From 74bb30b0f6d516be31432614e532960eb44fe7ef Mon Sep 17 00:00:00 2001
From: Owl Bot <gcf-owl-bot[bot]@users.noreply.github.com>
Date: Thu, 14 Nov 2024 22:19:17 +0000
Subject: [PATCH 1/3] feat: update Go Datastore import path feat: update Go
 Bigtable import path feat: release MetadataJob APIs and related resources in
 GA feat: expose create time in DataScanJobAPI docs: correct API documentation
 feat: release metadata export in private preview feat: Add data_version field
 to AspectSource docs: add info about schema changes for BigQuery metadata in
 Dataplex Catalog docs: Add Identifier for `name` in message
 `.google.cloud.dataplex.v1.MetadataJob` per https://google.aip.dev/cloud/2510
 docs: Add comment for field `type` in message
 `.google.cloud.dataplex.v1.MetadataJob` per
 https://linter.aip.dev/192/has-comments docs: Add comment for field `status`
 in message `.google.cloud.dataplex.v1.MetadataJob` per
 https://linter.aip.dev/192/has-comments docs: Add link to fully qualified
 names documentation feat: add annotations in CreateMetadataJob,
 GetMetadataJob, ListMetaDataJobs and CancelMetadataJob for cloud audit
 logging feat: Add new Data Discovery scan type in Datascan docs: Scrub
 descriptions for standalone discovery scans docs: correct the dimensions for
 data quality rules feat: A new field `suspended` is added to DataScans feat:
 expose create time to customers feat: Add a TABLE_PUBLISHED field in
 DiscoveryEvent feat: Add a TABLE_UPDATED field in DiscoveryEvent feat: Add a
 TABLE_IGNORED field in DiscoveryEvent feat: Add a TABLE_DELETED field in
 DiscoveryEvent feat: Add a DATA_DISCOVERY enum type in DataScanEvent feat:
 Add a DataDiscoveryAppliedConfigs message docs: A comment for message
 `DataScanEvent` is changed feat: Add an Issue field to
 DiscoveryEvent.ActionDetails to output the action message in Cloud Logs feat:
 A new enum `TableType` is added feat: A new message `TableDetails` is added
 feat: A new field `datascan_id` is added to message
 `.google.cloud.dataplex.v1.DiscoveryEvent` feat: A new field `table` is added
 to message `.google.cloud.dataplex.v1.DiscoveryEvent` docs: Dataplex Tasks do
 not support Dataplex Content path as a direct input anymore

PiperOrigin-RevId: 696600248

Source-Link: https://github.com/googleapis/googleapis/commit/43e53378966d2539cd44d31d9a33d5259fc4c73c

Source-Link: https://github.com/googleapis/googleapis-gen/commit/1f67afb4970ea4c3fe535021a5fc8ba16968a026
Copy-Tag: eyJwIjoicGFja2FnZXMvZ29vZ2xlLWNsb3VkLWRhdGFwbGV4Ly5Pd2xCb3QueWFtbCIsImgiOiIxZjY3YWZiNDk3MGVhNGMzZmU1MzUwMjFhNWZjOGJhMTY5NjhhMDI2In0=
---
 .../google-cloud-dataplex/v1/.coveragerc      |    13 +
 .../google-cloud-dataplex/v1/.flake8          |    33 +
 .../google-cloud-dataplex/v1/MANIFEST.in      |     2 +
 .../google-cloud-dataplex/v1/README.rst       |    49 +
 .../v1/docs/_static/custom.css                |     3 +
 .../google-cloud-dataplex/v1/docs/conf.py     |   376 +
 .../v1/docs/dataplex_v1/catalog_service.rst   |    10 +
 .../v1/docs/dataplex_v1/content_service.rst   |    10 +
 .../v1/docs/dataplex_v1/data_scan_service.rst |    10 +
 .../dataplex_v1/data_taxonomy_service.rst     |    10 +
 .../v1/docs/dataplex_v1/dataplex_service.rst  |    10 +
 .../v1/docs/dataplex_v1/metadata_service.rst  |    10 +
 .../v1/docs/dataplex_v1/services_.rst         |    11 +
 .../v1/docs/dataplex_v1/types_.rst            |     6 +
 .../google-cloud-dataplex/v1/docs/index.rst   |     7 +
 .../v1/google/cloud/dataplex/__init__.py      |   407 +
 .../v1/google/cloud/dataplex/gapic_version.py |    16 +
 .../v1/google/cloud/dataplex/py.typed         |     2 +
 .../v1/google/cloud/dataplex_v1/__init__.py   |   408 +
 .../cloud/dataplex_v1/gapic_metadata.json     |  1093 +
 .../google/cloud/dataplex_v1/gapic_version.py |    16 +
 .../v1/google/cloud/dataplex_v1/py.typed      |     2 +
 .../cloud/dataplex_v1/services/__init__.py    |    15 +
 .../services/catalog_service/__init__.py      |    22 +
 .../services/catalog_service/async_client.py  |  3652 ++++
 .../services/catalog_service/client.py        |  3986 ++++
 .../services/catalog_service/pagers.py        |   837 +
 .../catalog_service/transports/README.rst     |     9 +
 .../catalog_service/transports/__init__.py    |    33 +
 .../catalog_service/transports/base.py        |   707 +
 .../catalog_service/transports/grpc.py        |  1076 +
 .../transports/grpc_asyncio.py                |  1362 ++
 .../services/content_service/__init__.py      |    22 +
 .../services/content_service/async_client.py  |  1435 ++
 .../services/content_service/client.py        |  1767 ++
 .../services/content_service/pagers.py        |   163 +
 .../content_service/transports/README.rst     |     9 +
 .../content_service/transports/__init__.py    |    33 +
 .../content_service/transports/base.py        |   377 +
 .../content_service/transports/grpc.py        |   587 +
 .../transports/grpc_asyncio.py                |   709 +
 .../services/data_scan_service/__init__.py    |    22 +
 .../data_scan_service/async_client.py         |  1665 ++
 .../services/data_scan_service/client.py      |  2015 ++
 .../services/data_scan_service/pagers.py      |   297 +
 .../data_scan_service/transports/README.rst   |     9 +
 .../data_scan_service/transports/__init__.py  |    33 +
 .../data_scan_service/transports/base.py      |   358 +
 .../data_scan_service/transports/grpc.py      |   615 +
 .../transports/grpc_asyncio.py                |   706 +
 .../data_taxonomy_service/__init__.py         |    22 +
 .../data_taxonomy_service/async_client.py     |  2420 +++
 .../services/data_taxonomy_service/client.py  |  2746 +++
 .../services/data_taxonomy_service/pagers.py  |   432 +
 .../transports/README.rst                     |     9 +
 .../transports/__init__.py                    |    33 +
 .../data_taxonomy_service/transports/base.py  |   443 +
 .../data_taxonomy_service/transports/grpc.py  |   773 +
 .../transports/grpc_asyncio.py                |   894 +
 .../services/dataplex_service/__init__.py     |    22 +
 .../services/dataplex_service/async_client.py |  4580 +++++
 .../services/dataplex_service/client.py       |  4933 +++++
 .../services/dataplex_service/pagers.py       |  1380 ++
 .../dataplex_service/transports/README.rst    |     9 +
 .../dataplex_service/transports/__init__.py   |    33 +
 .../dataplex_service/transports/base.py       |   833 +
 .../dataplex_service/transports/grpc.py       |  1247 ++
 .../transports/grpc_asyncio.py                |  1593 ++
 .../services/metadata_service/__init__.py     |    22 +
 .../services/metadata_service/async_client.py |  1507 ++
 .../services/metadata_service/client.py       |  1840 ++
 .../services/metadata_service/pagers.py       |   297 +
 .../metadata_service/transports/README.rst    |     9 +
 .../metadata_service/transports/__init__.py   |    33 +
 .../metadata_service/transports/base.py       |   389 +
 .../metadata_service/transports/grpc.py       |   593 +
 .../transports/grpc_asyncio.py                |   720 +
 .../cloud/dataplex_v1/types/__init__.py       |   408 +
 .../google/cloud/dataplex_v1/types/analyze.py |   491 +
 .../google/cloud/dataplex_v1/types/catalog.py |  2630 +++
 .../google/cloud/dataplex_v1/types/content.py |   227 +
 .../cloud/dataplex_v1/types/data_discovery.py |   250 +
 .../cloud/dataplex_v1/types/data_profile.py   |   540 +
 .../cloud/dataplex_v1/types/data_quality.py   |   912 +
 .../cloud/dataplex_v1/types/data_taxonomy.py  |   976 +
 .../cloud/dataplex_v1/types/datascans.py      |   905 +
 .../v1/google/cloud/dataplex_v1/types/logs.py |  1352 ++
 .../cloud/dataplex_v1/types/metadata_.py      |  1182 ++
 .../cloud/dataplex_v1/types/processing.py     |   186 +
 .../cloud/dataplex_v1/types/resources.py      |  1444 ++
 .../cloud/dataplex_v1/types/security.py       |    90 +
 .../google/cloud/dataplex_v1/types/service.py |  1395 ++
 .../google/cloud/dataplex_v1/types/tasks.py   |   751 +
 .../google-cloud-dataplex/v1/mypy.ini         |     3 +
 .../google-cloud-dataplex/v1/noxfile.py       |   280 +
 ...talog_service_cancel_metadata_job_async.py |    50 +
 ...atalog_service_cancel_metadata_job_sync.py |    50 +
 ...atalog_service_create_aspect_type_async.py |    62 +
 ...catalog_service_create_aspect_type_sync.py |    62 +
 ...ated_catalog_service_create_entry_async.py |    57 +
 ...atalog_service_create_entry_group_async.py |    57 +
 ...catalog_service_create_entry_group_sync.py |    57 +
 ...rated_catalog_service_create_entry_sync.py |    57 +
 ...catalog_service_create_entry_type_async.py |    57 +
 ..._catalog_service_create_entry_type_sync.py |    57 +
 ...talog_service_create_metadata_job_async.py |    64 +
 ...atalog_service_create_metadata_job_sync.py |    64 +
 ...atalog_service_delete_aspect_type_async.py |    56 +
 ...catalog_service_delete_aspect_type_sync.py |    56 +
 ...ated_catalog_service_delete_entry_async.py |    52 +
 ...atalog_service_delete_entry_group_async.py |    56 +
 ...catalog_service_delete_entry_group_sync.py |    56 +
 ...rated_catalog_service_delete_entry_sync.py |    52 +
 ...catalog_service_delete_entry_type_async.py |    56 +
 ..._catalog_service_delete_entry_type_sync.py |    56 +
 ...d_catalog_service_get_aspect_type_async.py |    52 +
 ...ed_catalog_service_get_aspect_type_sync.py |    52 +
 ...nerated_catalog_service_get_entry_async.py |    52 +
 ...d_catalog_service_get_entry_group_async.py |    52 +
 ...ed_catalog_service_get_entry_group_sync.py |    52 +
 ...enerated_catalog_service_get_entry_sync.py |    52 +
 ...ed_catalog_service_get_entry_type_async.py |    52 +
 ...ted_catalog_service_get_entry_type_sync.py |    52 +
 ..._catalog_service_get_metadata_job_async.py |    52 +
 ...d_catalog_service_get_metadata_job_sync.py |    52 +
 ...catalog_service_list_aspect_types_async.py |    53 +
 ..._catalog_service_list_aspect_types_sync.py |    53 +
 ...ated_catalog_service_list_entries_async.py |    53 +
 ...rated_catalog_service_list_entries_sync.py |    53 +
 ...catalog_service_list_entry_groups_async.py |    53 +
 ..._catalog_service_list_entry_groups_sync.py |    53 +
 ..._catalog_service_list_entry_types_async.py |    53 +
 ...d_catalog_service_list_entry_types_sync.py |    53 +
 ...atalog_service_list_metadata_jobs_async.py |    53 +
 ...catalog_service_list_metadata_jobs_sync.py |    53 +
 ...ated_catalog_service_lookup_entry_async.py |    53 +
 ...rated_catalog_service_lookup_entry_sync.py |    53 +
 ...ed_catalog_service_search_entries_async.py |    54 +
 ...ted_catalog_service_search_entries_sync.py |    54 +
 ...atalog_service_update_aspect_type_async.py |    60 +
 ...catalog_service_update_aspect_type_sync.py |    60 +
 ...ated_catalog_service_update_entry_async.py |    55 +
 ...atalog_service_update_entry_group_async.py |    55 +
 ...catalog_service_update_entry_group_sync.py |    55 +
 ...rated_catalog_service_update_entry_sync.py |    55 +
 ...catalog_service_update_entry_type_async.py |    55 +
 ..._catalog_service_update_entry_type_sync.py |    55 +
 ...ed_content_service_create_content_async.py |    58 +
 ...ted_content_service_create_content_sync.py |    58 +
 ...ed_content_service_delete_content_async.py |    50 +
 ...ted_content_service_delete_content_sync.py |    50 +
 ...rated_content_service_get_content_async.py |    52 +
 ...erated_content_service_get_content_sync.py |    52 +
 ...ed_content_service_get_iam_policy_async.py |    53 +
 ...ted_content_service_get_iam_policy_sync.py |    53 +
 ...ated_content_service_list_content_async.py |    53 +
 ...rated_content_service_list_content_sync.py |    53 +
 ...ed_content_service_set_iam_policy_async.py |    53 +
 ...ted_content_service_set_iam_policy_sync.py |    53 +
 ...tent_service_test_iam_permissions_async.py |    54 +
 ...ntent_service_test_iam_permissions_sync.py |    54 +
 ...ed_content_service_update_content_async.py |    57 +
 ...ted_content_service_update_content_sync.py |    57 +
 ...ata_scan_service_create_data_scan_async.py |    62 +
 ...data_scan_service_create_data_scan_sync.py |    62 +
 ...ata_scan_service_delete_data_scan_async.py |    56 +
 ...data_scan_service_delete_data_scan_sync.py |    56 +
 ...rvice_generate_data_quality_rules_async.py |    52 +
 ...ervice_generate_data_quality_rules_sync.py |    52 +
 ...d_data_scan_service_get_data_scan_async.py |    52 +
 ...ta_scan_service_get_data_scan_job_async.py |    52 +
 ...ata_scan_service_get_data_scan_job_sync.py |    52 +
 ...ed_data_scan_service_get_data_scan_sync.py |    52 +
 ..._scan_service_list_data_scan_jobs_async.py |    53 +
 ...a_scan_service_list_data_scan_jobs_sync.py |    53 +
 ...data_scan_service_list_data_scans_async.py |    53 +
 ..._data_scan_service_list_data_scans_sync.py |    53 +
 ...d_data_scan_service_run_data_scan_async.py |    52 +
 ...ed_data_scan_service_run_data_scan_sync.py |    52 +
 ...ata_scan_service_update_data_scan_async.py |    60 +
 ...data_scan_service_update_data_scan_sync.py |    60 +
 ...omy_service_create_data_attribute_async.py |    57 +
 ...ice_create_data_attribute_binding_async.py |    61 +
 ...vice_create_data_attribute_binding_sync.py |    61 +
 ...nomy_service_create_data_attribute_sync.py |    57 +
 ...nomy_service_create_data_taxonomy_async.py |    57 +
 ...onomy_service_create_data_taxonomy_sync.py |    57 +
 ...omy_service_delete_data_attribute_async.py |    56 +
 ...ice_delete_data_attribute_binding_async.py |    57 +
 ...vice_delete_data_attribute_binding_sync.py |    57 +
 ...nomy_service_delete_data_attribute_sync.py |    56 +
 ...nomy_service_delete_data_taxonomy_async.py |    56 +
 ...onomy_service_delete_data_taxonomy_sync.py |    56 +
 ...xonomy_service_get_data_attribute_async.py |    52 +
 ...ervice_get_data_attribute_binding_async.py |    52 +
 ...service_get_data_attribute_binding_sync.py |    52 +
 ...axonomy_service_get_data_attribute_sync.py |    52 +
 ...axonomy_service_get_data_taxonomy_async.py |    52 +
 ...taxonomy_service_get_data_taxonomy_sync.py |    52 +
 ...vice_list_data_attribute_bindings_async.py |    53 +
 ...rvice_list_data_attribute_bindings_sync.py |    53 +
 ...nomy_service_list_data_attributes_async.py |    53 +
 ...onomy_service_list_data_attributes_sync.py |    53 +
 ...nomy_service_list_data_taxonomies_async.py |    53 +
 ...onomy_service_list_data_taxonomies_sync.py |    53 +
 ...omy_service_update_data_attribute_async.py |    55 +
 ...ice_update_data_attribute_binding_async.py |    59 +
 ...vice_update_data_attribute_binding_sync.py |    59 +
 ...nomy_service_update_data_attribute_sync.py |    55 +
 ...nomy_service_update_data_taxonomy_async.py |    55 +
 ...onomy_service_update_data_taxonomy_sync.py |    55 +
 ...rated_dataplex_service_cancel_job_async.py |    50 +
 ...erated_dataplex_service_cancel_job_sync.py |    50 +
 ...ted_dataplex_service_create_asset_async.py |    61 +
 ...ated_dataplex_service_create_asset_sync.py |    61 +
 ...taplex_service_create_environment_async.py |    61 +
 ...ataplex_service_create_environment_sync.py |    61 +
 ...ated_dataplex_service_create_lake_async.py |    57 +
 ...rated_dataplex_service_create_lake_sync.py |    57 +
 ...ated_dataplex_service_create_task_async.py |    64 +
 ...rated_dataplex_service_create_task_sync.py |    64 +
 ...ated_dataplex_service_create_zone_async.py |    62 +
 ...rated_dataplex_service_create_zone_sync.py |    62 +
 ...ted_dataplex_service_delete_asset_async.py |    56 +
 ...ated_dataplex_service_delete_asset_sync.py |    56 +
 ...taplex_service_delete_environment_async.py |    56 +
 ...ataplex_service_delete_environment_sync.py |    56 +
 ...ated_dataplex_service_delete_lake_async.py |    56 +
 ...rated_dataplex_service_delete_lake_sync.py |    56 +
 ...ated_dataplex_service_delete_task_async.py |    56 +
 ...rated_dataplex_service_delete_task_sync.py |    56 +
 ...ated_dataplex_service_delete_zone_async.py |    56 +
 ...rated_dataplex_service_delete_zone_sync.py |    56 +
 ...erated_dataplex_service_get_asset_async.py |    52 +
 ...nerated_dataplex_service_get_asset_sync.py |    52 +
 ..._dataplex_service_get_environment_async.py |    52 +
 ...d_dataplex_service_get_environment_sync.py |    52 +
 ...enerated_dataplex_service_get_job_async.py |    52 +
 ...generated_dataplex_service_get_job_sync.py |    52 +
 ...nerated_dataplex_service_get_lake_async.py |    52 +
 ...enerated_dataplex_service_get_lake_sync.py |    52 +
 ...nerated_dataplex_service_get_task_async.py |    52 +
 ...enerated_dataplex_service_get_task_sync.py |    52 +
 ...nerated_dataplex_service_get_zone_async.py |    52 +
 ...enerated_dataplex_service_get_zone_sync.py |    52 +
 ...taplex_service_list_asset_actions_async.py |    53 +
 ...ataplex_service_list_asset_actions_sync.py |    53 +
 ...ated_dataplex_service_list_assets_async.py |    53 +
 ...rated_dataplex_service_list_assets_sync.py |    53 +
 ...ataplex_service_list_environments_async.py |    53 +
 ...dataplex_service_list_environments_sync.py |    53 +
 ...erated_dataplex_service_list_jobs_async.py |    53 +
 ...nerated_dataplex_service_list_jobs_sync.py |    53 +
 ...ataplex_service_list_lake_actions_async.py |    53 +
 ...dataplex_service_list_lake_actions_sync.py |    53 +
 ...rated_dataplex_service_list_lakes_async.py |    53 +
 ...erated_dataplex_service_list_lakes_sync.py |    53 +
 ...ed_dataplex_service_list_sessions_async.py |    53 +
 ...ted_dataplex_service_list_sessions_sync.py |    53 +
 ...rated_dataplex_service_list_tasks_async.py |    53 +
 ...erated_dataplex_service_list_tasks_sync.py |    53 +
 ...ataplex_service_list_zone_actions_async.py |    53 +
 ...dataplex_service_list_zone_actions_sync.py |    53 +
 ...rated_dataplex_service_list_zones_async.py |    53 +
 ...erated_dataplex_service_list_zones_sync.py |    53 +
 ...nerated_dataplex_service_run_task_async.py |    52 +
 ...enerated_dataplex_service_run_task_sync.py |    52 +
 ...ted_dataplex_service_update_asset_async.py |    59 +
 ...ated_dataplex_service_update_asset_sync.py |    59 +
 ...taplex_service_update_environment_async.py |    59 +
 ...ataplex_service_update_environment_sync.py |    59 +
 ...ated_dataplex_service_update_lake_async.py |    55 +
 ...rated_dataplex_service_update_lake_sync.py |    55 +
 ...ated_dataplex_service_update_task_async.py |    62 +
 ...rated_dataplex_service_update_task_sync.py |    62 +
 ...ated_dataplex_service_update_zone_async.py |    60 +
 ...rated_dataplex_service_update_zone_sync.py |    60 +
 ...ed_metadata_service_create_entity_async.py |    62 +
 ...ted_metadata_service_create_entity_sync.py |    62 +
 ...metadata_service_create_partition_async.py |    57 +
 ..._metadata_service_create_partition_sync.py |    57 +
 ...ed_metadata_service_delete_entity_async.py |    51 +
 ...ted_metadata_service_delete_entity_sync.py |    51 +
 ...metadata_service_delete_partition_async.py |    50 +
 ..._metadata_service_delete_partition_sync.py |    50 +
 ...rated_metadata_service_get_entity_async.py |    52 +
 ...erated_metadata_service_get_entity_sync.py |    52 +
 ...ed_metadata_service_get_partition_async.py |    52 +
 ...ted_metadata_service_get_partition_sync.py |    52 +
 ...ed_metadata_service_list_entities_async.py |    54 +
 ...ted_metadata_service_list_entities_sync.py |    54 +
 ..._metadata_service_list_partitions_async.py |    53 +
 ...d_metadata_service_list_partitions_sync.py |    53 +
 ...ed_metadata_service_update_entity_async.py |    61 +
 ...ted_metadata_service_update_entity_sync.py |    61 +
 ...pet_metadata_google.cloud.dataplex.v1.json | 16421 +++++++++++++++
 .../v1/scripts/fixup_dataplex_v1_keywords.py  |   275 +
 .../google-cloud-dataplex/v1/setup.py         |    99 +
 .../v1/testing/constraints-3.10.txt           |     7 +
 .../v1/testing/constraints-3.11.txt           |     7 +
 .../v1/testing/constraints-3.12.txt           |     7 +
 .../v1/testing/constraints-3.13.txt           |     7 +
 .../v1/testing/constraints-3.7.txt            |    11 +
 .../v1/testing/constraints-3.8.txt            |     7 +
 .../v1/testing/constraints-3.9.txt            |     7 +
 .../v1/tests/__init__.py                      |    16 +
 .../v1/tests/unit/__init__.py                 |    16 +
 .../v1/tests/unit/gapic/__init__.py           |    16 +
 .../tests/unit/gapic/dataplex_v1/__init__.py  |    16 +
 .../gapic/dataplex_v1/test_catalog_service.py | 13193 ++++++++++++
 .../gapic/dataplex_v1/test_content_service.py |  5202 +++++
 .../dataplex_v1/test_data_scan_service.py     |  6013 ++++++
 .../dataplex_v1/test_data_taxonomy_service.py |  8505 ++++++++
 .../dataplex_v1/test_dataplex_service.py      | 16649 ++++++++++++++++
 .../dataplex_v1/test_metadata_service.py      |  5952 ++++++
 315 files changed, 150265 insertions(+)
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/.coveragerc
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/.flake8
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/MANIFEST.in
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/README.rst
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/docs/_static/custom.css
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/docs/conf.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/docs/dataplex_v1/catalog_service.rst
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/docs/dataplex_v1/content_service.rst
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/docs/dataplex_v1/data_scan_service.rst
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/docs/dataplex_v1/data_taxonomy_service.rst
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/docs/dataplex_v1/dataplex_service.rst
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/docs/dataplex_v1/metadata_service.rst
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 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_list_data_scans_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_run_data_scan_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_run_data_scan_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_update_data_scan_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_update_data_scan_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_create_data_attribute_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_create_data_attribute_binding_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_create_data_attribute_binding_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_create_data_attribute_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_create_data_taxonomy_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_create_data_taxonomy_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_delete_data_attribute_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_delete_data_attribute_binding_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_delete_data_attribute_binding_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_delete_data_attribute_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_delete_data_taxonomy_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_delete_data_taxonomy_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_get_data_attribute_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_get_data_attribute_binding_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_get_data_attribute_binding_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_get_data_attribute_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_get_data_taxonomy_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_get_data_taxonomy_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_list_data_attribute_bindings_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_list_data_attribute_bindings_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_list_data_attributes_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_list_data_attributes_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_list_data_taxonomies_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_list_data_taxonomies_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_update_data_attribute_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_update_data_attribute_binding_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_update_data_attribute_binding_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_update_data_attribute_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_update_data_taxonomy_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_update_data_taxonomy_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_cancel_job_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_cancel_job_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_asset_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_asset_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_environment_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_environment_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_lake_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_lake_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_task_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_task_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_zone_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_zone_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_asset_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_asset_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_environment_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_environment_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_lake_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_lake_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_task_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_task_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_zone_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_zone_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_asset_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_asset_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_environment_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_environment_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_job_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_job_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_lake_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_lake_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_task_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_task_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_zone_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_zone_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_asset_actions_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_asset_actions_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_assets_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_assets_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_environments_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_environments_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_jobs_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_jobs_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_lake_actions_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_lake_actions_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_lakes_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_lakes_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_sessions_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_sessions_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_tasks_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_tasks_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_zone_actions_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_zone_actions_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_zones_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_zones_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_run_task_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_run_task_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_asset_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_asset_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_environment_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_environment_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_lake_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_lake_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_task_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_task_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_zone_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_zone_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_create_entity_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_create_entity_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_create_partition_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_create_partition_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_delete_entity_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_delete_entity_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_delete_partition_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_delete_partition_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_get_entity_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_get_entity_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_get_partition_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_get_partition_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_list_entities_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_list_entities_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_list_partitions_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_list_partitions_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_update_entity_async.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_update_entity_sync.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/snippet_metadata_google.cloud.dataplex.v1.json
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/scripts/fixup_dataplex_v1_keywords.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/setup.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/testing/constraints-3.10.txt
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/testing/constraints-3.11.txt
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/testing/constraints-3.12.txt
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/testing/constraints-3.13.txt
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/testing/constraints-3.7.txt
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/testing/constraints-3.8.txt
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/testing/constraints-3.9.txt
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/tests/__init__.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/tests/unit/__init__.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/tests/unit/gapic/__init__.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/tests/unit/gapic/dataplex_v1/__init__.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/tests/unit/gapic/dataplex_v1/test_catalog_service.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/tests/unit/gapic/dataplex_v1/test_content_service.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/tests/unit/gapic/dataplex_v1/test_data_scan_service.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/tests/unit/gapic/dataplex_v1/test_data_taxonomy_service.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/tests/unit/gapic/dataplex_v1/test_dataplex_service.py
 create mode 100644 owl-bot-staging/google-cloud-dataplex/v1/tests/unit/gapic/dataplex_v1/test_metadata_service.py

diff --git a/owl-bot-staging/google-cloud-dataplex/v1/.coveragerc b/owl-bot-staging/google-cloud-dataplex/v1/.coveragerc
new file mode 100644
index 000000000000..8df508b38cbc
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/.coveragerc
@@ -0,0 +1,13 @@
+[run]
+branch = True
+
+[report]
+show_missing = True
+omit =
+    google/cloud/dataplex/__init__.py
+    google/cloud/dataplex/gapic_version.py
+exclude_lines =
+    # Re-enable the standard pragma
+    pragma: NO COVER
+    # Ignore debug-only repr
+    def __repr__
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/.flake8 b/owl-bot-staging/google-cloud-dataplex/v1/.flake8
new file mode 100644
index 000000000000..29227d4cf419
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/.flake8
@@ -0,0 +1,33 @@
+# -*- coding: utf-8 -*-
+#
+# Copyright 2020 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     https://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Generated by synthtool. DO NOT EDIT!
+[flake8]
+ignore = E203, E266, E501, W503
+exclude =
+  # Exclude generated code.
+  **/proto/**
+  **/gapic/**
+  **/services/**
+  **/types/**
+  *_pb2.py
+
+  # Standard linting exemptions.
+  **/.nox/**
+  __pycache__,
+  .git,
+  *.pyc,
+  conf.py
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/MANIFEST.in b/owl-bot-staging/google-cloud-dataplex/v1/MANIFEST.in
new file mode 100644
index 000000000000..eae3b9346087
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/MANIFEST.in
@@ -0,0 +1,2 @@
+recursive-include google/cloud/dataplex *.py
+recursive-include google/cloud/dataplex_v1 *.py
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/README.rst b/owl-bot-staging/google-cloud-dataplex/v1/README.rst
new file mode 100644
index 000000000000..a1910d929c5f
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/README.rst
@@ -0,0 +1,49 @@
+Python Client for Google Cloud Dataplex API
+=================================================
+
+Quick Start
+-----------
+
+In order to use this library, you first need to go through the following steps:
+
+1. `Select or create a Cloud Platform project.`_
+2. `Enable billing for your project.`_
+3. Enable the Google Cloud Dataplex API.
+4. `Setup Authentication.`_
+
+.. _Select or create a Cloud Platform project.: https://console.cloud.google.com/project
+.. _Enable billing for your project.: https://cloud.google.com/billing/docs/how-to/modify-project#enable_billing_for_a_project
+.. _Setup Authentication.: https://googleapis.dev/python/google-api-core/latest/auth.html
+
+Installation
+~~~~~~~~~~~~
+
+Install this library in a `virtualenv`_ using pip. `virtualenv`_ is a tool to
+create isolated Python environments. The basic problem it addresses is one of
+dependencies and versions, and indirectly permissions.
+
+With `virtualenv`_, it's possible to install this library without needing system
+install permissions, and without clashing with the installed system
+dependencies.
+
+.. _`virtualenv`: https://virtualenv.pypa.io/en/latest/
+
+
+Mac/Linux
+^^^^^^^^^
+
+.. code-block:: console
+
+    python3 -m venv <your-env>
+    source <your-env>/bin/activate
+    <your-env>/bin/pip install /path/to/library
+
+
+Windows
+^^^^^^^
+
+.. code-block:: console
+
+    python3 -m venv <your-env>
+    <your-env>\Scripts\activate
+    <your-env>\Scripts\pip.exe install \path\to\library
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/docs/_static/custom.css b/owl-bot-staging/google-cloud-dataplex/v1/docs/_static/custom.css
new file mode 100644
index 000000000000..06423be0b592
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/docs/_static/custom.css
@@ -0,0 +1,3 @@
+dl.field-list > dt {
+    min-width: 100px
+}
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/docs/conf.py b/owl-bot-staging/google-cloud-dataplex/v1/docs/conf.py
new file mode 100644
index 000000000000..56923e180c46
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/docs/conf.py
@@ -0,0 +1,376 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+#
+# google-cloud-dataplex documentation build configuration file
+#
+# This file is execfile()d with the current directory set to its
+# containing dir.
+#
+# Note that not all possible configuration values are present in this
+# autogenerated file.
+#
+# All configuration values have a default; values that are commented out
+# serve to show the default.
+
+import sys
+import os
+import shlex
+
+# If extensions (or modules to document with autodoc) are in another directory,
+# add these directories to sys.path here. If the directory is relative to the
+# documentation root, use os.path.abspath to make it absolute, like shown here.
+sys.path.insert(0, os.path.abspath(".."))
+
+__version__ = "0.1.0"
+
+# -- General configuration ------------------------------------------------
+
+# If your documentation needs a minimal Sphinx version, state it here.
+needs_sphinx = "4.0.1"
+
+# Add any Sphinx extension module names here, as strings. They can be
+# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
+# ones.
+extensions = [
+    "sphinx.ext.autodoc",
+    "sphinx.ext.autosummary",
+    "sphinx.ext.intersphinx",
+    "sphinx.ext.coverage",
+    "sphinx.ext.napoleon",
+    "sphinx.ext.todo",
+    "sphinx.ext.viewcode",
+]
+
+# autodoc/autosummary flags
+autoclass_content = "both"
+autodoc_default_flags = ["members"]
+autosummary_generate = True
+
+
+# Add any paths that contain templates here, relative to this directory.
+templates_path = ["_templates"]
+
+# Allow markdown includes (so releases.md can include CHANGLEOG.md)
+# http://www.sphinx-doc.org/en/master/markdown.html
+source_parsers = {".md": "recommonmark.parser.CommonMarkParser"}
+
+# The suffix(es) of source filenames.
+# You can specify multiple suffix as a list of string:
+source_suffix = [".rst", ".md"]
+
+# The encoding of source files.
+# source_encoding = 'utf-8-sig'
+
+# The root toctree document.
+root_doc = "index"
+
+# General information about the project.
+project = u"google-cloud-dataplex"
+copyright = u"2023, Google, LLC"
+author = u"Google APIs"         # TODO: autogenerate this bit
+
+# The version info for the project you're documenting, acts as replacement for
+# |version| and |release|, also used in various other places throughout the
+# built documents.
+#
+# The full version, including alpha/beta/rc tags.
+release = __version__
+# The short X.Y version.
+version = ".".join(release.split(".")[0:2])
+
+# The language for content autogenerated by Sphinx. Refer to documentation
+# for a list of supported languages.
+#
+# This is also used if you do content translation via gettext catalogs.
+# Usually you set "language" from the command line for these cases.
+language = 'en'
+
+# There are two options for replacing |today|: either, you set today to some
+# non-false value, then it is used:
+# today = ''
+# Else, today_fmt is used as the format for a strftime call.
+# today_fmt = '%B %d, %Y'
+
+# List of patterns, relative to source directory, that match files and
+# directories to ignore when looking for source files.
+exclude_patterns = ["_build"]
+
+# The reST default role (used for this markup: `text`) to use for all
+# documents.
+# default_role = None
+
+# If true, '()' will be appended to :func: etc. cross-reference text.
+# add_function_parentheses = True
+
+# If true, the current module name will be prepended to all description
+# unit titles (such as .. function::).
+# add_module_names = True
+
+# If true, sectionauthor and moduleauthor directives will be shown in the
+# output. They are ignored by default.
+# show_authors = False
+
+# The name of the Pygments (syntax highlighting) style to use.
+pygments_style = "sphinx"
+
+# A list of ignored prefixes for module index sorting.
+# modindex_common_prefix = []
+
+# If true, keep warnings as "system message" paragraphs in the built documents.
+# keep_warnings = False
+
+# If true, `todo` and `todoList` produce output, else they produce nothing.
+todo_include_todos = True
+
+
+# -- Options for HTML output ----------------------------------------------
+
+# The theme to use for HTML and HTML Help pages.  See the documentation for
+# a list of builtin themes.
+html_theme = "alabaster"
+
+# Theme options are theme-specific and customize the look and feel of a theme
+# further.  For a list of options available for each theme, see the
+# documentation.
+html_theme_options = {
+    "description": "Google Cloud Client Libraries for Python",
+    "github_user": "googleapis",
+    "github_repo": "google-cloud-python",
+    "github_banner": True,
+    "font_family": "'Roboto', Georgia, sans",
+    "head_font_family": "'Roboto', Georgia, serif",
+    "code_font_family": "'Roboto Mono', 'Consolas', monospace",
+}
+
+# Add any paths that contain custom themes here, relative to this directory.
+# html_theme_path = []
+
+# The name for this set of Sphinx documents.  If None, it defaults to
+# "<project> v<release> documentation".
+# html_title = None
+
+# A shorter title for the navigation bar.  Default is the same as html_title.
+# html_short_title = None
+
+# The name of an image file (relative to this directory) to place at the top
+# of the sidebar.
+# html_logo = None
+
+# The name of an image file (within the static path) to use as favicon of the
+# docs.  This file should be a Windows icon file (.ico) being 16x16 or 32x32
+# pixels large.
+# html_favicon = None
+
+# Add any paths that contain custom static files (such as style sheets) here,
+# relative to this directory. They are copied after the builtin static files,
+# so a file named "default.css" will overwrite the builtin "default.css".
+html_static_path = ["_static"]
+
+# Add any extra paths that contain custom files (such as robots.txt or
+# .htaccess) here, relative to this directory. These files are copied
+# directly to the root of the documentation.
+# html_extra_path = []
+
+# If not '', a 'Last updated on:' timestamp is inserted at every page bottom,
+# using the given strftime format.
+# html_last_updated_fmt = '%b %d, %Y'
+
+# If true, SmartyPants will be used to convert quotes and dashes to
+# typographically correct entities.
+# html_use_smartypants = True
+
+# Custom sidebar templates, maps document names to template names.
+# html_sidebars = {}
+
+# Additional templates that should be rendered to pages, maps page names to
+# template names.
+# html_additional_pages = {}
+
+# If false, no module index is generated.
+# html_domain_indices = True
+
+# If false, no index is generated.
+# html_use_index = True
+
+# If true, the index is split into individual pages for each letter.
+# html_split_index = False
+
+# If true, links to the reST sources are added to the pages.
+# html_show_sourcelink = True
+
+# If true, "Created using Sphinx" is shown in the HTML footer. Default is True.
+# html_show_sphinx = True
+
+# If true, "(C) Copyright ..." is shown in the HTML footer. Default is True.
+# html_show_copyright = True
+
+# If true, an OpenSearch description file will be output, and all pages will
+# contain a <link> tag referring to it.  The value of this option must be the
+# base URL from which the finished HTML is served.
+# html_use_opensearch = ''
+
+# This is the file name suffix for HTML files (e.g. ".xhtml").
+# html_file_suffix = None
+
+# Language to be used for generating the HTML full-text search index.
+# Sphinx supports the following languages:
+#   'da', 'de', 'en', 'es', 'fi', 'fr', 'hu', 'it', 'ja'
+#   'nl', 'no', 'pt', 'ro', 'ru', 'sv', 'tr'
+# html_search_language = 'en'
+
+# A dictionary with options for the search language support, empty by default.
+# Now only 'ja' uses this config value
+# html_search_options = {'type': 'default'}
+
+# The name of a javascript file (relative to the configuration directory) that
+# implements a search results scorer. If empty, the default will be used.
+# html_search_scorer = 'scorer.js'
+
+# Output file base name for HTML help builder.
+htmlhelp_basename = "google-cloud-dataplex-doc"
+
+# -- Options for warnings ------------------------------------------------------
+
+
+suppress_warnings = [
+    # Temporarily suppress this to avoid "more than one target found for
+    # cross-reference" warning, which are intractable for us to avoid while in
+    # a mono-repo.
+    # See https://github.com/sphinx-doc/sphinx/blob
+    # /2a65ffeef5c107c19084fabdd706cdff3f52d93c/sphinx/domains/python.py#L843
+    "ref.python"
+]
+
+# -- Options for LaTeX output ---------------------------------------------
+
+latex_elements = {
+    # The paper size ('letterpaper' or 'a4paper').
+    # 'papersize': 'letterpaper',
+    # The font size ('10pt', '11pt' or '12pt').
+    # 'pointsize': '10pt',
+    # Additional stuff for the LaTeX preamble.
+    # 'preamble': '',
+    # Latex figure (float) alignment
+    # 'figure_align': 'htbp',
+}
+
+# Grouping the document tree into LaTeX files. List of tuples
+# (source start file, target name, title,
+#  author, documentclass [howto, manual, or own class]).
+latex_documents = [
+    (
+        root_doc,
+        "google-cloud-dataplex.tex",
+        u"google-cloud-dataplex Documentation",
+        author,
+        "manual",
+    )
+]
+
+# The name of an image file (relative to this directory) to place at the top of
+# the title page.
+# latex_logo = None
+
+# For "manual" documents, if this is true, then toplevel headings are parts,
+# not chapters.
+# latex_use_parts = False
+
+# If true, show page references after internal links.
+# latex_show_pagerefs = False
+
+# If true, show URL addresses after external links.
+# latex_show_urls = False
+
+# Documents to append as an appendix to all manuals.
+# latex_appendices = []
+
+# If false, no module index is generated.
+# latex_domain_indices = True
+
+
+# -- Options for manual page output ---------------------------------------
+
+# One entry per manual page. List of tuples
+# (source start file, name, description, authors, manual section).
+man_pages = [
+    (
+        root_doc,
+        "google-cloud-dataplex",
+        u"Google Cloud Dataplex Documentation",
+        [author],
+        1,
+    )
+]
+
+# If true, show URL addresses after external links.
+# man_show_urls = False
+
+
+# -- Options for Texinfo output -------------------------------------------
+
+# Grouping the document tree into Texinfo files. List of tuples
+# (source start file, target name, title, author,
+#  dir menu entry, description, category)
+texinfo_documents = [
+    (
+        root_doc,
+        "google-cloud-dataplex",
+        u"google-cloud-dataplex Documentation",
+        author,
+        "google-cloud-dataplex",
+        "GAPIC library for Google Cloud Dataplex API",
+        "APIs",
+    )
+]
+
+# Documents to append as an appendix to all manuals.
+# texinfo_appendices = []
+
+# If false, no module index is generated.
+# texinfo_domain_indices = True
+
+# How to display URL addresses: 'footnote', 'no', or 'inline'.
+# texinfo_show_urls = 'footnote'
+
+# If true, do not generate a @detailmenu in the "Top" node's menu.
+# texinfo_no_detailmenu = False
+
+
+# Example configuration for intersphinx: refer to the Python standard library.
+intersphinx_mapping = {
+    "python": ("http://python.readthedocs.org/en/latest/", None),
+    "gax": ("https://gax-python.readthedocs.org/en/latest/", None),
+    "google-auth": ("https://google-auth.readthedocs.io/en/stable", None),
+    "google-gax": ("https://gax-python.readthedocs.io/en/latest/", None),
+    "google.api_core": ("https://googleapis.dev/python/google-api-core/latest/", None),
+    "grpc": ("https://grpc.io/grpc/python/", None),
+    "requests": ("http://requests.kennethreitz.org/en/stable/", None),
+    "proto": ("https://proto-plus-python.readthedocs.io/en/stable", None),
+    "protobuf": ("https://googleapis.dev/python/protobuf/latest/", None),
+}
+
+
+# Napoleon settings
+napoleon_google_docstring = True
+napoleon_numpy_docstring = True
+napoleon_include_private_with_doc = False
+napoleon_include_special_with_doc = True
+napoleon_use_admonition_for_examples = False
+napoleon_use_admonition_for_notes = False
+napoleon_use_admonition_for_references = False
+napoleon_use_ivar = False
+napoleon_use_param = True
+napoleon_use_rtype = True
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/docs/dataplex_v1/catalog_service.rst b/owl-bot-staging/google-cloud-dataplex/v1/docs/dataplex_v1/catalog_service.rst
new file mode 100644
index 000000000000..ef6306fadb87
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/docs/dataplex_v1/catalog_service.rst
@@ -0,0 +1,10 @@
+CatalogService
+--------------------------------
+
+.. automodule:: google.cloud.dataplex_v1.services.catalog_service
+    :members:
+    :inherited-members:
+
+.. automodule:: google.cloud.dataplex_v1.services.catalog_service.pagers
+    :members:
+    :inherited-members:
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/docs/dataplex_v1/content_service.rst b/owl-bot-staging/google-cloud-dataplex/v1/docs/dataplex_v1/content_service.rst
new file mode 100644
index 000000000000..ce3774365501
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/docs/dataplex_v1/content_service.rst
@@ -0,0 +1,10 @@
+ContentService
+--------------------------------
+
+.. automodule:: google.cloud.dataplex_v1.services.content_service
+    :members:
+    :inherited-members:
+
+.. automodule:: google.cloud.dataplex_v1.services.content_service.pagers
+    :members:
+    :inherited-members:
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/docs/dataplex_v1/data_scan_service.rst b/owl-bot-staging/google-cloud-dataplex/v1/docs/dataplex_v1/data_scan_service.rst
new file mode 100644
index 000000000000..c9281cda5823
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/docs/dataplex_v1/data_scan_service.rst
@@ -0,0 +1,10 @@
+DataScanService
+---------------------------------
+
+.. automodule:: google.cloud.dataplex_v1.services.data_scan_service
+    :members:
+    :inherited-members:
+
+.. automodule:: google.cloud.dataplex_v1.services.data_scan_service.pagers
+    :members:
+    :inherited-members:
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/docs/dataplex_v1/data_taxonomy_service.rst b/owl-bot-staging/google-cloud-dataplex/v1/docs/dataplex_v1/data_taxonomy_service.rst
new file mode 100644
index 000000000000..b2a185a3c43f
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/docs/dataplex_v1/data_taxonomy_service.rst
@@ -0,0 +1,10 @@
+DataTaxonomyService
+-------------------------------------
+
+.. automodule:: google.cloud.dataplex_v1.services.data_taxonomy_service
+    :members:
+    :inherited-members:
+
+.. automodule:: google.cloud.dataplex_v1.services.data_taxonomy_service.pagers
+    :members:
+    :inherited-members:
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/docs/dataplex_v1/dataplex_service.rst b/owl-bot-staging/google-cloud-dataplex/v1/docs/dataplex_v1/dataplex_service.rst
new file mode 100644
index 000000000000..5ecb20ccef96
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/docs/dataplex_v1/dataplex_service.rst
@@ -0,0 +1,10 @@
+DataplexService
+---------------------------------
+
+.. automodule:: google.cloud.dataplex_v1.services.dataplex_service
+    :members:
+    :inherited-members:
+
+.. automodule:: google.cloud.dataplex_v1.services.dataplex_service.pagers
+    :members:
+    :inherited-members:
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/docs/dataplex_v1/metadata_service.rst b/owl-bot-staging/google-cloud-dataplex/v1/docs/dataplex_v1/metadata_service.rst
new file mode 100644
index 000000000000..d5bf19660ab5
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/docs/dataplex_v1/metadata_service.rst
@@ -0,0 +1,10 @@
+MetadataService
+---------------------------------
+
+.. automodule:: google.cloud.dataplex_v1.services.metadata_service
+    :members:
+    :inherited-members:
+
+.. automodule:: google.cloud.dataplex_v1.services.metadata_service.pagers
+    :members:
+    :inherited-members:
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/docs/dataplex_v1/services_.rst b/owl-bot-staging/google-cloud-dataplex/v1/docs/dataplex_v1/services_.rst
new file mode 100644
index 000000000000..42044fdd76d1
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/docs/dataplex_v1/services_.rst
@@ -0,0 +1,11 @@
+Services for Google Cloud Dataplex v1 API
+=========================================
+.. toctree::
+    :maxdepth: 2
+
+    catalog_service
+    content_service
+    dataplex_service
+    data_scan_service
+    data_taxonomy_service
+    metadata_service
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/docs/dataplex_v1/types_.rst b/owl-bot-staging/google-cloud-dataplex/v1/docs/dataplex_v1/types_.rst
new file mode 100644
index 000000000000..391acd51ef80
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/docs/dataplex_v1/types_.rst
@@ -0,0 +1,6 @@
+Types for Google Cloud Dataplex v1 API
+======================================
+
+.. automodule:: google.cloud.dataplex_v1.types
+    :members:
+    :show-inheritance:
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/docs/index.rst b/owl-bot-staging/google-cloud-dataplex/v1/docs/index.rst
new file mode 100644
index 000000000000..56aeec907611
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/docs/index.rst
@@ -0,0 +1,7 @@
+API Reference
+-------------
+.. toctree::
+    :maxdepth: 2
+
+    dataplex_v1/services_
+    dataplex_v1/types_
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex/__init__.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex/__init__.py
new file mode 100644
index 000000000000..ce1a3bf8386c
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex/__init__.py
@@ -0,0 +1,407 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from google.cloud.dataplex import gapic_version as package_version
+
+__version__ = package_version.__version__
+
+
+from google.cloud.dataplex_v1.services.catalog_service.client import CatalogServiceClient
+from google.cloud.dataplex_v1.services.catalog_service.async_client import CatalogServiceAsyncClient
+from google.cloud.dataplex_v1.services.content_service.client import ContentServiceClient
+from google.cloud.dataplex_v1.services.content_service.async_client import ContentServiceAsyncClient
+from google.cloud.dataplex_v1.services.dataplex_service.client import DataplexServiceClient
+from google.cloud.dataplex_v1.services.dataplex_service.async_client import DataplexServiceAsyncClient
+from google.cloud.dataplex_v1.services.data_scan_service.client import DataScanServiceClient
+from google.cloud.dataplex_v1.services.data_scan_service.async_client import DataScanServiceAsyncClient
+from google.cloud.dataplex_v1.services.data_taxonomy_service.client import DataTaxonomyServiceClient
+from google.cloud.dataplex_v1.services.data_taxonomy_service.async_client import DataTaxonomyServiceAsyncClient
+from google.cloud.dataplex_v1.services.metadata_service.client import MetadataServiceClient
+from google.cloud.dataplex_v1.services.metadata_service.async_client import MetadataServiceAsyncClient
+
+from google.cloud.dataplex_v1.types.analyze import Content
+from google.cloud.dataplex_v1.types.analyze import Environment
+from google.cloud.dataplex_v1.types.analyze import Session
+from google.cloud.dataplex_v1.types.catalog import Aspect
+from google.cloud.dataplex_v1.types.catalog import AspectSource
+from google.cloud.dataplex_v1.types.catalog import AspectType
+from google.cloud.dataplex_v1.types.catalog import CancelMetadataJobRequest
+from google.cloud.dataplex_v1.types.catalog import CreateAspectTypeRequest
+from google.cloud.dataplex_v1.types.catalog import CreateEntryGroupRequest
+from google.cloud.dataplex_v1.types.catalog import CreateEntryRequest
+from google.cloud.dataplex_v1.types.catalog import CreateEntryTypeRequest
+from google.cloud.dataplex_v1.types.catalog import CreateMetadataJobRequest
+from google.cloud.dataplex_v1.types.catalog import DeleteAspectTypeRequest
+from google.cloud.dataplex_v1.types.catalog import DeleteEntryGroupRequest
+from google.cloud.dataplex_v1.types.catalog import DeleteEntryRequest
+from google.cloud.dataplex_v1.types.catalog import DeleteEntryTypeRequest
+from google.cloud.dataplex_v1.types.catalog import Entry
+from google.cloud.dataplex_v1.types.catalog import EntryGroup
+from google.cloud.dataplex_v1.types.catalog import EntrySource
+from google.cloud.dataplex_v1.types.catalog import EntryType
+from google.cloud.dataplex_v1.types.catalog import GetAspectTypeRequest
+from google.cloud.dataplex_v1.types.catalog import GetEntryGroupRequest
+from google.cloud.dataplex_v1.types.catalog import GetEntryRequest
+from google.cloud.dataplex_v1.types.catalog import GetEntryTypeRequest
+from google.cloud.dataplex_v1.types.catalog import GetMetadataJobRequest
+from google.cloud.dataplex_v1.types.catalog import ImportItem
+from google.cloud.dataplex_v1.types.catalog import ListAspectTypesRequest
+from google.cloud.dataplex_v1.types.catalog import ListAspectTypesResponse
+from google.cloud.dataplex_v1.types.catalog import ListEntriesRequest
+from google.cloud.dataplex_v1.types.catalog import ListEntriesResponse
+from google.cloud.dataplex_v1.types.catalog import ListEntryGroupsRequest
+from google.cloud.dataplex_v1.types.catalog import ListEntryGroupsResponse
+from google.cloud.dataplex_v1.types.catalog import ListEntryTypesRequest
+from google.cloud.dataplex_v1.types.catalog import ListEntryTypesResponse
+from google.cloud.dataplex_v1.types.catalog import ListMetadataJobsRequest
+from google.cloud.dataplex_v1.types.catalog import ListMetadataJobsResponse
+from google.cloud.dataplex_v1.types.catalog import LookupEntryRequest
+from google.cloud.dataplex_v1.types.catalog import MetadataJob
+from google.cloud.dataplex_v1.types.catalog import SearchEntriesRequest
+from google.cloud.dataplex_v1.types.catalog import SearchEntriesResponse
+from google.cloud.dataplex_v1.types.catalog import SearchEntriesResult
+from google.cloud.dataplex_v1.types.catalog import UpdateAspectTypeRequest
+from google.cloud.dataplex_v1.types.catalog import UpdateEntryGroupRequest
+from google.cloud.dataplex_v1.types.catalog import UpdateEntryRequest
+from google.cloud.dataplex_v1.types.catalog import UpdateEntryTypeRequest
+from google.cloud.dataplex_v1.types.catalog import EntryView
+from google.cloud.dataplex_v1.types.catalog import TransferStatus
+from google.cloud.dataplex_v1.types.content import CreateContentRequest
+from google.cloud.dataplex_v1.types.content import DeleteContentRequest
+from google.cloud.dataplex_v1.types.content import GetContentRequest
+from google.cloud.dataplex_v1.types.content import ListContentRequest
+from google.cloud.dataplex_v1.types.content import ListContentResponse
+from google.cloud.dataplex_v1.types.content import UpdateContentRequest
+from google.cloud.dataplex_v1.types.data_discovery import DataDiscoveryResult
+from google.cloud.dataplex_v1.types.data_discovery import DataDiscoverySpec
+from google.cloud.dataplex_v1.types.data_profile import DataProfileResult
+from google.cloud.dataplex_v1.types.data_profile import DataProfileSpec
+from google.cloud.dataplex_v1.types.data_quality import DataQualityColumnResult
+from google.cloud.dataplex_v1.types.data_quality import DataQualityDimension
+from google.cloud.dataplex_v1.types.data_quality import DataQualityDimensionResult
+from google.cloud.dataplex_v1.types.data_quality import DataQualityResult
+from google.cloud.dataplex_v1.types.data_quality import DataQualityRule
+from google.cloud.dataplex_v1.types.data_quality import DataQualityRuleResult
+from google.cloud.dataplex_v1.types.data_quality import DataQualitySpec
+from google.cloud.dataplex_v1.types.data_taxonomy import CreateDataAttributeBindingRequest
+from google.cloud.dataplex_v1.types.data_taxonomy import CreateDataAttributeRequest
+from google.cloud.dataplex_v1.types.data_taxonomy import CreateDataTaxonomyRequest
+from google.cloud.dataplex_v1.types.data_taxonomy import DataAttribute
+from google.cloud.dataplex_v1.types.data_taxonomy import DataAttributeBinding
+from google.cloud.dataplex_v1.types.data_taxonomy import DataTaxonomy
+from google.cloud.dataplex_v1.types.data_taxonomy import DeleteDataAttributeBindingRequest
+from google.cloud.dataplex_v1.types.data_taxonomy import DeleteDataAttributeRequest
+from google.cloud.dataplex_v1.types.data_taxonomy import DeleteDataTaxonomyRequest
+from google.cloud.dataplex_v1.types.data_taxonomy import GetDataAttributeBindingRequest
+from google.cloud.dataplex_v1.types.data_taxonomy import GetDataAttributeRequest
+from google.cloud.dataplex_v1.types.data_taxonomy import GetDataTaxonomyRequest
+from google.cloud.dataplex_v1.types.data_taxonomy import ListDataAttributeBindingsRequest
+from google.cloud.dataplex_v1.types.data_taxonomy import ListDataAttributeBindingsResponse
+from google.cloud.dataplex_v1.types.data_taxonomy import ListDataAttributesRequest
+from google.cloud.dataplex_v1.types.data_taxonomy import ListDataAttributesResponse
+from google.cloud.dataplex_v1.types.data_taxonomy import ListDataTaxonomiesRequest
+from google.cloud.dataplex_v1.types.data_taxonomy import ListDataTaxonomiesResponse
+from google.cloud.dataplex_v1.types.data_taxonomy import UpdateDataAttributeBindingRequest
+from google.cloud.dataplex_v1.types.data_taxonomy import UpdateDataAttributeRequest
+from google.cloud.dataplex_v1.types.data_taxonomy import UpdateDataTaxonomyRequest
+from google.cloud.dataplex_v1.types.datascans import CreateDataScanRequest
+from google.cloud.dataplex_v1.types.datascans import DataScan
+from google.cloud.dataplex_v1.types.datascans import DataScanJob
+from google.cloud.dataplex_v1.types.datascans import DeleteDataScanRequest
+from google.cloud.dataplex_v1.types.datascans import GenerateDataQualityRulesRequest
+from google.cloud.dataplex_v1.types.datascans import GenerateDataQualityRulesResponse
+from google.cloud.dataplex_v1.types.datascans import GetDataScanJobRequest
+from google.cloud.dataplex_v1.types.datascans import GetDataScanRequest
+from google.cloud.dataplex_v1.types.datascans import ListDataScanJobsRequest
+from google.cloud.dataplex_v1.types.datascans import ListDataScanJobsResponse
+from google.cloud.dataplex_v1.types.datascans import ListDataScansRequest
+from google.cloud.dataplex_v1.types.datascans import ListDataScansResponse
+from google.cloud.dataplex_v1.types.datascans import RunDataScanRequest
+from google.cloud.dataplex_v1.types.datascans import RunDataScanResponse
+from google.cloud.dataplex_v1.types.datascans import UpdateDataScanRequest
+from google.cloud.dataplex_v1.types.datascans import DataScanType
+from google.cloud.dataplex_v1.types.logs import DataQualityScanRuleResult
+from google.cloud.dataplex_v1.types.logs import DataScanEvent
+from google.cloud.dataplex_v1.types.logs import DiscoveryEvent
+from google.cloud.dataplex_v1.types.logs import GovernanceEvent
+from google.cloud.dataplex_v1.types.logs import JobEvent
+from google.cloud.dataplex_v1.types.logs import SessionEvent
+from google.cloud.dataplex_v1.types.metadata_ import CreateEntityRequest
+from google.cloud.dataplex_v1.types.metadata_ import CreatePartitionRequest
+from google.cloud.dataplex_v1.types.metadata_ import DeleteEntityRequest
+from google.cloud.dataplex_v1.types.metadata_ import DeletePartitionRequest
+from google.cloud.dataplex_v1.types.metadata_ import Entity
+from google.cloud.dataplex_v1.types.metadata_ import GetEntityRequest
+from google.cloud.dataplex_v1.types.metadata_ import GetPartitionRequest
+from google.cloud.dataplex_v1.types.metadata_ import ListEntitiesRequest
+from google.cloud.dataplex_v1.types.metadata_ import ListEntitiesResponse
+from google.cloud.dataplex_v1.types.metadata_ import ListPartitionsRequest
+from google.cloud.dataplex_v1.types.metadata_ import ListPartitionsResponse
+from google.cloud.dataplex_v1.types.metadata_ import Partition
+from google.cloud.dataplex_v1.types.metadata_ import Schema
+from google.cloud.dataplex_v1.types.metadata_ import StorageAccess
+from google.cloud.dataplex_v1.types.metadata_ import StorageFormat
+from google.cloud.dataplex_v1.types.metadata_ import UpdateEntityRequest
+from google.cloud.dataplex_v1.types.metadata_ import StorageSystem
+from google.cloud.dataplex_v1.types.processing import DataSource
+from google.cloud.dataplex_v1.types.processing import ScannedData
+from google.cloud.dataplex_v1.types.processing import Trigger
+from google.cloud.dataplex_v1.types.resources import Action
+from google.cloud.dataplex_v1.types.resources import Asset
+from google.cloud.dataplex_v1.types.resources import AssetStatus
+from google.cloud.dataplex_v1.types.resources import Lake
+from google.cloud.dataplex_v1.types.resources import Zone
+from google.cloud.dataplex_v1.types.resources import State
+from google.cloud.dataplex_v1.types.security import DataAccessSpec
+from google.cloud.dataplex_v1.types.security import ResourceAccessSpec
+from google.cloud.dataplex_v1.types.service import CancelJobRequest
+from google.cloud.dataplex_v1.types.service import CreateAssetRequest
+from google.cloud.dataplex_v1.types.service import CreateEnvironmentRequest
+from google.cloud.dataplex_v1.types.service import CreateLakeRequest
+from google.cloud.dataplex_v1.types.service import CreateTaskRequest
+from google.cloud.dataplex_v1.types.service import CreateZoneRequest
+from google.cloud.dataplex_v1.types.service import DeleteAssetRequest
+from google.cloud.dataplex_v1.types.service import DeleteEnvironmentRequest
+from google.cloud.dataplex_v1.types.service import DeleteLakeRequest
+from google.cloud.dataplex_v1.types.service import DeleteTaskRequest
+from google.cloud.dataplex_v1.types.service import DeleteZoneRequest
+from google.cloud.dataplex_v1.types.service import GetAssetRequest
+from google.cloud.dataplex_v1.types.service import GetEnvironmentRequest
+from google.cloud.dataplex_v1.types.service import GetJobRequest
+from google.cloud.dataplex_v1.types.service import GetLakeRequest
+from google.cloud.dataplex_v1.types.service import GetTaskRequest
+from google.cloud.dataplex_v1.types.service import GetZoneRequest
+from google.cloud.dataplex_v1.types.service import ListActionsResponse
+from google.cloud.dataplex_v1.types.service import ListAssetActionsRequest
+from google.cloud.dataplex_v1.types.service import ListAssetsRequest
+from google.cloud.dataplex_v1.types.service import ListAssetsResponse
+from google.cloud.dataplex_v1.types.service import ListEnvironmentsRequest
+from google.cloud.dataplex_v1.types.service import ListEnvironmentsResponse
+from google.cloud.dataplex_v1.types.service import ListJobsRequest
+from google.cloud.dataplex_v1.types.service import ListJobsResponse
+from google.cloud.dataplex_v1.types.service import ListLakeActionsRequest
+from google.cloud.dataplex_v1.types.service import ListLakesRequest
+from google.cloud.dataplex_v1.types.service import ListLakesResponse
+from google.cloud.dataplex_v1.types.service import ListSessionsRequest
+from google.cloud.dataplex_v1.types.service import ListSessionsResponse
+from google.cloud.dataplex_v1.types.service import ListTasksRequest
+from google.cloud.dataplex_v1.types.service import ListTasksResponse
+from google.cloud.dataplex_v1.types.service import ListZoneActionsRequest
+from google.cloud.dataplex_v1.types.service import ListZonesRequest
+from google.cloud.dataplex_v1.types.service import ListZonesResponse
+from google.cloud.dataplex_v1.types.service import OperationMetadata
+from google.cloud.dataplex_v1.types.service import RunTaskRequest
+from google.cloud.dataplex_v1.types.service import RunTaskResponse
+from google.cloud.dataplex_v1.types.service import UpdateAssetRequest
+from google.cloud.dataplex_v1.types.service import UpdateEnvironmentRequest
+from google.cloud.dataplex_v1.types.service import UpdateLakeRequest
+from google.cloud.dataplex_v1.types.service import UpdateTaskRequest
+from google.cloud.dataplex_v1.types.service import UpdateZoneRequest
+from google.cloud.dataplex_v1.types.tasks import Job
+from google.cloud.dataplex_v1.types.tasks import Task
+
+__all__ = ('CatalogServiceClient',
+    'CatalogServiceAsyncClient',
+    'ContentServiceClient',
+    'ContentServiceAsyncClient',
+    'DataplexServiceClient',
+    'DataplexServiceAsyncClient',
+    'DataScanServiceClient',
+    'DataScanServiceAsyncClient',
+    'DataTaxonomyServiceClient',
+    'DataTaxonomyServiceAsyncClient',
+    'MetadataServiceClient',
+    'MetadataServiceAsyncClient',
+    'Content',
+    'Environment',
+    'Session',
+    'Aspect',
+    'AspectSource',
+    'AspectType',
+    'CancelMetadataJobRequest',
+    'CreateAspectTypeRequest',
+    'CreateEntryGroupRequest',
+    'CreateEntryRequest',
+    'CreateEntryTypeRequest',
+    'CreateMetadataJobRequest',
+    'DeleteAspectTypeRequest',
+    'DeleteEntryGroupRequest',
+    'DeleteEntryRequest',
+    'DeleteEntryTypeRequest',
+    'Entry',
+    'EntryGroup',
+    'EntrySource',
+    'EntryType',
+    'GetAspectTypeRequest',
+    'GetEntryGroupRequest',
+    'GetEntryRequest',
+    'GetEntryTypeRequest',
+    'GetMetadataJobRequest',
+    'ImportItem',
+    'ListAspectTypesRequest',
+    'ListAspectTypesResponse',
+    'ListEntriesRequest',
+    'ListEntriesResponse',
+    'ListEntryGroupsRequest',
+    'ListEntryGroupsResponse',
+    'ListEntryTypesRequest',
+    'ListEntryTypesResponse',
+    'ListMetadataJobsRequest',
+    'ListMetadataJobsResponse',
+    'LookupEntryRequest',
+    'MetadataJob',
+    'SearchEntriesRequest',
+    'SearchEntriesResponse',
+    'SearchEntriesResult',
+    'UpdateAspectTypeRequest',
+    'UpdateEntryGroupRequest',
+    'UpdateEntryRequest',
+    'UpdateEntryTypeRequest',
+    'EntryView',
+    'TransferStatus',
+    'CreateContentRequest',
+    'DeleteContentRequest',
+    'GetContentRequest',
+    'ListContentRequest',
+    'ListContentResponse',
+    'UpdateContentRequest',
+    'DataDiscoveryResult',
+    'DataDiscoverySpec',
+    'DataProfileResult',
+    'DataProfileSpec',
+    'DataQualityColumnResult',
+    'DataQualityDimension',
+    'DataQualityDimensionResult',
+    'DataQualityResult',
+    'DataQualityRule',
+    'DataQualityRuleResult',
+    'DataQualitySpec',
+    'CreateDataAttributeBindingRequest',
+    'CreateDataAttributeRequest',
+    'CreateDataTaxonomyRequest',
+    'DataAttribute',
+    'DataAttributeBinding',
+    'DataTaxonomy',
+    'DeleteDataAttributeBindingRequest',
+    'DeleteDataAttributeRequest',
+    'DeleteDataTaxonomyRequest',
+    'GetDataAttributeBindingRequest',
+    'GetDataAttributeRequest',
+    'GetDataTaxonomyRequest',
+    'ListDataAttributeBindingsRequest',
+    'ListDataAttributeBindingsResponse',
+    'ListDataAttributesRequest',
+    'ListDataAttributesResponse',
+    'ListDataTaxonomiesRequest',
+    'ListDataTaxonomiesResponse',
+    'UpdateDataAttributeBindingRequest',
+    'UpdateDataAttributeRequest',
+    'UpdateDataTaxonomyRequest',
+    'CreateDataScanRequest',
+    'DataScan',
+    'DataScanJob',
+    'DeleteDataScanRequest',
+    'GenerateDataQualityRulesRequest',
+    'GenerateDataQualityRulesResponse',
+    'GetDataScanJobRequest',
+    'GetDataScanRequest',
+    'ListDataScanJobsRequest',
+    'ListDataScanJobsResponse',
+    'ListDataScansRequest',
+    'ListDataScansResponse',
+    'RunDataScanRequest',
+    'RunDataScanResponse',
+    'UpdateDataScanRequest',
+    'DataScanType',
+    'DataQualityScanRuleResult',
+    'DataScanEvent',
+    'DiscoveryEvent',
+    'GovernanceEvent',
+    'JobEvent',
+    'SessionEvent',
+    'CreateEntityRequest',
+    'CreatePartitionRequest',
+    'DeleteEntityRequest',
+    'DeletePartitionRequest',
+    'Entity',
+    'GetEntityRequest',
+    'GetPartitionRequest',
+    'ListEntitiesRequest',
+    'ListEntitiesResponse',
+    'ListPartitionsRequest',
+    'ListPartitionsResponse',
+    'Partition',
+    'Schema',
+    'StorageAccess',
+    'StorageFormat',
+    'UpdateEntityRequest',
+    'StorageSystem',
+    'DataSource',
+    'ScannedData',
+    'Trigger',
+    'Action',
+    'Asset',
+    'AssetStatus',
+    'Lake',
+    'Zone',
+    'State',
+    'DataAccessSpec',
+    'ResourceAccessSpec',
+    'CancelJobRequest',
+    'CreateAssetRequest',
+    'CreateEnvironmentRequest',
+    'CreateLakeRequest',
+    'CreateTaskRequest',
+    'CreateZoneRequest',
+    'DeleteAssetRequest',
+    'DeleteEnvironmentRequest',
+    'DeleteLakeRequest',
+    'DeleteTaskRequest',
+    'DeleteZoneRequest',
+    'GetAssetRequest',
+    'GetEnvironmentRequest',
+    'GetJobRequest',
+    'GetLakeRequest',
+    'GetTaskRequest',
+    'GetZoneRequest',
+    'ListActionsResponse',
+    'ListAssetActionsRequest',
+    'ListAssetsRequest',
+    'ListAssetsResponse',
+    'ListEnvironmentsRequest',
+    'ListEnvironmentsResponse',
+    'ListJobsRequest',
+    'ListJobsResponse',
+    'ListLakeActionsRequest',
+    'ListLakesRequest',
+    'ListLakesResponse',
+    'ListSessionsRequest',
+    'ListSessionsResponse',
+    'ListTasksRequest',
+    'ListTasksResponse',
+    'ListZoneActionsRequest',
+    'ListZonesRequest',
+    'ListZonesResponse',
+    'OperationMetadata',
+    'RunTaskRequest',
+    'RunTaskResponse',
+    'UpdateAssetRequest',
+    'UpdateEnvironmentRequest',
+    'UpdateLakeRequest',
+    'UpdateTaskRequest',
+    'UpdateZoneRequest',
+    'Job',
+    'Task',
+)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex/gapic_version.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex/gapic_version.py
new file mode 100644
index 000000000000..558c8aab67c5
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex/gapic_version.py
@@ -0,0 +1,16 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+__version__ = "0.0.0"  # {x-release-please-version}
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex/py.typed b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex/py.typed
new file mode 100644
index 000000000000..c932c263028e
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex/py.typed
@@ -0,0 +1,2 @@
+# Marker file for PEP 561.
+# The google-cloud-dataplex package uses inline types.
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/__init__.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/__init__.py
new file mode 100644
index 000000000000..7fd5f0814f43
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/__init__.py
@@ -0,0 +1,408 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from google.cloud.dataplex_v1 import gapic_version as package_version
+
+__version__ = package_version.__version__
+
+
+from .services.catalog_service import CatalogServiceClient
+from .services.catalog_service import CatalogServiceAsyncClient
+from .services.content_service import ContentServiceClient
+from .services.content_service import ContentServiceAsyncClient
+from .services.dataplex_service import DataplexServiceClient
+from .services.dataplex_service import DataplexServiceAsyncClient
+from .services.data_scan_service import DataScanServiceClient
+from .services.data_scan_service import DataScanServiceAsyncClient
+from .services.data_taxonomy_service import DataTaxonomyServiceClient
+from .services.data_taxonomy_service import DataTaxonomyServiceAsyncClient
+from .services.metadata_service import MetadataServiceClient
+from .services.metadata_service import MetadataServiceAsyncClient
+
+from .types.analyze import Content
+from .types.analyze import Environment
+from .types.analyze import Session
+from .types.catalog import Aspect
+from .types.catalog import AspectSource
+from .types.catalog import AspectType
+from .types.catalog import CancelMetadataJobRequest
+from .types.catalog import CreateAspectTypeRequest
+from .types.catalog import CreateEntryGroupRequest
+from .types.catalog import CreateEntryRequest
+from .types.catalog import CreateEntryTypeRequest
+from .types.catalog import CreateMetadataJobRequest
+from .types.catalog import DeleteAspectTypeRequest
+from .types.catalog import DeleteEntryGroupRequest
+from .types.catalog import DeleteEntryRequest
+from .types.catalog import DeleteEntryTypeRequest
+from .types.catalog import Entry
+from .types.catalog import EntryGroup
+from .types.catalog import EntrySource
+from .types.catalog import EntryType
+from .types.catalog import GetAspectTypeRequest
+from .types.catalog import GetEntryGroupRequest
+from .types.catalog import GetEntryRequest
+from .types.catalog import GetEntryTypeRequest
+from .types.catalog import GetMetadataJobRequest
+from .types.catalog import ImportItem
+from .types.catalog import ListAspectTypesRequest
+from .types.catalog import ListAspectTypesResponse
+from .types.catalog import ListEntriesRequest
+from .types.catalog import ListEntriesResponse
+from .types.catalog import ListEntryGroupsRequest
+from .types.catalog import ListEntryGroupsResponse
+from .types.catalog import ListEntryTypesRequest
+from .types.catalog import ListEntryTypesResponse
+from .types.catalog import ListMetadataJobsRequest
+from .types.catalog import ListMetadataJobsResponse
+from .types.catalog import LookupEntryRequest
+from .types.catalog import MetadataJob
+from .types.catalog import SearchEntriesRequest
+from .types.catalog import SearchEntriesResponse
+from .types.catalog import SearchEntriesResult
+from .types.catalog import UpdateAspectTypeRequest
+from .types.catalog import UpdateEntryGroupRequest
+from .types.catalog import UpdateEntryRequest
+from .types.catalog import UpdateEntryTypeRequest
+from .types.catalog import EntryView
+from .types.catalog import TransferStatus
+from .types.content import CreateContentRequest
+from .types.content import DeleteContentRequest
+from .types.content import GetContentRequest
+from .types.content import ListContentRequest
+from .types.content import ListContentResponse
+from .types.content import UpdateContentRequest
+from .types.data_discovery import DataDiscoveryResult
+from .types.data_discovery import DataDiscoverySpec
+from .types.data_profile import DataProfileResult
+from .types.data_profile import DataProfileSpec
+from .types.data_quality import DataQualityColumnResult
+from .types.data_quality import DataQualityDimension
+from .types.data_quality import DataQualityDimensionResult
+from .types.data_quality import DataQualityResult
+from .types.data_quality import DataQualityRule
+from .types.data_quality import DataQualityRuleResult
+from .types.data_quality import DataQualitySpec
+from .types.data_taxonomy import CreateDataAttributeBindingRequest
+from .types.data_taxonomy import CreateDataAttributeRequest
+from .types.data_taxonomy import CreateDataTaxonomyRequest
+from .types.data_taxonomy import DataAttribute
+from .types.data_taxonomy import DataAttributeBinding
+from .types.data_taxonomy import DataTaxonomy
+from .types.data_taxonomy import DeleteDataAttributeBindingRequest
+from .types.data_taxonomy import DeleteDataAttributeRequest
+from .types.data_taxonomy import DeleteDataTaxonomyRequest
+from .types.data_taxonomy import GetDataAttributeBindingRequest
+from .types.data_taxonomy import GetDataAttributeRequest
+from .types.data_taxonomy import GetDataTaxonomyRequest
+from .types.data_taxonomy import ListDataAttributeBindingsRequest
+from .types.data_taxonomy import ListDataAttributeBindingsResponse
+from .types.data_taxonomy import ListDataAttributesRequest
+from .types.data_taxonomy import ListDataAttributesResponse
+from .types.data_taxonomy import ListDataTaxonomiesRequest
+from .types.data_taxonomy import ListDataTaxonomiesResponse
+from .types.data_taxonomy import UpdateDataAttributeBindingRequest
+from .types.data_taxonomy import UpdateDataAttributeRequest
+from .types.data_taxonomy import UpdateDataTaxonomyRequest
+from .types.datascans import CreateDataScanRequest
+from .types.datascans import DataScan
+from .types.datascans import DataScanJob
+from .types.datascans import DeleteDataScanRequest
+from .types.datascans import GenerateDataQualityRulesRequest
+from .types.datascans import GenerateDataQualityRulesResponse
+from .types.datascans import GetDataScanJobRequest
+from .types.datascans import GetDataScanRequest
+from .types.datascans import ListDataScanJobsRequest
+from .types.datascans import ListDataScanJobsResponse
+from .types.datascans import ListDataScansRequest
+from .types.datascans import ListDataScansResponse
+from .types.datascans import RunDataScanRequest
+from .types.datascans import RunDataScanResponse
+from .types.datascans import UpdateDataScanRequest
+from .types.datascans import DataScanType
+from .types.logs import DataQualityScanRuleResult
+from .types.logs import DataScanEvent
+from .types.logs import DiscoveryEvent
+from .types.logs import GovernanceEvent
+from .types.logs import JobEvent
+from .types.logs import SessionEvent
+from .types.metadata_ import CreateEntityRequest
+from .types.metadata_ import CreatePartitionRequest
+from .types.metadata_ import DeleteEntityRequest
+from .types.metadata_ import DeletePartitionRequest
+from .types.metadata_ import Entity
+from .types.metadata_ import GetEntityRequest
+from .types.metadata_ import GetPartitionRequest
+from .types.metadata_ import ListEntitiesRequest
+from .types.metadata_ import ListEntitiesResponse
+from .types.metadata_ import ListPartitionsRequest
+from .types.metadata_ import ListPartitionsResponse
+from .types.metadata_ import Partition
+from .types.metadata_ import Schema
+from .types.metadata_ import StorageAccess
+from .types.metadata_ import StorageFormat
+from .types.metadata_ import UpdateEntityRequest
+from .types.metadata_ import StorageSystem
+from .types.processing import DataSource
+from .types.processing import ScannedData
+from .types.processing import Trigger
+from .types.resources import Action
+from .types.resources import Asset
+from .types.resources import AssetStatus
+from .types.resources import Lake
+from .types.resources import Zone
+from .types.resources import State
+from .types.security import DataAccessSpec
+from .types.security import ResourceAccessSpec
+from .types.service import CancelJobRequest
+from .types.service import CreateAssetRequest
+from .types.service import CreateEnvironmentRequest
+from .types.service import CreateLakeRequest
+from .types.service import CreateTaskRequest
+from .types.service import CreateZoneRequest
+from .types.service import DeleteAssetRequest
+from .types.service import DeleteEnvironmentRequest
+from .types.service import DeleteLakeRequest
+from .types.service import DeleteTaskRequest
+from .types.service import DeleteZoneRequest
+from .types.service import GetAssetRequest
+from .types.service import GetEnvironmentRequest
+from .types.service import GetJobRequest
+from .types.service import GetLakeRequest
+from .types.service import GetTaskRequest
+from .types.service import GetZoneRequest
+from .types.service import ListActionsResponse
+from .types.service import ListAssetActionsRequest
+from .types.service import ListAssetsRequest
+from .types.service import ListAssetsResponse
+from .types.service import ListEnvironmentsRequest
+from .types.service import ListEnvironmentsResponse
+from .types.service import ListJobsRequest
+from .types.service import ListJobsResponse
+from .types.service import ListLakeActionsRequest
+from .types.service import ListLakesRequest
+from .types.service import ListLakesResponse
+from .types.service import ListSessionsRequest
+from .types.service import ListSessionsResponse
+from .types.service import ListTasksRequest
+from .types.service import ListTasksResponse
+from .types.service import ListZoneActionsRequest
+from .types.service import ListZonesRequest
+from .types.service import ListZonesResponse
+from .types.service import OperationMetadata
+from .types.service import RunTaskRequest
+from .types.service import RunTaskResponse
+from .types.service import UpdateAssetRequest
+from .types.service import UpdateEnvironmentRequest
+from .types.service import UpdateLakeRequest
+from .types.service import UpdateTaskRequest
+from .types.service import UpdateZoneRequest
+from .types.tasks import Job
+from .types.tasks import Task
+
+__all__ = (
+    'CatalogServiceAsyncClient',
+    'ContentServiceAsyncClient',
+    'DataScanServiceAsyncClient',
+    'DataTaxonomyServiceAsyncClient',
+    'DataplexServiceAsyncClient',
+    'MetadataServiceAsyncClient',
+'Action',
+'Aspect',
+'AspectSource',
+'AspectType',
+'Asset',
+'AssetStatus',
+'CancelJobRequest',
+'CancelMetadataJobRequest',
+'CatalogServiceClient',
+'Content',
+'ContentServiceClient',
+'CreateAspectTypeRequest',
+'CreateAssetRequest',
+'CreateContentRequest',
+'CreateDataAttributeBindingRequest',
+'CreateDataAttributeRequest',
+'CreateDataScanRequest',
+'CreateDataTaxonomyRequest',
+'CreateEntityRequest',
+'CreateEntryGroupRequest',
+'CreateEntryRequest',
+'CreateEntryTypeRequest',
+'CreateEnvironmentRequest',
+'CreateLakeRequest',
+'CreateMetadataJobRequest',
+'CreatePartitionRequest',
+'CreateTaskRequest',
+'CreateZoneRequest',
+'DataAccessSpec',
+'DataAttribute',
+'DataAttributeBinding',
+'DataDiscoveryResult',
+'DataDiscoverySpec',
+'DataProfileResult',
+'DataProfileSpec',
+'DataQualityColumnResult',
+'DataQualityDimension',
+'DataQualityDimensionResult',
+'DataQualityResult',
+'DataQualityRule',
+'DataQualityRuleResult',
+'DataQualityScanRuleResult',
+'DataQualitySpec',
+'DataScan',
+'DataScanEvent',
+'DataScanJob',
+'DataScanServiceClient',
+'DataScanType',
+'DataSource',
+'DataTaxonomy',
+'DataTaxonomyServiceClient',
+'DataplexServiceClient',
+'DeleteAspectTypeRequest',
+'DeleteAssetRequest',
+'DeleteContentRequest',
+'DeleteDataAttributeBindingRequest',
+'DeleteDataAttributeRequest',
+'DeleteDataScanRequest',
+'DeleteDataTaxonomyRequest',
+'DeleteEntityRequest',
+'DeleteEntryGroupRequest',
+'DeleteEntryRequest',
+'DeleteEntryTypeRequest',
+'DeleteEnvironmentRequest',
+'DeleteLakeRequest',
+'DeletePartitionRequest',
+'DeleteTaskRequest',
+'DeleteZoneRequest',
+'DiscoveryEvent',
+'Entity',
+'Entry',
+'EntryGroup',
+'EntrySource',
+'EntryType',
+'EntryView',
+'Environment',
+'GenerateDataQualityRulesRequest',
+'GenerateDataQualityRulesResponse',
+'GetAspectTypeRequest',
+'GetAssetRequest',
+'GetContentRequest',
+'GetDataAttributeBindingRequest',
+'GetDataAttributeRequest',
+'GetDataScanJobRequest',
+'GetDataScanRequest',
+'GetDataTaxonomyRequest',
+'GetEntityRequest',
+'GetEntryGroupRequest',
+'GetEntryRequest',
+'GetEntryTypeRequest',
+'GetEnvironmentRequest',
+'GetJobRequest',
+'GetLakeRequest',
+'GetMetadataJobRequest',
+'GetPartitionRequest',
+'GetTaskRequest',
+'GetZoneRequest',
+'GovernanceEvent',
+'ImportItem',
+'Job',
+'JobEvent',
+'Lake',
+'ListActionsResponse',
+'ListAspectTypesRequest',
+'ListAspectTypesResponse',
+'ListAssetActionsRequest',
+'ListAssetsRequest',
+'ListAssetsResponse',
+'ListContentRequest',
+'ListContentResponse',
+'ListDataAttributeBindingsRequest',
+'ListDataAttributeBindingsResponse',
+'ListDataAttributesRequest',
+'ListDataAttributesResponse',
+'ListDataScanJobsRequest',
+'ListDataScanJobsResponse',
+'ListDataScansRequest',
+'ListDataScansResponse',
+'ListDataTaxonomiesRequest',
+'ListDataTaxonomiesResponse',
+'ListEntitiesRequest',
+'ListEntitiesResponse',
+'ListEntriesRequest',
+'ListEntriesResponse',
+'ListEntryGroupsRequest',
+'ListEntryGroupsResponse',
+'ListEntryTypesRequest',
+'ListEntryTypesResponse',
+'ListEnvironmentsRequest',
+'ListEnvironmentsResponse',
+'ListJobsRequest',
+'ListJobsResponse',
+'ListLakeActionsRequest',
+'ListLakesRequest',
+'ListLakesResponse',
+'ListMetadataJobsRequest',
+'ListMetadataJobsResponse',
+'ListPartitionsRequest',
+'ListPartitionsResponse',
+'ListSessionsRequest',
+'ListSessionsResponse',
+'ListTasksRequest',
+'ListTasksResponse',
+'ListZoneActionsRequest',
+'ListZonesRequest',
+'ListZonesResponse',
+'LookupEntryRequest',
+'MetadataJob',
+'MetadataServiceClient',
+'OperationMetadata',
+'Partition',
+'ResourceAccessSpec',
+'RunDataScanRequest',
+'RunDataScanResponse',
+'RunTaskRequest',
+'RunTaskResponse',
+'ScannedData',
+'Schema',
+'SearchEntriesRequest',
+'SearchEntriesResponse',
+'SearchEntriesResult',
+'Session',
+'SessionEvent',
+'State',
+'StorageAccess',
+'StorageFormat',
+'StorageSystem',
+'Task',
+'TransferStatus',
+'Trigger',
+'UpdateAspectTypeRequest',
+'UpdateAssetRequest',
+'UpdateContentRequest',
+'UpdateDataAttributeBindingRequest',
+'UpdateDataAttributeRequest',
+'UpdateDataScanRequest',
+'UpdateDataTaxonomyRequest',
+'UpdateEntityRequest',
+'UpdateEntryGroupRequest',
+'UpdateEntryRequest',
+'UpdateEntryTypeRequest',
+'UpdateEnvironmentRequest',
+'UpdateLakeRequest',
+'UpdateTaskRequest',
+'UpdateZoneRequest',
+'Zone',
+)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/gapic_metadata.json b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/gapic_metadata.json
new file mode 100644
index 000000000000..9fb1150241c8
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/gapic_metadata.json
@@ -0,0 +1,1093 @@
+ {
+  "comment": "This file maps proto services/RPCs to the corresponding library clients/methods",
+  "language": "python",
+  "libraryPackage": "google.cloud.dataplex_v1",
+  "protoPackage": "google.cloud.dataplex.v1",
+  "schema": "1.0",
+  "services": {
+    "CatalogService": {
+      "clients": {
+        "grpc": {
+          "libraryClient": "CatalogServiceClient",
+          "rpcs": {
+            "CancelMetadataJob": {
+              "methods": [
+                "cancel_metadata_job"
+              ]
+            },
+            "CreateAspectType": {
+              "methods": [
+                "create_aspect_type"
+              ]
+            },
+            "CreateEntry": {
+              "methods": [
+                "create_entry"
+              ]
+            },
+            "CreateEntryGroup": {
+              "methods": [
+                "create_entry_group"
+              ]
+            },
+            "CreateEntryType": {
+              "methods": [
+                "create_entry_type"
+              ]
+            },
+            "CreateMetadataJob": {
+              "methods": [
+                "create_metadata_job"
+              ]
+            },
+            "DeleteAspectType": {
+              "methods": [
+                "delete_aspect_type"
+              ]
+            },
+            "DeleteEntry": {
+              "methods": [
+                "delete_entry"
+              ]
+            },
+            "DeleteEntryGroup": {
+              "methods": [
+                "delete_entry_group"
+              ]
+            },
+            "DeleteEntryType": {
+              "methods": [
+                "delete_entry_type"
+              ]
+            },
+            "GetAspectType": {
+              "methods": [
+                "get_aspect_type"
+              ]
+            },
+            "GetEntry": {
+              "methods": [
+                "get_entry"
+              ]
+            },
+            "GetEntryGroup": {
+              "methods": [
+                "get_entry_group"
+              ]
+            },
+            "GetEntryType": {
+              "methods": [
+                "get_entry_type"
+              ]
+            },
+            "GetMetadataJob": {
+              "methods": [
+                "get_metadata_job"
+              ]
+            },
+            "ListAspectTypes": {
+              "methods": [
+                "list_aspect_types"
+              ]
+            },
+            "ListEntries": {
+              "methods": [
+                "list_entries"
+              ]
+            },
+            "ListEntryGroups": {
+              "methods": [
+                "list_entry_groups"
+              ]
+            },
+            "ListEntryTypes": {
+              "methods": [
+                "list_entry_types"
+              ]
+            },
+            "ListMetadataJobs": {
+              "methods": [
+                "list_metadata_jobs"
+              ]
+            },
+            "LookupEntry": {
+              "methods": [
+                "lookup_entry"
+              ]
+            },
+            "SearchEntries": {
+              "methods": [
+                "search_entries"
+              ]
+            },
+            "UpdateAspectType": {
+              "methods": [
+                "update_aspect_type"
+              ]
+            },
+            "UpdateEntry": {
+              "methods": [
+                "update_entry"
+              ]
+            },
+            "UpdateEntryGroup": {
+              "methods": [
+                "update_entry_group"
+              ]
+            },
+            "UpdateEntryType": {
+              "methods": [
+                "update_entry_type"
+              ]
+            }
+          }
+        },
+        "grpc-async": {
+          "libraryClient": "CatalogServiceAsyncClient",
+          "rpcs": {
+            "CancelMetadataJob": {
+              "methods": [
+                "cancel_metadata_job"
+              ]
+            },
+            "CreateAspectType": {
+              "methods": [
+                "create_aspect_type"
+              ]
+            },
+            "CreateEntry": {
+              "methods": [
+                "create_entry"
+              ]
+            },
+            "CreateEntryGroup": {
+              "methods": [
+                "create_entry_group"
+              ]
+            },
+            "CreateEntryType": {
+              "methods": [
+                "create_entry_type"
+              ]
+            },
+            "CreateMetadataJob": {
+              "methods": [
+                "create_metadata_job"
+              ]
+            },
+            "DeleteAspectType": {
+              "methods": [
+                "delete_aspect_type"
+              ]
+            },
+            "DeleteEntry": {
+              "methods": [
+                "delete_entry"
+              ]
+            },
+            "DeleteEntryGroup": {
+              "methods": [
+                "delete_entry_group"
+              ]
+            },
+            "DeleteEntryType": {
+              "methods": [
+                "delete_entry_type"
+              ]
+            },
+            "GetAspectType": {
+              "methods": [
+                "get_aspect_type"
+              ]
+            },
+            "GetEntry": {
+              "methods": [
+                "get_entry"
+              ]
+            },
+            "GetEntryGroup": {
+              "methods": [
+                "get_entry_group"
+              ]
+            },
+            "GetEntryType": {
+              "methods": [
+                "get_entry_type"
+              ]
+            },
+            "GetMetadataJob": {
+              "methods": [
+                "get_metadata_job"
+              ]
+            },
+            "ListAspectTypes": {
+              "methods": [
+                "list_aspect_types"
+              ]
+            },
+            "ListEntries": {
+              "methods": [
+                "list_entries"
+              ]
+            },
+            "ListEntryGroups": {
+              "methods": [
+                "list_entry_groups"
+              ]
+            },
+            "ListEntryTypes": {
+              "methods": [
+                "list_entry_types"
+              ]
+            },
+            "ListMetadataJobs": {
+              "methods": [
+                "list_metadata_jobs"
+              ]
+            },
+            "LookupEntry": {
+              "methods": [
+                "lookup_entry"
+              ]
+            },
+            "SearchEntries": {
+              "methods": [
+                "search_entries"
+              ]
+            },
+            "UpdateAspectType": {
+              "methods": [
+                "update_aspect_type"
+              ]
+            },
+            "UpdateEntry": {
+              "methods": [
+                "update_entry"
+              ]
+            },
+            "UpdateEntryGroup": {
+              "methods": [
+                "update_entry_group"
+              ]
+            },
+            "UpdateEntryType": {
+              "methods": [
+                "update_entry_type"
+              ]
+            }
+          }
+        }
+      }
+    },
+    "ContentService": {
+      "clients": {
+        "grpc": {
+          "libraryClient": "ContentServiceClient",
+          "rpcs": {
+            "CreateContent": {
+              "methods": [
+                "create_content"
+              ]
+            },
+            "DeleteContent": {
+              "methods": [
+                "delete_content"
+              ]
+            },
+            "GetContent": {
+              "methods": [
+                "get_content"
+              ]
+            },
+            "GetIamPolicy": {
+              "methods": [
+                "get_iam_policy"
+              ]
+            },
+            "ListContent": {
+              "methods": [
+                "list_content"
+              ]
+            },
+            "SetIamPolicy": {
+              "methods": [
+                "set_iam_policy"
+              ]
+            },
+            "TestIamPermissions": {
+              "methods": [
+                "test_iam_permissions"
+              ]
+            },
+            "UpdateContent": {
+              "methods": [
+                "update_content"
+              ]
+            }
+          }
+        },
+        "grpc-async": {
+          "libraryClient": "ContentServiceAsyncClient",
+          "rpcs": {
+            "CreateContent": {
+              "methods": [
+                "create_content"
+              ]
+            },
+            "DeleteContent": {
+              "methods": [
+                "delete_content"
+              ]
+            },
+            "GetContent": {
+              "methods": [
+                "get_content"
+              ]
+            },
+            "GetIamPolicy": {
+              "methods": [
+                "get_iam_policy"
+              ]
+            },
+            "ListContent": {
+              "methods": [
+                "list_content"
+              ]
+            },
+            "SetIamPolicy": {
+              "methods": [
+                "set_iam_policy"
+              ]
+            },
+            "TestIamPermissions": {
+              "methods": [
+                "test_iam_permissions"
+              ]
+            },
+            "UpdateContent": {
+              "methods": [
+                "update_content"
+              ]
+            }
+          }
+        }
+      }
+    },
+    "DataScanService": {
+      "clients": {
+        "grpc": {
+          "libraryClient": "DataScanServiceClient",
+          "rpcs": {
+            "CreateDataScan": {
+              "methods": [
+                "create_data_scan"
+              ]
+            },
+            "DeleteDataScan": {
+              "methods": [
+                "delete_data_scan"
+              ]
+            },
+            "GenerateDataQualityRules": {
+              "methods": [
+                "generate_data_quality_rules"
+              ]
+            },
+            "GetDataScan": {
+              "methods": [
+                "get_data_scan"
+              ]
+            },
+            "GetDataScanJob": {
+              "methods": [
+                "get_data_scan_job"
+              ]
+            },
+            "ListDataScanJobs": {
+              "methods": [
+                "list_data_scan_jobs"
+              ]
+            },
+            "ListDataScans": {
+              "methods": [
+                "list_data_scans"
+              ]
+            },
+            "RunDataScan": {
+              "methods": [
+                "run_data_scan"
+              ]
+            },
+            "UpdateDataScan": {
+              "methods": [
+                "update_data_scan"
+              ]
+            }
+          }
+        },
+        "grpc-async": {
+          "libraryClient": "DataScanServiceAsyncClient",
+          "rpcs": {
+            "CreateDataScan": {
+              "methods": [
+                "create_data_scan"
+              ]
+            },
+            "DeleteDataScan": {
+              "methods": [
+                "delete_data_scan"
+              ]
+            },
+            "GenerateDataQualityRules": {
+              "methods": [
+                "generate_data_quality_rules"
+              ]
+            },
+            "GetDataScan": {
+              "methods": [
+                "get_data_scan"
+              ]
+            },
+            "GetDataScanJob": {
+              "methods": [
+                "get_data_scan_job"
+              ]
+            },
+            "ListDataScanJobs": {
+              "methods": [
+                "list_data_scan_jobs"
+              ]
+            },
+            "ListDataScans": {
+              "methods": [
+                "list_data_scans"
+              ]
+            },
+            "RunDataScan": {
+              "methods": [
+                "run_data_scan"
+              ]
+            },
+            "UpdateDataScan": {
+              "methods": [
+                "update_data_scan"
+              ]
+            }
+          }
+        }
+      }
+    },
+    "DataTaxonomyService": {
+      "clients": {
+        "grpc": {
+          "libraryClient": "DataTaxonomyServiceClient",
+          "rpcs": {
+            "CreateDataAttribute": {
+              "methods": [
+                "create_data_attribute"
+              ]
+            },
+            "CreateDataAttributeBinding": {
+              "methods": [
+                "create_data_attribute_binding"
+              ]
+            },
+            "CreateDataTaxonomy": {
+              "methods": [
+                "create_data_taxonomy"
+              ]
+            },
+            "DeleteDataAttribute": {
+              "methods": [
+                "delete_data_attribute"
+              ]
+            },
+            "DeleteDataAttributeBinding": {
+              "methods": [
+                "delete_data_attribute_binding"
+              ]
+            },
+            "DeleteDataTaxonomy": {
+              "methods": [
+                "delete_data_taxonomy"
+              ]
+            },
+            "GetDataAttribute": {
+              "methods": [
+                "get_data_attribute"
+              ]
+            },
+            "GetDataAttributeBinding": {
+              "methods": [
+                "get_data_attribute_binding"
+              ]
+            },
+            "GetDataTaxonomy": {
+              "methods": [
+                "get_data_taxonomy"
+              ]
+            },
+            "ListDataAttributeBindings": {
+              "methods": [
+                "list_data_attribute_bindings"
+              ]
+            },
+            "ListDataAttributes": {
+              "methods": [
+                "list_data_attributes"
+              ]
+            },
+            "ListDataTaxonomies": {
+              "methods": [
+                "list_data_taxonomies"
+              ]
+            },
+            "UpdateDataAttribute": {
+              "methods": [
+                "update_data_attribute"
+              ]
+            },
+            "UpdateDataAttributeBinding": {
+              "methods": [
+                "update_data_attribute_binding"
+              ]
+            },
+            "UpdateDataTaxonomy": {
+              "methods": [
+                "update_data_taxonomy"
+              ]
+            }
+          }
+        },
+        "grpc-async": {
+          "libraryClient": "DataTaxonomyServiceAsyncClient",
+          "rpcs": {
+            "CreateDataAttribute": {
+              "methods": [
+                "create_data_attribute"
+              ]
+            },
+            "CreateDataAttributeBinding": {
+              "methods": [
+                "create_data_attribute_binding"
+              ]
+            },
+            "CreateDataTaxonomy": {
+              "methods": [
+                "create_data_taxonomy"
+              ]
+            },
+            "DeleteDataAttribute": {
+              "methods": [
+                "delete_data_attribute"
+              ]
+            },
+            "DeleteDataAttributeBinding": {
+              "methods": [
+                "delete_data_attribute_binding"
+              ]
+            },
+            "DeleteDataTaxonomy": {
+              "methods": [
+                "delete_data_taxonomy"
+              ]
+            },
+            "GetDataAttribute": {
+              "methods": [
+                "get_data_attribute"
+              ]
+            },
+            "GetDataAttributeBinding": {
+              "methods": [
+                "get_data_attribute_binding"
+              ]
+            },
+            "GetDataTaxonomy": {
+              "methods": [
+                "get_data_taxonomy"
+              ]
+            },
+            "ListDataAttributeBindings": {
+              "methods": [
+                "list_data_attribute_bindings"
+              ]
+            },
+            "ListDataAttributes": {
+              "methods": [
+                "list_data_attributes"
+              ]
+            },
+            "ListDataTaxonomies": {
+              "methods": [
+                "list_data_taxonomies"
+              ]
+            },
+            "UpdateDataAttribute": {
+              "methods": [
+                "update_data_attribute"
+              ]
+            },
+            "UpdateDataAttributeBinding": {
+              "methods": [
+                "update_data_attribute_binding"
+              ]
+            },
+            "UpdateDataTaxonomy": {
+              "methods": [
+                "update_data_taxonomy"
+              ]
+            }
+          }
+        }
+      }
+    },
+    "DataplexService": {
+      "clients": {
+        "grpc": {
+          "libraryClient": "DataplexServiceClient",
+          "rpcs": {
+            "CancelJob": {
+              "methods": [
+                "cancel_job"
+              ]
+            },
+            "CreateAsset": {
+              "methods": [
+                "create_asset"
+              ]
+            },
+            "CreateEnvironment": {
+              "methods": [
+                "create_environment"
+              ]
+            },
+            "CreateLake": {
+              "methods": [
+                "create_lake"
+              ]
+            },
+            "CreateTask": {
+              "methods": [
+                "create_task"
+              ]
+            },
+            "CreateZone": {
+              "methods": [
+                "create_zone"
+              ]
+            },
+            "DeleteAsset": {
+              "methods": [
+                "delete_asset"
+              ]
+            },
+            "DeleteEnvironment": {
+              "methods": [
+                "delete_environment"
+              ]
+            },
+            "DeleteLake": {
+              "methods": [
+                "delete_lake"
+              ]
+            },
+            "DeleteTask": {
+              "methods": [
+                "delete_task"
+              ]
+            },
+            "DeleteZone": {
+              "methods": [
+                "delete_zone"
+              ]
+            },
+            "GetAsset": {
+              "methods": [
+                "get_asset"
+              ]
+            },
+            "GetEnvironment": {
+              "methods": [
+                "get_environment"
+              ]
+            },
+            "GetJob": {
+              "methods": [
+                "get_job"
+              ]
+            },
+            "GetLake": {
+              "methods": [
+                "get_lake"
+              ]
+            },
+            "GetTask": {
+              "methods": [
+                "get_task"
+              ]
+            },
+            "GetZone": {
+              "methods": [
+                "get_zone"
+              ]
+            },
+            "ListAssetActions": {
+              "methods": [
+                "list_asset_actions"
+              ]
+            },
+            "ListAssets": {
+              "methods": [
+                "list_assets"
+              ]
+            },
+            "ListEnvironments": {
+              "methods": [
+                "list_environments"
+              ]
+            },
+            "ListJobs": {
+              "methods": [
+                "list_jobs"
+              ]
+            },
+            "ListLakeActions": {
+              "methods": [
+                "list_lake_actions"
+              ]
+            },
+            "ListLakes": {
+              "methods": [
+                "list_lakes"
+              ]
+            },
+            "ListSessions": {
+              "methods": [
+                "list_sessions"
+              ]
+            },
+            "ListTasks": {
+              "methods": [
+                "list_tasks"
+              ]
+            },
+            "ListZoneActions": {
+              "methods": [
+                "list_zone_actions"
+              ]
+            },
+            "ListZones": {
+              "methods": [
+                "list_zones"
+              ]
+            },
+            "RunTask": {
+              "methods": [
+                "run_task"
+              ]
+            },
+            "UpdateAsset": {
+              "methods": [
+                "update_asset"
+              ]
+            },
+            "UpdateEnvironment": {
+              "methods": [
+                "update_environment"
+              ]
+            },
+            "UpdateLake": {
+              "methods": [
+                "update_lake"
+              ]
+            },
+            "UpdateTask": {
+              "methods": [
+                "update_task"
+              ]
+            },
+            "UpdateZone": {
+              "methods": [
+                "update_zone"
+              ]
+            }
+          }
+        },
+        "grpc-async": {
+          "libraryClient": "DataplexServiceAsyncClient",
+          "rpcs": {
+            "CancelJob": {
+              "methods": [
+                "cancel_job"
+              ]
+            },
+            "CreateAsset": {
+              "methods": [
+                "create_asset"
+              ]
+            },
+            "CreateEnvironment": {
+              "methods": [
+                "create_environment"
+              ]
+            },
+            "CreateLake": {
+              "methods": [
+                "create_lake"
+              ]
+            },
+            "CreateTask": {
+              "methods": [
+                "create_task"
+              ]
+            },
+            "CreateZone": {
+              "methods": [
+                "create_zone"
+              ]
+            },
+            "DeleteAsset": {
+              "methods": [
+                "delete_asset"
+              ]
+            },
+            "DeleteEnvironment": {
+              "methods": [
+                "delete_environment"
+              ]
+            },
+            "DeleteLake": {
+              "methods": [
+                "delete_lake"
+              ]
+            },
+            "DeleteTask": {
+              "methods": [
+                "delete_task"
+              ]
+            },
+            "DeleteZone": {
+              "methods": [
+                "delete_zone"
+              ]
+            },
+            "GetAsset": {
+              "methods": [
+                "get_asset"
+              ]
+            },
+            "GetEnvironment": {
+              "methods": [
+                "get_environment"
+              ]
+            },
+            "GetJob": {
+              "methods": [
+                "get_job"
+              ]
+            },
+            "GetLake": {
+              "methods": [
+                "get_lake"
+              ]
+            },
+            "GetTask": {
+              "methods": [
+                "get_task"
+              ]
+            },
+            "GetZone": {
+              "methods": [
+                "get_zone"
+              ]
+            },
+            "ListAssetActions": {
+              "methods": [
+                "list_asset_actions"
+              ]
+            },
+            "ListAssets": {
+              "methods": [
+                "list_assets"
+              ]
+            },
+            "ListEnvironments": {
+              "methods": [
+                "list_environments"
+              ]
+            },
+            "ListJobs": {
+              "methods": [
+                "list_jobs"
+              ]
+            },
+            "ListLakeActions": {
+              "methods": [
+                "list_lake_actions"
+              ]
+            },
+            "ListLakes": {
+              "methods": [
+                "list_lakes"
+              ]
+            },
+            "ListSessions": {
+              "methods": [
+                "list_sessions"
+              ]
+            },
+            "ListTasks": {
+              "methods": [
+                "list_tasks"
+              ]
+            },
+            "ListZoneActions": {
+              "methods": [
+                "list_zone_actions"
+              ]
+            },
+            "ListZones": {
+              "methods": [
+                "list_zones"
+              ]
+            },
+            "RunTask": {
+              "methods": [
+                "run_task"
+              ]
+            },
+            "UpdateAsset": {
+              "methods": [
+                "update_asset"
+              ]
+            },
+            "UpdateEnvironment": {
+              "methods": [
+                "update_environment"
+              ]
+            },
+            "UpdateLake": {
+              "methods": [
+                "update_lake"
+              ]
+            },
+            "UpdateTask": {
+              "methods": [
+                "update_task"
+              ]
+            },
+            "UpdateZone": {
+              "methods": [
+                "update_zone"
+              ]
+            }
+          }
+        }
+      }
+    },
+    "MetadataService": {
+      "clients": {
+        "grpc": {
+          "libraryClient": "MetadataServiceClient",
+          "rpcs": {
+            "CreateEntity": {
+              "methods": [
+                "create_entity"
+              ]
+            },
+            "CreatePartition": {
+              "methods": [
+                "create_partition"
+              ]
+            },
+            "DeleteEntity": {
+              "methods": [
+                "delete_entity"
+              ]
+            },
+            "DeletePartition": {
+              "methods": [
+                "delete_partition"
+              ]
+            },
+            "GetEntity": {
+              "methods": [
+                "get_entity"
+              ]
+            },
+            "GetPartition": {
+              "methods": [
+                "get_partition"
+              ]
+            },
+            "ListEntities": {
+              "methods": [
+                "list_entities"
+              ]
+            },
+            "ListPartitions": {
+              "methods": [
+                "list_partitions"
+              ]
+            },
+            "UpdateEntity": {
+              "methods": [
+                "update_entity"
+              ]
+            }
+          }
+        },
+        "grpc-async": {
+          "libraryClient": "MetadataServiceAsyncClient",
+          "rpcs": {
+            "CreateEntity": {
+              "methods": [
+                "create_entity"
+              ]
+            },
+            "CreatePartition": {
+              "methods": [
+                "create_partition"
+              ]
+            },
+            "DeleteEntity": {
+              "methods": [
+                "delete_entity"
+              ]
+            },
+            "DeletePartition": {
+              "methods": [
+                "delete_partition"
+              ]
+            },
+            "GetEntity": {
+              "methods": [
+                "get_entity"
+              ]
+            },
+            "GetPartition": {
+              "methods": [
+                "get_partition"
+              ]
+            },
+            "ListEntities": {
+              "methods": [
+                "list_entities"
+              ]
+            },
+            "ListPartitions": {
+              "methods": [
+                "list_partitions"
+              ]
+            },
+            "UpdateEntity": {
+              "methods": [
+                "update_entity"
+              ]
+            }
+          }
+        }
+      }
+    }
+  }
+}
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/gapic_version.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/gapic_version.py
new file mode 100644
index 000000000000..558c8aab67c5
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/gapic_version.py
@@ -0,0 +1,16 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+__version__ = "0.0.0"  # {x-release-please-version}
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/py.typed b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/py.typed
new file mode 100644
index 000000000000..c932c263028e
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/py.typed
@@ -0,0 +1,2 @@
+# Marker file for PEP 561.
+# The google-cloud-dataplex package uses inline types.
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/__init__.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/__init__.py
new file mode 100644
index 000000000000..8f6cf068242c
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/__init__.py
@@ -0,0 +1,15 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/catalog_service/__init__.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/catalog_service/__init__.py
new file mode 100644
index 000000000000..91f4e026ba8c
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/catalog_service/__init__.py
@@ -0,0 +1,22 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from .client import CatalogServiceClient
+from .async_client import CatalogServiceAsyncClient
+
+__all__ = (
+    'CatalogServiceClient',
+    'CatalogServiceAsyncClient',
+)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/catalog_service/async_client.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/catalog_service/async_client.py
new file mode 100644
index 000000000000..dfe5af31637d
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/catalog_service/async_client.py
@@ -0,0 +1,3652 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from collections import OrderedDict
+import re
+from typing import Dict, Callable, Mapping, MutableMapping, MutableSequence, Optional, Sequence, Tuple, Type, Union
+
+from google.cloud.dataplex_v1 import gapic_version as package_version
+
+from google.api_core.client_options import ClientOptions
+from google.api_core import exceptions as core_exceptions
+from google.api_core import gapic_v1
+from google.api_core import retry_async as retries
+from google.auth import credentials as ga_credentials   # type: ignore
+from google.oauth2 import service_account              # type: ignore
+
+
+try:
+    OptionalRetry = Union[retries.AsyncRetry, gapic_v1.method._MethodDefault, None]
+except AttributeError:  # pragma: NO COVER
+    OptionalRetry = Union[retries.AsyncRetry, object, None]  # type: ignore
+
+from google.api_core import operation  # type: ignore
+from google.api_core import operation_async  # type: ignore
+from google.cloud.dataplex_v1.services.catalog_service import pagers
+from google.cloud.dataplex_v1.types import catalog
+from google.cloud.dataplex_v1.types import service
+from google.cloud.location import locations_pb2 # type: ignore
+from google.iam.v1 import iam_policy_pb2  # type: ignore
+from google.iam.v1 import policy_pb2  # type: ignore
+from google.longrunning import operations_pb2 # type: ignore
+from google.protobuf import empty_pb2  # type: ignore
+from google.protobuf import field_mask_pb2  # type: ignore
+from google.protobuf import timestamp_pb2  # type: ignore
+from .transports.base import CatalogServiceTransport, DEFAULT_CLIENT_INFO
+from .transports.grpc_asyncio import CatalogServiceGrpcAsyncIOTransport
+from .client import CatalogServiceClient
+
+
+class CatalogServiceAsyncClient:
+    """The primary resources offered by this service are
+    EntryGroups, EntryTypes, AspectTypes, and Entries. They
+    collectively let data administrators organize, manage, secure,
+    and catalog data located across cloud projects in their
+    organization in a variety of storage systems, including Cloud
+    Storage and BigQuery.
+    """
+
+    _client: CatalogServiceClient
+
+    # Copy defaults from the synchronous client for use here.
+    # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead.
+    DEFAULT_ENDPOINT = CatalogServiceClient.DEFAULT_ENDPOINT
+    DEFAULT_MTLS_ENDPOINT = CatalogServiceClient.DEFAULT_MTLS_ENDPOINT
+    _DEFAULT_ENDPOINT_TEMPLATE = CatalogServiceClient._DEFAULT_ENDPOINT_TEMPLATE
+    _DEFAULT_UNIVERSE = CatalogServiceClient._DEFAULT_UNIVERSE
+
+    aspect_type_path = staticmethod(CatalogServiceClient.aspect_type_path)
+    parse_aspect_type_path = staticmethod(CatalogServiceClient.parse_aspect_type_path)
+    entry_path = staticmethod(CatalogServiceClient.entry_path)
+    parse_entry_path = staticmethod(CatalogServiceClient.parse_entry_path)
+    entry_group_path = staticmethod(CatalogServiceClient.entry_group_path)
+    parse_entry_group_path = staticmethod(CatalogServiceClient.parse_entry_group_path)
+    entry_type_path = staticmethod(CatalogServiceClient.entry_type_path)
+    parse_entry_type_path = staticmethod(CatalogServiceClient.parse_entry_type_path)
+    metadata_job_path = staticmethod(CatalogServiceClient.metadata_job_path)
+    parse_metadata_job_path = staticmethod(CatalogServiceClient.parse_metadata_job_path)
+    common_billing_account_path = staticmethod(CatalogServiceClient.common_billing_account_path)
+    parse_common_billing_account_path = staticmethod(CatalogServiceClient.parse_common_billing_account_path)
+    common_folder_path = staticmethod(CatalogServiceClient.common_folder_path)
+    parse_common_folder_path = staticmethod(CatalogServiceClient.parse_common_folder_path)
+    common_organization_path = staticmethod(CatalogServiceClient.common_organization_path)
+    parse_common_organization_path = staticmethod(CatalogServiceClient.parse_common_organization_path)
+    common_project_path = staticmethod(CatalogServiceClient.common_project_path)
+    parse_common_project_path = staticmethod(CatalogServiceClient.parse_common_project_path)
+    common_location_path = staticmethod(CatalogServiceClient.common_location_path)
+    parse_common_location_path = staticmethod(CatalogServiceClient.parse_common_location_path)
+
+    @classmethod
+    def from_service_account_info(cls, info: dict, *args, **kwargs):
+        """Creates an instance of this client using the provided credentials
+            info.
+
+        Args:
+            info (dict): The service account private key info.
+            args: Additional arguments to pass to the constructor.
+            kwargs: Additional arguments to pass to the constructor.
+
+        Returns:
+            CatalogServiceAsyncClient: The constructed client.
+        """
+        return CatalogServiceClient.from_service_account_info.__func__(CatalogServiceAsyncClient, info, *args, **kwargs)  # type: ignore
+
+    @classmethod
+    def from_service_account_file(cls, filename: str, *args, **kwargs):
+        """Creates an instance of this client using the provided credentials
+            file.
+
+        Args:
+            filename (str): The path to the service account private key json
+                file.
+            args: Additional arguments to pass to the constructor.
+            kwargs: Additional arguments to pass to the constructor.
+
+        Returns:
+            CatalogServiceAsyncClient: The constructed client.
+        """
+        return CatalogServiceClient.from_service_account_file.__func__(CatalogServiceAsyncClient, filename, *args, **kwargs)  # type: ignore
+
+    from_service_account_json = from_service_account_file
+
+    @classmethod
+    def get_mtls_endpoint_and_cert_source(cls, client_options: Optional[ClientOptions] = None):
+        """Return the API endpoint and client cert source for mutual TLS.
+
+        The client cert source is determined in the following order:
+        (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the
+        client cert source is None.
+        (2) if `client_options.client_cert_source` is provided, use the provided one; if the
+        default client cert source exists, use the default one; otherwise the client cert
+        source is None.
+
+        The API endpoint is determined in the following order:
+        (1) if `client_options.api_endpoint` if provided, use the provided one.
+        (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the
+        default mTLS endpoint; if the environment variable is "never", use the default API
+        endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise
+        use the default API endpoint.
+
+        More details can be found at https://google.aip.dev/auth/4114.
+
+        Args:
+            client_options (google.api_core.client_options.ClientOptions): Custom options for the
+                client. Only the `api_endpoint` and `client_cert_source` properties may be used
+                in this method.
+
+        Returns:
+            Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the
+                client cert source to use.
+
+        Raises:
+            google.auth.exceptions.MutualTLSChannelError: If any errors happen.
+        """
+        return CatalogServiceClient.get_mtls_endpoint_and_cert_source(client_options)  # type: ignore
+
+    @property
+    def transport(self) -> CatalogServiceTransport:
+        """Returns the transport used by the client instance.
+
+        Returns:
+            CatalogServiceTransport: The transport used by the client instance.
+        """
+        return self._client.transport
+
+    @property
+    def api_endpoint(self):
+        """Return the API endpoint used by the client instance.
+
+        Returns:
+            str: The API endpoint used by the client instance.
+        """
+        return self._client._api_endpoint
+
+    @property
+    def universe_domain(self) -> str:
+        """Return the universe domain used by the client instance.
+
+        Returns:
+            str: The universe domain used
+                by the client instance.
+        """
+        return self._client._universe_domain
+
+    get_transport_class = CatalogServiceClient.get_transport_class
+
+    def __init__(self, *,
+            credentials: Optional[ga_credentials.Credentials] = None,
+            transport: Optional[Union[str, CatalogServiceTransport, Callable[..., CatalogServiceTransport]]] = "grpc_asyncio",
+            client_options: Optional[ClientOptions] = None,
+            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
+            ) -> None:
+        """Instantiates the catalog service async client.
+
+        Args:
+            credentials (Optional[google.auth.credentials.Credentials]): The
+                authorization credentials to attach to requests. These
+                credentials identify the application to the service; if none
+                are specified, the client will attempt to ascertain the
+                credentials from the environment.
+            transport (Optional[Union[str,CatalogServiceTransport,Callable[..., CatalogServiceTransport]]]):
+                The transport to use, or a Callable that constructs and returns a new transport to use.
+                If a Callable is given, it will be called with the same set of initialization
+                arguments as used in the CatalogServiceTransport constructor.
+                If set to None, a transport is chosen automatically.
+            client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]):
+                Custom options for the client.
+
+                1. The ``api_endpoint`` property can be used to override the
+                default endpoint provided by the client when ``transport`` is
+                not explicitly provided. Only if this property is not set and
+                ``transport`` was not explicitly provided, the endpoint is
+                determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment
+                variable, which have one of the following values:
+                "always" (always use the default mTLS endpoint), "never" (always
+                use the default regular endpoint) and "auto" (auto-switch to the
+                default mTLS endpoint if client certificate is present; this is
+                the default value).
+
+                2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable
+                is "true", then the ``client_cert_source`` property can be used
+                to provide a client certificate for mTLS transport. If
+                not provided, the default SSL client certificate will be used if
+                present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not
+                set, no client certificate will be used.
+
+                3. The ``universe_domain`` property can be used to override the
+                default "googleapis.com" universe. Note that ``api_endpoint``
+                property still takes precedence; and ``universe_domain`` is
+                currently not supported for mTLS.
+
+            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
+                The client info used to send a user-agent string along with
+                API requests. If ``None``, then default info will be used.
+                Generally, you only need to set this if you're developing
+                your own client library.
+
+        Raises:
+            google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport
+                creation failed for any reason.
+        """
+        self._client = CatalogServiceClient(
+            credentials=credentials,
+            transport=transport,
+            client_options=client_options,
+            client_info=client_info,
+
+        )
+
+    async def create_entry_type(self,
+            request: Optional[Union[catalog.CreateEntryTypeRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            entry_type: Optional[catalog.EntryType] = None,
+            entry_type_id: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation_async.AsyncOperation:
+        r"""Creates an EntryType.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_create_entry_type():
+                # Create a client
+                client = dataplex_v1.CatalogServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.CreateEntryTypeRequest(
+                    parent="parent_value",
+                    entry_type_id="entry_type_id_value",
+                )
+
+                # Make the request
+                operation = client.create_entry_type(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = (await operation).result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.CreateEntryTypeRequest, dict]]):
+                The request object. Create EntryType Request.
+            parent (:class:`str`):
+                Required. The resource name of the EntryType, of the
+                form: projects/{project_number}/locations/{location_id}
+                where ``location_id`` refers to a Google Cloud region.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            entry_type (:class:`google.cloud.dataplex_v1.types.EntryType`):
+                Required. EntryType Resource.
+                This corresponds to the ``entry_type`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            entry_type_id (:class:`str`):
+                Required. EntryType identifier.
+                This corresponds to the ``entry_type_id`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation_async.AsyncOperation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be
+                :class:`google.cloud.dataplex_v1.types.EntryType` Entry
+                Type is a template for creating Entries.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent, entry_type, entry_type_id])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.CreateEntryTypeRequest):
+            request = catalog.CreateEntryTypeRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if parent is not None:
+            request.parent = parent
+        if entry_type is not None:
+            request.entry_type = entry_type
+        if entry_type_id is not None:
+            request.entry_type_id = entry_type_id
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.create_entry_type]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation_async.from_gapic(
+            response,
+            self._client._transport.operations_client,
+            catalog.EntryType,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def update_entry_type(self,
+            request: Optional[Union[catalog.UpdateEntryTypeRequest, dict]] = None,
+            *,
+            entry_type: Optional[catalog.EntryType] = None,
+            update_mask: Optional[field_mask_pb2.FieldMask] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation_async.AsyncOperation:
+        r"""Updates an EntryType.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_update_entry_type():
+                # Create a client
+                client = dataplex_v1.CatalogServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.UpdateEntryTypeRequest(
+                )
+
+                # Make the request
+                operation = client.update_entry_type(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = (await operation).result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.UpdateEntryTypeRequest, dict]]):
+                The request object. Update EntryType Request.
+            entry_type (:class:`google.cloud.dataplex_v1.types.EntryType`):
+                Required. EntryType Resource.
+                This corresponds to the ``entry_type`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`):
+                Required. Mask of fields to update.
+                This corresponds to the ``update_mask`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation_async.AsyncOperation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be
+                :class:`google.cloud.dataplex_v1.types.EntryType` Entry
+                Type is a template for creating Entries.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([entry_type, update_mask])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.UpdateEntryTypeRequest):
+            request = catalog.UpdateEntryTypeRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if entry_type is not None:
+            request.entry_type = entry_type
+        if update_mask is not None:
+            request.update_mask = update_mask
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.update_entry_type]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("entry_type.name", request.entry_type.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation_async.from_gapic(
+            response,
+            self._client._transport.operations_client,
+            catalog.EntryType,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def delete_entry_type(self,
+            request: Optional[Union[catalog.DeleteEntryTypeRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation_async.AsyncOperation:
+        r"""Deletes an EntryType.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_delete_entry_type():
+                # Create a client
+                client = dataplex_v1.CatalogServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.DeleteEntryTypeRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                operation = client.delete_entry_type(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = (await operation).result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.DeleteEntryTypeRequest, dict]]):
+                The request object. Delele EntryType Request.
+            name (:class:`str`):
+                Required. The resource name of the EntryType:
+                ``projects/{project_number}/locations/{location_id}/entryTypes/{entry_type_id}``.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation_async.AsyncOperation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
+                   empty messages in your APIs. A typical example is to
+                   use it as the request or the response type of an API
+                   method. For instance:
+
+                      service Foo {
+                         rpc Bar(google.protobuf.Empty) returns
+                         (google.protobuf.Empty);
+
+                      }
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.DeleteEntryTypeRequest):
+            request = catalog.DeleteEntryTypeRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if name is not None:
+            request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.delete_entry_type]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation_async.from_gapic(
+            response,
+            self._client._transport.operations_client,
+            empty_pb2.Empty,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def list_entry_types(self,
+            request: Optional[Union[catalog.ListEntryTypesRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> pagers.ListEntryTypesAsyncPager:
+        r"""Lists EntryType resources in a project and location.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_list_entry_types():
+                # Create a client
+                client = dataplex_v1.CatalogServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.ListEntryTypesRequest(
+                    parent="parent_value",
+                )
+
+                # Make the request
+                page_result = client.list_entry_types(request=request)
+
+                # Handle the response
+                async for response in page_result:
+                    print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.ListEntryTypesRequest, dict]]):
+                The request object. List EntryTypes request
+            parent (:class:`str`):
+                Required. The resource name of the EntryType location,
+                of the form:
+                ``projects/{project_number}/locations/{location_id}``
+                where ``location_id`` refers to a Google Cloud region.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.services.catalog_service.pagers.ListEntryTypesAsyncPager:
+                List EntryTypes response.
+
+                Iterating over this object will yield
+                results and resolve additional pages
+                automatically.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.ListEntryTypesRequest):
+            request = catalog.ListEntryTypesRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if parent is not None:
+            request.parent = parent
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.list_entry_types]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # This method is paged; wrap the response in a pager, which provides
+        # an `__aiter__` convenience method.
+        response = pagers.ListEntryTypesAsyncPager(
+            method=rpc,
+            request=request,
+            response=response,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def get_entry_type(self,
+            request: Optional[Union[catalog.GetEntryTypeRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> catalog.EntryType:
+        r"""Gets an EntryType.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_get_entry_type():
+                # Create a client
+                client = dataplex_v1.CatalogServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.GetEntryTypeRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                response = await client.get_entry_type(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.GetEntryTypeRequest, dict]]):
+                The request object. Get EntryType request.
+            name (:class:`str`):
+                Required. The resource name of the EntryType:
+                ``projects/{project_number}/locations/{location_id}/entryTypes/{entry_type_id}``.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.EntryType:
+                Entry Type is a template for creating
+                Entries.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.GetEntryTypeRequest):
+            request = catalog.GetEntryTypeRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if name is not None:
+            request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.get_entry_type]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def create_aspect_type(self,
+            request: Optional[Union[catalog.CreateAspectTypeRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            aspect_type: Optional[catalog.AspectType] = None,
+            aspect_type_id: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation_async.AsyncOperation:
+        r"""Creates an AspectType.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_create_aspect_type():
+                # Create a client
+                client = dataplex_v1.CatalogServiceAsyncClient()
+
+                # Initialize request argument(s)
+                aspect_type = dataplex_v1.AspectType()
+                aspect_type.metadata_template.name = "name_value"
+                aspect_type.metadata_template.type_ = "type__value"
+
+                request = dataplex_v1.CreateAspectTypeRequest(
+                    parent="parent_value",
+                    aspect_type_id="aspect_type_id_value",
+                    aspect_type=aspect_type,
+                )
+
+                # Make the request
+                operation = client.create_aspect_type(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = (await operation).result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.CreateAspectTypeRequest, dict]]):
+                The request object. Create AspectType Request.
+            parent (:class:`str`):
+                Required. The resource name of the AspectType, of the
+                form: projects/{project_number}/locations/{location_id}
+                where ``location_id`` refers to a Google Cloud region.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            aspect_type (:class:`google.cloud.dataplex_v1.types.AspectType`):
+                Required. AspectType Resource.
+                This corresponds to the ``aspect_type`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            aspect_type_id (:class:`str`):
+                Required. AspectType identifier.
+                This corresponds to the ``aspect_type_id`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation_async.AsyncOperation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.AspectType` AspectType is a template for creating Aspects, and represents the
+                   JSON-schema for a given Entry, for example, BigQuery
+                   Table Schema.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent, aspect_type, aspect_type_id])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.CreateAspectTypeRequest):
+            request = catalog.CreateAspectTypeRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if parent is not None:
+            request.parent = parent
+        if aspect_type is not None:
+            request.aspect_type = aspect_type
+        if aspect_type_id is not None:
+            request.aspect_type_id = aspect_type_id
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.create_aspect_type]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation_async.from_gapic(
+            response,
+            self._client._transport.operations_client,
+            catalog.AspectType,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def update_aspect_type(self,
+            request: Optional[Union[catalog.UpdateAspectTypeRequest, dict]] = None,
+            *,
+            aspect_type: Optional[catalog.AspectType] = None,
+            update_mask: Optional[field_mask_pb2.FieldMask] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation_async.AsyncOperation:
+        r"""Updates an AspectType.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_update_aspect_type():
+                # Create a client
+                client = dataplex_v1.CatalogServiceAsyncClient()
+
+                # Initialize request argument(s)
+                aspect_type = dataplex_v1.AspectType()
+                aspect_type.metadata_template.name = "name_value"
+                aspect_type.metadata_template.type_ = "type__value"
+
+                request = dataplex_v1.UpdateAspectTypeRequest(
+                    aspect_type=aspect_type,
+                )
+
+                # Make the request
+                operation = client.update_aspect_type(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = (await operation).result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.UpdateAspectTypeRequest, dict]]):
+                The request object. Update AspectType Request
+            aspect_type (:class:`google.cloud.dataplex_v1.types.AspectType`):
+                Required. AspectType Resource
+                This corresponds to the ``aspect_type`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`):
+                Required. Mask of fields to update.
+                This corresponds to the ``update_mask`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation_async.AsyncOperation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.AspectType` AspectType is a template for creating Aspects, and represents the
+                   JSON-schema for a given Entry, for example, BigQuery
+                   Table Schema.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([aspect_type, update_mask])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.UpdateAspectTypeRequest):
+            request = catalog.UpdateAspectTypeRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if aspect_type is not None:
+            request.aspect_type = aspect_type
+        if update_mask is not None:
+            request.update_mask = update_mask
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.update_aspect_type]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("aspect_type.name", request.aspect_type.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation_async.from_gapic(
+            response,
+            self._client._transport.operations_client,
+            catalog.AspectType,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def delete_aspect_type(self,
+            request: Optional[Union[catalog.DeleteAspectTypeRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation_async.AsyncOperation:
+        r"""Deletes an AspectType.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_delete_aspect_type():
+                # Create a client
+                client = dataplex_v1.CatalogServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.DeleteAspectTypeRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                operation = client.delete_aspect_type(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = (await operation).result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.DeleteAspectTypeRequest, dict]]):
+                The request object. Delele AspectType Request.
+            name (:class:`str`):
+                Required. The resource name of the AspectType:
+                ``projects/{project_number}/locations/{location_id}/aspectTypes/{aspect_type_id}``.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation_async.AsyncOperation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
+                   empty messages in your APIs. A typical example is to
+                   use it as the request or the response type of an API
+                   method. For instance:
+
+                      service Foo {
+                         rpc Bar(google.protobuf.Empty) returns
+                         (google.protobuf.Empty);
+
+                      }
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.DeleteAspectTypeRequest):
+            request = catalog.DeleteAspectTypeRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if name is not None:
+            request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.delete_aspect_type]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation_async.from_gapic(
+            response,
+            self._client._transport.operations_client,
+            empty_pb2.Empty,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def list_aspect_types(self,
+            request: Optional[Union[catalog.ListAspectTypesRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> pagers.ListAspectTypesAsyncPager:
+        r"""Lists AspectType resources in a project and location.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_list_aspect_types():
+                # Create a client
+                client = dataplex_v1.CatalogServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.ListAspectTypesRequest(
+                    parent="parent_value",
+                )
+
+                # Make the request
+                page_result = client.list_aspect_types(request=request)
+
+                # Handle the response
+                async for response in page_result:
+                    print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.ListAspectTypesRequest, dict]]):
+                The request object. List AspectTypes request.
+            parent (:class:`str`):
+                Required. The resource name of the AspectType location,
+                of the form:
+                ``projects/{project_number}/locations/{location_id}``
+                where ``location_id`` refers to a Google Cloud region.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.services.catalog_service.pagers.ListAspectTypesAsyncPager:
+                List AspectTypes response.
+
+                Iterating over this object will yield
+                results and resolve additional pages
+                automatically.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.ListAspectTypesRequest):
+            request = catalog.ListAspectTypesRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if parent is not None:
+            request.parent = parent
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.list_aspect_types]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # This method is paged; wrap the response in a pager, which provides
+        # an `__aiter__` convenience method.
+        response = pagers.ListAspectTypesAsyncPager(
+            method=rpc,
+            request=request,
+            response=response,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def get_aspect_type(self,
+            request: Optional[Union[catalog.GetAspectTypeRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> catalog.AspectType:
+        r"""Gets an AspectType.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_get_aspect_type():
+                # Create a client
+                client = dataplex_v1.CatalogServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.GetAspectTypeRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                response = await client.get_aspect_type(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.GetAspectTypeRequest, dict]]):
+                The request object. Get AspectType request.
+            name (:class:`str`):
+                Required. The resource name of the AspectType:
+                ``projects/{project_number}/locations/{location_id}/aspectTypes/{aspect_type_id}``.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.AspectType:
+                AspectType is a template for creating
+                Aspects, and represents the JSON-schema
+                for a given Entry, for example, BigQuery
+                Table Schema.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.GetAspectTypeRequest):
+            request = catalog.GetAspectTypeRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if name is not None:
+            request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.get_aspect_type]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def create_entry_group(self,
+            request: Optional[Union[catalog.CreateEntryGroupRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            entry_group: Optional[catalog.EntryGroup] = None,
+            entry_group_id: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation_async.AsyncOperation:
+        r"""Creates an EntryGroup.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_create_entry_group():
+                # Create a client
+                client = dataplex_v1.CatalogServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.CreateEntryGroupRequest(
+                    parent="parent_value",
+                    entry_group_id="entry_group_id_value",
+                )
+
+                # Make the request
+                operation = client.create_entry_group(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = (await operation).result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.CreateEntryGroupRequest, dict]]):
+                The request object. Create EntryGroup Request.
+            parent (:class:`str`):
+                Required. The resource name of the entryGroup, of the
+                form: projects/{project_number}/locations/{location_id}
+                where ``location_id`` refers to a GCP region.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            entry_group (:class:`google.cloud.dataplex_v1.types.EntryGroup`):
+                Required. EntryGroup Resource.
+                This corresponds to the ``entry_group`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            entry_group_id (:class:`str`):
+                Required. EntryGroup identifier.
+                This corresponds to the ``entry_group_id`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation_async.AsyncOperation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be
+                :class:`google.cloud.dataplex_v1.types.EntryGroup` An
+                Entry Group represents a logical grouping of one or more
+                Entries.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent, entry_group, entry_group_id])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.CreateEntryGroupRequest):
+            request = catalog.CreateEntryGroupRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if parent is not None:
+            request.parent = parent
+        if entry_group is not None:
+            request.entry_group = entry_group
+        if entry_group_id is not None:
+            request.entry_group_id = entry_group_id
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.create_entry_group]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation_async.from_gapic(
+            response,
+            self._client._transport.operations_client,
+            catalog.EntryGroup,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def update_entry_group(self,
+            request: Optional[Union[catalog.UpdateEntryGroupRequest, dict]] = None,
+            *,
+            entry_group: Optional[catalog.EntryGroup] = None,
+            update_mask: Optional[field_mask_pb2.FieldMask] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation_async.AsyncOperation:
+        r"""Updates an EntryGroup.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_update_entry_group():
+                # Create a client
+                client = dataplex_v1.CatalogServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.UpdateEntryGroupRequest(
+                )
+
+                # Make the request
+                operation = client.update_entry_group(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = (await operation).result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.UpdateEntryGroupRequest, dict]]):
+                The request object. Update EntryGroup Request.
+            entry_group (:class:`google.cloud.dataplex_v1.types.EntryGroup`):
+                Required. EntryGroup Resource.
+                This corresponds to the ``entry_group`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`):
+                Required. Mask of fields to update.
+                This corresponds to the ``update_mask`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation_async.AsyncOperation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be
+                :class:`google.cloud.dataplex_v1.types.EntryGroup` An
+                Entry Group represents a logical grouping of one or more
+                Entries.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([entry_group, update_mask])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.UpdateEntryGroupRequest):
+            request = catalog.UpdateEntryGroupRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if entry_group is not None:
+            request.entry_group = entry_group
+        if update_mask is not None:
+            request.update_mask = update_mask
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.update_entry_group]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("entry_group.name", request.entry_group.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation_async.from_gapic(
+            response,
+            self._client._transport.operations_client,
+            catalog.EntryGroup,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def delete_entry_group(self,
+            request: Optional[Union[catalog.DeleteEntryGroupRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation_async.AsyncOperation:
+        r"""Deletes an EntryGroup.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_delete_entry_group():
+                # Create a client
+                client = dataplex_v1.CatalogServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.DeleteEntryGroupRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                operation = client.delete_entry_group(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = (await operation).result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.DeleteEntryGroupRequest, dict]]):
+                The request object. Delete EntryGroup Request.
+            name (:class:`str`):
+                Required. The resource name of the EntryGroup:
+                ``projects/{project_number}/locations/{location_id}/entryGroups/{entry_group_id}``.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation_async.AsyncOperation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
+                   empty messages in your APIs. A typical example is to
+                   use it as the request or the response type of an API
+                   method. For instance:
+
+                      service Foo {
+                         rpc Bar(google.protobuf.Empty) returns
+                         (google.protobuf.Empty);
+
+                      }
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.DeleteEntryGroupRequest):
+            request = catalog.DeleteEntryGroupRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if name is not None:
+            request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.delete_entry_group]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation_async.from_gapic(
+            response,
+            self._client._transport.operations_client,
+            empty_pb2.Empty,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def list_entry_groups(self,
+            request: Optional[Union[catalog.ListEntryGroupsRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> pagers.ListEntryGroupsAsyncPager:
+        r"""Lists EntryGroup resources in a project and location.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_list_entry_groups():
+                # Create a client
+                client = dataplex_v1.CatalogServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.ListEntryGroupsRequest(
+                    parent="parent_value",
+                )
+
+                # Make the request
+                page_result = client.list_entry_groups(request=request)
+
+                # Handle the response
+                async for response in page_result:
+                    print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.ListEntryGroupsRequest, dict]]):
+                The request object. List entryGroups request.
+            parent (:class:`str`):
+                Required. The resource name of the entryGroup location,
+                of the form:
+                ``projects/{project_number}/locations/{location_id}``
+                where ``location_id`` refers to a Google Cloud region.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.services.catalog_service.pagers.ListEntryGroupsAsyncPager:
+                List entry groups response.
+
+                Iterating over this object will yield
+                results and resolve additional pages
+                automatically.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.ListEntryGroupsRequest):
+            request = catalog.ListEntryGroupsRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if parent is not None:
+            request.parent = parent
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.list_entry_groups]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # This method is paged; wrap the response in a pager, which provides
+        # an `__aiter__` convenience method.
+        response = pagers.ListEntryGroupsAsyncPager(
+            method=rpc,
+            request=request,
+            response=response,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def get_entry_group(self,
+            request: Optional[Union[catalog.GetEntryGroupRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> catalog.EntryGroup:
+        r"""Gets an EntryGroup.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_get_entry_group():
+                # Create a client
+                client = dataplex_v1.CatalogServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.GetEntryGroupRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                response = await client.get_entry_group(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.GetEntryGroupRequest, dict]]):
+                The request object. Get EntryGroup request.
+            name (:class:`str`):
+                Required. The resource name of the EntryGroup:
+                ``projects/{project_number}/locations/{location_id}/entryGroups/{entry_group_id}``.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.EntryGroup:
+                An Entry Group represents a logical
+                grouping of one or more Entries.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.GetEntryGroupRequest):
+            request = catalog.GetEntryGroupRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if name is not None:
+            request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.get_entry_group]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def create_entry(self,
+            request: Optional[Union[catalog.CreateEntryRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            entry: Optional[catalog.Entry] = None,
+            entry_id: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> catalog.Entry:
+        r"""Creates an Entry.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_create_entry():
+                # Create a client
+                client = dataplex_v1.CatalogServiceAsyncClient()
+
+                # Initialize request argument(s)
+                entry = dataplex_v1.Entry()
+                entry.entry_type = "entry_type_value"
+
+                request = dataplex_v1.CreateEntryRequest(
+                    parent="parent_value",
+                    entry_id="entry_id_value",
+                    entry=entry,
+                )
+
+                # Make the request
+                response = await client.create_entry(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.CreateEntryRequest, dict]]):
+                The request object. Create Entry request.
+            parent (:class:`str`):
+                Required. The resource name of the parent Entry Group:
+                ``projects/{project}/locations/{location}/entryGroups/{entry_group}``.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            entry (:class:`google.cloud.dataplex_v1.types.Entry`):
+                Required. Entry resource.
+                This corresponds to the ``entry`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            entry_id (:class:`str`):
+                Required. Entry identifier. It has to be unique within
+                an Entry Group.
+
+                Entries corresponding to Google Cloud resources use an
+                Entry ID format based on `full resource
+                names <https://cloud.google.com/apis/design/resource_names#full_resource_name>`__.
+                The format is a full resource name of the resource
+                without the prefix double slashes in the API service
+                name part of the full resource name. This allows
+                retrieval of entries using their associated resource
+                name.
+
+                For example, if the full resource name of a resource is
+                ``//library.googleapis.com/shelves/shelf1/books/book2``,
+                then the suggested entry_id is
+                ``library.googleapis.com/shelves/shelf1/books/book2``.
+
+                It is also suggested to follow the same convention for
+                entries corresponding to resources from providers or
+                systems other than Google Cloud.
+
+                The maximum size of the field is 4000 characters.
+
+                This corresponds to the ``entry_id`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.Entry:
+                An entry is a representation of a
+                data resource that can be described by
+                various metadata.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent, entry, entry_id])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.CreateEntryRequest):
+            request = catalog.CreateEntryRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if parent is not None:
+            request.parent = parent
+        if entry is not None:
+            request.entry = entry
+        if entry_id is not None:
+            request.entry_id = entry_id
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.create_entry]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def update_entry(self,
+            request: Optional[Union[catalog.UpdateEntryRequest, dict]] = None,
+            *,
+            entry: Optional[catalog.Entry] = None,
+            update_mask: Optional[field_mask_pb2.FieldMask] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> catalog.Entry:
+        r"""Updates an Entry.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_update_entry():
+                # Create a client
+                client = dataplex_v1.CatalogServiceAsyncClient()
+
+                # Initialize request argument(s)
+                entry = dataplex_v1.Entry()
+                entry.entry_type = "entry_type_value"
+
+                request = dataplex_v1.UpdateEntryRequest(
+                    entry=entry,
+                )
+
+                # Make the request
+                response = await client.update_entry(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.UpdateEntryRequest, dict]]):
+                The request object. Update Entry request.
+            entry (:class:`google.cloud.dataplex_v1.types.Entry`):
+                Required. Entry resource.
+                This corresponds to the ``entry`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`):
+                Optional. Mask of fields to update. To update Aspects,
+                the update_mask must contain the value "aspects".
+
+                If the update_mask is empty, the service will update all
+                modifiable fields present in the request.
+
+                This corresponds to the ``update_mask`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.Entry:
+                An entry is a representation of a
+                data resource that can be described by
+                various metadata.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([entry, update_mask])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.UpdateEntryRequest):
+            request = catalog.UpdateEntryRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if entry is not None:
+            request.entry = entry
+        if update_mask is not None:
+            request.update_mask = update_mask
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.update_entry]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("entry.name", request.entry.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def delete_entry(self,
+            request: Optional[Union[catalog.DeleteEntryRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> catalog.Entry:
+        r"""Deletes an Entry.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_delete_entry():
+                # Create a client
+                client = dataplex_v1.CatalogServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.DeleteEntryRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                response = await client.delete_entry(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.DeleteEntryRequest, dict]]):
+                The request object. Delete Entry request.
+            name (:class:`str`):
+                Required. The resource name of the Entry:
+                ``projects/{project}/locations/{location}/entryGroups/{entry_group}/entries/{entry}``.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.Entry:
+                An entry is a representation of a
+                data resource that can be described by
+                various metadata.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.DeleteEntryRequest):
+            request = catalog.DeleteEntryRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if name is not None:
+            request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.delete_entry]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def list_entries(self,
+            request: Optional[Union[catalog.ListEntriesRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> pagers.ListEntriesAsyncPager:
+        r"""Lists Entries within an EntryGroup.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_list_entries():
+                # Create a client
+                client = dataplex_v1.CatalogServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.ListEntriesRequest(
+                    parent="parent_value",
+                )
+
+                # Make the request
+                page_result = client.list_entries(request=request)
+
+                # Handle the response
+                async for response in page_result:
+                    print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.ListEntriesRequest, dict]]):
+                The request object. List Entries request.
+            parent (:class:`str`):
+                Required. The resource name of the parent Entry Group:
+                ``projects/{project}/locations/{location}/entryGroups/{entry_group}``.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.services.catalog_service.pagers.ListEntriesAsyncPager:
+                List Entries response.
+
+                Iterating over this object will yield
+                results and resolve additional pages
+                automatically.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.ListEntriesRequest):
+            request = catalog.ListEntriesRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if parent is not None:
+            request.parent = parent
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.list_entries]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # This method is paged; wrap the response in a pager, which provides
+        # an `__aiter__` convenience method.
+        response = pagers.ListEntriesAsyncPager(
+            method=rpc,
+            request=request,
+            response=response,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def get_entry(self,
+            request: Optional[Union[catalog.GetEntryRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> catalog.Entry:
+        r"""Gets an Entry.
+
+        **Caution**: The BigQuery metadata that is stored in Dataplex
+        Catalog is changing. For more information, see `Changes to
+        BigQuery metadata stored in Dataplex
+        Catalog <https://cloud.google.com/dataplex/docs/biqquery-metadata-changes>`__.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_get_entry():
+                # Create a client
+                client = dataplex_v1.CatalogServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.GetEntryRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                response = await client.get_entry(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.GetEntryRequest, dict]]):
+                The request object. Get Entry request.
+            name (:class:`str`):
+                Required. The resource name of the Entry:
+                ``projects/{project}/locations/{location}/entryGroups/{entry_group}/entries/{entry}``.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.Entry:
+                An entry is a representation of a
+                data resource that can be described by
+                various metadata.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.GetEntryRequest):
+            request = catalog.GetEntryRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if name is not None:
+            request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.get_entry]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def lookup_entry(self,
+            request: Optional[Union[catalog.LookupEntryRequest, dict]] = None,
+            *,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> catalog.Entry:
+        r"""Looks up a single Entry by name using the permission on the
+        source system.
+
+        **Caution**: The BigQuery metadata that is stored in Dataplex
+        Catalog is changing. For more information, see `Changes to
+        BigQuery metadata stored in Dataplex
+        Catalog <https://cloud.google.com/dataplex/docs/biqquery-metadata-changes>`__.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_lookup_entry():
+                # Create a client
+                client = dataplex_v1.CatalogServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.LookupEntryRequest(
+                    name="name_value",
+                    entry="entry_value",
+                )
+
+                # Make the request
+                response = await client.lookup_entry(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.LookupEntryRequest, dict]]):
+                The request object. Lookup Entry request using
+                permissions in the source system.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.Entry:
+                An entry is a representation of a
+                data resource that can be described by
+                various metadata.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.LookupEntryRequest):
+            request = catalog.LookupEntryRequest(request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.lookup_entry]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def search_entries(self,
+            request: Optional[Union[catalog.SearchEntriesRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            query: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> pagers.SearchEntriesAsyncPager:
+        r"""Searches for Entries matching the given query and
+        scope.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_search_entries():
+                # Create a client
+                client = dataplex_v1.CatalogServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.SearchEntriesRequest(
+                    name="name_value",
+                    query="query_value",
+                )
+
+                # Make the request
+                page_result = client.search_entries(request=request)
+
+                # Handle the response
+                async for response in page_result:
+                    print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.SearchEntriesRequest, dict]]):
+                The request object.
+            name (:class:`str`):
+                Required. The project to which the request should be
+                attributed in the following form:
+                ``projects/{project}/locations/{location}``.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            query (:class:`str`):
+                Required. The query against which
+                entries in scope should be matched.
+
+                This corresponds to the ``query`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.services.catalog_service.pagers.SearchEntriesAsyncPager:
+                Iterating over this object will yield
+                results and resolve additional pages
+                automatically.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name, query])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.SearchEntriesRequest):
+            request = catalog.SearchEntriesRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if name is not None:
+            request.name = name
+        if query is not None:
+            request.query = query
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.search_entries]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # This method is paged; wrap the response in a pager, which provides
+        # an `__aiter__` convenience method.
+        response = pagers.SearchEntriesAsyncPager(
+            method=rpc,
+            request=request,
+            response=response,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def create_metadata_job(self,
+            request: Optional[Union[catalog.CreateMetadataJobRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            metadata_job: Optional[catalog.MetadataJob] = None,
+            metadata_job_id: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation_async.AsyncOperation:
+        r"""Creates a metadata job. For example, use a metadata
+        job to import Dataplex Catalog entries and aspects from
+        a third-party system into Dataplex.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_create_metadata_job():
+                # Create a client
+                client = dataplex_v1.CatalogServiceAsyncClient()
+
+                # Initialize request argument(s)
+                metadata_job = dataplex_v1.MetadataJob()
+                metadata_job.import_spec.scope.entry_groups = ['entry_groups_value1', 'entry_groups_value2']
+                metadata_job.import_spec.scope.entry_types = ['entry_types_value1', 'entry_types_value2']
+                metadata_job.import_spec.entry_sync_mode = "INCREMENTAL"
+                metadata_job.import_spec.aspect_sync_mode = "INCREMENTAL"
+                metadata_job.type_ = "IMPORT"
+
+                request = dataplex_v1.CreateMetadataJobRequest(
+                    parent="parent_value",
+                    metadata_job=metadata_job,
+                )
+
+                # Make the request
+                operation = client.create_metadata_job(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = (await operation).result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.CreateMetadataJobRequest, dict]]):
+                The request object. Create metadata job request.
+            parent (:class:`str`):
+                Required. The resource name of the parent location, in
+                the format
+                ``projects/{project_id_or_number}/locations/{location_id}``
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            metadata_job (:class:`google.cloud.dataplex_v1.types.MetadataJob`):
+                Required. The metadata job resource.
+                This corresponds to the ``metadata_job`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            metadata_job_id (:class:`str`):
+                Optional. The metadata job ID. If not provided, a unique
+                ID is generated with the prefix ``metadata-job-``.
+
+                This corresponds to the ``metadata_job_id`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation_async.AsyncOperation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be
+                :class:`google.cloud.dataplex_v1.types.MetadataJob` A
+                metadata job resource.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent, metadata_job, metadata_job_id])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.CreateMetadataJobRequest):
+            request = catalog.CreateMetadataJobRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if parent is not None:
+            request.parent = parent
+        if metadata_job is not None:
+            request.metadata_job = metadata_job
+        if metadata_job_id is not None:
+            request.metadata_job_id = metadata_job_id
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.create_metadata_job]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation_async.from_gapic(
+            response,
+            self._client._transport.operations_client,
+            catalog.MetadataJob,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def get_metadata_job(self,
+            request: Optional[Union[catalog.GetMetadataJobRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> catalog.MetadataJob:
+        r"""Gets a metadata job.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_get_metadata_job():
+                # Create a client
+                client = dataplex_v1.CatalogServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.GetMetadataJobRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                response = await client.get_metadata_job(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.GetMetadataJobRequest, dict]]):
+                The request object. Get metadata job request.
+            name (:class:`str`):
+                Required. The resource name of the metadata job, in the
+                format
+                ``projects/{project_id_or_number}/locations/{location_id}/metadataJobs/{metadata_job_id}``.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.MetadataJob:
+                A metadata job resource.
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.GetMetadataJobRequest):
+            request = catalog.GetMetadataJobRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if name is not None:
+            request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.get_metadata_job]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def list_metadata_jobs(self,
+            request: Optional[Union[catalog.ListMetadataJobsRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> pagers.ListMetadataJobsAsyncPager:
+        r"""Lists metadata jobs.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_list_metadata_jobs():
+                # Create a client
+                client = dataplex_v1.CatalogServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.ListMetadataJobsRequest(
+                    parent="parent_value",
+                )
+
+                # Make the request
+                page_result = client.list_metadata_jobs(request=request)
+
+                # Handle the response
+                async for response in page_result:
+                    print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.ListMetadataJobsRequest, dict]]):
+                The request object. List metadata jobs request.
+            parent (:class:`str`):
+                Required. The resource name of the parent location, in
+                the format
+                ``projects/{project_id_or_number}/locations/{location_id}``
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.services.catalog_service.pagers.ListMetadataJobsAsyncPager:
+                List metadata jobs response.
+
+                Iterating over this object will yield
+                results and resolve additional pages
+                automatically.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.ListMetadataJobsRequest):
+            request = catalog.ListMetadataJobsRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if parent is not None:
+            request.parent = parent
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.list_metadata_jobs]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # This method is paged; wrap the response in a pager, which provides
+        # an `__aiter__` convenience method.
+        response = pagers.ListMetadataJobsAsyncPager(
+            method=rpc,
+            request=request,
+            response=response,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def cancel_metadata_job(self,
+            request: Optional[Union[catalog.CancelMetadataJobRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> None:
+        r"""Cancels a metadata job.
+
+        If you cancel a metadata import job that is in progress,
+        the changes in the job might be partially applied. We
+        recommend that you reset the state of the entry groups
+        in your project by running another metadata job that
+        reverts the changes from the canceled job.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_cancel_metadata_job():
+                # Create a client
+                client = dataplex_v1.CatalogServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.CancelMetadataJobRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                await client.cancel_metadata_job(request=request)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.CancelMetadataJobRequest, dict]]):
+                The request object. Cancel metadata job request.
+            name (:class:`str`):
+                Required. The resource name of the job, in the format
+                ``projects/{project_id_or_number}/locations/{location_id}/metadataJobs/{metadata_job_id}``
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.CancelMetadataJobRequest):
+            request = catalog.CancelMetadataJobRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if name is not None:
+            request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.cancel_metadata_job]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+    async def list_operations(
+        self,
+        request: Optional[operations_pb2.ListOperationsRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> operations_pb2.ListOperationsResponse:
+        r"""Lists operations that match the specified filter in the request.
+
+        Args:
+            request (:class:`~.operations_pb2.ListOperationsRequest`):
+                The request object. Request message for
+                `ListOperations` method.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.operations_pb2.ListOperationsResponse:
+                Response message for ``ListOperations`` method.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.ListOperationsRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self.transport._wrapped_methods[self._client._transport.list_operations]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request, retry=retry, timeout=timeout, metadata=metadata,)
+
+        # Done; return the response.
+        return response
+
+    async def get_operation(
+        self,
+        request: Optional[operations_pb2.GetOperationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> operations_pb2.Operation:
+        r"""Gets the latest state of a long-running operation.
+
+        Args:
+            request (:class:`~.operations_pb2.GetOperationRequest`):
+                The request object. Request message for
+                `GetOperation` method.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.operations_pb2.Operation:
+                An ``Operation`` object.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.GetOperationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self.transport._wrapped_methods[self._client._transport.get_operation]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request, retry=retry, timeout=timeout, metadata=metadata,)
+
+        # Done; return the response.
+        return response
+
+    async def delete_operation(
+        self,
+        request: Optional[operations_pb2.DeleteOperationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> None:
+        r"""Deletes a long-running operation.
+
+        This method indicates that the client is no longer interested
+        in the operation result. It does not cancel the operation.
+        If the server doesn't support this method, it returns
+        `google.rpc.Code.UNIMPLEMENTED`.
+
+        Args:
+            request (:class:`~.operations_pb2.DeleteOperationRequest`):
+                The request object. Request message for
+                `DeleteOperation` method.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            None
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.DeleteOperationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self.transport._wrapped_methods[self._client._transport.delete_operation]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        await rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
+
+    async def cancel_operation(
+        self,
+        request: Optional[operations_pb2.CancelOperationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> None:
+        r"""Starts asynchronous cancellation on a long-running operation.
+
+        The server makes a best effort to cancel the operation, but success
+        is not guaranteed.  If the server doesn't support this method, it returns
+        `google.rpc.Code.UNIMPLEMENTED`.
+
+        Args:
+            request (:class:`~.operations_pb2.CancelOperationRequest`):
+                The request object. Request message for
+                `CancelOperation` method.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            None
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.CancelOperationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self.transport._wrapped_methods[self._client._transport.cancel_operation]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        await rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
+
+    async def get_location(
+        self,
+        request: Optional[locations_pb2.GetLocationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> locations_pb2.Location:
+        r"""Gets information about a location.
+
+        Args:
+            request (:class:`~.location_pb2.GetLocationRequest`):
+                The request object. Request message for
+                `GetLocation` method.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
+                 if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.location_pb2.Location:
+                Location object.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = locations_pb2.GetLocationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self.transport._wrapped_methods[self._client._transport.get_location]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request, retry=retry, timeout=timeout, metadata=metadata,)
+
+        # Done; return the response.
+        return response
+
+    async def list_locations(
+        self,
+        request: Optional[locations_pb2.ListLocationsRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> locations_pb2.ListLocationsResponse:
+        r"""Lists information about the supported locations for this service.
+
+        Args:
+            request (:class:`~.location_pb2.ListLocationsRequest`):
+                The request object. Request message for
+                `ListLocations` method.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
+                 if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.location_pb2.ListLocationsResponse:
+                Response message for ``ListLocations`` method.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = locations_pb2.ListLocationsRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self.transport._wrapped_methods[self._client._transport.list_locations]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request, retry=retry, timeout=timeout, metadata=metadata,)
+
+        # Done; return the response.
+        return response
+
+    async def __aenter__(self) -> "CatalogServiceAsyncClient":
+        return self
+
+    async def __aexit__(self, exc_type, exc, tb):
+        await self.transport.close()
+
+DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(gapic_version=package_version.__version__)
+
+
+__all__ = (
+    "CatalogServiceAsyncClient",
+)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/catalog_service/client.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/catalog_service/client.py
new file mode 100644
index 000000000000..1c5c93d92538
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/catalog_service/client.py
@@ -0,0 +1,3986 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from collections import OrderedDict
+import os
+import re
+from typing import Dict, Callable, Mapping, MutableMapping, MutableSequence, Optional, Sequence, Tuple, Type, Union, cast
+import warnings
+
+from google.cloud.dataplex_v1 import gapic_version as package_version
+
+from google.api_core import client_options as client_options_lib
+from google.api_core import exceptions as core_exceptions
+from google.api_core import gapic_v1
+from google.api_core import retry as retries
+from google.auth import credentials as ga_credentials             # type: ignore
+from google.auth.transport import mtls                            # type: ignore
+from google.auth.transport.grpc import SslCredentials             # type: ignore
+from google.auth.exceptions import MutualTLSChannelError          # type: ignore
+from google.oauth2 import service_account                         # type: ignore
+
+try:
+    OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None]
+except AttributeError:  # pragma: NO COVER
+    OptionalRetry = Union[retries.Retry, object, None]  # type: ignore
+
+from google.api_core import operation  # type: ignore
+from google.api_core import operation_async  # type: ignore
+from google.cloud.dataplex_v1.services.catalog_service import pagers
+from google.cloud.dataplex_v1.types import catalog
+from google.cloud.dataplex_v1.types import service
+from google.cloud.location import locations_pb2 # type: ignore
+from google.iam.v1 import iam_policy_pb2  # type: ignore
+from google.iam.v1 import policy_pb2  # type: ignore
+from google.longrunning import operations_pb2 # type: ignore
+from google.protobuf import empty_pb2  # type: ignore
+from google.protobuf import field_mask_pb2  # type: ignore
+from google.protobuf import timestamp_pb2  # type: ignore
+from .transports.base import CatalogServiceTransport, DEFAULT_CLIENT_INFO
+from .transports.grpc import CatalogServiceGrpcTransport
+from .transports.grpc_asyncio import CatalogServiceGrpcAsyncIOTransport
+
+
+class CatalogServiceClientMeta(type):
+    """Metaclass for the CatalogService client.
+
+    This provides class-level methods for building and retrieving
+    support objects (e.g. transport) without polluting the client instance
+    objects.
+    """
+    _transport_registry = OrderedDict()  # type: Dict[str, Type[CatalogServiceTransport]]
+    _transport_registry["grpc"] = CatalogServiceGrpcTransport
+    _transport_registry["grpc_asyncio"] = CatalogServiceGrpcAsyncIOTransport
+
+    def get_transport_class(cls,
+            label: Optional[str] = None,
+        ) -> Type[CatalogServiceTransport]:
+        """Returns an appropriate transport class.
+
+        Args:
+            label: The name of the desired transport. If none is
+                provided, then the first transport in the registry is used.
+
+        Returns:
+            The transport class to use.
+        """
+        # If a specific transport is requested, return that one.
+        if label:
+            return cls._transport_registry[label]
+
+        # No transport is requested; return the default (that is, the first one
+        # in the dictionary).
+        return next(iter(cls._transport_registry.values()))
+
+
+class CatalogServiceClient(metaclass=CatalogServiceClientMeta):
+    """The primary resources offered by this service are
+    EntryGroups, EntryTypes, AspectTypes, and Entries. They
+    collectively let data administrators organize, manage, secure,
+    and catalog data located across cloud projects in their
+    organization in a variety of storage systems, including Cloud
+    Storage and BigQuery.
+    """
+
+    @staticmethod
+    def _get_default_mtls_endpoint(api_endpoint):
+        """Converts api endpoint to mTLS endpoint.
+
+        Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to
+        "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively.
+        Args:
+            api_endpoint (Optional[str]): the api endpoint to convert.
+        Returns:
+            str: converted mTLS api endpoint.
+        """
+        if not api_endpoint:
+            return api_endpoint
+
+        mtls_endpoint_re = re.compile(
+            r"(?P<name>[^.]+)(?P<mtls>\.mtls)?(?P<sandbox>\.sandbox)?(?P<googledomain>\.googleapis\.com)?"
+        )
+
+        m = mtls_endpoint_re.match(api_endpoint)
+        name, mtls, sandbox, googledomain = m.groups()
+        if mtls or not googledomain:
+            return api_endpoint
+
+        if sandbox:
+            return api_endpoint.replace(
+                "sandbox.googleapis.com", "mtls.sandbox.googleapis.com"
+            )
+
+        return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com")
+
+    # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead.
+    DEFAULT_ENDPOINT = "dataplex.googleapis.com"
+    DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__(  # type: ignore
+        DEFAULT_ENDPOINT
+    )
+
+    _DEFAULT_ENDPOINT_TEMPLATE = "dataplex.{UNIVERSE_DOMAIN}"
+    _DEFAULT_UNIVERSE = "googleapis.com"
+
+    @classmethod
+    def from_service_account_info(cls, info: dict, *args, **kwargs):
+        """Creates an instance of this client using the provided credentials
+            info.
+
+        Args:
+            info (dict): The service account private key info.
+            args: Additional arguments to pass to the constructor.
+            kwargs: Additional arguments to pass to the constructor.
+
+        Returns:
+            CatalogServiceClient: The constructed client.
+        """
+        credentials = service_account.Credentials.from_service_account_info(info)
+        kwargs["credentials"] = credentials
+        return cls(*args, **kwargs)
+
+    @classmethod
+    def from_service_account_file(cls, filename: str, *args, **kwargs):
+        """Creates an instance of this client using the provided credentials
+            file.
+
+        Args:
+            filename (str): The path to the service account private key json
+                file.
+            args: Additional arguments to pass to the constructor.
+            kwargs: Additional arguments to pass to the constructor.
+
+        Returns:
+            CatalogServiceClient: The constructed client.
+        """
+        credentials = service_account.Credentials.from_service_account_file(
+            filename)
+        kwargs["credentials"] = credentials
+        return cls(*args, **kwargs)
+
+    from_service_account_json = from_service_account_file
+
+    @property
+    def transport(self) -> CatalogServiceTransport:
+        """Returns the transport used by the client instance.
+
+        Returns:
+            CatalogServiceTransport: The transport used by the client
+                instance.
+        """
+        return self._transport
+
+    @staticmethod
+    def aspect_type_path(project: str,location: str,aspect_type: str,) -> str:
+        """Returns a fully-qualified aspect_type string."""
+        return "projects/{project}/locations/{location}/aspectTypes/{aspect_type}".format(project=project, location=location, aspect_type=aspect_type, )
+
+    @staticmethod
+    def parse_aspect_type_path(path: str) -> Dict[str,str]:
+        """Parses a aspect_type path into its component segments."""
+        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/aspectTypes/(?P<aspect_type>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @staticmethod
+    def entry_path(project: str,location: str,entry_group: str,entry: str,) -> str:
+        """Returns a fully-qualified entry string."""
+        return "projects/{project}/locations/{location}/entryGroups/{entry_group}/entries/{entry}".format(project=project, location=location, entry_group=entry_group, entry=entry, )
+
+    @staticmethod
+    def parse_entry_path(path: str) -> Dict[str,str]:
+        """Parses a entry path into its component segments."""
+        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/entryGroups/(?P<entry_group>.+?)/entries/(?P<entry>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @staticmethod
+    def entry_group_path(project: str,location: str,entry_group: str,) -> str:
+        """Returns a fully-qualified entry_group string."""
+        return "projects/{project}/locations/{location}/entryGroups/{entry_group}".format(project=project, location=location, entry_group=entry_group, )
+
+    @staticmethod
+    def parse_entry_group_path(path: str) -> Dict[str,str]:
+        """Parses a entry_group path into its component segments."""
+        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/entryGroups/(?P<entry_group>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @staticmethod
+    def entry_type_path(project: str,location: str,entry_type: str,) -> str:
+        """Returns a fully-qualified entry_type string."""
+        return "projects/{project}/locations/{location}/entryTypes/{entry_type}".format(project=project, location=location, entry_type=entry_type, )
+
+    @staticmethod
+    def parse_entry_type_path(path: str) -> Dict[str,str]:
+        """Parses a entry_type path into its component segments."""
+        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/entryTypes/(?P<entry_type>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @staticmethod
+    def metadata_job_path(project: str,location: str,metadataJob: str,) -> str:
+        """Returns a fully-qualified metadata_job string."""
+        return "projects/{project}/locations/{location}/metadataJobs/{metadataJob}".format(project=project, location=location, metadataJob=metadataJob, )
+
+    @staticmethod
+    def parse_metadata_job_path(path: str) -> Dict[str,str]:
+        """Parses a metadata_job path into its component segments."""
+        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/metadataJobs/(?P<metadataJob>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @staticmethod
+    def common_billing_account_path(billing_account: str, ) -> str:
+        """Returns a fully-qualified billing_account string."""
+        return "billingAccounts/{billing_account}".format(billing_account=billing_account, )
+
+    @staticmethod
+    def parse_common_billing_account_path(path: str) -> Dict[str,str]:
+        """Parse a billing_account path into its component segments."""
+        m = re.match(r"^billingAccounts/(?P<billing_account>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @staticmethod
+    def common_folder_path(folder: str, ) -> str:
+        """Returns a fully-qualified folder string."""
+        return "folders/{folder}".format(folder=folder, )
+
+    @staticmethod
+    def parse_common_folder_path(path: str) -> Dict[str,str]:
+        """Parse a folder path into its component segments."""
+        m = re.match(r"^folders/(?P<folder>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @staticmethod
+    def common_organization_path(organization: str, ) -> str:
+        """Returns a fully-qualified organization string."""
+        return "organizations/{organization}".format(organization=organization, )
+
+    @staticmethod
+    def parse_common_organization_path(path: str) -> Dict[str,str]:
+        """Parse a organization path into its component segments."""
+        m = re.match(r"^organizations/(?P<organization>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @staticmethod
+    def common_project_path(project: str, ) -> str:
+        """Returns a fully-qualified project string."""
+        return "projects/{project}".format(project=project, )
+
+    @staticmethod
+    def parse_common_project_path(path: str) -> Dict[str,str]:
+        """Parse a project path into its component segments."""
+        m = re.match(r"^projects/(?P<project>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @staticmethod
+    def common_location_path(project: str, location: str, ) -> str:
+        """Returns a fully-qualified location string."""
+        return "projects/{project}/locations/{location}".format(project=project, location=location, )
+
+    @staticmethod
+    def parse_common_location_path(path: str) -> Dict[str,str]:
+        """Parse a location path into its component segments."""
+        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @classmethod
+    def get_mtls_endpoint_and_cert_source(cls, client_options: Optional[client_options_lib.ClientOptions] = None):
+        """Deprecated. Return the API endpoint and client cert source for mutual TLS.
+
+        The client cert source is determined in the following order:
+        (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the
+        client cert source is None.
+        (2) if `client_options.client_cert_source` is provided, use the provided one; if the
+        default client cert source exists, use the default one; otherwise the client cert
+        source is None.
+
+        The API endpoint is determined in the following order:
+        (1) if `client_options.api_endpoint` if provided, use the provided one.
+        (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the
+        default mTLS endpoint; if the environment variable is "never", use the default API
+        endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise
+        use the default API endpoint.
+
+        More details can be found at https://google.aip.dev/auth/4114.
+
+        Args:
+            client_options (google.api_core.client_options.ClientOptions): Custom options for the
+                client. Only the `api_endpoint` and `client_cert_source` properties may be used
+                in this method.
+
+        Returns:
+            Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the
+                client cert source to use.
+
+        Raises:
+            google.auth.exceptions.MutualTLSChannelError: If any errors happen.
+        """
+
+        warnings.warn("get_mtls_endpoint_and_cert_source is deprecated. Use the api_endpoint property instead.",
+            DeprecationWarning)
+        if client_options is None:
+            client_options = client_options_lib.ClientOptions()
+        use_client_cert = os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false")
+        use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto")
+        if use_client_cert not in ("true", "false"):
+            raise ValueError("Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`")
+        if use_mtls_endpoint not in ("auto", "never", "always"):
+            raise MutualTLSChannelError("Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`")
+
+        # Figure out the client cert source to use.
+        client_cert_source = None
+        if use_client_cert == "true":
+            if client_options.client_cert_source:
+                client_cert_source = client_options.client_cert_source
+            elif mtls.has_default_client_cert_source():
+                client_cert_source = mtls.default_client_cert_source()
+
+        # Figure out which api endpoint to use.
+        if client_options.api_endpoint is not None:
+            api_endpoint = client_options.api_endpoint
+        elif use_mtls_endpoint == "always" or (use_mtls_endpoint == "auto" and client_cert_source):
+            api_endpoint = cls.DEFAULT_MTLS_ENDPOINT
+        else:
+            api_endpoint = cls.DEFAULT_ENDPOINT
+
+        return api_endpoint, client_cert_source
+
+    @staticmethod
+    def _read_environment_variables():
+        """Returns the environment variables used by the client.
+
+        Returns:
+            Tuple[bool, str, str]: returns the GOOGLE_API_USE_CLIENT_CERTIFICATE,
+            GOOGLE_API_USE_MTLS_ENDPOINT, and GOOGLE_CLOUD_UNIVERSE_DOMAIN environment variables.
+
+        Raises:
+            ValueError: If GOOGLE_API_USE_CLIENT_CERTIFICATE is not
+                any of ["true", "false"].
+            google.auth.exceptions.MutualTLSChannelError: If GOOGLE_API_USE_MTLS_ENDPOINT
+                is not any of ["auto", "never", "always"].
+        """
+        use_client_cert = os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false").lower()
+        use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto").lower()
+        universe_domain_env = os.getenv("GOOGLE_CLOUD_UNIVERSE_DOMAIN")
+        if use_client_cert not in ("true", "false"):
+            raise ValueError("Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`")
+        if use_mtls_endpoint not in ("auto", "never", "always"):
+            raise MutualTLSChannelError("Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`")
+        return use_client_cert == "true", use_mtls_endpoint, universe_domain_env
+
+    @staticmethod
+    def _get_client_cert_source(provided_cert_source, use_cert_flag):
+        """Return the client cert source to be used by the client.
+
+        Args:
+            provided_cert_source (bytes): The client certificate source provided.
+            use_cert_flag (bool): A flag indicating whether to use the client certificate.
+
+        Returns:
+            bytes or None: The client cert source to be used by the client.
+        """
+        client_cert_source = None
+        if use_cert_flag:
+            if provided_cert_source:
+                client_cert_source = provided_cert_source
+            elif mtls.has_default_client_cert_source():
+                client_cert_source = mtls.default_client_cert_source()
+        return client_cert_source
+
+    @staticmethod
+    def _get_api_endpoint(api_override, client_cert_source, universe_domain, use_mtls_endpoint):
+        """Return the API endpoint used by the client.
+
+        Args:
+            api_override (str): The API endpoint override. If specified, this is always
+                the return value of this function and the other arguments are not used.
+            client_cert_source (bytes): The client certificate source used by the client.
+            universe_domain (str): The universe domain used by the client.
+            use_mtls_endpoint (str): How to use the mTLS endpoint, which depends also on the other parameters.
+                Possible values are "always", "auto", or "never".
+
+        Returns:
+            str: The API endpoint to be used by the client.
+        """
+        if api_override is not None:
+            api_endpoint = api_override
+        elif use_mtls_endpoint == "always" or (use_mtls_endpoint == "auto" and client_cert_source):
+            _default_universe = CatalogServiceClient._DEFAULT_UNIVERSE
+            if universe_domain != _default_universe:
+                raise MutualTLSChannelError(f"mTLS is not supported in any universe other than {_default_universe}.")
+            api_endpoint = CatalogServiceClient.DEFAULT_MTLS_ENDPOINT
+        else:
+            api_endpoint = CatalogServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=universe_domain)
+        return api_endpoint
+
+    @staticmethod
+    def _get_universe_domain(client_universe_domain: Optional[str], universe_domain_env: Optional[str]) -> str:
+        """Return the universe domain used by the client.
+
+        Args:
+            client_universe_domain (Optional[str]): The universe domain configured via the client options.
+            universe_domain_env (Optional[str]): The universe domain configured via the "GOOGLE_CLOUD_UNIVERSE_DOMAIN" environment variable.
+
+        Returns:
+            str: The universe domain to be used by the client.
+
+        Raises:
+            ValueError: If the universe domain is an empty string.
+        """
+        universe_domain = CatalogServiceClient._DEFAULT_UNIVERSE
+        if client_universe_domain is not None:
+            universe_domain = client_universe_domain
+        elif universe_domain_env is not None:
+            universe_domain = universe_domain_env
+        if len(universe_domain.strip()) == 0:
+            raise ValueError("Universe Domain cannot be an empty string.")
+        return universe_domain
+
+    def _validate_universe_domain(self):
+        """Validates client's and credentials' universe domains are consistent.
+
+        Returns:
+            bool: True iff the configured universe domain is valid.
+
+        Raises:
+            ValueError: If the configured universe domain is not valid.
+        """
+
+        # NOTE (b/349488459): universe validation is disabled until further notice.
+        return True
+
+    @property
+    def api_endpoint(self):
+        """Return the API endpoint used by the client instance.
+
+        Returns:
+            str: The API endpoint used by the client instance.
+        """
+        return self._api_endpoint
+
+    @property
+    def universe_domain(self) -> str:
+        """Return the universe domain used by the client instance.
+
+        Returns:
+            str: The universe domain used by the client instance.
+        """
+        return self._universe_domain
+
+    def __init__(self, *,
+            credentials: Optional[ga_credentials.Credentials] = None,
+            transport: Optional[Union[str, CatalogServiceTransport, Callable[..., CatalogServiceTransport]]] = None,
+            client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None,
+            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
+            ) -> None:
+        """Instantiates the catalog service client.
+
+        Args:
+            credentials (Optional[google.auth.credentials.Credentials]): The
+                authorization credentials to attach to requests. These
+                credentials identify the application to the service; if none
+                are specified, the client will attempt to ascertain the
+                credentials from the environment.
+            transport (Optional[Union[str,CatalogServiceTransport,Callable[..., CatalogServiceTransport]]]):
+                The transport to use, or a Callable that constructs and returns a new transport.
+                If a Callable is given, it will be called with the same set of initialization
+                arguments as used in the CatalogServiceTransport constructor.
+                If set to None, a transport is chosen automatically.
+            client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]):
+                Custom options for the client.
+
+                1. The ``api_endpoint`` property can be used to override the
+                default endpoint provided by the client when ``transport`` is
+                not explicitly provided. Only if this property is not set and
+                ``transport`` was not explicitly provided, the endpoint is
+                determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment
+                variable, which have one of the following values:
+                "always" (always use the default mTLS endpoint), "never" (always
+                use the default regular endpoint) and "auto" (auto-switch to the
+                default mTLS endpoint if client certificate is present; this is
+                the default value).
+
+                2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable
+                is "true", then the ``client_cert_source`` property can be used
+                to provide a client certificate for mTLS transport. If
+                not provided, the default SSL client certificate will be used if
+                present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not
+                set, no client certificate will be used.
+
+                3. The ``universe_domain`` property can be used to override the
+                default "googleapis.com" universe. Note that the ``api_endpoint``
+                property still takes precedence; and ``universe_domain`` is
+                currently not supported for mTLS.
+
+            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
+                The client info used to send a user-agent string along with
+                API requests. If ``None``, then default info will be used.
+                Generally, you only need to set this if you're developing
+                your own client library.
+
+        Raises:
+            google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport
+                creation failed for any reason.
+        """
+        self._client_options = client_options
+        if isinstance(self._client_options, dict):
+            self._client_options = client_options_lib.from_dict(self._client_options)
+        if self._client_options is None:
+            self._client_options = client_options_lib.ClientOptions()
+        self._client_options = cast(client_options_lib.ClientOptions, self._client_options)
+
+        universe_domain_opt = getattr(self._client_options, 'universe_domain', None)
+
+        self._use_client_cert, self._use_mtls_endpoint, self._universe_domain_env = CatalogServiceClient._read_environment_variables()
+        self._client_cert_source = CatalogServiceClient._get_client_cert_source(self._client_options.client_cert_source, self._use_client_cert)
+        self._universe_domain = CatalogServiceClient._get_universe_domain(universe_domain_opt, self._universe_domain_env)
+        self._api_endpoint = None # updated below, depending on `transport`
+
+        # Initialize the universe domain validation.
+        self._is_universe_domain_valid = False
+
+        api_key_value = getattr(self._client_options, "api_key", None)
+        if api_key_value and credentials:
+            raise ValueError("client_options.api_key and credentials are mutually exclusive")
+
+        # Save or instantiate the transport.
+        # Ordinarily, we provide the transport, but allowing a custom transport
+        # instance provides an extensibility point for unusual situations.
+        transport_provided = isinstance(transport, CatalogServiceTransport)
+        if transport_provided:
+            # transport is a CatalogServiceTransport instance.
+            if credentials or self._client_options.credentials_file or api_key_value:
+                raise ValueError("When providing a transport instance, "
+                                 "provide its credentials directly.")
+            if self._client_options.scopes:
+                raise ValueError(
+                    "When providing a transport instance, provide its scopes "
+                    "directly."
+                )
+            self._transport = cast(CatalogServiceTransport, transport)
+            self._api_endpoint = self._transport.host
+
+        self._api_endpoint = (self._api_endpoint or
+            CatalogServiceClient._get_api_endpoint(
+                self._client_options.api_endpoint,
+                self._client_cert_source,
+                self._universe_domain,
+                self._use_mtls_endpoint))
+
+        if not transport_provided:
+            import google.auth._default  # type: ignore
+
+            if api_key_value and hasattr(google.auth._default, "get_api_key_credentials"):
+                credentials = google.auth._default.get_api_key_credentials(api_key_value)
+
+            transport_init: Union[Type[CatalogServiceTransport], Callable[..., CatalogServiceTransport]] = (
+                CatalogServiceClient.get_transport_class(transport)
+                if isinstance(transport, str) or transport is None
+                else cast(Callable[..., CatalogServiceTransport], transport)
+            )
+            # initialize with the provided callable or the passed in class
+            self._transport = transport_init(
+                credentials=credentials,
+                credentials_file=self._client_options.credentials_file,
+                host=self._api_endpoint,
+                scopes=self._client_options.scopes,
+                client_cert_source_for_mtls=self._client_cert_source,
+                quota_project_id=self._client_options.quota_project_id,
+                client_info=client_info,
+                always_use_jwt_access=True,
+                api_audience=self._client_options.api_audience,
+            )
+
+    def create_entry_type(self,
+            request: Optional[Union[catalog.CreateEntryTypeRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            entry_type: Optional[catalog.EntryType] = None,
+            entry_type_id: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation.Operation:
+        r"""Creates an EntryType.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_create_entry_type():
+                # Create a client
+                client = dataplex_v1.CatalogServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.CreateEntryTypeRequest(
+                    parent="parent_value",
+                    entry_type_id="entry_type_id_value",
+                )
+
+                # Make the request
+                operation = client.create_entry_type(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = operation.result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.CreateEntryTypeRequest, dict]):
+                The request object. Create EntryType Request.
+            parent (str):
+                Required. The resource name of the EntryType, of the
+                form: projects/{project_number}/locations/{location_id}
+                where ``location_id`` refers to a Google Cloud region.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            entry_type (google.cloud.dataplex_v1.types.EntryType):
+                Required. EntryType Resource.
+                This corresponds to the ``entry_type`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            entry_type_id (str):
+                Required. EntryType identifier.
+                This corresponds to the ``entry_type_id`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation.Operation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be
+                :class:`google.cloud.dataplex_v1.types.EntryType` Entry
+                Type is a template for creating Entries.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent, entry_type, entry_type_id])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.CreateEntryTypeRequest):
+            request = catalog.CreateEntryTypeRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if parent is not None:
+                request.parent = parent
+            if entry_type is not None:
+                request.entry_type = entry_type
+            if entry_type_id is not None:
+                request.entry_type_id = entry_type_id
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.create_entry_type]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation.from_gapic(
+            response,
+            self._transport.operations_client,
+            catalog.EntryType,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def update_entry_type(self,
+            request: Optional[Union[catalog.UpdateEntryTypeRequest, dict]] = None,
+            *,
+            entry_type: Optional[catalog.EntryType] = None,
+            update_mask: Optional[field_mask_pb2.FieldMask] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation.Operation:
+        r"""Updates an EntryType.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_update_entry_type():
+                # Create a client
+                client = dataplex_v1.CatalogServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.UpdateEntryTypeRequest(
+                )
+
+                # Make the request
+                operation = client.update_entry_type(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = operation.result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.UpdateEntryTypeRequest, dict]):
+                The request object. Update EntryType Request.
+            entry_type (google.cloud.dataplex_v1.types.EntryType):
+                Required. EntryType Resource.
+                This corresponds to the ``entry_type`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            update_mask (google.protobuf.field_mask_pb2.FieldMask):
+                Required. Mask of fields to update.
+                This corresponds to the ``update_mask`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation.Operation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be
+                :class:`google.cloud.dataplex_v1.types.EntryType` Entry
+                Type is a template for creating Entries.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([entry_type, update_mask])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.UpdateEntryTypeRequest):
+            request = catalog.UpdateEntryTypeRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if entry_type is not None:
+                request.entry_type = entry_type
+            if update_mask is not None:
+                request.update_mask = update_mask
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.update_entry_type]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("entry_type.name", request.entry_type.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation.from_gapic(
+            response,
+            self._transport.operations_client,
+            catalog.EntryType,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def delete_entry_type(self,
+            request: Optional[Union[catalog.DeleteEntryTypeRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation.Operation:
+        r"""Deletes an EntryType.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_delete_entry_type():
+                # Create a client
+                client = dataplex_v1.CatalogServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.DeleteEntryTypeRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                operation = client.delete_entry_type(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = operation.result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.DeleteEntryTypeRequest, dict]):
+                The request object. Delele EntryType Request.
+            name (str):
+                Required. The resource name of the EntryType:
+                ``projects/{project_number}/locations/{location_id}/entryTypes/{entry_type_id}``.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation.Operation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
+                   empty messages in your APIs. A typical example is to
+                   use it as the request or the response type of an API
+                   method. For instance:
+
+                      service Foo {
+                         rpc Bar(google.protobuf.Empty) returns
+                         (google.protobuf.Empty);
+
+                      }
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.DeleteEntryTypeRequest):
+            request = catalog.DeleteEntryTypeRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if name is not None:
+                request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.delete_entry_type]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation.from_gapic(
+            response,
+            self._transport.operations_client,
+            empty_pb2.Empty,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def list_entry_types(self,
+            request: Optional[Union[catalog.ListEntryTypesRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> pagers.ListEntryTypesPager:
+        r"""Lists EntryType resources in a project and location.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_list_entry_types():
+                # Create a client
+                client = dataplex_v1.CatalogServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.ListEntryTypesRequest(
+                    parent="parent_value",
+                )
+
+                # Make the request
+                page_result = client.list_entry_types(request=request)
+
+                # Handle the response
+                for response in page_result:
+                    print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.ListEntryTypesRequest, dict]):
+                The request object. List EntryTypes request
+            parent (str):
+                Required. The resource name of the EntryType location,
+                of the form:
+                ``projects/{project_number}/locations/{location_id}``
+                where ``location_id`` refers to a Google Cloud region.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.services.catalog_service.pagers.ListEntryTypesPager:
+                List EntryTypes response.
+
+                Iterating over this object will yield
+                results and resolve additional pages
+                automatically.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.ListEntryTypesRequest):
+            request = catalog.ListEntryTypesRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if parent is not None:
+                request.parent = parent
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.list_entry_types]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # This method is paged; wrap the response in a pager, which provides
+        # an `__iter__` convenience method.
+        response = pagers.ListEntryTypesPager(
+            method=rpc,
+            request=request,
+            response=response,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def get_entry_type(self,
+            request: Optional[Union[catalog.GetEntryTypeRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> catalog.EntryType:
+        r"""Gets an EntryType.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_get_entry_type():
+                # Create a client
+                client = dataplex_v1.CatalogServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.GetEntryTypeRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                response = client.get_entry_type(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.GetEntryTypeRequest, dict]):
+                The request object. Get EntryType request.
+            name (str):
+                Required. The resource name of the EntryType:
+                ``projects/{project_number}/locations/{location_id}/entryTypes/{entry_type_id}``.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.EntryType:
+                Entry Type is a template for creating
+                Entries.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.GetEntryTypeRequest):
+            request = catalog.GetEntryTypeRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if name is not None:
+                request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.get_entry_type]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def create_aspect_type(self,
+            request: Optional[Union[catalog.CreateAspectTypeRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            aspect_type: Optional[catalog.AspectType] = None,
+            aspect_type_id: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation.Operation:
+        r"""Creates an AspectType.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_create_aspect_type():
+                # Create a client
+                client = dataplex_v1.CatalogServiceClient()
+
+                # Initialize request argument(s)
+                aspect_type = dataplex_v1.AspectType()
+                aspect_type.metadata_template.name = "name_value"
+                aspect_type.metadata_template.type_ = "type__value"
+
+                request = dataplex_v1.CreateAspectTypeRequest(
+                    parent="parent_value",
+                    aspect_type_id="aspect_type_id_value",
+                    aspect_type=aspect_type,
+                )
+
+                # Make the request
+                operation = client.create_aspect_type(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = operation.result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.CreateAspectTypeRequest, dict]):
+                The request object. Create AspectType Request.
+            parent (str):
+                Required. The resource name of the AspectType, of the
+                form: projects/{project_number}/locations/{location_id}
+                where ``location_id`` refers to a Google Cloud region.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            aspect_type (google.cloud.dataplex_v1.types.AspectType):
+                Required. AspectType Resource.
+                This corresponds to the ``aspect_type`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            aspect_type_id (str):
+                Required. AspectType identifier.
+                This corresponds to the ``aspect_type_id`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation.Operation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.AspectType` AspectType is a template for creating Aspects, and represents the
+                   JSON-schema for a given Entry, for example, BigQuery
+                   Table Schema.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent, aspect_type, aspect_type_id])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.CreateAspectTypeRequest):
+            request = catalog.CreateAspectTypeRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if parent is not None:
+                request.parent = parent
+            if aspect_type is not None:
+                request.aspect_type = aspect_type
+            if aspect_type_id is not None:
+                request.aspect_type_id = aspect_type_id
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.create_aspect_type]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation.from_gapic(
+            response,
+            self._transport.operations_client,
+            catalog.AspectType,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def update_aspect_type(self,
+            request: Optional[Union[catalog.UpdateAspectTypeRequest, dict]] = None,
+            *,
+            aspect_type: Optional[catalog.AspectType] = None,
+            update_mask: Optional[field_mask_pb2.FieldMask] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation.Operation:
+        r"""Updates an AspectType.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_update_aspect_type():
+                # Create a client
+                client = dataplex_v1.CatalogServiceClient()
+
+                # Initialize request argument(s)
+                aspect_type = dataplex_v1.AspectType()
+                aspect_type.metadata_template.name = "name_value"
+                aspect_type.metadata_template.type_ = "type__value"
+
+                request = dataplex_v1.UpdateAspectTypeRequest(
+                    aspect_type=aspect_type,
+                )
+
+                # Make the request
+                operation = client.update_aspect_type(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = operation.result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.UpdateAspectTypeRequest, dict]):
+                The request object. Update AspectType Request
+            aspect_type (google.cloud.dataplex_v1.types.AspectType):
+                Required. AspectType Resource
+                This corresponds to the ``aspect_type`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            update_mask (google.protobuf.field_mask_pb2.FieldMask):
+                Required. Mask of fields to update.
+                This corresponds to the ``update_mask`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation.Operation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.AspectType` AspectType is a template for creating Aspects, and represents the
+                   JSON-schema for a given Entry, for example, BigQuery
+                   Table Schema.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([aspect_type, update_mask])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.UpdateAspectTypeRequest):
+            request = catalog.UpdateAspectTypeRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if aspect_type is not None:
+                request.aspect_type = aspect_type
+            if update_mask is not None:
+                request.update_mask = update_mask
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.update_aspect_type]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("aspect_type.name", request.aspect_type.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation.from_gapic(
+            response,
+            self._transport.operations_client,
+            catalog.AspectType,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def delete_aspect_type(self,
+            request: Optional[Union[catalog.DeleteAspectTypeRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation.Operation:
+        r"""Deletes an AspectType.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_delete_aspect_type():
+                # Create a client
+                client = dataplex_v1.CatalogServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.DeleteAspectTypeRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                operation = client.delete_aspect_type(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = operation.result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.DeleteAspectTypeRequest, dict]):
+                The request object. Delele AspectType Request.
+            name (str):
+                Required. The resource name of the AspectType:
+                ``projects/{project_number}/locations/{location_id}/aspectTypes/{aspect_type_id}``.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation.Operation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
+                   empty messages in your APIs. A typical example is to
+                   use it as the request or the response type of an API
+                   method. For instance:
+
+                      service Foo {
+                         rpc Bar(google.protobuf.Empty) returns
+                         (google.protobuf.Empty);
+
+                      }
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.DeleteAspectTypeRequest):
+            request = catalog.DeleteAspectTypeRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if name is not None:
+                request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.delete_aspect_type]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation.from_gapic(
+            response,
+            self._transport.operations_client,
+            empty_pb2.Empty,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def list_aspect_types(self,
+            request: Optional[Union[catalog.ListAspectTypesRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> pagers.ListAspectTypesPager:
+        r"""Lists AspectType resources in a project and location.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_list_aspect_types():
+                # Create a client
+                client = dataplex_v1.CatalogServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.ListAspectTypesRequest(
+                    parent="parent_value",
+                )
+
+                # Make the request
+                page_result = client.list_aspect_types(request=request)
+
+                # Handle the response
+                for response in page_result:
+                    print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.ListAspectTypesRequest, dict]):
+                The request object. List AspectTypes request.
+            parent (str):
+                Required. The resource name of the AspectType location,
+                of the form:
+                ``projects/{project_number}/locations/{location_id}``
+                where ``location_id`` refers to a Google Cloud region.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.services.catalog_service.pagers.ListAspectTypesPager:
+                List AspectTypes response.
+
+                Iterating over this object will yield
+                results and resolve additional pages
+                automatically.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.ListAspectTypesRequest):
+            request = catalog.ListAspectTypesRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if parent is not None:
+                request.parent = parent
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.list_aspect_types]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # This method is paged; wrap the response in a pager, which provides
+        # an `__iter__` convenience method.
+        response = pagers.ListAspectTypesPager(
+            method=rpc,
+            request=request,
+            response=response,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def get_aspect_type(self,
+            request: Optional[Union[catalog.GetAspectTypeRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> catalog.AspectType:
+        r"""Gets an AspectType.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_get_aspect_type():
+                # Create a client
+                client = dataplex_v1.CatalogServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.GetAspectTypeRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                response = client.get_aspect_type(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.GetAspectTypeRequest, dict]):
+                The request object. Get AspectType request.
+            name (str):
+                Required. The resource name of the AspectType:
+                ``projects/{project_number}/locations/{location_id}/aspectTypes/{aspect_type_id}``.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.AspectType:
+                AspectType is a template for creating
+                Aspects, and represents the JSON-schema
+                for a given Entry, for example, BigQuery
+                Table Schema.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.GetAspectTypeRequest):
+            request = catalog.GetAspectTypeRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if name is not None:
+                request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.get_aspect_type]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def create_entry_group(self,
+            request: Optional[Union[catalog.CreateEntryGroupRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            entry_group: Optional[catalog.EntryGroup] = None,
+            entry_group_id: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation.Operation:
+        r"""Creates an EntryGroup.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_create_entry_group():
+                # Create a client
+                client = dataplex_v1.CatalogServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.CreateEntryGroupRequest(
+                    parent="parent_value",
+                    entry_group_id="entry_group_id_value",
+                )
+
+                # Make the request
+                operation = client.create_entry_group(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = operation.result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.CreateEntryGroupRequest, dict]):
+                The request object. Create EntryGroup Request.
+            parent (str):
+                Required. The resource name of the entryGroup, of the
+                form: projects/{project_number}/locations/{location_id}
+                where ``location_id`` refers to a GCP region.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            entry_group (google.cloud.dataplex_v1.types.EntryGroup):
+                Required. EntryGroup Resource.
+                This corresponds to the ``entry_group`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            entry_group_id (str):
+                Required. EntryGroup identifier.
+                This corresponds to the ``entry_group_id`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation.Operation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be
+                :class:`google.cloud.dataplex_v1.types.EntryGroup` An
+                Entry Group represents a logical grouping of one or more
+                Entries.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent, entry_group, entry_group_id])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.CreateEntryGroupRequest):
+            request = catalog.CreateEntryGroupRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if parent is not None:
+                request.parent = parent
+            if entry_group is not None:
+                request.entry_group = entry_group
+            if entry_group_id is not None:
+                request.entry_group_id = entry_group_id
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.create_entry_group]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation.from_gapic(
+            response,
+            self._transport.operations_client,
+            catalog.EntryGroup,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def update_entry_group(self,
+            request: Optional[Union[catalog.UpdateEntryGroupRequest, dict]] = None,
+            *,
+            entry_group: Optional[catalog.EntryGroup] = None,
+            update_mask: Optional[field_mask_pb2.FieldMask] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation.Operation:
+        r"""Updates an EntryGroup.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_update_entry_group():
+                # Create a client
+                client = dataplex_v1.CatalogServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.UpdateEntryGroupRequest(
+                )
+
+                # Make the request
+                operation = client.update_entry_group(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = operation.result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.UpdateEntryGroupRequest, dict]):
+                The request object. Update EntryGroup Request.
+            entry_group (google.cloud.dataplex_v1.types.EntryGroup):
+                Required. EntryGroup Resource.
+                This corresponds to the ``entry_group`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            update_mask (google.protobuf.field_mask_pb2.FieldMask):
+                Required. Mask of fields to update.
+                This corresponds to the ``update_mask`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation.Operation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be
+                :class:`google.cloud.dataplex_v1.types.EntryGroup` An
+                Entry Group represents a logical grouping of one or more
+                Entries.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([entry_group, update_mask])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.UpdateEntryGroupRequest):
+            request = catalog.UpdateEntryGroupRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if entry_group is not None:
+                request.entry_group = entry_group
+            if update_mask is not None:
+                request.update_mask = update_mask
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.update_entry_group]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("entry_group.name", request.entry_group.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation.from_gapic(
+            response,
+            self._transport.operations_client,
+            catalog.EntryGroup,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def delete_entry_group(self,
+            request: Optional[Union[catalog.DeleteEntryGroupRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation.Operation:
+        r"""Deletes an EntryGroup.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_delete_entry_group():
+                # Create a client
+                client = dataplex_v1.CatalogServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.DeleteEntryGroupRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                operation = client.delete_entry_group(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = operation.result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.DeleteEntryGroupRequest, dict]):
+                The request object. Delete EntryGroup Request.
+            name (str):
+                Required. The resource name of the EntryGroup:
+                ``projects/{project_number}/locations/{location_id}/entryGroups/{entry_group_id}``.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation.Operation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
+                   empty messages in your APIs. A typical example is to
+                   use it as the request or the response type of an API
+                   method. For instance:
+
+                      service Foo {
+                         rpc Bar(google.protobuf.Empty) returns
+                         (google.protobuf.Empty);
+
+                      }
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.DeleteEntryGroupRequest):
+            request = catalog.DeleteEntryGroupRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if name is not None:
+                request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.delete_entry_group]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation.from_gapic(
+            response,
+            self._transport.operations_client,
+            empty_pb2.Empty,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def list_entry_groups(self,
+            request: Optional[Union[catalog.ListEntryGroupsRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> pagers.ListEntryGroupsPager:
+        r"""Lists EntryGroup resources in a project and location.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_list_entry_groups():
+                # Create a client
+                client = dataplex_v1.CatalogServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.ListEntryGroupsRequest(
+                    parent="parent_value",
+                )
+
+                # Make the request
+                page_result = client.list_entry_groups(request=request)
+
+                # Handle the response
+                for response in page_result:
+                    print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.ListEntryGroupsRequest, dict]):
+                The request object. List entryGroups request.
+            parent (str):
+                Required. The resource name of the entryGroup location,
+                of the form:
+                ``projects/{project_number}/locations/{location_id}``
+                where ``location_id`` refers to a Google Cloud region.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.services.catalog_service.pagers.ListEntryGroupsPager:
+                List entry groups response.
+
+                Iterating over this object will yield
+                results and resolve additional pages
+                automatically.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.ListEntryGroupsRequest):
+            request = catalog.ListEntryGroupsRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if parent is not None:
+                request.parent = parent
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.list_entry_groups]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # This method is paged; wrap the response in a pager, which provides
+        # an `__iter__` convenience method.
+        response = pagers.ListEntryGroupsPager(
+            method=rpc,
+            request=request,
+            response=response,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def get_entry_group(self,
+            request: Optional[Union[catalog.GetEntryGroupRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> catalog.EntryGroup:
+        r"""Gets an EntryGroup.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_get_entry_group():
+                # Create a client
+                client = dataplex_v1.CatalogServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.GetEntryGroupRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                response = client.get_entry_group(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.GetEntryGroupRequest, dict]):
+                The request object. Get EntryGroup request.
+            name (str):
+                Required. The resource name of the EntryGroup:
+                ``projects/{project_number}/locations/{location_id}/entryGroups/{entry_group_id}``.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.EntryGroup:
+                An Entry Group represents a logical
+                grouping of one or more Entries.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.GetEntryGroupRequest):
+            request = catalog.GetEntryGroupRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if name is not None:
+                request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.get_entry_group]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def create_entry(self,
+            request: Optional[Union[catalog.CreateEntryRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            entry: Optional[catalog.Entry] = None,
+            entry_id: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> catalog.Entry:
+        r"""Creates an Entry.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_create_entry():
+                # Create a client
+                client = dataplex_v1.CatalogServiceClient()
+
+                # Initialize request argument(s)
+                entry = dataplex_v1.Entry()
+                entry.entry_type = "entry_type_value"
+
+                request = dataplex_v1.CreateEntryRequest(
+                    parent="parent_value",
+                    entry_id="entry_id_value",
+                    entry=entry,
+                )
+
+                # Make the request
+                response = client.create_entry(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.CreateEntryRequest, dict]):
+                The request object. Create Entry request.
+            parent (str):
+                Required. The resource name of the parent Entry Group:
+                ``projects/{project}/locations/{location}/entryGroups/{entry_group}``.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            entry (google.cloud.dataplex_v1.types.Entry):
+                Required. Entry resource.
+                This corresponds to the ``entry`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            entry_id (str):
+                Required. Entry identifier. It has to be unique within
+                an Entry Group.
+
+                Entries corresponding to Google Cloud resources use an
+                Entry ID format based on `full resource
+                names <https://cloud.google.com/apis/design/resource_names#full_resource_name>`__.
+                The format is a full resource name of the resource
+                without the prefix double slashes in the API service
+                name part of the full resource name. This allows
+                retrieval of entries using their associated resource
+                name.
+
+                For example, if the full resource name of a resource is
+                ``//library.googleapis.com/shelves/shelf1/books/book2``,
+                then the suggested entry_id is
+                ``library.googleapis.com/shelves/shelf1/books/book2``.
+
+                It is also suggested to follow the same convention for
+                entries corresponding to resources from providers or
+                systems other than Google Cloud.
+
+                The maximum size of the field is 4000 characters.
+
+                This corresponds to the ``entry_id`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.Entry:
+                An entry is a representation of a
+                data resource that can be described by
+                various metadata.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent, entry, entry_id])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.CreateEntryRequest):
+            request = catalog.CreateEntryRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if parent is not None:
+                request.parent = parent
+            if entry is not None:
+                request.entry = entry
+            if entry_id is not None:
+                request.entry_id = entry_id
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.create_entry]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def update_entry(self,
+            request: Optional[Union[catalog.UpdateEntryRequest, dict]] = None,
+            *,
+            entry: Optional[catalog.Entry] = None,
+            update_mask: Optional[field_mask_pb2.FieldMask] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> catalog.Entry:
+        r"""Updates an Entry.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_update_entry():
+                # Create a client
+                client = dataplex_v1.CatalogServiceClient()
+
+                # Initialize request argument(s)
+                entry = dataplex_v1.Entry()
+                entry.entry_type = "entry_type_value"
+
+                request = dataplex_v1.UpdateEntryRequest(
+                    entry=entry,
+                )
+
+                # Make the request
+                response = client.update_entry(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.UpdateEntryRequest, dict]):
+                The request object. Update Entry request.
+            entry (google.cloud.dataplex_v1.types.Entry):
+                Required. Entry resource.
+                This corresponds to the ``entry`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            update_mask (google.protobuf.field_mask_pb2.FieldMask):
+                Optional. Mask of fields to update. To update Aspects,
+                the update_mask must contain the value "aspects".
+
+                If the update_mask is empty, the service will update all
+                modifiable fields present in the request.
+
+                This corresponds to the ``update_mask`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.Entry:
+                An entry is a representation of a
+                data resource that can be described by
+                various metadata.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([entry, update_mask])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.UpdateEntryRequest):
+            request = catalog.UpdateEntryRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if entry is not None:
+                request.entry = entry
+            if update_mask is not None:
+                request.update_mask = update_mask
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.update_entry]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("entry.name", request.entry.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def delete_entry(self,
+            request: Optional[Union[catalog.DeleteEntryRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> catalog.Entry:
+        r"""Deletes an Entry.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_delete_entry():
+                # Create a client
+                client = dataplex_v1.CatalogServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.DeleteEntryRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                response = client.delete_entry(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.DeleteEntryRequest, dict]):
+                The request object. Delete Entry request.
+            name (str):
+                Required. The resource name of the Entry:
+                ``projects/{project}/locations/{location}/entryGroups/{entry_group}/entries/{entry}``.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.Entry:
+                An entry is a representation of a
+                data resource that can be described by
+                various metadata.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.DeleteEntryRequest):
+            request = catalog.DeleteEntryRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if name is not None:
+                request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.delete_entry]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def list_entries(self,
+            request: Optional[Union[catalog.ListEntriesRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> pagers.ListEntriesPager:
+        r"""Lists Entries within an EntryGroup.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_list_entries():
+                # Create a client
+                client = dataplex_v1.CatalogServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.ListEntriesRequest(
+                    parent="parent_value",
+                )
+
+                # Make the request
+                page_result = client.list_entries(request=request)
+
+                # Handle the response
+                for response in page_result:
+                    print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.ListEntriesRequest, dict]):
+                The request object. List Entries request.
+            parent (str):
+                Required. The resource name of the parent Entry Group:
+                ``projects/{project}/locations/{location}/entryGroups/{entry_group}``.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.services.catalog_service.pagers.ListEntriesPager:
+                List Entries response.
+
+                Iterating over this object will yield
+                results and resolve additional pages
+                automatically.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.ListEntriesRequest):
+            request = catalog.ListEntriesRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if parent is not None:
+                request.parent = parent
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.list_entries]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # This method is paged; wrap the response in a pager, which provides
+        # an `__iter__` convenience method.
+        response = pagers.ListEntriesPager(
+            method=rpc,
+            request=request,
+            response=response,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def get_entry(self,
+            request: Optional[Union[catalog.GetEntryRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> catalog.Entry:
+        r"""Gets an Entry.
+
+        **Caution**: The BigQuery metadata that is stored in Dataplex
+        Catalog is changing. For more information, see `Changes to
+        BigQuery metadata stored in Dataplex
+        Catalog <https://cloud.google.com/dataplex/docs/biqquery-metadata-changes>`__.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_get_entry():
+                # Create a client
+                client = dataplex_v1.CatalogServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.GetEntryRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                response = client.get_entry(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.GetEntryRequest, dict]):
+                The request object. Get Entry request.
+            name (str):
+                Required. The resource name of the Entry:
+                ``projects/{project}/locations/{location}/entryGroups/{entry_group}/entries/{entry}``.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.Entry:
+                An entry is a representation of a
+                data resource that can be described by
+                various metadata.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.GetEntryRequest):
+            request = catalog.GetEntryRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if name is not None:
+                request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.get_entry]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def lookup_entry(self,
+            request: Optional[Union[catalog.LookupEntryRequest, dict]] = None,
+            *,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> catalog.Entry:
+        r"""Looks up a single Entry by name using the permission on the
+        source system.
+
+        **Caution**: The BigQuery metadata that is stored in Dataplex
+        Catalog is changing. For more information, see `Changes to
+        BigQuery metadata stored in Dataplex
+        Catalog <https://cloud.google.com/dataplex/docs/biqquery-metadata-changes>`__.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_lookup_entry():
+                # Create a client
+                client = dataplex_v1.CatalogServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.LookupEntryRequest(
+                    name="name_value",
+                    entry="entry_value",
+                )
+
+                # Make the request
+                response = client.lookup_entry(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.LookupEntryRequest, dict]):
+                The request object. Lookup Entry request using
+                permissions in the source system.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.Entry:
+                An entry is a representation of a
+                data resource that can be described by
+                various metadata.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.LookupEntryRequest):
+            request = catalog.LookupEntryRequest(request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.lookup_entry]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def search_entries(self,
+            request: Optional[Union[catalog.SearchEntriesRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            query: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> pagers.SearchEntriesPager:
+        r"""Searches for Entries matching the given query and
+        scope.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_search_entries():
+                # Create a client
+                client = dataplex_v1.CatalogServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.SearchEntriesRequest(
+                    name="name_value",
+                    query="query_value",
+                )
+
+                # Make the request
+                page_result = client.search_entries(request=request)
+
+                # Handle the response
+                for response in page_result:
+                    print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.SearchEntriesRequest, dict]):
+                The request object.
+            name (str):
+                Required. The project to which the request should be
+                attributed in the following form:
+                ``projects/{project}/locations/{location}``.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            query (str):
+                Required. The query against which
+                entries in scope should be matched.
+
+                This corresponds to the ``query`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.services.catalog_service.pagers.SearchEntriesPager:
+                Iterating over this object will yield
+                results and resolve additional pages
+                automatically.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name, query])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.SearchEntriesRequest):
+            request = catalog.SearchEntriesRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if name is not None:
+                request.name = name
+            if query is not None:
+                request.query = query
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.search_entries]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # This method is paged; wrap the response in a pager, which provides
+        # an `__iter__` convenience method.
+        response = pagers.SearchEntriesPager(
+            method=rpc,
+            request=request,
+            response=response,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def create_metadata_job(self,
+            request: Optional[Union[catalog.CreateMetadataJobRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            metadata_job: Optional[catalog.MetadataJob] = None,
+            metadata_job_id: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation.Operation:
+        r"""Creates a metadata job. For example, use a metadata
+        job to import Dataplex Catalog entries and aspects from
+        a third-party system into Dataplex.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_create_metadata_job():
+                # Create a client
+                client = dataplex_v1.CatalogServiceClient()
+
+                # Initialize request argument(s)
+                metadata_job = dataplex_v1.MetadataJob()
+                metadata_job.import_spec.scope.entry_groups = ['entry_groups_value1', 'entry_groups_value2']
+                metadata_job.import_spec.scope.entry_types = ['entry_types_value1', 'entry_types_value2']
+                metadata_job.import_spec.entry_sync_mode = "INCREMENTAL"
+                metadata_job.import_spec.aspect_sync_mode = "INCREMENTAL"
+                metadata_job.type_ = "IMPORT"
+
+                request = dataplex_v1.CreateMetadataJobRequest(
+                    parent="parent_value",
+                    metadata_job=metadata_job,
+                )
+
+                # Make the request
+                operation = client.create_metadata_job(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = operation.result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.CreateMetadataJobRequest, dict]):
+                The request object. Create metadata job request.
+            parent (str):
+                Required. The resource name of the parent location, in
+                the format
+                ``projects/{project_id_or_number}/locations/{location_id}``
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            metadata_job (google.cloud.dataplex_v1.types.MetadataJob):
+                Required. The metadata job resource.
+                This corresponds to the ``metadata_job`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            metadata_job_id (str):
+                Optional. The metadata job ID. If not provided, a unique
+                ID is generated with the prefix ``metadata-job-``.
+
+                This corresponds to the ``metadata_job_id`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation.Operation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be
+                :class:`google.cloud.dataplex_v1.types.MetadataJob` A
+                metadata job resource.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent, metadata_job, metadata_job_id])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.CreateMetadataJobRequest):
+            request = catalog.CreateMetadataJobRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if parent is not None:
+                request.parent = parent
+            if metadata_job is not None:
+                request.metadata_job = metadata_job
+            if metadata_job_id is not None:
+                request.metadata_job_id = metadata_job_id
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.create_metadata_job]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation.from_gapic(
+            response,
+            self._transport.operations_client,
+            catalog.MetadataJob,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def get_metadata_job(self,
+            request: Optional[Union[catalog.GetMetadataJobRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> catalog.MetadataJob:
+        r"""Gets a metadata job.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_get_metadata_job():
+                # Create a client
+                client = dataplex_v1.CatalogServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.GetMetadataJobRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                response = client.get_metadata_job(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.GetMetadataJobRequest, dict]):
+                The request object. Get metadata job request.
+            name (str):
+                Required. The resource name of the metadata job, in the
+                format
+                ``projects/{project_id_or_number}/locations/{location_id}/metadataJobs/{metadata_job_id}``.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.MetadataJob:
+                A metadata job resource.
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.GetMetadataJobRequest):
+            request = catalog.GetMetadataJobRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if name is not None:
+                request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.get_metadata_job]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def list_metadata_jobs(self,
+            request: Optional[Union[catalog.ListMetadataJobsRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> pagers.ListMetadataJobsPager:
+        r"""Lists metadata jobs.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_list_metadata_jobs():
+                # Create a client
+                client = dataplex_v1.CatalogServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.ListMetadataJobsRequest(
+                    parent="parent_value",
+                )
+
+                # Make the request
+                page_result = client.list_metadata_jobs(request=request)
+
+                # Handle the response
+                for response in page_result:
+                    print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.ListMetadataJobsRequest, dict]):
+                The request object. List metadata jobs request.
+            parent (str):
+                Required. The resource name of the parent location, in
+                the format
+                ``projects/{project_id_or_number}/locations/{location_id}``
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.services.catalog_service.pagers.ListMetadataJobsPager:
+                List metadata jobs response.
+
+                Iterating over this object will yield
+                results and resolve additional pages
+                automatically.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.ListMetadataJobsRequest):
+            request = catalog.ListMetadataJobsRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if parent is not None:
+                request.parent = parent
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.list_metadata_jobs]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # This method is paged; wrap the response in a pager, which provides
+        # an `__iter__` convenience method.
+        response = pagers.ListMetadataJobsPager(
+            method=rpc,
+            request=request,
+            response=response,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def cancel_metadata_job(self,
+            request: Optional[Union[catalog.CancelMetadataJobRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> None:
+        r"""Cancels a metadata job.
+
+        If you cancel a metadata import job that is in progress,
+        the changes in the job might be partially applied. We
+        recommend that you reset the state of the entry groups
+        in your project by running another metadata job that
+        reverts the changes from the canceled job.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_cancel_metadata_job():
+                # Create a client
+                client = dataplex_v1.CatalogServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.CancelMetadataJobRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                client.cancel_metadata_job(request=request)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.CancelMetadataJobRequest, dict]):
+                The request object. Cancel metadata job request.
+            name (str):
+                Required. The resource name of the job, in the format
+                ``projects/{project_id_or_number}/locations/{location_id}/metadataJobs/{metadata_job_id}``
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.CancelMetadataJobRequest):
+            request = catalog.CancelMetadataJobRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if name is not None:
+                request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.cancel_metadata_job]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+    def __enter__(self) -> "CatalogServiceClient":
+        return self
+
+    def __exit__(self, type, value, traceback):
+        """Releases underlying transport's resources.
+
+        .. warning::
+            ONLY use as a context manager if the transport is NOT shared
+            with other clients! Exiting the with block will CLOSE the transport
+            and may cause errors in other clients!
+        """
+        self.transport.close()
+
+    def list_operations(
+        self,
+        request: Optional[operations_pb2.ListOperationsRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> operations_pb2.ListOperationsResponse:
+        r"""Lists operations that match the specified filter in the request.
+
+        Args:
+            request (:class:`~.operations_pb2.ListOperationsRequest`):
+                The request object. Request message for
+                `ListOperations` method.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.operations_pb2.ListOperationsResponse:
+                Response message for ``ListOperations`` method.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.ListOperationsRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.list_operations]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request, retry=retry, timeout=timeout, metadata=metadata,)
+
+        # Done; return the response.
+        return response
+
+    def get_operation(
+        self,
+        request: Optional[operations_pb2.GetOperationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> operations_pb2.Operation:
+        r"""Gets the latest state of a long-running operation.
+
+        Args:
+            request (:class:`~.operations_pb2.GetOperationRequest`):
+                The request object. Request message for
+                `GetOperation` method.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.operations_pb2.Operation:
+                An ``Operation`` object.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.GetOperationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.get_operation]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request, retry=retry, timeout=timeout, metadata=metadata,)
+
+        # Done; return the response.
+        return response
+
+    def delete_operation(
+        self,
+        request: Optional[operations_pb2.DeleteOperationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> None:
+        r"""Deletes a long-running operation.
+
+        This method indicates that the client is no longer interested
+        in the operation result. It does not cancel the operation.
+        If the server doesn't support this method, it returns
+        `google.rpc.Code.UNIMPLEMENTED`.
+
+        Args:
+            request (:class:`~.operations_pb2.DeleteOperationRequest`):
+                The request object. Request message for
+                `DeleteOperation` method.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            None
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.DeleteOperationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.delete_operation]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
+
+    def cancel_operation(
+        self,
+        request: Optional[operations_pb2.CancelOperationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> None:
+        r"""Starts asynchronous cancellation on a long-running operation.
+
+        The server makes a best effort to cancel the operation, but success
+        is not guaranteed.  If the server doesn't support this method, it returns
+        `google.rpc.Code.UNIMPLEMENTED`.
+
+        Args:
+            request (:class:`~.operations_pb2.CancelOperationRequest`):
+                The request object. Request message for
+                `CancelOperation` method.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            None
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.CancelOperationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.cancel_operation]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
+
+    def get_location(
+        self,
+        request: Optional[locations_pb2.GetLocationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> locations_pb2.Location:
+        r"""Gets information about a location.
+
+        Args:
+            request (:class:`~.location_pb2.GetLocationRequest`):
+                The request object. Request message for
+                `GetLocation` method.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                 if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.location_pb2.Location:
+                Location object.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = locations_pb2.GetLocationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.get_location]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request, retry=retry, timeout=timeout, metadata=metadata,)
+
+        # Done; return the response.
+        return response
+
+    def list_locations(
+        self,
+        request: Optional[locations_pb2.ListLocationsRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> locations_pb2.ListLocationsResponse:
+        r"""Lists information about the supported locations for this service.
+
+        Args:
+            request (:class:`~.location_pb2.ListLocationsRequest`):
+                The request object. Request message for
+                `ListLocations` method.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                 if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.location_pb2.ListLocationsResponse:
+                Response message for ``ListLocations`` method.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = locations_pb2.ListLocationsRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.list_locations]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request, retry=retry, timeout=timeout, metadata=metadata,)
+
+        # Done; return the response.
+        return response
+
+
+DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(gapic_version=package_version.__version__)
+
+
+__all__ = (
+    "CatalogServiceClient",
+)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/catalog_service/pagers.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/catalog_service/pagers.py
new file mode 100644
index 000000000000..224b831f513a
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/catalog_service/pagers.py
@@ -0,0 +1,837 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from google.api_core import gapic_v1
+from google.api_core import retry as retries
+from google.api_core import retry_async as retries_async
+from typing import Any, AsyncIterator, Awaitable, Callable, Sequence, Tuple, Optional, Iterator, Union
+try:
+    OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None]
+    OptionalAsyncRetry = Union[retries_async.AsyncRetry, gapic_v1.method._MethodDefault, None]
+except AttributeError:  # pragma: NO COVER
+    OptionalRetry = Union[retries.Retry, object, None]  # type: ignore
+    OptionalAsyncRetry = Union[retries_async.AsyncRetry, object, None]  # type: ignore
+
+from google.cloud.dataplex_v1.types import catalog
+
+
+class ListEntryTypesPager:
+    """A pager for iterating through ``list_entry_types`` requests.
+
+    This class thinly wraps an initial
+    :class:`google.cloud.dataplex_v1.types.ListEntryTypesResponse` object, and
+    provides an ``__iter__`` method to iterate through its
+    ``entry_types`` field.
+
+    If there are more pages, the ``__iter__`` method will make additional
+    ``ListEntryTypes`` requests and continue to iterate
+    through the ``entry_types`` field on the
+    corresponding responses.
+
+    All the usual :class:`google.cloud.dataplex_v1.types.ListEntryTypesResponse`
+    attributes are available on the pager. If multiple requests are made, only
+    the most recent response is retained, and thus used for attribute lookup.
+    """
+    def __init__(self,
+            method: Callable[..., catalog.ListEntryTypesResponse],
+            request: catalog.ListEntryTypesRequest,
+            response: catalog.ListEntryTypesResponse,
+            *,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = ()):
+        """Instantiate the pager.
+
+        Args:
+            method (Callable): The method that was originally called, and
+                which instantiated this pager.
+            request (google.cloud.dataplex_v1.types.ListEntryTypesRequest):
+                The initial request object.
+            response (google.cloud.dataplex_v1.types.ListEntryTypesResponse):
+                The initial response object.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        self._method = method
+        self._request = catalog.ListEntryTypesRequest(request)
+        self._response = response
+        self._retry = retry
+        self._timeout = timeout
+        self._metadata = metadata
+
+    def __getattr__(self, name: str) -> Any:
+        return getattr(self._response, name)
+
+    @property
+    def pages(self) -> Iterator[catalog.ListEntryTypesResponse]:
+        yield self._response
+        while self._response.next_page_token:
+            self._request.page_token = self._response.next_page_token
+            self._response = self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
+            yield self._response
+
+    def __iter__(self) -> Iterator[catalog.EntryType]:
+        for page in self.pages:
+            yield from page.entry_types
+
+    def __repr__(self) -> str:
+        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
+
+
+class ListEntryTypesAsyncPager:
+    """A pager for iterating through ``list_entry_types`` requests.
+
+    This class thinly wraps an initial
+    :class:`google.cloud.dataplex_v1.types.ListEntryTypesResponse` object, and
+    provides an ``__aiter__`` method to iterate through its
+    ``entry_types`` field.
+
+    If there are more pages, the ``__aiter__`` method will make additional
+    ``ListEntryTypes`` requests and continue to iterate
+    through the ``entry_types`` field on the
+    corresponding responses.
+
+    All the usual :class:`google.cloud.dataplex_v1.types.ListEntryTypesResponse`
+    attributes are available on the pager. If multiple requests are made, only
+    the most recent response is retained, and thus used for attribute lookup.
+    """
+    def __init__(self,
+            method: Callable[..., Awaitable[catalog.ListEntryTypesResponse]],
+            request: catalog.ListEntryTypesRequest,
+            response: catalog.ListEntryTypesResponse,
+            *,
+            retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = ()):
+        """Instantiates the pager.
+
+        Args:
+            method (Callable): The method that was originally called, and
+                which instantiated this pager.
+            request (google.cloud.dataplex_v1.types.ListEntryTypesRequest):
+                The initial request object.
+            response (google.cloud.dataplex_v1.types.ListEntryTypesResponse):
+                The initial response object.
+            retry (google.api_core.retry.AsyncRetry): Designation of what errors,
+                if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        self._method = method
+        self._request = catalog.ListEntryTypesRequest(request)
+        self._response = response
+        self._retry = retry
+        self._timeout = timeout
+        self._metadata = metadata
+
+    def __getattr__(self, name: str) -> Any:
+        return getattr(self._response, name)
+
+    @property
+    async def pages(self) -> AsyncIterator[catalog.ListEntryTypesResponse]:
+        yield self._response
+        while self._response.next_page_token:
+            self._request.page_token = self._response.next_page_token
+            self._response = await self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
+            yield self._response
+    def __aiter__(self) -> AsyncIterator[catalog.EntryType]:
+        async def async_generator():
+            async for page in self.pages:
+                for response in page.entry_types:
+                    yield response
+
+        return async_generator()
+
+    def __repr__(self) -> str:
+        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
+
+
+class ListAspectTypesPager:
+    """A pager for iterating through ``list_aspect_types`` requests.
+
+    This class thinly wraps an initial
+    :class:`google.cloud.dataplex_v1.types.ListAspectTypesResponse` object, and
+    provides an ``__iter__`` method to iterate through its
+    ``aspect_types`` field.
+
+    If there are more pages, the ``__iter__`` method will make additional
+    ``ListAspectTypes`` requests and continue to iterate
+    through the ``aspect_types`` field on the
+    corresponding responses.
+
+    All the usual :class:`google.cloud.dataplex_v1.types.ListAspectTypesResponse`
+    attributes are available on the pager. If multiple requests are made, only
+    the most recent response is retained, and thus used for attribute lookup.
+    """
+    def __init__(self,
+            method: Callable[..., catalog.ListAspectTypesResponse],
+            request: catalog.ListAspectTypesRequest,
+            response: catalog.ListAspectTypesResponse,
+            *,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = ()):
+        """Instantiate the pager.
+
+        Args:
+            method (Callable): The method that was originally called, and
+                which instantiated this pager.
+            request (google.cloud.dataplex_v1.types.ListAspectTypesRequest):
+                The initial request object.
+            response (google.cloud.dataplex_v1.types.ListAspectTypesResponse):
+                The initial response object.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        self._method = method
+        self._request = catalog.ListAspectTypesRequest(request)
+        self._response = response
+        self._retry = retry
+        self._timeout = timeout
+        self._metadata = metadata
+
+    def __getattr__(self, name: str) -> Any:
+        return getattr(self._response, name)
+
+    @property
+    def pages(self) -> Iterator[catalog.ListAspectTypesResponse]:
+        yield self._response
+        while self._response.next_page_token:
+            self._request.page_token = self._response.next_page_token
+            self._response = self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
+            yield self._response
+
+    def __iter__(self) -> Iterator[catalog.AspectType]:
+        for page in self.pages:
+            yield from page.aspect_types
+
+    def __repr__(self) -> str:
+        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
+
+
+class ListAspectTypesAsyncPager:
+    """A pager for iterating through ``list_aspect_types`` requests.
+
+    This class thinly wraps an initial
+    :class:`google.cloud.dataplex_v1.types.ListAspectTypesResponse` object, and
+    provides an ``__aiter__`` method to iterate through its
+    ``aspect_types`` field.
+
+    If there are more pages, the ``__aiter__`` method will make additional
+    ``ListAspectTypes`` requests and continue to iterate
+    through the ``aspect_types`` field on the
+    corresponding responses.
+
+    All the usual :class:`google.cloud.dataplex_v1.types.ListAspectTypesResponse`
+    attributes are available on the pager. If multiple requests are made, only
+    the most recent response is retained, and thus used for attribute lookup.
+    """
+    def __init__(self,
+            method: Callable[..., Awaitable[catalog.ListAspectTypesResponse]],
+            request: catalog.ListAspectTypesRequest,
+            response: catalog.ListAspectTypesResponse,
+            *,
+            retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = ()):
+        """Instantiates the pager.
+
+        Args:
+            method (Callable): The method that was originally called, and
+                which instantiated this pager.
+            request (google.cloud.dataplex_v1.types.ListAspectTypesRequest):
+                The initial request object.
+            response (google.cloud.dataplex_v1.types.ListAspectTypesResponse):
+                The initial response object.
+            retry (google.api_core.retry.AsyncRetry): Designation of what errors,
+                if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        self._method = method
+        self._request = catalog.ListAspectTypesRequest(request)
+        self._response = response
+        self._retry = retry
+        self._timeout = timeout
+        self._metadata = metadata
+
+    def __getattr__(self, name: str) -> Any:
+        return getattr(self._response, name)
+
+    @property
+    async def pages(self) -> AsyncIterator[catalog.ListAspectTypesResponse]:
+        yield self._response
+        while self._response.next_page_token:
+            self._request.page_token = self._response.next_page_token
+            self._response = await self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
+            yield self._response
+    def __aiter__(self) -> AsyncIterator[catalog.AspectType]:
+        async def async_generator():
+            async for page in self.pages:
+                for response in page.aspect_types:
+                    yield response
+
+        return async_generator()
+
+    def __repr__(self) -> str:
+        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
+
+
+class ListEntryGroupsPager:
+    """A pager for iterating through ``list_entry_groups`` requests.
+
+    This class thinly wraps an initial
+    :class:`google.cloud.dataplex_v1.types.ListEntryGroupsResponse` object, and
+    provides an ``__iter__`` method to iterate through its
+    ``entry_groups`` field.
+
+    If there are more pages, the ``__iter__`` method will make additional
+    ``ListEntryGroups`` requests and continue to iterate
+    through the ``entry_groups`` field on the
+    corresponding responses.
+
+    All the usual :class:`google.cloud.dataplex_v1.types.ListEntryGroupsResponse`
+    attributes are available on the pager. If multiple requests are made, only
+    the most recent response is retained, and thus used for attribute lookup.
+    """
+    def __init__(self,
+            method: Callable[..., catalog.ListEntryGroupsResponse],
+            request: catalog.ListEntryGroupsRequest,
+            response: catalog.ListEntryGroupsResponse,
+            *,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = ()):
+        """Instantiate the pager.
+
+        Args:
+            method (Callable): The method that was originally called, and
+                which instantiated this pager.
+            request (google.cloud.dataplex_v1.types.ListEntryGroupsRequest):
+                The initial request object.
+            response (google.cloud.dataplex_v1.types.ListEntryGroupsResponse):
+                The initial response object.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        self._method = method
+        self._request = catalog.ListEntryGroupsRequest(request)
+        self._response = response
+        self._retry = retry
+        self._timeout = timeout
+        self._metadata = metadata
+
+    def __getattr__(self, name: str) -> Any:
+        return getattr(self._response, name)
+
+    @property
+    def pages(self) -> Iterator[catalog.ListEntryGroupsResponse]:
+        yield self._response
+        while self._response.next_page_token:
+            self._request.page_token = self._response.next_page_token
+            self._response = self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
+            yield self._response
+
+    def __iter__(self) -> Iterator[catalog.EntryGroup]:
+        for page in self.pages:
+            yield from page.entry_groups
+
+    def __repr__(self) -> str:
+        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
+
+
+class ListEntryGroupsAsyncPager:
+    """A pager for iterating through ``list_entry_groups`` requests.
+
+    This class thinly wraps an initial
+    :class:`google.cloud.dataplex_v1.types.ListEntryGroupsResponse` object, and
+    provides an ``__aiter__`` method to iterate through its
+    ``entry_groups`` field.
+
+    If there are more pages, the ``__aiter__`` method will make additional
+    ``ListEntryGroups`` requests and continue to iterate
+    through the ``entry_groups`` field on the
+    corresponding responses.
+
+    All the usual :class:`google.cloud.dataplex_v1.types.ListEntryGroupsResponse`
+    attributes are available on the pager. If multiple requests are made, only
+    the most recent response is retained, and thus used for attribute lookup.
+    """
+    def __init__(self,
+            method: Callable[..., Awaitable[catalog.ListEntryGroupsResponse]],
+            request: catalog.ListEntryGroupsRequest,
+            response: catalog.ListEntryGroupsResponse,
+            *,
+            retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = ()):
+        """Instantiates the pager.
+
+        Args:
+            method (Callable): The method that was originally called, and
+                which instantiated this pager.
+            request (google.cloud.dataplex_v1.types.ListEntryGroupsRequest):
+                The initial request object.
+            response (google.cloud.dataplex_v1.types.ListEntryGroupsResponse):
+                The initial response object.
+            retry (google.api_core.retry.AsyncRetry): Designation of what errors,
+                if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        self._method = method
+        self._request = catalog.ListEntryGroupsRequest(request)
+        self._response = response
+        self._retry = retry
+        self._timeout = timeout
+        self._metadata = metadata
+
+    def __getattr__(self, name: str) -> Any:
+        return getattr(self._response, name)
+
+    @property
+    async def pages(self) -> AsyncIterator[catalog.ListEntryGroupsResponse]:
+        yield self._response
+        while self._response.next_page_token:
+            self._request.page_token = self._response.next_page_token
+            self._response = await self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
+            yield self._response
+    def __aiter__(self) -> AsyncIterator[catalog.EntryGroup]:
+        async def async_generator():
+            async for page in self.pages:
+                for response in page.entry_groups:
+                    yield response
+
+        return async_generator()
+
+    def __repr__(self) -> str:
+        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
+
+
+class ListEntriesPager:
+    """A pager for iterating through ``list_entries`` requests.
+
+    This class thinly wraps an initial
+    :class:`google.cloud.dataplex_v1.types.ListEntriesResponse` object, and
+    provides an ``__iter__`` method to iterate through its
+    ``entries`` field.
+
+    If there are more pages, the ``__iter__`` method will make additional
+    ``ListEntries`` requests and continue to iterate
+    through the ``entries`` field on the
+    corresponding responses.
+
+    All the usual :class:`google.cloud.dataplex_v1.types.ListEntriesResponse`
+    attributes are available on the pager. If multiple requests are made, only
+    the most recent response is retained, and thus used for attribute lookup.
+    """
+    def __init__(self,
+            method: Callable[..., catalog.ListEntriesResponse],
+            request: catalog.ListEntriesRequest,
+            response: catalog.ListEntriesResponse,
+            *,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = ()):
+        """Instantiate the pager.
+
+        Args:
+            method (Callable): The method that was originally called, and
+                which instantiated this pager.
+            request (google.cloud.dataplex_v1.types.ListEntriesRequest):
+                The initial request object.
+            response (google.cloud.dataplex_v1.types.ListEntriesResponse):
+                The initial response object.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        self._method = method
+        self._request = catalog.ListEntriesRequest(request)
+        self._response = response
+        self._retry = retry
+        self._timeout = timeout
+        self._metadata = metadata
+
+    def __getattr__(self, name: str) -> Any:
+        return getattr(self._response, name)
+
+    @property
+    def pages(self) -> Iterator[catalog.ListEntriesResponse]:
+        yield self._response
+        while self._response.next_page_token:
+            self._request.page_token = self._response.next_page_token
+            self._response = self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
+            yield self._response
+
+    def __iter__(self) -> Iterator[catalog.Entry]:
+        for page in self.pages:
+            yield from page.entries
+
+    def __repr__(self) -> str:
+        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
+
+
+class ListEntriesAsyncPager:
+    """A pager for iterating through ``list_entries`` requests.
+
+    This class thinly wraps an initial
+    :class:`google.cloud.dataplex_v1.types.ListEntriesResponse` object, and
+    provides an ``__aiter__`` method to iterate through its
+    ``entries`` field.
+
+    If there are more pages, the ``__aiter__`` method will make additional
+    ``ListEntries`` requests and continue to iterate
+    through the ``entries`` field on the
+    corresponding responses.
+
+    All the usual :class:`google.cloud.dataplex_v1.types.ListEntriesResponse`
+    attributes are available on the pager. If multiple requests are made, only
+    the most recent response is retained, and thus used for attribute lookup.
+    """
+    def __init__(self,
+            method: Callable[..., Awaitable[catalog.ListEntriesResponse]],
+            request: catalog.ListEntriesRequest,
+            response: catalog.ListEntriesResponse,
+            *,
+            retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = ()):
+        """Instantiates the pager.
+
+        Args:
+            method (Callable): The method that was originally called, and
+                which instantiated this pager.
+            request (google.cloud.dataplex_v1.types.ListEntriesRequest):
+                The initial request object.
+            response (google.cloud.dataplex_v1.types.ListEntriesResponse):
+                The initial response object.
+            retry (google.api_core.retry.AsyncRetry): Designation of what errors,
+                if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        self._method = method
+        self._request = catalog.ListEntriesRequest(request)
+        self._response = response
+        self._retry = retry
+        self._timeout = timeout
+        self._metadata = metadata
+
+    def __getattr__(self, name: str) -> Any:
+        return getattr(self._response, name)
+
+    @property
+    async def pages(self) -> AsyncIterator[catalog.ListEntriesResponse]:
+        yield self._response
+        while self._response.next_page_token:
+            self._request.page_token = self._response.next_page_token
+            self._response = await self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
+            yield self._response
+    def __aiter__(self) -> AsyncIterator[catalog.Entry]:
+        async def async_generator():
+            async for page in self.pages:
+                for response in page.entries:
+                    yield response
+
+        return async_generator()
+
+    def __repr__(self) -> str:
+        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
+
+
+class SearchEntriesPager:
+    """A pager for iterating through ``search_entries`` requests.
+
+    This class thinly wraps an initial
+    :class:`google.cloud.dataplex_v1.types.SearchEntriesResponse` object, and
+    provides an ``__iter__`` method to iterate through its
+    ``results`` field.
+
+    If there are more pages, the ``__iter__`` method will make additional
+    ``SearchEntries`` requests and continue to iterate
+    through the ``results`` field on the
+    corresponding responses.
+
+    All the usual :class:`google.cloud.dataplex_v1.types.SearchEntriesResponse`
+    attributes are available on the pager. If multiple requests are made, only
+    the most recent response is retained, and thus used for attribute lookup.
+    """
+    def __init__(self,
+            method: Callable[..., catalog.SearchEntriesResponse],
+            request: catalog.SearchEntriesRequest,
+            response: catalog.SearchEntriesResponse,
+            *,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = ()):
+        """Instantiate the pager.
+
+        Args:
+            method (Callable): The method that was originally called, and
+                which instantiated this pager.
+            request (google.cloud.dataplex_v1.types.SearchEntriesRequest):
+                The initial request object.
+            response (google.cloud.dataplex_v1.types.SearchEntriesResponse):
+                The initial response object.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        self._method = method
+        self._request = catalog.SearchEntriesRequest(request)
+        self._response = response
+        self._retry = retry
+        self._timeout = timeout
+        self._metadata = metadata
+
+    def __getattr__(self, name: str) -> Any:
+        return getattr(self._response, name)
+
+    @property
+    def pages(self) -> Iterator[catalog.SearchEntriesResponse]:
+        yield self._response
+        while self._response.next_page_token:
+            self._request.page_token = self._response.next_page_token
+            self._response = self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
+            yield self._response
+
+    def __iter__(self) -> Iterator[catalog.SearchEntriesResult]:
+        for page in self.pages:
+            yield from page.results
+
+    def __repr__(self) -> str:
+        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
+
+
+class SearchEntriesAsyncPager:
+    """A pager for iterating through ``search_entries`` requests.
+
+    This class thinly wraps an initial
+    :class:`google.cloud.dataplex_v1.types.SearchEntriesResponse` object, and
+    provides an ``__aiter__`` method to iterate through its
+    ``results`` field.
+
+    If there are more pages, the ``__aiter__`` method will make additional
+    ``SearchEntries`` requests and continue to iterate
+    through the ``results`` field on the
+    corresponding responses.
+
+    All the usual :class:`google.cloud.dataplex_v1.types.SearchEntriesResponse`
+    attributes are available on the pager. If multiple requests are made, only
+    the most recent response is retained, and thus used for attribute lookup.
+    """
+    def __init__(self,
+            method: Callable[..., Awaitable[catalog.SearchEntriesResponse]],
+            request: catalog.SearchEntriesRequest,
+            response: catalog.SearchEntriesResponse,
+            *,
+            retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = ()):
+        """Instantiates the pager.
+
+        Args:
+            method (Callable): The method that was originally called, and
+                which instantiated this pager.
+            request (google.cloud.dataplex_v1.types.SearchEntriesRequest):
+                The initial request object.
+            response (google.cloud.dataplex_v1.types.SearchEntriesResponse):
+                The initial response object.
+            retry (google.api_core.retry.AsyncRetry): Designation of what errors,
+                if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        self._method = method
+        self._request = catalog.SearchEntriesRequest(request)
+        self._response = response
+        self._retry = retry
+        self._timeout = timeout
+        self._metadata = metadata
+
+    def __getattr__(self, name: str) -> Any:
+        return getattr(self._response, name)
+
+    @property
+    async def pages(self) -> AsyncIterator[catalog.SearchEntriesResponse]:
+        yield self._response
+        while self._response.next_page_token:
+            self._request.page_token = self._response.next_page_token
+            self._response = await self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
+            yield self._response
+    def __aiter__(self) -> AsyncIterator[catalog.SearchEntriesResult]:
+        async def async_generator():
+            async for page in self.pages:
+                for response in page.results:
+                    yield response
+
+        return async_generator()
+
+    def __repr__(self) -> str:
+        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
+
+
+class ListMetadataJobsPager:
+    """A pager for iterating through ``list_metadata_jobs`` requests.
+
+    This class thinly wraps an initial
+    :class:`google.cloud.dataplex_v1.types.ListMetadataJobsResponse` object, and
+    provides an ``__iter__`` method to iterate through its
+    ``metadata_jobs`` field.
+
+    If there are more pages, the ``__iter__`` method will make additional
+    ``ListMetadataJobs`` requests and continue to iterate
+    through the ``metadata_jobs`` field on the
+    corresponding responses.
+
+    All the usual :class:`google.cloud.dataplex_v1.types.ListMetadataJobsResponse`
+    attributes are available on the pager. If multiple requests are made, only
+    the most recent response is retained, and thus used for attribute lookup.
+    """
+    def __init__(self,
+            method: Callable[..., catalog.ListMetadataJobsResponse],
+            request: catalog.ListMetadataJobsRequest,
+            response: catalog.ListMetadataJobsResponse,
+            *,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = ()):
+        """Instantiate the pager.
+
+        Args:
+            method (Callable): The method that was originally called, and
+                which instantiated this pager.
+            request (google.cloud.dataplex_v1.types.ListMetadataJobsRequest):
+                The initial request object.
+            response (google.cloud.dataplex_v1.types.ListMetadataJobsResponse):
+                The initial response object.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        self._method = method
+        self._request = catalog.ListMetadataJobsRequest(request)
+        self._response = response
+        self._retry = retry
+        self._timeout = timeout
+        self._metadata = metadata
+
+    def __getattr__(self, name: str) -> Any:
+        return getattr(self._response, name)
+
+    @property
+    def pages(self) -> Iterator[catalog.ListMetadataJobsResponse]:
+        yield self._response
+        while self._response.next_page_token:
+            self._request.page_token = self._response.next_page_token
+            self._response = self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
+            yield self._response
+
+    def __iter__(self) -> Iterator[catalog.MetadataJob]:
+        for page in self.pages:
+            yield from page.metadata_jobs
+
+    def __repr__(self) -> str:
+        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
+
+
+class ListMetadataJobsAsyncPager:
+    """A pager for iterating through ``list_metadata_jobs`` requests.
+
+    This class thinly wraps an initial
+    :class:`google.cloud.dataplex_v1.types.ListMetadataJobsResponse` object, and
+    provides an ``__aiter__`` method to iterate through its
+    ``metadata_jobs`` field.
+
+    If there are more pages, the ``__aiter__`` method will make additional
+    ``ListMetadataJobs`` requests and continue to iterate
+    through the ``metadata_jobs`` field on the
+    corresponding responses.
+
+    All the usual :class:`google.cloud.dataplex_v1.types.ListMetadataJobsResponse`
+    attributes are available on the pager. If multiple requests are made, only
+    the most recent response is retained, and thus used for attribute lookup.
+    """
+    def __init__(self,
+            method: Callable[..., Awaitable[catalog.ListMetadataJobsResponse]],
+            request: catalog.ListMetadataJobsRequest,
+            response: catalog.ListMetadataJobsResponse,
+            *,
+            retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = ()):
+        """Instantiates the pager.
+
+        Args:
+            method (Callable): The method that was originally called, and
+                which instantiated this pager.
+            request (google.cloud.dataplex_v1.types.ListMetadataJobsRequest):
+                The initial request object.
+            response (google.cloud.dataplex_v1.types.ListMetadataJobsResponse):
+                The initial response object.
+            retry (google.api_core.retry.AsyncRetry): Designation of what errors,
+                if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        self._method = method
+        self._request = catalog.ListMetadataJobsRequest(request)
+        self._response = response
+        self._retry = retry
+        self._timeout = timeout
+        self._metadata = metadata
+
+    def __getattr__(self, name: str) -> Any:
+        return getattr(self._response, name)
+
+    @property
+    async def pages(self) -> AsyncIterator[catalog.ListMetadataJobsResponse]:
+        yield self._response
+        while self._response.next_page_token:
+            self._request.page_token = self._response.next_page_token
+            self._response = await self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
+            yield self._response
+    def __aiter__(self) -> AsyncIterator[catalog.MetadataJob]:
+        async def async_generator():
+            async for page in self.pages:
+                for response in page.metadata_jobs:
+                    yield response
+
+        return async_generator()
+
+    def __repr__(self) -> str:
+        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/catalog_service/transports/README.rst b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/catalog_service/transports/README.rst
new file mode 100644
index 000000000000..c14dcbeef235
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/catalog_service/transports/README.rst
@@ -0,0 +1,9 @@
+
+transport inheritance structure
+_______________________________
+
+`CatalogServiceTransport` is the ABC for all transports.
+- public child `CatalogServiceGrpcTransport` for sync gRPC transport (defined in `grpc.py`).
+- public child `CatalogServiceGrpcAsyncIOTransport` for async gRPC transport (defined in `grpc_asyncio.py`).
+- private child `_BaseCatalogServiceRestTransport` for base REST transport with inner classes `_BaseMETHOD` (defined in `rest_base.py`).
+- public child `CatalogServiceRestTransport` for sync REST transport with inner classes `METHOD` derived from the parent's corresponding `_BaseMETHOD` classes (defined in `rest.py`).
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/catalog_service/transports/__init__.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/catalog_service/transports/__init__.py
new file mode 100644
index 000000000000..7e6b046ff29f
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/catalog_service/transports/__init__.py
@@ -0,0 +1,33 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from collections import OrderedDict
+from typing import Dict, Type
+
+from .base import CatalogServiceTransport
+from .grpc import CatalogServiceGrpcTransport
+from .grpc_asyncio import CatalogServiceGrpcAsyncIOTransport
+
+
+# Compile a registry of transports.
+_transport_registry = OrderedDict()  # type: Dict[str, Type[CatalogServiceTransport]]
+_transport_registry['grpc'] = CatalogServiceGrpcTransport
+_transport_registry['grpc_asyncio'] = CatalogServiceGrpcAsyncIOTransport
+
+__all__ = (
+    'CatalogServiceTransport',
+    'CatalogServiceGrpcTransport',
+    'CatalogServiceGrpcAsyncIOTransport',
+)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/catalog_service/transports/base.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/catalog_service/transports/base.py
new file mode 100644
index 000000000000..dc0255a4f11a
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/catalog_service/transports/base.py
@@ -0,0 +1,707 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+import abc
+from typing import Awaitable, Callable, Dict, Optional, Sequence, Union
+
+from google.cloud.dataplex_v1 import gapic_version as package_version
+
+import google.auth  # type: ignore
+import google.api_core
+from google.api_core import exceptions as core_exceptions
+from google.api_core import gapic_v1
+from google.api_core import retry as retries
+from google.api_core import operations_v1
+from google.auth import credentials as ga_credentials  # type: ignore
+from google.oauth2 import service_account # type: ignore
+
+from google.cloud.dataplex_v1.types import catalog
+from google.cloud.location import locations_pb2 # type: ignore
+from google.iam.v1 import iam_policy_pb2  # type: ignore
+from google.iam.v1 import policy_pb2  # type: ignore
+from google.longrunning import operations_pb2 # type: ignore
+from google.protobuf import empty_pb2  # type: ignore
+
+DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(gapic_version=package_version.__version__)
+
+
+class CatalogServiceTransport(abc.ABC):
+    """Abstract transport class for CatalogService."""
+
+    AUTH_SCOPES = (
+        'https://www.googleapis.com/auth/cloud-platform',
+    )
+
+    DEFAULT_HOST: str = 'dataplex.googleapis.com'
+    def __init__(
+            self, *,
+            host: str = DEFAULT_HOST,
+            credentials: Optional[ga_credentials.Credentials] = None,
+            credentials_file: Optional[str] = None,
+            scopes: Optional[Sequence[str]] = None,
+            quota_project_id: Optional[str] = None,
+            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
+            always_use_jwt_access: Optional[bool] = False,
+            api_audience: Optional[str] = None,
+            **kwargs,
+            ) -> None:
+        """Instantiate the transport.
+
+        Args:
+            host (Optional[str]):
+                 The hostname to connect to (default: 'dataplex.googleapis.com').
+            credentials (Optional[google.auth.credentials.Credentials]): The
+                authorization credentials to attach to requests. These
+                credentials identify the application to the service; if none
+                are specified, the client will attempt to ascertain the
+                credentials from the environment.
+            credentials_file (Optional[str]): A file with credentials that can
+                be loaded with :func:`google.auth.load_credentials_from_file`.
+                This argument is mutually exclusive with credentials.
+            scopes (Optional[Sequence[str]]): A list of scopes.
+            quota_project_id (Optional[str]): An optional project to use for billing
+                and quota.
+            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
+                The client info used to send a user-agent string along with
+                API requests. If ``None``, then default info will be used.
+                Generally, you only need to set this if you're developing
+                your own client library.
+            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
+                be used for service account credentials.
+        """
+
+        scopes_kwargs = {"scopes": scopes, "default_scopes": self.AUTH_SCOPES}
+
+        # Save the scopes.
+        self._scopes = scopes
+        if not hasattr(self, "_ignore_credentials"):
+            self._ignore_credentials: bool = False
+
+        # If no credentials are provided, then determine the appropriate
+        # defaults.
+        if credentials and credentials_file:
+            raise core_exceptions.DuplicateCredentialArgs("'credentials_file' and 'credentials' are mutually exclusive")
+
+        if credentials_file is not None:
+            credentials, _ = google.auth.load_credentials_from_file(
+                                credentials_file,
+                                **scopes_kwargs,
+                                quota_project_id=quota_project_id
+                            )
+        elif credentials is None and not self._ignore_credentials:
+            credentials, _ = google.auth.default(**scopes_kwargs, quota_project_id=quota_project_id)
+            # Don't apply audience if the credentials file passed from user.
+            if hasattr(credentials, "with_gdch_audience"):
+                credentials = credentials.with_gdch_audience(api_audience if api_audience else host)
+
+        # If the credentials are service account credentials, then always try to use self signed JWT.
+        if always_use_jwt_access and isinstance(credentials, service_account.Credentials) and hasattr(service_account.Credentials, "with_always_use_jwt_access"):
+            credentials = credentials.with_always_use_jwt_access(True)
+
+        # Save the credentials.
+        self._credentials = credentials
+
+        # Save the hostname. Default to port 443 (HTTPS) if none is specified.
+        if ':' not in host:
+            host += ':443'
+        self._host = host
+
+    @property
+    def host(self):
+        return self._host
+
+    def _prep_wrapped_messages(self, client_info):
+        # Precompute the wrapped methods.
+        self._wrapped_methods = {
+            self.create_entry_type: gapic_v1.method.wrap_method(
+                self.create_entry_type,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.update_entry_type: gapic_v1.method.wrap_method(
+                self.update_entry_type,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.delete_entry_type: gapic_v1.method.wrap_method(
+                self.delete_entry_type,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.list_entry_types: gapic_v1.method.wrap_method(
+                self.list_entry_types,
+                default_retry=retries.Retry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ResourceExhausted,
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.get_entry_type: gapic_v1.method.wrap_method(
+                self.get_entry_type,
+                default_retry=retries.Retry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ResourceExhausted,
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.create_aspect_type: gapic_v1.method.wrap_method(
+                self.create_aspect_type,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.update_aspect_type: gapic_v1.method.wrap_method(
+                self.update_aspect_type,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.delete_aspect_type: gapic_v1.method.wrap_method(
+                self.delete_aspect_type,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.list_aspect_types: gapic_v1.method.wrap_method(
+                self.list_aspect_types,
+                default_retry=retries.Retry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ResourceExhausted,
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.get_aspect_type: gapic_v1.method.wrap_method(
+                self.get_aspect_type,
+                default_retry=retries.Retry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ResourceExhausted,
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.create_entry_group: gapic_v1.method.wrap_method(
+                self.create_entry_group,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.update_entry_group: gapic_v1.method.wrap_method(
+                self.update_entry_group,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.delete_entry_group: gapic_v1.method.wrap_method(
+                self.delete_entry_group,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.list_entry_groups: gapic_v1.method.wrap_method(
+                self.list_entry_groups,
+                default_retry=retries.Retry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ResourceExhausted,
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.get_entry_group: gapic_v1.method.wrap_method(
+                self.get_entry_group,
+                default_retry=retries.Retry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ResourceExhausted,
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.create_entry: gapic_v1.method.wrap_method(
+                self.create_entry,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.update_entry: gapic_v1.method.wrap_method(
+                self.update_entry,
+                default_retry=retries.Retry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ResourceExhausted,
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.delete_entry: gapic_v1.method.wrap_method(
+                self.delete_entry,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.list_entries: gapic_v1.method.wrap_method(
+                self.list_entries,
+                default_retry=retries.Retry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ResourceExhausted,
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=20.0,
+                ),
+                default_timeout=20.0,
+                client_info=client_info,
+            ),
+            self.get_entry: gapic_v1.method.wrap_method(
+                self.get_entry,
+                default_retry=retries.Retry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ResourceExhausted,
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=20.0,
+                ),
+                default_timeout=20.0,
+                client_info=client_info,
+            ),
+            self.lookup_entry: gapic_v1.method.wrap_method(
+                self.lookup_entry,
+                default_retry=retries.Retry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ResourceExhausted,
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=20.0,
+                ),
+                default_timeout=20.0,
+                client_info=client_info,
+            ),
+            self.search_entries: gapic_v1.method.wrap_method(
+                self.search_entries,
+                default_retry=retries.Retry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ResourceExhausted,
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.create_metadata_job: gapic_v1.method.wrap_method(
+                self.create_metadata_job,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.get_metadata_job: gapic_v1.method.wrap_method(
+                self.get_metadata_job,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.list_metadata_jobs: gapic_v1.method.wrap_method(
+                self.list_metadata_jobs,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.cancel_metadata_job: gapic_v1.method.wrap_method(
+                self.cancel_metadata_job,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.get_location: gapic_v1.method.wrap_method(
+                self.get_location,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.list_locations: gapic_v1.method.wrap_method(
+                self.list_locations,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.cancel_operation: gapic_v1.method.wrap_method(
+                self.cancel_operation,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.delete_operation: gapic_v1.method.wrap_method(
+                self.delete_operation,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.get_operation: gapic_v1.method.wrap_method(
+                self.get_operation,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.list_operations: gapic_v1.method.wrap_method(
+                self.list_operations,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+         }
+
+    def close(self):
+        """Closes resources associated with the transport.
+
+       .. warning::
+            Only call this method if the transport is NOT shared
+            with other clients - this may cause errors in other clients!
+        """
+        raise NotImplementedError()
+
+    @property
+    def operations_client(self):
+        """Return the client designed to process long-running operations."""
+        raise NotImplementedError()
+
+    @property
+    def create_entry_type(self) -> Callable[
+            [catalog.CreateEntryTypeRequest],
+            Union[
+                operations_pb2.Operation,
+                Awaitable[operations_pb2.Operation]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def update_entry_type(self) -> Callable[
+            [catalog.UpdateEntryTypeRequest],
+            Union[
+                operations_pb2.Operation,
+                Awaitable[operations_pb2.Operation]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def delete_entry_type(self) -> Callable[
+            [catalog.DeleteEntryTypeRequest],
+            Union[
+                operations_pb2.Operation,
+                Awaitable[operations_pb2.Operation]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def list_entry_types(self) -> Callable[
+            [catalog.ListEntryTypesRequest],
+            Union[
+                catalog.ListEntryTypesResponse,
+                Awaitable[catalog.ListEntryTypesResponse]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def get_entry_type(self) -> Callable[
+            [catalog.GetEntryTypeRequest],
+            Union[
+                catalog.EntryType,
+                Awaitable[catalog.EntryType]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def create_aspect_type(self) -> Callable[
+            [catalog.CreateAspectTypeRequest],
+            Union[
+                operations_pb2.Operation,
+                Awaitable[operations_pb2.Operation]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def update_aspect_type(self) -> Callable[
+            [catalog.UpdateAspectTypeRequest],
+            Union[
+                operations_pb2.Operation,
+                Awaitable[operations_pb2.Operation]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def delete_aspect_type(self) -> Callable[
+            [catalog.DeleteAspectTypeRequest],
+            Union[
+                operations_pb2.Operation,
+                Awaitable[operations_pb2.Operation]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def list_aspect_types(self) -> Callable[
+            [catalog.ListAspectTypesRequest],
+            Union[
+                catalog.ListAspectTypesResponse,
+                Awaitable[catalog.ListAspectTypesResponse]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def get_aspect_type(self) -> Callable[
+            [catalog.GetAspectTypeRequest],
+            Union[
+                catalog.AspectType,
+                Awaitable[catalog.AspectType]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def create_entry_group(self) -> Callable[
+            [catalog.CreateEntryGroupRequest],
+            Union[
+                operations_pb2.Operation,
+                Awaitable[operations_pb2.Operation]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def update_entry_group(self) -> Callable[
+            [catalog.UpdateEntryGroupRequest],
+            Union[
+                operations_pb2.Operation,
+                Awaitable[operations_pb2.Operation]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def delete_entry_group(self) -> Callable[
+            [catalog.DeleteEntryGroupRequest],
+            Union[
+                operations_pb2.Operation,
+                Awaitable[operations_pb2.Operation]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def list_entry_groups(self) -> Callable[
+            [catalog.ListEntryGroupsRequest],
+            Union[
+                catalog.ListEntryGroupsResponse,
+                Awaitable[catalog.ListEntryGroupsResponse]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def get_entry_group(self) -> Callable[
+            [catalog.GetEntryGroupRequest],
+            Union[
+                catalog.EntryGroup,
+                Awaitable[catalog.EntryGroup]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def create_entry(self) -> Callable[
+            [catalog.CreateEntryRequest],
+            Union[
+                catalog.Entry,
+                Awaitable[catalog.Entry]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def update_entry(self) -> Callable[
+            [catalog.UpdateEntryRequest],
+            Union[
+                catalog.Entry,
+                Awaitable[catalog.Entry]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def delete_entry(self) -> Callable[
+            [catalog.DeleteEntryRequest],
+            Union[
+                catalog.Entry,
+                Awaitable[catalog.Entry]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def list_entries(self) -> Callable[
+            [catalog.ListEntriesRequest],
+            Union[
+                catalog.ListEntriesResponse,
+                Awaitable[catalog.ListEntriesResponse]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def get_entry(self) -> Callable[
+            [catalog.GetEntryRequest],
+            Union[
+                catalog.Entry,
+                Awaitable[catalog.Entry]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def lookup_entry(self) -> Callable[
+            [catalog.LookupEntryRequest],
+            Union[
+                catalog.Entry,
+                Awaitable[catalog.Entry]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def search_entries(self) -> Callable[
+            [catalog.SearchEntriesRequest],
+            Union[
+                catalog.SearchEntriesResponse,
+                Awaitable[catalog.SearchEntriesResponse]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def create_metadata_job(self) -> Callable[
+            [catalog.CreateMetadataJobRequest],
+            Union[
+                operations_pb2.Operation,
+                Awaitable[operations_pb2.Operation]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def get_metadata_job(self) -> Callable[
+            [catalog.GetMetadataJobRequest],
+            Union[
+                catalog.MetadataJob,
+                Awaitable[catalog.MetadataJob]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def list_metadata_jobs(self) -> Callable[
+            [catalog.ListMetadataJobsRequest],
+            Union[
+                catalog.ListMetadataJobsResponse,
+                Awaitable[catalog.ListMetadataJobsResponse]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def cancel_metadata_job(self) -> Callable[
+            [catalog.CancelMetadataJobRequest],
+            Union[
+                empty_pb2.Empty,
+                Awaitable[empty_pb2.Empty]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def list_operations(
+        self,
+    ) -> Callable[
+        [operations_pb2.ListOperationsRequest],
+        Union[operations_pb2.ListOperationsResponse, Awaitable[operations_pb2.ListOperationsResponse]],
+    ]:
+        raise NotImplementedError()
+
+    @property
+    def get_operation(
+        self,
+    ) -> Callable[
+        [operations_pb2.GetOperationRequest],
+        Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]],
+    ]:
+        raise NotImplementedError()
+
+    @property
+    def cancel_operation(
+        self,
+    ) -> Callable[
+        [operations_pb2.CancelOperationRequest],
+        None,
+    ]:
+        raise NotImplementedError()
+
+    @property
+    def delete_operation(
+        self,
+    ) -> Callable[
+        [operations_pb2.DeleteOperationRequest],
+        None,
+    ]:
+        raise NotImplementedError()
+
+    @property
+    def get_location(self,
+    ) -> Callable[
+        [locations_pb2.GetLocationRequest],
+        Union[locations_pb2.Location, Awaitable[locations_pb2.Location]],
+    ]:
+        raise NotImplementedError()
+
+    @property
+    def list_locations(self,
+    ) -> Callable[
+        [locations_pb2.ListLocationsRequest],
+        Union[locations_pb2.ListLocationsResponse, Awaitable[locations_pb2.ListLocationsResponse]],
+    ]:
+        raise NotImplementedError()
+
+    @property
+    def kind(self) -> str:
+        raise NotImplementedError()
+
+
+__all__ = (
+    'CatalogServiceTransport',
+)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/catalog_service/transports/grpc.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/catalog_service/transports/grpc.py
new file mode 100644
index 000000000000..72fef5ad3155
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/catalog_service/transports/grpc.py
@@ -0,0 +1,1076 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+import warnings
+from typing import Callable, Dict, Optional, Sequence, Tuple, Union
+
+from google.api_core import grpc_helpers
+from google.api_core import operations_v1
+from google.api_core import gapic_v1
+import google.auth                         # type: ignore
+from google.auth import credentials as ga_credentials  # type: ignore
+from google.auth.transport.grpc import SslCredentials  # type: ignore
+
+import grpc  # type: ignore
+
+from google.cloud.dataplex_v1.types import catalog
+from google.cloud.location import locations_pb2 # type: ignore
+from google.iam.v1 import iam_policy_pb2  # type: ignore
+from google.iam.v1 import policy_pb2  # type: ignore
+from google.longrunning import operations_pb2 # type: ignore
+from google.protobuf import empty_pb2  # type: ignore
+from .base import CatalogServiceTransport, DEFAULT_CLIENT_INFO
+
+
+class CatalogServiceGrpcTransport(CatalogServiceTransport):
+    """gRPC backend transport for CatalogService.
+
+    The primary resources offered by this service are
+    EntryGroups, EntryTypes, AspectTypes, and Entries. They
+    collectively let data administrators organize, manage, secure,
+    and catalog data located across cloud projects in their
+    organization in a variety of storage systems, including Cloud
+    Storage and BigQuery.
+
+    This class defines the same methods as the primary client, so the
+    primary client can load the underlying transport implementation
+    and call it.
+
+    It sends protocol buffers over the wire using gRPC (which is built on
+    top of HTTP/2); the ``grpcio`` package must be installed.
+    """
+    _stubs: Dict[str, Callable]
+
+    def __init__(self, *,
+            host: str = 'dataplex.googleapis.com',
+            credentials: Optional[ga_credentials.Credentials] = None,
+            credentials_file: Optional[str] = None,
+            scopes: Optional[Sequence[str]] = None,
+            channel: Optional[Union[grpc.Channel, Callable[..., grpc.Channel]]] = None,
+            api_mtls_endpoint: Optional[str] = None,
+            client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
+            ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None,
+            client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
+            quota_project_id: Optional[str] = None,
+            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
+            always_use_jwt_access: Optional[bool] = False,
+            api_audience: Optional[str] = None,
+            ) -> None:
+        """Instantiate the transport.
+
+        Args:
+            host (Optional[str]):
+                 The hostname to connect to (default: 'dataplex.googleapis.com').
+            credentials (Optional[google.auth.credentials.Credentials]): The
+                authorization credentials to attach to requests. These
+                credentials identify the application to the service; if none
+                are specified, the client will attempt to ascertain the
+                credentials from the environment.
+                This argument is ignored if a ``channel`` instance is provided.
+            credentials_file (Optional[str]): A file with credentials that can
+                be loaded with :func:`google.auth.load_credentials_from_file`.
+                This argument is ignored if a ``channel`` instance is provided.
+            scopes (Optional(Sequence[str])): A list of scopes. This argument is
+                ignored if a ``channel`` instance is provided.
+            channel (Optional[Union[grpc.Channel, Callable[..., grpc.Channel]]]):
+                A ``Channel`` instance through which to make calls, or a Callable
+                that constructs and returns one. If set to None, ``self.create_channel``
+                is used to create the channel. If a Callable is given, it will be called
+                with the same arguments as used in ``self.create_channel``.
+            api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint.
+                If provided, it overrides the ``host`` argument and tries to create
+                a mutual TLS channel with client SSL credentials from
+                ``client_cert_source`` or application default SSL credentials.
+            client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]):
+                Deprecated. A callback to provide client SSL certificate bytes and
+                private key bytes, both in PEM format. It is ignored if
+                ``api_mtls_endpoint`` is None.
+            ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials
+                for the grpc channel. It is ignored if a ``channel`` instance is provided.
+            client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]):
+                A callback to provide client certificate bytes and private key bytes,
+                both in PEM format. It is used to configure a mutual TLS channel. It is
+                ignored if a ``channel`` instance or ``ssl_channel_credentials`` is provided.
+            quota_project_id (Optional[str]): An optional project to use for billing
+                and quota.
+            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
+                The client info used to send a user-agent string along with
+                API requests. If ``None``, then default info will be used.
+                Generally, you only need to set this if you're developing
+                your own client library.
+            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
+                be used for service account credentials.
+
+        Raises:
+          google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport
+              creation failed for any reason.
+          google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials``
+              and ``credentials_file`` are passed.
+        """
+        self._grpc_channel = None
+        self._ssl_channel_credentials = ssl_channel_credentials
+        self._stubs: Dict[str, Callable] = {}
+        self._operations_client: Optional[operations_v1.OperationsClient] = None
+
+        if api_mtls_endpoint:
+            warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning)
+        if client_cert_source:
+            warnings.warn("client_cert_source is deprecated", DeprecationWarning)
+
+        if isinstance(channel, grpc.Channel):
+            # Ignore credentials if a channel was passed.
+            credentials = None
+            self._ignore_credentials = True
+            # If a channel was explicitly provided, set it.
+            self._grpc_channel = channel
+            self._ssl_channel_credentials = None
+
+        else:
+            if api_mtls_endpoint:
+                host = api_mtls_endpoint
+
+                # Create SSL credentials with client_cert_source or application
+                # default SSL credentials.
+                if client_cert_source:
+                    cert, key = client_cert_source()
+                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
+                        certificate_chain=cert, private_key=key
+                    )
+                else:
+                    self._ssl_channel_credentials = SslCredentials().ssl_credentials
+
+            else:
+                if client_cert_source_for_mtls and not ssl_channel_credentials:
+                    cert, key = client_cert_source_for_mtls()
+                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
+                        certificate_chain=cert, private_key=key
+                    )
+
+        # The base transport sets the host, credentials and scopes
+        super().__init__(
+            host=host,
+            credentials=credentials,
+            credentials_file=credentials_file,
+            scopes=scopes,
+            quota_project_id=quota_project_id,
+            client_info=client_info,
+            always_use_jwt_access=always_use_jwt_access,
+            api_audience=api_audience,
+        )
+
+        if not self._grpc_channel:
+            # initialize with the provided callable or the default channel
+            channel_init = channel or type(self).create_channel
+            self._grpc_channel = channel_init(
+                self._host,
+                # use the credentials which are saved
+                credentials=self._credentials,
+                # Set ``credentials_file`` to ``None`` here as
+                # the credentials that we saved earlier should be used.
+                credentials_file=None,
+                scopes=self._scopes,
+                ssl_credentials=self._ssl_channel_credentials,
+                quota_project_id=quota_project_id,
+                options=[
+                    ("grpc.max_send_message_length", -1),
+                    ("grpc.max_receive_message_length", -1),
+                ],
+            )
+
+        # Wrap messages. This must be done after self._grpc_channel exists
+        self._prep_wrapped_messages(client_info)
+
+    @classmethod
+    def create_channel(cls,
+                       host: str = 'dataplex.googleapis.com',
+                       credentials: Optional[ga_credentials.Credentials] = None,
+                       credentials_file: Optional[str] = None,
+                       scopes: Optional[Sequence[str]] = None,
+                       quota_project_id: Optional[str] = None,
+                       **kwargs) -> grpc.Channel:
+        """Create and return a gRPC channel object.
+        Args:
+            host (Optional[str]): The host for the channel to use.
+            credentials (Optional[~.Credentials]): The
+                authorization credentials to attach to requests. These
+                credentials identify this application to the service. If
+                none are specified, the client will attempt to ascertain
+                the credentials from the environment.
+            credentials_file (Optional[str]): A file with credentials that can
+                be loaded with :func:`google.auth.load_credentials_from_file`.
+                This argument is mutually exclusive with credentials.
+            scopes (Optional[Sequence[str]]): A optional list of scopes needed for this
+                service. These are only used when credentials are not specified and
+                are passed to :func:`google.auth.default`.
+            quota_project_id (Optional[str]): An optional project to use for billing
+                and quota.
+            kwargs (Optional[dict]): Keyword arguments, which are passed to the
+                channel creation.
+        Returns:
+            grpc.Channel: A gRPC channel object.
+
+        Raises:
+            google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials``
+              and ``credentials_file`` are passed.
+        """
+
+        return grpc_helpers.create_channel(
+            host,
+            credentials=credentials,
+            credentials_file=credentials_file,
+            quota_project_id=quota_project_id,
+            default_scopes=cls.AUTH_SCOPES,
+            scopes=scopes,
+            default_host=cls.DEFAULT_HOST,
+            **kwargs
+        )
+
+    @property
+    def grpc_channel(self) -> grpc.Channel:
+        """Return the channel designed to connect to this service.
+        """
+        return self._grpc_channel
+
+    @property
+    def operations_client(self) -> operations_v1.OperationsClient:
+        """Create the client designed to process long-running operations.
+
+        This property caches on the instance; repeated calls return the same
+        client.
+        """
+        # Quick check: Only create a new client if we do not already have one.
+        if self._operations_client is None:
+            self._operations_client = operations_v1.OperationsClient(
+                self.grpc_channel
+            )
+
+        # Return the client from cache.
+        return self._operations_client
+
+    @property
+    def create_entry_type(self) -> Callable[
+            [catalog.CreateEntryTypeRequest],
+            operations_pb2.Operation]:
+        r"""Return a callable for the create entry type method over gRPC.
+
+        Creates an EntryType.
+
+        Returns:
+            Callable[[~.CreateEntryTypeRequest],
+                    ~.Operation]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'create_entry_type' not in self._stubs:
+            self._stubs['create_entry_type'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.CatalogService/CreateEntryType',
+                request_serializer=catalog.CreateEntryTypeRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['create_entry_type']
+
+    @property
+    def update_entry_type(self) -> Callable[
+            [catalog.UpdateEntryTypeRequest],
+            operations_pb2.Operation]:
+        r"""Return a callable for the update entry type method over gRPC.
+
+        Updates an EntryType.
+
+        Returns:
+            Callable[[~.UpdateEntryTypeRequest],
+                    ~.Operation]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'update_entry_type' not in self._stubs:
+            self._stubs['update_entry_type'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.CatalogService/UpdateEntryType',
+                request_serializer=catalog.UpdateEntryTypeRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['update_entry_type']
+
+    @property
+    def delete_entry_type(self) -> Callable[
+            [catalog.DeleteEntryTypeRequest],
+            operations_pb2.Operation]:
+        r"""Return a callable for the delete entry type method over gRPC.
+
+        Deletes an EntryType.
+
+        Returns:
+            Callable[[~.DeleteEntryTypeRequest],
+                    ~.Operation]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'delete_entry_type' not in self._stubs:
+            self._stubs['delete_entry_type'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.CatalogService/DeleteEntryType',
+                request_serializer=catalog.DeleteEntryTypeRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['delete_entry_type']
+
+    @property
+    def list_entry_types(self) -> Callable[
+            [catalog.ListEntryTypesRequest],
+            catalog.ListEntryTypesResponse]:
+        r"""Return a callable for the list entry types method over gRPC.
+
+        Lists EntryType resources in a project and location.
+
+        Returns:
+            Callable[[~.ListEntryTypesRequest],
+                    ~.ListEntryTypesResponse]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'list_entry_types' not in self._stubs:
+            self._stubs['list_entry_types'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.CatalogService/ListEntryTypes',
+                request_serializer=catalog.ListEntryTypesRequest.serialize,
+                response_deserializer=catalog.ListEntryTypesResponse.deserialize,
+            )
+        return self._stubs['list_entry_types']
+
+    @property
+    def get_entry_type(self) -> Callable[
+            [catalog.GetEntryTypeRequest],
+            catalog.EntryType]:
+        r"""Return a callable for the get entry type method over gRPC.
+
+        Gets an EntryType.
+
+        Returns:
+            Callable[[~.GetEntryTypeRequest],
+                    ~.EntryType]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'get_entry_type' not in self._stubs:
+            self._stubs['get_entry_type'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.CatalogService/GetEntryType',
+                request_serializer=catalog.GetEntryTypeRequest.serialize,
+                response_deserializer=catalog.EntryType.deserialize,
+            )
+        return self._stubs['get_entry_type']
+
+    @property
+    def create_aspect_type(self) -> Callable[
+            [catalog.CreateAspectTypeRequest],
+            operations_pb2.Operation]:
+        r"""Return a callable for the create aspect type method over gRPC.
+
+        Creates an AspectType.
+
+        Returns:
+            Callable[[~.CreateAspectTypeRequest],
+                    ~.Operation]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'create_aspect_type' not in self._stubs:
+            self._stubs['create_aspect_type'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.CatalogService/CreateAspectType',
+                request_serializer=catalog.CreateAspectTypeRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['create_aspect_type']
+
+    @property
+    def update_aspect_type(self) -> Callable[
+            [catalog.UpdateAspectTypeRequest],
+            operations_pb2.Operation]:
+        r"""Return a callable for the update aspect type method over gRPC.
+
+        Updates an AspectType.
+
+        Returns:
+            Callable[[~.UpdateAspectTypeRequest],
+                    ~.Operation]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'update_aspect_type' not in self._stubs:
+            self._stubs['update_aspect_type'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.CatalogService/UpdateAspectType',
+                request_serializer=catalog.UpdateAspectTypeRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['update_aspect_type']
+
+    @property
+    def delete_aspect_type(self) -> Callable[
+            [catalog.DeleteAspectTypeRequest],
+            operations_pb2.Operation]:
+        r"""Return a callable for the delete aspect type method over gRPC.
+
+        Deletes an AspectType.
+
+        Returns:
+            Callable[[~.DeleteAspectTypeRequest],
+                    ~.Operation]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'delete_aspect_type' not in self._stubs:
+            self._stubs['delete_aspect_type'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.CatalogService/DeleteAspectType',
+                request_serializer=catalog.DeleteAspectTypeRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['delete_aspect_type']
+
+    @property
+    def list_aspect_types(self) -> Callable[
+            [catalog.ListAspectTypesRequest],
+            catalog.ListAspectTypesResponse]:
+        r"""Return a callable for the list aspect types method over gRPC.
+
+        Lists AspectType resources in a project and location.
+
+        Returns:
+            Callable[[~.ListAspectTypesRequest],
+                    ~.ListAspectTypesResponse]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'list_aspect_types' not in self._stubs:
+            self._stubs['list_aspect_types'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.CatalogService/ListAspectTypes',
+                request_serializer=catalog.ListAspectTypesRequest.serialize,
+                response_deserializer=catalog.ListAspectTypesResponse.deserialize,
+            )
+        return self._stubs['list_aspect_types']
+
+    @property
+    def get_aspect_type(self) -> Callable[
+            [catalog.GetAspectTypeRequest],
+            catalog.AspectType]:
+        r"""Return a callable for the get aspect type method over gRPC.
+
+        Gets an AspectType.
+
+        Returns:
+            Callable[[~.GetAspectTypeRequest],
+                    ~.AspectType]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'get_aspect_type' not in self._stubs:
+            self._stubs['get_aspect_type'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.CatalogService/GetAspectType',
+                request_serializer=catalog.GetAspectTypeRequest.serialize,
+                response_deserializer=catalog.AspectType.deserialize,
+            )
+        return self._stubs['get_aspect_type']
+
+    @property
+    def create_entry_group(self) -> Callable[
+            [catalog.CreateEntryGroupRequest],
+            operations_pb2.Operation]:
+        r"""Return a callable for the create entry group method over gRPC.
+
+        Creates an EntryGroup.
+
+        Returns:
+            Callable[[~.CreateEntryGroupRequest],
+                    ~.Operation]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'create_entry_group' not in self._stubs:
+            self._stubs['create_entry_group'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.CatalogService/CreateEntryGroup',
+                request_serializer=catalog.CreateEntryGroupRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['create_entry_group']
+
+    @property
+    def update_entry_group(self) -> Callable[
+            [catalog.UpdateEntryGroupRequest],
+            operations_pb2.Operation]:
+        r"""Return a callable for the update entry group method over gRPC.
+
+        Updates an EntryGroup.
+
+        Returns:
+            Callable[[~.UpdateEntryGroupRequest],
+                    ~.Operation]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'update_entry_group' not in self._stubs:
+            self._stubs['update_entry_group'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.CatalogService/UpdateEntryGroup',
+                request_serializer=catalog.UpdateEntryGroupRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['update_entry_group']
+
+    @property
+    def delete_entry_group(self) -> Callable[
+            [catalog.DeleteEntryGroupRequest],
+            operations_pb2.Operation]:
+        r"""Return a callable for the delete entry group method over gRPC.
+
+        Deletes an EntryGroup.
+
+        Returns:
+            Callable[[~.DeleteEntryGroupRequest],
+                    ~.Operation]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'delete_entry_group' not in self._stubs:
+            self._stubs['delete_entry_group'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.CatalogService/DeleteEntryGroup',
+                request_serializer=catalog.DeleteEntryGroupRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['delete_entry_group']
+
+    @property
+    def list_entry_groups(self) -> Callable[
+            [catalog.ListEntryGroupsRequest],
+            catalog.ListEntryGroupsResponse]:
+        r"""Return a callable for the list entry groups method over gRPC.
+
+        Lists EntryGroup resources in a project and location.
+
+        Returns:
+            Callable[[~.ListEntryGroupsRequest],
+                    ~.ListEntryGroupsResponse]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'list_entry_groups' not in self._stubs:
+            self._stubs['list_entry_groups'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.CatalogService/ListEntryGroups',
+                request_serializer=catalog.ListEntryGroupsRequest.serialize,
+                response_deserializer=catalog.ListEntryGroupsResponse.deserialize,
+            )
+        return self._stubs['list_entry_groups']
+
+    @property
+    def get_entry_group(self) -> Callable[
+            [catalog.GetEntryGroupRequest],
+            catalog.EntryGroup]:
+        r"""Return a callable for the get entry group method over gRPC.
+
+        Gets an EntryGroup.
+
+        Returns:
+            Callable[[~.GetEntryGroupRequest],
+                    ~.EntryGroup]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'get_entry_group' not in self._stubs:
+            self._stubs['get_entry_group'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.CatalogService/GetEntryGroup',
+                request_serializer=catalog.GetEntryGroupRequest.serialize,
+                response_deserializer=catalog.EntryGroup.deserialize,
+            )
+        return self._stubs['get_entry_group']
+
+    @property
+    def create_entry(self) -> Callable[
+            [catalog.CreateEntryRequest],
+            catalog.Entry]:
+        r"""Return a callable for the create entry method over gRPC.
+
+        Creates an Entry.
+
+        Returns:
+            Callable[[~.CreateEntryRequest],
+                    ~.Entry]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'create_entry' not in self._stubs:
+            self._stubs['create_entry'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.CatalogService/CreateEntry',
+                request_serializer=catalog.CreateEntryRequest.serialize,
+                response_deserializer=catalog.Entry.deserialize,
+            )
+        return self._stubs['create_entry']
+
+    @property
+    def update_entry(self) -> Callable[
+            [catalog.UpdateEntryRequest],
+            catalog.Entry]:
+        r"""Return a callable for the update entry method over gRPC.
+
+        Updates an Entry.
+
+        Returns:
+            Callable[[~.UpdateEntryRequest],
+                    ~.Entry]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'update_entry' not in self._stubs:
+            self._stubs['update_entry'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.CatalogService/UpdateEntry',
+                request_serializer=catalog.UpdateEntryRequest.serialize,
+                response_deserializer=catalog.Entry.deserialize,
+            )
+        return self._stubs['update_entry']
+
+    @property
+    def delete_entry(self) -> Callable[
+            [catalog.DeleteEntryRequest],
+            catalog.Entry]:
+        r"""Return a callable for the delete entry method over gRPC.
+
+        Deletes an Entry.
+
+        Returns:
+            Callable[[~.DeleteEntryRequest],
+                    ~.Entry]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'delete_entry' not in self._stubs:
+            self._stubs['delete_entry'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.CatalogService/DeleteEntry',
+                request_serializer=catalog.DeleteEntryRequest.serialize,
+                response_deserializer=catalog.Entry.deserialize,
+            )
+        return self._stubs['delete_entry']
+
+    @property
+    def list_entries(self) -> Callable[
+            [catalog.ListEntriesRequest],
+            catalog.ListEntriesResponse]:
+        r"""Return a callable for the list entries method over gRPC.
+
+        Lists Entries within an EntryGroup.
+
+        Returns:
+            Callable[[~.ListEntriesRequest],
+                    ~.ListEntriesResponse]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'list_entries' not in self._stubs:
+            self._stubs['list_entries'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.CatalogService/ListEntries',
+                request_serializer=catalog.ListEntriesRequest.serialize,
+                response_deserializer=catalog.ListEntriesResponse.deserialize,
+            )
+        return self._stubs['list_entries']
+
+    @property
+    def get_entry(self) -> Callable[
+            [catalog.GetEntryRequest],
+            catalog.Entry]:
+        r"""Return a callable for the get entry method over gRPC.
+
+        Gets an Entry.
+
+        **Caution**: The BigQuery metadata that is stored in Dataplex
+        Catalog is changing. For more information, see `Changes to
+        BigQuery metadata stored in Dataplex
+        Catalog <https://cloud.google.com/dataplex/docs/biqquery-metadata-changes>`__.
+
+        Returns:
+            Callable[[~.GetEntryRequest],
+                    ~.Entry]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'get_entry' not in self._stubs:
+            self._stubs['get_entry'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.CatalogService/GetEntry',
+                request_serializer=catalog.GetEntryRequest.serialize,
+                response_deserializer=catalog.Entry.deserialize,
+            )
+        return self._stubs['get_entry']
+
+    @property
+    def lookup_entry(self) -> Callable[
+            [catalog.LookupEntryRequest],
+            catalog.Entry]:
+        r"""Return a callable for the lookup entry method over gRPC.
+
+        Looks up a single Entry by name using the permission on the
+        source system.
+
+        **Caution**: The BigQuery metadata that is stored in Dataplex
+        Catalog is changing. For more information, see `Changes to
+        BigQuery metadata stored in Dataplex
+        Catalog <https://cloud.google.com/dataplex/docs/biqquery-metadata-changes>`__.
+
+        Returns:
+            Callable[[~.LookupEntryRequest],
+                    ~.Entry]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'lookup_entry' not in self._stubs:
+            self._stubs['lookup_entry'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.CatalogService/LookupEntry',
+                request_serializer=catalog.LookupEntryRequest.serialize,
+                response_deserializer=catalog.Entry.deserialize,
+            )
+        return self._stubs['lookup_entry']
+
+    @property
+    def search_entries(self) -> Callable[
+            [catalog.SearchEntriesRequest],
+            catalog.SearchEntriesResponse]:
+        r"""Return a callable for the search entries method over gRPC.
+
+        Searches for Entries matching the given query and
+        scope.
+
+        Returns:
+            Callable[[~.SearchEntriesRequest],
+                    ~.SearchEntriesResponse]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'search_entries' not in self._stubs:
+            self._stubs['search_entries'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.CatalogService/SearchEntries',
+                request_serializer=catalog.SearchEntriesRequest.serialize,
+                response_deserializer=catalog.SearchEntriesResponse.deserialize,
+            )
+        return self._stubs['search_entries']
+
+    @property
+    def create_metadata_job(self) -> Callable[
+            [catalog.CreateMetadataJobRequest],
+            operations_pb2.Operation]:
+        r"""Return a callable for the create metadata job method over gRPC.
+
+        Creates a metadata job. For example, use a metadata
+        job to import Dataplex Catalog entries and aspects from
+        a third-party system into Dataplex.
+
+        Returns:
+            Callable[[~.CreateMetadataJobRequest],
+                    ~.Operation]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'create_metadata_job' not in self._stubs:
+            self._stubs['create_metadata_job'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.CatalogService/CreateMetadataJob',
+                request_serializer=catalog.CreateMetadataJobRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['create_metadata_job']
+
+    @property
+    def get_metadata_job(self) -> Callable[
+            [catalog.GetMetadataJobRequest],
+            catalog.MetadataJob]:
+        r"""Return a callable for the get metadata job method over gRPC.
+
+        Gets a metadata job.
+
+        Returns:
+            Callable[[~.GetMetadataJobRequest],
+                    ~.MetadataJob]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'get_metadata_job' not in self._stubs:
+            self._stubs['get_metadata_job'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.CatalogService/GetMetadataJob',
+                request_serializer=catalog.GetMetadataJobRequest.serialize,
+                response_deserializer=catalog.MetadataJob.deserialize,
+            )
+        return self._stubs['get_metadata_job']
+
+    @property
+    def list_metadata_jobs(self) -> Callable[
+            [catalog.ListMetadataJobsRequest],
+            catalog.ListMetadataJobsResponse]:
+        r"""Return a callable for the list metadata jobs method over gRPC.
+
+        Lists metadata jobs.
+
+        Returns:
+            Callable[[~.ListMetadataJobsRequest],
+                    ~.ListMetadataJobsResponse]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'list_metadata_jobs' not in self._stubs:
+            self._stubs['list_metadata_jobs'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.CatalogService/ListMetadataJobs',
+                request_serializer=catalog.ListMetadataJobsRequest.serialize,
+                response_deserializer=catalog.ListMetadataJobsResponse.deserialize,
+            )
+        return self._stubs['list_metadata_jobs']
+
+    @property
+    def cancel_metadata_job(self) -> Callable[
+            [catalog.CancelMetadataJobRequest],
+            empty_pb2.Empty]:
+        r"""Return a callable for the cancel metadata job method over gRPC.
+
+        Cancels a metadata job.
+
+        If you cancel a metadata import job that is in progress,
+        the changes in the job might be partially applied. We
+        recommend that you reset the state of the entry groups
+        in your project by running another metadata job that
+        reverts the changes from the canceled job.
+
+        Returns:
+            Callable[[~.CancelMetadataJobRequest],
+                    ~.Empty]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'cancel_metadata_job' not in self._stubs:
+            self._stubs['cancel_metadata_job'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.CatalogService/CancelMetadataJob',
+                request_serializer=catalog.CancelMetadataJobRequest.serialize,
+                response_deserializer=empty_pb2.Empty.FromString,
+            )
+        return self._stubs['cancel_metadata_job']
+
+    def close(self):
+        self.grpc_channel.close()
+
+    @property
+    def delete_operation(
+        self,
+    ) -> Callable[[operations_pb2.DeleteOperationRequest], None]:
+        r"""Return a callable for the delete_operation method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "delete_operation" not in self._stubs:
+            self._stubs["delete_operation"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/DeleteOperation",
+                request_serializer=operations_pb2.DeleteOperationRequest.SerializeToString,
+                response_deserializer=None,
+            )
+        return self._stubs["delete_operation"]
+
+    @property
+    def cancel_operation(
+        self,
+    ) -> Callable[[operations_pb2.CancelOperationRequest], None]:
+        r"""Return a callable for the cancel_operation method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "cancel_operation" not in self._stubs:
+            self._stubs["cancel_operation"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/CancelOperation",
+                request_serializer=operations_pb2.CancelOperationRequest.SerializeToString,
+                response_deserializer=None,
+            )
+        return self._stubs["cancel_operation"]
+
+    @property
+    def get_operation(
+        self,
+    ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]:
+        r"""Return a callable for the get_operation method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "get_operation" not in self._stubs:
+            self._stubs["get_operation"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/GetOperation",
+                request_serializer=operations_pb2.GetOperationRequest.SerializeToString,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs["get_operation"]
+
+    @property
+    def list_operations(
+        self,
+    ) -> Callable[[operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse]:
+        r"""Return a callable for the list_operations method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "list_operations" not in self._stubs:
+            self._stubs["list_operations"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/ListOperations",
+                request_serializer=operations_pb2.ListOperationsRequest.SerializeToString,
+                response_deserializer=operations_pb2.ListOperationsResponse.FromString,
+            )
+        return self._stubs["list_operations"]
+
+    @property
+    def list_locations(
+        self,
+    ) -> Callable[[locations_pb2.ListLocationsRequest], locations_pb2.ListLocationsResponse]:
+        r"""Return a callable for the list locations method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "list_locations" not in self._stubs:
+            self._stubs["list_locations"] = self.grpc_channel.unary_unary(
+                "/google.cloud.location.Locations/ListLocations",
+                request_serializer=locations_pb2.ListLocationsRequest.SerializeToString,
+                response_deserializer=locations_pb2.ListLocationsResponse.FromString,
+            )
+        return self._stubs["list_locations"]
+
+    @property
+    def get_location(
+        self,
+    ) -> Callable[[locations_pb2.GetLocationRequest], locations_pb2.Location]:
+        r"""Return a callable for the list locations method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "get_location" not in self._stubs:
+            self._stubs["get_location"] = self.grpc_channel.unary_unary(
+                "/google.cloud.location.Locations/GetLocation",
+                request_serializer=locations_pb2.GetLocationRequest.SerializeToString,
+                response_deserializer=locations_pb2.Location.FromString,
+            )
+        return self._stubs["get_location"]
+
+    @property
+    def kind(self) -> str:
+        return "grpc"
+
+
+__all__ = (
+    'CatalogServiceGrpcTransport',
+)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/catalog_service/transports/grpc_asyncio.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/catalog_service/transports/grpc_asyncio.py
new file mode 100644
index 000000000000..20c5361626d6
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/catalog_service/transports/grpc_asyncio.py
@@ -0,0 +1,1362 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+import inspect
+import warnings
+from typing import Awaitable, Callable, Dict, Optional, Sequence, Tuple, Union
+
+from google.api_core import gapic_v1
+from google.api_core import grpc_helpers_async
+from google.api_core import exceptions as core_exceptions
+from google.api_core import retry_async as retries
+from google.api_core import operations_v1
+from google.auth import credentials as ga_credentials   # type: ignore
+from google.auth.transport.grpc import SslCredentials  # type: ignore
+
+import grpc                        # type: ignore
+from grpc.experimental import aio  # type: ignore
+
+from google.cloud.dataplex_v1.types import catalog
+from google.cloud.location import locations_pb2 # type: ignore
+from google.iam.v1 import iam_policy_pb2  # type: ignore
+from google.iam.v1 import policy_pb2  # type: ignore
+from google.longrunning import operations_pb2 # type: ignore
+from google.protobuf import empty_pb2  # type: ignore
+from .base import CatalogServiceTransport, DEFAULT_CLIENT_INFO
+from .grpc import CatalogServiceGrpcTransport
+
+
+class CatalogServiceGrpcAsyncIOTransport(CatalogServiceTransport):
+    """gRPC AsyncIO backend transport for CatalogService.
+
+    The primary resources offered by this service are
+    EntryGroups, EntryTypes, AspectTypes, and Entries. They
+    collectively let data administrators organize, manage, secure,
+    and catalog data located across cloud projects in their
+    organization in a variety of storage systems, including Cloud
+    Storage and BigQuery.
+
+    This class defines the same methods as the primary client, so the
+    primary client can load the underlying transport implementation
+    and call it.
+
+    It sends protocol buffers over the wire using gRPC (which is built on
+    top of HTTP/2); the ``grpcio`` package must be installed.
+    """
+
+    _grpc_channel: aio.Channel
+    _stubs: Dict[str, Callable] = {}
+
+    @classmethod
+    def create_channel(cls,
+                       host: str = 'dataplex.googleapis.com',
+                       credentials: Optional[ga_credentials.Credentials] = None,
+                       credentials_file: Optional[str] = None,
+                       scopes: Optional[Sequence[str]] = None,
+                       quota_project_id: Optional[str] = None,
+                       **kwargs) -> aio.Channel:
+        """Create and return a gRPC AsyncIO channel object.
+        Args:
+            host (Optional[str]): The host for the channel to use.
+            credentials (Optional[~.Credentials]): The
+                authorization credentials to attach to requests. These
+                credentials identify this application to the service. If
+                none are specified, the client will attempt to ascertain
+                the credentials from the environment.
+            credentials_file (Optional[str]): A file with credentials that can
+                be loaded with :func:`google.auth.load_credentials_from_file`.
+            scopes (Optional[Sequence[str]]): A optional list of scopes needed for this
+                service. These are only used when credentials are not specified and
+                are passed to :func:`google.auth.default`.
+            quota_project_id (Optional[str]): An optional project to use for billing
+                and quota.
+            kwargs (Optional[dict]): Keyword arguments, which are passed to the
+                channel creation.
+        Returns:
+            aio.Channel: A gRPC AsyncIO channel object.
+        """
+
+        return grpc_helpers_async.create_channel(
+            host,
+            credentials=credentials,
+            credentials_file=credentials_file,
+            quota_project_id=quota_project_id,
+            default_scopes=cls.AUTH_SCOPES,
+            scopes=scopes,
+            default_host=cls.DEFAULT_HOST,
+            **kwargs
+        )
+
+    def __init__(self, *,
+            host: str = 'dataplex.googleapis.com',
+            credentials: Optional[ga_credentials.Credentials] = None,
+            credentials_file: Optional[str] = None,
+            scopes: Optional[Sequence[str]] = None,
+            channel: Optional[Union[aio.Channel, Callable[..., aio.Channel]]] = None,
+            api_mtls_endpoint: Optional[str] = None,
+            client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
+            ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None,
+            client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
+            quota_project_id: Optional[str] = None,
+            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
+            always_use_jwt_access: Optional[bool] = False,
+            api_audience: Optional[str] = None,
+            ) -> None:
+        """Instantiate the transport.
+
+        Args:
+            host (Optional[str]):
+                 The hostname to connect to (default: 'dataplex.googleapis.com').
+            credentials (Optional[google.auth.credentials.Credentials]): The
+                authorization credentials to attach to requests. These
+                credentials identify the application to the service; if none
+                are specified, the client will attempt to ascertain the
+                credentials from the environment.
+                This argument is ignored if a ``channel`` instance is provided.
+            credentials_file (Optional[str]): A file with credentials that can
+                be loaded with :func:`google.auth.load_credentials_from_file`.
+                This argument is ignored if a ``channel`` instance is provided.
+            scopes (Optional[Sequence[str]]): A optional list of scopes needed for this
+                service. These are only used when credentials are not specified and
+                are passed to :func:`google.auth.default`.
+            channel (Optional[Union[aio.Channel, Callable[..., aio.Channel]]]):
+                A ``Channel`` instance through which to make calls, or a Callable
+                that constructs and returns one. If set to None, ``self.create_channel``
+                is used to create the channel. If a Callable is given, it will be called
+                with the same arguments as used in ``self.create_channel``.
+            api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint.
+                If provided, it overrides the ``host`` argument and tries to create
+                a mutual TLS channel with client SSL credentials from
+                ``client_cert_source`` or application default SSL credentials.
+            client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]):
+                Deprecated. A callback to provide client SSL certificate bytes and
+                private key bytes, both in PEM format. It is ignored if
+                ``api_mtls_endpoint`` is None.
+            ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials
+                for the grpc channel. It is ignored if a ``channel`` instance is provided.
+            client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]):
+                A callback to provide client certificate bytes and private key bytes,
+                both in PEM format. It is used to configure a mutual TLS channel. It is
+                ignored if a ``channel`` instance or ``ssl_channel_credentials`` is provided.
+            quota_project_id (Optional[str]): An optional project to use for billing
+                and quota.
+            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
+                The client info used to send a user-agent string along with
+                API requests. If ``None``, then default info will be used.
+                Generally, you only need to set this if you're developing
+                your own client library.
+            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
+                be used for service account credentials.
+
+        Raises:
+            google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport
+              creation failed for any reason.
+          google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials``
+              and ``credentials_file`` are passed.
+        """
+        self._grpc_channel = None
+        self._ssl_channel_credentials = ssl_channel_credentials
+        self._stubs: Dict[str, Callable] = {}
+        self._operations_client: Optional[operations_v1.OperationsAsyncClient] = None
+
+        if api_mtls_endpoint:
+            warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning)
+        if client_cert_source:
+            warnings.warn("client_cert_source is deprecated", DeprecationWarning)
+
+        if isinstance(channel, aio.Channel):
+            # Ignore credentials if a channel was passed.
+            credentials = None
+            self._ignore_credentials = True
+            # If a channel was explicitly provided, set it.
+            self._grpc_channel = channel
+            self._ssl_channel_credentials = None
+        else:
+            if api_mtls_endpoint:
+                host = api_mtls_endpoint
+
+                # Create SSL credentials with client_cert_source or application
+                # default SSL credentials.
+                if client_cert_source:
+                    cert, key = client_cert_source()
+                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
+                        certificate_chain=cert, private_key=key
+                    )
+                else:
+                    self._ssl_channel_credentials = SslCredentials().ssl_credentials
+
+            else:
+                if client_cert_source_for_mtls and not ssl_channel_credentials:
+                    cert, key = client_cert_source_for_mtls()
+                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
+                        certificate_chain=cert, private_key=key
+                    )
+
+        # The base transport sets the host, credentials and scopes
+        super().__init__(
+            host=host,
+            credentials=credentials,
+            credentials_file=credentials_file,
+            scopes=scopes,
+            quota_project_id=quota_project_id,
+            client_info=client_info,
+            always_use_jwt_access=always_use_jwt_access,
+            api_audience=api_audience,
+        )
+
+        if not self._grpc_channel:
+            # initialize with the provided callable or the default channel
+            channel_init = channel or type(self).create_channel
+            self._grpc_channel = channel_init(
+                self._host,
+                # use the credentials which are saved
+                credentials=self._credentials,
+                # Set ``credentials_file`` to ``None`` here as
+                # the credentials that we saved earlier should be used.
+                credentials_file=None,
+                scopes=self._scopes,
+                ssl_credentials=self._ssl_channel_credentials,
+                quota_project_id=quota_project_id,
+                options=[
+                    ("grpc.max_send_message_length", -1),
+                    ("grpc.max_receive_message_length", -1),
+                ],
+            )
+
+        # Wrap messages. This must be done after self._grpc_channel exists
+        self._wrap_with_kind = "kind" in inspect.signature(gapic_v1.method_async.wrap_method).parameters
+        self._prep_wrapped_messages(client_info)
+
+    @property
+    def grpc_channel(self) -> aio.Channel:
+        """Create the channel designed to connect to this service.
+
+        This property caches on the instance; repeated calls return
+        the same channel.
+        """
+        # Return the channel from cache.
+        return self._grpc_channel
+
+    @property
+    def operations_client(self) -> operations_v1.OperationsAsyncClient:
+        """Create the client designed to process long-running operations.
+
+        This property caches on the instance; repeated calls return the same
+        client.
+        """
+        # Quick check: Only create a new client if we do not already have one.
+        if self._operations_client is None:
+            self._operations_client = operations_v1.OperationsAsyncClient(
+                self.grpc_channel
+            )
+
+        # Return the client from cache.
+        return self._operations_client
+
+    @property
+    def create_entry_type(self) -> Callable[
+            [catalog.CreateEntryTypeRequest],
+            Awaitable[operations_pb2.Operation]]:
+        r"""Return a callable for the create entry type method over gRPC.
+
+        Creates an EntryType.
+
+        Returns:
+            Callable[[~.CreateEntryTypeRequest],
+                    Awaitable[~.Operation]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'create_entry_type' not in self._stubs:
+            self._stubs['create_entry_type'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.CatalogService/CreateEntryType',
+                request_serializer=catalog.CreateEntryTypeRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['create_entry_type']
+
+    @property
+    def update_entry_type(self) -> Callable[
+            [catalog.UpdateEntryTypeRequest],
+            Awaitable[operations_pb2.Operation]]:
+        r"""Return a callable for the update entry type method over gRPC.
+
+        Updates an EntryType.
+
+        Returns:
+            Callable[[~.UpdateEntryTypeRequest],
+                    Awaitable[~.Operation]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'update_entry_type' not in self._stubs:
+            self._stubs['update_entry_type'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.CatalogService/UpdateEntryType',
+                request_serializer=catalog.UpdateEntryTypeRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['update_entry_type']
+
+    @property
+    def delete_entry_type(self) -> Callable[
+            [catalog.DeleteEntryTypeRequest],
+            Awaitable[operations_pb2.Operation]]:
+        r"""Return a callable for the delete entry type method over gRPC.
+
+        Deletes an EntryType.
+
+        Returns:
+            Callable[[~.DeleteEntryTypeRequest],
+                    Awaitable[~.Operation]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'delete_entry_type' not in self._stubs:
+            self._stubs['delete_entry_type'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.CatalogService/DeleteEntryType',
+                request_serializer=catalog.DeleteEntryTypeRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['delete_entry_type']
+
+    @property
+    def list_entry_types(self) -> Callable[
+            [catalog.ListEntryTypesRequest],
+            Awaitable[catalog.ListEntryTypesResponse]]:
+        r"""Return a callable for the list entry types method over gRPC.
+
+        Lists EntryType resources in a project and location.
+
+        Returns:
+            Callable[[~.ListEntryTypesRequest],
+                    Awaitable[~.ListEntryTypesResponse]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'list_entry_types' not in self._stubs:
+            self._stubs['list_entry_types'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.CatalogService/ListEntryTypes',
+                request_serializer=catalog.ListEntryTypesRequest.serialize,
+                response_deserializer=catalog.ListEntryTypesResponse.deserialize,
+            )
+        return self._stubs['list_entry_types']
+
+    @property
+    def get_entry_type(self) -> Callable[
+            [catalog.GetEntryTypeRequest],
+            Awaitable[catalog.EntryType]]:
+        r"""Return a callable for the get entry type method over gRPC.
+
+        Gets an EntryType.
+
+        Returns:
+            Callable[[~.GetEntryTypeRequest],
+                    Awaitable[~.EntryType]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'get_entry_type' not in self._stubs:
+            self._stubs['get_entry_type'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.CatalogService/GetEntryType',
+                request_serializer=catalog.GetEntryTypeRequest.serialize,
+                response_deserializer=catalog.EntryType.deserialize,
+            )
+        return self._stubs['get_entry_type']
+
+    @property
+    def create_aspect_type(self) -> Callable[
+            [catalog.CreateAspectTypeRequest],
+            Awaitable[operations_pb2.Operation]]:
+        r"""Return a callable for the create aspect type method over gRPC.
+
+        Creates an AspectType.
+
+        Returns:
+            Callable[[~.CreateAspectTypeRequest],
+                    Awaitable[~.Operation]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'create_aspect_type' not in self._stubs:
+            self._stubs['create_aspect_type'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.CatalogService/CreateAspectType',
+                request_serializer=catalog.CreateAspectTypeRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['create_aspect_type']
+
+    @property
+    def update_aspect_type(self) -> Callable[
+            [catalog.UpdateAspectTypeRequest],
+            Awaitable[operations_pb2.Operation]]:
+        r"""Return a callable for the update aspect type method over gRPC.
+
+        Updates an AspectType.
+
+        Returns:
+            Callable[[~.UpdateAspectTypeRequest],
+                    Awaitable[~.Operation]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'update_aspect_type' not in self._stubs:
+            self._stubs['update_aspect_type'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.CatalogService/UpdateAspectType',
+                request_serializer=catalog.UpdateAspectTypeRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['update_aspect_type']
+
+    @property
+    def delete_aspect_type(self) -> Callable[
+            [catalog.DeleteAspectTypeRequest],
+            Awaitable[operations_pb2.Operation]]:
+        r"""Return a callable for the delete aspect type method over gRPC.
+
+        Deletes an AspectType.
+
+        Returns:
+            Callable[[~.DeleteAspectTypeRequest],
+                    Awaitable[~.Operation]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'delete_aspect_type' not in self._stubs:
+            self._stubs['delete_aspect_type'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.CatalogService/DeleteAspectType',
+                request_serializer=catalog.DeleteAspectTypeRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['delete_aspect_type']
+
+    @property
+    def list_aspect_types(self) -> Callable[
+            [catalog.ListAspectTypesRequest],
+            Awaitable[catalog.ListAspectTypesResponse]]:
+        r"""Return a callable for the list aspect types method over gRPC.
+
+        Lists AspectType resources in a project and location.
+
+        Returns:
+            Callable[[~.ListAspectTypesRequest],
+                    Awaitable[~.ListAspectTypesResponse]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'list_aspect_types' not in self._stubs:
+            self._stubs['list_aspect_types'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.CatalogService/ListAspectTypes',
+                request_serializer=catalog.ListAspectTypesRequest.serialize,
+                response_deserializer=catalog.ListAspectTypesResponse.deserialize,
+            )
+        return self._stubs['list_aspect_types']
+
+    @property
+    def get_aspect_type(self) -> Callable[
+            [catalog.GetAspectTypeRequest],
+            Awaitable[catalog.AspectType]]:
+        r"""Return a callable for the get aspect type method over gRPC.
+
+        Gets an AspectType.
+
+        Returns:
+            Callable[[~.GetAspectTypeRequest],
+                    Awaitable[~.AspectType]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'get_aspect_type' not in self._stubs:
+            self._stubs['get_aspect_type'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.CatalogService/GetAspectType',
+                request_serializer=catalog.GetAspectTypeRequest.serialize,
+                response_deserializer=catalog.AspectType.deserialize,
+            )
+        return self._stubs['get_aspect_type']
+
+    @property
+    def create_entry_group(self) -> Callable[
+            [catalog.CreateEntryGroupRequest],
+            Awaitable[operations_pb2.Operation]]:
+        r"""Return a callable for the create entry group method over gRPC.
+
+        Creates an EntryGroup.
+
+        Returns:
+            Callable[[~.CreateEntryGroupRequest],
+                    Awaitable[~.Operation]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'create_entry_group' not in self._stubs:
+            self._stubs['create_entry_group'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.CatalogService/CreateEntryGroup',
+                request_serializer=catalog.CreateEntryGroupRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['create_entry_group']
+
+    @property
+    def update_entry_group(self) -> Callable[
+            [catalog.UpdateEntryGroupRequest],
+            Awaitable[operations_pb2.Operation]]:
+        r"""Return a callable for the update entry group method over gRPC.
+
+        Updates an EntryGroup.
+
+        Returns:
+            Callable[[~.UpdateEntryGroupRequest],
+                    Awaitable[~.Operation]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'update_entry_group' not in self._stubs:
+            self._stubs['update_entry_group'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.CatalogService/UpdateEntryGroup',
+                request_serializer=catalog.UpdateEntryGroupRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['update_entry_group']
+
+    @property
+    def delete_entry_group(self) -> Callable[
+            [catalog.DeleteEntryGroupRequest],
+            Awaitable[operations_pb2.Operation]]:
+        r"""Return a callable for the delete entry group method over gRPC.
+
+        Deletes an EntryGroup.
+
+        Returns:
+            Callable[[~.DeleteEntryGroupRequest],
+                    Awaitable[~.Operation]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'delete_entry_group' not in self._stubs:
+            self._stubs['delete_entry_group'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.CatalogService/DeleteEntryGroup',
+                request_serializer=catalog.DeleteEntryGroupRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['delete_entry_group']
+
+    @property
+    def list_entry_groups(self) -> Callable[
+            [catalog.ListEntryGroupsRequest],
+            Awaitable[catalog.ListEntryGroupsResponse]]:
+        r"""Return a callable for the list entry groups method over gRPC.
+
+        Lists EntryGroup resources in a project and location.
+
+        Returns:
+            Callable[[~.ListEntryGroupsRequest],
+                    Awaitable[~.ListEntryGroupsResponse]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'list_entry_groups' not in self._stubs:
+            self._stubs['list_entry_groups'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.CatalogService/ListEntryGroups',
+                request_serializer=catalog.ListEntryGroupsRequest.serialize,
+                response_deserializer=catalog.ListEntryGroupsResponse.deserialize,
+            )
+        return self._stubs['list_entry_groups']
+
+    @property
+    def get_entry_group(self) -> Callable[
+            [catalog.GetEntryGroupRequest],
+            Awaitable[catalog.EntryGroup]]:
+        r"""Return a callable for the get entry group method over gRPC.
+
+        Gets an EntryGroup.
+
+        Returns:
+            Callable[[~.GetEntryGroupRequest],
+                    Awaitable[~.EntryGroup]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'get_entry_group' not in self._stubs:
+            self._stubs['get_entry_group'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.CatalogService/GetEntryGroup',
+                request_serializer=catalog.GetEntryGroupRequest.serialize,
+                response_deserializer=catalog.EntryGroup.deserialize,
+            )
+        return self._stubs['get_entry_group']
+
+    @property
+    def create_entry(self) -> Callable[
+            [catalog.CreateEntryRequest],
+            Awaitable[catalog.Entry]]:
+        r"""Return a callable for the create entry method over gRPC.
+
+        Creates an Entry.
+
+        Returns:
+            Callable[[~.CreateEntryRequest],
+                    Awaitable[~.Entry]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'create_entry' not in self._stubs:
+            self._stubs['create_entry'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.CatalogService/CreateEntry',
+                request_serializer=catalog.CreateEntryRequest.serialize,
+                response_deserializer=catalog.Entry.deserialize,
+            )
+        return self._stubs['create_entry']
+
+    @property
+    def update_entry(self) -> Callable[
+            [catalog.UpdateEntryRequest],
+            Awaitable[catalog.Entry]]:
+        r"""Return a callable for the update entry method over gRPC.
+
+        Updates an Entry.
+
+        Returns:
+            Callable[[~.UpdateEntryRequest],
+                    Awaitable[~.Entry]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'update_entry' not in self._stubs:
+            self._stubs['update_entry'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.CatalogService/UpdateEntry',
+                request_serializer=catalog.UpdateEntryRequest.serialize,
+                response_deserializer=catalog.Entry.deserialize,
+            )
+        return self._stubs['update_entry']
+
+    @property
+    def delete_entry(self) -> Callable[
+            [catalog.DeleteEntryRequest],
+            Awaitable[catalog.Entry]]:
+        r"""Return a callable for the delete entry method over gRPC.
+
+        Deletes an Entry.
+
+        Returns:
+            Callable[[~.DeleteEntryRequest],
+                    Awaitable[~.Entry]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'delete_entry' not in self._stubs:
+            self._stubs['delete_entry'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.CatalogService/DeleteEntry',
+                request_serializer=catalog.DeleteEntryRequest.serialize,
+                response_deserializer=catalog.Entry.deserialize,
+            )
+        return self._stubs['delete_entry']
+
+    @property
+    def list_entries(self) -> Callable[
+            [catalog.ListEntriesRequest],
+            Awaitable[catalog.ListEntriesResponse]]:
+        r"""Return a callable for the list entries method over gRPC.
+
+        Lists Entries within an EntryGroup.
+
+        Returns:
+            Callable[[~.ListEntriesRequest],
+                    Awaitable[~.ListEntriesResponse]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'list_entries' not in self._stubs:
+            self._stubs['list_entries'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.CatalogService/ListEntries',
+                request_serializer=catalog.ListEntriesRequest.serialize,
+                response_deserializer=catalog.ListEntriesResponse.deserialize,
+            )
+        return self._stubs['list_entries']
+
+    @property
+    def get_entry(self) -> Callable[
+            [catalog.GetEntryRequest],
+            Awaitable[catalog.Entry]]:
+        r"""Return a callable for the get entry method over gRPC.
+
+        Gets an Entry.
+
+        **Caution**: The BigQuery metadata that is stored in Dataplex
+        Catalog is changing. For more information, see `Changes to
+        BigQuery metadata stored in Dataplex
+        Catalog <https://cloud.google.com/dataplex/docs/biqquery-metadata-changes>`__.
+
+        Returns:
+            Callable[[~.GetEntryRequest],
+                    Awaitable[~.Entry]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'get_entry' not in self._stubs:
+            self._stubs['get_entry'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.CatalogService/GetEntry',
+                request_serializer=catalog.GetEntryRequest.serialize,
+                response_deserializer=catalog.Entry.deserialize,
+            )
+        return self._stubs['get_entry']
+
+    @property
+    def lookup_entry(self) -> Callable[
+            [catalog.LookupEntryRequest],
+            Awaitable[catalog.Entry]]:
+        r"""Return a callable for the lookup entry method over gRPC.
+
+        Looks up a single Entry by name using the permission on the
+        source system.
+
+        **Caution**: The BigQuery metadata that is stored in Dataplex
+        Catalog is changing. For more information, see `Changes to
+        BigQuery metadata stored in Dataplex
+        Catalog <https://cloud.google.com/dataplex/docs/biqquery-metadata-changes>`__.
+
+        Returns:
+            Callable[[~.LookupEntryRequest],
+                    Awaitable[~.Entry]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'lookup_entry' not in self._stubs:
+            self._stubs['lookup_entry'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.CatalogService/LookupEntry',
+                request_serializer=catalog.LookupEntryRequest.serialize,
+                response_deserializer=catalog.Entry.deserialize,
+            )
+        return self._stubs['lookup_entry']
+
+    @property
+    def search_entries(self) -> Callable[
+            [catalog.SearchEntriesRequest],
+            Awaitable[catalog.SearchEntriesResponse]]:
+        r"""Return a callable for the search entries method over gRPC.
+
+        Searches for Entries matching the given query and
+        scope.
+
+        Returns:
+            Callable[[~.SearchEntriesRequest],
+                    Awaitable[~.SearchEntriesResponse]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'search_entries' not in self._stubs:
+            self._stubs['search_entries'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.CatalogService/SearchEntries',
+                request_serializer=catalog.SearchEntriesRequest.serialize,
+                response_deserializer=catalog.SearchEntriesResponse.deserialize,
+            )
+        return self._stubs['search_entries']
+
+    @property
+    def create_metadata_job(self) -> Callable[
+            [catalog.CreateMetadataJobRequest],
+            Awaitable[operations_pb2.Operation]]:
+        r"""Return a callable for the create metadata job method over gRPC.
+
+        Creates a metadata job. For example, use a metadata
+        job to import Dataplex Catalog entries and aspects from
+        a third-party system into Dataplex.
+
+        Returns:
+            Callable[[~.CreateMetadataJobRequest],
+                    Awaitable[~.Operation]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'create_metadata_job' not in self._stubs:
+            self._stubs['create_metadata_job'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.CatalogService/CreateMetadataJob',
+                request_serializer=catalog.CreateMetadataJobRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['create_metadata_job']
+
+    @property
+    def get_metadata_job(self) -> Callable[
+            [catalog.GetMetadataJobRequest],
+            Awaitable[catalog.MetadataJob]]:
+        r"""Return a callable for the get metadata job method over gRPC.
+
+        Gets a metadata job.
+
+        Returns:
+            Callable[[~.GetMetadataJobRequest],
+                    Awaitable[~.MetadataJob]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'get_metadata_job' not in self._stubs:
+            self._stubs['get_metadata_job'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.CatalogService/GetMetadataJob',
+                request_serializer=catalog.GetMetadataJobRequest.serialize,
+                response_deserializer=catalog.MetadataJob.deserialize,
+            )
+        return self._stubs['get_metadata_job']
+
+    @property
+    def list_metadata_jobs(self) -> Callable[
+            [catalog.ListMetadataJobsRequest],
+            Awaitable[catalog.ListMetadataJobsResponse]]:
+        r"""Return a callable for the list metadata jobs method over gRPC.
+
+        Lists metadata jobs.
+
+        Returns:
+            Callable[[~.ListMetadataJobsRequest],
+                    Awaitable[~.ListMetadataJobsResponse]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'list_metadata_jobs' not in self._stubs:
+            self._stubs['list_metadata_jobs'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.CatalogService/ListMetadataJobs',
+                request_serializer=catalog.ListMetadataJobsRequest.serialize,
+                response_deserializer=catalog.ListMetadataJobsResponse.deserialize,
+            )
+        return self._stubs['list_metadata_jobs']
+
+    @property
+    def cancel_metadata_job(self) -> Callable[
+            [catalog.CancelMetadataJobRequest],
+            Awaitable[empty_pb2.Empty]]:
+        r"""Return a callable for the cancel metadata job method over gRPC.
+
+        Cancels a metadata job.
+
+        If you cancel a metadata import job that is in progress,
+        the changes in the job might be partially applied. We
+        recommend that you reset the state of the entry groups
+        in your project by running another metadata job that
+        reverts the changes from the canceled job.
+
+        Returns:
+            Callable[[~.CancelMetadataJobRequest],
+                    Awaitable[~.Empty]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'cancel_metadata_job' not in self._stubs:
+            self._stubs['cancel_metadata_job'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.CatalogService/CancelMetadataJob',
+                request_serializer=catalog.CancelMetadataJobRequest.serialize,
+                response_deserializer=empty_pb2.Empty.FromString,
+            )
+        return self._stubs['cancel_metadata_job']
+
+    def _prep_wrapped_messages(self, client_info):
+        """ Precompute the wrapped methods, overriding the base class method to use async wrappers."""
+        self._wrapped_methods = {
+            self.create_entry_type: self._wrap_method(
+                self.create_entry_type,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.update_entry_type: self._wrap_method(
+                self.update_entry_type,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.delete_entry_type: self._wrap_method(
+                self.delete_entry_type,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.list_entry_types: self._wrap_method(
+                self.list_entry_types,
+                default_retry=retries.AsyncRetry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ResourceExhausted,
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.get_entry_type: self._wrap_method(
+                self.get_entry_type,
+                default_retry=retries.AsyncRetry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ResourceExhausted,
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.create_aspect_type: self._wrap_method(
+                self.create_aspect_type,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.update_aspect_type: self._wrap_method(
+                self.update_aspect_type,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.delete_aspect_type: self._wrap_method(
+                self.delete_aspect_type,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.list_aspect_types: self._wrap_method(
+                self.list_aspect_types,
+                default_retry=retries.AsyncRetry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ResourceExhausted,
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.get_aspect_type: self._wrap_method(
+                self.get_aspect_type,
+                default_retry=retries.AsyncRetry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ResourceExhausted,
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.create_entry_group: self._wrap_method(
+                self.create_entry_group,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.update_entry_group: self._wrap_method(
+                self.update_entry_group,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.delete_entry_group: self._wrap_method(
+                self.delete_entry_group,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.list_entry_groups: self._wrap_method(
+                self.list_entry_groups,
+                default_retry=retries.AsyncRetry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ResourceExhausted,
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.get_entry_group: self._wrap_method(
+                self.get_entry_group,
+                default_retry=retries.AsyncRetry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ResourceExhausted,
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.create_entry: self._wrap_method(
+                self.create_entry,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.update_entry: self._wrap_method(
+                self.update_entry,
+                default_retry=retries.AsyncRetry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ResourceExhausted,
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.delete_entry: self._wrap_method(
+                self.delete_entry,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.list_entries: self._wrap_method(
+                self.list_entries,
+                default_retry=retries.AsyncRetry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ResourceExhausted,
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=20.0,
+                ),
+                default_timeout=20.0,
+                client_info=client_info,
+            ),
+            self.get_entry: self._wrap_method(
+                self.get_entry,
+                default_retry=retries.AsyncRetry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ResourceExhausted,
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=20.0,
+                ),
+                default_timeout=20.0,
+                client_info=client_info,
+            ),
+            self.lookup_entry: self._wrap_method(
+                self.lookup_entry,
+                default_retry=retries.AsyncRetry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ResourceExhausted,
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=20.0,
+                ),
+                default_timeout=20.0,
+                client_info=client_info,
+            ),
+            self.search_entries: self._wrap_method(
+                self.search_entries,
+                default_retry=retries.AsyncRetry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ResourceExhausted,
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.create_metadata_job: self._wrap_method(
+                self.create_metadata_job,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.get_metadata_job: self._wrap_method(
+                self.get_metadata_job,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.list_metadata_jobs: self._wrap_method(
+                self.list_metadata_jobs,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.cancel_metadata_job: self._wrap_method(
+                self.cancel_metadata_job,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.get_location: self._wrap_method(
+                self.get_location,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.list_locations: self._wrap_method(
+                self.list_locations,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.cancel_operation: self._wrap_method(
+                self.cancel_operation,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.delete_operation: self._wrap_method(
+                self.delete_operation,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.get_operation: self._wrap_method(
+                self.get_operation,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.list_operations: self._wrap_method(
+                self.list_operations,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+        }
+
+    def _wrap_method(self, func, *args, **kwargs):
+        if self._wrap_with_kind:  # pragma: NO COVER
+            kwargs["kind"] = self.kind
+        return gapic_v1.method_async.wrap_method(func, *args, **kwargs)
+
+    def close(self):
+        return self.grpc_channel.close()
+
+    @property
+    def kind(self) -> str:
+        return "grpc_asyncio"
+
+    @property
+    def delete_operation(
+        self,
+    ) -> Callable[[operations_pb2.DeleteOperationRequest], None]:
+        r"""Return a callable for the delete_operation method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "delete_operation" not in self._stubs:
+            self._stubs["delete_operation"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/DeleteOperation",
+                request_serializer=operations_pb2.DeleteOperationRequest.SerializeToString,
+                response_deserializer=None,
+            )
+        return self._stubs["delete_operation"]
+
+    @property
+    def cancel_operation(
+        self,
+    ) -> Callable[[operations_pb2.CancelOperationRequest], None]:
+        r"""Return a callable for the cancel_operation method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "cancel_operation" not in self._stubs:
+            self._stubs["cancel_operation"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/CancelOperation",
+                request_serializer=operations_pb2.CancelOperationRequest.SerializeToString,
+                response_deserializer=None,
+            )
+        return self._stubs["cancel_operation"]
+
+    @property
+    def get_operation(
+        self,
+    ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]:
+        r"""Return a callable for the get_operation method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "get_operation" not in self._stubs:
+            self._stubs["get_operation"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/GetOperation",
+                request_serializer=operations_pb2.GetOperationRequest.SerializeToString,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs["get_operation"]
+
+    @property
+    def list_operations(
+        self,
+    ) -> Callable[[operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse]:
+        r"""Return a callable for the list_operations method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "list_operations" not in self._stubs:
+            self._stubs["list_operations"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/ListOperations",
+                request_serializer=operations_pb2.ListOperationsRequest.SerializeToString,
+                response_deserializer=operations_pb2.ListOperationsResponse.FromString,
+            )
+        return self._stubs["list_operations"]
+
+    @property
+    def list_locations(
+        self,
+    ) -> Callable[[locations_pb2.ListLocationsRequest], locations_pb2.ListLocationsResponse]:
+        r"""Return a callable for the list locations method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "list_locations" not in self._stubs:
+            self._stubs["list_locations"] = self.grpc_channel.unary_unary(
+                "/google.cloud.location.Locations/ListLocations",
+                request_serializer=locations_pb2.ListLocationsRequest.SerializeToString,
+                response_deserializer=locations_pb2.ListLocationsResponse.FromString,
+            )
+        return self._stubs["list_locations"]
+
+    @property
+    def get_location(
+        self,
+    ) -> Callable[[locations_pb2.GetLocationRequest], locations_pb2.Location]:
+        r"""Return a callable for the list locations method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "get_location" not in self._stubs:
+            self._stubs["get_location"] = self.grpc_channel.unary_unary(
+                "/google.cloud.location.Locations/GetLocation",
+                request_serializer=locations_pb2.GetLocationRequest.SerializeToString,
+                response_deserializer=locations_pb2.Location.FromString,
+            )
+        return self._stubs["get_location"]
+
+
+__all__ = (
+    'CatalogServiceGrpcAsyncIOTransport',
+)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/content_service/__init__.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/content_service/__init__.py
new file mode 100644
index 000000000000..d5c571190bc7
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/content_service/__init__.py
@@ -0,0 +1,22 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from .client import ContentServiceClient
+from .async_client import ContentServiceAsyncClient
+
+__all__ = (
+    'ContentServiceClient',
+    'ContentServiceAsyncClient',
+)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/content_service/async_client.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/content_service/async_client.py
new file mode 100644
index 000000000000..0d74d046caec
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/content_service/async_client.py
@@ -0,0 +1,1435 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from collections import OrderedDict
+import re
+from typing import Dict, Callable, Mapping, MutableMapping, MutableSequence, Optional, Sequence, Tuple, Type, Union
+
+from google.cloud.dataplex_v1 import gapic_version as package_version
+
+from google.api_core.client_options import ClientOptions
+from google.api_core import exceptions as core_exceptions
+from google.api_core import gapic_v1
+from google.api_core import retry_async as retries
+from google.auth import credentials as ga_credentials   # type: ignore
+from google.oauth2 import service_account              # type: ignore
+
+
+try:
+    OptionalRetry = Union[retries.AsyncRetry, gapic_v1.method._MethodDefault, None]
+except AttributeError:  # pragma: NO COVER
+    OptionalRetry = Union[retries.AsyncRetry, object, None]  # type: ignore
+
+from google.cloud.dataplex_v1.services.content_service import pagers
+from google.cloud.dataplex_v1.types import analyze
+from google.cloud.dataplex_v1.types import content
+from google.cloud.dataplex_v1.types import content as gcd_content
+from google.cloud.location import locations_pb2 # type: ignore
+from google.iam.v1 import iam_policy_pb2  # type: ignore
+from google.iam.v1 import policy_pb2  # type: ignore
+from google.longrunning import operations_pb2 # type: ignore
+from google.protobuf import field_mask_pb2  # type: ignore
+from google.protobuf import timestamp_pb2  # type: ignore
+from .transports.base import ContentServiceTransport, DEFAULT_CLIENT_INFO
+from .transports.grpc_asyncio import ContentServiceGrpcAsyncIOTransport
+from .client import ContentServiceClient
+
+
+class ContentServiceAsyncClient:
+    """ContentService manages Notebook and SQL Scripts for Dataplex."""
+
+    _client: ContentServiceClient
+
+    # Copy defaults from the synchronous client for use here.
+    # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead.
+    DEFAULT_ENDPOINT = ContentServiceClient.DEFAULT_ENDPOINT
+    DEFAULT_MTLS_ENDPOINT = ContentServiceClient.DEFAULT_MTLS_ENDPOINT
+    _DEFAULT_ENDPOINT_TEMPLATE = ContentServiceClient._DEFAULT_ENDPOINT_TEMPLATE
+    _DEFAULT_UNIVERSE = ContentServiceClient._DEFAULT_UNIVERSE
+
+    content_path = staticmethod(ContentServiceClient.content_path)
+    parse_content_path = staticmethod(ContentServiceClient.parse_content_path)
+    lake_path = staticmethod(ContentServiceClient.lake_path)
+    parse_lake_path = staticmethod(ContentServiceClient.parse_lake_path)
+    common_billing_account_path = staticmethod(ContentServiceClient.common_billing_account_path)
+    parse_common_billing_account_path = staticmethod(ContentServiceClient.parse_common_billing_account_path)
+    common_folder_path = staticmethod(ContentServiceClient.common_folder_path)
+    parse_common_folder_path = staticmethod(ContentServiceClient.parse_common_folder_path)
+    common_organization_path = staticmethod(ContentServiceClient.common_organization_path)
+    parse_common_organization_path = staticmethod(ContentServiceClient.parse_common_organization_path)
+    common_project_path = staticmethod(ContentServiceClient.common_project_path)
+    parse_common_project_path = staticmethod(ContentServiceClient.parse_common_project_path)
+    common_location_path = staticmethod(ContentServiceClient.common_location_path)
+    parse_common_location_path = staticmethod(ContentServiceClient.parse_common_location_path)
+
+    @classmethod
+    def from_service_account_info(cls, info: dict, *args, **kwargs):
+        """Creates an instance of this client using the provided credentials
+            info.
+
+        Args:
+            info (dict): The service account private key info.
+            args: Additional arguments to pass to the constructor.
+            kwargs: Additional arguments to pass to the constructor.
+
+        Returns:
+            ContentServiceAsyncClient: The constructed client.
+        """
+        return ContentServiceClient.from_service_account_info.__func__(ContentServiceAsyncClient, info, *args, **kwargs)  # type: ignore
+
+    @classmethod
+    def from_service_account_file(cls, filename: str, *args, **kwargs):
+        """Creates an instance of this client using the provided credentials
+            file.
+
+        Args:
+            filename (str): The path to the service account private key json
+                file.
+            args: Additional arguments to pass to the constructor.
+            kwargs: Additional arguments to pass to the constructor.
+
+        Returns:
+            ContentServiceAsyncClient: The constructed client.
+        """
+        return ContentServiceClient.from_service_account_file.__func__(ContentServiceAsyncClient, filename, *args, **kwargs)  # type: ignore
+
+    from_service_account_json = from_service_account_file
+
+    @classmethod
+    def get_mtls_endpoint_and_cert_source(cls, client_options: Optional[ClientOptions] = None):
+        """Return the API endpoint and client cert source for mutual TLS.
+
+        The client cert source is determined in the following order:
+        (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the
+        client cert source is None.
+        (2) if `client_options.client_cert_source` is provided, use the provided one; if the
+        default client cert source exists, use the default one; otherwise the client cert
+        source is None.
+
+        The API endpoint is determined in the following order:
+        (1) if `client_options.api_endpoint` if provided, use the provided one.
+        (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the
+        default mTLS endpoint; if the environment variable is "never", use the default API
+        endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise
+        use the default API endpoint.
+
+        More details can be found at https://google.aip.dev/auth/4114.
+
+        Args:
+            client_options (google.api_core.client_options.ClientOptions): Custom options for the
+                client. Only the `api_endpoint` and `client_cert_source` properties may be used
+                in this method.
+
+        Returns:
+            Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the
+                client cert source to use.
+
+        Raises:
+            google.auth.exceptions.MutualTLSChannelError: If any errors happen.
+        """
+        return ContentServiceClient.get_mtls_endpoint_and_cert_source(client_options)  # type: ignore
+
+    @property
+    def transport(self) -> ContentServiceTransport:
+        """Returns the transport used by the client instance.
+
+        Returns:
+            ContentServiceTransport: The transport used by the client instance.
+        """
+        return self._client.transport
+
+    @property
+    def api_endpoint(self):
+        """Return the API endpoint used by the client instance.
+
+        Returns:
+            str: The API endpoint used by the client instance.
+        """
+        return self._client._api_endpoint
+
+    @property
+    def universe_domain(self) -> str:
+        """Return the universe domain used by the client instance.
+
+        Returns:
+            str: The universe domain used
+                by the client instance.
+        """
+        return self._client._universe_domain
+
+    get_transport_class = ContentServiceClient.get_transport_class
+
+    def __init__(self, *,
+            credentials: Optional[ga_credentials.Credentials] = None,
+            transport: Optional[Union[str, ContentServiceTransport, Callable[..., ContentServiceTransport]]] = "grpc_asyncio",
+            client_options: Optional[ClientOptions] = None,
+            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
+            ) -> None:
+        """Instantiates the content service async client.
+
+        Args:
+            credentials (Optional[google.auth.credentials.Credentials]): The
+                authorization credentials to attach to requests. These
+                credentials identify the application to the service; if none
+                are specified, the client will attempt to ascertain the
+                credentials from the environment.
+            transport (Optional[Union[str,ContentServiceTransport,Callable[..., ContentServiceTransport]]]):
+                The transport to use, or a Callable that constructs and returns a new transport to use.
+                If a Callable is given, it will be called with the same set of initialization
+                arguments as used in the ContentServiceTransport constructor.
+                If set to None, a transport is chosen automatically.
+            client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]):
+                Custom options for the client.
+
+                1. The ``api_endpoint`` property can be used to override the
+                default endpoint provided by the client when ``transport`` is
+                not explicitly provided. Only if this property is not set and
+                ``transport`` was not explicitly provided, the endpoint is
+                determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment
+                variable, which have one of the following values:
+                "always" (always use the default mTLS endpoint), "never" (always
+                use the default regular endpoint) and "auto" (auto-switch to the
+                default mTLS endpoint if client certificate is present; this is
+                the default value).
+
+                2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable
+                is "true", then the ``client_cert_source`` property can be used
+                to provide a client certificate for mTLS transport. If
+                not provided, the default SSL client certificate will be used if
+                present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not
+                set, no client certificate will be used.
+
+                3. The ``universe_domain`` property can be used to override the
+                default "googleapis.com" universe. Note that ``api_endpoint``
+                property still takes precedence; and ``universe_domain`` is
+                currently not supported for mTLS.
+
+            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
+                The client info used to send a user-agent string along with
+                API requests. If ``None``, then default info will be used.
+                Generally, you only need to set this if you're developing
+                your own client library.
+
+        Raises:
+            google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport
+                creation failed for any reason.
+        """
+        self._client = ContentServiceClient(
+            credentials=credentials,
+            transport=transport,
+            client_options=client_options,
+            client_info=client_info,
+
+        )
+
+    async def create_content(self,
+            request: Optional[Union[gcd_content.CreateContentRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            content: Optional[analyze.Content] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> analyze.Content:
+        r"""Create a content.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_create_content():
+                # Create a client
+                client = dataplex_v1.ContentServiceAsyncClient()
+
+                # Initialize request argument(s)
+                content = dataplex_v1.Content()
+                content.data_text = "data_text_value"
+                content.sql_script.engine = "SPARK"
+                content.path = "path_value"
+
+                request = dataplex_v1.CreateContentRequest(
+                    parent="parent_value",
+                    content=content,
+                )
+
+                # Make the request
+                response = await client.create_content(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.CreateContentRequest, dict]]):
+                The request object. Create content request.
+            parent (:class:`str`):
+                Required. The resource name of the parent lake:
+                projects/{project_id}/locations/{location_id}/lakes/{lake_id}
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            content (:class:`google.cloud.dataplex_v1.types.Content`):
+                Required. Content resource.
+                This corresponds to the ``content`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.Content:
+                Content represents a user-visible
+                notebook or a sql script
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent, content])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, gcd_content.CreateContentRequest):
+            request = gcd_content.CreateContentRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if parent is not None:
+            request.parent = parent
+        if content is not None:
+            request.content = content
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.create_content]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def update_content(self,
+            request: Optional[Union[gcd_content.UpdateContentRequest, dict]] = None,
+            *,
+            content: Optional[analyze.Content] = None,
+            update_mask: Optional[field_mask_pb2.FieldMask] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> analyze.Content:
+        r"""Update a content. Only supports full resource update.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_update_content():
+                # Create a client
+                client = dataplex_v1.ContentServiceAsyncClient()
+
+                # Initialize request argument(s)
+                content = dataplex_v1.Content()
+                content.data_text = "data_text_value"
+                content.sql_script.engine = "SPARK"
+                content.path = "path_value"
+
+                request = dataplex_v1.UpdateContentRequest(
+                    content=content,
+                )
+
+                # Make the request
+                response = await client.update_content(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.UpdateContentRequest, dict]]):
+                The request object. Update content request.
+            content (:class:`google.cloud.dataplex_v1.types.Content`):
+                Required. Update description. Only fields specified in
+                ``update_mask`` are updated.
+
+                This corresponds to the ``content`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`):
+                Required. Mask of fields to update.
+                This corresponds to the ``update_mask`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.Content:
+                Content represents a user-visible
+                notebook or a sql script
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([content, update_mask])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, gcd_content.UpdateContentRequest):
+            request = gcd_content.UpdateContentRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if content is not None:
+            request.content = content
+        if update_mask is not None:
+            request.update_mask = update_mask
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.update_content]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("content.name", request.content.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def delete_content(self,
+            request: Optional[Union[content.DeleteContentRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> None:
+        r"""Delete a content.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_delete_content():
+                # Create a client
+                client = dataplex_v1.ContentServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.DeleteContentRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                await client.delete_content(request=request)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.DeleteContentRequest, dict]]):
+                The request object. Delete content request.
+            name (:class:`str`):
+                Required. The resource name of the content:
+                projects/{project_id}/locations/{location_id}/lakes/{lake_id}/content/{content_id}
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, content.DeleteContentRequest):
+            request = content.DeleteContentRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if name is not None:
+            request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.delete_content]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+    async def get_content(self,
+            request: Optional[Union[content.GetContentRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> analyze.Content:
+        r"""Get a content resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_get_content():
+                # Create a client
+                client = dataplex_v1.ContentServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.GetContentRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                response = await client.get_content(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.GetContentRequest, dict]]):
+                The request object. Get content request.
+            name (:class:`str`):
+                Required. The resource name of the content:
+                projects/{project_id}/locations/{location_id}/lakes/{lake_id}/content/{content_id}
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.Content:
+                Content represents a user-visible
+                notebook or a sql script
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, content.GetContentRequest):
+            request = content.GetContentRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if name is not None:
+            request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.get_content]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def get_iam_policy(self,
+            request: Optional[Union[iam_policy_pb2.GetIamPolicyRequest, dict]] = None,
+            *,
+            resource: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> policy_pb2.Policy:
+        r"""Gets the access control policy for a contentitem resource. A
+        ``NOT_FOUND`` error is returned if the resource does not exist.
+        An empty policy is returned if the resource exists but does not
+        have a policy set on it.
+
+        Caller must have Google IAM ``dataplex.content.getIamPolicy``
+        permission on the resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+            from google.iam.v1 import iam_policy_pb2  # type: ignore
+
+            async def sample_get_iam_policy():
+                # Create a client
+                client = dataplex_v1.ContentServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = iam_policy_pb2.GetIamPolicyRequest(
+                    resource="resource_value",
+                )
+
+                # Make the request
+                response = await client.get_iam_policy(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest, dict]]):
+                The request object. Request message for ``GetIamPolicy`` method.
+            resource (:class:`str`):
+                REQUIRED: The resource for which the
+                policy is being requested. See the
+                operation documentation for the
+                appropriate value for this field.
+
+                This corresponds to the ``resource`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.iam.v1.policy_pb2.Policy:
+                An Identity and Access Management (IAM) policy, which specifies access
+                   controls for Google Cloud resources.
+
+                   A Policy is a collection of bindings. A binding binds
+                   one or more members, or principals, to a single role.
+                   Principals can be user accounts, service accounts,
+                   Google groups, and domains (such as G Suite). A role
+                   is a named list of permissions; each role can be an
+                   IAM predefined role or a user-created custom role.
+
+                   For some types of Google Cloud resources, a binding
+                   can also specify a condition, which is a logical
+                   expression that allows access to a resource only if
+                   the expression evaluates to true. A condition can add
+                   constraints based on attributes of the request, the
+                   resource, or both. To learn which resources support
+                   conditions in their IAM policies, see the [IAM
+                   documentation](\ https://cloud.google.com/iam/help/conditions/resource-policies).
+
+                   **JSON example:**
+
+                   :literal:`\`     {       "bindings": [         {           "role": "roles/resourcemanager.organizationAdmin",           "members": [             "user:mike@example.com",             "group:admins@example.com",             "domain:google.com",             "serviceAccount:my-project-id@appspot.gserviceaccount.com"           ]         },         {           "role": "roles/resourcemanager.organizationViewer",           "members": [             "user:eve@example.com"           ],           "condition": {             "title": "expirable access",             "description": "Does not grant access after Sep 2020",             "expression": "request.time <             timestamp('2020-10-01T00:00:00.000Z')",           }         }       ],       "etag": "BwWWja0YfJA=",       "version": 3     }`\ \`
+
+                   **YAML example:**
+
+                   :literal:`\`     bindings:     - members:       - user:mike@example.com       - group:admins@example.com       - domain:google.com       - serviceAccount:my-project-id@appspot.gserviceaccount.com       role: roles/resourcemanager.organizationAdmin     - members:       - user:eve@example.com       role: roles/resourcemanager.organizationViewer       condition:         title: expirable access         description: Does not grant access after Sep 2020         expression: request.time < timestamp('2020-10-01T00:00:00.000Z')     etag: BwWWja0YfJA=     version: 3`\ \`
+
+                   For a description of IAM and its features, see the
+                   [IAM
+                   documentation](\ https://cloud.google.com/iam/docs/).
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([resource])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+         # - The request isn't a proto-plus wrapped type,
+        #   so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = iam_policy_pb2.GetIamPolicyRequest(**request)
+        elif not request:
+            request = iam_policy_pb2.GetIamPolicyRequest(resource=resource)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.get_iam_policy]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("resource", request.resource),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def set_iam_policy(self,
+            request: Optional[Union[iam_policy_pb2.SetIamPolicyRequest, dict]] = None,
+            *,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> policy_pb2.Policy:
+        r"""Sets the access control policy on the specified contentitem
+        resource. Replaces any existing policy.
+
+        Caller must have Google IAM ``dataplex.content.setIamPolicy``
+        permission on the resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+            from google.iam.v1 import iam_policy_pb2  # type: ignore
+
+            async def sample_set_iam_policy():
+                # Create a client
+                client = dataplex_v1.ContentServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = iam_policy_pb2.SetIamPolicyRequest(
+                    resource="resource_value",
+                )
+
+                # Make the request
+                response = await client.set_iam_policy(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest, dict]]):
+                The request object. Request message for ``SetIamPolicy`` method.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.iam.v1.policy_pb2.Policy:
+                An Identity and Access Management (IAM) policy, which specifies access
+                   controls for Google Cloud resources.
+
+                   A Policy is a collection of bindings. A binding binds
+                   one or more members, or principals, to a single role.
+                   Principals can be user accounts, service accounts,
+                   Google groups, and domains (such as G Suite). A role
+                   is a named list of permissions; each role can be an
+                   IAM predefined role or a user-created custom role.
+
+                   For some types of Google Cloud resources, a binding
+                   can also specify a condition, which is a logical
+                   expression that allows access to a resource only if
+                   the expression evaluates to true. A condition can add
+                   constraints based on attributes of the request, the
+                   resource, or both. To learn which resources support
+                   conditions in their IAM policies, see the [IAM
+                   documentation](\ https://cloud.google.com/iam/help/conditions/resource-policies).
+
+                   **JSON example:**
+
+                   :literal:`\`     {       "bindings": [         {           "role": "roles/resourcemanager.organizationAdmin",           "members": [             "user:mike@example.com",             "group:admins@example.com",             "domain:google.com",             "serviceAccount:my-project-id@appspot.gserviceaccount.com"           ]         },         {           "role": "roles/resourcemanager.organizationViewer",           "members": [             "user:eve@example.com"           ],           "condition": {             "title": "expirable access",             "description": "Does not grant access after Sep 2020",             "expression": "request.time <             timestamp('2020-10-01T00:00:00.000Z')",           }         }       ],       "etag": "BwWWja0YfJA=",       "version": 3     }`\ \`
+
+                   **YAML example:**
+
+                   :literal:`\`     bindings:     - members:       - user:mike@example.com       - group:admins@example.com       - domain:google.com       - serviceAccount:my-project-id@appspot.gserviceaccount.com       role: roles/resourcemanager.organizationAdmin     - members:       - user:eve@example.com       role: roles/resourcemanager.organizationViewer       condition:         title: expirable access         description: Does not grant access after Sep 2020         expression: request.time < timestamp('2020-10-01T00:00:00.000Z')     etag: BwWWja0YfJA=     version: 3`\ \`
+
+                   For a description of IAM and its features, see the
+                   [IAM
+                   documentation](\ https://cloud.google.com/iam/docs/).
+
+        """
+        # Create or coerce a protobuf request object.
+         # - The request isn't a proto-plus wrapped type,
+        #   so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = iam_policy_pb2.SetIamPolicyRequest(**request)
+        elif not request:
+            request = iam_policy_pb2.SetIamPolicyRequest()
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.set_iam_policy]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("resource", request.resource),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def test_iam_permissions(self,
+            request: Optional[Union[iam_policy_pb2.TestIamPermissionsRequest, dict]] = None,
+            *,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> iam_policy_pb2.TestIamPermissionsResponse:
+        r"""Returns the caller's permissions on a resource. If the resource
+        does not exist, an empty set of permissions is returned (a
+        ``NOT_FOUND`` error is not returned).
+
+        A caller is not required to have Google IAM permission to make
+        this request.
+
+        Note: This operation is designed to be used for building
+        permission-aware UIs and command-line tools, not for
+        authorization checking. This operation may "fail open" without
+        warning.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+            from google.iam.v1 import iam_policy_pb2  # type: ignore
+
+            async def sample_test_iam_permissions():
+                # Create a client
+                client = dataplex_v1.ContentServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = iam_policy_pb2.TestIamPermissionsRequest(
+                    resource="resource_value",
+                    permissions=['permissions_value1', 'permissions_value2'],
+                )
+
+                # Make the request
+                response = await client.test_iam_permissions(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest, dict]]):
+                The request object. Request message for ``TestIamPermissions`` method.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse:
+                Response message for TestIamPermissions method.
+        """
+        # Create or coerce a protobuf request object.
+         # - The request isn't a proto-plus wrapped type,
+        #   so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = iam_policy_pb2.TestIamPermissionsRequest(**request)
+        elif not request:
+            request = iam_policy_pb2.TestIamPermissionsRequest()
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.test_iam_permissions]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("resource", request.resource),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def list_content(self,
+            request: Optional[Union[content.ListContentRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> pagers.ListContentAsyncPager:
+        r"""List content.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_list_content():
+                # Create a client
+                client = dataplex_v1.ContentServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.ListContentRequest(
+                    parent="parent_value",
+                )
+
+                # Make the request
+                page_result = client.list_content(request=request)
+
+                # Handle the response
+                async for response in page_result:
+                    print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.ListContentRequest, dict]]):
+                The request object. List content request. Returns the
+                BASIC Content view.
+            parent (:class:`str`):
+                Required. The resource name of the parent lake:
+                projects/{project_id}/locations/{location_id}/lakes/{lake_id}
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.services.content_service.pagers.ListContentAsyncPager:
+                List content response.
+
+                Iterating over this object will yield
+                results and resolve additional pages
+                automatically.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, content.ListContentRequest):
+            request = content.ListContentRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if parent is not None:
+            request.parent = parent
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.list_content]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # This method is paged; wrap the response in a pager, which provides
+        # an `__aiter__` convenience method.
+        response = pagers.ListContentAsyncPager(
+            method=rpc,
+            request=request,
+            response=response,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def list_operations(
+        self,
+        request: Optional[operations_pb2.ListOperationsRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> operations_pb2.ListOperationsResponse:
+        r"""Lists operations that match the specified filter in the request.
+
+        Args:
+            request (:class:`~.operations_pb2.ListOperationsRequest`):
+                The request object. Request message for
+                `ListOperations` method.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.operations_pb2.ListOperationsResponse:
+                Response message for ``ListOperations`` method.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.ListOperationsRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self.transport._wrapped_methods[self._client._transport.list_operations]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request, retry=retry, timeout=timeout, metadata=metadata,)
+
+        # Done; return the response.
+        return response
+
+    async def get_operation(
+        self,
+        request: Optional[operations_pb2.GetOperationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> operations_pb2.Operation:
+        r"""Gets the latest state of a long-running operation.
+
+        Args:
+            request (:class:`~.operations_pb2.GetOperationRequest`):
+                The request object. Request message for
+                `GetOperation` method.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.operations_pb2.Operation:
+                An ``Operation`` object.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.GetOperationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self.transport._wrapped_methods[self._client._transport.get_operation]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request, retry=retry, timeout=timeout, metadata=metadata,)
+
+        # Done; return the response.
+        return response
+
+    async def delete_operation(
+        self,
+        request: Optional[operations_pb2.DeleteOperationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> None:
+        r"""Deletes a long-running operation.
+
+        This method indicates that the client is no longer interested
+        in the operation result. It does not cancel the operation.
+        If the server doesn't support this method, it returns
+        `google.rpc.Code.UNIMPLEMENTED`.
+
+        Args:
+            request (:class:`~.operations_pb2.DeleteOperationRequest`):
+                The request object. Request message for
+                `DeleteOperation` method.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            None
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.DeleteOperationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self.transport._wrapped_methods[self._client._transport.delete_operation]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        await rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
+
+    async def cancel_operation(
+        self,
+        request: Optional[operations_pb2.CancelOperationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> None:
+        r"""Starts asynchronous cancellation on a long-running operation.
+
+        The server makes a best effort to cancel the operation, but success
+        is not guaranteed.  If the server doesn't support this method, it returns
+        `google.rpc.Code.UNIMPLEMENTED`.
+
+        Args:
+            request (:class:`~.operations_pb2.CancelOperationRequest`):
+                The request object. Request message for
+                `CancelOperation` method.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            None
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.CancelOperationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self.transport._wrapped_methods[self._client._transport.cancel_operation]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        await rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
+
+    async def get_location(
+        self,
+        request: Optional[locations_pb2.GetLocationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> locations_pb2.Location:
+        r"""Gets information about a location.
+
+        Args:
+            request (:class:`~.location_pb2.GetLocationRequest`):
+                The request object. Request message for
+                `GetLocation` method.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
+                 if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.location_pb2.Location:
+                Location object.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = locations_pb2.GetLocationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self.transport._wrapped_methods[self._client._transport.get_location]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request, retry=retry, timeout=timeout, metadata=metadata,)
+
+        # Done; return the response.
+        return response
+
+    async def list_locations(
+        self,
+        request: Optional[locations_pb2.ListLocationsRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> locations_pb2.ListLocationsResponse:
+        r"""Lists information about the supported locations for this service.
+
+        Args:
+            request (:class:`~.location_pb2.ListLocationsRequest`):
+                The request object. Request message for
+                `ListLocations` method.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
+                 if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.location_pb2.ListLocationsResponse:
+                Response message for ``ListLocations`` method.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = locations_pb2.ListLocationsRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self.transport._wrapped_methods[self._client._transport.list_locations]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request, retry=retry, timeout=timeout, metadata=metadata,)
+
+        # Done; return the response.
+        return response
+
+    async def __aenter__(self) -> "ContentServiceAsyncClient":
+        return self
+
+    async def __aexit__(self, exc_type, exc, tb):
+        await self.transport.close()
+
+DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(gapic_version=package_version.__version__)
+
+
+__all__ = (
+    "ContentServiceAsyncClient",
+)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/content_service/client.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/content_service/client.py
new file mode 100644
index 000000000000..ff4cbd86c3cb
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/content_service/client.py
@@ -0,0 +1,1767 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from collections import OrderedDict
+import os
+import re
+from typing import Dict, Callable, Mapping, MutableMapping, MutableSequence, Optional, Sequence, Tuple, Type, Union, cast
+import warnings
+
+from google.cloud.dataplex_v1 import gapic_version as package_version
+
+from google.api_core import client_options as client_options_lib
+from google.api_core import exceptions as core_exceptions
+from google.api_core import gapic_v1
+from google.api_core import retry as retries
+from google.auth import credentials as ga_credentials             # type: ignore
+from google.auth.transport import mtls                            # type: ignore
+from google.auth.transport.grpc import SslCredentials             # type: ignore
+from google.auth.exceptions import MutualTLSChannelError          # type: ignore
+from google.oauth2 import service_account                         # type: ignore
+
+try:
+    OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None]
+except AttributeError:  # pragma: NO COVER
+    OptionalRetry = Union[retries.Retry, object, None]  # type: ignore
+
+from google.cloud.dataplex_v1.services.content_service import pagers
+from google.cloud.dataplex_v1.types import analyze
+from google.cloud.dataplex_v1.types import content
+from google.cloud.dataplex_v1.types import content as gcd_content
+from google.cloud.location import locations_pb2 # type: ignore
+from google.iam.v1 import iam_policy_pb2  # type: ignore
+from google.iam.v1 import policy_pb2  # type: ignore
+from google.longrunning import operations_pb2 # type: ignore
+from google.protobuf import field_mask_pb2  # type: ignore
+from google.protobuf import timestamp_pb2  # type: ignore
+from .transports.base import ContentServiceTransport, DEFAULT_CLIENT_INFO
+from .transports.grpc import ContentServiceGrpcTransport
+from .transports.grpc_asyncio import ContentServiceGrpcAsyncIOTransport
+
+
+class ContentServiceClientMeta(type):
+    """Metaclass for the ContentService client.
+
+    This provides class-level methods for building and retrieving
+    support objects (e.g. transport) without polluting the client instance
+    objects.
+    """
+    _transport_registry = OrderedDict()  # type: Dict[str, Type[ContentServiceTransport]]
+    _transport_registry["grpc"] = ContentServiceGrpcTransport
+    _transport_registry["grpc_asyncio"] = ContentServiceGrpcAsyncIOTransport
+
+    def get_transport_class(cls,
+            label: Optional[str] = None,
+        ) -> Type[ContentServiceTransport]:
+        """Returns an appropriate transport class.
+
+        Args:
+            label: The name of the desired transport. If none is
+                provided, then the first transport in the registry is used.
+
+        Returns:
+            The transport class to use.
+        """
+        # If a specific transport is requested, return that one.
+        if label:
+            return cls._transport_registry[label]
+
+        # No transport is requested; return the default (that is, the first one
+        # in the dictionary).
+        return next(iter(cls._transport_registry.values()))
+
+
+class ContentServiceClient(metaclass=ContentServiceClientMeta):
+    """ContentService manages Notebook and SQL Scripts for Dataplex."""
+
+    @staticmethod
+    def _get_default_mtls_endpoint(api_endpoint):
+        """Converts api endpoint to mTLS endpoint.
+
+        Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to
+        "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively.
+        Args:
+            api_endpoint (Optional[str]): the api endpoint to convert.
+        Returns:
+            str: converted mTLS api endpoint.
+        """
+        if not api_endpoint:
+            return api_endpoint
+
+        mtls_endpoint_re = re.compile(
+            r"(?P<name>[^.]+)(?P<mtls>\.mtls)?(?P<sandbox>\.sandbox)?(?P<googledomain>\.googleapis\.com)?"
+        )
+
+        m = mtls_endpoint_re.match(api_endpoint)
+        name, mtls, sandbox, googledomain = m.groups()
+        if mtls or not googledomain:
+            return api_endpoint
+
+        if sandbox:
+            return api_endpoint.replace(
+                "sandbox.googleapis.com", "mtls.sandbox.googleapis.com"
+            )
+
+        return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com")
+
+    # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead.
+    DEFAULT_ENDPOINT = "dataplex.googleapis.com"
+    DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__(  # type: ignore
+        DEFAULT_ENDPOINT
+    )
+
+    _DEFAULT_ENDPOINT_TEMPLATE = "dataplex.{UNIVERSE_DOMAIN}"
+    _DEFAULT_UNIVERSE = "googleapis.com"
+
+    @classmethod
+    def from_service_account_info(cls, info: dict, *args, **kwargs):
+        """Creates an instance of this client using the provided credentials
+            info.
+
+        Args:
+            info (dict): The service account private key info.
+            args: Additional arguments to pass to the constructor.
+            kwargs: Additional arguments to pass to the constructor.
+
+        Returns:
+            ContentServiceClient: The constructed client.
+        """
+        credentials = service_account.Credentials.from_service_account_info(info)
+        kwargs["credentials"] = credentials
+        return cls(*args, **kwargs)
+
+    @classmethod
+    def from_service_account_file(cls, filename: str, *args, **kwargs):
+        """Creates an instance of this client using the provided credentials
+            file.
+
+        Args:
+            filename (str): The path to the service account private key json
+                file.
+            args: Additional arguments to pass to the constructor.
+            kwargs: Additional arguments to pass to the constructor.
+
+        Returns:
+            ContentServiceClient: The constructed client.
+        """
+        credentials = service_account.Credentials.from_service_account_file(
+            filename)
+        kwargs["credentials"] = credentials
+        return cls(*args, **kwargs)
+
+    from_service_account_json = from_service_account_file
+
+    @property
+    def transport(self) -> ContentServiceTransport:
+        """Returns the transport used by the client instance.
+
+        Returns:
+            ContentServiceTransport: The transport used by the client
+                instance.
+        """
+        return self._transport
+
+    @staticmethod
+    def content_path(project: str,location: str,lake: str,content: str,) -> str:
+        """Returns a fully-qualified content string."""
+        return "projects/{project}/locations/{location}/lakes/{lake}/content/{content}".format(project=project, location=location, lake=lake, content=content, )
+
+    @staticmethod
+    def parse_content_path(path: str) -> Dict[str,str]:
+        """Parses a content path into its component segments."""
+        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/lakes/(?P<lake>.+?)/content/(?P<content>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @staticmethod
+    def lake_path(project: str,location: str,lake: str,) -> str:
+        """Returns a fully-qualified lake string."""
+        return "projects/{project}/locations/{location}/lakes/{lake}".format(project=project, location=location, lake=lake, )
+
+    @staticmethod
+    def parse_lake_path(path: str) -> Dict[str,str]:
+        """Parses a lake path into its component segments."""
+        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/lakes/(?P<lake>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @staticmethod
+    def common_billing_account_path(billing_account: str, ) -> str:
+        """Returns a fully-qualified billing_account string."""
+        return "billingAccounts/{billing_account}".format(billing_account=billing_account, )
+
+    @staticmethod
+    def parse_common_billing_account_path(path: str) -> Dict[str,str]:
+        """Parse a billing_account path into its component segments."""
+        m = re.match(r"^billingAccounts/(?P<billing_account>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @staticmethod
+    def common_folder_path(folder: str, ) -> str:
+        """Returns a fully-qualified folder string."""
+        return "folders/{folder}".format(folder=folder, )
+
+    @staticmethod
+    def parse_common_folder_path(path: str) -> Dict[str,str]:
+        """Parse a folder path into its component segments."""
+        m = re.match(r"^folders/(?P<folder>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @staticmethod
+    def common_organization_path(organization: str, ) -> str:
+        """Returns a fully-qualified organization string."""
+        return "organizations/{organization}".format(organization=organization, )
+
+    @staticmethod
+    def parse_common_organization_path(path: str) -> Dict[str,str]:
+        """Parse a organization path into its component segments."""
+        m = re.match(r"^organizations/(?P<organization>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @staticmethod
+    def common_project_path(project: str, ) -> str:
+        """Returns a fully-qualified project string."""
+        return "projects/{project}".format(project=project, )
+
+    @staticmethod
+    def parse_common_project_path(path: str) -> Dict[str,str]:
+        """Parse a project path into its component segments."""
+        m = re.match(r"^projects/(?P<project>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @staticmethod
+    def common_location_path(project: str, location: str, ) -> str:
+        """Returns a fully-qualified location string."""
+        return "projects/{project}/locations/{location}".format(project=project, location=location, )
+
+    @staticmethod
+    def parse_common_location_path(path: str) -> Dict[str,str]:
+        """Parse a location path into its component segments."""
+        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @classmethod
+    def get_mtls_endpoint_and_cert_source(cls, client_options: Optional[client_options_lib.ClientOptions] = None):
+        """Deprecated. Return the API endpoint and client cert source for mutual TLS.
+
+        The client cert source is determined in the following order:
+        (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the
+        client cert source is None.
+        (2) if `client_options.client_cert_source` is provided, use the provided one; if the
+        default client cert source exists, use the default one; otherwise the client cert
+        source is None.
+
+        The API endpoint is determined in the following order:
+        (1) if `client_options.api_endpoint` if provided, use the provided one.
+        (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the
+        default mTLS endpoint; if the environment variable is "never", use the default API
+        endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise
+        use the default API endpoint.
+
+        More details can be found at https://google.aip.dev/auth/4114.
+
+        Args:
+            client_options (google.api_core.client_options.ClientOptions): Custom options for the
+                client. Only the `api_endpoint` and `client_cert_source` properties may be used
+                in this method.
+
+        Returns:
+            Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the
+                client cert source to use.
+
+        Raises:
+            google.auth.exceptions.MutualTLSChannelError: If any errors happen.
+        """
+
+        warnings.warn("get_mtls_endpoint_and_cert_source is deprecated. Use the api_endpoint property instead.",
+            DeprecationWarning)
+        if client_options is None:
+            client_options = client_options_lib.ClientOptions()
+        use_client_cert = os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false")
+        use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto")
+        if use_client_cert not in ("true", "false"):
+            raise ValueError("Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`")
+        if use_mtls_endpoint not in ("auto", "never", "always"):
+            raise MutualTLSChannelError("Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`")
+
+        # Figure out the client cert source to use.
+        client_cert_source = None
+        if use_client_cert == "true":
+            if client_options.client_cert_source:
+                client_cert_source = client_options.client_cert_source
+            elif mtls.has_default_client_cert_source():
+                client_cert_source = mtls.default_client_cert_source()
+
+        # Figure out which api endpoint to use.
+        if client_options.api_endpoint is not None:
+            api_endpoint = client_options.api_endpoint
+        elif use_mtls_endpoint == "always" or (use_mtls_endpoint == "auto" and client_cert_source):
+            api_endpoint = cls.DEFAULT_MTLS_ENDPOINT
+        else:
+            api_endpoint = cls.DEFAULT_ENDPOINT
+
+        return api_endpoint, client_cert_source
+
+    @staticmethod
+    def _read_environment_variables():
+        """Returns the environment variables used by the client.
+
+        Returns:
+            Tuple[bool, str, str]: returns the GOOGLE_API_USE_CLIENT_CERTIFICATE,
+            GOOGLE_API_USE_MTLS_ENDPOINT, and GOOGLE_CLOUD_UNIVERSE_DOMAIN environment variables.
+
+        Raises:
+            ValueError: If GOOGLE_API_USE_CLIENT_CERTIFICATE is not
+                any of ["true", "false"].
+            google.auth.exceptions.MutualTLSChannelError: If GOOGLE_API_USE_MTLS_ENDPOINT
+                is not any of ["auto", "never", "always"].
+        """
+        use_client_cert = os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false").lower()
+        use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto").lower()
+        universe_domain_env = os.getenv("GOOGLE_CLOUD_UNIVERSE_DOMAIN")
+        if use_client_cert not in ("true", "false"):
+            raise ValueError("Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`")
+        if use_mtls_endpoint not in ("auto", "never", "always"):
+            raise MutualTLSChannelError("Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`")
+        return use_client_cert == "true", use_mtls_endpoint, universe_domain_env
+
+    @staticmethod
+    def _get_client_cert_source(provided_cert_source, use_cert_flag):
+        """Return the client cert source to be used by the client.
+
+        Args:
+            provided_cert_source (bytes): The client certificate source provided.
+            use_cert_flag (bool): A flag indicating whether to use the client certificate.
+
+        Returns:
+            bytes or None: The client cert source to be used by the client.
+        """
+        client_cert_source = None
+        if use_cert_flag:
+            if provided_cert_source:
+                client_cert_source = provided_cert_source
+            elif mtls.has_default_client_cert_source():
+                client_cert_source = mtls.default_client_cert_source()
+        return client_cert_source
+
+    @staticmethod
+    def _get_api_endpoint(api_override, client_cert_source, universe_domain, use_mtls_endpoint):
+        """Return the API endpoint used by the client.
+
+        Args:
+            api_override (str): The API endpoint override. If specified, this is always
+                the return value of this function and the other arguments are not used.
+            client_cert_source (bytes): The client certificate source used by the client.
+            universe_domain (str): The universe domain used by the client.
+            use_mtls_endpoint (str): How to use the mTLS endpoint, which depends also on the other parameters.
+                Possible values are "always", "auto", or "never".
+
+        Returns:
+            str: The API endpoint to be used by the client.
+        """
+        if api_override is not None:
+            api_endpoint = api_override
+        elif use_mtls_endpoint == "always" or (use_mtls_endpoint == "auto" and client_cert_source):
+            _default_universe = ContentServiceClient._DEFAULT_UNIVERSE
+            if universe_domain != _default_universe:
+                raise MutualTLSChannelError(f"mTLS is not supported in any universe other than {_default_universe}.")
+            api_endpoint = ContentServiceClient.DEFAULT_MTLS_ENDPOINT
+        else:
+            api_endpoint = ContentServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=universe_domain)
+        return api_endpoint
+
+    @staticmethod
+    def _get_universe_domain(client_universe_domain: Optional[str], universe_domain_env: Optional[str]) -> str:
+        """Return the universe domain used by the client.
+
+        Args:
+            client_universe_domain (Optional[str]): The universe domain configured via the client options.
+            universe_domain_env (Optional[str]): The universe domain configured via the "GOOGLE_CLOUD_UNIVERSE_DOMAIN" environment variable.
+
+        Returns:
+            str: The universe domain to be used by the client.
+
+        Raises:
+            ValueError: If the universe domain is an empty string.
+        """
+        universe_domain = ContentServiceClient._DEFAULT_UNIVERSE
+        if client_universe_domain is not None:
+            universe_domain = client_universe_domain
+        elif universe_domain_env is not None:
+            universe_domain = universe_domain_env
+        if len(universe_domain.strip()) == 0:
+            raise ValueError("Universe Domain cannot be an empty string.")
+        return universe_domain
+
+    def _validate_universe_domain(self):
+        """Validates client's and credentials' universe domains are consistent.
+
+        Returns:
+            bool: True iff the configured universe domain is valid.
+
+        Raises:
+            ValueError: If the configured universe domain is not valid.
+        """
+
+        # NOTE (b/349488459): universe validation is disabled until further notice.
+        return True
+
+    @property
+    def api_endpoint(self):
+        """Return the API endpoint used by the client instance.
+
+        Returns:
+            str: The API endpoint used by the client instance.
+        """
+        return self._api_endpoint
+
+    @property
+    def universe_domain(self) -> str:
+        """Return the universe domain used by the client instance.
+
+        Returns:
+            str: The universe domain used by the client instance.
+        """
+        return self._universe_domain
+
+    def __init__(self, *,
+            credentials: Optional[ga_credentials.Credentials] = None,
+            transport: Optional[Union[str, ContentServiceTransport, Callable[..., ContentServiceTransport]]] = None,
+            client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None,
+            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
+            ) -> None:
+        """Instantiates the content service client.
+
+        Args:
+            credentials (Optional[google.auth.credentials.Credentials]): The
+                authorization credentials to attach to requests. These
+                credentials identify the application to the service; if none
+                are specified, the client will attempt to ascertain the
+                credentials from the environment.
+            transport (Optional[Union[str,ContentServiceTransport,Callable[..., ContentServiceTransport]]]):
+                The transport to use, or a Callable that constructs and returns a new transport.
+                If a Callable is given, it will be called with the same set of initialization
+                arguments as used in the ContentServiceTransport constructor.
+                If set to None, a transport is chosen automatically.
+            client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]):
+                Custom options for the client.
+
+                1. The ``api_endpoint`` property can be used to override the
+                default endpoint provided by the client when ``transport`` is
+                not explicitly provided. Only if this property is not set and
+                ``transport`` was not explicitly provided, the endpoint is
+                determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment
+                variable, which have one of the following values:
+                "always" (always use the default mTLS endpoint), "never" (always
+                use the default regular endpoint) and "auto" (auto-switch to the
+                default mTLS endpoint if client certificate is present; this is
+                the default value).
+
+                2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable
+                is "true", then the ``client_cert_source`` property can be used
+                to provide a client certificate for mTLS transport. If
+                not provided, the default SSL client certificate will be used if
+                present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not
+                set, no client certificate will be used.
+
+                3. The ``universe_domain`` property can be used to override the
+                default "googleapis.com" universe. Note that the ``api_endpoint``
+                property still takes precedence; and ``universe_domain`` is
+                currently not supported for mTLS.
+
+            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
+                The client info used to send a user-agent string along with
+                API requests. If ``None``, then default info will be used.
+                Generally, you only need to set this if you're developing
+                your own client library.
+
+        Raises:
+            google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport
+                creation failed for any reason.
+        """
+        self._client_options = client_options
+        if isinstance(self._client_options, dict):
+            self._client_options = client_options_lib.from_dict(self._client_options)
+        if self._client_options is None:
+            self._client_options = client_options_lib.ClientOptions()
+        self._client_options = cast(client_options_lib.ClientOptions, self._client_options)
+
+        universe_domain_opt = getattr(self._client_options, 'universe_domain', None)
+
+        self._use_client_cert, self._use_mtls_endpoint, self._universe_domain_env = ContentServiceClient._read_environment_variables()
+        self._client_cert_source = ContentServiceClient._get_client_cert_source(self._client_options.client_cert_source, self._use_client_cert)
+        self._universe_domain = ContentServiceClient._get_universe_domain(universe_domain_opt, self._universe_domain_env)
+        self._api_endpoint = None # updated below, depending on `transport`
+
+        # Initialize the universe domain validation.
+        self._is_universe_domain_valid = False
+
+        api_key_value = getattr(self._client_options, "api_key", None)
+        if api_key_value and credentials:
+            raise ValueError("client_options.api_key and credentials are mutually exclusive")
+
+        # Save or instantiate the transport.
+        # Ordinarily, we provide the transport, but allowing a custom transport
+        # instance provides an extensibility point for unusual situations.
+        transport_provided = isinstance(transport, ContentServiceTransport)
+        if transport_provided:
+            # transport is a ContentServiceTransport instance.
+            if credentials or self._client_options.credentials_file or api_key_value:
+                raise ValueError("When providing a transport instance, "
+                                 "provide its credentials directly.")
+            if self._client_options.scopes:
+                raise ValueError(
+                    "When providing a transport instance, provide its scopes "
+                    "directly."
+                )
+            self._transport = cast(ContentServiceTransport, transport)
+            self._api_endpoint = self._transport.host
+
+        self._api_endpoint = (self._api_endpoint or
+            ContentServiceClient._get_api_endpoint(
+                self._client_options.api_endpoint,
+                self._client_cert_source,
+                self._universe_domain,
+                self._use_mtls_endpoint))
+
+        if not transport_provided:
+            import google.auth._default  # type: ignore
+
+            if api_key_value and hasattr(google.auth._default, "get_api_key_credentials"):
+                credentials = google.auth._default.get_api_key_credentials(api_key_value)
+
+            transport_init: Union[Type[ContentServiceTransport], Callable[..., ContentServiceTransport]] = (
+                ContentServiceClient.get_transport_class(transport)
+                if isinstance(transport, str) or transport is None
+                else cast(Callable[..., ContentServiceTransport], transport)
+            )
+            # initialize with the provided callable or the passed in class
+            self._transport = transport_init(
+                credentials=credentials,
+                credentials_file=self._client_options.credentials_file,
+                host=self._api_endpoint,
+                scopes=self._client_options.scopes,
+                client_cert_source_for_mtls=self._client_cert_source,
+                quota_project_id=self._client_options.quota_project_id,
+                client_info=client_info,
+                always_use_jwt_access=True,
+                api_audience=self._client_options.api_audience,
+            )
+
+    def create_content(self,
+            request: Optional[Union[gcd_content.CreateContentRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            content: Optional[analyze.Content] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> analyze.Content:
+        r"""Create a content.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_create_content():
+                # Create a client
+                client = dataplex_v1.ContentServiceClient()
+
+                # Initialize request argument(s)
+                content = dataplex_v1.Content()
+                content.data_text = "data_text_value"
+                content.sql_script.engine = "SPARK"
+                content.path = "path_value"
+
+                request = dataplex_v1.CreateContentRequest(
+                    parent="parent_value",
+                    content=content,
+                )
+
+                # Make the request
+                response = client.create_content(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.CreateContentRequest, dict]):
+                The request object. Create content request.
+            parent (str):
+                Required. The resource name of the parent lake:
+                projects/{project_id}/locations/{location_id}/lakes/{lake_id}
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            content (google.cloud.dataplex_v1.types.Content):
+                Required. Content resource.
+                This corresponds to the ``content`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.Content:
+                Content represents a user-visible
+                notebook or a sql script
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent, content])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, gcd_content.CreateContentRequest):
+            request = gcd_content.CreateContentRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if parent is not None:
+                request.parent = parent
+            if content is not None:
+                request.content = content
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.create_content]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def update_content(self,
+            request: Optional[Union[gcd_content.UpdateContentRequest, dict]] = None,
+            *,
+            content: Optional[analyze.Content] = None,
+            update_mask: Optional[field_mask_pb2.FieldMask] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> analyze.Content:
+        r"""Update a content. Only supports full resource update.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_update_content():
+                # Create a client
+                client = dataplex_v1.ContentServiceClient()
+
+                # Initialize request argument(s)
+                content = dataplex_v1.Content()
+                content.data_text = "data_text_value"
+                content.sql_script.engine = "SPARK"
+                content.path = "path_value"
+
+                request = dataplex_v1.UpdateContentRequest(
+                    content=content,
+                )
+
+                # Make the request
+                response = client.update_content(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.UpdateContentRequest, dict]):
+                The request object. Update content request.
+            content (google.cloud.dataplex_v1.types.Content):
+                Required. Update description. Only fields specified in
+                ``update_mask`` are updated.
+
+                This corresponds to the ``content`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            update_mask (google.protobuf.field_mask_pb2.FieldMask):
+                Required. Mask of fields to update.
+                This corresponds to the ``update_mask`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.Content:
+                Content represents a user-visible
+                notebook or a sql script
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([content, update_mask])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, gcd_content.UpdateContentRequest):
+            request = gcd_content.UpdateContentRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if content is not None:
+                request.content = content
+            if update_mask is not None:
+                request.update_mask = update_mask
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.update_content]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("content.name", request.content.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def delete_content(self,
+            request: Optional[Union[content.DeleteContentRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> None:
+        r"""Delete a content.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_delete_content():
+                # Create a client
+                client = dataplex_v1.ContentServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.DeleteContentRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                client.delete_content(request=request)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.DeleteContentRequest, dict]):
+                The request object. Delete content request.
+            name (str):
+                Required. The resource name of the content:
+                projects/{project_id}/locations/{location_id}/lakes/{lake_id}/content/{content_id}
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, content.DeleteContentRequest):
+            request = content.DeleteContentRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if name is not None:
+                request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.delete_content]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+    def get_content(self,
+            request: Optional[Union[content.GetContentRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> analyze.Content:
+        r"""Get a content resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_get_content():
+                # Create a client
+                client = dataplex_v1.ContentServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.GetContentRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                response = client.get_content(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.GetContentRequest, dict]):
+                The request object. Get content request.
+            name (str):
+                Required. The resource name of the content:
+                projects/{project_id}/locations/{location_id}/lakes/{lake_id}/content/{content_id}
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.Content:
+                Content represents a user-visible
+                notebook or a sql script
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, content.GetContentRequest):
+            request = content.GetContentRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if name is not None:
+                request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.get_content]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def get_iam_policy(self,
+            request: Optional[Union[iam_policy_pb2.GetIamPolicyRequest, dict]] = None,
+            *,
+            resource: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> policy_pb2.Policy:
+        r"""Gets the access control policy for a contentitem resource. A
+        ``NOT_FOUND`` error is returned if the resource does not exist.
+        An empty policy is returned if the resource exists but does not
+        have a policy set on it.
+
+        Caller must have Google IAM ``dataplex.content.getIamPolicy``
+        permission on the resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+            from google.iam.v1 import iam_policy_pb2  # type: ignore
+
+            def sample_get_iam_policy():
+                # Create a client
+                client = dataplex_v1.ContentServiceClient()
+
+                # Initialize request argument(s)
+                request = iam_policy_pb2.GetIamPolicyRequest(
+                    resource="resource_value",
+                )
+
+                # Make the request
+                response = client.get_iam_policy(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest, dict]):
+                The request object. Request message for ``GetIamPolicy`` method.
+            resource (str):
+                REQUIRED: The resource for which the
+                policy is being requested. See the
+                operation documentation for the
+                appropriate value for this field.
+
+                This corresponds to the ``resource`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.iam.v1.policy_pb2.Policy:
+                An Identity and Access Management (IAM) policy, which specifies access
+                   controls for Google Cloud resources.
+
+                   A Policy is a collection of bindings. A binding binds
+                   one or more members, or principals, to a single role.
+                   Principals can be user accounts, service accounts,
+                   Google groups, and domains (such as G Suite). A role
+                   is a named list of permissions; each role can be an
+                   IAM predefined role or a user-created custom role.
+
+                   For some types of Google Cloud resources, a binding
+                   can also specify a condition, which is a logical
+                   expression that allows access to a resource only if
+                   the expression evaluates to true. A condition can add
+                   constraints based on attributes of the request, the
+                   resource, or both. To learn which resources support
+                   conditions in their IAM policies, see the [IAM
+                   documentation](\ https://cloud.google.com/iam/help/conditions/resource-policies).
+
+                   **JSON example:**
+
+                   :literal:`\`     {       "bindings": [         {           "role": "roles/resourcemanager.organizationAdmin",           "members": [             "user:mike@example.com",             "group:admins@example.com",             "domain:google.com",             "serviceAccount:my-project-id@appspot.gserviceaccount.com"           ]         },         {           "role": "roles/resourcemanager.organizationViewer",           "members": [             "user:eve@example.com"           ],           "condition": {             "title": "expirable access",             "description": "Does not grant access after Sep 2020",             "expression": "request.time <             timestamp('2020-10-01T00:00:00.000Z')",           }         }       ],       "etag": "BwWWja0YfJA=",       "version": 3     }`\ \`
+
+                   **YAML example:**
+
+                   :literal:`\`     bindings:     - members:       - user:mike@example.com       - group:admins@example.com       - domain:google.com       - serviceAccount:my-project-id@appspot.gserviceaccount.com       role: roles/resourcemanager.organizationAdmin     - members:       - user:eve@example.com       role: roles/resourcemanager.organizationViewer       condition:         title: expirable access         description: Does not grant access after Sep 2020         expression: request.time < timestamp('2020-10-01T00:00:00.000Z')     etag: BwWWja0YfJA=     version: 3`\ \`
+
+                   For a description of IAM and its features, see the
+                   [IAM
+                   documentation](\ https://cloud.google.com/iam/docs/).
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([resource])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        if isinstance(request, dict):
+            # - The request isn't a proto-plus wrapped type,
+            #   so it must be constructed via keyword expansion.
+            request = iam_policy_pb2.GetIamPolicyRequest(**request)
+        elif not request:
+            # Null request, just make one.
+            request = iam_policy_pb2.GetIamPolicyRequest()
+            if resource is not None:
+                request.resource = resource
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.get_iam_policy]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("resource", request.resource),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def set_iam_policy(self,
+            request: Optional[Union[iam_policy_pb2.SetIamPolicyRequest, dict]] = None,
+            *,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> policy_pb2.Policy:
+        r"""Sets the access control policy on the specified contentitem
+        resource. Replaces any existing policy.
+
+        Caller must have Google IAM ``dataplex.content.setIamPolicy``
+        permission on the resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+            from google.iam.v1 import iam_policy_pb2  # type: ignore
+
+            def sample_set_iam_policy():
+                # Create a client
+                client = dataplex_v1.ContentServiceClient()
+
+                # Initialize request argument(s)
+                request = iam_policy_pb2.SetIamPolicyRequest(
+                    resource="resource_value",
+                )
+
+                # Make the request
+                response = client.set_iam_policy(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest, dict]):
+                The request object. Request message for ``SetIamPolicy`` method.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.iam.v1.policy_pb2.Policy:
+                An Identity and Access Management (IAM) policy, which specifies access
+                   controls for Google Cloud resources.
+
+                   A Policy is a collection of bindings. A binding binds
+                   one or more members, or principals, to a single role.
+                   Principals can be user accounts, service accounts,
+                   Google groups, and domains (such as G Suite). A role
+                   is a named list of permissions; each role can be an
+                   IAM predefined role or a user-created custom role.
+
+                   For some types of Google Cloud resources, a binding
+                   can also specify a condition, which is a logical
+                   expression that allows access to a resource only if
+                   the expression evaluates to true. A condition can add
+                   constraints based on attributes of the request, the
+                   resource, or both. To learn which resources support
+                   conditions in their IAM policies, see the [IAM
+                   documentation](\ https://cloud.google.com/iam/help/conditions/resource-policies).
+
+                   **JSON example:**
+
+                   :literal:`\`     {       "bindings": [         {           "role": "roles/resourcemanager.organizationAdmin",           "members": [             "user:mike@example.com",             "group:admins@example.com",             "domain:google.com",             "serviceAccount:my-project-id@appspot.gserviceaccount.com"           ]         },         {           "role": "roles/resourcemanager.organizationViewer",           "members": [             "user:eve@example.com"           ],           "condition": {             "title": "expirable access",             "description": "Does not grant access after Sep 2020",             "expression": "request.time <             timestamp('2020-10-01T00:00:00.000Z')",           }         }       ],       "etag": "BwWWja0YfJA=",       "version": 3     }`\ \`
+
+                   **YAML example:**
+
+                   :literal:`\`     bindings:     - members:       - user:mike@example.com       - group:admins@example.com       - domain:google.com       - serviceAccount:my-project-id@appspot.gserviceaccount.com       role: roles/resourcemanager.organizationAdmin     - members:       - user:eve@example.com       role: roles/resourcemanager.organizationViewer       condition:         title: expirable access         description: Does not grant access after Sep 2020         expression: request.time < timestamp('2020-10-01T00:00:00.000Z')     etag: BwWWja0YfJA=     version: 3`\ \`
+
+                   For a description of IAM and its features, see the
+                   [IAM
+                   documentation](\ https://cloud.google.com/iam/docs/).
+
+        """
+        # Create or coerce a protobuf request object.
+        if isinstance(request, dict):
+            # - The request isn't a proto-plus wrapped type,
+            #   so it must be constructed via keyword expansion.
+            request = iam_policy_pb2.SetIamPolicyRequest(**request)
+        elif not request:
+            # Null request, just make one.
+            request = iam_policy_pb2.SetIamPolicyRequest()
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.set_iam_policy]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("resource", request.resource),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def test_iam_permissions(self,
+            request: Optional[Union[iam_policy_pb2.TestIamPermissionsRequest, dict]] = None,
+            *,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> iam_policy_pb2.TestIamPermissionsResponse:
+        r"""Returns the caller's permissions on a resource. If the resource
+        does not exist, an empty set of permissions is returned (a
+        ``NOT_FOUND`` error is not returned).
+
+        A caller is not required to have Google IAM permission to make
+        this request.
+
+        Note: This operation is designed to be used for building
+        permission-aware UIs and command-line tools, not for
+        authorization checking. This operation may "fail open" without
+        warning.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+            from google.iam.v1 import iam_policy_pb2  # type: ignore
+
+            def sample_test_iam_permissions():
+                # Create a client
+                client = dataplex_v1.ContentServiceClient()
+
+                # Initialize request argument(s)
+                request = iam_policy_pb2.TestIamPermissionsRequest(
+                    resource="resource_value",
+                    permissions=['permissions_value1', 'permissions_value2'],
+                )
+
+                # Make the request
+                response = client.test_iam_permissions(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest, dict]):
+                The request object. Request message for ``TestIamPermissions`` method.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse:
+                Response message for TestIamPermissions method.
+        """
+        # Create or coerce a protobuf request object.
+        if isinstance(request, dict):
+            # - The request isn't a proto-plus wrapped type,
+            #   so it must be constructed via keyword expansion.
+            request = iam_policy_pb2.TestIamPermissionsRequest(**request)
+        elif not request:
+            # Null request, just make one.
+            request = iam_policy_pb2.TestIamPermissionsRequest()
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.test_iam_permissions]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("resource", request.resource),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def list_content(self,
+            request: Optional[Union[content.ListContentRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> pagers.ListContentPager:
+        r"""List content.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_list_content():
+                # Create a client
+                client = dataplex_v1.ContentServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.ListContentRequest(
+                    parent="parent_value",
+                )
+
+                # Make the request
+                page_result = client.list_content(request=request)
+
+                # Handle the response
+                for response in page_result:
+                    print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.ListContentRequest, dict]):
+                The request object. List content request. Returns the
+                BASIC Content view.
+            parent (str):
+                Required. The resource name of the parent lake:
+                projects/{project_id}/locations/{location_id}/lakes/{lake_id}
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.services.content_service.pagers.ListContentPager:
+                List content response.
+
+                Iterating over this object will yield
+                results and resolve additional pages
+                automatically.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, content.ListContentRequest):
+            request = content.ListContentRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if parent is not None:
+                request.parent = parent
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.list_content]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # This method is paged; wrap the response in a pager, which provides
+        # an `__iter__` convenience method.
+        response = pagers.ListContentPager(
+            method=rpc,
+            request=request,
+            response=response,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def __enter__(self) -> "ContentServiceClient":
+        return self
+
+    def __exit__(self, type, value, traceback):
+        """Releases underlying transport's resources.
+
+        .. warning::
+            ONLY use as a context manager if the transport is NOT shared
+            with other clients! Exiting the with block will CLOSE the transport
+            and may cause errors in other clients!
+        """
+        self.transport.close()
+
+    def list_operations(
+        self,
+        request: Optional[operations_pb2.ListOperationsRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> operations_pb2.ListOperationsResponse:
+        r"""Lists operations that match the specified filter in the request.
+
+        Args:
+            request (:class:`~.operations_pb2.ListOperationsRequest`):
+                The request object. Request message for
+                `ListOperations` method.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.operations_pb2.ListOperationsResponse:
+                Response message for ``ListOperations`` method.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.ListOperationsRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.list_operations]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request, retry=retry, timeout=timeout, metadata=metadata,)
+
+        # Done; return the response.
+        return response
+
+    def get_operation(
+        self,
+        request: Optional[operations_pb2.GetOperationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> operations_pb2.Operation:
+        r"""Gets the latest state of a long-running operation.
+
+        Args:
+            request (:class:`~.operations_pb2.GetOperationRequest`):
+                The request object. Request message for
+                `GetOperation` method.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.operations_pb2.Operation:
+                An ``Operation`` object.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.GetOperationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.get_operation]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request, retry=retry, timeout=timeout, metadata=metadata,)
+
+        # Done; return the response.
+        return response
+
+    def delete_operation(
+        self,
+        request: Optional[operations_pb2.DeleteOperationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> None:
+        r"""Deletes a long-running operation.
+
+        This method indicates that the client is no longer interested
+        in the operation result. It does not cancel the operation.
+        If the server doesn't support this method, it returns
+        `google.rpc.Code.UNIMPLEMENTED`.
+
+        Args:
+            request (:class:`~.operations_pb2.DeleteOperationRequest`):
+                The request object. Request message for
+                `DeleteOperation` method.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            None
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.DeleteOperationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.delete_operation]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
+
+    def cancel_operation(
+        self,
+        request: Optional[operations_pb2.CancelOperationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> None:
+        r"""Starts asynchronous cancellation on a long-running operation.
+
+        The server makes a best effort to cancel the operation, but success
+        is not guaranteed.  If the server doesn't support this method, it returns
+        `google.rpc.Code.UNIMPLEMENTED`.
+
+        Args:
+            request (:class:`~.operations_pb2.CancelOperationRequest`):
+                The request object. Request message for
+                `CancelOperation` method.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            None
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.CancelOperationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.cancel_operation]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
+
+    def get_location(
+        self,
+        request: Optional[locations_pb2.GetLocationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> locations_pb2.Location:
+        r"""Gets information about a location.
+
+        Args:
+            request (:class:`~.location_pb2.GetLocationRequest`):
+                The request object. Request message for
+                `GetLocation` method.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                 if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.location_pb2.Location:
+                Location object.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = locations_pb2.GetLocationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.get_location]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request, retry=retry, timeout=timeout, metadata=metadata,)
+
+        # Done; return the response.
+        return response
+
+    def list_locations(
+        self,
+        request: Optional[locations_pb2.ListLocationsRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> locations_pb2.ListLocationsResponse:
+        r"""Lists information about the supported locations for this service.
+
+        Args:
+            request (:class:`~.location_pb2.ListLocationsRequest`):
+                The request object. Request message for
+                `ListLocations` method.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                 if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.location_pb2.ListLocationsResponse:
+                Response message for ``ListLocations`` method.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = locations_pb2.ListLocationsRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.list_locations]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request, retry=retry, timeout=timeout, metadata=metadata,)
+
+        # Done; return the response.
+        return response
+
+
+DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(gapic_version=package_version.__version__)
+
+
+__all__ = (
+    "ContentServiceClient",
+)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/content_service/pagers.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/content_service/pagers.py
new file mode 100644
index 000000000000..3659ec82f6fd
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/content_service/pagers.py
@@ -0,0 +1,163 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from google.api_core import gapic_v1
+from google.api_core import retry as retries
+from google.api_core import retry_async as retries_async
+from typing import Any, AsyncIterator, Awaitable, Callable, Sequence, Tuple, Optional, Iterator, Union
+try:
+    OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None]
+    OptionalAsyncRetry = Union[retries_async.AsyncRetry, gapic_v1.method._MethodDefault, None]
+except AttributeError:  # pragma: NO COVER
+    OptionalRetry = Union[retries.Retry, object, None]  # type: ignore
+    OptionalAsyncRetry = Union[retries_async.AsyncRetry, object, None]  # type: ignore
+
+from google.cloud.dataplex_v1.types import analyze
+from google.cloud.dataplex_v1.types import content
+
+
+class ListContentPager:
+    """A pager for iterating through ``list_content`` requests.
+
+    This class thinly wraps an initial
+    :class:`google.cloud.dataplex_v1.types.ListContentResponse` object, and
+    provides an ``__iter__`` method to iterate through its
+    ``content`` field.
+
+    If there are more pages, the ``__iter__`` method will make additional
+    ``ListContent`` requests and continue to iterate
+    through the ``content`` field on the
+    corresponding responses.
+
+    All the usual :class:`google.cloud.dataplex_v1.types.ListContentResponse`
+    attributes are available on the pager. If multiple requests are made, only
+    the most recent response is retained, and thus used for attribute lookup.
+    """
+    def __init__(self,
+            method: Callable[..., content.ListContentResponse],
+            request: content.ListContentRequest,
+            response: content.ListContentResponse,
+            *,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = ()):
+        """Instantiate the pager.
+
+        Args:
+            method (Callable): The method that was originally called, and
+                which instantiated this pager.
+            request (google.cloud.dataplex_v1.types.ListContentRequest):
+                The initial request object.
+            response (google.cloud.dataplex_v1.types.ListContentResponse):
+                The initial response object.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        self._method = method
+        self._request = content.ListContentRequest(request)
+        self._response = response
+        self._retry = retry
+        self._timeout = timeout
+        self._metadata = metadata
+
+    def __getattr__(self, name: str) -> Any:
+        return getattr(self._response, name)
+
+    @property
+    def pages(self) -> Iterator[content.ListContentResponse]:
+        yield self._response
+        while self._response.next_page_token:
+            self._request.page_token = self._response.next_page_token
+            self._response = self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
+            yield self._response
+
+    def __iter__(self) -> Iterator[analyze.Content]:
+        for page in self.pages:
+            yield from page.content
+
+    def __repr__(self) -> str:
+        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
+
+
+class ListContentAsyncPager:
+    """A pager for iterating through ``list_content`` requests.
+
+    This class thinly wraps an initial
+    :class:`google.cloud.dataplex_v1.types.ListContentResponse` object, and
+    provides an ``__aiter__`` method to iterate through its
+    ``content`` field.
+
+    If there are more pages, the ``__aiter__`` method will make additional
+    ``ListContent`` requests and continue to iterate
+    through the ``content`` field on the
+    corresponding responses.
+
+    All the usual :class:`google.cloud.dataplex_v1.types.ListContentResponse`
+    attributes are available on the pager. If multiple requests are made, only
+    the most recent response is retained, and thus used for attribute lookup.
+    """
+    def __init__(self,
+            method: Callable[..., Awaitable[content.ListContentResponse]],
+            request: content.ListContentRequest,
+            response: content.ListContentResponse,
+            *,
+            retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = ()):
+        """Instantiates the pager.
+
+        Args:
+            method (Callable): The method that was originally called, and
+                which instantiated this pager.
+            request (google.cloud.dataplex_v1.types.ListContentRequest):
+                The initial request object.
+            response (google.cloud.dataplex_v1.types.ListContentResponse):
+                The initial response object.
+            retry (google.api_core.retry.AsyncRetry): Designation of what errors,
+                if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        self._method = method
+        self._request = content.ListContentRequest(request)
+        self._response = response
+        self._retry = retry
+        self._timeout = timeout
+        self._metadata = metadata
+
+    def __getattr__(self, name: str) -> Any:
+        return getattr(self._response, name)
+
+    @property
+    async def pages(self) -> AsyncIterator[content.ListContentResponse]:
+        yield self._response
+        while self._response.next_page_token:
+            self._request.page_token = self._response.next_page_token
+            self._response = await self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
+            yield self._response
+    def __aiter__(self) -> AsyncIterator[analyze.Content]:
+        async def async_generator():
+            async for page in self.pages:
+                for response in page.content:
+                    yield response
+
+        return async_generator()
+
+    def __repr__(self) -> str:
+        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/content_service/transports/README.rst b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/content_service/transports/README.rst
new file mode 100644
index 000000000000..f737919bf8e5
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/content_service/transports/README.rst
@@ -0,0 +1,9 @@
+
+transport inheritance structure
+_______________________________
+
+`ContentServiceTransport` is the ABC for all transports.
+- public child `ContentServiceGrpcTransport` for sync gRPC transport (defined in `grpc.py`).
+- public child `ContentServiceGrpcAsyncIOTransport` for async gRPC transport (defined in `grpc_asyncio.py`).
+- private child `_BaseContentServiceRestTransport` for base REST transport with inner classes `_BaseMETHOD` (defined in `rest_base.py`).
+- public child `ContentServiceRestTransport` for sync REST transport with inner classes `METHOD` derived from the parent's corresponding `_BaseMETHOD` classes (defined in `rest.py`).
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/content_service/transports/__init__.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/content_service/transports/__init__.py
new file mode 100644
index 000000000000..700cca6c0dfc
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/content_service/transports/__init__.py
@@ -0,0 +1,33 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from collections import OrderedDict
+from typing import Dict, Type
+
+from .base import ContentServiceTransport
+from .grpc import ContentServiceGrpcTransport
+from .grpc_asyncio import ContentServiceGrpcAsyncIOTransport
+
+
+# Compile a registry of transports.
+_transport_registry = OrderedDict()  # type: Dict[str, Type[ContentServiceTransport]]
+_transport_registry['grpc'] = ContentServiceGrpcTransport
+_transport_registry['grpc_asyncio'] = ContentServiceGrpcAsyncIOTransport
+
+__all__ = (
+    'ContentServiceTransport',
+    'ContentServiceGrpcTransport',
+    'ContentServiceGrpcAsyncIOTransport',
+)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/content_service/transports/base.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/content_service/transports/base.py
new file mode 100644
index 000000000000..7d77d96adb47
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/content_service/transports/base.py
@@ -0,0 +1,377 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+import abc
+from typing import Awaitable, Callable, Dict, Optional, Sequence, Union
+
+from google.cloud.dataplex_v1 import gapic_version as package_version
+
+import google.auth  # type: ignore
+import google.api_core
+from google.api_core import exceptions as core_exceptions
+from google.api_core import gapic_v1
+from google.api_core import retry as retries
+from google.auth import credentials as ga_credentials  # type: ignore
+from google.oauth2 import service_account # type: ignore
+
+from google.cloud.dataplex_v1.types import analyze
+from google.cloud.dataplex_v1.types import content
+from google.cloud.dataplex_v1.types import content as gcd_content
+from google.cloud.location import locations_pb2 # type: ignore
+from google.iam.v1 import iam_policy_pb2  # type: ignore
+from google.iam.v1 import policy_pb2  # type: ignore
+from google.longrunning import operations_pb2 # type: ignore
+from google.protobuf import empty_pb2  # type: ignore
+
+DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(gapic_version=package_version.__version__)
+
+
+class ContentServiceTransport(abc.ABC):
+    """Abstract transport class for ContentService."""
+
+    AUTH_SCOPES = (
+        'https://www.googleapis.com/auth/cloud-platform',
+    )
+
+    DEFAULT_HOST: str = 'dataplex.googleapis.com'
+    def __init__(
+            self, *,
+            host: str = DEFAULT_HOST,
+            credentials: Optional[ga_credentials.Credentials] = None,
+            credentials_file: Optional[str] = None,
+            scopes: Optional[Sequence[str]] = None,
+            quota_project_id: Optional[str] = None,
+            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
+            always_use_jwt_access: Optional[bool] = False,
+            api_audience: Optional[str] = None,
+            **kwargs,
+            ) -> None:
+        """Instantiate the transport.
+
+        Args:
+            host (Optional[str]):
+                 The hostname to connect to (default: 'dataplex.googleapis.com').
+            credentials (Optional[google.auth.credentials.Credentials]): The
+                authorization credentials to attach to requests. These
+                credentials identify the application to the service; if none
+                are specified, the client will attempt to ascertain the
+                credentials from the environment.
+            credentials_file (Optional[str]): A file with credentials that can
+                be loaded with :func:`google.auth.load_credentials_from_file`.
+                This argument is mutually exclusive with credentials.
+            scopes (Optional[Sequence[str]]): A list of scopes.
+            quota_project_id (Optional[str]): An optional project to use for billing
+                and quota.
+            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
+                The client info used to send a user-agent string along with
+                API requests. If ``None``, then default info will be used.
+                Generally, you only need to set this if you're developing
+                your own client library.
+            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
+                be used for service account credentials.
+        """
+
+        scopes_kwargs = {"scopes": scopes, "default_scopes": self.AUTH_SCOPES}
+
+        # Save the scopes.
+        self._scopes = scopes
+        if not hasattr(self, "_ignore_credentials"):
+            self._ignore_credentials: bool = False
+
+        # If no credentials are provided, then determine the appropriate
+        # defaults.
+        if credentials and credentials_file:
+            raise core_exceptions.DuplicateCredentialArgs("'credentials_file' and 'credentials' are mutually exclusive")
+
+        if credentials_file is not None:
+            credentials, _ = google.auth.load_credentials_from_file(
+                                credentials_file,
+                                **scopes_kwargs,
+                                quota_project_id=quota_project_id
+                            )
+        elif credentials is None and not self._ignore_credentials:
+            credentials, _ = google.auth.default(**scopes_kwargs, quota_project_id=quota_project_id)
+            # Don't apply audience if the credentials file passed from user.
+            if hasattr(credentials, "with_gdch_audience"):
+                credentials = credentials.with_gdch_audience(api_audience if api_audience else host)
+
+        # If the credentials are service account credentials, then always try to use self signed JWT.
+        if always_use_jwt_access and isinstance(credentials, service_account.Credentials) and hasattr(service_account.Credentials, "with_always_use_jwt_access"):
+            credentials = credentials.with_always_use_jwt_access(True)
+
+        # Save the credentials.
+        self._credentials = credentials
+
+        # Save the hostname. Default to port 443 (HTTPS) if none is specified.
+        if ':' not in host:
+            host += ':443'
+        self._host = host
+
+    @property
+    def host(self):
+        return self._host
+
+    def _prep_wrapped_messages(self, client_info):
+        # Precompute the wrapped methods.
+        self._wrapped_methods = {
+            self.create_content: gapic_v1.method.wrap_method(
+                self.create_content,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.update_content: gapic_v1.method.wrap_method(
+                self.update_content,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.delete_content: gapic_v1.method.wrap_method(
+                self.delete_content,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.get_content: gapic_v1.method.wrap_method(
+                self.get_content,
+                default_retry=retries.Retry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.get_iam_policy: gapic_v1.method.wrap_method(
+                self.get_iam_policy,
+                default_retry=retries.Retry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.set_iam_policy: gapic_v1.method.wrap_method(
+                self.set_iam_policy,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.test_iam_permissions: gapic_v1.method.wrap_method(
+                self.test_iam_permissions,
+                default_retry=retries.Retry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.list_content: gapic_v1.method.wrap_method(
+                self.list_content,
+                default_retry=retries.Retry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.get_location: gapic_v1.method.wrap_method(
+                self.get_location,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.list_locations: gapic_v1.method.wrap_method(
+                self.list_locations,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.cancel_operation: gapic_v1.method.wrap_method(
+                self.cancel_operation,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.delete_operation: gapic_v1.method.wrap_method(
+                self.delete_operation,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.get_operation: gapic_v1.method.wrap_method(
+                self.get_operation,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.list_operations: gapic_v1.method.wrap_method(
+                self.list_operations,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+         }
+
+    def close(self):
+        """Closes resources associated with the transport.
+
+       .. warning::
+            Only call this method if the transport is NOT shared
+            with other clients - this may cause errors in other clients!
+        """
+        raise NotImplementedError()
+
+    @property
+    def create_content(self) -> Callable[
+            [gcd_content.CreateContentRequest],
+            Union[
+                analyze.Content,
+                Awaitable[analyze.Content]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def update_content(self) -> Callable[
+            [gcd_content.UpdateContentRequest],
+            Union[
+                analyze.Content,
+                Awaitable[analyze.Content]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def delete_content(self) -> Callable[
+            [content.DeleteContentRequest],
+            Union[
+                empty_pb2.Empty,
+                Awaitable[empty_pb2.Empty]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def get_content(self) -> Callable[
+            [content.GetContentRequest],
+            Union[
+                analyze.Content,
+                Awaitable[analyze.Content]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def get_iam_policy(self) -> Callable[
+            [iam_policy_pb2.GetIamPolicyRequest],
+            Union[
+                policy_pb2.Policy,
+                Awaitable[policy_pb2.Policy]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def set_iam_policy(self) -> Callable[
+            [iam_policy_pb2.SetIamPolicyRequest],
+            Union[
+                policy_pb2.Policy,
+                Awaitable[policy_pb2.Policy]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def test_iam_permissions(self) -> Callable[
+            [iam_policy_pb2.TestIamPermissionsRequest],
+            Union[
+                iam_policy_pb2.TestIamPermissionsResponse,
+                Awaitable[iam_policy_pb2.TestIamPermissionsResponse]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def list_content(self) -> Callable[
+            [content.ListContentRequest],
+            Union[
+                content.ListContentResponse,
+                Awaitable[content.ListContentResponse]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def list_operations(
+        self,
+    ) -> Callable[
+        [operations_pb2.ListOperationsRequest],
+        Union[operations_pb2.ListOperationsResponse, Awaitable[operations_pb2.ListOperationsResponse]],
+    ]:
+        raise NotImplementedError()
+
+    @property
+    def get_operation(
+        self,
+    ) -> Callable[
+        [operations_pb2.GetOperationRequest],
+        Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]],
+    ]:
+        raise NotImplementedError()
+
+    @property
+    def cancel_operation(
+        self,
+    ) -> Callable[
+        [operations_pb2.CancelOperationRequest],
+        None,
+    ]:
+        raise NotImplementedError()
+
+    @property
+    def delete_operation(
+        self,
+    ) -> Callable[
+        [operations_pb2.DeleteOperationRequest],
+        None,
+    ]:
+        raise NotImplementedError()
+
+    @property
+    def get_location(self,
+    ) -> Callable[
+        [locations_pb2.GetLocationRequest],
+        Union[locations_pb2.Location, Awaitable[locations_pb2.Location]],
+    ]:
+        raise NotImplementedError()
+
+    @property
+    def list_locations(self,
+    ) -> Callable[
+        [locations_pb2.ListLocationsRequest],
+        Union[locations_pb2.ListLocationsResponse, Awaitable[locations_pb2.ListLocationsResponse]],
+    ]:
+        raise NotImplementedError()
+
+    @property
+    def kind(self) -> str:
+        raise NotImplementedError()
+
+
+__all__ = (
+    'ContentServiceTransport',
+)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/content_service/transports/grpc.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/content_service/transports/grpc.py
new file mode 100644
index 000000000000..54d08d185201
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/content_service/transports/grpc.py
@@ -0,0 +1,587 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+import warnings
+from typing import Callable, Dict, Optional, Sequence, Tuple, Union
+
+from google.api_core import grpc_helpers
+from google.api_core import gapic_v1
+import google.auth                         # type: ignore
+from google.auth import credentials as ga_credentials  # type: ignore
+from google.auth.transport.grpc import SslCredentials  # type: ignore
+
+import grpc  # type: ignore
+
+from google.cloud.dataplex_v1.types import analyze
+from google.cloud.dataplex_v1.types import content
+from google.cloud.dataplex_v1.types import content as gcd_content
+from google.cloud.location import locations_pb2 # type: ignore
+from google.iam.v1 import iam_policy_pb2  # type: ignore
+from google.iam.v1 import policy_pb2  # type: ignore
+from google.longrunning import operations_pb2 # type: ignore
+from google.protobuf import empty_pb2  # type: ignore
+from .base import ContentServiceTransport, DEFAULT_CLIENT_INFO
+
+
+class ContentServiceGrpcTransport(ContentServiceTransport):
+    """gRPC backend transport for ContentService.
+
+    ContentService manages Notebook and SQL Scripts for Dataplex.
+
+    This class defines the same methods as the primary client, so the
+    primary client can load the underlying transport implementation
+    and call it.
+
+    It sends protocol buffers over the wire using gRPC (which is built on
+    top of HTTP/2); the ``grpcio`` package must be installed.
+    """
+    _stubs: Dict[str, Callable]
+
+    def __init__(self, *,
+            host: str = 'dataplex.googleapis.com',
+            credentials: Optional[ga_credentials.Credentials] = None,
+            credentials_file: Optional[str] = None,
+            scopes: Optional[Sequence[str]] = None,
+            channel: Optional[Union[grpc.Channel, Callable[..., grpc.Channel]]] = None,
+            api_mtls_endpoint: Optional[str] = None,
+            client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
+            ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None,
+            client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
+            quota_project_id: Optional[str] = None,
+            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
+            always_use_jwt_access: Optional[bool] = False,
+            api_audience: Optional[str] = None,
+            ) -> None:
+        """Instantiate the transport.
+
+        Args:
+            host (Optional[str]):
+                 The hostname to connect to (default: 'dataplex.googleapis.com').
+            credentials (Optional[google.auth.credentials.Credentials]): The
+                authorization credentials to attach to requests. These
+                credentials identify the application to the service; if none
+                are specified, the client will attempt to ascertain the
+                credentials from the environment.
+                This argument is ignored if a ``channel`` instance is provided.
+            credentials_file (Optional[str]): A file with credentials that can
+                be loaded with :func:`google.auth.load_credentials_from_file`.
+                This argument is ignored if a ``channel`` instance is provided.
+            scopes (Optional(Sequence[str])): A list of scopes. This argument is
+                ignored if a ``channel`` instance is provided.
+            channel (Optional[Union[grpc.Channel, Callable[..., grpc.Channel]]]):
+                A ``Channel`` instance through which to make calls, or a Callable
+                that constructs and returns one. If set to None, ``self.create_channel``
+                is used to create the channel. If a Callable is given, it will be called
+                with the same arguments as used in ``self.create_channel``.
+            api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint.
+                If provided, it overrides the ``host`` argument and tries to create
+                a mutual TLS channel with client SSL credentials from
+                ``client_cert_source`` or application default SSL credentials.
+            client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]):
+                Deprecated. A callback to provide client SSL certificate bytes and
+                private key bytes, both in PEM format. It is ignored if
+                ``api_mtls_endpoint`` is None.
+            ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials
+                for the grpc channel. It is ignored if a ``channel`` instance is provided.
+            client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]):
+                A callback to provide client certificate bytes and private key bytes,
+                both in PEM format. It is used to configure a mutual TLS channel. It is
+                ignored if a ``channel`` instance or ``ssl_channel_credentials`` is provided.
+            quota_project_id (Optional[str]): An optional project to use for billing
+                and quota.
+            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
+                The client info used to send a user-agent string along with
+                API requests. If ``None``, then default info will be used.
+                Generally, you only need to set this if you're developing
+                your own client library.
+            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
+                be used for service account credentials.
+
+        Raises:
+          google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport
+              creation failed for any reason.
+          google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials``
+              and ``credentials_file`` are passed.
+        """
+        self._grpc_channel = None
+        self._ssl_channel_credentials = ssl_channel_credentials
+        self._stubs: Dict[str, Callable] = {}
+
+        if api_mtls_endpoint:
+            warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning)
+        if client_cert_source:
+            warnings.warn("client_cert_source is deprecated", DeprecationWarning)
+
+        if isinstance(channel, grpc.Channel):
+            # Ignore credentials if a channel was passed.
+            credentials = None
+            self._ignore_credentials = True
+            # If a channel was explicitly provided, set it.
+            self._grpc_channel = channel
+            self._ssl_channel_credentials = None
+
+        else:
+            if api_mtls_endpoint:
+                host = api_mtls_endpoint
+
+                # Create SSL credentials with client_cert_source or application
+                # default SSL credentials.
+                if client_cert_source:
+                    cert, key = client_cert_source()
+                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
+                        certificate_chain=cert, private_key=key
+                    )
+                else:
+                    self._ssl_channel_credentials = SslCredentials().ssl_credentials
+
+            else:
+                if client_cert_source_for_mtls and not ssl_channel_credentials:
+                    cert, key = client_cert_source_for_mtls()
+                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
+                        certificate_chain=cert, private_key=key
+                    )
+
+        # The base transport sets the host, credentials and scopes
+        super().__init__(
+            host=host,
+            credentials=credentials,
+            credentials_file=credentials_file,
+            scopes=scopes,
+            quota_project_id=quota_project_id,
+            client_info=client_info,
+            always_use_jwt_access=always_use_jwt_access,
+            api_audience=api_audience,
+        )
+
+        if not self._grpc_channel:
+            # initialize with the provided callable or the default channel
+            channel_init = channel or type(self).create_channel
+            self._grpc_channel = channel_init(
+                self._host,
+                # use the credentials which are saved
+                credentials=self._credentials,
+                # Set ``credentials_file`` to ``None`` here as
+                # the credentials that we saved earlier should be used.
+                credentials_file=None,
+                scopes=self._scopes,
+                ssl_credentials=self._ssl_channel_credentials,
+                quota_project_id=quota_project_id,
+                options=[
+                    ("grpc.max_send_message_length", -1),
+                    ("grpc.max_receive_message_length", -1),
+                ],
+            )
+
+        # Wrap messages. This must be done after self._grpc_channel exists
+        self._prep_wrapped_messages(client_info)
+
+    @classmethod
+    def create_channel(cls,
+                       host: str = 'dataplex.googleapis.com',
+                       credentials: Optional[ga_credentials.Credentials] = None,
+                       credentials_file: Optional[str] = None,
+                       scopes: Optional[Sequence[str]] = None,
+                       quota_project_id: Optional[str] = None,
+                       **kwargs) -> grpc.Channel:
+        """Create and return a gRPC channel object.
+        Args:
+            host (Optional[str]): The host for the channel to use.
+            credentials (Optional[~.Credentials]): The
+                authorization credentials to attach to requests. These
+                credentials identify this application to the service. If
+                none are specified, the client will attempt to ascertain
+                the credentials from the environment.
+            credentials_file (Optional[str]): A file with credentials that can
+                be loaded with :func:`google.auth.load_credentials_from_file`.
+                This argument is mutually exclusive with credentials.
+            scopes (Optional[Sequence[str]]): A optional list of scopes needed for this
+                service. These are only used when credentials are not specified and
+                are passed to :func:`google.auth.default`.
+            quota_project_id (Optional[str]): An optional project to use for billing
+                and quota.
+            kwargs (Optional[dict]): Keyword arguments, which are passed to the
+                channel creation.
+        Returns:
+            grpc.Channel: A gRPC channel object.
+
+        Raises:
+            google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials``
+              and ``credentials_file`` are passed.
+        """
+
+        return grpc_helpers.create_channel(
+            host,
+            credentials=credentials,
+            credentials_file=credentials_file,
+            quota_project_id=quota_project_id,
+            default_scopes=cls.AUTH_SCOPES,
+            scopes=scopes,
+            default_host=cls.DEFAULT_HOST,
+            **kwargs
+        )
+
+    @property
+    def grpc_channel(self) -> grpc.Channel:
+        """Return the channel designed to connect to this service.
+        """
+        return self._grpc_channel
+
+    @property
+    def create_content(self) -> Callable[
+            [gcd_content.CreateContentRequest],
+            analyze.Content]:
+        r"""Return a callable for the create content method over gRPC.
+
+        Create a content.
+
+        Returns:
+            Callable[[~.CreateContentRequest],
+                    ~.Content]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'create_content' not in self._stubs:
+            self._stubs['create_content'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.ContentService/CreateContent',
+                request_serializer=gcd_content.CreateContentRequest.serialize,
+                response_deserializer=analyze.Content.deserialize,
+            )
+        return self._stubs['create_content']
+
+    @property
+    def update_content(self) -> Callable[
+            [gcd_content.UpdateContentRequest],
+            analyze.Content]:
+        r"""Return a callable for the update content method over gRPC.
+
+        Update a content. Only supports full resource update.
+
+        Returns:
+            Callable[[~.UpdateContentRequest],
+                    ~.Content]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'update_content' not in self._stubs:
+            self._stubs['update_content'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.ContentService/UpdateContent',
+                request_serializer=gcd_content.UpdateContentRequest.serialize,
+                response_deserializer=analyze.Content.deserialize,
+            )
+        return self._stubs['update_content']
+
+    @property
+    def delete_content(self) -> Callable[
+            [content.DeleteContentRequest],
+            empty_pb2.Empty]:
+        r"""Return a callable for the delete content method over gRPC.
+
+        Delete a content.
+
+        Returns:
+            Callable[[~.DeleteContentRequest],
+                    ~.Empty]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'delete_content' not in self._stubs:
+            self._stubs['delete_content'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.ContentService/DeleteContent',
+                request_serializer=content.DeleteContentRequest.serialize,
+                response_deserializer=empty_pb2.Empty.FromString,
+            )
+        return self._stubs['delete_content']
+
+    @property
+    def get_content(self) -> Callable[
+            [content.GetContentRequest],
+            analyze.Content]:
+        r"""Return a callable for the get content method over gRPC.
+
+        Get a content resource.
+
+        Returns:
+            Callable[[~.GetContentRequest],
+                    ~.Content]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'get_content' not in self._stubs:
+            self._stubs['get_content'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.ContentService/GetContent',
+                request_serializer=content.GetContentRequest.serialize,
+                response_deserializer=analyze.Content.deserialize,
+            )
+        return self._stubs['get_content']
+
+    @property
+    def get_iam_policy(self) -> Callable[
+            [iam_policy_pb2.GetIamPolicyRequest],
+            policy_pb2.Policy]:
+        r"""Return a callable for the get iam policy method over gRPC.
+
+        Gets the access control policy for a contentitem resource. A
+        ``NOT_FOUND`` error is returned if the resource does not exist.
+        An empty policy is returned if the resource exists but does not
+        have a policy set on it.
+
+        Caller must have Google IAM ``dataplex.content.getIamPolicy``
+        permission on the resource.
+
+        Returns:
+            Callable[[~.GetIamPolicyRequest],
+                    ~.Policy]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'get_iam_policy' not in self._stubs:
+            self._stubs['get_iam_policy'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.ContentService/GetIamPolicy',
+                request_serializer=iam_policy_pb2.GetIamPolicyRequest.SerializeToString,
+                response_deserializer=policy_pb2.Policy.FromString,
+            )
+        return self._stubs['get_iam_policy']
+
+    @property
+    def set_iam_policy(self) -> Callable[
+            [iam_policy_pb2.SetIamPolicyRequest],
+            policy_pb2.Policy]:
+        r"""Return a callable for the set iam policy method over gRPC.
+
+        Sets the access control policy on the specified contentitem
+        resource. Replaces any existing policy.
+
+        Caller must have Google IAM ``dataplex.content.setIamPolicy``
+        permission on the resource.
+
+        Returns:
+            Callable[[~.SetIamPolicyRequest],
+                    ~.Policy]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'set_iam_policy' not in self._stubs:
+            self._stubs['set_iam_policy'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.ContentService/SetIamPolicy',
+                request_serializer=iam_policy_pb2.SetIamPolicyRequest.SerializeToString,
+                response_deserializer=policy_pb2.Policy.FromString,
+            )
+        return self._stubs['set_iam_policy']
+
+    @property
+    def test_iam_permissions(self) -> Callable[
+            [iam_policy_pb2.TestIamPermissionsRequest],
+            iam_policy_pb2.TestIamPermissionsResponse]:
+        r"""Return a callable for the test iam permissions method over gRPC.
+
+        Returns the caller's permissions on a resource. If the resource
+        does not exist, an empty set of permissions is returned (a
+        ``NOT_FOUND`` error is not returned).
+
+        A caller is not required to have Google IAM permission to make
+        this request.
+
+        Note: This operation is designed to be used for building
+        permission-aware UIs and command-line tools, not for
+        authorization checking. This operation may "fail open" without
+        warning.
+
+        Returns:
+            Callable[[~.TestIamPermissionsRequest],
+                    ~.TestIamPermissionsResponse]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'test_iam_permissions' not in self._stubs:
+            self._stubs['test_iam_permissions'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.ContentService/TestIamPermissions',
+                request_serializer=iam_policy_pb2.TestIamPermissionsRequest.SerializeToString,
+                response_deserializer=iam_policy_pb2.TestIamPermissionsResponse.FromString,
+            )
+        return self._stubs['test_iam_permissions']
+
+    @property
+    def list_content(self) -> Callable[
+            [content.ListContentRequest],
+            content.ListContentResponse]:
+        r"""Return a callable for the list content method over gRPC.
+
+        List content.
+
+        Returns:
+            Callable[[~.ListContentRequest],
+                    ~.ListContentResponse]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'list_content' not in self._stubs:
+            self._stubs['list_content'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.ContentService/ListContent',
+                request_serializer=content.ListContentRequest.serialize,
+                response_deserializer=content.ListContentResponse.deserialize,
+            )
+        return self._stubs['list_content']
+
+    def close(self):
+        self.grpc_channel.close()
+
+    @property
+    def delete_operation(
+        self,
+    ) -> Callable[[operations_pb2.DeleteOperationRequest], None]:
+        r"""Return a callable for the delete_operation method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "delete_operation" not in self._stubs:
+            self._stubs["delete_operation"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/DeleteOperation",
+                request_serializer=operations_pb2.DeleteOperationRequest.SerializeToString,
+                response_deserializer=None,
+            )
+        return self._stubs["delete_operation"]
+
+    @property
+    def cancel_operation(
+        self,
+    ) -> Callable[[operations_pb2.CancelOperationRequest], None]:
+        r"""Return a callable for the cancel_operation method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "cancel_operation" not in self._stubs:
+            self._stubs["cancel_operation"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/CancelOperation",
+                request_serializer=operations_pb2.CancelOperationRequest.SerializeToString,
+                response_deserializer=None,
+            )
+        return self._stubs["cancel_operation"]
+
+    @property
+    def get_operation(
+        self,
+    ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]:
+        r"""Return a callable for the get_operation method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "get_operation" not in self._stubs:
+            self._stubs["get_operation"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/GetOperation",
+                request_serializer=operations_pb2.GetOperationRequest.SerializeToString,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs["get_operation"]
+
+    @property
+    def list_operations(
+        self,
+    ) -> Callable[[operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse]:
+        r"""Return a callable for the list_operations method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "list_operations" not in self._stubs:
+            self._stubs["list_operations"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/ListOperations",
+                request_serializer=operations_pb2.ListOperationsRequest.SerializeToString,
+                response_deserializer=operations_pb2.ListOperationsResponse.FromString,
+            )
+        return self._stubs["list_operations"]
+
+    @property
+    def list_locations(
+        self,
+    ) -> Callable[[locations_pb2.ListLocationsRequest], locations_pb2.ListLocationsResponse]:
+        r"""Return a callable for the list locations method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "list_locations" not in self._stubs:
+            self._stubs["list_locations"] = self.grpc_channel.unary_unary(
+                "/google.cloud.location.Locations/ListLocations",
+                request_serializer=locations_pb2.ListLocationsRequest.SerializeToString,
+                response_deserializer=locations_pb2.ListLocationsResponse.FromString,
+            )
+        return self._stubs["list_locations"]
+
+    @property
+    def get_location(
+        self,
+    ) -> Callable[[locations_pb2.GetLocationRequest], locations_pb2.Location]:
+        r"""Return a callable for the list locations method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "get_location" not in self._stubs:
+            self._stubs["get_location"] = self.grpc_channel.unary_unary(
+                "/google.cloud.location.Locations/GetLocation",
+                request_serializer=locations_pb2.GetLocationRequest.SerializeToString,
+                response_deserializer=locations_pb2.Location.FromString,
+            )
+        return self._stubs["get_location"]
+
+    @property
+    def kind(self) -> str:
+        return "grpc"
+
+
+__all__ = (
+    'ContentServiceGrpcTransport',
+)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/content_service/transports/grpc_asyncio.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/content_service/transports/grpc_asyncio.py
new file mode 100644
index 000000000000..ba7088c07b69
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/content_service/transports/grpc_asyncio.py
@@ -0,0 +1,709 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+import inspect
+import warnings
+from typing import Awaitable, Callable, Dict, Optional, Sequence, Tuple, Union
+
+from google.api_core import gapic_v1
+from google.api_core import grpc_helpers_async
+from google.api_core import exceptions as core_exceptions
+from google.api_core import retry_async as retries
+from google.auth import credentials as ga_credentials   # type: ignore
+from google.auth.transport.grpc import SslCredentials  # type: ignore
+
+import grpc                        # type: ignore
+from grpc.experimental import aio  # type: ignore
+
+from google.cloud.dataplex_v1.types import analyze
+from google.cloud.dataplex_v1.types import content
+from google.cloud.dataplex_v1.types import content as gcd_content
+from google.cloud.location import locations_pb2 # type: ignore
+from google.iam.v1 import iam_policy_pb2  # type: ignore
+from google.iam.v1 import policy_pb2  # type: ignore
+from google.longrunning import operations_pb2 # type: ignore
+from google.protobuf import empty_pb2  # type: ignore
+from .base import ContentServiceTransport, DEFAULT_CLIENT_INFO
+from .grpc import ContentServiceGrpcTransport
+
+
+class ContentServiceGrpcAsyncIOTransport(ContentServiceTransport):
+    """gRPC AsyncIO backend transport for ContentService.
+
+    ContentService manages Notebook and SQL Scripts for Dataplex.
+
+    This class defines the same methods as the primary client, so the
+    primary client can load the underlying transport implementation
+    and call it.
+
+    It sends protocol buffers over the wire using gRPC (which is built on
+    top of HTTP/2); the ``grpcio`` package must be installed.
+    """
+
+    _grpc_channel: aio.Channel
+    _stubs: Dict[str, Callable] = {}
+
+    @classmethod
+    def create_channel(cls,
+                       host: str = 'dataplex.googleapis.com',
+                       credentials: Optional[ga_credentials.Credentials] = None,
+                       credentials_file: Optional[str] = None,
+                       scopes: Optional[Sequence[str]] = None,
+                       quota_project_id: Optional[str] = None,
+                       **kwargs) -> aio.Channel:
+        """Create and return a gRPC AsyncIO channel object.
+        Args:
+            host (Optional[str]): The host for the channel to use.
+            credentials (Optional[~.Credentials]): The
+                authorization credentials to attach to requests. These
+                credentials identify this application to the service. If
+                none are specified, the client will attempt to ascertain
+                the credentials from the environment.
+            credentials_file (Optional[str]): A file with credentials that can
+                be loaded with :func:`google.auth.load_credentials_from_file`.
+            scopes (Optional[Sequence[str]]): A optional list of scopes needed for this
+                service. These are only used when credentials are not specified and
+                are passed to :func:`google.auth.default`.
+            quota_project_id (Optional[str]): An optional project to use for billing
+                and quota.
+            kwargs (Optional[dict]): Keyword arguments, which are passed to the
+                channel creation.
+        Returns:
+            aio.Channel: A gRPC AsyncIO channel object.
+        """
+
+        return grpc_helpers_async.create_channel(
+            host,
+            credentials=credentials,
+            credentials_file=credentials_file,
+            quota_project_id=quota_project_id,
+            default_scopes=cls.AUTH_SCOPES,
+            scopes=scopes,
+            default_host=cls.DEFAULT_HOST,
+            **kwargs
+        )
+
+    def __init__(self, *,
+            host: str = 'dataplex.googleapis.com',
+            credentials: Optional[ga_credentials.Credentials] = None,
+            credentials_file: Optional[str] = None,
+            scopes: Optional[Sequence[str]] = None,
+            channel: Optional[Union[aio.Channel, Callable[..., aio.Channel]]] = None,
+            api_mtls_endpoint: Optional[str] = None,
+            client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
+            ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None,
+            client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
+            quota_project_id: Optional[str] = None,
+            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
+            always_use_jwt_access: Optional[bool] = False,
+            api_audience: Optional[str] = None,
+            ) -> None:
+        """Instantiate the transport.
+
+        Args:
+            host (Optional[str]):
+                 The hostname to connect to (default: 'dataplex.googleapis.com').
+            credentials (Optional[google.auth.credentials.Credentials]): The
+                authorization credentials to attach to requests. These
+                credentials identify the application to the service; if none
+                are specified, the client will attempt to ascertain the
+                credentials from the environment.
+                This argument is ignored if a ``channel`` instance is provided.
+            credentials_file (Optional[str]): A file with credentials that can
+                be loaded with :func:`google.auth.load_credentials_from_file`.
+                This argument is ignored if a ``channel`` instance is provided.
+            scopes (Optional[Sequence[str]]): A optional list of scopes needed for this
+                service. These are only used when credentials are not specified and
+                are passed to :func:`google.auth.default`.
+            channel (Optional[Union[aio.Channel, Callable[..., aio.Channel]]]):
+                A ``Channel`` instance through which to make calls, or a Callable
+                that constructs and returns one. If set to None, ``self.create_channel``
+                is used to create the channel. If a Callable is given, it will be called
+                with the same arguments as used in ``self.create_channel``.
+            api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint.
+                If provided, it overrides the ``host`` argument and tries to create
+                a mutual TLS channel with client SSL credentials from
+                ``client_cert_source`` or application default SSL credentials.
+            client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]):
+                Deprecated. A callback to provide client SSL certificate bytes and
+                private key bytes, both in PEM format. It is ignored if
+                ``api_mtls_endpoint`` is None.
+            ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials
+                for the grpc channel. It is ignored if a ``channel`` instance is provided.
+            client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]):
+                A callback to provide client certificate bytes and private key bytes,
+                both in PEM format. It is used to configure a mutual TLS channel. It is
+                ignored if a ``channel`` instance or ``ssl_channel_credentials`` is provided.
+            quota_project_id (Optional[str]): An optional project to use for billing
+                and quota.
+            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
+                The client info used to send a user-agent string along with
+                API requests. If ``None``, then default info will be used.
+                Generally, you only need to set this if you're developing
+                your own client library.
+            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
+                be used for service account credentials.
+
+        Raises:
+            google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport
+              creation failed for any reason.
+          google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials``
+              and ``credentials_file`` are passed.
+        """
+        self._grpc_channel = None
+        self._ssl_channel_credentials = ssl_channel_credentials
+        self._stubs: Dict[str, Callable] = {}
+
+        if api_mtls_endpoint:
+            warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning)
+        if client_cert_source:
+            warnings.warn("client_cert_source is deprecated", DeprecationWarning)
+
+        if isinstance(channel, aio.Channel):
+            # Ignore credentials if a channel was passed.
+            credentials = None
+            self._ignore_credentials = True
+            # If a channel was explicitly provided, set it.
+            self._grpc_channel = channel
+            self._ssl_channel_credentials = None
+        else:
+            if api_mtls_endpoint:
+                host = api_mtls_endpoint
+
+                # Create SSL credentials with client_cert_source or application
+                # default SSL credentials.
+                if client_cert_source:
+                    cert, key = client_cert_source()
+                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
+                        certificate_chain=cert, private_key=key
+                    )
+                else:
+                    self._ssl_channel_credentials = SslCredentials().ssl_credentials
+
+            else:
+                if client_cert_source_for_mtls and not ssl_channel_credentials:
+                    cert, key = client_cert_source_for_mtls()
+                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
+                        certificate_chain=cert, private_key=key
+                    )
+
+        # The base transport sets the host, credentials and scopes
+        super().__init__(
+            host=host,
+            credentials=credentials,
+            credentials_file=credentials_file,
+            scopes=scopes,
+            quota_project_id=quota_project_id,
+            client_info=client_info,
+            always_use_jwt_access=always_use_jwt_access,
+            api_audience=api_audience,
+        )
+
+        if not self._grpc_channel:
+            # initialize with the provided callable or the default channel
+            channel_init = channel or type(self).create_channel
+            self._grpc_channel = channel_init(
+                self._host,
+                # use the credentials which are saved
+                credentials=self._credentials,
+                # Set ``credentials_file`` to ``None`` here as
+                # the credentials that we saved earlier should be used.
+                credentials_file=None,
+                scopes=self._scopes,
+                ssl_credentials=self._ssl_channel_credentials,
+                quota_project_id=quota_project_id,
+                options=[
+                    ("grpc.max_send_message_length", -1),
+                    ("grpc.max_receive_message_length", -1),
+                ],
+            )
+
+        # Wrap messages. This must be done after self._grpc_channel exists
+        self._wrap_with_kind = "kind" in inspect.signature(gapic_v1.method_async.wrap_method).parameters
+        self._prep_wrapped_messages(client_info)
+
+    @property
+    def grpc_channel(self) -> aio.Channel:
+        """Create the channel designed to connect to this service.
+
+        This property caches on the instance; repeated calls return
+        the same channel.
+        """
+        # Return the channel from cache.
+        return self._grpc_channel
+
+    @property
+    def create_content(self) -> Callable[
+            [gcd_content.CreateContentRequest],
+            Awaitable[analyze.Content]]:
+        r"""Return a callable for the create content method over gRPC.
+
+        Create a content.
+
+        Returns:
+            Callable[[~.CreateContentRequest],
+                    Awaitable[~.Content]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'create_content' not in self._stubs:
+            self._stubs['create_content'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.ContentService/CreateContent',
+                request_serializer=gcd_content.CreateContentRequest.serialize,
+                response_deserializer=analyze.Content.deserialize,
+            )
+        return self._stubs['create_content']
+
+    @property
+    def update_content(self) -> Callable[
+            [gcd_content.UpdateContentRequest],
+            Awaitable[analyze.Content]]:
+        r"""Return a callable for the update content method over gRPC.
+
+        Update a content. Only supports full resource update.
+
+        Returns:
+            Callable[[~.UpdateContentRequest],
+                    Awaitable[~.Content]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'update_content' not in self._stubs:
+            self._stubs['update_content'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.ContentService/UpdateContent',
+                request_serializer=gcd_content.UpdateContentRequest.serialize,
+                response_deserializer=analyze.Content.deserialize,
+            )
+        return self._stubs['update_content']
+
+    @property
+    def delete_content(self) -> Callable[
+            [content.DeleteContentRequest],
+            Awaitable[empty_pb2.Empty]]:
+        r"""Return a callable for the delete content method over gRPC.
+
+        Delete a content.
+
+        Returns:
+            Callable[[~.DeleteContentRequest],
+                    Awaitable[~.Empty]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'delete_content' not in self._stubs:
+            self._stubs['delete_content'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.ContentService/DeleteContent',
+                request_serializer=content.DeleteContentRequest.serialize,
+                response_deserializer=empty_pb2.Empty.FromString,
+            )
+        return self._stubs['delete_content']
+
+    @property
+    def get_content(self) -> Callable[
+            [content.GetContentRequest],
+            Awaitable[analyze.Content]]:
+        r"""Return a callable for the get content method over gRPC.
+
+        Get a content resource.
+
+        Returns:
+            Callable[[~.GetContentRequest],
+                    Awaitable[~.Content]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'get_content' not in self._stubs:
+            self._stubs['get_content'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.ContentService/GetContent',
+                request_serializer=content.GetContentRequest.serialize,
+                response_deserializer=analyze.Content.deserialize,
+            )
+        return self._stubs['get_content']
+
+    @property
+    def get_iam_policy(self) -> Callable[
+            [iam_policy_pb2.GetIamPolicyRequest],
+            Awaitable[policy_pb2.Policy]]:
+        r"""Return a callable for the get iam policy method over gRPC.
+
+        Gets the access control policy for a contentitem resource. A
+        ``NOT_FOUND`` error is returned if the resource does not exist.
+        An empty policy is returned if the resource exists but does not
+        have a policy set on it.
+
+        Caller must have Google IAM ``dataplex.content.getIamPolicy``
+        permission on the resource.
+
+        Returns:
+            Callable[[~.GetIamPolicyRequest],
+                    Awaitable[~.Policy]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'get_iam_policy' not in self._stubs:
+            self._stubs['get_iam_policy'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.ContentService/GetIamPolicy',
+                request_serializer=iam_policy_pb2.GetIamPolicyRequest.SerializeToString,
+                response_deserializer=policy_pb2.Policy.FromString,
+            )
+        return self._stubs['get_iam_policy']
+
+    @property
+    def set_iam_policy(self) -> Callable[
+            [iam_policy_pb2.SetIamPolicyRequest],
+            Awaitable[policy_pb2.Policy]]:
+        r"""Return a callable for the set iam policy method over gRPC.
+
+        Sets the access control policy on the specified contentitem
+        resource. Replaces any existing policy.
+
+        Caller must have Google IAM ``dataplex.content.setIamPolicy``
+        permission on the resource.
+
+        Returns:
+            Callable[[~.SetIamPolicyRequest],
+                    Awaitable[~.Policy]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'set_iam_policy' not in self._stubs:
+            self._stubs['set_iam_policy'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.ContentService/SetIamPolicy',
+                request_serializer=iam_policy_pb2.SetIamPolicyRequest.SerializeToString,
+                response_deserializer=policy_pb2.Policy.FromString,
+            )
+        return self._stubs['set_iam_policy']
+
+    @property
+    def test_iam_permissions(self) -> Callable[
+            [iam_policy_pb2.TestIamPermissionsRequest],
+            Awaitable[iam_policy_pb2.TestIamPermissionsResponse]]:
+        r"""Return a callable for the test iam permissions method over gRPC.
+
+        Returns the caller's permissions on a resource. If the resource
+        does not exist, an empty set of permissions is returned (a
+        ``NOT_FOUND`` error is not returned).
+
+        A caller is not required to have Google IAM permission to make
+        this request.
+
+        Note: This operation is designed to be used for building
+        permission-aware UIs and command-line tools, not for
+        authorization checking. This operation may "fail open" without
+        warning.
+
+        Returns:
+            Callable[[~.TestIamPermissionsRequest],
+                    Awaitable[~.TestIamPermissionsResponse]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'test_iam_permissions' not in self._stubs:
+            self._stubs['test_iam_permissions'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.ContentService/TestIamPermissions',
+                request_serializer=iam_policy_pb2.TestIamPermissionsRequest.SerializeToString,
+                response_deserializer=iam_policy_pb2.TestIamPermissionsResponse.FromString,
+            )
+        return self._stubs['test_iam_permissions']
+
+    @property
+    def list_content(self) -> Callable[
+            [content.ListContentRequest],
+            Awaitable[content.ListContentResponse]]:
+        r"""Return a callable for the list content method over gRPC.
+
+        List content.
+
+        Returns:
+            Callable[[~.ListContentRequest],
+                    Awaitable[~.ListContentResponse]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'list_content' not in self._stubs:
+            self._stubs['list_content'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.ContentService/ListContent',
+                request_serializer=content.ListContentRequest.serialize,
+                response_deserializer=content.ListContentResponse.deserialize,
+            )
+        return self._stubs['list_content']
+
+    def _prep_wrapped_messages(self, client_info):
+        """ Precompute the wrapped methods, overriding the base class method to use async wrappers."""
+        self._wrapped_methods = {
+            self.create_content: self._wrap_method(
+                self.create_content,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.update_content: self._wrap_method(
+                self.update_content,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.delete_content: self._wrap_method(
+                self.delete_content,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.get_content: self._wrap_method(
+                self.get_content,
+                default_retry=retries.AsyncRetry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.get_iam_policy: self._wrap_method(
+                self.get_iam_policy,
+                default_retry=retries.AsyncRetry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.set_iam_policy: self._wrap_method(
+                self.set_iam_policy,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.test_iam_permissions: self._wrap_method(
+                self.test_iam_permissions,
+                default_retry=retries.AsyncRetry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.list_content: self._wrap_method(
+                self.list_content,
+                default_retry=retries.AsyncRetry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.get_location: self._wrap_method(
+                self.get_location,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.list_locations: self._wrap_method(
+                self.list_locations,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.cancel_operation: self._wrap_method(
+                self.cancel_operation,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.delete_operation: self._wrap_method(
+                self.delete_operation,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.get_operation: self._wrap_method(
+                self.get_operation,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.list_operations: self._wrap_method(
+                self.list_operations,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+        }
+
+    def _wrap_method(self, func, *args, **kwargs):
+        if self._wrap_with_kind:  # pragma: NO COVER
+            kwargs["kind"] = self.kind
+        return gapic_v1.method_async.wrap_method(func, *args, **kwargs)
+
+    def close(self):
+        return self.grpc_channel.close()
+
+    @property
+    def kind(self) -> str:
+        return "grpc_asyncio"
+
+    @property
+    def delete_operation(
+        self,
+    ) -> Callable[[operations_pb2.DeleteOperationRequest], None]:
+        r"""Return a callable for the delete_operation method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "delete_operation" not in self._stubs:
+            self._stubs["delete_operation"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/DeleteOperation",
+                request_serializer=operations_pb2.DeleteOperationRequest.SerializeToString,
+                response_deserializer=None,
+            )
+        return self._stubs["delete_operation"]
+
+    @property
+    def cancel_operation(
+        self,
+    ) -> Callable[[operations_pb2.CancelOperationRequest], None]:
+        r"""Return a callable for the cancel_operation method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "cancel_operation" not in self._stubs:
+            self._stubs["cancel_operation"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/CancelOperation",
+                request_serializer=operations_pb2.CancelOperationRequest.SerializeToString,
+                response_deserializer=None,
+            )
+        return self._stubs["cancel_operation"]
+
+    @property
+    def get_operation(
+        self,
+    ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]:
+        r"""Return a callable for the get_operation method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "get_operation" not in self._stubs:
+            self._stubs["get_operation"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/GetOperation",
+                request_serializer=operations_pb2.GetOperationRequest.SerializeToString,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs["get_operation"]
+
+    @property
+    def list_operations(
+        self,
+    ) -> Callable[[operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse]:
+        r"""Return a callable for the list_operations method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "list_operations" not in self._stubs:
+            self._stubs["list_operations"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/ListOperations",
+                request_serializer=operations_pb2.ListOperationsRequest.SerializeToString,
+                response_deserializer=operations_pb2.ListOperationsResponse.FromString,
+            )
+        return self._stubs["list_operations"]
+
+    @property
+    def list_locations(
+        self,
+    ) -> Callable[[locations_pb2.ListLocationsRequest], locations_pb2.ListLocationsResponse]:
+        r"""Return a callable for the list locations method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "list_locations" not in self._stubs:
+            self._stubs["list_locations"] = self.grpc_channel.unary_unary(
+                "/google.cloud.location.Locations/ListLocations",
+                request_serializer=locations_pb2.ListLocationsRequest.SerializeToString,
+                response_deserializer=locations_pb2.ListLocationsResponse.FromString,
+            )
+        return self._stubs["list_locations"]
+
+    @property
+    def get_location(
+        self,
+    ) -> Callable[[locations_pb2.GetLocationRequest], locations_pb2.Location]:
+        r"""Return a callable for the list locations method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "get_location" not in self._stubs:
+            self._stubs["get_location"] = self.grpc_channel.unary_unary(
+                "/google.cloud.location.Locations/GetLocation",
+                request_serializer=locations_pb2.GetLocationRequest.SerializeToString,
+                response_deserializer=locations_pb2.Location.FromString,
+            )
+        return self._stubs["get_location"]
+
+
+__all__ = (
+    'ContentServiceGrpcAsyncIOTransport',
+)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_scan_service/__init__.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_scan_service/__init__.py
new file mode 100644
index 000000000000..1500c4168c10
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_scan_service/__init__.py
@@ -0,0 +1,22 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from .client import DataScanServiceClient
+from .async_client import DataScanServiceAsyncClient
+
+__all__ = (
+    'DataScanServiceClient',
+    'DataScanServiceAsyncClient',
+)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_scan_service/async_client.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_scan_service/async_client.py
new file mode 100644
index 000000000000..d370f4f64327
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_scan_service/async_client.py
@@ -0,0 +1,1665 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from collections import OrderedDict
+import re
+from typing import Dict, Callable, Mapping, MutableMapping, MutableSequence, Optional, Sequence, Tuple, Type, Union
+
+from google.cloud.dataplex_v1 import gapic_version as package_version
+
+from google.api_core.client_options import ClientOptions
+from google.api_core import exceptions as core_exceptions
+from google.api_core import gapic_v1
+from google.api_core import retry_async as retries
+from google.auth import credentials as ga_credentials   # type: ignore
+from google.oauth2 import service_account              # type: ignore
+
+
+try:
+    OptionalRetry = Union[retries.AsyncRetry, gapic_v1.method._MethodDefault, None]
+except AttributeError:  # pragma: NO COVER
+    OptionalRetry = Union[retries.AsyncRetry, object, None]  # type: ignore
+
+from google.api_core import operation  # type: ignore
+from google.api_core import operation_async  # type: ignore
+from google.cloud.dataplex_v1.services.data_scan_service import pagers
+from google.cloud.dataplex_v1.types import data_discovery
+from google.cloud.dataplex_v1.types import data_profile
+from google.cloud.dataplex_v1.types import data_quality
+from google.cloud.dataplex_v1.types import datascans
+from google.cloud.dataplex_v1.types import processing
+from google.cloud.dataplex_v1.types import resources
+from google.cloud.dataplex_v1.types import service
+from google.cloud.location import locations_pb2 # type: ignore
+from google.iam.v1 import iam_policy_pb2  # type: ignore
+from google.iam.v1 import policy_pb2  # type: ignore
+from google.longrunning import operations_pb2 # type: ignore
+from google.protobuf import empty_pb2  # type: ignore
+from google.protobuf import field_mask_pb2  # type: ignore
+from google.protobuf import timestamp_pb2  # type: ignore
+from .transports.base import DataScanServiceTransport, DEFAULT_CLIENT_INFO
+from .transports.grpc_asyncio import DataScanServiceGrpcAsyncIOTransport
+from .client import DataScanServiceClient
+
+
+class DataScanServiceAsyncClient:
+    """DataScanService manages DataScan resources which can be
+    configured to run various types of data scanning workload and
+    generate enriched metadata (e.g. Data Profile, Data Quality) for
+    the data source.
+    """
+
+    _client: DataScanServiceClient
+
+    # Copy defaults from the synchronous client for use here.
+    # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead.
+    DEFAULT_ENDPOINT = DataScanServiceClient.DEFAULT_ENDPOINT
+    DEFAULT_MTLS_ENDPOINT = DataScanServiceClient.DEFAULT_MTLS_ENDPOINT
+    _DEFAULT_ENDPOINT_TEMPLATE = DataScanServiceClient._DEFAULT_ENDPOINT_TEMPLATE
+    _DEFAULT_UNIVERSE = DataScanServiceClient._DEFAULT_UNIVERSE
+
+    connection_path = staticmethod(DataScanServiceClient.connection_path)
+    parse_connection_path = staticmethod(DataScanServiceClient.parse_connection_path)
+    data_scan_path = staticmethod(DataScanServiceClient.data_scan_path)
+    parse_data_scan_path = staticmethod(DataScanServiceClient.parse_data_scan_path)
+    data_scan_job_path = staticmethod(DataScanServiceClient.data_scan_job_path)
+    parse_data_scan_job_path = staticmethod(DataScanServiceClient.parse_data_scan_job_path)
+    dataset_path = staticmethod(DataScanServiceClient.dataset_path)
+    parse_dataset_path = staticmethod(DataScanServiceClient.parse_dataset_path)
+    entity_path = staticmethod(DataScanServiceClient.entity_path)
+    parse_entity_path = staticmethod(DataScanServiceClient.parse_entity_path)
+    common_billing_account_path = staticmethod(DataScanServiceClient.common_billing_account_path)
+    parse_common_billing_account_path = staticmethod(DataScanServiceClient.parse_common_billing_account_path)
+    common_folder_path = staticmethod(DataScanServiceClient.common_folder_path)
+    parse_common_folder_path = staticmethod(DataScanServiceClient.parse_common_folder_path)
+    common_organization_path = staticmethod(DataScanServiceClient.common_organization_path)
+    parse_common_organization_path = staticmethod(DataScanServiceClient.parse_common_organization_path)
+    common_project_path = staticmethod(DataScanServiceClient.common_project_path)
+    parse_common_project_path = staticmethod(DataScanServiceClient.parse_common_project_path)
+    common_location_path = staticmethod(DataScanServiceClient.common_location_path)
+    parse_common_location_path = staticmethod(DataScanServiceClient.parse_common_location_path)
+
+    @classmethod
+    def from_service_account_info(cls, info: dict, *args, **kwargs):
+        """Creates an instance of this client using the provided credentials
+            info.
+
+        Args:
+            info (dict): The service account private key info.
+            args: Additional arguments to pass to the constructor.
+            kwargs: Additional arguments to pass to the constructor.
+
+        Returns:
+            DataScanServiceAsyncClient: The constructed client.
+        """
+        return DataScanServiceClient.from_service_account_info.__func__(DataScanServiceAsyncClient, info, *args, **kwargs)  # type: ignore
+
+    @classmethod
+    def from_service_account_file(cls, filename: str, *args, **kwargs):
+        """Creates an instance of this client using the provided credentials
+            file.
+
+        Args:
+            filename (str): The path to the service account private key json
+                file.
+            args: Additional arguments to pass to the constructor.
+            kwargs: Additional arguments to pass to the constructor.
+
+        Returns:
+            DataScanServiceAsyncClient: The constructed client.
+        """
+        return DataScanServiceClient.from_service_account_file.__func__(DataScanServiceAsyncClient, filename, *args, **kwargs)  # type: ignore
+
+    from_service_account_json = from_service_account_file
+
+    @classmethod
+    def get_mtls_endpoint_and_cert_source(cls, client_options: Optional[ClientOptions] = None):
+        """Return the API endpoint and client cert source for mutual TLS.
+
+        The client cert source is determined in the following order:
+        (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the
+        client cert source is None.
+        (2) if `client_options.client_cert_source` is provided, use the provided one; if the
+        default client cert source exists, use the default one; otherwise the client cert
+        source is None.
+
+        The API endpoint is determined in the following order:
+        (1) if `client_options.api_endpoint` if provided, use the provided one.
+        (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the
+        default mTLS endpoint; if the environment variable is "never", use the default API
+        endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise
+        use the default API endpoint.
+
+        More details can be found at https://google.aip.dev/auth/4114.
+
+        Args:
+            client_options (google.api_core.client_options.ClientOptions): Custom options for the
+                client. Only the `api_endpoint` and `client_cert_source` properties may be used
+                in this method.
+
+        Returns:
+            Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the
+                client cert source to use.
+
+        Raises:
+            google.auth.exceptions.MutualTLSChannelError: If any errors happen.
+        """
+        return DataScanServiceClient.get_mtls_endpoint_and_cert_source(client_options)  # type: ignore
+
+    @property
+    def transport(self) -> DataScanServiceTransport:
+        """Returns the transport used by the client instance.
+
+        Returns:
+            DataScanServiceTransport: The transport used by the client instance.
+        """
+        return self._client.transport
+
+    @property
+    def api_endpoint(self):
+        """Return the API endpoint used by the client instance.
+
+        Returns:
+            str: The API endpoint used by the client instance.
+        """
+        return self._client._api_endpoint
+
+    @property
+    def universe_domain(self) -> str:
+        """Return the universe domain used by the client instance.
+
+        Returns:
+            str: The universe domain used
+                by the client instance.
+        """
+        return self._client._universe_domain
+
+    get_transport_class = DataScanServiceClient.get_transport_class
+
+    def __init__(self, *,
+            credentials: Optional[ga_credentials.Credentials] = None,
+            transport: Optional[Union[str, DataScanServiceTransport, Callable[..., DataScanServiceTransport]]] = "grpc_asyncio",
+            client_options: Optional[ClientOptions] = None,
+            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
+            ) -> None:
+        """Instantiates the data scan service async client.
+
+        Args:
+            credentials (Optional[google.auth.credentials.Credentials]): The
+                authorization credentials to attach to requests. These
+                credentials identify the application to the service; if none
+                are specified, the client will attempt to ascertain the
+                credentials from the environment.
+            transport (Optional[Union[str,DataScanServiceTransport,Callable[..., DataScanServiceTransport]]]):
+                The transport to use, or a Callable that constructs and returns a new transport to use.
+                If a Callable is given, it will be called with the same set of initialization
+                arguments as used in the DataScanServiceTransport constructor.
+                If set to None, a transport is chosen automatically.
+            client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]):
+                Custom options for the client.
+
+                1. The ``api_endpoint`` property can be used to override the
+                default endpoint provided by the client when ``transport`` is
+                not explicitly provided. Only if this property is not set and
+                ``transport`` was not explicitly provided, the endpoint is
+                determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment
+                variable, which have one of the following values:
+                "always" (always use the default mTLS endpoint), "never" (always
+                use the default regular endpoint) and "auto" (auto-switch to the
+                default mTLS endpoint if client certificate is present; this is
+                the default value).
+
+                2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable
+                is "true", then the ``client_cert_source`` property can be used
+                to provide a client certificate for mTLS transport. If
+                not provided, the default SSL client certificate will be used if
+                present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not
+                set, no client certificate will be used.
+
+                3. The ``universe_domain`` property can be used to override the
+                default "googleapis.com" universe. Note that ``api_endpoint``
+                property still takes precedence; and ``universe_domain`` is
+                currently not supported for mTLS.
+
+            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
+                The client info used to send a user-agent string along with
+                API requests. If ``None``, then default info will be used.
+                Generally, you only need to set this if you're developing
+                your own client library.
+
+        Raises:
+            google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport
+                creation failed for any reason.
+        """
+        self._client = DataScanServiceClient(
+            credentials=credentials,
+            transport=transport,
+            client_options=client_options,
+            client_info=client_info,
+
+        )
+
+    async def create_data_scan(self,
+            request: Optional[Union[datascans.CreateDataScanRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            data_scan: Optional[datascans.DataScan] = None,
+            data_scan_id: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation_async.AsyncOperation:
+        r"""Creates a DataScan resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_create_data_scan():
+                # Create a client
+                client = dataplex_v1.DataScanServiceAsyncClient()
+
+                # Initialize request argument(s)
+                data_scan = dataplex_v1.DataScan()
+                data_scan.data_quality_spec.rules.dimension = "dimension_value"
+                data_scan.data.entity = "entity_value"
+
+                request = dataplex_v1.CreateDataScanRequest(
+                    parent="parent_value",
+                    data_scan=data_scan,
+                    data_scan_id="data_scan_id_value",
+                )
+
+                # Make the request
+                operation = client.create_data_scan(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = (await operation).result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.CreateDataScanRequest, dict]]):
+                The request object. Create dataScan request.
+            parent (:class:`str`):
+                Required. The resource name of the parent location:
+                ``projects/{project}/locations/{location_id}`` where
+                ``project`` refers to a *project_id* or *project_number*
+                and ``location_id`` refers to a GCP region.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            data_scan (:class:`google.cloud.dataplex_v1.types.DataScan`):
+                Required. DataScan resource.
+                This corresponds to the ``data_scan`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            data_scan_id (:class:`str`):
+                Required. DataScan identifier.
+
+                -  Must contain only lowercase letters, numbers and
+                   hyphens.
+                -  Must start with a letter.
+                -  Must end with a number or a letter.
+                -  Must be between 1-63 characters.
+                -  Must be unique within the customer project /
+                   location.
+
+                This corresponds to the ``data_scan_id`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation_async.AsyncOperation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.DataScan` Represents a user-visible job which provides the insights for the related
+                   data source.
+
+                   For example:
+
+                   -  Data Quality: generates queries based on the rules
+                      and runs against the data to get data quality
+                      check results.
+                   -  Data Profile: analyzes the data in table(s) and
+                      generates insights about the structure, content
+                      and relationships (such as null percent,
+                      cardinality, min/max/mean, etc).
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent, data_scan, data_scan_id])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, datascans.CreateDataScanRequest):
+            request = datascans.CreateDataScanRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if parent is not None:
+            request.parent = parent
+        if data_scan is not None:
+            request.data_scan = data_scan
+        if data_scan_id is not None:
+            request.data_scan_id = data_scan_id
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.create_data_scan]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation_async.from_gapic(
+            response,
+            self._client._transport.operations_client,
+            datascans.DataScan,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def update_data_scan(self,
+            request: Optional[Union[datascans.UpdateDataScanRequest, dict]] = None,
+            *,
+            data_scan: Optional[datascans.DataScan] = None,
+            update_mask: Optional[field_mask_pb2.FieldMask] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation_async.AsyncOperation:
+        r"""Updates a DataScan resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_update_data_scan():
+                # Create a client
+                client = dataplex_v1.DataScanServiceAsyncClient()
+
+                # Initialize request argument(s)
+                data_scan = dataplex_v1.DataScan()
+                data_scan.data_quality_spec.rules.dimension = "dimension_value"
+                data_scan.data.entity = "entity_value"
+
+                request = dataplex_v1.UpdateDataScanRequest(
+                    data_scan=data_scan,
+                )
+
+                # Make the request
+                operation = client.update_data_scan(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = (await operation).result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.UpdateDataScanRequest, dict]]):
+                The request object. Update dataScan request.
+            data_scan (:class:`google.cloud.dataplex_v1.types.DataScan`):
+                Required. DataScan resource to be updated.
+
+                Only fields specified in ``update_mask`` are updated.
+
+                This corresponds to the ``data_scan`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`):
+                Required. Mask of fields to update.
+                This corresponds to the ``update_mask`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation_async.AsyncOperation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.DataScan` Represents a user-visible job which provides the insights for the related
+                   data source.
+
+                   For example:
+
+                   -  Data Quality: generates queries based on the rules
+                      and runs against the data to get data quality
+                      check results.
+                   -  Data Profile: analyzes the data in table(s) and
+                      generates insights about the structure, content
+                      and relationships (such as null percent,
+                      cardinality, min/max/mean, etc).
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([data_scan, update_mask])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, datascans.UpdateDataScanRequest):
+            request = datascans.UpdateDataScanRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if data_scan is not None:
+            request.data_scan = data_scan
+        if update_mask is not None:
+            request.update_mask = update_mask
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.update_data_scan]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("data_scan.name", request.data_scan.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation_async.from_gapic(
+            response,
+            self._client._transport.operations_client,
+            datascans.DataScan,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def delete_data_scan(self,
+            request: Optional[Union[datascans.DeleteDataScanRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation_async.AsyncOperation:
+        r"""Deletes a DataScan resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_delete_data_scan():
+                # Create a client
+                client = dataplex_v1.DataScanServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.DeleteDataScanRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                operation = client.delete_data_scan(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = (await operation).result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.DeleteDataScanRequest, dict]]):
+                The request object. Delete dataScan request.
+            name (:class:`str`):
+                Required. The resource name of the dataScan:
+                ``projects/{project}/locations/{location_id}/dataScans/{data_scan_id}``
+                where ``project`` refers to a *project_id* or
+                *project_number* and ``location_id`` refers to a GCP
+                region.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation_async.AsyncOperation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
+                   empty messages in your APIs. A typical example is to
+                   use it as the request or the response type of an API
+                   method. For instance:
+
+                      service Foo {
+                         rpc Bar(google.protobuf.Empty) returns
+                         (google.protobuf.Empty);
+
+                      }
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, datascans.DeleteDataScanRequest):
+            request = datascans.DeleteDataScanRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if name is not None:
+            request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.delete_data_scan]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation_async.from_gapic(
+            response,
+            self._client._transport.operations_client,
+            empty_pb2.Empty,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def get_data_scan(self,
+            request: Optional[Union[datascans.GetDataScanRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> datascans.DataScan:
+        r"""Gets a DataScan resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_get_data_scan():
+                # Create a client
+                client = dataplex_v1.DataScanServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.GetDataScanRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                response = await client.get_data_scan(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.GetDataScanRequest, dict]]):
+                The request object. Get dataScan request.
+            name (:class:`str`):
+                Required. The resource name of the dataScan:
+                ``projects/{project}/locations/{location_id}/dataScans/{data_scan_id}``
+                where ``project`` refers to a *project_id* or
+                *project_number* and ``location_id`` refers to a GCP
+                region.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.DataScan:
+                Represents a user-visible job which provides the insights for the related
+                   data source.
+
+                   For example:
+
+                   -  Data Quality: generates queries based on the rules
+                      and runs against the data to get data quality
+                      check results.
+                   -  Data Profile: analyzes the data in table(s) and
+                      generates insights about the structure, content
+                      and relationships (such as null percent,
+                      cardinality, min/max/mean, etc).
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, datascans.GetDataScanRequest):
+            request = datascans.GetDataScanRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if name is not None:
+            request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.get_data_scan]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def list_data_scans(self,
+            request: Optional[Union[datascans.ListDataScansRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> pagers.ListDataScansAsyncPager:
+        r"""Lists DataScans.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_list_data_scans():
+                # Create a client
+                client = dataplex_v1.DataScanServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.ListDataScansRequest(
+                    parent="parent_value",
+                )
+
+                # Make the request
+                page_result = client.list_data_scans(request=request)
+
+                # Handle the response
+                async for response in page_result:
+                    print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.ListDataScansRequest, dict]]):
+                The request object. List dataScans request.
+            parent (:class:`str`):
+                Required. The resource name of the parent location:
+                ``projects/{project}/locations/{location_id}`` where
+                ``project`` refers to a *project_id* or *project_number*
+                and ``location_id`` refers to a GCP region.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.services.data_scan_service.pagers.ListDataScansAsyncPager:
+                List dataScans response.
+
+                Iterating over this object will yield
+                results and resolve additional pages
+                automatically.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, datascans.ListDataScansRequest):
+            request = datascans.ListDataScansRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if parent is not None:
+            request.parent = parent
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.list_data_scans]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # This method is paged; wrap the response in a pager, which provides
+        # an `__aiter__` convenience method.
+        response = pagers.ListDataScansAsyncPager(
+            method=rpc,
+            request=request,
+            response=response,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def run_data_scan(self,
+            request: Optional[Union[datascans.RunDataScanRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> datascans.RunDataScanResponse:
+        r"""Runs an on-demand execution of a DataScan
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_run_data_scan():
+                # Create a client
+                client = dataplex_v1.DataScanServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.RunDataScanRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                response = await client.run_data_scan(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.RunDataScanRequest, dict]]):
+                The request object. Run DataScan Request
+            name (:class:`str`):
+                Required. The resource name of the DataScan:
+                ``projects/{project}/locations/{location_id}/dataScans/{data_scan_id}``.
+                where ``project`` refers to a *project_id* or
+                *project_number* and ``location_id`` refers to a GCP
+                region.
+
+                Only **OnDemand** data scans are allowed.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.RunDataScanResponse:
+                Run DataScan Response.
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, datascans.RunDataScanRequest):
+            request = datascans.RunDataScanRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if name is not None:
+            request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.run_data_scan]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def get_data_scan_job(self,
+            request: Optional[Union[datascans.GetDataScanJobRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> datascans.DataScanJob:
+        r"""Gets a DataScanJob resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_get_data_scan_job():
+                # Create a client
+                client = dataplex_v1.DataScanServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.GetDataScanJobRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                response = await client.get_data_scan_job(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.GetDataScanJobRequest, dict]]):
+                The request object. Get DataScanJob request.
+            name (:class:`str`):
+                Required. The resource name of the DataScanJob:
+                ``projects/{project}/locations/{location_id}/dataScans/{data_scan_id}/jobs/{data_scan_job_id}``
+                where ``project`` refers to a *project_id* or
+                *project_number* and ``location_id`` refers to a GCP
+                region.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.DataScanJob:
+                A DataScanJob represents an instance
+                of DataScan execution.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, datascans.GetDataScanJobRequest):
+            request = datascans.GetDataScanJobRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if name is not None:
+            request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.get_data_scan_job]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def list_data_scan_jobs(self,
+            request: Optional[Union[datascans.ListDataScanJobsRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> pagers.ListDataScanJobsAsyncPager:
+        r"""Lists DataScanJobs under the given DataScan.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_list_data_scan_jobs():
+                # Create a client
+                client = dataplex_v1.DataScanServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.ListDataScanJobsRequest(
+                    parent="parent_value",
+                )
+
+                # Make the request
+                page_result = client.list_data_scan_jobs(request=request)
+
+                # Handle the response
+                async for response in page_result:
+                    print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.ListDataScanJobsRequest, dict]]):
+                The request object. List DataScanJobs request.
+            parent (:class:`str`):
+                Required. The resource name of the parent environment:
+                ``projects/{project}/locations/{location_id}/dataScans/{data_scan_id}``
+                where ``project`` refers to a *project_id* or
+                *project_number* and ``location_id`` refers to a GCP
+                region.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.services.data_scan_service.pagers.ListDataScanJobsAsyncPager:
+                List DataScanJobs response.
+
+                Iterating over this object will yield
+                results and resolve additional pages
+                automatically.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, datascans.ListDataScanJobsRequest):
+            request = datascans.ListDataScanJobsRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if parent is not None:
+            request.parent = parent
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.list_data_scan_jobs]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # This method is paged; wrap the response in a pager, which provides
+        # an `__aiter__` convenience method.
+        response = pagers.ListDataScanJobsAsyncPager(
+            method=rpc,
+            request=request,
+            response=response,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def generate_data_quality_rules(self,
+            request: Optional[Union[datascans.GenerateDataQualityRulesRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> datascans.GenerateDataQualityRulesResponse:
+        r"""Generates recommended data quality rules based on the
+        results of a data profiling scan.
+
+        Use the recommendations to build rules for a data
+        quality scan.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_generate_data_quality_rules():
+                # Create a client
+                client = dataplex_v1.DataScanServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.GenerateDataQualityRulesRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                response = await client.generate_data_quality_rules(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.GenerateDataQualityRulesRequest, dict]]):
+                The request object. Request details for generating data
+                quality rule recommendations.
+            name (:class:`str`):
+                Required. The name must be one of the following:
+
+                -  The name of a data scan with at least one successful,
+                   completed data profiling job
+                -  The name of a successful, completed data profiling
+                   job (a data scan job where the job type is data
+                   profiling)
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.GenerateDataQualityRulesResponse:
+                Response details for data quality
+                rule recommendations.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, datascans.GenerateDataQualityRulesRequest):
+            request = datascans.GenerateDataQualityRulesRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if name is not None:
+            request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.generate_data_quality_rules]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def list_operations(
+        self,
+        request: Optional[operations_pb2.ListOperationsRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> operations_pb2.ListOperationsResponse:
+        r"""Lists operations that match the specified filter in the request.
+
+        Args:
+            request (:class:`~.operations_pb2.ListOperationsRequest`):
+                The request object. Request message for
+                `ListOperations` method.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.operations_pb2.ListOperationsResponse:
+                Response message for ``ListOperations`` method.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.ListOperationsRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self.transport._wrapped_methods[self._client._transport.list_operations]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request, retry=retry, timeout=timeout, metadata=metadata,)
+
+        # Done; return the response.
+        return response
+
+    async def get_operation(
+        self,
+        request: Optional[operations_pb2.GetOperationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> operations_pb2.Operation:
+        r"""Gets the latest state of a long-running operation.
+
+        Args:
+            request (:class:`~.operations_pb2.GetOperationRequest`):
+                The request object. Request message for
+                `GetOperation` method.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.operations_pb2.Operation:
+                An ``Operation`` object.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.GetOperationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self.transport._wrapped_methods[self._client._transport.get_operation]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request, retry=retry, timeout=timeout, metadata=metadata,)
+
+        # Done; return the response.
+        return response
+
+    async def delete_operation(
+        self,
+        request: Optional[operations_pb2.DeleteOperationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> None:
+        r"""Deletes a long-running operation.
+
+        This method indicates that the client is no longer interested
+        in the operation result. It does not cancel the operation.
+        If the server doesn't support this method, it returns
+        `google.rpc.Code.UNIMPLEMENTED`.
+
+        Args:
+            request (:class:`~.operations_pb2.DeleteOperationRequest`):
+                The request object. Request message for
+                `DeleteOperation` method.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            None
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.DeleteOperationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self.transport._wrapped_methods[self._client._transport.delete_operation]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        await rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
+
+    async def cancel_operation(
+        self,
+        request: Optional[operations_pb2.CancelOperationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> None:
+        r"""Starts asynchronous cancellation on a long-running operation.
+
+        The server makes a best effort to cancel the operation, but success
+        is not guaranteed.  If the server doesn't support this method, it returns
+        `google.rpc.Code.UNIMPLEMENTED`.
+
+        Args:
+            request (:class:`~.operations_pb2.CancelOperationRequest`):
+                The request object. Request message for
+                `CancelOperation` method.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            None
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.CancelOperationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self.transport._wrapped_methods[self._client._transport.cancel_operation]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        await rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
+
+    async def get_location(
+        self,
+        request: Optional[locations_pb2.GetLocationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> locations_pb2.Location:
+        r"""Gets information about a location.
+
+        Args:
+            request (:class:`~.location_pb2.GetLocationRequest`):
+                The request object. Request message for
+                `GetLocation` method.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
+                 if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.location_pb2.Location:
+                Location object.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = locations_pb2.GetLocationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self.transport._wrapped_methods[self._client._transport.get_location]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request, retry=retry, timeout=timeout, metadata=metadata,)
+
+        # Done; return the response.
+        return response
+
+    async def list_locations(
+        self,
+        request: Optional[locations_pb2.ListLocationsRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> locations_pb2.ListLocationsResponse:
+        r"""Lists information about the supported locations for this service.
+
+        Args:
+            request (:class:`~.location_pb2.ListLocationsRequest`):
+                The request object. Request message for
+                `ListLocations` method.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
+                 if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.location_pb2.ListLocationsResponse:
+                Response message for ``ListLocations`` method.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = locations_pb2.ListLocationsRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self.transport._wrapped_methods[self._client._transport.list_locations]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request, retry=retry, timeout=timeout, metadata=metadata,)
+
+        # Done; return the response.
+        return response
+
+    async def __aenter__(self) -> "DataScanServiceAsyncClient":
+        return self
+
+    async def __aexit__(self, exc_type, exc, tb):
+        await self.transport.close()
+
+DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(gapic_version=package_version.__version__)
+
+
+__all__ = (
+    "DataScanServiceAsyncClient",
+)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_scan_service/client.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_scan_service/client.py
new file mode 100644
index 000000000000..750cb340c2d1
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_scan_service/client.py
@@ -0,0 +1,2015 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from collections import OrderedDict
+import os
+import re
+from typing import Dict, Callable, Mapping, MutableMapping, MutableSequence, Optional, Sequence, Tuple, Type, Union, cast
+import warnings
+
+from google.cloud.dataplex_v1 import gapic_version as package_version
+
+from google.api_core import client_options as client_options_lib
+from google.api_core import exceptions as core_exceptions
+from google.api_core import gapic_v1
+from google.api_core import retry as retries
+from google.auth import credentials as ga_credentials             # type: ignore
+from google.auth.transport import mtls                            # type: ignore
+from google.auth.transport.grpc import SslCredentials             # type: ignore
+from google.auth.exceptions import MutualTLSChannelError          # type: ignore
+from google.oauth2 import service_account                         # type: ignore
+
+try:
+    OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None]
+except AttributeError:  # pragma: NO COVER
+    OptionalRetry = Union[retries.Retry, object, None]  # type: ignore
+
+from google.api_core import operation  # type: ignore
+from google.api_core import operation_async  # type: ignore
+from google.cloud.dataplex_v1.services.data_scan_service import pagers
+from google.cloud.dataplex_v1.types import data_discovery
+from google.cloud.dataplex_v1.types import data_profile
+from google.cloud.dataplex_v1.types import data_quality
+from google.cloud.dataplex_v1.types import datascans
+from google.cloud.dataplex_v1.types import processing
+from google.cloud.dataplex_v1.types import resources
+from google.cloud.dataplex_v1.types import service
+from google.cloud.location import locations_pb2 # type: ignore
+from google.iam.v1 import iam_policy_pb2  # type: ignore
+from google.iam.v1 import policy_pb2  # type: ignore
+from google.longrunning import operations_pb2 # type: ignore
+from google.protobuf import empty_pb2  # type: ignore
+from google.protobuf import field_mask_pb2  # type: ignore
+from google.protobuf import timestamp_pb2  # type: ignore
+from .transports.base import DataScanServiceTransport, DEFAULT_CLIENT_INFO
+from .transports.grpc import DataScanServiceGrpcTransport
+from .transports.grpc_asyncio import DataScanServiceGrpcAsyncIOTransport
+
+
+class DataScanServiceClientMeta(type):
+    """Metaclass for the DataScanService client.
+
+    This provides class-level methods for building and retrieving
+    support objects (e.g. transport) without polluting the client instance
+    objects.
+    """
+    _transport_registry = OrderedDict()  # type: Dict[str, Type[DataScanServiceTransport]]
+    _transport_registry["grpc"] = DataScanServiceGrpcTransport
+    _transport_registry["grpc_asyncio"] = DataScanServiceGrpcAsyncIOTransport
+
+    def get_transport_class(cls,
+            label: Optional[str] = None,
+        ) -> Type[DataScanServiceTransport]:
+        """Returns an appropriate transport class.
+
+        Args:
+            label: The name of the desired transport. If none is
+                provided, then the first transport in the registry is used.
+
+        Returns:
+            The transport class to use.
+        """
+        # If a specific transport is requested, return that one.
+        if label:
+            return cls._transport_registry[label]
+
+        # No transport is requested; return the default (that is, the first one
+        # in the dictionary).
+        return next(iter(cls._transport_registry.values()))
+
+
+class DataScanServiceClient(metaclass=DataScanServiceClientMeta):
+    """DataScanService manages DataScan resources which can be
+    configured to run various types of data scanning workload and
+    generate enriched metadata (e.g. Data Profile, Data Quality) for
+    the data source.
+    """
+
+    @staticmethod
+    def _get_default_mtls_endpoint(api_endpoint):
+        """Converts api endpoint to mTLS endpoint.
+
+        Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to
+        "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively.
+        Args:
+            api_endpoint (Optional[str]): the api endpoint to convert.
+        Returns:
+            str: converted mTLS api endpoint.
+        """
+        if not api_endpoint:
+            return api_endpoint
+
+        mtls_endpoint_re = re.compile(
+            r"(?P<name>[^.]+)(?P<mtls>\.mtls)?(?P<sandbox>\.sandbox)?(?P<googledomain>\.googleapis\.com)?"
+        )
+
+        m = mtls_endpoint_re.match(api_endpoint)
+        name, mtls, sandbox, googledomain = m.groups()
+        if mtls or not googledomain:
+            return api_endpoint
+
+        if sandbox:
+            return api_endpoint.replace(
+                "sandbox.googleapis.com", "mtls.sandbox.googleapis.com"
+            )
+
+        return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com")
+
+    # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead.
+    DEFAULT_ENDPOINT = "dataplex.googleapis.com"
+    DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__(  # type: ignore
+        DEFAULT_ENDPOINT
+    )
+
+    _DEFAULT_ENDPOINT_TEMPLATE = "dataplex.{UNIVERSE_DOMAIN}"
+    _DEFAULT_UNIVERSE = "googleapis.com"
+
+    @classmethod
+    def from_service_account_info(cls, info: dict, *args, **kwargs):
+        """Creates an instance of this client using the provided credentials
+            info.
+
+        Args:
+            info (dict): The service account private key info.
+            args: Additional arguments to pass to the constructor.
+            kwargs: Additional arguments to pass to the constructor.
+
+        Returns:
+            DataScanServiceClient: The constructed client.
+        """
+        credentials = service_account.Credentials.from_service_account_info(info)
+        kwargs["credentials"] = credentials
+        return cls(*args, **kwargs)
+
+    @classmethod
+    def from_service_account_file(cls, filename: str, *args, **kwargs):
+        """Creates an instance of this client using the provided credentials
+            file.
+
+        Args:
+            filename (str): The path to the service account private key json
+                file.
+            args: Additional arguments to pass to the constructor.
+            kwargs: Additional arguments to pass to the constructor.
+
+        Returns:
+            DataScanServiceClient: The constructed client.
+        """
+        credentials = service_account.Credentials.from_service_account_file(
+            filename)
+        kwargs["credentials"] = credentials
+        return cls(*args, **kwargs)
+
+    from_service_account_json = from_service_account_file
+
+    @property
+    def transport(self) -> DataScanServiceTransport:
+        """Returns the transport used by the client instance.
+
+        Returns:
+            DataScanServiceTransport: The transport used by the client
+                instance.
+        """
+        return self._transport
+
+    @staticmethod
+    def connection_path(project: str,location: str,connection: str,) -> str:
+        """Returns a fully-qualified connection string."""
+        return "projects/{project}/locations/{location}/connections/{connection}".format(project=project, location=location, connection=connection, )
+
+    @staticmethod
+    def parse_connection_path(path: str) -> Dict[str,str]:
+        """Parses a connection path into its component segments."""
+        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/connections/(?P<connection>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @staticmethod
+    def data_scan_path(project: str,location: str,dataScan: str,) -> str:
+        """Returns a fully-qualified data_scan string."""
+        return "projects/{project}/locations/{location}/dataScans/{dataScan}".format(project=project, location=location, dataScan=dataScan, )
+
+    @staticmethod
+    def parse_data_scan_path(path: str) -> Dict[str,str]:
+        """Parses a data_scan path into its component segments."""
+        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/dataScans/(?P<dataScan>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @staticmethod
+    def data_scan_job_path(project: str,location: str,dataScan: str,job: str,) -> str:
+        """Returns a fully-qualified data_scan_job string."""
+        return "projects/{project}/locations/{location}/dataScans/{dataScan}/jobs/{job}".format(project=project, location=location, dataScan=dataScan, job=job, )
+
+    @staticmethod
+    def parse_data_scan_job_path(path: str) -> Dict[str,str]:
+        """Parses a data_scan_job path into its component segments."""
+        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/dataScans/(?P<dataScan>.+?)/jobs/(?P<job>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @staticmethod
+    def dataset_path(project: str,dataset: str,) -> str:
+        """Returns a fully-qualified dataset string."""
+        return "projects/{project}/datasets/{dataset}".format(project=project, dataset=dataset, )
+
+    @staticmethod
+    def parse_dataset_path(path: str) -> Dict[str,str]:
+        """Parses a dataset path into its component segments."""
+        m = re.match(r"^projects/(?P<project>.+?)/datasets/(?P<dataset>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @staticmethod
+    def entity_path(project: str,location: str,lake: str,zone: str,entity: str,) -> str:
+        """Returns a fully-qualified entity string."""
+        return "projects/{project}/locations/{location}/lakes/{lake}/zones/{zone}/entities/{entity}".format(project=project, location=location, lake=lake, zone=zone, entity=entity, )
+
+    @staticmethod
+    def parse_entity_path(path: str) -> Dict[str,str]:
+        """Parses a entity path into its component segments."""
+        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/lakes/(?P<lake>.+?)/zones/(?P<zone>.+?)/entities/(?P<entity>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @staticmethod
+    def common_billing_account_path(billing_account: str, ) -> str:
+        """Returns a fully-qualified billing_account string."""
+        return "billingAccounts/{billing_account}".format(billing_account=billing_account, )
+
+    @staticmethod
+    def parse_common_billing_account_path(path: str) -> Dict[str,str]:
+        """Parse a billing_account path into its component segments."""
+        m = re.match(r"^billingAccounts/(?P<billing_account>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @staticmethod
+    def common_folder_path(folder: str, ) -> str:
+        """Returns a fully-qualified folder string."""
+        return "folders/{folder}".format(folder=folder, )
+
+    @staticmethod
+    def parse_common_folder_path(path: str) -> Dict[str,str]:
+        """Parse a folder path into its component segments."""
+        m = re.match(r"^folders/(?P<folder>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @staticmethod
+    def common_organization_path(organization: str, ) -> str:
+        """Returns a fully-qualified organization string."""
+        return "organizations/{organization}".format(organization=organization, )
+
+    @staticmethod
+    def parse_common_organization_path(path: str) -> Dict[str,str]:
+        """Parse a organization path into its component segments."""
+        m = re.match(r"^organizations/(?P<organization>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @staticmethod
+    def common_project_path(project: str, ) -> str:
+        """Returns a fully-qualified project string."""
+        return "projects/{project}".format(project=project, )
+
+    @staticmethod
+    def parse_common_project_path(path: str) -> Dict[str,str]:
+        """Parse a project path into its component segments."""
+        m = re.match(r"^projects/(?P<project>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @staticmethod
+    def common_location_path(project: str, location: str, ) -> str:
+        """Returns a fully-qualified location string."""
+        return "projects/{project}/locations/{location}".format(project=project, location=location, )
+
+    @staticmethod
+    def parse_common_location_path(path: str) -> Dict[str,str]:
+        """Parse a location path into its component segments."""
+        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @classmethod
+    def get_mtls_endpoint_and_cert_source(cls, client_options: Optional[client_options_lib.ClientOptions] = None):
+        """Deprecated. Return the API endpoint and client cert source for mutual TLS.
+
+        The client cert source is determined in the following order:
+        (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the
+        client cert source is None.
+        (2) if `client_options.client_cert_source` is provided, use the provided one; if the
+        default client cert source exists, use the default one; otherwise the client cert
+        source is None.
+
+        The API endpoint is determined in the following order:
+        (1) if `client_options.api_endpoint` if provided, use the provided one.
+        (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the
+        default mTLS endpoint; if the environment variable is "never", use the default API
+        endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise
+        use the default API endpoint.
+
+        More details can be found at https://google.aip.dev/auth/4114.
+
+        Args:
+            client_options (google.api_core.client_options.ClientOptions): Custom options for the
+                client. Only the `api_endpoint` and `client_cert_source` properties may be used
+                in this method.
+
+        Returns:
+            Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the
+                client cert source to use.
+
+        Raises:
+            google.auth.exceptions.MutualTLSChannelError: If any errors happen.
+        """
+
+        warnings.warn("get_mtls_endpoint_and_cert_source is deprecated. Use the api_endpoint property instead.",
+            DeprecationWarning)
+        if client_options is None:
+            client_options = client_options_lib.ClientOptions()
+        use_client_cert = os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false")
+        use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto")
+        if use_client_cert not in ("true", "false"):
+            raise ValueError("Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`")
+        if use_mtls_endpoint not in ("auto", "never", "always"):
+            raise MutualTLSChannelError("Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`")
+
+        # Figure out the client cert source to use.
+        client_cert_source = None
+        if use_client_cert == "true":
+            if client_options.client_cert_source:
+                client_cert_source = client_options.client_cert_source
+            elif mtls.has_default_client_cert_source():
+                client_cert_source = mtls.default_client_cert_source()
+
+        # Figure out which api endpoint to use.
+        if client_options.api_endpoint is not None:
+            api_endpoint = client_options.api_endpoint
+        elif use_mtls_endpoint == "always" or (use_mtls_endpoint == "auto" and client_cert_source):
+            api_endpoint = cls.DEFAULT_MTLS_ENDPOINT
+        else:
+            api_endpoint = cls.DEFAULT_ENDPOINT
+
+        return api_endpoint, client_cert_source
+
+    @staticmethod
+    def _read_environment_variables():
+        """Returns the environment variables used by the client.
+
+        Returns:
+            Tuple[bool, str, str]: returns the GOOGLE_API_USE_CLIENT_CERTIFICATE,
+            GOOGLE_API_USE_MTLS_ENDPOINT, and GOOGLE_CLOUD_UNIVERSE_DOMAIN environment variables.
+
+        Raises:
+            ValueError: If GOOGLE_API_USE_CLIENT_CERTIFICATE is not
+                any of ["true", "false"].
+            google.auth.exceptions.MutualTLSChannelError: If GOOGLE_API_USE_MTLS_ENDPOINT
+                is not any of ["auto", "never", "always"].
+        """
+        use_client_cert = os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false").lower()
+        use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto").lower()
+        universe_domain_env = os.getenv("GOOGLE_CLOUD_UNIVERSE_DOMAIN")
+        if use_client_cert not in ("true", "false"):
+            raise ValueError("Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`")
+        if use_mtls_endpoint not in ("auto", "never", "always"):
+            raise MutualTLSChannelError("Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`")
+        return use_client_cert == "true", use_mtls_endpoint, universe_domain_env
+
+    @staticmethod
+    def _get_client_cert_source(provided_cert_source, use_cert_flag):
+        """Return the client cert source to be used by the client.
+
+        Args:
+            provided_cert_source (bytes): The client certificate source provided.
+            use_cert_flag (bool): A flag indicating whether to use the client certificate.
+
+        Returns:
+            bytes or None: The client cert source to be used by the client.
+        """
+        client_cert_source = None
+        if use_cert_flag:
+            if provided_cert_source:
+                client_cert_source = provided_cert_source
+            elif mtls.has_default_client_cert_source():
+                client_cert_source = mtls.default_client_cert_source()
+        return client_cert_source
+
+    @staticmethod
+    def _get_api_endpoint(api_override, client_cert_source, universe_domain, use_mtls_endpoint):
+        """Return the API endpoint used by the client.
+
+        Args:
+            api_override (str): The API endpoint override. If specified, this is always
+                the return value of this function and the other arguments are not used.
+            client_cert_source (bytes): The client certificate source used by the client.
+            universe_domain (str): The universe domain used by the client.
+            use_mtls_endpoint (str): How to use the mTLS endpoint, which depends also on the other parameters.
+                Possible values are "always", "auto", or "never".
+
+        Returns:
+            str: The API endpoint to be used by the client.
+        """
+        if api_override is not None:
+            api_endpoint = api_override
+        elif use_mtls_endpoint == "always" or (use_mtls_endpoint == "auto" and client_cert_source):
+            _default_universe = DataScanServiceClient._DEFAULT_UNIVERSE
+            if universe_domain != _default_universe:
+                raise MutualTLSChannelError(f"mTLS is not supported in any universe other than {_default_universe}.")
+            api_endpoint = DataScanServiceClient.DEFAULT_MTLS_ENDPOINT
+        else:
+            api_endpoint = DataScanServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=universe_domain)
+        return api_endpoint
+
+    @staticmethod
+    def _get_universe_domain(client_universe_domain: Optional[str], universe_domain_env: Optional[str]) -> str:
+        """Return the universe domain used by the client.
+
+        Args:
+            client_universe_domain (Optional[str]): The universe domain configured via the client options.
+            universe_domain_env (Optional[str]): The universe domain configured via the "GOOGLE_CLOUD_UNIVERSE_DOMAIN" environment variable.
+
+        Returns:
+            str: The universe domain to be used by the client.
+
+        Raises:
+            ValueError: If the universe domain is an empty string.
+        """
+        universe_domain = DataScanServiceClient._DEFAULT_UNIVERSE
+        if client_universe_domain is not None:
+            universe_domain = client_universe_domain
+        elif universe_domain_env is not None:
+            universe_domain = universe_domain_env
+        if len(universe_domain.strip()) == 0:
+            raise ValueError("Universe Domain cannot be an empty string.")
+        return universe_domain
+
+    def _validate_universe_domain(self):
+        """Validates client's and credentials' universe domains are consistent.
+
+        Returns:
+            bool: True iff the configured universe domain is valid.
+
+        Raises:
+            ValueError: If the configured universe domain is not valid.
+        """
+
+        # NOTE (b/349488459): universe validation is disabled until further notice.
+        return True
+
+    @property
+    def api_endpoint(self):
+        """Return the API endpoint used by the client instance.
+
+        Returns:
+            str: The API endpoint used by the client instance.
+        """
+        return self._api_endpoint
+
+    @property
+    def universe_domain(self) -> str:
+        """Return the universe domain used by the client instance.
+
+        Returns:
+            str: The universe domain used by the client instance.
+        """
+        return self._universe_domain
+
+    def __init__(self, *,
+            credentials: Optional[ga_credentials.Credentials] = None,
+            transport: Optional[Union[str, DataScanServiceTransport, Callable[..., DataScanServiceTransport]]] = None,
+            client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None,
+            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
+            ) -> None:
+        """Instantiates the data scan service client.
+
+        Args:
+            credentials (Optional[google.auth.credentials.Credentials]): The
+                authorization credentials to attach to requests. These
+                credentials identify the application to the service; if none
+                are specified, the client will attempt to ascertain the
+                credentials from the environment.
+            transport (Optional[Union[str,DataScanServiceTransport,Callable[..., DataScanServiceTransport]]]):
+                The transport to use, or a Callable that constructs and returns a new transport.
+                If a Callable is given, it will be called with the same set of initialization
+                arguments as used in the DataScanServiceTransport constructor.
+                If set to None, a transport is chosen automatically.
+            client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]):
+                Custom options for the client.
+
+                1. The ``api_endpoint`` property can be used to override the
+                default endpoint provided by the client when ``transport`` is
+                not explicitly provided. Only if this property is not set and
+                ``transport`` was not explicitly provided, the endpoint is
+                determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment
+                variable, which have one of the following values:
+                "always" (always use the default mTLS endpoint), "never" (always
+                use the default regular endpoint) and "auto" (auto-switch to the
+                default mTLS endpoint if client certificate is present; this is
+                the default value).
+
+                2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable
+                is "true", then the ``client_cert_source`` property can be used
+                to provide a client certificate for mTLS transport. If
+                not provided, the default SSL client certificate will be used if
+                present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not
+                set, no client certificate will be used.
+
+                3. The ``universe_domain`` property can be used to override the
+                default "googleapis.com" universe. Note that the ``api_endpoint``
+                property still takes precedence; and ``universe_domain`` is
+                currently not supported for mTLS.
+
+            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
+                The client info used to send a user-agent string along with
+                API requests. If ``None``, then default info will be used.
+                Generally, you only need to set this if you're developing
+                your own client library.
+
+        Raises:
+            google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport
+                creation failed for any reason.
+        """
+        self._client_options = client_options
+        if isinstance(self._client_options, dict):
+            self._client_options = client_options_lib.from_dict(self._client_options)
+        if self._client_options is None:
+            self._client_options = client_options_lib.ClientOptions()
+        self._client_options = cast(client_options_lib.ClientOptions, self._client_options)
+
+        universe_domain_opt = getattr(self._client_options, 'universe_domain', None)
+
+        self._use_client_cert, self._use_mtls_endpoint, self._universe_domain_env = DataScanServiceClient._read_environment_variables()
+        self._client_cert_source = DataScanServiceClient._get_client_cert_source(self._client_options.client_cert_source, self._use_client_cert)
+        self._universe_domain = DataScanServiceClient._get_universe_domain(universe_domain_opt, self._universe_domain_env)
+        self._api_endpoint = None # updated below, depending on `transport`
+
+        # Initialize the universe domain validation.
+        self._is_universe_domain_valid = False
+
+        api_key_value = getattr(self._client_options, "api_key", None)
+        if api_key_value and credentials:
+            raise ValueError("client_options.api_key and credentials are mutually exclusive")
+
+        # Save or instantiate the transport.
+        # Ordinarily, we provide the transport, but allowing a custom transport
+        # instance provides an extensibility point for unusual situations.
+        transport_provided = isinstance(transport, DataScanServiceTransport)
+        if transport_provided:
+            # transport is a DataScanServiceTransport instance.
+            if credentials or self._client_options.credentials_file or api_key_value:
+                raise ValueError("When providing a transport instance, "
+                                 "provide its credentials directly.")
+            if self._client_options.scopes:
+                raise ValueError(
+                    "When providing a transport instance, provide its scopes "
+                    "directly."
+                )
+            self._transport = cast(DataScanServiceTransport, transport)
+            self._api_endpoint = self._transport.host
+
+        self._api_endpoint = (self._api_endpoint or
+            DataScanServiceClient._get_api_endpoint(
+                self._client_options.api_endpoint,
+                self._client_cert_source,
+                self._universe_domain,
+                self._use_mtls_endpoint))
+
+        if not transport_provided:
+            import google.auth._default  # type: ignore
+
+            if api_key_value and hasattr(google.auth._default, "get_api_key_credentials"):
+                credentials = google.auth._default.get_api_key_credentials(api_key_value)
+
+            transport_init: Union[Type[DataScanServiceTransport], Callable[..., DataScanServiceTransport]] = (
+                DataScanServiceClient.get_transport_class(transport)
+                if isinstance(transport, str) or transport is None
+                else cast(Callable[..., DataScanServiceTransport], transport)
+            )
+            # initialize with the provided callable or the passed in class
+            self._transport = transport_init(
+                credentials=credentials,
+                credentials_file=self._client_options.credentials_file,
+                host=self._api_endpoint,
+                scopes=self._client_options.scopes,
+                client_cert_source_for_mtls=self._client_cert_source,
+                quota_project_id=self._client_options.quota_project_id,
+                client_info=client_info,
+                always_use_jwt_access=True,
+                api_audience=self._client_options.api_audience,
+            )
+
+    def create_data_scan(self,
+            request: Optional[Union[datascans.CreateDataScanRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            data_scan: Optional[datascans.DataScan] = None,
+            data_scan_id: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation.Operation:
+        r"""Creates a DataScan resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_create_data_scan():
+                # Create a client
+                client = dataplex_v1.DataScanServiceClient()
+
+                # Initialize request argument(s)
+                data_scan = dataplex_v1.DataScan()
+                data_scan.data_quality_spec.rules.dimension = "dimension_value"
+                data_scan.data.entity = "entity_value"
+
+                request = dataplex_v1.CreateDataScanRequest(
+                    parent="parent_value",
+                    data_scan=data_scan,
+                    data_scan_id="data_scan_id_value",
+                )
+
+                # Make the request
+                operation = client.create_data_scan(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = operation.result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.CreateDataScanRequest, dict]):
+                The request object. Create dataScan request.
+            parent (str):
+                Required. The resource name of the parent location:
+                ``projects/{project}/locations/{location_id}`` where
+                ``project`` refers to a *project_id* or *project_number*
+                and ``location_id`` refers to a GCP region.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            data_scan (google.cloud.dataplex_v1.types.DataScan):
+                Required. DataScan resource.
+                This corresponds to the ``data_scan`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            data_scan_id (str):
+                Required. DataScan identifier.
+
+                -  Must contain only lowercase letters, numbers and
+                   hyphens.
+                -  Must start with a letter.
+                -  Must end with a number or a letter.
+                -  Must be between 1-63 characters.
+                -  Must be unique within the customer project /
+                   location.
+
+                This corresponds to the ``data_scan_id`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation.Operation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.DataScan` Represents a user-visible job which provides the insights for the related
+                   data source.
+
+                   For example:
+
+                   -  Data Quality: generates queries based on the rules
+                      and runs against the data to get data quality
+                      check results.
+                   -  Data Profile: analyzes the data in table(s) and
+                      generates insights about the structure, content
+                      and relationships (such as null percent,
+                      cardinality, min/max/mean, etc).
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent, data_scan, data_scan_id])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, datascans.CreateDataScanRequest):
+            request = datascans.CreateDataScanRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if parent is not None:
+                request.parent = parent
+            if data_scan is not None:
+                request.data_scan = data_scan
+            if data_scan_id is not None:
+                request.data_scan_id = data_scan_id
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.create_data_scan]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation.from_gapic(
+            response,
+            self._transport.operations_client,
+            datascans.DataScan,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def update_data_scan(self,
+            request: Optional[Union[datascans.UpdateDataScanRequest, dict]] = None,
+            *,
+            data_scan: Optional[datascans.DataScan] = None,
+            update_mask: Optional[field_mask_pb2.FieldMask] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation.Operation:
+        r"""Updates a DataScan resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_update_data_scan():
+                # Create a client
+                client = dataplex_v1.DataScanServiceClient()
+
+                # Initialize request argument(s)
+                data_scan = dataplex_v1.DataScan()
+                data_scan.data_quality_spec.rules.dimension = "dimension_value"
+                data_scan.data.entity = "entity_value"
+
+                request = dataplex_v1.UpdateDataScanRequest(
+                    data_scan=data_scan,
+                )
+
+                # Make the request
+                operation = client.update_data_scan(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = operation.result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.UpdateDataScanRequest, dict]):
+                The request object. Update dataScan request.
+            data_scan (google.cloud.dataplex_v1.types.DataScan):
+                Required. DataScan resource to be updated.
+
+                Only fields specified in ``update_mask`` are updated.
+
+                This corresponds to the ``data_scan`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            update_mask (google.protobuf.field_mask_pb2.FieldMask):
+                Required. Mask of fields to update.
+                This corresponds to the ``update_mask`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation.Operation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.DataScan` Represents a user-visible job which provides the insights for the related
+                   data source.
+
+                   For example:
+
+                   -  Data Quality: generates queries based on the rules
+                      and runs against the data to get data quality
+                      check results.
+                   -  Data Profile: analyzes the data in table(s) and
+                      generates insights about the structure, content
+                      and relationships (such as null percent,
+                      cardinality, min/max/mean, etc).
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([data_scan, update_mask])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, datascans.UpdateDataScanRequest):
+            request = datascans.UpdateDataScanRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if data_scan is not None:
+                request.data_scan = data_scan
+            if update_mask is not None:
+                request.update_mask = update_mask
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.update_data_scan]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("data_scan.name", request.data_scan.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation.from_gapic(
+            response,
+            self._transport.operations_client,
+            datascans.DataScan,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def delete_data_scan(self,
+            request: Optional[Union[datascans.DeleteDataScanRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation.Operation:
+        r"""Deletes a DataScan resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_delete_data_scan():
+                # Create a client
+                client = dataplex_v1.DataScanServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.DeleteDataScanRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                operation = client.delete_data_scan(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = operation.result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.DeleteDataScanRequest, dict]):
+                The request object. Delete dataScan request.
+            name (str):
+                Required. The resource name of the dataScan:
+                ``projects/{project}/locations/{location_id}/dataScans/{data_scan_id}``
+                where ``project`` refers to a *project_id* or
+                *project_number* and ``location_id`` refers to a GCP
+                region.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation.Operation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
+                   empty messages in your APIs. A typical example is to
+                   use it as the request or the response type of an API
+                   method. For instance:
+
+                      service Foo {
+                         rpc Bar(google.protobuf.Empty) returns
+                         (google.protobuf.Empty);
+
+                      }
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, datascans.DeleteDataScanRequest):
+            request = datascans.DeleteDataScanRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if name is not None:
+                request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.delete_data_scan]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation.from_gapic(
+            response,
+            self._transport.operations_client,
+            empty_pb2.Empty,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def get_data_scan(self,
+            request: Optional[Union[datascans.GetDataScanRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> datascans.DataScan:
+        r"""Gets a DataScan resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_get_data_scan():
+                # Create a client
+                client = dataplex_v1.DataScanServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.GetDataScanRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                response = client.get_data_scan(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.GetDataScanRequest, dict]):
+                The request object. Get dataScan request.
+            name (str):
+                Required. The resource name of the dataScan:
+                ``projects/{project}/locations/{location_id}/dataScans/{data_scan_id}``
+                where ``project`` refers to a *project_id* or
+                *project_number* and ``location_id`` refers to a GCP
+                region.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.DataScan:
+                Represents a user-visible job which provides the insights for the related
+                   data source.
+
+                   For example:
+
+                   -  Data Quality: generates queries based on the rules
+                      and runs against the data to get data quality
+                      check results.
+                   -  Data Profile: analyzes the data in table(s) and
+                      generates insights about the structure, content
+                      and relationships (such as null percent,
+                      cardinality, min/max/mean, etc).
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, datascans.GetDataScanRequest):
+            request = datascans.GetDataScanRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if name is not None:
+                request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.get_data_scan]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def list_data_scans(self,
+            request: Optional[Union[datascans.ListDataScansRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> pagers.ListDataScansPager:
+        r"""Lists DataScans.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_list_data_scans():
+                # Create a client
+                client = dataplex_v1.DataScanServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.ListDataScansRequest(
+                    parent="parent_value",
+                )
+
+                # Make the request
+                page_result = client.list_data_scans(request=request)
+
+                # Handle the response
+                for response in page_result:
+                    print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.ListDataScansRequest, dict]):
+                The request object. List dataScans request.
+            parent (str):
+                Required. The resource name of the parent location:
+                ``projects/{project}/locations/{location_id}`` where
+                ``project`` refers to a *project_id* or *project_number*
+                and ``location_id`` refers to a GCP region.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.services.data_scan_service.pagers.ListDataScansPager:
+                List dataScans response.
+
+                Iterating over this object will yield
+                results and resolve additional pages
+                automatically.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, datascans.ListDataScansRequest):
+            request = datascans.ListDataScansRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if parent is not None:
+                request.parent = parent
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.list_data_scans]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # This method is paged; wrap the response in a pager, which provides
+        # an `__iter__` convenience method.
+        response = pagers.ListDataScansPager(
+            method=rpc,
+            request=request,
+            response=response,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def run_data_scan(self,
+            request: Optional[Union[datascans.RunDataScanRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> datascans.RunDataScanResponse:
+        r"""Runs an on-demand execution of a DataScan
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_run_data_scan():
+                # Create a client
+                client = dataplex_v1.DataScanServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.RunDataScanRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                response = client.run_data_scan(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.RunDataScanRequest, dict]):
+                The request object. Run DataScan Request
+            name (str):
+                Required. The resource name of the DataScan:
+                ``projects/{project}/locations/{location_id}/dataScans/{data_scan_id}``.
+                where ``project`` refers to a *project_id* or
+                *project_number* and ``location_id`` refers to a GCP
+                region.
+
+                Only **OnDemand** data scans are allowed.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.RunDataScanResponse:
+                Run DataScan Response.
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, datascans.RunDataScanRequest):
+            request = datascans.RunDataScanRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if name is not None:
+                request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.run_data_scan]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def get_data_scan_job(self,
+            request: Optional[Union[datascans.GetDataScanJobRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> datascans.DataScanJob:
+        r"""Gets a DataScanJob resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_get_data_scan_job():
+                # Create a client
+                client = dataplex_v1.DataScanServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.GetDataScanJobRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                response = client.get_data_scan_job(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.GetDataScanJobRequest, dict]):
+                The request object. Get DataScanJob request.
+            name (str):
+                Required. The resource name of the DataScanJob:
+                ``projects/{project}/locations/{location_id}/dataScans/{data_scan_id}/jobs/{data_scan_job_id}``
+                where ``project`` refers to a *project_id* or
+                *project_number* and ``location_id`` refers to a GCP
+                region.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.DataScanJob:
+                A DataScanJob represents an instance
+                of DataScan execution.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, datascans.GetDataScanJobRequest):
+            request = datascans.GetDataScanJobRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if name is not None:
+                request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.get_data_scan_job]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def list_data_scan_jobs(self,
+            request: Optional[Union[datascans.ListDataScanJobsRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> pagers.ListDataScanJobsPager:
+        r"""Lists DataScanJobs under the given DataScan.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_list_data_scan_jobs():
+                # Create a client
+                client = dataplex_v1.DataScanServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.ListDataScanJobsRequest(
+                    parent="parent_value",
+                )
+
+                # Make the request
+                page_result = client.list_data_scan_jobs(request=request)
+
+                # Handle the response
+                for response in page_result:
+                    print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.ListDataScanJobsRequest, dict]):
+                The request object. List DataScanJobs request.
+            parent (str):
+                Required. The resource name of the parent environment:
+                ``projects/{project}/locations/{location_id}/dataScans/{data_scan_id}``
+                where ``project`` refers to a *project_id* or
+                *project_number* and ``location_id`` refers to a GCP
+                region.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.services.data_scan_service.pagers.ListDataScanJobsPager:
+                List DataScanJobs response.
+
+                Iterating over this object will yield
+                results and resolve additional pages
+                automatically.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, datascans.ListDataScanJobsRequest):
+            request = datascans.ListDataScanJobsRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if parent is not None:
+                request.parent = parent
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.list_data_scan_jobs]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # This method is paged; wrap the response in a pager, which provides
+        # an `__iter__` convenience method.
+        response = pagers.ListDataScanJobsPager(
+            method=rpc,
+            request=request,
+            response=response,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def generate_data_quality_rules(self,
+            request: Optional[Union[datascans.GenerateDataQualityRulesRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> datascans.GenerateDataQualityRulesResponse:
+        r"""Generates recommended data quality rules based on the
+        results of a data profiling scan.
+
+        Use the recommendations to build rules for a data
+        quality scan.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_generate_data_quality_rules():
+                # Create a client
+                client = dataplex_v1.DataScanServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.GenerateDataQualityRulesRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                response = client.generate_data_quality_rules(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.GenerateDataQualityRulesRequest, dict]):
+                The request object. Request details for generating data
+                quality rule recommendations.
+            name (str):
+                Required. The name must be one of the following:
+
+                -  The name of a data scan with at least one successful,
+                   completed data profiling job
+                -  The name of a successful, completed data profiling
+                   job (a data scan job where the job type is data
+                   profiling)
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.GenerateDataQualityRulesResponse:
+                Response details for data quality
+                rule recommendations.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, datascans.GenerateDataQualityRulesRequest):
+            request = datascans.GenerateDataQualityRulesRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if name is not None:
+                request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.generate_data_quality_rules]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def __enter__(self) -> "DataScanServiceClient":
+        return self
+
+    def __exit__(self, type, value, traceback):
+        """Releases underlying transport's resources.
+
+        .. warning::
+            ONLY use as a context manager if the transport is NOT shared
+            with other clients! Exiting the with block will CLOSE the transport
+            and may cause errors in other clients!
+        """
+        self.transport.close()
+
+    def list_operations(
+        self,
+        request: Optional[operations_pb2.ListOperationsRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> operations_pb2.ListOperationsResponse:
+        r"""Lists operations that match the specified filter in the request.
+
+        Args:
+            request (:class:`~.operations_pb2.ListOperationsRequest`):
+                The request object. Request message for
+                `ListOperations` method.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.operations_pb2.ListOperationsResponse:
+                Response message for ``ListOperations`` method.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.ListOperationsRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.list_operations]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request, retry=retry, timeout=timeout, metadata=metadata,)
+
+        # Done; return the response.
+        return response
+
+    def get_operation(
+        self,
+        request: Optional[operations_pb2.GetOperationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> operations_pb2.Operation:
+        r"""Gets the latest state of a long-running operation.
+
+        Args:
+            request (:class:`~.operations_pb2.GetOperationRequest`):
+                The request object. Request message for
+                `GetOperation` method.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.operations_pb2.Operation:
+                An ``Operation`` object.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.GetOperationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.get_operation]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request, retry=retry, timeout=timeout, metadata=metadata,)
+
+        # Done; return the response.
+        return response
+
+    def delete_operation(
+        self,
+        request: Optional[operations_pb2.DeleteOperationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> None:
+        r"""Deletes a long-running operation.
+
+        This method indicates that the client is no longer interested
+        in the operation result. It does not cancel the operation.
+        If the server doesn't support this method, it returns
+        `google.rpc.Code.UNIMPLEMENTED`.
+
+        Args:
+            request (:class:`~.operations_pb2.DeleteOperationRequest`):
+                The request object. Request message for
+                `DeleteOperation` method.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            None
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.DeleteOperationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.delete_operation]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
+
+    def cancel_operation(
+        self,
+        request: Optional[operations_pb2.CancelOperationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> None:
+        r"""Starts asynchronous cancellation on a long-running operation.
+
+        The server makes a best effort to cancel the operation, but success
+        is not guaranteed.  If the server doesn't support this method, it returns
+        `google.rpc.Code.UNIMPLEMENTED`.
+
+        Args:
+            request (:class:`~.operations_pb2.CancelOperationRequest`):
+                The request object. Request message for
+                `CancelOperation` method.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            None
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.CancelOperationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.cancel_operation]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
+
+    def get_location(
+        self,
+        request: Optional[locations_pb2.GetLocationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> locations_pb2.Location:
+        r"""Gets information about a location.
+
+        Args:
+            request (:class:`~.location_pb2.GetLocationRequest`):
+                The request object. Request message for
+                `GetLocation` method.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                 if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.location_pb2.Location:
+                Location object.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = locations_pb2.GetLocationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.get_location]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request, retry=retry, timeout=timeout, metadata=metadata,)
+
+        # Done; return the response.
+        return response
+
+    def list_locations(
+        self,
+        request: Optional[locations_pb2.ListLocationsRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> locations_pb2.ListLocationsResponse:
+        r"""Lists information about the supported locations for this service.
+
+        Args:
+            request (:class:`~.location_pb2.ListLocationsRequest`):
+                The request object. Request message for
+                `ListLocations` method.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                 if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.location_pb2.ListLocationsResponse:
+                Response message for ``ListLocations`` method.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = locations_pb2.ListLocationsRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.list_locations]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request, retry=retry, timeout=timeout, metadata=metadata,)
+
+        # Done; return the response.
+        return response
+
+
+DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(gapic_version=package_version.__version__)
+
+
+__all__ = (
+    "DataScanServiceClient",
+)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_scan_service/pagers.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_scan_service/pagers.py
new file mode 100644
index 000000000000..897a4108391e
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_scan_service/pagers.py
@@ -0,0 +1,297 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from google.api_core import gapic_v1
+from google.api_core import retry as retries
+from google.api_core import retry_async as retries_async
+from typing import Any, AsyncIterator, Awaitable, Callable, Sequence, Tuple, Optional, Iterator, Union
+try:
+    OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None]
+    OptionalAsyncRetry = Union[retries_async.AsyncRetry, gapic_v1.method._MethodDefault, None]
+except AttributeError:  # pragma: NO COVER
+    OptionalRetry = Union[retries.Retry, object, None]  # type: ignore
+    OptionalAsyncRetry = Union[retries_async.AsyncRetry, object, None]  # type: ignore
+
+from google.cloud.dataplex_v1.types import datascans
+
+
+class ListDataScansPager:
+    """A pager for iterating through ``list_data_scans`` requests.
+
+    This class thinly wraps an initial
+    :class:`google.cloud.dataplex_v1.types.ListDataScansResponse` object, and
+    provides an ``__iter__`` method to iterate through its
+    ``data_scans`` field.
+
+    If there are more pages, the ``__iter__`` method will make additional
+    ``ListDataScans`` requests and continue to iterate
+    through the ``data_scans`` field on the
+    corresponding responses.
+
+    All the usual :class:`google.cloud.dataplex_v1.types.ListDataScansResponse`
+    attributes are available on the pager. If multiple requests are made, only
+    the most recent response is retained, and thus used for attribute lookup.
+    """
+    def __init__(self,
+            method: Callable[..., datascans.ListDataScansResponse],
+            request: datascans.ListDataScansRequest,
+            response: datascans.ListDataScansResponse,
+            *,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = ()):
+        """Instantiate the pager.
+
+        Args:
+            method (Callable): The method that was originally called, and
+                which instantiated this pager.
+            request (google.cloud.dataplex_v1.types.ListDataScansRequest):
+                The initial request object.
+            response (google.cloud.dataplex_v1.types.ListDataScansResponse):
+                The initial response object.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        self._method = method
+        self._request = datascans.ListDataScansRequest(request)
+        self._response = response
+        self._retry = retry
+        self._timeout = timeout
+        self._metadata = metadata
+
+    def __getattr__(self, name: str) -> Any:
+        return getattr(self._response, name)
+
+    @property
+    def pages(self) -> Iterator[datascans.ListDataScansResponse]:
+        yield self._response
+        while self._response.next_page_token:
+            self._request.page_token = self._response.next_page_token
+            self._response = self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
+            yield self._response
+
+    def __iter__(self) -> Iterator[datascans.DataScan]:
+        for page in self.pages:
+            yield from page.data_scans
+
+    def __repr__(self) -> str:
+        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
+
+
+class ListDataScansAsyncPager:
+    """A pager for iterating through ``list_data_scans`` requests.
+
+    This class thinly wraps an initial
+    :class:`google.cloud.dataplex_v1.types.ListDataScansResponse` object, and
+    provides an ``__aiter__`` method to iterate through its
+    ``data_scans`` field.
+
+    If there are more pages, the ``__aiter__`` method will make additional
+    ``ListDataScans`` requests and continue to iterate
+    through the ``data_scans`` field on the
+    corresponding responses.
+
+    All the usual :class:`google.cloud.dataplex_v1.types.ListDataScansResponse`
+    attributes are available on the pager. If multiple requests are made, only
+    the most recent response is retained, and thus used for attribute lookup.
+    """
+    def __init__(self,
+            method: Callable[..., Awaitable[datascans.ListDataScansResponse]],
+            request: datascans.ListDataScansRequest,
+            response: datascans.ListDataScansResponse,
+            *,
+            retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = ()):
+        """Instantiates the pager.
+
+        Args:
+            method (Callable): The method that was originally called, and
+                which instantiated this pager.
+            request (google.cloud.dataplex_v1.types.ListDataScansRequest):
+                The initial request object.
+            response (google.cloud.dataplex_v1.types.ListDataScansResponse):
+                The initial response object.
+            retry (google.api_core.retry.AsyncRetry): Designation of what errors,
+                if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        self._method = method
+        self._request = datascans.ListDataScansRequest(request)
+        self._response = response
+        self._retry = retry
+        self._timeout = timeout
+        self._metadata = metadata
+
+    def __getattr__(self, name: str) -> Any:
+        return getattr(self._response, name)
+
+    @property
+    async def pages(self) -> AsyncIterator[datascans.ListDataScansResponse]:
+        yield self._response
+        while self._response.next_page_token:
+            self._request.page_token = self._response.next_page_token
+            self._response = await self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
+            yield self._response
+    def __aiter__(self) -> AsyncIterator[datascans.DataScan]:
+        async def async_generator():
+            async for page in self.pages:
+                for response in page.data_scans:
+                    yield response
+
+        return async_generator()
+
+    def __repr__(self) -> str:
+        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
+
+
+class ListDataScanJobsPager:
+    """A pager for iterating through ``list_data_scan_jobs`` requests.
+
+    This class thinly wraps an initial
+    :class:`google.cloud.dataplex_v1.types.ListDataScanJobsResponse` object, and
+    provides an ``__iter__`` method to iterate through its
+    ``data_scan_jobs`` field.
+
+    If there are more pages, the ``__iter__`` method will make additional
+    ``ListDataScanJobs`` requests and continue to iterate
+    through the ``data_scan_jobs`` field on the
+    corresponding responses.
+
+    All the usual :class:`google.cloud.dataplex_v1.types.ListDataScanJobsResponse`
+    attributes are available on the pager. If multiple requests are made, only
+    the most recent response is retained, and thus used for attribute lookup.
+    """
+    def __init__(self,
+            method: Callable[..., datascans.ListDataScanJobsResponse],
+            request: datascans.ListDataScanJobsRequest,
+            response: datascans.ListDataScanJobsResponse,
+            *,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = ()):
+        """Instantiate the pager.
+
+        Args:
+            method (Callable): The method that was originally called, and
+                which instantiated this pager.
+            request (google.cloud.dataplex_v1.types.ListDataScanJobsRequest):
+                The initial request object.
+            response (google.cloud.dataplex_v1.types.ListDataScanJobsResponse):
+                The initial response object.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        self._method = method
+        self._request = datascans.ListDataScanJobsRequest(request)
+        self._response = response
+        self._retry = retry
+        self._timeout = timeout
+        self._metadata = metadata
+
+    def __getattr__(self, name: str) -> Any:
+        return getattr(self._response, name)
+
+    @property
+    def pages(self) -> Iterator[datascans.ListDataScanJobsResponse]:
+        yield self._response
+        while self._response.next_page_token:
+            self._request.page_token = self._response.next_page_token
+            self._response = self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
+            yield self._response
+
+    def __iter__(self) -> Iterator[datascans.DataScanJob]:
+        for page in self.pages:
+            yield from page.data_scan_jobs
+
+    def __repr__(self) -> str:
+        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
+
+
+class ListDataScanJobsAsyncPager:
+    """A pager for iterating through ``list_data_scan_jobs`` requests.
+
+    This class thinly wraps an initial
+    :class:`google.cloud.dataplex_v1.types.ListDataScanJobsResponse` object, and
+    provides an ``__aiter__`` method to iterate through its
+    ``data_scan_jobs`` field.
+
+    If there are more pages, the ``__aiter__`` method will make additional
+    ``ListDataScanJobs`` requests and continue to iterate
+    through the ``data_scan_jobs`` field on the
+    corresponding responses.
+
+    All the usual :class:`google.cloud.dataplex_v1.types.ListDataScanJobsResponse`
+    attributes are available on the pager. If multiple requests are made, only
+    the most recent response is retained, and thus used for attribute lookup.
+    """
+    def __init__(self,
+            method: Callable[..., Awaitable[datascans.ListDataScanJobsResponse]],
+            request: datascans.ListDataScanJobsRequest,
+            response: datascans.ListDataScanJobsResponse,
+            *,
+            retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = ()):
+        """Instantiates the pager.
+
+        Args:
+            method (Callable): The method that was originally called, and
+                which instantiated this pager.
+            request (google.cloud.dataplex_v1.types.ListDataScanJobsRequest):
+                The initial request object.
+            response (google.cloud.dataplex_v1.types.ListDataScanJobsResponse):
+                The initial response object.
+            retry (google.api_core.retry.AsyncRetry): Designation of what errors,
+                if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        self._method = method
+        self._request = datascans.ListDataScanJobsRequest(request)
+        self._response = response
+        self._retry = retry
+        self._timeout = timeout
+        self._metadata = metadata
+
+    def __getattr__(self, name: str) -> Any:
+        return getattr(self._response, name)
+
+    @property
+    async def pages(self) -> AsyncIterator[datascans.ListDataScanJobsResponse]:
+        yield self._response
+        while self._response.next_page_token:
+            self._request.page_token = self._response.next_page_token
+            self._response = await self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
+            yield self._response
+    def __aiter__(self) -> AsyncIterator[datascans.DataScanJob]:
+        async def async_generator():
+            async for page in self.pages:
+                for response in page.data_scan_jobs:
+                    yield response
+
+        return async_generator()
+
+    def __repr__(self) -> str:
+        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_scan_service/transports/README.rst b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_scan_service/transports/README.rst
new file mode 100644
index 000000000000..e27965be0a36
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_scan_service/transports/README.rst
@@ -0,0 +1,9 @@
+
+transport inheritance structure
+_______________________________
+
+`DataScanServiceTransport` is the ABC for all transports.
+- public child `DataScanServiceGrpcTransport` for sync gRPC transport (defined in `grpc.py`).
+- public child `DataScanServiceGrpcAsyncIOTransport` for async gRPC transport (defined in `grpc_asyncio.py`).
+- private child `_BaseDataScanServiceRestTransport` for base REST transport with inner classes `_BaseMETHOD` (defined in `rest_base.py`).
+- public child `DataScanServiceRestTransport` for sync REST transport with inner classes `METHOD` derived from the parent's corresponding `_BaseMETHOD` classes (defined in `rest.py`).
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_scan_service/transports/__init__.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_scan_service/transports/__init__.py
new file mode 100644
index 000000000000..b6a6e3c5325a
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_scan_service/transports/__init__.py
@@ -0,0 +1,33 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from collections import OrderedDict
+from typing import Dict, Type
+
+from .base import DataScanServiceTransport
+from .grpc import DataScanServiceGrpcTransport
+from .grpc_asyncio import DataScanServiceGrpcAsyncIOTransport
+
+
+# Compile a registry of transports.
+_transport_registry = OrderedDict()  # type: Dict[str, Type[DataScanServiceTransport]]
+_transport_registry['grpc'] = DataScanServiceGrpcTransport
+_transport_registry['grpc_asyncio'] = DataScanServiceGrpcAsyncIOTransport
+
+__all__ = (
+    'DataScanServiceTransport',
+    'DataScanServiceGrpcTransport',
+    'DataScanServiceGrpcAsyncIOTransport',
+)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_scan_service/transports/base.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_scan_service/transports/base.py
new file mode 100644
index 000000000000..bbdd9e2dffed
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_scan_service/transports/base.py
@@ -0,0 +1,358 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+import abc
+from typing import Awaitable, Callable, Dict, Optional, Sequence, Union
+
+from google.cloud.dataplex_v1 import gapic_version as package_version
+
+import google.auth  # type: ignore
+import google.api_core
+from google.api_core import exceptions as core_exceptions
+from google.api_core import gapic_v1
+from google.api_core import retry as retries
+from google.api_core import operations_v1
+from google.auth import credentials as ga_credentials  # type: ignore
+from google.oauth2 import service_account # type: ignore
+
+from google.cloud.dataplex_v1.types import datascans
+from google.cloud.location import locations_pb2 # type: ignore
+from google.iam.v1 import iam_policy_pb2  # type: ignore
+from google.iam.v1 import policy_pb2  # type: ignore
+from google.longrunning import operations_pb2 # type: ignore
+
+DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(gapic_version=package_version.__version__)
+
+
+class DataScanServiceTransport(abc.ABC):
+    """Abstract transport class for DataScanService."""
+
+    AUTH_SCOPES = (
+        'https://www.googleapis.com/auth/cloud-platform',
+    )
+
+    DEFAULT_HOST: str = 'dataplex.googleapis.com'
+    def __init__(
+            self, *,
+            host: str = DEFAULT_HOST,
+            credentials: Optional[ga_credentials.Credentials] = None,
+            credentials_file: Optional[str] = None,
+            scopes: Optional[Sequence[str]] = None,
+            quota_project_id: Optional[str] = None,
+            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
+            always_use_jwt_access: Optional[bool] = False,
+            api_audience: Optional[str] = None,
+            **kwargs,
+            ) -> None:
+        """Instantiate the transport.
+
+        Args:
+            host (Optional[str]):
+                 The hostname to connect to (default: 'dataplex.googleapis.com').
+            credentials (Optional[google.auth.credentials.Credentials]): The
+                authorization credentials to attach to requests. These
+                credentials identify the application to the service; if none
+                are specified, the client will attempt to ascertain the
+                credentials from the environment.
+            credentials_file (Optional[str]): A file with credentials that can
+                be loaded with :func:`google.auth.load_credentials_from_file`.
+                This argument is mutually exclusive with credentials.
+            scopes (Optional[Sequence[str]]): A list of scopes.
+            quota_project_id (Optional[str]): An optional project to use for billing
+                and quota.
+            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
+                The client info used to send a user-agent string along with
+                API requests. If ``None``, then default info will be used.
+                Generally, you only need to set this if you're developing
+                your own client library.
+            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
+                be used for service account credentials.
+        """
+
+        scopes_kwargs = {"scopes": scopes, "default_scopes": self.AUTH_SCOPES}
+
+        # Save the scopes.
+        self._scopes = scopes
+        if not hasattr(self, "_ignore_credentials"):
+            self._ignore_credentials: bool = False
+
+        # If no credentials are provided, then determine the appropriate
+        # defaults.
+        if credentials and credentials_file:
+            raise core_exceptions.DuplicateCredentialArgs("'credentials_file' and 'credentials' are mutually exclusive")
+
+        if credentials_file is not None:
+            credentials, _ = google.auth.load_credentials_from_file(
+                                credentials_file,
+                                **scopes_kwargs,
+                                quota_project_id=quota_project_id
+                            )
+        elif credentials is None and not self._ignore_credentials:
+            credentials, _ = google.auth.default(**scopes_kwargs, quota_project_id=quota_project_id)
+            # Don't apply audience if the credentials file passed from user.
+            if hasattr(credentials, "with_gdch_audience"):
+                credentials = credentials.with_gdch_audience(api_audience if api_audience else host)
+
+        # If the credentials are service account credentials, then always try to use self signed JWT.
+        if always_use_jwt_access and isinstance(credentials, service_account.Credentials) and hasattr(service_account.Credentials, "with_always_use_jwt_access"):
+            credentials = credentials.with_always_use_jwt_access(True)
+
+        # Save the credentials.
+        self._credentials = credentials
+
+        # Save the hostname. Default to port 443 (HTTPS) if none is specified.
+        if ':' not in host:
+            host += ':443'
+        self._host = host
+
+    @property
+    def host(self):
+        return self._host
+
+    def _prep_wrapped_messages(self, client_info):
+        # Precompute the wrapped methods.
+        self._wrapped_methods = {
+            self.create_data_scan: gapic_v1.method.wrap_method(
+                self.create_data_scan,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.update_data_scan: gapic_v1.method.wrap_method(
+                self.update_data_scan,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.delete_data_scan: gapic_v1.method.wrap_method(
+                self.delete_data_scan,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.get_data_scan: gapic_v1.method.wrap_method(
+                self.get_data_scan,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.list_data_scans: gapic_v1.method.wrap_method(
+                self.list_data_scans,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.run_data_scan: gapic_v1.method.wrap_method(
+                self.run_data_scan,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.get_data_scan_job: gapic_v1.method.wrap_method(
+                self.get_data_scan_job,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.list_data_scan_jobs: gapic_v1.method.wrap_method(
+                self.list_data_scan_jobs,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.generate_data_quality_rules: gapic_v1.method.wrap_method(
+                self.generate_data_quality_rules,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.get_location: gapic_v1.method.wrap_method(
+                self.get_location,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.list_locations: gapic_v1.method.wrap_method(
+                self.list_locations,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.cancel_operation: gapic_v1.method.wrap_method(
+                self.cancel_operation,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.delete_operation: gapic_v1.method.wrap_method(
+                self.delete_operation,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.get_operation: gapic_v1.method.wrap_method(
+                self.get_operation,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.list_operations: gapic_v1.method.wrap_method(
+                self.list_operations,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+         }
+
+    def close(self):
+        """Closes resources associated with the transport.
+
+       .. warning::
+            Only call this method if the transport is NOT shared
+            with other clients - this may cause errors in other clients!
+        """
+        raise NotImplementedError()
+
+    @property
+    def operations_client(self):
+        """Return the client designed to process long-running operations."""
+        raise NotImplementedError()
+
+    @property
+    def create_data_scan(self) -> Callable[
+            [datascans.CreateDataScanRequest],
+            Union[
+                operations_pb2.Operation,
+                Awaitable[operations_pb2.Operation]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def update_data_scan(self) -> Callable[
+            [datascans.UpdateDataScanRequest],
+            Union[
+                operations_pb2.Operation,
+                Awaitable[operations_pb2.Operation]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def delete_data_scan(self) -> Callable[
+            [datascans.DeleteDataScanRequest],
+            Union[
+                operations_pb2.Operation,
+                Awaitable[operations_pb2.Operation]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def get_data_scan(self) -> Callable[
+            [datascans.GetDataScanRequest],
+            Union[
+                datascans.DataScan,
+                Awaitable[datascans.DataScan]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def list_data_scans(self) -> Callable[
+            [datascans.ListDataScansRequest],
+            Union[
+                datascans.ListDataScansResponse,
+                Awaitable[datascans.ListDataScansResponse]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def run_data_scan(self) -> Callable[
+            [datascans.RunDataScanRequest],
+            Union[
+                datascans.RunDataScanResponse,
+                Awaitable[datascans.RunDataScanResponse]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def get_data_scan_job(self) -> Callable[
+            [datascans.GetDataScanJobRequest],
+            Union[
+                datascans.DataScanJob,
+                Awaitable[datascans.DataScanJob]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def list_data_scan_jobs(self) -> Callable[
+            [datascans.ListDataScanJobsRequest],
+            Union[
+                datascans.ListDataScanJobsResponse,
+                Awaitable[datascans.ListDataScanJobsResponse]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def generate_data_quality_rules(self) -> Callable[
+            [datascans.GenerateDataQualityRulesRequest],
+            Union[
+                datascans.GenerateDataQualityRulesResponse,
+                Awaitable[datascans.GenerateDataQualityRulesResponse]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def list_operations(
+        self,
+    ) -> Callable[
+        [operations_pb2.ListOperationsRequest],
+        Union[operations_pb2.ListOperationsResponse, Awaitable[operations_pb2.ListOperationsResponse]],
+    ]:
+        raise NotImplementedError()
+
+    @property
+    def get_operation(
+        self,
+    ) -> Callable[
+        [operations_pb2.GetOperationRequest],
+        Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]],
+    ]:
+        raise NotImplementedError()
+
+    @property
+    def cancel_operation(
+        self,
+    ) -> Callable[
+        [operations_pb2.CancelOperationRequest],
+        None,
+    ]:
+        raise NotImplementedError()
+
+    @property
+    def delete_operation(
+        self,
+    ) -> Callable[
+        [operations_pb2.DeleteOperationRequest],
+        None,
+    ]:
+        raise NotImplementedError()
+
+    @property
+    def get_location(self,
+    ) -> Callable[
+        [locations_pb2.GetLocationRequest],
+        Union[locations_pb2.Location, Awaitable[locations_pb2.Location]],
+    ]:
+        raise NotImplementedError()
+
+    @property
+    def list_locations(self,
+    ) -> Callable[
+        [locations_pb2.ListLocationsRequest],
+        Union[locations_pb2.ListLocationsResponse, Awaitable[locations_pb2.ListLocationsResponse]],
+    ]:
+        raise NotImplementedError()
+
+    @property
+    def kind(self) -> str:
+        raise NotImplementedError()
+
+
+__all__ = (
+    'DataScanServiceTransport',
+)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_scan_service/transports/grpc.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_scan_service/transports/grpc.py
new file mode 100644
index 000000000000..7fa57f382e72
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_scan_service/transports/grpc.py
@@ -0,0 +1,615 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+import warnings
+from typing import Callable, Dict, Optional, Sequence, Tuple, Union
+
+from google.api_core import grpc_helpers
+from google.api_core import operations_v1
+from google.api_core import gapic_v1
+import google.auth                         # type: ignore
+from google.auth import credentials as ga_credentials  # type: ignore
+from google.auth.transport.grpc import SslCredentials  # type: ignore
+
+import grpc  # type: ignore
+
+from google.cloud.dataplex_v1.types import datascans
+from google.cloud.location import locations_pb2 # type: ignore
+from google.iam.v1 import iam_policy_pb2  # type: ignore
+from google.iam.v1 import policy_pb2  # type: ignore
+from google.longrunning import operations_pb2 # type: ignore
+from .base import DataScanServiceTransport, DEFAULT_CLIENT_INFO
+
+
+class DataScanServiceGrpcTransport(DataScanServiceTransport):
+    """gRPC backend transport for DataScanService.
+
+    DataScanService manages DataScan resources which can be
+    configured to run various types of data scanning workload and
+    generate enriched metadata (e.g. Data Profile, Data Quality) for
+    the data source.
+
+    This class defines the same methods as the primary client, so the
+    primary client can load the underlying transport implementation
+    and call it.
+
+    It sends protocol buffers over the wire using gRPC (which is built on
+    top of HTTP/2); the ``grpcio`` package must be installed.
+    """
+    _stubs: Dict[str, Callable]
+
+    def __init__(self, *,
+            host: str = 'dataplex.googleapis.com',
+            credentials: Optional[ga_credentials.Credentials] = None,
+            credentials_file: Optional[str] = None,
+            scopes: Optional[Sequence[str]] = None,
+            channel: Optional[Union[grpc.Channel, Callable[..., grpc.Channel]]] = None,
+            api_mtls_endpoint: Optional[str] = None,
+            client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
+            ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None,
+            client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
+            quota_project_id: Optional[str] = None,
+            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
+            always_use_jwt_access: Optional[bool] = False,
+            api_audience: Optional[str] = None,
+            ) -> None:
+        """Instantiate the transport.
+
+        Args:
+            host (Optional[str]):
+                 The hostname to connect to (default: 'dataplex.googleapis.com').
+            credentials (Optional[google.auth.credentials.Credentials]): The
+                authorization credentials to attach to requests. These
+                credentials identify the application to the service; if none
+                are specified, the client will attempt to ascertain the
+                credentials from the environment.
+                This argument is ignored if a ``channel`` instance is provided.
+            credentials_file (Optional[str]): A file with credentials that can
+                be loaded with :func:`google.auth.load_credentials_from_file`.
+                This argument is ignored if a ``channel`` instance is provided.
+            scopes (Optional(Sequence[str])): A list of scopes. This argument is
+                ignored if a ``channel`` instance is provided.
+            channel (Optional[Union[grpc.Channel, Callable[..., grpc.Channel]]]):
+                A ``Channel`` instance through which to make calls, or a Callable
+                that constructs and returns one. If set to None, ``self.create_channel``
+                is used to create the channel. If a Callable is given, it will be called
+                with the same arguments as used in ``self.create_channel``.
+            api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint.
+                If provided, it overrides the ``host`` argument and tries to create
+                a mutual TLS channel with client SSL credentials from
+                ``client_cert_source`` or application default SSL credentials.
+            client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]):
+                Deprecated. A callback to provide client SSL certificate bytes and
+                private key bytes, both in PEM format. It is ignored if
+                ``api_mtls_endpoint`` is None.
+            ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials
+                for the grpc channel. It is ignored if a ``channel`` instance is provided.
+            client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]):
+                A callback to provide client certificate bytes and private key bytes,
+                both in PEM format. It is used to configure a mutual TLS channel. It is
+                ignored if a ``channel`` instance or ``ssl_channel_credentials`` is provided.
+            quota_project_id (Optional[str]): An optional project to use for billing
+                and quota.
+            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
+                The client info used to send a user-agent string along with
+                API requests. If ``None``, then default info will be used.
+                Generally, you only need to set this if you're developing
+                your own client library.
+            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
+                be used for service account credentials.
+
+        Raises:
+          google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport
+              creation failed for any reason.
+          google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials``
+              and ``credentials_file`` are passed.
+        """
+        self._grpc_channel = None
+        self._ssl_channel_credentials = ssl_channel_credentials
+        self._stubs: Dict[str, Callable] = {}
+        self._operations_client: Optional[operations_v1.OperationsClient] = None
+
+        if api_mtls_endpoint:
+            warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning)
+        if client_cert_source:
+            warnings.warn("client_cert_source is deprecated", DeprecationWarning)
+
+        if isinstance(channel, grpc.Channel):
+            # Ignore credentials if a channel was passed.
+            credentials = None
+            self._ignore_credentials = True
+            # If a channel was explicitly provided, set it.
+            self._grpc_channel = channel
+            self._ssl_channel_credentials = None
+
+        else:
+            if api_mtls_endpoint:
+                host = api_mtls_endpoint
+
+                # Create SSL credentials with client_cert_source or application
+                # default SSL credentials.
+                if client_cert_source:
+                    cert, key = client_cert_source()
+                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
+                        certificate_chain=cert, private_key=key
+                    )
+                else:
+                    self._ssl_channel_credentials = SslCredentials().ssl_credentials
+
+            else:
+                if client_cert_source_for_mtls and not ssl_channel_credentials:
+                    cert, key = client_cert_source_for_mtls()
+                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
+                        certificate_chain=cert, private_key=key
+                    )
+
+        # The base transport sets the host, credentials and scopes
+        super().__init__(
+            host=host,
+            credentials=credentials,
+            credentials_file=credentials_file,
+            scopes=scopes,
+            quota_project_id=quota_project_id,
+            client_info=client_info,
+            always_use_jwt_access=always_use_jwt_access,
+            api_audience=api_audience,
+        )
+
+        if not self._grpc_channel:
+            # initialize with the provided callable or the default channel
+            channel_init = channel or type(self).create_channel
+            self._grpc_channel = channel_init(
+                self._host,
+                # use the credentials which are saved
+                credentials=self._credentials,
+                # Set ``credentials_file`` to ``None`` here as
+                # the credentials that we saved earlier should be used.
+                credentials_file=None,
+                scopes=self._scopes,
+                ssl_credentials=self._ssl_channel_credentials,
+                quota_project_id=quota_project_id,
+                options=[
+                    ("grpc.max_send_message_length", -1),
+                    ("grpc.max_receive_message_length", -1),
+                ],
+            )
+
+        # Wrap messages. This must be done after self._grpc_channel exists
+        self._prep_wrapped_messages(client_info)
+
+    @classmethod
+    def create_channel(cls,
+                       host: str = 'dataplex.googleapis.com',
+                       credentials: Optional[ga_credentials.Credentials] = None,
+                       credentials_file: Optional[str] = None,
+                       scopes: Optional[Sequence[str]] = None,
+                       quota_project_id: Optional[str] = None,
+                       **kwargs) -> grpc.Channel:
+        """Create and return a gRPC channel object.
+        Args:
+            host (Optional[str]): The host for the channel to use.
+            credentials (Optional[~.Credentials]): The
+                authorization credentials to attach to requests. These
+                credentials identify this application to the service. If
+                none are specified, the client will attempt to ascertain
+                the credentials from the environment.
+            credentials_file (Optional[str]): A file with credentials that can
+                be loaded with :func:`google.auth.load_credentials_from_file`.
+                This argument is mutually exclusive with credentials.
+            scopes (Optional[Sequence[str]]): A optional list of scopes needed for this
+                service. These are only used when credentials are not specified and
+                are passed to :func:`google.auth.default`.
+            quota_project_id (Optional[str]): An optional project to use for billing
+                and quota.
+            kwargs (Optional[dict]): Keyword arguments, which are passed to the
+                channel creation.
+        Returns:
+            grpc.Channel: A gRPC channel object.
+
+        Raises:
+            google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials``
+              and ``credentials_file`` are passed.
+        """
+
+        return grpc_helpers.create_channel(
+            host,
+            credentials=credentials,
+            credentials_file=credentials_file,
+            quota_project_id=quota_project_id,
+            default_scopes=cls.AUTH_SCOPES,
+            scopes=scopes,
+            default_host=cls.DEFAULT_HOST,
+            **kwargs
+        )
+
+    @property
+    def grpc_channel(self) -> grpc.Channel:
+        """Return the channel designed to connect to this service.
+        """
+        return self._grpc_channel
+
+    @property
+    def operations_client(self) -> operations_v1.OperationsClient:
+        """Create the client designed to process long-running operations.
+
+        This property caches on the instance; repeated calls return the same
+        client.
+        """
+        # Quick check: Only create a new client if we do not already have one.
+        if self._operations_client is None:
+            self._operations_client = operations_v1.OperationsClient(
+                self.grpc_channel
+            )
+
+        # Return the client from cache.
+        return self._operations_client
+
+    @property
+    def create_data_scan(self) -> Callable[
+            [datascans.CreateDataScanRequest],
+            operations_pb2.Operation]:
+        r"""Return a callable for the create data scan method over gRPC.
+
+        Creates a DataScan resource.
+
+        Returns:
+            Callable[[~.CreateDataScanRequest],
+                    ~.Operation]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'create_data_scan' not in self._stubs:
+            self._stubs['create_data_scan'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataScanService/CreateDataScan',
+                request_serializer=datascans.CreateDataScanRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['create_data_scan']
+
+    @property
+    def update_data_scan(self) -> Callable[
+            [datascans.UpdateDataScanRequest],
+            operations_pb2.Operation]:
+        r"""Return a callable for the update data scan method over gRPC.
+
+        Updates a DataScan resource.
+
+        Returns:
+            Callable[[~.UpdateDataScanRequest],
+                    ~.Operation]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'update_data_scan' not in self._stubs:
+            self._stubs['update_data_scan'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataScanService/UpdateDataScan',
+                request_serializer=datascans.UpdateDataScanRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['update_data_scan']
+
+    @property
+    def delete_data_scan(self) -> Callable[
+            [datascans.DeleteDataScanRequest],
+            operations_pb2.Operation]:
+        r"""Return a callable for the delete data scan method over gRPC.
+
+        Deletes a DataScan resource.
+
+        Returns:
+            Callable[[~.DeleteDataScanRequest],
+                    ~.Operation]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'delete_data_scan' not in self._stubs:
+            self._stubs['delete_data_scan'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataScanService/DeleteDataScan',
+                request_serializer=datascans.DeleteDataScanRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['delete_data_scan']
+
+    @property
+    def get_data_scan(self) -> Callable[
+            [datascans.GetDataScanRequest],
+            datascans.DataScan]:
+        r"""Return a callable for the get data scan method over gRPC.
+
+        Gets a DataScan resource.
+
+        Returns:
+            Callable[[~.GetDataScanRequest],
+                    ~.DataScan]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'get_data_scan' not in self._stubs:
+            self._stubs['get_data_scan'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataScanService/GetDataScan',
+                request_serializer=datascans.GetDataScanRequest.serialize,
+                response_deserializer=datascans.DataScan.deserialize,
+            )
+        return self._stubs['get_data_scan']
+
+    @property
+    def list_data_scans(self) -> Callable[
+            [datascans.ListDataScansRequest],
+            datascans.ListDataScansResponse]:
+        r"""Return a callable for the list data scans method over gRPC.
+
+        Lists DataScans.
+
+        Returns:
+            Callable[[~.ListDataScansRequest],
+                    ~.ListDataScansResponse]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'list_data_scans' not in self._stubs:
+            self._stubs['list_data_scans'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataScanService/ListDataScans',
+                request_serializer=datascans.ListDataScansRequest.serialize,
+                response_deserializer=datascans.ListDataScansResponse.deserialize,
+            )
+        return self._stubs['list_data_scans']
+
+    @property
+    def run_data_scan(self) -> Callable[
+            [datascans.RunDataScanRequest],
+            datascans.RunDataScanResponse]:
+        r"""Return a callable for the run data scan method over gRPC.
+
+        Runs an on-demand execution of a DataScan
+
+        Returns:
+            Callable[[~.RunDataScanRequest],
+                    ~.RunDataScanResponse]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'run_data_scan' not in self._stubs:
+            self._stubs['run_data_scan'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataScanService/RunDataScan',
+                request_serializer=datascans.RunDataScanRequest.serialize,
+                response_deserializer=datascans.RunDataScanResponse.deserialize,
+            )
+        return self._stubs['run_data_scan']
+
+    @property
+    def get_data_scan_job(self) -> Callable[
+            [datascans.GetDataScanJobRequest],
+            datascans.DataScanJob]:
+        r"""Return a callable for the get data scan job method over gRPC.
+
+        Gets a DataScanJob resource.
+
+        Returns:
+            Callable[[~.GetDataScanJobRequest],
+                    ~.DataScanJob]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'get_data_scan_job' not in self._stubs:
+            self._stubs['get_data_scan_job'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataScanService/GetDataScanJob',
+                request_serializer=datascans.GetDataScanJobRequest.serialize,
+                response_deserializer=datascans.DataScanJob.deserialize,
+            )
+        return self._stubs['get_data_scan_job']
+
+    @property
+    def list_data_scan_jobs(self) -> Callable[
+            [datascans.ListDataScanJobsRequest],
+            datascans.ListDataScanJobsResponse]:
+        r"""Return a callable for the list data scan jobs method over gRPC.
+
+        Lists DataScanJobs under the given DataScan.
+
+        Returns:
+            Callable[[~.ListDataScanJobsRequest],
+                    ~.ListDataScanJobsResponse]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'list_data_scan_jobs' not in self._stubs:
+            self._stubs['list_data_scan_jobs'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataScanService/ListDataScanJobs',
+                request_serializer=datascans.ListDataScanJobsRequest.serialize,
+                response_deserializer=datascans.ListDataScanJobsResponse.deserialize,
+            )
+        return self._stubs['list_data_scan_jobs']
+
+    @property
+    def generate_data_quality_rules(self) -> Callable[
+            [datascans.GenerateDataQualityRulesRequest],
+            datascans.GenerateDataQualityRulesResponse]:
+        r"""Return a callable for the generate data quality rules method over gRPC.
+
+        Generates recommended data quality rules based on the
+        results of a data profiling scan.
+
+        Use the recommendations to build rules for a data
+        quality scan.
+
+        Returns:
+            Callable[[~.GenerateDataQualityRulesRequest],
+                    ~.GenerateDataQualityRulesResponse]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'generate_data_quality_rules' not in self._stubs:
+            self._stubs['generate_data_quality_rules'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataScanService/GenerateDataQualityRules',
+                request_serializer=datascans.GenerateDataQualityRulesRequest.serialize,
+                response_deserializer=datascans.GenerateDataQualityRulesResponse.deserialize,
+            )
+        return self._stubs['generate_data_quality_rules']
+
+    def close(self):
+        self.grpc_channel.close()
+
+    @property
+    def delete_operation(
+        self,
+    ) -> Callable[[operations_pb2.DeleteOperationRequest], None]:
+        r"""Return a callable for the delete_operation method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "delete_operation" not in self._stubs:
+            self._stubs["delete_operation"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/DeleteOperation",
+                request_serializer=operations_pb2.DeleteOperationRequest.SerializeToString,
+                response_deserializer=None,
+            )
+        return self._stubs["delete_operation"]
+
+    @property
+    def cancel_operation(
+        self,
+    ) -> Callable[[operations_pb2.CancelOperationRequest], None]:
+        r"""Return a callable for the cancel_operation method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "cancel_operation" not in self._stubs:
+            self._stubs["cancel_operation"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/CancelOperation",
+                request_serializer=operations_pb2.CancelOperationRequest.SerializeToString,
+                response_deserializer=None,
+            )
+        return self._stubs["cancel_operation"]
+
+    @property
+    def get_operation(
+        self,
+    ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]:
+        r"""Return a callable for the get_operation method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "get_operation" not in self._stubs:
+            self._stubs["get_operation"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/GetOperation",
+                request_serializer=operations_pb2.GetOperationRequest.SerializeToString,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs["get_operation"]
+
+    @property
+    def list_operations(
+        self,
+    ) -> Callable[[operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse]:
+        r"""Return a callable for the list_operations method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "list_operations" not in self._stubs:
+            self._stubs["list_operations"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/ListOperations",
+                request_serializer=operations_pb2.ListOperationsRequest.SerializeToString,
+                response_deserializer=operations_pb2.ListOperationsResponse.FromString,
+            )
+        return self._stubs["list_operations"]
+
+    @property
+    def list_locations(
+        self,
+    ) -> Callable[[locations_pb2.ListLocationsRequest], locations_pb2.ListLocationsResponse]:
+        r"""Return a callable for the list locations method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "list_locations" not in self._stubs:
+            self._stubs["list_locations"] = self.grpc_channel.unary_unary(
+                "/google.cloud.location.Locations/ListLocations",
+                request_serializer=locations_pb2.ListLocationsRequest.SerializeToString,
+                response_deserializer=locations_pb2.ListLocationsResponse.FromString,
+            )
+        return self._stubs["list_locations"]
+
+    @property
+    def get_location(
+        self,
+    ) -> Callable[[locations_pb2.GetLocationRequest], locations_pb2.Location]:
+        r"""Return a callable for the list locations method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "get_location" not in self._stubs:
+            self._stubs["get_location"] = self.grpc_channel.unary_unary(
+                "/google.cloud.location.Locations/GetLocation",
+                request_serializer=locations_pb2.GetLocationRequest.SerializeToString,
+                response_deserializer=locations_pb2.Location.FromString,
+            )
+        return self._stubs["get_location"]
+
+    @property
+    def kind(self) -> str:
+        return "grpc"
+
+
+__all__ = (
+    'DataScanServiceGrpcTransport',
+)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_scan_service/transports/grpc_asyncio.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_scan_service/transports/grpc_asyncio.py
new file mode 100644
index 000000000000..d93e93a9d327
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_scan_service/transports/grpc_asyncio.py
@@ -0,0 +1,706 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+import inspect
+import warnings
+from typing import Awaitable, Callable, Dict, Optional, Sequence, Tuple, Union
+
+from google.api_core import gapic_v1
+from google.api_core import grpc_helpers_async
+from google.api_core import exceptions as core_exceptions
+from google.api_core import retry_async as retries
+from google.api_core import operations_v1
+from google.auth import credentials as ga_credentials   # type: ignore
+from google.auth.transport.grpc import SslCredentials  # type: ignore
+
+import grpc                        # type: ignore
+from grpc.experimental import aio  # type: ignore
+
+from google.cloud.dataplex_v1.types import datascans
+from google.cloud.location import locations_pb2 # type: ignore
+from google.iam.v1 import iam_policy_pb2  # type: ignore
+from google.iam.v1 import policy_pb2  # type: ignore
+from google.longrunning import operations_pb2 # type: ignore
+from .base import DataScanServiceTransport, DEFAULT_CLIENT_INFO
+from .grpc import DataScanServiceGrpcTransport
+
+
+class DataScanServiceGrpcAsyncIOTransport(DataScanServiceTransport):
+    """gRPC AsyncIO backend transport for DataScanService.
+
+    DataScanService manages DataScan resources which can be
+    configured to run various types of data scanning workload and
+    generate enriched metadata (e.g. Data Profile, Data Quality) for
+    the data source.
+
+    This class defines the same methods as the primary client, so the
+    primary client can load the underlying transport implementation
+    and call it.
+
+    It sends protocol buffers over the wire using gRPC (which is built on
+    top of HTTP/2); the ``grpcio`` package must be installed.
+    """
+
+    _grpc_channel: aio.Channel
+    _stubs: Dict[str, Callable] = {}
+
+    @classmethod
+    def create_channel(cls,
+                       host: str = 'dataplex.googleapis.com',
+                       credentials: Optional[ga_credentials.Credentials] = None,
+                       credentials_file: Optional[str] = None,
+                       scopes: Optional[Sequence[str]] = None,
+                       quota_project_id: Optional[str] = None,
+                       **kwargs) -> aio.Channel:
+        """Create and return a gRPC AsyncIO channel object.
+        Args:
+            host (Optional[str]): The host for the channel to use.
+            credentials (Optional[~.Credentials]): The
+                authorization credentials to attach to requests. These
+                credentials identify this application to the service. If
+                none are specified, the client will attempt to ascertain
+                the credentials from the environment.
+            credentials_file (Optional[str]): A file with credentials that can
+                be loaded with :func:`google.auth.load_credentials_from_file`.
+            scopes (Optional[Sequence[str]]): A optional list of scopes needed for this
+                service. These are only used when credentials are not specified and
+                are passed to :func:`google.auth.default`.
+            quota_project_id (Optional[str]): An optional project to use for billing
+                and quota.
+            kwargs (Optional[dict]): Keyword arguments, which are passed to the
+                channel creation.
+        Returns:
+            aio.Channel: A gRPC AsyncIO channel object.
+        """
+
+        return grpc_helpers_async.create_channel(
+            host,
+            credentials=credentials,
+            credentials_file=credentials_file,
+            quota_project_id=quota_project_id,
+            default_scopes=cls.AUTH_SCOPES,
+            scopes=scopes,
+            default_host=cls.DEFAULT_HOST,
+            **kwargs
+        )
+
+    def __init__(self, *,
+            host: str = 'dataplex.googleapis.com',
+            credentials: Optional[ga_credentials.Credentials] = None,
+            credentials_file: Optional[str] = None,
+            scopes: Optional[Sequence[str]] = None,
+            channel: Optional[Union[aio.Channel, Callable[..., aio.Channel]]] = None,
+            api_mtls_endpoint: Optional[str] = None,
+            client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
+            ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None,
+            client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
+            quota_project_id: Optional[str] = None,
+            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
+            always_use_jwt_access: Optional[bool] = False,
+            api_audience: Optional[str] = None,
+            ) -> None:
+        """Instantiate the transport.
+
+        Args:
+            host (Optional[str]):
+                 The hostname to connect to (default: 'dataplex.googleapis.com').
+            credentials (Optional[google.auth.credentials.Credentials]): The
+                authorization credentials to attach to requests. These
+                credentials identify the application to the service; if none
+                are specified, the client will attempt to ascertain the
+                credentials from the environment.
+                This argument is ignored if a ``channel`` instance is provided.
+            credentials_file (Optional[str]): A file with credentials that can
+                be loaded with :func:`google.auth.load_credentials_from_file`.
+                This argument is ignored if a ``channel`` instance is provided.
+            scopes (Optional[Sequence[str]]): A optional list of scopes needed for this
+                service. These are only used when credentials are not specified and
+                are passed to :func:`google.auth.default`.
+            channel (Optional[Union[aio.Channel, Callable[..., aio.Channel]]]):
+                A ``Channel`` instance through which to make calls, or a Callable
+                that constructs and returns one. If set to None, ``self.create_channel``
+                is used to create the channel. If a Callable is given, it will be called
+                with the same arguments as used in ``self.create_channel``.
+            api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint.
+                If provided, it overrides the ``host`` argument and tries to create
+                a mutual TLS channel with client SSL credentials from
+                ``client_cert_source`` or application default SSL credentials.
+            client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]):
+                Deprecated. A callback to provide client SSL certificate bytes and
+                private key bytes, both in PEM format. It is ignored if
+                ``api_mtls_endpoint`` is None.
+            ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials
+                for the grpc channel. It is ignored if a ``channel`` instance is provided.
+            client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]):
+                A callback to provide client certificate bytes and private key bytes,
+                both in PEM format. It is used to configure a mutual TLS channel. It is
+                ignored if a ``channel`` instance or ``ssl_channel_credentials`` is provided.
+            quota_project_id (Optional[str]): An optional project to use for billing
+                and quota.
+            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
+                The client info used to send a user-agent string along with
+                API requests. If ``None``, then default info will be used.
+                Generally, you only need to set this if you're developing
+                your own client library.
+            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
+                be used for service account credentials.
+
+        Raises:
+            google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport
+              creation failed for any reason.
+          google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials``
+              and ``credentials_file`` are passed.
+        """
+        self._grpc_channel = None
+        self._ssl_channel_credentials = ssl_channel_credentials
+        self._stubs: Dict[str, Callable] = {}
+        self._operations_client: Optional[operations_v1.OperationsAsyncClient] = None
+
+        if api_mtls_endpoint:
+            warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning)
+        if client_cert_source:
+            warnings.warn("client_cert_source is deprecated", DeprecationWarning)
+
+        if isinstance(channel, aio.Channel):
+            # Ignore credentials if a channel was passed.
+            credentials = None
+            self._ignore_credentials = True
+            # If a channel was explicitly provided, set it.
+            self._grpc_channel = channel
+            self._ssl_channel_credentials = None
+        else:
+            if api_mtls_endpoint:
+                host = api_mtls_endpoint
+
+                # Create SSL credentials with client_cert_source or application
+                # default SSL credentials.
+                if client_cert_source:
+                    cert, key = client_cert_source()
+                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
+                        certificate_chain=cert, private_key=key
+                    )
+                else:
+                    self._ssl_channel_credentials = SslCredentials().ssl_credentials
+
+            else:
+                if client_cert_source_for_mtls and not ssl_channel_credentials:
+                    cert, key = client_cert_source_for_mtls()
+                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
+                        certificate_chain=cert, private_key=key
+                    )
+
+        # The base transport sets the host, credentials and scopes
+        super().__init__(
+            host=host,
+            credentials=credentials,
+            credentials_file=credentials_file,
+            scopes=scopes,
+            quota_project_id=quota_project_id,
+            client_info=client_info,
+            always_use_jwt_access=always_use_jwt_access,
+            api_audience=api_audience,
+        )
+
+        if not self._grpc_channel:
+            # initialize with the provided callable or the default channel
+            channel_init = channel or type(self).create_channel
+            self._grpc_channel = channel_init(
+                self._host,
+                # use the credentials which are saved
+                credentials=self._credentials,
+                # Set ``credentials_file`` to ``None`` here as
+                # the credentials that we saved earlier should be used.
+                credentials_file=None,
+                scopes=self._scopes,
+                ssl_credentials=self._ssl_channel_credentials,
+                quota_project_id=quota_project_id,
+                options=[
+                    ("grpc.max_send_message_length", -1),
+                    ("grpc.max_receive_message_length", -1),
+                ],
+            )
+
+        # Wrap messages. This must be done after self._grpc_channel exists
+        self._wrap_with_kind = "kind" in inspect.signature(gapic_v1.method_async.wrap_method).parameters
+        self._prep_wrapped_messages(client_info)
+
+    @property
+    def grpc_channel(self) -> aio.Channel:
+        """Create the channel designed to connect to this service.
+
+        This property caches on the instance; repeated calls return
+        the same channel.
+        """
+        # Return the channel from cache.
+        return self._grpc_channel
+
+    @property
+    def operations_client(self) -> operations_v1.OperationsAsyncClient:
+        """Create the client designed to process long-running operations.
+
+        This property caches on the instance; repeated calls return the same
+        client.
+        """
+        # Quick check: Only create a new client if we do not already have one.
+        if self._operations_client is None:
+            self._operations_client = operations_v1.OperationsAsyncClient(
+                self.grpc_channel
+            )
+
+        # Return the client from cache.
+        return self._operations_client
+
+    @property
+    def create_data_scan(self) -> Callable[
+            [datascans.CreateDataScanRequest],
+            Awaitable[operations_pb2.Operation]]:
+        r"""Return a callable for the create data scan method over gRPC.
+
+        Creates a DataScan resource.
+
+        Returns:
+            Callable[[~.CreateDataScanRequest],
+                    Awaitable[~.Operation]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'create_data_scan' not in self._stubs:
+            self._stubs['create_data_scan'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataScanService/CreateDataScan',
+                request_serializer=datascans.CreateDataScanRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['create_data_scan']
+
+    @property
+    def update_data_scan(self) -> Callable[
+            [datascans.UpdateDataScanRequest],
+            Awaitable[operations_pb2.Operation]]:
+        r"""Return a callable for the update data scan method over gRPC.
+
+        Updates a DataScan resource.
+
+        Returns:
+            Callable[[~.UpdateDataScanRequest],
+                    Awaitable[~.Operation]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'update_data_scan' not in self._stubs:
+            self._stubs['update_data_scan'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataScanService/UpdateDataScan',
+                request_serializer=datascans.UpdateDataScanRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['update_data_scan']
+
+    @property
+    def delete_data_scan(self) -> Callable[
+            [datascans.DeleteDataScanRequest],
+            Awaitable[operations_pb2.Operation]]:
+        r"""Return a callable for the delete data scan method over gRPC.
+
+        Deletes a DataScan resource.
+
+        Returns:
+            Callable[[~.DeleteDataScanRequest],
+                    Awaitable[~.Operation]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'delete_data_scan' not in self._stubs:
+            self._stubs['delete_data_scan'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataScanService/DeleteDataScan',
+                request_serializer=datascans.DeleteDataScanRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['delete_data_scan']
+
+    @property
+    def get_data_scan(self) -> Callable[
+            [datascans.GetDataScanRequest],
+            Awaitable[datascans.DataScan]]:
+        r"""Return a callable for the get data scan method over gRPC.
+
+        Gets a DataScan resource.
+
+        Returns:
+            Callable[[~.GetDataScanRequest],
+                    Awaitable[~.DataScan]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'get_data_scan' not in self._stubs:
+            self._stubs['get_data_scan'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataScanService/GetDataScan',
+                request_serializer=datascans.GetDataScanRequest.serialize,
+                response_deserializer=datascans.DataScan.deserialize,
+            )
+        return self._stubs['get_data_scan']
+
+    @property
+    def list_data_scans(self) -> Callable[
+            [datascans.ListDataScansRequest],
+            Awaitable[datascans.ListDataScansResponse]]:
+        r"""Return a callable for the list data scans method over gRPC.
+
+        Lists DataScans.
+
+        Returns:
+            Callable[[~.ListDataScansRequest],
+                    Awaitable[~.ListDataScansResponse]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'list_data_scans' not in self._stubs:
+            self._stubs['list_data_scans'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataScanService/ListDataScans',
+                request_serializer=datascans.ListDataScansRequest.serialize,
+                response_deserializer=datascans.ListDataScansResponse.deserialize,
+            )
+        return self._stubs['list_data_scans']
+
+    @property
+    def run_data_scan(self) -> Callable[
+            [datascans.RunDataScanRequest],
+            Awaitable[datascans.RunDataScanResponse]]:
+        r"""Return a callable for the run data scan method over gRPC.
+
+        Runs an on-demand execution of a DataScan
+
+        Returns:
+            Callable[[~.RunDataScanRequest],
+                    Awaitable[~.RunDataScanResponse]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'run_data_scan' not in self._stubs:
+            self._stubs['run_data_scan'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataScanService/RunDataScan',
+                request_serializer=datascans.RunDataScanRequest.serialize,
+                response_deserializer=datascans.RunDataScanResponse.deserialize,
+            )
+        return self._stubs['run_data_scan']
+
+    @property
+    def get_data_scan_job(self) -> Callable[
+            [datascans.GetDataScanJobRequest],
+            Awaitable[datascans.DataScanJob]]:
+        r"""Return a callable for the get data scan job method over gRPC.
+
+        Gets a DataScanJob resource.
+
+        Returns:
+            Callable[[~.GetDataScanJobRequest],
+                    Awaitable[~.DataScanJob]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'get_data_scan_job' not in self._stubs:
+            self._stubs['get_data_scan_job'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataScanService/GetDataScanJob',
+                request_serializer=datascans.GetDataScanJobRequest.serialize,
+                response_deserializer=datascans.DataScanJob.deserialize,
+            )
+        return self._stubs['get_data_scan_job']
+
+    @property
+    def list_data_scan_jobs(self) -> Callable[
+            [datascans.ListDataScanJobsRequest],
+            Awaitable[datascans.ListDataScanJobsResponse]]:
+        r"""Return a callable for the list data scan jobs method over gRPC.
+
+        Lists DataScanJobs under the given DataScan.
+
+        Returns:
+            Callable[[~.ListDataScanJobsRequest],
+                    Awaitable[~.ListDataScanJobsResponse]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'list_data_scan_jobs' not in self._stubs:
+            self._stubs['list_data_scan_jobs'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataScanService/ListDataScanJobs',
+                request_serializer=datascans.ListDataScanJobsRequest.serialize,
+                response_deserializer=datascans.ListDataScanJobsResponse.deserialize,
+            )
+        return self._stubs['list_data_scan_jobs']
+
+    @property
+    def generate_data_quality_rules(self) -> Callable[
+            [datascans.GenerateDataQualityRulesRequest],
+            Awaitable[datascans.GenerateDataQualityRulesResponse]]:
+        r"""Return a callable for the generate data quality rules method over gRPC.
+
+        Generates recommended data quality rules based on the
+        results of a data profiling scan.
+
+        Use the recommendations to build rules for a data
+        quality scan.
+
+        Returns:
+            Callable[[~.GenerateDataQualityRulesRequest],
+                    Awaitable[~.GenerateDataQualityRulesResponse]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'generate_data_quality_rules' not in self._stubs:
+            self._stubs['generate_data_quality_rules'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataScanService/GenerateDataQualityRules',
+                request_serializer=datascans.GenerateDataQualityRulesRequest.serialize,
+                response_deserializer=datascans.GenerateDataQualityRulesResponse.deserialize,
+            )
+        return self._stubs['generate_data_quality_rules']
+
+    def _prep_wrapped_messages(self, client_info):
+        """ Precompute the wrapped methods, overriding the base class method to use async wrappers."""
+        self._wrapped_methods = {
+            self.create_data_scan: self._wrap_method(
+                self.create_data_scan,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.update_data_scan: self._wrap_method(
+                self.update_data_scan,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.delete_data_scan: self._wrap_method(
+                self.delete_data_scan,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.get_data_scan: self._wrap_method(
+                self.get_data_scan,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.list_data_scans: self._wrap_method(
+                self.list_data_scans,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.run_data_scan: self._wrap_method(
+                self.run_data_scan,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.get_data_scan_job: self._wrap_method(
+                self.get_data_scan_job,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.list_data_scan_jobs: self._wrap_method(
+                self.list_data_scan_jobs,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.generate_data_quality_rules: self._wrap_method(
+                self.generate_data_quality_rules,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.get_location: self._wrap_method(
+                self.get_location,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.list_locations: self._wrap_method(
+                self.list_locations,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.cancel_operation: self._wrap_method(
+                self.cancel_operation,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.delete_operation: self._wrap_method(
+                self.delete_operation,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.get_operation: self._wrap_method(
+                self.get_operation,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.list_operations: self._wrap_method(
+                self.list_operations,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+        }
+
+    def _wrap_method(self, func, *args, **kwargs):
+        if self._wrap_with_kind:  # pragma: NO COVER
+            kwargs["kind"] = self.kind
+        return gapic_v1.method_async.wrap_method(func, *args, **kwargs)
+
+    def close(self):
+        return self.grpc_channel.close()
+
+    @property
+    def kind(self) -> str:
+        return "grpc_asyncio"
+
+    @property
+    def delete_operation(
+        self,
+    ) -> Callable[[operations_pb2.DeleteOperationRequest], None]:
+        r"""Return a callable for the delete_operation method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "delete_operation" not in self._stubs:
+            self._stubs["delete_operation"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/DeleteOperation",
+                request_serializer=operations_pb2.DeleteOperationRequest.SerializeToString,
+                response_deserializer=None,
+            )
+        return self._stubs["delete_operation"]
+
+    @property
+    def cancel_operation(
+        self,
+    ) -> Callable[[operations_pb2.CancelOperationRequest], None]:
+        r"""Return a callable for the cancel_operation method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "cancel_operation" not in self._stubs:
+            self._stubs["cancel_operation"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/CancelOperation",
+                request_serializer=operations_pb2.CancelOperationRequest.SerializeToString,
+                response_deserializer=None,
+            )
+        return self._stubs["cancel_operation"]
+
+    @property
+    def get_operation(
+        self,
+    ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]:
+        r"""Return a callable for the get_operation method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "get_operation" not in self._stubs:
+            self._stubs["get_operation"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/GetOperation",
+                request_serializer=operations_pb2.GetOperationRequest.SerializeToString,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs["get_operation"]
+
+    @property
+    def list_operations(
+        self,
+    ) -> Callable[[operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse]:
+        r"""Return a callable for the list_operations method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "list_operations" not in self._stubs:
+            self._stubs["list_operations"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/ListOperations",
+                request_serializer=operations_pb2.ListOperationsRequest.SerializeToString,
+                response_deserializer=operations_pb2.ListOperationsResponse.FromString,
+            )
+        return self._stubs["list_operations"]
+
+    @property
+    def list_locations(
+        self,
+    ) -> Callable[[locations_pb2.ListLocationsRequest], locations_pb2.ListLocationsResponse]:
+        r"""Return a callable for the list locations method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "list_locations" not in self._stubs:
+            self._stubs["list_locations"] = self.grpc_channel.unary_unary(
+                "/google.cloud.location.Locations/ListLocations",
+                request_serializer=locations_pb2.ListLocationsRequest.SerializeToString,
+                response_deserializer=locations_pb2.ListLocationsResponse.FromString,
+            )
+        return self._stubs["list_locations"]
+
+    @property
+    def get_location(
+        self,
+    ) -> Callable[[locations_pb2.GetLocationRequest], locations_pb2.Location]:
+        r"""Return a callable for the list locations method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "get_location" not in self._stubs:
+            self._stubs["get_location"] = self.grpc_channel.unary_unary(
+                "/google.cloud.location.Locations/GetLocation",
+                request_serializer=locations_pb2.GetLocationRequest.SerializeToString,
+                response_deserializer=locations_pb2.Location.FromString,
+            )
+        return self._stubs["get_location"]
+
+
+__all__ = (
+    'DataScanServiceGrpcAsyncIOTransport',
+)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_taxonomy_service/__init__.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_taxonomy_service/__init__.py
new file mode 100644
index 000000000000..d53da31dabe7
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_taxonomy_service/__init__.py
@@ -0,0 +1,22 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from .client import DataTaxonomyServiceClient
+from .async_client import DataTaxonomyServiceAsyncClient
+
+__all__ = (
+    'DataTaxonomyServiceClient',
+    'DataTaxonomyServiceAsyncClient',
+)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_taxonomy_service/async_client.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_taxonomy_service/async_client.py
new file mode 100644
index 000000000000..790d7cdf77dc
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_taxonomy_service/async_client.py
@@ -0,0 +1,2420 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from collections import OrderedDict
+import re
+from typing import Dict, Callable, Mapping, MutableMapping, MutableSequence, Optional, Sequence, Tuple, Type, Union
+
+from google.cloud.dataplex_v1 import gapic_version as package_version
+
+from google.api_core.client_options import ClientOptions
+from google.api_core import exceptions as core_exceptions
+from google.api_core import gapic_v1
+from google.api_core import retry_async as retries
+from google.auth import credentials as ga_credentials   # type: ignore
+from google.oauth2 import service_account              # type: ignore
+
+
+try:
+    OptionalRetry = Union[retries.AsyncRetry, gapic_v1.method._MethodDefault, None]
+except AttributeError:  # pragma: NO COVER
+    OptionalRetry = Union[retries.AsyncRetry, object, None]  # type: ignore
+
+from google.api_core import operation  # type: ignore
+from google.api_core import operation_async  # type: ignore
+from google.cloud.dataplex_v1.services.data_taxonomy_service import pagers
+from google.cloud.dataplex_v1.types import data_taxonomy
+from google.cloud.dataplex_v1.types import data_taxonomy as gcd_data_taxonomy
+from google.cloud.dataplex_v1.types import security
+from google.cloud.dataplex_v1.types import service
+from google.cloud.location import locations_pb2 # type: ignore
+from google.iam.v1 import iam_policy_pb2  # type: ignore
+from google.iam.v1 import policy_pb2  # type: ignore
+from google.longrunning import operations_pb2 # type: ignore
+from google.protobuf import empty_pb2  # type: ignore
+from google.protobuf import field_mask_pb2  # type: ignore
+from google.protobuf import timestamp_pb2  # type: ignore
+from .transports.base import DataTaxonomyServiceTransport, DEFAULT_CLIENT_INFO
+from .transports.grpc_asyncio import DataTaxonomyServiceGrpcAsyncIOTransport
+from .client import DataTaxonomyServiceClient
+
+
+class DataTaxonomyServiceAsyncClient:
+    """DataTaxonomyService enables attribute-based governance. The
+    resources currently offered include DataTaxonomy and
+    DataAttribute.
+    """
+
+    _client: DataTaxonomyServiceClient
+
+    # Copy defaults from the synchronous client for use here.
+    # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead.
+    DEFAULT_ENDPOINT = DataTaxonomyServiceClient.DEFAULT_ENDPOINT
+    DEFAULT_MTLS_ENDPOINT = DataTaxonomyServiceClient.DEFAULT_MTLS_ENDPOINT
+    _DEFAULT_ENDPOINT_TEMPLATE = DataTaxonomyServiceClient._DEFAULT_ENDPOINT_TEMPLATE
+    _DEFAULT_UNIVERSE = DataTaxonomyServiceClient._DEFAULT_UNIVERSE
+
+    data_attribute_path = staticmethod(DataTaxonomyServiceClient.data_attribute_path)
+    parse_data_attribute_path = staticmethod(DataTaxonomyServiceClient.parse_data_attribute_path)
+    data_attribute_binding_path = staticmethod(DataTaxonomyServiceClient.data_attribute_binding_path)
+    parse_data_attribute_binding_path = staticmethod(DataTaxonomyServiceClient.parse_data_attribute_binding_path)
+    data_taxonomy_path = staticmethod(DataTaxonomyServiceClient.data_taxonomy_path)
+    parse_data_taxonomy_path = staticmethod(DataTaxonomyServiceClient.parse_data_taxonomy_path)
+    common_billing_account_path = staticmethod(DataTaxonomyServiceClient.common_billing_account_path)
+    parse_common_billing_account_path = staticmethod(DataTaxonomyServiceClient.parse_common_billing_account_path)
+    common_folder_path = staticmethod(DataTaxonomyServiceClient.common_folder_path)
+    parse_common_folder_path = staticmethod(DataTaxonomyServiceClient.parse_common_folder_path)
+    common_organization_path = staticmethod(DataTaxonomyServiceClient.common_organization_path)
+    parse_common_organization_path = staticmethod(DataTaxonomyServiceClient.parse_common_organization_path)
+    common_project_path = staticmethod(DataTaxonomyServiceClient.common_project_path)
+    parse_common_project_path = staticmethod(DataTaxonomyServiceClient.parse_common_project_path)
+    common_location_path = staticmethod(DataTaxonomyServiceClient.common_location_path)
+    parse_common_location_path = staticmethod(DataTaxonomyServiceClient.parse_common_location_path)
+
+    @classmethod
+    def from_service_account_info(cls, info: dict, *args, **kwargs):
+        """Creates an instance of this client using the provided credentials
+            info.
+
+        Args:
+            info (dict): The service account private key info.
+            args: Additional arguments to pass to the constructor.
+            kwargs: Additional arguments to pass to the constructor.
+
+        Returns:
+            DataTaxonomyServiceAsyncClient: The constructed client.
+        """
+        return DataTaxonomyServiceClient.from_service_account_info.__func__(DataTaxonomyServiceAsyncClient, info, *args, **kwargs)  # type: ignore
+
+    @classmethod
+    def from_service_account_file(cls, filename: str, *args, **kwargs):
+        """Creates an instance of this client using the provided credentials
+            file.
+
+        Args:
+            filename (str): The path to the service account private key json
+                file.
+            args: Additional arguments to pass to the constructor.
+            kwargs: Additional arguments to pass to the constructor.
+
+        Returns:
+            DataTaxonomyServiceAsyncClient: The constructed client.
+        """
+        return DataTaxonomyServiceClient.from_service_account_file.__func__(DataTaxonomyServiceAsyncClient, filename, *args, **kwargs)  # type: ignore
+
+    from_service_account_json = from_service_account_file
+
+    @classmethod
+    def get_mtls_endpoint_and_cert_source(cls, client_options: Optional[ClientOptions] = None):
+        """Return the API endpoint and client cert source for mutual TLS.
+
+        The client cert source is determined in the following order:
+        (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the
+        client cert source is None.
+        (2) if `client_options.client_cert_source` is provided, use the provided one; if the
+        default client cert source exists, use the default one; otherwise the client cert
+        source is None.
+
+        The API endpoint is determined in the following order:
+        (1) if `client_options.api_endpoint` if provided, use the provided one.
+        (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the
+        default mTLS endpoint; if the environment variable is "never", use the default API
+        endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise
+        use the default API endpoint.
+
+        More details can be found at https://google.aip.dev/auth/4114.
+
+        Args:
+            client_options (google.api_core.client_options.ClientOptions): Custom options for the
+                client. Only the `api_endpoint` and `client_cert_source` properties may be used
+                in this method.
+
+        Returns:
+            Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the
+                client cert source to use.
+
+        Raises:
+            google.auth.exceptions.MutualTLSChannelError: If any errors happen.
+        """
+        return DataTaxonomyServiceClient.get_mtls_endpoint_and_cert_source(client_options)  # type: ignore
+
+    @property
+    def transport(self) -> DataTaxonomyServiceTransport:
+        """Returns the transport used by the client instance.
+
+        Returns:
+            DataTaxonomyServiceTransport: The transport used by the client instance.
+        """
+        return self._client.transport
+
+    @property
+    def api_endpoint(self):
+        """Return the API endpoint used by the client instance.
+
+        Returns:
+            str: The API endpoint used by the client instance.
+        """
+        return self._client._api_endpoint
+
+    @property
+    def universe_domain(self) -> str:
+        """Return the universe domain used by the client instance.
+
+        Returns:
+            str: The universe domain used
+                by the client instance.
+        """
+        return self._client._universe_domain
+
+    get_transport_class = DataTaxonomyServiceClient.get_transport_class
+
+    def __init__(self, *,
+            credentials: Optional[ga_credentials.Credentials] = None,
+            transport: Optional[Union[str, DataTaxonomyServiceTransport, Callable[..., DataTaxonomyServiceTransport]]] = "grpc_asyncio",
+            client_options: Optional[ClientOptions] = None,
+            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
+            ) -> None:
+        """Instantiates the data taxonomy service async client.
+
+        Args:
+            credentials (Optional[google.auth.credentials.Credentials]): The
+                authorization credentials to attach to requests. These
+                credentials identify the application to the service; if none
+                are specified, the client will attempt to ascertain the
+                credentials from the environment.
+            transport (Optional[Union[str,DataTaxonomyServiceTransport,Callable[..., DataTaxonomyServiceTransport]]]):
+                The transport to use, or a Callable that constructs and returns a new transport to use.
+                If a Callable is given, it will be called with the same set of initialization
+                arguments as used in the DataTaxonomyServiceTransport constructor.
+                If set to None, a transport is chosen automatically.
+            client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]):
+                Custom options for the client.
+
+                1. The ``api_endpoint`` property can be used to override the
+                default endpoint provided by the client when ``transport`` is
+                not explicitly provided. Only if this property is not set and
+                ``transport`` was not explicitly provided, the endpoint is
+                determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment
+                variable, which have one of the following values:
+                "always" (always use the default mTLS endpoint), "never" (always
+                use the default regular endpoint) and "auto" (auto-switch to the
+                default mTLS endpoint if client certificate is present; this is
+                the default value).
+
+                2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable
+                is "true", then the ``client_cert_source`` property can be used
+                to provide a client certificate for mTLS transport. If
+                not provided, the default SSL client certificate will be used if
+                present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not
+                set, no client certificate will be used.
+
+                3. The ``universe_domain`` property can be used to override the
+                default "googleapis.com" universe. Note that ``api_endpoint``
+                property still takes precedence; and ``universe_domain`` is
+                currently not supported for mTLS.
+
+            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
+                The client info used to send a user-agent string along with
+                API requests. If ``None``, then default info will be used.
+                Generally, you only need to set this if you're developing
+                your own client library.
+
+        Raises:
+            google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport
+                creation failed for any reason.
+        """
+        self._client = DataTaxonomyServiceClient(
+            credentials=credentials,
+            transport=transport,
+            client_options=client_options,
+            client_info=client_info,
+
+        )
+
+    async def create_data_taxonomy(self,
+            request: Optional[Union[gcd_data_taxonomy.CreateDataTaxonomyRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            data_taxonomy: Optional[gcd_data_taxonomy.DataTaxonomy] = None,
+            data_taxonomy_id: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation_async.AsyncOperation:
+        r"""Create a DataTaxonomy resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_create_data_taxonomy():
+                # Create a client
+                client = dataplex_v1.DataTaxonomyServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.CreateDataTaxonomyRequest(
+                    parent="parent_value",
+                    data_taxonomy_id="data_taxonomy_id_value",
+                )
+
+                # Make the request
+                operation = client.create_data_taxonomy(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = (await operation).result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.CreateDataTaxonomyRequest, dict]]):
+                The request object. Create DataTaxonomy request.
+            parent (:class:`str`):
+                Required. The resource name of the data taxonomy
+                location, of the form:
+                projects/{project_number}/locations/{location_id} where
+                ``location_id`` refers to a GCP region.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            data_taxonomy (:class:`google.cloud.dataplex_v1.types.DataTaxonomy`):
+                Required. DataTaxonomy resource.
+                This corresponds to the ``data_taxonomy`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            data_taxonomy_id (:class:`str`):
+                Required. DataTaxonomy identifier.
+
+                -  Must contain only lowercase letters, numbers and
+                   hyphens.
+                -  Must start with a letter.
+                -  Must be between 1-63 characters.
+                -  Must end with a number or a letter.
+                -  Must be unique within the Project.
+
+                This corresponds to the ``data_taxonomy_id`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation_async.AsyncOperation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.DataTaxonomy` DataTaxonomy represents a set of hierarchical DataAttributes resources,
+                   grouped with a common theme Eg:
+                   'SensitiveDataTaxonomy' can have attributes to manage
+                   PII data. It is defined at project level.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent, data_taxonomy, data_taxonomy_id])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, gcd_data_taxonomy.CreateDataTaxonomyRequest):
+            request = gcd_data_taxonomy.CreateDataTaxonomyRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if parent is not None:
+            request.parent = parent
+        if data_taxonomy is not None:
+            request.data_taxonomy = data_taxonomy
+        if data_taxonomy_id is not None:
+            request.data_taxonomy_id = data_taxonomy_id
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.create_data_taxonomy]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation_async.from_gapic(
+            response,
+            self._client._transport.operations_client,
+            gcd_data_taxonomy.DataTaxonomy,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def update_data_taxonomy(self,
+            request: Optional[Union[gcd_data_taxonomy.UpdateDataTaxonomyRequest, dict]] = None,
+            *,
+            data_taxonomy: Optional[gcd_data_taxonomy.DataTaxonomy] = None,
+            update_mask: Optional[field_mask_pb2.FieldMask] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation_async.AsyncOperation:
+        r"""Updates a DataTaxonomy resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_update_data_taxonomy():
+                # Create a client
+                client = dataplex_v1.DataTaxonomyServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.UpdateDataTaxonomyRequest(
+                )
+
+                # Make the request
+                operation = client.update_data_taxonomy(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = (await operation).result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.UpdateDataTaxonomyRequest, dict]]):
+                The request object. Update DataTaxonomy request.
+            data_taxonomy (:class:`google.cloud.dataplex_v1.types.DataTaxonomy`):
+                Required. Only fields specified in ``update_mask`` are
+                updated.
+
+                This corresponds to the ``data_taxonomy`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`):
+                Required. Mask of fields to update.
+                This corresponds to the ``update_mask`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation_async.AsyncOperation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.DataTaxonomy` DataTaxonomy represents a set of hierarchical DataAttributes resources,
+                   grouped with a common theme Eg:
+                   'SensitiveDataTaxonomy' can have attributes to manage
+                   PII data. It is defined at project level.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([data_taxonomy, update_mask])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, gcd_data_taxonomy.UpdateDataTaxonomyRequest):
+            request = gcd_data_taxonomy.UpdateDataTaxonomyRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if data_taxonomy is not None:
+            request.data_taxonomy = data_taxonomy
+        if update_mask is not None:
+            request.update_mask = update_mask
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.update_data_taxonomy]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("data_taxonomy.name", request.data_taxonomy.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation_async.from_gapic(
+            response,
+            self._client._transport.operations_client,
+            gcd_data_taxonomy.DataTaxonomy,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def delete_data_taxonomy(self,
+            request: Optional[Union[data_taxonomy.DeleteDataTaxonomyRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation_async.AsyncOperation:
+        r"""Deletes a DataTaxonomy resource. All attributes
+        within the DataTaxonomy must be deleted before the
+        DataTaxonomy can be deleted.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_delete_data_taxonomy():
+                # Create a client
+                client = dataplex_v1.DataTaxonomyServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.DeleteDataTaxonomyRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                operation = client.delete_data_taxonomy(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = (await operation).result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.DeleteDataTaxonomyRequest, dict]]):
+                The request object. Delete DataTaxonomy request.
+            name (:class:`str`):
+                Required. The resource name of the DataTaxonomy:
+                projects/{project_number}/locations/{location_id}/dataTaxonomies/{data_taxonomy_id}
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation_async.AsyncOperation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
+                   empty messages in your APIs. A typical example is to
+                   use it as the request or the response type of an API
+                   method. For instance:
+
+                      service Foo {
+                         rpc Bar(google.protobuf.Empty) returns
+                         (google.protobuf.Empty);
+
+                      }
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, data_taxonomy.DeleteDataTaxonomyRequest):
+            request = data_taxonomy.DeleteDataTaxonomyRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if name is not None:
+            request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.delete_data_taxonomy]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation_async.from_gapic(
+            response,
+            self._client._transport.operations_client,
+            empty_pb2.Empty,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def list_data_taxonomies(self,
+            request: Optional[Union[data_taxonomy.ListDataTaxonomiesRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> pagers.ListDataTaxonomiesAsyncPager:
+        r"""Lists DataTaxonomy resources in a project and
+        location.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_list_data_taxonomies():
+                # Create a client
+                client = dataplex_v1.DataTaxonomyServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.ListDataTaxonomiesRequest(
+                    parent="parent_value",
+                )
+
+                # Make the request
+                page_result = client.list_data_taxonomies(request=request)
+
+                # Handle the response
+                async for response in page_result:
+                    print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.ListDataTaxonomiesRequest, dict]]):
+                The request object. List DataTaxonomies request.
+            parent (:class:`str`):
+                Required. The resource name of the DataTaxonomy
+                location, of the form:
+                projects/{project_number}/locations/{location_id} where
+                ``location_id`` refers to a GCP region.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.services.data_taxonomy_service.pagers.ListDataTaxonomiesAsyncPager:
+                List DataTaxonomies response.
+
+                Iterating over this object will yield
+                results and resolve additional pages
+                automatically.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, data_taxonomy.ListDataTaxonomiesRequest):
+            request = data_taxonomy.ListDataTaxonomiesRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if parent is not None:
+            request.parent = parent
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.list_data_taxonomies]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # This method is paged; wrap the response in a pager, which provides
+        # an `__aiter__` convenience method.
+        response = pagers.ListDataTaxonomiesAsyncPager(
+            method=rpc,
+            request=request,
+            response=response,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def get_data_taxonomy(self,
+            request: Optional[Union[data_taxonomy.GetDataTaxonomyRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> data_taxonomy.DataTaxonomy:
+        r"""Retrieves a DataTaxonomy resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_get_data_taxonomy():
+                # Create a client
+                client = dataplex_v1.DataTaxonomyServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.GetDataTaxonomyRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                response = await client.get_data_taxonomy(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.GetDataTaxonomyRequest, dict]]):
+                The request object. Get DataTaxonomy request.
+            name (:class:`str`):
+                Required. The resource name of the DataTaxonomy:
+                projects/{project_number}/locations/{location_id}/dataTaxonomies/{data_taxonomy_id}
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.DataTaxonomy:
+                DataTaxonomy represents a set of
+                hierarchical DataAttributes resources,
+                grouped with a common theme Eg:
+                'SensitiveDataTaxonomy' can have
+                attributes to manage PII data. It is
+                defined at project level.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, data_taxonomy.GetDataTaxonomyRequest):
+            request = data_taxonomy.GetDataTaxonomyRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if name is not None:
+            request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.get_data_taxonomy]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def create_data_attribute_binding(self,
+            request: Optional[Union[data_taxonomy.CreateDataAttributeBindingRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            data_attribute_binding: Optional[data_taxonomy.DataAttributeBinding] = None,
+            data_attribute_binding_id: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation_async.AsyncOperation:
+        r"""Create a DataAttributeBinding resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_create_data_attribute_binding():
+                # Create a client
+                client = dataplex_v1.DataTaxonomyServiceAsyncClient()
+
+                # Initialize request argument(s)
+                data_attribute_binding = dataplex_v1.DataAttributeBinding()
+                data_attribute_binding.resource = "resource_value"
+
+                request = dataplex_v1.CreateDataAttributeBindingRequest(
+                    parent="parent_value",
+                    data_attribute_binding_id="data_attribute_binding_id_value",
+                    data_attribute_binding=data_attribute_binding,
+                )
+
+                # Make the request
+                operation = client.create_data_attribute_binding(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = (await operation).result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.CreateDataAttributeBindingRequest, dict]]):
+                The request object. Create DataAttributeBinding request.
+            parent (:class:`str`):
+                Required. The resource name of the parent data taxonomy
+                projects/{project_number}/locations/{location_id}
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            data_attribute_binding (:class:`google.cloud.dataplex_v1.types.DataAttributeBinding`):
+                Required. DataAttributeBinding
+                resource.
+
+                This corresponds to the ``data_attribute_binding`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            data_attribute_binding_id (:class:`str`):
+                Required. DataAttributeBinding identifier.
+
+                -  Must contain only lowercase letters, numbers and
+                   hyphens.
+                -  Must start with a letter.
+                -  Must be between 1-63 characters.
+                -  Must end with a number or a letter.
+                -  Must be unique within the Location.
+
+                This corresponds to the ``data_attribute_binding_id`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation_async.AsyncOperation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.DataAttributeBinding` DataAttributeBinding represents binding of attributes to resources. Eg: Bind
+                   'CustomerInfo' entity with 'PII' attribute.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent, data_attribute_binding, data_attribute_binding_id])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, data_taxonomy.CreateDataAttributeBindingRequest):
+            request = data_taxonomy.CreateDataAttributeBindingRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if parent is not None:
+            request.parent = parent
+        if data_attribute_binding is not None:
+            request.data_attribute_binding = data_attribute_binding
+        if data_attribute_binding_id is not None:
+            request.data_attribute_binding_id = data_attribute_binding_id
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.create_data_attribute_binding]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation_async.from_gapic(
+            response,
+            self._client._transport.operations_client,
+            data_taxonomy.DataAttributeBinding,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def update_data_attribute_binding(self,
+            request: Optional[Union[data_taxonomy.UpdateDataAttributeBindingRequest, dict]] = None,
+            *,
+            data_attribute_binding: Optional[data_taxonomy.DataAttributeBinding] = None,
+            update_mask: Optional[field_mask_pb2.FieldMask] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation_async.AsyncOperation:
+        r"""Updates a DataAttributeBinding resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_update_data_attribute_binding():
+                # Create a client
+                client = dataplex_v1.DataTaxonomyServiceAsyncClient()
+
+                # Initialize request argument(s)
+                data_attribute_binding = dataplex_v1.DataAttributeBinding()
+                data_attribute_binding.resource = "resource_value"
+
+                request = dataplex_v1.UpdateDataAttributeBindingRequest(
+                    data_attribute_binding=data_attribute_binding,
+                )
+
+                # Make the request
+                operation = client.update_data_attribute_binding(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = (await operation).result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.UpdateDataAttributeBindingRequest, dict]]):
+                The request object. Update DataAttributeBinding request.
+            data_attribute_binding (:class:`google.cloud.dataplex_v1.types.DataAttributeBinding`):
+                Required. Only fields specified in ``update_mask`` are
+                updated.
+
+                This corresponds to the ``data_attribute_binding`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`):
+                Required. Mask of fields to update.
+                This corresponds to the ``update_mask`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation_async.AsyncOperation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.DataAttributeBinding` DataAttributeBinding represents binding of attributes to resources. Eg: Bind
+                   'CustomerInfo' entity with 'PII' attribute.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([data_attribute_binding, update_mask])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, data_taxonomy.UpdateDataAttributeBindingRequest):
+            request = data_taxonomy.UpdateDataAttributeBindingRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if data_attribute_binding is not None:
+            request.data_attribute_binding = data_attribute_binding
+        if update_mask is not None:
+            request.update_mask = update_mask
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.update_data_attribute_binding]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("data_attribute_binding.name", request.data_attribute_binding.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation_async.from_gapic(
+            response,
+            self._client._transport.operations_client,
+            data_taxonomy.DataAttributeBinding,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def delete_data_attribute_binding(self,
+            request: Optional[Union[data_taxonomy.DeleteDataAttributeBindingRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation_async.AsyncOperation:
+        r"""Deletes a DataAttributeBinding resource. All
+        attributes within the DataAttributeBinding must be
+        deleted before the DataAttributeBinding can be deleted.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_delete_data_attribute_binding():
+                # Create a client
+                client = dataplex_v1.DataTaxonomyServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.DeleteDataAttributeBindingRequest(
+                    name="name_value",
+                    etag="etag_value",
+                )
+
+                # Make the request
+                operation = client.delete_data_attribute_binding(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = (await operation).result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.DeleteDataAttributeBindingRequest, dict]]):
+                The request object. Delete DataAttributeBinding request.
+            name (:class:`str`):
+                Required. The resource name of the DataAttributeBinding:
+                projects/{project_number}/locations/{location_id}/dataAttributeBindings/{data_attribute_binding_id}
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation_async.AsyncOperation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
+                   empty messages in your APIs. A typical example is to
+                   use it as the request or the response type of an API
+                   method. For instance:
+
+                      service Foo {
+                         rpc Bar(google.protobuf.Empty) returns
+                         (google.protobuf.Empty);
+
+                      }
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, data_taxonomy.DeleteDataAttributeBindingRequest):
+            request = data_taxonomy.DeleteDataAttributeBindingRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if name is not None:
+            request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.delete_data_attribute_binding]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation_async.from_gapic(
+            response,
+            self._client._transport.operations_client,
+            empty_pb2.Empty,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def list_data_attribute_bindings(self,
+            request: Optional[Union[data_taxonomy.ListDataAttributeBindingsRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> pagers.ListDataAttributeBindingsAsyncPager:
+        r"""Lists DataAttributeBinding resources in a project and
+        location.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_list_data_attribute_bindings():
+                # Create a client
+                client = dataplex_v1.DataTaxonomyServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.ListDataAttributeBindingsRequest(
+                    parent="parent_value",
+                )
+
+                # Make the request
+                page_result = client.list_data_attribute_bindings(request=request)
+
+                # Handle the response
+                async for response in page_result:
+                    print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.ListDataAttributeBindingsRequest, dict]]):
+                The request object. List DataAttributeBindings request.
+            parent (:class:`str`):
+                Required. The resource name of the Location:
+                projects/{project_number}/locations/{location_id}
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.services.data_taxonomy_service.pagers.ListDataAttributeBindingsAsyncPager:
+                List DataAttributeBindings response.
+
+                Iterating over this object will yield
+                results and resolve additional pages
+                automatically.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, data_taxonomy.ListDataAttributeBindingsRequest):
+            request = data_taxonomy.ListDataAttributeBindingsRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if parent is not None:
+            request.parent = parent
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.list_data_attribute_bindings]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # This method is paged; wrap the response in a pager, which provides
+        # an `__aiter__` convenience method.
+        response = pagers.ListDataAttributeBindingsAsyncPager(
+            method=rpc,
+            request=request,
+            response=response,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def get_data_attribute_binding(self,
+            request: Optional[Union[data_taxonomy.GetDataAttributeBindingRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> data_taxonomy.DataAttributeBinding:
+        r"""Retrieves a DataAttributeBinding resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_get_data_attribute_binding():
+                # Create a client
+                client = dataplex_v1.DataTaxonomyServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.GetDataAttributeBindingRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                response = await client.get_data_attribute_binding(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.GetDataAttributeBindingRequest, dict]]):
+                The request object. Get DataAttributeBinding request.
+            name (:class:`str`):
+                Required. The resource name of the DataAttributeBinding:
+                projects/{project_number}/locations/{location_id}/dataAttributeBindings/{data_attribute_binding_id}
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.DataAttributeBinding:
+                DataAttributeBinding represents
+                binding of attributes to resources. Eg:
+                Bind 'CustomerInfo' entity with 'PII'
+                attribute.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, data_taxonomy.GetDataAttributeBindingRequest):
+            request = data_taxonomy.GetDataAttributeBindingRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if name is not None:
+            request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.get_data_attribute_binding]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def create_data_attribute(self,
+            request: Optional[Union[data_taxonomy.CreateDataAttributeRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            data_attribute: Optional[data_taxonomy.DataAttribute] = None,
+            data_attribute_id: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation_async.AsyncOperation:
+        r"""Create a DataAttribute resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_create_data_attribute():
+                # Create a client
+                client = dataplex_v1.DataTaxonomyServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.CreateDataAttributeRequest(
+                    parent="parent_value",
+                    data_attribute_id="data_attribute_id_value",
+                )
+
+                # Make the request
+                operation = client.create_data_attribute(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = (await operation).result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.CreateDataAttributeRequest, dict]]):
+                The request object. Create DataAttribute request.
+            parent (:class:`str`):
+                Required. The resource name of the parent data taxonomy
+                projects/{project_number}/locations/{location_id}/dataTaxonomies/{data_taxonomy_id}
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            data_attribute (:class:`google.cloud.dataplex_v1.types.DataAttribute`):
+                Required. DataAttribute resource.
+                This corresponds to the ``data_attribute`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            data_attribute_id (:class:`str`):
+                Required. DataAttribute identifier.
+
+                -  Must contain only lowercase letters, numbers and
+                   hyphens.
+                -  Must start with a letter.
+                -  Must be between 1-63 characters.
+                -  Must end with a number or a letter.
+                -  Must be unique within the DataTaxonomy.
+
+                This corresponds to the ``data_attribute_id`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation_async.AsyncOperation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.DataAttribute` Denotes one dataAttribute in a dataTaxonomy, for example, PII.
+                   DataAttribute resources can be defined in a
+                   hierarchy. A single dataAttribute resource can
+                   contain specs of multiple types
+
+                   :literal:`\` PII   - ResourceAccessSpec :                 - readers :foo@bar.com   - DataAccessSpec :                 - readers :bar@foo.com`\ \`
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent, data_attribute, data_attribute_id])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, data_taxonomy.CreateDataAttributeRequest):
+            request = data_taxonomy.CreateDataAttributeRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if parent is not None:
+            request.parent = parent
+        if data_attribute is not None:
+            request.data_attribute = data_attribute
+        if data_attribute_id is not None:
+            request.data_attribute_id = data_attribute_id
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.create_data_attribute]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation_async.from_gapic(
+            response,
+            self._client._transport.operations_client,
+            data_taxonomy.DataAttribute,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def update_data_attribute(self,
+            request: Optional[Union[data_taxonomy.UpdateDataAttributeRequest, dict]] = None,
+            *,
+            data_attribute: Optional[data_taxonomy.DataAttribute] = None,
+            update_mask: Optional[field_mask_pb2.FieldMask] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation_async.AsyncOperation:
+        r"""Updates a DataAttribute resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_update_data_attribute():
+                # Create a client
+                client = dataplex_v1.DataTaxonomyServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.UpdateDataAttributeRequest(
+                )
+
+                # Make the request
+                operation = client.update_data_attribute(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = (await operation).result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.UpdateDataAttributeRequest, dict]]):
+                The request object. Update DataAttribute request.
+            data_attribute (:class:`google.cloud.dataplex_v1.types.DataAttribute`):
+                Required. Only fields specified in ``update_mask`` are
+                updated.
+
+                This corresponds to the ``data_attribute`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`):
+                Required. Mask of fields to update.
+                This corresponds to the ``update_mask`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation_async.AsyncOperation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.DataAttribute` Denotes one dataAttribute in a dataTaxonomy, for example, PII.
+                   DataAttribute resources can be defined in a
+                   hierarchy. A single dataAttribute resource can
+                   contain specs of multiple types
+
+                   :literal:`\` PII   - ResourceAccessSpec :                 - readers :foo@bar.com   - DataAccessSpec :                 - readers :bar@foo.com`\ \`
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([data_attribute, update_mask])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, data_taxonomy.UpdateDataAttributeRequest):
+            request = data_taxonomy.UpdateDataAttributeRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if data_attribute is not None:
+            request.data_attribute = data_attribute
+        if update_mask is not None:
+            request.update_mask = update_mask
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.update_data_attribute]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("data_attribute.name", request.data_attribute.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation_async.from_gapic(
+            response,
+            self._client._transport.operations_client,
+            data_taxonomy.DataAttribute,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def delete_data_attribute(self,
+            request: Optional[Union[data_taxonomy.DeleteDataAttributeRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation_async.AsyncOperation:
+        r"""Deletes a Data Attribute resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_delete_data_attribute():
+                # Create a client
+                client = dataplex_v1.DataTaxonomyServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.DeleteDataAttributeRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                operation = client.delete_data_attribute(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = (await operation).result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.DeleteDataAttributeRequest, dict]]):
+                The request object. Delete DataAttribute request.
+            name (:class:`str`):
+                Required. The resource name of the DataAttribute:
+                projects/{project_number}/locations/{location_id}/dataTaxonomies/{dataTaxonomy}/attributes/{data_attribute_id}
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation_async.AsyncOperation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
+                   empty messages in your APIs. A typical example is to
+                   use it as the request or the response type of an API
+                   method. For instance:
+
+                      service Foo {
+                         rpc Bar(google.protobuf.Empty) returns
+                         (google.protobuf.Empty);
+
+                      }
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, data_taxonomy.DeleteDataAttributeRequest):
+            request = data_taxonomy.DeleteDataAttributeRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if name is not None:
+            request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.delete_data_attribute]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation_async.from_gapic(
+            response,
+            self._client._transport.operations_client,
+            empty_pb2.Empty,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def list_data_attributes(self,
+            request: Optional[Union[data_taxonomy.ListDataAttributesRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> pagers.ListDataAttributesAsyncPager:
+        r"""Lists Data Attribute resources in a DataTaxonomy.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_list_data_attributes():
+                # Create a client
+                client = dataplex_v1.DataTaxonomyServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.ListDataAttributesRequest(
+                    parent="parent_value",
+                )
+
+                # Make the request
+                page_result = client.list_data_attributes(request=request)
+
+                # Handle the response
+                async for response in page_result:
+                    print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.ListDataAttributesRequest, dict]]):
+                The request object. List DataAttributes request.
+            parent (:class:`str`):
+                Required. The resource name of the DataTaxonomy:
+                projects/{project_number}/locations/{location_id}/dataTaxonomies/{data_taxonomy_id}
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.services.data_taxonomy_service.pagers.ListDataAttributesAsyncPager:
+                List DataAttributes response.
+
+                Iterating over this object will yield
+                results and resolve additional pages
+                automatically.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, data_taxonomy.ListDataAttributesRequest):
+            request = data_taxonomy.ListDataAttributesRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if parent is not None:
+            request.parent = parent
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.list_data_attributes]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # This method is paged; wrap the response in a pager, which provides
+        # an `__aiter__` convenience method.
+        response = pagers.ListDataAttributesAsyncPager(
+            method=rpc,
+            request=request,
+            response=response,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def get_data_attribute(self,
+            request: Optional[Union[data_taxonomy.GetDataAttributeRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> data_taxonomy.DataAttribute:
+        r"""Retrieves a Data Attribute resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_get_data_attribute():
+                # Create a client
+                client = dataplex_v1.DataTaxonomyServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.GetDataAttributeRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                response = await client.get_data_attribute(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.GetDataAttributeRequest, dict]]):
+                The request object. Get DataAttribute request.
+            name (:class:`str`):
+                Required. The resource name of the dataAttribute:
+                projects/{project_number}/locations/{location_id}/dataTaxonomies/{dataTaxonomy}/attributes/{data_attribute_id}
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.DataAttribute:
+                Denotes one dataAttribute in a dataTaxonomy, for example, PII.
+                   DataAttribute resources can be defined in a
+                   hierarchy. A single dataAttribute resource can
+                   contain specs of multiple types
+
+                   :literal:`\` PII   - ResourceAccessSpec :                 - readers :foo@bar.com   - DataAccessSpec :                 - readers :bar@foo.com`\ \`
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, data_taxonomy.GetDataAttributeRequest):
+            request = data_taxonomy.GetDataAttributeRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if name is not None:
+            request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.get_data_attribute]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def list_operations(
+        self,
+        request: Optional[operations_pb2.ListOperationsRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> operations_pb2.ListOperationsResponse:
+        r"""Lists operations that match the specified filter in the request.
+
+        Args:
+            request (:class:`~.operations_pb2.ListOperationsRequest`):
+                The request object. Request message for
+                `ListOperations` method.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.operations_pb2.ListOperationsResponse:
+                Response message for ``ListOperations`` method.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.ListOperationsRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self.transport._wrapped_methods[self._client._transport.list_operations]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request, retry=retry, timeout=timeout, metadata=metadata,)
+
+        # Done; return the response.
+        return response
+
+    async def get_operation(
+        self,
+        request: Optional[operations_pb2.GetOperationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> operations_pb2.Operation:
+        r"""Gets the latest state of a long-running operation.
+
+        Args:
+            request (:class:`~.operations_pb2.GetOperationRequest`):
+                The request object. Request message for
+                `GetOperation` method.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.operations_pb2.Operation:
+                An ``Operation`` object.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.GetOperationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self.transport._wrapped_methods[self._client._transport.get_operation]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request, retry=retry, timeout=timeout, metadata=metadata,)
+
+        # Done; return the response.
+        return response
+
+    async def delete_operation(
+        self,
+        request: Optional[operations_pb2.DeleteOperationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> None:
+        r"""Deletes a long-running operation.
+
+        This method indicates that the client is no longer interested
+        in the operation result. It does not cancel the operation.
+        If the server doesn't support this method, it returns
+        `google.rpc.Code.UNIMPLEMENTED`.
+
+        Args:
+            request (:class:`~.operations_pb2.DeleteOperationRequest`):
+                The request object. Request message for
+                `DeleteOperation` method.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            None
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.DeleteOperationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self.transport._wrapped_methods[self._client._transport.delete_operation]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        await rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
+
+    async def cancel_operation(
+        self,
+        request: Optional[operations_pb2.CancelOperationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> None:
+        r"""Starts asynchronous cancellation on a long-running operation.
+
+        The server makes a best effort to cancel the operation, but success
+        is not guaranteed.  If the server doesn't support this method, it returns
+        `google.rpc.Code.UNIMPLEMENTED`.
+
+        Args:
+            request (:class:`~.operations_pb2.CancelOperationRequest`):
+                The request object. Request message for
+                `CancelOperation` method.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            None
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.CancelOperationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self.transport._wrapped_methods[self._client._transport.cancel_operation]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        await rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
+
+    async def get_location(
+        self,
+        request: Optional[locations_pb2.GetLocationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> locations_pb2.Location:
+        r"""Gets information about a location.
+
+        Args:
+            request (:class:`~.location_pb2.GetLocationRequest`):
+                The request object. Request message for
+                `GetLocation` method.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
+                 if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.location_pb2.Location:
+                Location object.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = locations_pb2.GetLocationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self.transport._wrapped_methods[self._client._transport.get_location]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request, retry=retry, timeout=timeout, metadata=metadata,)
+
+        # Done; return the response.
+        return response
+
+    async def list_locations(
+        self,
+        request: Optional[locations_pb2.ListLocationsRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> locations_pb2.ListLocationsResponse:
+        r"""Lists information about the supported locations for this service.
+
+        Args:
+            request (:class:`~.location_pb2.ListLocationsRequest`):
+                The request object. Request message for
+                `ListLocations` method.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
+                 if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.location_pb2.ListLocationsResponse:
+                Response message for ``ListLocations`` method.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = locations_pb2.ListLocationsRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self.transport._wrapped_methods[self._client._transport.list_locations]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request, retry=retry, timeout=timeout, metadata=metadata,)
+
+        # Done; return the response.
+        return response
+
+    async def __aenter__(self) -> "DataTaxonomyServiceAsyncClient":
+        return self
+
+    async def __aexit__(self, exc_type, exc, tb):
+        await self.transport.close()
+
+DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(gapic_version=package_version.__version__)
+
+
+__all__ = (
+    "DataTaxonomyServiceAsyncClient",
+)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_taxonomy_service/client.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_taxonomy_service/client.py
new file mode 100644
index 000000000000..599bb5d7fd8f
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_taxonomy_service/client.py
@@ -0,0 +1,2746 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from collections import OrderedDict
+import os
+import re
+from typing import Dict, Callable, Mapping, MutableMapping, MutableSequence, Optional, Sequence, Tuple, Type, Union, cast
+import warnings
+
+from google.cloud.dataplex_v1 import gapic_version as package_version
+
+from google.api_core import client_options as client_options_lib
+from google.api_core import exceptions as core_exceptions
+from google.api_core import gapic_v1
+from google.api_core import retry as retries
+from google.auth import credentials as ga_credentials             # type: ignore
+from google.auth.transport import mtls                            # type: ignore
+from google.auth.transport.grpc import SslCredentials             # type: ignore
+from google.auth.exceptions import MutualTLSChannelError          # type: ignore
+from google.oauth2 import service_account                         # type: ignore
+
+try:
+    OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None]
+except AttributeError:  # pragma: NO COVER
+    OptionalRetry = Union[retries.Retry, object, None]  # type: ignore
+
+from google.api_core import operation  # type: ignore
+from google.api_core import operation_async  # type: ignore
+from google.cloud.dataplex_v1.services.data_taxonomy_service import pagers
+from google.cloud.dataplex_v1.types import data_taxonomy
+from google.cloud.dataplex_v1.types import data_taxonomy as gcd_data_taxonomy
+from google.cloud.dataplex_v1.types import security
+from google.cloud.dataplex_v1.types import service
+from google.cloud.location import locations_pb2 # type: ignore
+from google.iam.v1 import iam_policy_pb2  # type: ignore
+from google.iam.v1 import policy_pb2  # type: ignore
+from google.longrunning import operations_pb2 # type: ignore
+from google.protobuf import empty_pb2  # type: ignore
+from google.protobuf import field_mask_pb2  # type: ignore
+from google.protobuf import timestamp_pb2  # type: ignore
+from .transports.base import DataTaxonomyServiceTransport, DEFAULT_CLIENT_INFO
+from .transports.grpc import DataTaxonomyServiceGrpcTransport
+from .transports.grpc_asyncio import DataTaxonomyServiceGrpcAsyncIOTransport
+
+
+class DataTaxonomyServiceClientMeta(type):
+    """Metaclass for the DataTaxonomyService client.
+
+    This provides class-level methods for building and retrieving
+    support objects (e.g. transport) without polluting the client instance
+    objects.
+    """
+    _transport_registry = OrderedDict()  # type: Dict[str, Type[DataTaxonomyServiceTransport]]
+    _transport_registry["grpc"] = DataTaxonomyServiceGrpcTransport
+    _transport_registry["grpc_asyncio"] = DataTaxonomyServiceGrpcAsyncIOTransport
+
+    def get_transport_class(cls,
+            label: Optional[str] = None,
+        ) -> Type[DataTaxonomyServiceTransport]:
+        """Returns an appropriate transport class.
+
+        Args:
+            label: The name of the desired transport. If none is
+                provided, then the first transport in the registry is used.
+
+        Returns:
+            The transport class to use.
+        """
+        # If a specific transport is requested, return that one.
+        if label:
+            return cls._transport_registry[label]
+
+        # No transport is requested; return the default (that is, the first one
+        # in the dictionary).
+        return next(iter(cls._transport_registry.values()))
+
+
+class DataTaxonomyServiceClient(metaclass=DataTaxonomyServiceClientMeta):
+    """DataTaxonomyService enables attribute-based governance. The
+    resources currently offered include DataTaxonomy and
+    DataAttribute.
+    """
+
+    @staticmethod
+    def _get_default_mtls_endpoint(api_endpoint):
+        """Converts api endpoint to mTLS endpoint.
+
+        Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to
+        "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively.
+        Args:
+            api_endpoint (Optional[str]): the api endpoint to convert.
+        Returns:
+            str: converted mTLS api endpoint.
+        """
+        if not api_endpoint:
+            return api_endpoint
+
+        mtls_endpoint_re = re.compile(
+            r"(?P<name>[^.]+)(?P<mtls>\.mtls)?(?P<sandbox>\.sandbox)?(?P<googledomain>\.googleapis\.com)?"
+        )
+
+        m = mtls_endpoint_re.match(api_endpoint)
+        name, mtls, sandbox, googledomain = m.groups()
+        if mtls or not googledomain:
+            return api_endpoint
+
+        if sandbox:
+            return api_endpoint.replace(
+                "sandbox.googleapis.com", "mtls.sandbox.googleapis.com"
+            )
+
+        return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com")
+
+    # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead.
+    DEFAULT_ENDPOINT = "dataplex.googleapis.com"
+    DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__(  # type: ignore
+        DEFAULT_ENDPOINT
+    )
+
+    _DEFAULT_ENDPOINT_TEMPLATE = "dataplex.{UNIVERSE_DOMAIN}"
+    _DEFAULT_UNIVERSE = "googleapis.com"
+
+    @classmethod
+    def from_service_account_info(cls, info: dict, *args, **kwargs):
+        """Creates an instance of this client using the provided credentials
+            info.
+
+        Args:
+            info (dict): The service account private key info.
+            args: Additional arguments to pass to the constructor.
+            kwargs: Additional arguments to pass to the constructor.
+
+        Returns:
+            DataTaxonomyServiceClient: The constructed client.
+        """
+        credentials = service_account.Credentials.from_service_account_info(info)
+        kwargs["credentials"] = credentials
+        return cls(*args, **kwargs)
+
+    @classmethod
+    def from_service_account_file(cls, filename: str, *args, **kwargs):
+        """Creates an instance of this client using the provided credentials
+            file.
+
+        Args:
+            filename (str): The path to the service account private key json
+                file.
+            args: Additional arguments to pass to the constructor.
+            kwargs: Additional arguments to pass to the constructor.
+
+        Returns:
+            DataTaxonomyServiceClient: The constructed client.
+        """
+        credentials = service_account.Credentials.from_service_account_file(
+            filename)
+        kwargs["credentials"] = credentials
+        return cls(*args, **kwargs)
+
+    from_service_account_json = from_service_account_file
+
+    @property
+    def transport(self) -> DataTaxonomyServiceTransport:
+        """Returns the transport used by the client instance.
+
+        Returns:
+            DataTaxonomyServiceTransport: The transport used by the client
+                instance.
+        """
+        return self._transport
+
+    @staticmethod
+    def data_attribute_path(project: str,location: str,dataTaxonomy: str,data_attribute_id: str,) -> str:
+        """Returns a fully-qualified data_attribute string."""
+        return "projects/{project}/locations/{location}/dataTaxonomies/{dataTaxonomy}/attributes/{data_attribute_id}".format(project=project, location=location, dataTaxonomy=dataTaxonomy, data_attribute_id=data_attribute_id, )
+
+    @staticmethod
+    def parse_data_attribute_path(path: str) -> Dict[str,str]:
+        """Parses a data_attribute path into its component segments."""
+        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/dataTaxonomies/(?P<dataTaxonomy>.+?)/attributes/(?P<data_attribute_id>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @staticmethod
+    def data_attribute_binding_path(project: str,location: str,data_attribute_binding_id: str,) -> str:
+        """Returns a fully-qualified data_attribute_binding string."""
+        return "projects/{project}/locations/{location}/dataAttributeBindings/{data_attribute_binding_id}".format(project=project, location=location, data_attribute_binding_id=data_attribute_binding_id, )
+
+    @staticmethod
+    def parse_data_attribute_binding_path(path: str) -> Dict[str,str]:
+        """Parses a data_attribute_binding path into its component segments."""
+        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/dataAttributeBindings/(?P<data_attribute_binding_id>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @staticmethod
+    def data_taxonomy_path(project: str,location: str,data_taxonomy_id: str,) -> str:
+        """Returns a fully-qualified data_taxonomy string."""
+        return "projects/{project}/locations/{location}/dataTaxonomies/{data_taxonomy_id}".format(project=project, location=location, data_taxonomy_id=data_taxonomy_id, )
+
+    @staticmethod
+    def parse_data_taxonomy_path(path: str) -> Dict[str,str]:
+        """Parses a data_taxonomy path into its component segments."""
+        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/dataTaxonomies/(?P<data_taxonomy_id>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @staticmethod
+    def common_billing_account_path(billing_account: str, ) -> str:
+        """Returns a fully-qualified billing_account string."""
+        return "billingAccounts/{billing_account}".format(billing_account=billing_account, )
+
+    @staticmethod
+    def parse_common_billing_account_path(path: str) -> Dict[str,str]:
+        """Parse a billing_account path into its component segments."""
+        m = re.match(r"^billingAccounts/(?P<billing_account>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @staticmethod
+    def common_folder_path(folder: str, ) -> str:
+        """Returns a fully-qualified folder string."""
+        return "folders/{folder}".format(folder=folder, )
+
+    @staticmethod
+    def parse_common_folder_path(path: str) -> Dict[str,str]:
+        """Parse a folder path into its component segments."""
+        m = re.match(r"^folders/(?P<folder>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @staticmethod
+    def common_organization_path(organization: str, ) -> str:
+        """Returns a fully-qualified organization string."""
+        return "organizations/{organization}".format(organization=organization, )
+
+    @staticmethod
+    def parse_common_organization_path(path: str) -> Dict[str,str]:
+        """Parse a organization path into its component segments."""
+        m = re.match(r"^organizations/(?P<organization>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @staticmethod
+    def common_project_path(project: str, ) -> str:
+        """Returns a fully-qualified project string."""
+        return "projects/{project}".format(project=project, )
+
+    @staticmethod
+    def parse_common_project_path(path: str) -> Dict[str,str]:
+        """Parse a project path into its component segments."""
+        m = re.match(r"^projects/(?P<project>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @staticmethod
+    def common_location_path(project: str, location: str, ) -> str:
+        """Returns a fully-qualified location string."""
+        return "projects/{project}/locations/{location}".format(project=project, location=location, )
+
+    @staticmethod
+    def parse_common_location_path(path: str) -> Dict[str,str]:
+        """Parse a location path into its component segments."""
+        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @classmethod
+    def get_mtls_endpoint_and_cert_source(cls, client_options: Optional[client_options_lib.ClientOptions] = None):
+        """Deprecated. Return the API endpoint and client cert source for mutual TLS.
+
+        The client cert source is determined in the following order:
+        (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the
+        client cert source is None.
+        (2) if `client_options.client_cert_source` is provided, use the provided one; if the
+        default client cert source exists, use the default one; otherwise the client cert
+        source is None.
+
+        The API endpoint is determined in the following order:
+        (1) if `client_options.api_endpoint` if provided, use the provided one.
+        (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the
+        default mTLS endpoint; if the environment variable is "never", use the default API
+        endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise
+        use the default API endpoint.
+
+        More details can be found at https://google.aip.dev/auth/4114.
+
+        Args:
+            client_options (google.api_core.client_options.ClientOptions): Custom options for the
+                client. Only the `api_endpoint` and `client_cert_source` properties may be used
+                in this method.
+
+        Returns:
+            Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the
+                client cert source to use.
+
+        Raises:
+            google.auth.exceptions.MutualTLSChannelError: If any errors happen.
+        """
+
+        warnings.warn("get_mtls_endpoint_and_cert_source is deprecated. Use the api_endpoint property instead.",
+            DeprecationWarning)
+        if client_options is None:
+            client_options = client_options_lib.ClientOptions()
+        use_client_cert = os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false")
+        use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto")
+        if use_client_cert not in ("true", "false"):
+            raise ValueError("Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`")
+        if use_mtls_endpoint not in ("auto", "never", "always"):
+            raise MutualTLSChannelError("Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`")
+
+        # Figure out the client cert source to use.
+        client_cert_source = None
+        if use_client_cert == "true":
+            if client_options.client_cert_source:
+                client_cert_source = client_options.client_cert_source
+            elif mtls.has_default_client_cert_source():
+                client_cert_source = mtls.default_client_cert_source()
+
+        # Figure out which api endpoint to use.
+        if client_options.api_endpoint is not None:
+            api_endpoint = client_options.api_endpoint
+        elif use_mtls_endpoint == "always" or (use_mtls_endpoint == "auto" and client_cert_source):
+            api_endpoint = cls.DEFAULT_MTLS_ENDPOINT
+        else:
+            api_endpoint = cls.DEFAULT_ENDPOINT
+
+        return api_endpoint, client_cert_source
+
+    @staticmethod
+    def _read_environment_variables():
+        """Returns the environment variables used by the client.
+
+        Returns:
+            Tuple[bool, str, str]: returns the GOOGLE_API_USE_CLIENT_CERTIFICATE,
+            GOOGLE_API_USE_MTLS_ENDPOINT, and GOOGLE_CLOUD_UNIVERSE_DOMAIN environment variables.
+
+        Raises:
+            ValueError: If GOOGLE_API_USE_CLIENT_CERTIFICATE is not
+                any of ["true", "false"].
+            google.auth.exceptions.MutualTLSChannelError: If GOOGLE_API_USE_MTLS_ENDPOINT
+                is not any of ["auto", "never", "always"].
+        """
+        use_client_cert = os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false").lower()
+        use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto").lower()
+        universe_domain_env = os.getenv("GOOGLE_CLOUD_UNIVERSE_DOMAIN")
+        if use_client_cert not in ("true", "false"):
+            raise ValueError("Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`")
+        if use_mtls_endpoint not in ("auto", "never", "always"):
+            raise MutualTLSChannelError("Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`")
+        return use_client_cert == "true", use_mtls_endpoint, universe_domain_env
+
+    @staticmethod
+    def _get_client_cert_source(provided_cert_source, use_cert_flag):
+        """Return the client cert source to be used by the client.
+
+        Args:
+            provided_cert_source (bytes): The client certificate source provided.
+            use_cert_flag (bool): A flag indicating whether to use the client certificate.
+
+        Returns:
+            bytes or None: The client cert source to be used by the client.
+        """
+        client_cert_source = None
+        if use_cert_flag:
+            if provided_cert_source:
+                client_cert_source = provided_cert_source
+            elif mtls.has_default_client_cert_source():
+                client_cert_source = mtls.default_client_cert_source()
+        return client_cert_source
+
+    @staticmethod
+    def _get_api_endpoint(api_override, client_cert_source, universe_domain, use_mtls_endpoint):
+        """Return the API endpoint used by the client.
+
+        Args:
+            api_override (str): The API endpoint override. If specified, this is always
+                the return value of this function and the other arguments are not used.
+            client_cert_source (bytes): The client certificate source used by the client.
+            universe_domain (str): The universe domain used by the client.
+            use_mtls_endpoint (str): How to use the mTLS endpoint, which depends also on the other parameters.
+                Possible values are "always", "auto", or "never".
+
+        Returns:
+            str: The API endpoint to be used by the client.
+        """
+        if api_override is not None:
+            api_endpoint = api_override
+        elif use_mtls_endpoint == "always" or (use_mtls_endpoint == "auto" and client_cert_source):
+            _default_universe = DataTaxonomyServiceClient._DEFAULT_UNIVERSE
+            if universe_domain != _default_universe:
+                raise MutualTLSChannelError(f"mTLS is not supported in any universe other than {_default_universe}.")
+            api_endpoint = DataTaxonomyServiceClient.DEFAULT_MTLS_ENDPOINT
+        else:
+            api_endpoint = DataTaxonomyServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=universe_domain)
+        return api_endpoint
+
+    @staticmethod
+    def _get_universe_domain(client_universe_domain: Optional[str], universe_domain_env: Optional[str]) -> str:
+        """Return the universe domain used by the client.
+
+        Args:
+            client_universe_domain (Optional[str]): The universe domain configured via the client options.
+            universe_domain_env (Optional[str]): The universe domain configured via the "GOOGLE_CLOUD_UNIVERSE_DOMAIN" environment variable.
+
+        Returns:
+            str: The universe domain to be used by the client.
+
+        Raises:
+            ValueError: If the universe domain is an empty string.
+        """
+        universe_domain = DataTaxonomyServiceClient._DEFAULT_UNIVERSE
+        if client_universe_domain is not None:
+            universe_domain = client_universe_domain
+        elif universe_domain_env is not None:
+            universe_domain = universe_domain_env
+        if len(universe_domain.strip()) == 0:
+            raise ValueError("Universe Domain cannot be an empty string.")
+        return universe_domain
+
+    def _validate_universe_domain(self):
+        """Validates client's and credentials' universe domains are consistent.
+
+        Returns:
+            bool: True iff the configured universe domain is valid.
+
+        Raises:
+            ValueError: If the configured universe domain is not valid.
+        """
+
+        # NOTE (b/349488459): universe validation is disabled until further notice.
+        return True
+
+    @property
+    def api_endpoint(self):
+        """Return the API endpoint used by the client instance.
+
+        Returns:
+            str: The API endpoint used by the client instance.
+        """
+        return self._api_endpoint
+
+    @property
+    def universe_domain(self) -> str:
+        """Return the universe domain used by the client instance.
+
+        Returns:
+            str: The universe domain used by the client instance.
+        """
+        return self._universe_domain
+
+    def __init__(self, *,
+            credentials: Optional[ga_credentials.Credentials] = None,
+            transport: Optional[Union[str, DataTaxonomyServiceTransport, Callable[..., DataTaxonomyServiceTransport]]] = None,
+            client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None,
+            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
+            ) -> None:
+        """Instantiates the data taxonomy service client.
+
+        Args:
+            credentials (Optional[google.auth.credentials.Credentials]): The
+                authorization credentials to attach to requests. These
+                credentials identify the application to the service; if none
+                are specified, the client will attempt to ascertain the
+                credentials from the environment.
+            transport (Optional[Union[str,DataTaxonomyServiceTransport,Callable[..., DataTaxonomyServiceTransport]]]):
+                The transport to use, or a Callable that constructs and returns a new transport.
+                If a Callable is given, it will be called with the same set of initialization
+                arguments as used in the DataTaxonomyServiceTransport constructor.
+                If set to None, a transport is chosen automatically.
+            client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]):
+                Custom options for the client.
+
+                1. The ``api_endpoint`` property can be used to override the
+                default endpoint provided by the client when ``transport`` is
+                not explicitly provided. Only if this property is not set and
+                ``transport`` was not explicitly provided, the endpoint is
+                determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment
+                variable, which have one of the following values:
+                "always" (always use the default mTLS endpoint), "never" (always
+                use the default regular endpoint) and "auto" (auto-switch to the
+                default mTLS endpoint if client certificate is present; this is
+                the default value).
+
+                2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable
+                is "true", then the ``client_cert_source`` property can be used
+                to provide a client certificate for mTLS transport. If
+                not provided, the default SSL client certificate will be used if
+                present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not
+                set, no client certificate will be used.
+
+                3. The ``universe_domain`` property can be used to override the
+                default "googleapis.com" universe. Note that the ``api_endpoint``
+                property still takes precedence; and ``universe_domain`` is
+                currently not supported for mTLS.
+
+            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
+                The client info used to send a user-agent string along with
+                API requests. If ``None``, then default info will be used.
+                Generally, you only need to set this if you're developing
+                your own client library.
+
+        Raises:
+            google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport
+                creation failed for any reason.
+        """
+        self._client_options = client_options
+        if isinstance(self._client_options, dict):
+            self._client_options = client_options_lib.from_dict(self._client_options)
+        if self._client_options is None:
+            self._client_options = client_options_lib.ClientOptions()
+        self._client_options = cast(client_options_lib.ClientOptions, self._client_options)
+
+        universe_domain_opt = getattr(self._client_options, 'universe_domain', None)
+
+        self._use_client_cert, self._use_mtls_endpoint, self._universe_domain_env = DataTaxonomyServiceClient._read_environment_variables()
+        self._client_cert_source = DataTaxonomyServiceClient._get_client_cert_source(self._client_options.client_cert_source, self._use_client_cert)
+        self._universe_domain = DataTaxonomyServiceClient._get_universe_domain(universe_domain_opt, self._universe_domain_env)
+        self._api_endpoint = None # updated below, depending on `transport`
+
+        # Initialize the universe domain validation.
+        self._is_universe_domain_valid = False
+
+        api_key_value = getattr(self._client_options, "api_key", None)
+        if api_key_value and credentials:
+            raise ValueError("client_options.api_key and credentials are mutually exclusive")
+
+        # Save or instantiate the transport.
+        # Ordinarily, we provide the transport, but allowing a custom transport
+        # instance provides an extensibility point for unusual situations.
+        transport_provided = isinstance(transport, DataTaxonomyServiceTransport)
+        if transport_provided:
+            # transport is a DataTaxonomyServiceTransport instance.
+            if credentials or self._client_options.credentials_file or api_key_value:
+                raise ValueError("When providing a transport instance, "
+                                 "provide its credentials directly.")
+            if self._client_options.scopes:
+                raise ValueError(
+                    "When providing a transport instance, provide its scopes "
+                    "directly."
+                )
+            self._transport = cast(DataTaxonomyServiceTransport, transport)
+            self._api_endpoint = self._transport.host
+
+        self._api_endpoint = (self._api_endpoint or
+            DataTaxonomyServiceClient._get_api_endpoint(
+                self._client_options.api_endpoint,
+                self._client_cert_source,
+                self._universe_domain,
+                self._use_mtls_endpoint))
+
+        if not transport_provided:
+            import google.auth._default  # type: ignore
+
+            if api_key_value and hasattr(google.auth._default, "get_api_key_credentials"):
+                credentials = google.auth._default.get_api_key_credentials(api_key_value)
+
+            transport_init: Union[Type[DataTaxonomyServiceTransport], Callable[..., DataTaxonomyServiceTransport]] = (
+                DataTaxonomyServiceClient.get_transport_class(transport)
+                if isinstance(transport, str) or transport is None
+                else cast(Callable[..., DataTaxonomyServiceTransport], transport)
+            )
+            # initialize with the provided callable or the passed in class
+            self._transport = transport_init(
+                credentials=credentials,
+                credentials_file=self._client_options.credentials_file,
+                host=self._api_endpoint,
+                scopes=self._client_options.scopes,
+                client_cert_source_for_mtls=self._client_cert_source,
+                quota_project_id=self._client_options.quota_project_id,
+                client_info=client_info,
+                always_use_jwt_access=True,
+                api_audience=self._client_options.api_audience,
+            )
+
+    def create_data_taxonomy(self,
+            request: Optional[Union[gcd_data_taxonomy.CreateDataTaxonomyRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            data_taxonomy: Optional[gcd_data_taxonomy.DataTaxonomy] = None,
+            data_taxonomy_id: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation.Operation:
+        r"""Create a DataTaxonomy resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_create_data_taxonomy():
+                # Create a client
+                client = dataplex_v1.DataTaxonomyServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.CreateDataTaxonomyRequest(
+                    parent="parent_value",
+                    data_taxonomy_id="data_taxonomy_id_value",
+                )
+
+                # Make the request
+                operation = client.create_data_taxonomy(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = operation.result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.CreateDataTaxonomyRequest, dict]):
+                The request object. Create DataTaxonomy request.
+            parent (str):
+                Required. The resource name of the data taxonomy
+                location, of the form:
+                projects/{project_number}/locations/{location_id} where
+                ``location_id`` refers to a GCP region.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            data_taxonomy (google.cloud.dataplex_v1.types.DataTaxonomy):
+                Required. DataTaxonomy resource.
+                This corresponds to the ``data_taxonomy`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            data_taxonomy_id (str):
+                Required. DataTaxonomy identifier.
+
+                -  Must contain only lowercase letters, numbers and
+                   hyphens.
+                -  Must start with a letter.
+                -  Must be between 1-63 characters.
+                -  Must end with a number or a letter.
+                -  Must be unique within the Project.
+
+                This corresponds to the ``data_taxonomy_id`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation.Operation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.DataTaxonomy` DataTaxonomy represents a set of hierarchical DataAttributes resources,
+                   grouped with a common theme Eg:
+                   'SensitiveDataTaxonomy' can have attributes to manage
+                   PII data. It is defined at project level.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent, data_taxonomy, data_taxonomy_id])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, gcd_data_taxonomy.CreateDataTaxonomyRequest):
+            request = gcd_data_taxonomy.CreateDataTaxonomyRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if parent is not None:
+                request.parent = parent
+            if data_taxonomy is not None:
+                request.data_taxonomy = data_taxonomy
+            if data_taxonomy_id is not None:
+                request.data_taxonomy_id = data_taxonomy_id
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.create_data_taxonomy]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation.from_gapic(
+            response,
+            self._transport.operations_client,
+            gcd_data_taxonomy.DataTaxonomy,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def update_data_taxonomy(self,
+            request: Optional[Union[gcd_data_taxonomy.UpdateDataTaxonomyRequest, dict]] = None,
+            *,
+            data_taxonomy: Optional[gcd_data_taxonomy.DataTaxonomy] = None,
+            update_mask: Optional[field_mask_pb2.FieldMask] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation.Operation:
+        r"""Updates a DataTaxonomy resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_update_data_taxonomy():
+                # Create a client
+                client = dataplex_v1.DataTaxonomyServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.UpdateDataTaxonomyRequest(
+                )
+
+                # Make the request
+                operation = client.update_data_taxonomy(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = operation.result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.UpdateDataTaxonomyRequest, dict]):
+                The request object. Update DataTaxonomy request.
+            data_taxonomy (google.cloud.dataplex_v1.types.DataTaxonomy):
+                Required. Only fields specified in ``update_mask`` are
+                updated.
+
+                This corresponds to the ``data_taxonomy`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            update_mask (google.protobuf.field_mask_pb2.FieldMask):
+                Required. Mask of fields to update.
+                This corresponds to the ``update_mask`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation.Operation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.DataTaxonomy` DataTaxonomy represents a set of hierarchical DataAttributes resources,
+                   grouped with a common theme Eg:
+                   'SensitiveDataTaxonomy' can have attributes to manage
+                   PII data. It is defined at project level.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([data_taxonomy, update_mask])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, gcd_data_taxonomy.UpdateDataTaxonomyRequest):
+            request = gcd_data_taxonomy.UpdateDataTaxonomyRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if data_taxonomy is not None:
+                request.data_taxonomy = data_taxonomy
+            if update_mask is not None:
+                request.update_mask = update_mask
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.update_data_taxonomy]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("data_taxonomy.name", request.data_taxonomy.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation.from_gapic(
+            response,
+            self._transport.operations_client,
+            gcd_data_taxonomy.DataTaxonomy,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def delete_data_taxonomy(self,
+            request: Optional[Union[data_taxonomy.DeleteDataTaxonomyRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation.Operation:
+        r"""Deletes a DataTaxonomy resource. All attributes
+        within the DataTaxonomy must be deleted before the
+        DataTaxonomy can be deleted.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_delete_data_taxonomy():
+                # Create a client
+                client = dataplex_v1.DataTaxonomyServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.DeleteDataTaxonomyRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                operation = client.delete_data_taxonomy(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = operation.result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.DeleteDataTaxonomyRequest, dict]):
+                The request object. Delete DataTaxonomy request.
+            name (str):
+                Required. The resource name of the DataTaxonomy:
+                projects/{project_number}/locations/{location_id}/dataTaxonomies/{data_taxonomy_id}
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation.Operation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
+                   empty messages in your APIs. A typical example is to
+                   use it as the request or the response type of an API
+                   method. For instance:
+
+                      service Foo {
+                         rpc Bar(google.protobuf.Empty) returns
+                         (google.protobuf.Empty);
+
+                      }
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, data_taxonomy.DeleteDataTaxonomyRequest):
+            request = data_taxonomy.DeleteDataTaxonomyRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if name is not None:
+                request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.delete_data_taxonomy]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation.from_gapic(
+            response,
+            self._transport.operations_client,
+            empty_pb2.Empty,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def list_data_taxonomies(self,
+            request: Optional[Union[data_taxonomy.ListDataTaxonomiesRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> pagers.ListDataTaxonomiesPager:
+        r"""Lists DataTaxonomy resources in a project and
+        location.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_list_data_taxonomies():
+                # Create a client
+                client = dataplex_v1.DataTaxonomyServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.ListDataTaxonomiesRequest(
+                    parent="parent_value",
+                )
+
+                # Make the request
+                page_result = client.list_data_taxonomies(request=request)
+
+                # Handle the response
+                for response in page_result:
+                    print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.ListDataTaxonomiesRequest, dict]):
+                The request object. List DataTaxonomies request.
+            parent (str):
+                Required. The resource name of the DataTaxonomy
+                location, of the form:
+                projects/{project_number}/locations/{location_id} where
+                ``location_id`` refers to a GCP region.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.services.data_taxonomy_service.pagers.ListDataTaxonomiesPager:
+                List DataTaxonomies response.
+
+                Iterating over this object will yield
+                results and resolve additional pages
+                automatically.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, data_taxonomy.ListDataTaxonomiesRequest):
+            request = data_taxonomy.ListDataTaxonomiesRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if parent is not None:
+                request.parent = parent
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.list_data_taxonomies]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # This method is paged; wrap the response in a pager, which provides
+        # an `__iter__` convenience method.
+        response = pagers.ListDataTaxonomiesPager(
+            method=rpc,
+            request=request,
+            response=response,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def get_data_taxonomy(self,
+            request: Optional[Union[data_taxonomy.GetDataTaxonomyRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> data_taxonomy.DataTaxonomy:
+        r"""Retrieves a DataTaxonomy resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_get_data_taxonomy():
+                # Create a client
+                client = dataplex_v1.DataTaxonomyServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.GetDataTaxonomyRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                response = client.get_data_taxonomy(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.GetDataTaxonomyRequest, dict]):
+                The request object. Get DataTaxonomy request.
+            name (str):
+                Required. The resource name of the DataTaxonomy:
+                projects/{project_number}/locations/{location_id}/dataTaxonomies/{data_taxonomy_id}
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.DataTaxonomy:
+                DataTaxonomy represents a set of
+                hierarchical DataAttributes resources,
+                grouped with a common theme Eg:
+                'SensitiveDataTaxonomy' can have
+                attributes to manage PII data. It is
+                defined at project level.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, data_taxonomy.GetDataTaxonomyRequest):
+            request = data_taxonomy.GetDataTaxonomyRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if name is not None:
+                request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.get_data_taxonomy]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def create_data_attribute_binding(self,
+            request: Optional[Union[data_taxonomy.CreateDataAttributeBindingRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            data_attribute_binding: Optional[data_taxonomy.DataAttributeBinding] = None,
+            data_attribute_binding_id: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation.Operation:
+        r"""Create a DataAttributeBinding resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_create_data_attribute_binding():
+                # Create a client
+                client = dataplex_v1.DataTaxonomyServiceClient()
+
+                # Initialize request argument(s)
+                data_attribute_binding = dataplex_v1.DataAttributeBinding()
+                data_attribute_binding.resource = "resource_value"
+
+                request = dataplex_v1.CreateDataAttributeBindingRequest(
+                    parent="parent_value",
+                    data_attribute_binding_id="data_attribute_binding_id_value",
+                    data_attribute_binding=data_attribute_binding,
+                )
+
+                # Make the request
+                operation = client.create_data_attribute_binding(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = operation.result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.CreateDataAttributeBindingRequest, dict]):
+                The request object. Create DataAttributeBinding request.
+            parent (str):
+                Required. The resource name of the parent data taxonomy
+                projects/{project_number}/locations/{location_id}
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            data_attribute_binding (google.cloud.dataplex_v1.types.DataAttributeBinding):
+                Required. DataAttributeBinding
+                resource.
+
+                This corresponds to the ``data_attribute_binding`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            data_attribute_binding_id (str):
+                Required. DataAttributeBinding identifier.
+
+                -  Must contain only lowercase letters, numbers and
+                   hyphens.
+                -  Must start with a letter.
+                -  Must be between 1-63 characters.
+                -  Must end with a number or a letter.
+                -  Must be unique within the Location.
+
+                This corresponds to the ``data_attribute_binding_id`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation.Operation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.DataAttributeBinding` DataAttributeBinding represents binding of attributes to resources. Eg: Bind
+                   'CustomerInfo' entity with 'PII' attribute.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent, data_attribute_binding, data_attribute_binding_id])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, data_taxonomy.CreateDataAttributeBindingRequest):
+            request = data_taxonomy.CreateDataAttributeBindingRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if parent is not None:
+                request.parent = parent
+            if data_attribute_binding is not None:
+                request.data_attribute_binding = data_attribute_binding
+            if data_attribute_binding_id is not None:
+                request.data_attribute_binding_id = data_attribute_binding_id
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.create_data_attribute_binding]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation.from_gapic(
+            response,
+            self._transport.operations_client,
+            data_taxonomy.DataAttributeBinding,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def update_data_attribute_binding(self,
+            request: Optional[Union[data_taxonomy.UpdateDataAttributeBindingRequest, dict]] = None,
+            *,
+            data_attribute_binding: Optional[data_taxonomy.DataAttributeBinding] = None,
+            update_mask: Optional[field_mask_pb2.FieldMask] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation.Operation:
+        r"""Updates a DataAttributeBinding resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_update_data_attribute_binding():
+                # Create a client
+                client = dataplex_v1.DataTaxonomyServiceClient()
+
+                # Initialize request argument(s)
+                data_attribute_binding = dataplex_v1.DataAttributeBinding()
+                data_attribute_binding.resource = "resource_value"
+
+                request = dataplex_v1.UpdateDataAttributeBindingRequest(
+                    data_attribute_binding=data_attribute_binding,
+                )
+
+                # Make the request
+                operation = client.update_data_attribute_binding(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = operation.result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.UpdateDataAttributeBindingRequest, dict]):
+                The request object. Update DataAttributeBinding request.
+            data_attribute_binding (google.cloud.dataplex_v1.types.DataAttributeBinding):
+                Required. Only fields specified in ``update_mask`` are
+                updated.
+
+                This corresponds to the ``data_attribute_binding`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            update_mask (google.protobuf.field_mask_pb2.FieldMask):
+                Required. Mask of fields to update.
+                This corresponds to the ``update_mask`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation.Operation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.DataAttributeBinding` DataAttributeBinding represents binding of attributes to resources. Eg: Bind
+                   'CustomerInfo' entity with 'PII' attribute.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([data_attribute_binding, update_mask])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, data_taxonomy.UpdateDataAttributeBindingRequest):
+            request = data_taxonomy.UpdateDataAttributeBindingRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if data_attribute_binding is not None:
+                request.data_attribute_binding = data_attribute_binding
+            if update_mask is not None:
+                request.update_mask = update_mask
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.update_data_attribute_binding]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("data_attribute_binding.name", request.data_attribute_binding.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation.from_gapic(
+            response,
+            self._transport.operations_client,
+            data_taxonomy.DataAttributeBinding,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def delete_data_attribute_binding(self,
+            request: Optional[Union[data_taxonomy.DeleteDataAttributeBindingRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation.Operation:
+        r"""Deletes a DataAttributeBinding resource. All
+        attributes within the DataAttributeBinding must be
+        deleted before the DataAttributeBinding can be deleted.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_delete_data_attribute_binding():
+                # Create a client
+                client = dataplex_v1.DataTaxonomyServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.DeleteDataAttributeBindingRequest(
+                    name="name_value",
+                    etag="etag_value",
+                )
+
+                # Make the request
+                operation = client.delete_data_attribute_binding(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = operation.result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.DeleteDataAttributeBindingRequest, dict]):
+                The request object. Delete DataAttributeBinding request.
+            name (str):
+                Required. The resource name of the DataAttributeBinding:
+                projects/{project_number}/locations/{location_id}/dataAttributeBindings/{data_attribute_binding_id}
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation.Operation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
+                   empty messages in your APIs. A typical example is to
+                   use it as the request or the response type of an API
+                   method. For instance:
+
+                      service Foo {
+                         rpc Bar(google.protobuf.Empty) returns
+                         (google.protobuf.Empty);
+
+                      }
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, data_taxonomy.DeleteDataAttributeBindingRequest):
+            request = data_taxonomy.DeleteDataAttributeBindingRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if name is not None:
+                request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.delete_data_attribute_binding]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation.from_gapic(
+            response,
+            self._transport.operations_client,
+            empty_pb2.Empty,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def list_data_attribute_bindings(self,
+            request: Optional[Union[data_taxonomy.ListDataAttributeBindingsRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> pagers.ListDataAttributeBindingsPager:
+        r"""Lists DataAttributeBinding resources in a project and
+        location.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_list_data_attribute_bindings():
+                # Create a client
+                client = dataplex_v1.DataTaxonomyServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.ListDataAttributeBindingsRequest(
+                    parent="parent_value",
+                )
+
+                # Make the request
+                page_result = client.list_data_attribute_bindings(request=request)
+
+                # Handle the response
+                for response in page_result:
+                    print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.ListDataAttributeBindingsRequest, dict]):
+                The request object. List DataAttributeBindings request.
+            parent (str):
+                Required. The resource name of the Location:
+                projects/{project_number}/locations/{location_id}
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.services.data_taxonomy_service.pagers.ListDataAttributeBindingsPager:
+                List DataAttributeBindings response.
+
+                Iterating over this object will yield
+                results and resolve additional pages
+                automatically.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, data_taxonomy.ListDataAttributeBindingsRequest):
+            request = data_taxonomy.ListDataAttributeBindingsRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if parent is not None:
+                request.parent = parent
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.list_data_attribute_bindings]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # This method is paged; wrap the response in a pager, which provides
+        # an `__iter__` convenience method.
+        response = pagers.ListDataAttributeBindingsPager(
+            method=rpc,
+            request=request,
+            response=response,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def get_data_attribute_binding(self,
+            request: Optional[Union[data_taxonomy.GetDataAttributeBindingRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> data_taxonomy.DataAttributeBinding:
+        r"""Retrieves a DataAttributeBinding resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_get_data_attribute_binding():
+                # Create a client
+                client = dataplex_v1.DataTaxonomyServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.GetDataAttributeBindingRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                response = client.get_data_attribute_binding(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.GetDataAttributeBindingRequest, dict]):
+                The request object. Get DataAttributeBinding request.
+            name (str):
+                Required. The resource name of the DataAttributeBinding:
+                projects/{project_number}/locations/{location_id}/dataAttributeBindings/{data_attribute_binding_id}
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.DataAttributeBinding:
+                DataAttributeBinding represents
+                binding of attributes to resources. Eg:
+                Bind 'CustomerInfo' entity with 'PII'
+                attribute.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, data_taxonomy.GetDataAttributeBindingRequest):
+            request = data_taxonomy.GetDataAttributeBindingRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if name is not None:
+                request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.get_data_attribute_binding]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def create_data_attribute(self,
+            request: Optional[Union[data_taxonomy.CreateDataAttributeRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            data_attribute: Optional[data_taxonomy.DataAttribute] = None,
+            data_attribute_id: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation.Operation:
+        r"""Create a DataAttribute resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_create_data_attribute():
+                # Create a client
+                client = dataplex_v1.DataTaxonomyServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.CreateDataAttributeRequest(
+                    parent="parent_value",
+                    data_attribute_id="data_attribute_id_value",
+                )
+
+                # Make the request
+                operation = client.create_data_attribute(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = operation.result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.CreateDataAttributeRequest, dict]):
+                The request object. Create DataAttribute request.
+            parent (str):
+                Required. The resource name of the parent data taxonomy
+                projects/{project_number}/locations/{location_id}/dataTaxonomies/{data_taxonomy_id}
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            data_attribute (google.cloud.dataplex_v1.types.DataAttribute):
+                Required. DataAttribute resource.
+                This corresponds to the ``data_attribute`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            data_attribute_id (str):
+                Required. DataAttribute identifier.
+
+                -  Must contain only lowercase letters, numbers and
+                   hyphens.
+                -  Must start with a letter.
+                -  Must be between 1-63 characters.
+                -  Must end with a number or a letter.
+                -  Must be unique within the DataTaxonomy.
+
+                This corresponds to the ``data_attribute_id`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation.Operation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.DataAttribute` Denotes one dataAttribute in a dataTaxonomy, for example, PII.
+                   DataAttribute resources can be defined in a
+                   hierarchy. A single dataAttribute resource can
+                   contain specs of multiple types
+
+                   :literal:`\` PII   - ResourceAccessSpec :                 - readers :foo@bar.com   - DataAccessSpec :                 - readers :bar@foo.com`\ \`
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent, data_attribute, data_attribute_id])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, data_taxonomy.CreateDataAttributeRequest):
+            request = data_taxonomy.CreateDataAttributeRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if parent is not None:
+                request.parent = parent
+            if data_attribute is not None:
+                request.data_attribute = data_attribute
+            if data_attribute_id is not None:
+                request.data_attribute_id = data_attribute_id
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.create_data_attribute]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation.from_gapic(
+            response,
+            self._transport.operations_client,
+            data_taxonomy.DataAttribute,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def update_data_attribute(self,
+            request: Optional[Union[data_taxonomy.UpdateDataAttributeRequest, dict]] = None,
+            *,
+            data_attribute: Optional[data_taxonomy.DataAttribute] = None,
+            update_mask: Optional[field_mask_pb2.FieldMask] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation.Operation:
+        r"""Updates a DataAttribute resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_update_data_attribute():
+                # Create a client
+                client = dataplex_v1.DataTaxonomyServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.UpdateDataAttributeRequest(
+                )
+
+                # Make the request
+                operation = client.update_data_attribute(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = operation.result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.UpdateDataAttributeRequest, dict]):
+                The request object. Update DataAttribute request.
+            data_attribute (google.cloud.dataplex_v1.types.DataAttribute):
+                Required. Only fields specified in ``update_mask`` are
+                updated.
+
+                This corresponds to the ``data_attribute`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            update_mask (google.protobuf.field_mask_pb2.FieldMask):
+                Required. Mask of fields to update.
+                This corresponds to the ``update_mask`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation.Operation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.DataAttribute` Denotes one dataAttribute in a dataTaxonomy, for example, PII.
+                   DataAttribute resources can be defined in a
+                   hierarchy. A single dataAttribute resource can
+                   contain specs of multiple types
+
+                   :literal:`\` PII   - ResourceAccessSpec :                 - readers :foo@bar.com   - DataAccessSpec :                 - readers :bar@foo.com`\ \`
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([data_attribute, update_mask])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, data_taxonomy.UpdateDataAttributeRequest):
+            request = data_taxonomy.UpdateDataAttributeRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if data_attribute is not None:
+                request.data_attribute = data_attribute
+            if update_mask is not None:
+                request.update_mask = update_mask
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.update_data_attribute]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("data_attribute.name", request.data_attribute.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation.from_gapic(
+            response,
+            self._transport.operations_client,
+            data_taxonomy.DataAttribute,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def delete_data_attribute(self,
+            request: Optional[Union[data_taxonomy.DeleteDataAttributeRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation.Operation:
+        r"""Deletes a Data Attribute resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_delete_data_attribute():
+                # Create a client
+                client = dataplex_v1.DataTaxonomyServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.DeleteDataAttributeRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                operation = client.delete_data_attribute(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = operation.result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.DeleteDataAttributeRequest, dict]):
+                The request object. Delete DataAttribute request.
+            name (str):
+                Required. The resource name of the DataAttribute:
+                projects/{project_number}/locations/{location_id}/dataTaxonomies/{dataTaxonomy}/attributes/{data_attribute_id}
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation.Operation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
+                   empty messages in your APIs. A typical example is to
+                   use it as the request or the response type of an API
+                   method. For instance:
+
+                      service Foo {
+                         rpc Bar(google.protobuf.Empty) returns
+                         (google.protobuf.Empty);
+
+                      }
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, data_taxonomy.DeleteDataAttributeRequest):
+            request = data_taxonomy.DeleteDataAttributeRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if name is not None:
+                request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.delete_data_attribute]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation.from_gapic(
+            response,
+            self._transport.operations_client,
+            empty_pb2.Empty,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def list_data_attributes(self,
+            request: Optional[Union[data_taxonomy.ListDataAttributesRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> pagers.ListDataAttributesPager:
+        r"""Lists Data Attribute resources in a DataTaxonomy.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_list_data_attributes():
+                # Create a client
+                client = dataplex_v1.DataTaxonomyServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.ListDataAttributesRequest(
+                    parent="parent_value",
+                )
+
+                # Make the request
+                page_result = client.list_data_attributes(request=request)
+
+                # Handle the response
+                for response in page_result:
+                    print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.ListDataAttributesRequest, dict]):
+                The request object. List DataAttributes request.
+            parent (str):
+                Required. The resource name of the DataTaxonomy:
+                projects/{project_number}/locations/{location_id}/dataTaxonomies/{data_taxonomy_id}
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.services.data_taxonomy_service.pagers.ListDataAttributesPager:
+                List DataAttributes response.
+
+                Iterating over this object will yield
+                results and resolve additional pages
+                automatically.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, data_taxonomy.ListDataAttributesRequest):
+            request = data_taxonomy.ListDataAttributesRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if parent is not None:
+                request.parent = parent
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.list_data_attributes]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # This method is paged; wrap the response in a pager, which provides
+        # an `__iter__` convenience method.
+        response = pagers.ListDataAttributesPager(
+            method=rpc,
+            request=request,
+            response=response,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def get_data_attribute(self,
+            request: Optional[Union[data_taxonomy.GetDataAttributeRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> data_taxonomy.DataAttribute:
+        r"""Retrieves a Data Attribute resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_get_data_attribute():
+                # Create a client
+                client = dataplex_v1.DataTaxonomyServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.GetDataAttributeRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                response = client.get_data_attribute(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.GetDataAttributeRequest, dict]):
+                The request object. Get DataAttribute request.
+            name (str):
+                Required. The resource name of the dataAttribute:
+                projects/{project_number}/locations/{location_id}/dataTaxonomies/{dataTaxonomy}/attributes/{data_attribute_id}
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.DataAttribute:
+                Denotes one dataAttribute in a dataTaxonomy, for example, PII.
+                   DataAttribute resources can be defined in a
+                   hierarchy. A single dataAttribute resource can
+                   contain specs of multiple types
+
+                   :literal:`\` PII   - ResourceAccessSpec :                 - readers :foo@bar.com   - DataAccessSpec :                 - readers :bar@foo.com`\ \`
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, data_taxonomy.GetDataAttributeRequest):
+            request = data_taxonomy.GetDataAttributeRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if name is not None:
+                request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.get_data_attribute]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def __enter__(self) -> "DataTaxonomyServiceClient":
+        return self
+
+    def __exit__(self, type, value, traceback):
+        """Releases underlying transport's resources.
+
+        .. warning::
+            ONLY use as a context manager if the transport is NOT shared
+            with other clients! Exiting the with block will CLOSE the transport
+            and may cause errors in other clients!
+        """
+        self.transport.close()
+
+    def list_operations(
+        self,
+        request: Optional[operations_pb2.ListOperationsRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> operations_pb2.ListOperationsResponse:
+        r"""Lists operations that match the specified filter in the request.
+
+        Args:
+            request (:class:`~.operations_pb2.ListOperationsRequest`):
+                The request object. Request message for
+                `ListOperations` method.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.operations_pb2.ListOperationsResponse:
+                Response message for ``ListOperations`` method.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.ListOperationsRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.list_operations]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request, retry=retry, timeout=timeout, metadata=metadata,)
+
+        # Done; return the response.
+        return response
+
+    def get_operation(
+        self,
+        request: Optional[operations_pb2.GetOperationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> operations_pb2.Operation:
+        r"""Gets the latest state of a long-running operation.
+
+        Args:
+            request (:class:`~.operations_pb2.GetOperationRequest`):
+                The request object. Request message for
+                `GetOperation` method.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.operations_pb2.Operation:
+                An ``Operation`` object.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.GetOperationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.get_operation]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request, retry=retry, timeout=timeout, metadata=metadata,)
+
+        # Done; return the response.
+        return response
+
+    def delete_operation(
+        self,
+        request: Optional[operations_pb2.DeleteOperationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> None:
+        r"""Deletes a long-running operation.
+
+        This method indicates that the client is no longer interested
+        in the operation result. It does not cancel the operation.
+        If the server doesn't support this method, it returns
+        `google.rpc.Code.UNIMPLEMENTED`.
+
+        Args:
+            request (:class:`~.operations_pb2.DeleteOperationRequest`):
+                The request object. Request message for
+                `DeleteOperation` method.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            None
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.DeleteOperationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.delete_operation]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
+
+    def cancel_operation(
+        self,
+        request: Optional[operations_pb2.CancelOperationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> None:
+        r"""Starts asynchronous cancellation on a long-running operation.
+
+        The server makes a best effort to cancel the operation, but success
+        is not guaranteed.  If the server doesn't support this method, it returns
+        `google.rpc.Code.UNIMPLEMENTED`.
+
+        Args:
+            request (:class:`~.operations_pb2.CancelOperationRequest`):
+                The request object. Request message for
+                `CancelOperation` method.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            None
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.CancelOperationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.cancel_operation]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
+
+    def get_location(
+        self,
+        request: Optional[locations_pb2.GetLocationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> locations_pb2.Location:
+        r"""Gets information about a location.
+
+        Args:
+            request (:class:`~.location_pb2.GetLocationRequest`):
+                The request object. Request message for
+                `GetLocation` method.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                 if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.location_pb2.Location:
+                Location object.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = locations_pb2.GetLocationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.get_location]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request, retry=retry, timeout=timeout, metadata=metadata,)
+
+        # Done; return the response.
+        return response
+
+    def list_locations(
+        self,
+        request: Optional[locations_pb2.ListLocationsRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> locations_pb2.ListLocationsResponse:
+        r"""Lists information about the supported locations for this service.
+
+        Args:
+            request (:class:`~.location_pb2.ListLocationsRequest`):
+                The request object. Request message for
+                `ListLocations` method.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                 if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.location_pb2.ListLocationsResponse:
+                Response message for ``ListLocations`` method.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = locations_pb2.ListLocationsRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.list_locations]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request, retry=retry, timeout=timeout, metadata=metadata,)
+
+        # Done; return the response.
+        return response
+
+
+DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(gapic_version=package_version.__version__)
+
+
+__all__ = (
+    "DataTaxonomyServiceClient",
+)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_taxonomy_service/pagers.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_taxonomy_service/pagers.py
new file mode 100644
index 000000000000..787b71f82ce8
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_taxonomy_service/pagers.py
@@ -0,0 +1,432 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from google.api_core import gapic_v1
+from google.api_core import retry as retries
+from google.api_core import retry_async as retries_async
+from typing import Any, AsyncIterator, Awaitable, Callable, Sequence, Tuple, Optional, Iterator, Union
+try:
+    OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None]
+    OptionalAsyncRetry = Union[retries_async.AsyncRetry, gapic_v1.method._MethodDefault, None]
+except AttributeError:  # pragma: NO COVER
+    OptionalRetry = Union[retries.Retry, object, None]  # type: ignore
+    OptionalAsyncRetry = Union[retries_async.AsyncRetry, object, None]  # type: ignore
+
+from google.cloud.dataplex_v1.types import data_taxonomy
+
+
+class ListDataTaxonomiesPager:
+    """A pager for iterating through ``list_data_taxonomies`` requests.
+
+    This class thinly wraps an initial
+    :class:`google.cloud.dataplex_v1.types.ListDataTaxonomiesResponse` object, and
+    provides an ``__iter__`` method to iterate through its
+    ``data_taxonomies`` field.
+
+    If there are more pages, the ``__iter__`` method will make additional
+    ``ListDataTaxonomies`` requests and continue to iterate
+    through the ``data_taxonomies`` field on the
+    corresponding responses.
+
+    All the usual :class:`google.cloud.dataplex_v1.types.ListDataTaxonomiesResponse`
+    attributes are available on the pager. If multiple requests are made, only
+    the most recent response is retained, and thus used for attribute lookup.
+    """
+    def __init__(self,
+            method: Callable[..., data_taxonomy.ListDataTaxonomiesResponse],
+            request: data_taxonomy.ListDataTaxonomiesRequest,
+            response: data_taxonomy.ListDataTaxonomiesResponse,
+            *,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = ()):
+        """Instantiate the pager.
+
+        Args:
+            method (Callable): The method that was originally called, and
+                which instantiated this pager.
+            request (google.cloud.dataplex_v1.types.ListDataTaxonomiesRequest):
+                The initial request object.
+            response (google.cloud.dataplex_v1.types.ListDataTaxonomiesResponse):
+                The initial response object.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        self._method = method
+        self._request = data_taxonomy.ListDataTaxonomiesRequest(request)
+        self._response = response
+        self._retry = retry
+        self._timeout = timeout
+        self._metadata = metadata
+
+    def __getattr__(self, name: str) -> Any:
+        return getattr(self._response, name)
+
+    @property
+    def pages(self) -> Iterator[data_taxonomy.ListDataTaxonomiesResponse]:
+        yield self._response
+        while self._response.next_page_token:
+            self._request.page_token = self._response.next_page_token
+            self._response = self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
+            yield self._response
+
+    def __iter__(self) -> Iterator[data_taxonomy.DataTaxonomy]:
+        for page in self.pages:
+            yield from page.data_taxonomies
+
+    def __repr__(self) -> str:
+        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
+
+
+class ListDataTaxonomiesAsyncPager:
+    """A pager for iterating through ``list_data_taxonomies`` requests.
+
+    This class thinly wraps an initial
+    :class:`google.cloud.dataplex_v1.types.ListDataTaxonomiesResponse` object, and
+    provides an ``__aiter__`` method to iterate through its
+    ``data_taxonomies`` field.
+
+    If there are more pages, the ``__aiter__`` method will make additional
+    ``ListDataTaxonomies`` requests and continue to iterate
+    through the ``data_taxonomies`` field on the
+    corresponding responses.
+
+    All the usual :class:`google.cloud.dataplex_v1.types.ListDataTaxonomiesResponse`
+    attributes are available on the pager. If multiple requests are made, only
+    the most recent response is retained, and thus used for attribute lookup.
+    """
+    def __init__(self,
+            method: Callable[..., Awaitable[data_taxonomy.ListDataTaxonomiesResponse]],
+            request: data_taxonomy.ListDataTaxonomiesRequest,
+            response: data_taxonomy.ListDataTaxonomiesResponse,
+            *,
+            retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = ()):
+        """Instantiates the pager.
+
+        Args:
+            method (Callable): The method that was originally called, and
+                which instantiated this pager.
+            request (google.cloud.dataplex_v1.types.ListDataTaxonomiesRequest):
+                The initial request object.
+            response (google.cloud.dataplex_v1.types.ListDataTaxonomiesResponse):
+                The initial response object.
+            retry (google.api_core.retry.AsyncRetry): Designation of what errors,
+                if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        self._method = method
+        self._request = data_taxonomy.ListDataTaxonomiesRequest(request)
+        self._response = response
+        self._retry = retry
+        self._timeout = timeout
+        self._metadata = metadata
+
+    def __getattr__(self, name: str) -> Any:
+        return getattr(self._response, name)
+
+    @property
+    async def pages(self) -> AsyncIterator[data_taxonomy.ListDataTaxonomiesResponse]:
+        yield self._response
+        while self._response.next_page_token:
+            self._request.page_token = self._response.next_page_token
+            self._response = await self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
+            yield self._response
+    def __aiter__(self) -> AsyncIterator[data_taxonomy.DataTaxonomy]:
+        async def async_generator():
+            async for page in self.pages:
+                for response in page.data_taxonomies:
+                    yield response
+
+        return async_generator()
+
+    def __repr__(self) -> str:
+        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
+
+
+class ListDataAttributeBindingsPager:
+    """A pager for iterating through ``list_data_attribute_bindings`` requests.
+
+    This class thinly wraps an initial
+    :class:`google.cloud.dataplex_v1.types.ListDataAttributeBindingsResponse` object, and
+    provides an ``__iter__`` method to iterate through its
+    ``data_attribute_bindings`` field.
+
+    If there are more pages, the ``__iter__`` method will make additional
+    ``ListDataAttributeBindings`` requests and continue to iterate
+    through the ``data_attribute_bindings`` field on the
+    corresponding responses.
+
+    All the usual :class:`google.cloud.dataplex_v1.types.ListDataAttributeBindingsResponse`
+    attributes are available on the pager. If multiple requests are made, only
+    the most recent response is retained, and thus used for attribute lookup.
+    """
+    def __init__(self,
+            method: Callable[..., data_taxonomy.ListDataAttributeBindingsResponse],
+            request: data_taxonomy.ListDataAttributeBindingsRequest,
+            response: data_taxonomy.ListDataAttributeBindingsResponse,
+            *,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = ()):
+        """Instantiate the pager.
+
+        Args:
+            method (Callable): The method that was originally called, and
+                which instantiated this pager.
+            request (google.cloud.dataplex_v1.types.ListDataAttributeBindingsRequest):
+                The initial request object.
+            response (google.cloud.dataplex_v1.types.ListDataAttributeBindingsResponse):
+                The initial response object.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        self._method = method
+        self._request = data_taxonomy.ListDataAttributeBindingsRequest(request)
+        self._response = response
+        self._retry = retry
+        self._timeout = timeout
+        self._metadata = metadata
+
+    def __getattr__(self, name: str) -> Any:
+        return getattr(self._response, name)
+
+    @property
+    def pages(self) -> Iterator[data_taxonomy.ListDataAttributeBindingsResponse]:
+        yield self._response
+        while self._response.next_page_token:
+            self._request.page_token = self._response.next_page_token
+            self._response = self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
+            yield self._response
+
+    def __iter__(self) -> Iterator[data_taxonomy.DataAttributeBinding]:
+        for page in self.pages:
+            yield from page.data_attribute_bindings
+
+    def __repr__(self) -> str:
+        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
+
+
+class ListDataAttributeBindingsAsyncPager:
+    """A pager for iterating through ``list_data_attribute_bindings`` requests.
+
+    This class thinly wraps an initial
+    :class:`google.cloud.dataplex_v1.types.ListDataAttributeBindingsResponse` object, and
+    provides an ``__aiter__`` method to iterate through its
+    ``data_attribute_bindings`` field.
+
+    If there are more pages, the ``__aiter__`` method will make additional
+    ``ListDataAttributeBindings`` requests and continue to iterate
+    through the ``data_attribute_bindings`` field on the
+    corresponding responses.
+
+    All the usual :class:`google.cloud.dataplex_v1.types.ListDataAttributeBindingsResponse`
+    attributes are available on the pager. If multiple requests are made, only
+    the most recent response is retained, and thus used for attribute lookup.
+    """
+    def __init__(self,
+            method: Callable[..., Awaitable[data_taxonomy.ListDataAttributeBindingsResponse]],
+            request: data_taxonomy.ListDataAttributeBindingsRequest,
+            response: data_taxonomy.ListDataAttributeBindingsResponse,
+            *,
+            retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = ()):
+        """Instantiates the pager.
+
+        Args:
+            method (Callable): The method that was originally called, and
+                which instantiated this pager.
+            request (google.cloud.dataplex_v1.types.ListDataAttributeBindingsRequest):
+                The initial request object.
+            response (google.cloud.dataplex_v1.types.ListDataAttributeBindingsResponse):
+                The initial response object.
+            retry (google.api_core.retry.AsyncRetry): Designation of what errors,
+                if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        self._method = method
+        self._request = data_taxonomy.ListDataAttributeBindingsRequest(request)
+        self._response = response
+        self._retry = retry
+        self._timeout = timeout
+        self._metadata = metadata
+
+    def __getattr__(self, name: str) -> Any:
+        return getattr(self._response, name)
+
+    @property
+    async def pages(self) -> AsyncIterator[data_taxonomy.ListDataAttributeBindingsResponse]:
+        yield self._response
+        while self._response.next_page_token:
+            self._request.page_token = self._response.next_page_token
+            self._response = await self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
+            yield self._response
+    def __aiter__(self) -> AsyncIterator[data_taxonomy.DataAttributeBinding]:
+        async def async_generator():
+            async for page in self.pages:
+                for response in page.data_attribute_bindings:
+                    yield response
+
+        return async_generator()
+
+    def __repr__(self) -> str:
+        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
+
+
+class ListDataAttributesPager:
+    """A pager for iterating through ``list_data_attributes`` requests.
+
+    This class thinly wraps an initial
+    :class:`google.cloud.dataplex_v1.types.ListDataAttributesResponse` object, and
+    provides an ``__iter__`` method to iterate through its
+    ``data_attributes`` field.
+
+    If there are more pages, the ``__iter__`` method will make additional
+    ``ListDataAttributes`` requests and continue to iterate
+    through the ``data_attributes`` field on the
+    corresponding responses.
+
+    All the usual :class:`google.cloud.dataplex_v1.types.ListDataAttributesResponse`
+    attributes are available on the pager. If multiple requests are made, only
+    the most recent response is retained, and thus used for attribute lookup.
+    """
+    def __init__(self,
+            method: Callable[..., data_taxonomy.ListDataAttributesResponse],
+            request: data_taxonomy.ListDataAttributesRequest,
+            response: data_taxonomy.ListDataAttributesResponse,
+            *,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = ()):
+        """Instantiate the pager.
+
+        Args:
+            method (Callable): The method that was originally called, and
+                which instantiated this pager.
+            request (google.cloud.dataplex_v1.types.ListDataAttributesRequest):
+                The initial request object.
+            response (google.cloud.dataplex_v1.types.ListDataAttributesResponse):
+                The initial response object.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        self._method = method
+        self._request = data_taxonomy.ListDataAttributesRequest(request)
+        self._response = response
+        self._retry = retry
+        self._timeout = timeout
+        self._metadata = metadata
+
+    def __getattr__(self, name: str) -> Any:
+        return getattr(self._response, name)
+
+    @property
+    def pages(self) -> Iterator[data_taxonomy.ListDataAttributesResponse]:
+        yield self._response
+        while self._response.next_page_token:
+            self._request.page_token = self._response.next_page_token
+            self._response = self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
+            yield self._response
+
+    def __iter__(self) -> Iterator[data_taxonomy.DataAttribute]:
+        for page in self.pages:
+            yield from page.data_attributes
+
+    def __repr__(self) -> str:
+        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
+
+
+class ListDataAttributesAsyncPager:
+    """A pager for iterating through ``list_data_attributes`` requests.
+
+    This class thinly wraps an initial
+    :class:`google.cloud.dataplex_v1.types.ListDataAttributesResponse` object, and
+    provides an ``__aiter__`` method to iterate through its
+    ``data_attributes`` field.
+
+    If there are more pages, the ``__aiter__`` method will make additional
+    ``ListDataAttributes`` requests and continue to iterate
+    through the ``data_attributes`` field on the
+    corresponding responses.
+
+    All the usual :class:`google.cloud.dataplex_v1.types.ListDataAttributesResponse`
+    attributes are available on the pager. If multiple requests are made, only
+    the most recent response is retained, and thus used for attribute lookup.
+    """
+    def __init__(self,
+            method: Callable[..., Awaitable[data_taxonomy.ListDataAttributesResponse]],
+            request: data_taxonomy.ListDataAttributesRequest,
+            response: data_taxonomy.ListDataAttributesResponse,
+            *,
+            retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = ()):
+        """Instantiates the pager.
+
+        Args:
+            method (Callable): The method that was originally called, and
+                which instantiated this pager.
+            request (google.cloud.dataplex_v1.types.ListDataAttributesRequest):
+                The initial request object.
+            response (google.cloud.dataplex_v1.types.ListDataAttributesResponse):
+                The initial response object.
+            retry (google.api_core.retry.AsyncRetry): Designation of what errors,
+                if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        self._method = method
+        self._request = data_taxonomy.ListDataAttributesRequest(request)
+        self._response = response
+        self._retry = retry
+        self._timeout = timeout
+        self._metadata = metadata
+
+    def __getattr__(self, name: str) -> Any:
+        return getattr(self._response, name)
+
+    @property
+    async def pages(self) -> AsyncIterator[data_taxonomy.ListDataAttributesResponse]:
+        yield self._response
+        while self._response.next_page_token:
+            self._request.page_token = self._response.next_page_token
+            self._response = await self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
+            yield self._response
+    def __aiter__(self) -> AsyncIterator[data_taxonomy.DataAttribute]:
+        async def async_generator():
+            async for page in self.pages:
+                for response in page.data_attributes:
+                    yield response
+
+        return async_generator()
+
+    def __repr__(self) -> str:
+        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_taxonomy_service/transports/README.rst b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_taxonomy_service/transports/README.rst
new file mode 100644
index 000000000000..5c194fc01362
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_taxonomy_service/transports/README.rst
@@ -0,0 +1,9 @@
+
+transport inheritance structure
+_______________________________
+
+`DataTaxonomyServiceTransport` is the ABC for all transports.
+- public child `DataTaxonomyServiceGrpcTransport` for sync gRPC transport (defined in `grpc.py`).
+- public child `DataTaxonomyServiceGrpcAsyncIOTransport` for async gRPC transport (defined in `grpc_asyncio.py`).
+- private child `_BaseDataTaxonomyServiceRestTransport` for base REST transport with inner classes `_BaseMETHOD` (defined in `rest_base.py`).
+- public child `DataTaxonomyServiceRestTransport` for sync REST transport with inner classes `METHOD` derived from the parent's corresponding `_BaseMETHOD` classes (defined in `rest.py`).
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_taxonomy_service/transports/__init__.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_taxonomy_service/transports/__init__.py
new file mode 100644
index 000000000000..aeab503c70d4
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_taxonomy_service/transports/__init__.py
@@ -0,0 +1,33 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from collections import OrderedDict
+from typing import Dict, Type
+
+from .base import DataTaxonomyServiceTransport
+from .grpc import DataTaxonomyServiceGrpcTransport
+from .grpc_asyncio import DataTaxonomyServiceGrpcAsyncIOTransport
+
+
+# Compile a registry of transports.
+_transport_registry = OrderedDict()  # type: Dict[str, Type[DataTaxonomyServiceTransport]]
+_transport_registry['grpc'] = DataTaxonomyServiceGrpcTransport
+_transport_registry['grpc_asyncio'] = DataTaxonomyServiceGrpcAsyncIOTransport
+
+__all__ = (
+    'DataTaxonomyServiceTransport',
+    'DataTaxonomyServiceGrpcTransport',
+    'DataTaxonomyServiceGrpcAsyncIOTransport',
+)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_taxonomy_service/transports/base.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_taxonomy_service/transports/base.py
new file mode 100644
index 000000000000..526e35b387b1
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_taxonomy_service/transports/base.py
@@ -0,0 +1,443 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+import abc
+from typing import Awaitable, Callable, Dict, Optional, Sequence, Union
+
+from google.cloud.dataplex_v1 import gapic_version as package_version
+
+import google.auth  # type: ignore
+import google.api_core
+from google.api_core import exceptions as core_exceptions
+from google.api_core import gapic_v1
+from google.api_core import retry as retries
+from google.api_core import operations_v1
+from google.auth import credentials as ga_credentials  # type: ignore
+from google.oauth2 import service_account # type: ignore
+
+from google.cloud.dataplex_v1.types import data_taxonomy
+from google.cloud.dataplex_v1.types import data_taxonomy as gcd_data_taxonomy
+from google.cloud.location import locations_pb2 # type: ignore
+from google.iam.v1 import iam_policy_pb2  # type: ignore
+from google.iam.v1 import policy_pb2  # type: ignore
+from google.longrunning import operations_pb2 # type: ignore
+
+DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(gapic_version=package_version.__version__)
+
+
+class DataTaxonomyServiceTransport(abc.ABC):
+    """Abstract transport class for DataTaxonomyService."""
+
+    AUTH_SCOPES = (
+        'https://www.googleapis.com/auth/cloud-platform',
+    )
+
+    DEFAULT_HOST: str = 'dataplex.googleapis.com'
+    def __init__(
+            self, *,
+            host: str = DEFAULT_HOST,
+            credentials: Optional[ga_credentials.Credentials] = None,
+            credentials_file: Optional[str] = None,
+            scopes: Optional[Sequence[str]] = None,
+            quota_project_id: Optional[str] = None,
+            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
+            always_use_jwt_access: Optional[bool] = False,
+            api_audience: Optional[str] = None,
+            **kwargs,
+            ) -> None:
+        """Instantiate the transport.
+
+        Args:
+            host (Optional[str]):
+                 The hostname to connect to (default: 'dataplex.googleapis.com').
+            credentials (Optional[google.auth.credentials.Credentials]): The
+                authorization credentials to attach to requests. These
+                credentials identify the application to the service; if none
+                are specified, the client will attempt to ascertain the
+                credentials from the environment.
+            credentials_file (Optional[str]): A file with credentials that can
+                be loaded with :func:`google.auth.load_credentials_from_file`.
+                This argument is mutually exclusive with credentials.
+            scopes (Optional[Sequence[str]]): A list of scopes.
+            quota_project_id (Optional[str]): An optional project to use for billing
+                and quota.
+            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
+                The client info used to send a user-agent string along with
+                API requests. If ``None``, then default info will be used.
+                Generally, you only need to set this if you're developing
+                your own client library.
+            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
+                be used for service account credentials.
+        """
+
+        scopes_kwargs = {"scopes": scopes, "default_scopes": self.AUTH_SCOPES}
+
+        # Save the scopes.
+        self._scopes = scopes
+        if not hasattr(self, "_ignore_credentials"):
+            self._ignore_credentials: bool = False
+
+        # If no credentials are provided, then determine the appropriate
+        # defaults.
+        if credentials and credentials_file:
+            raise core_exceptions.DuplicateCredentialArgs("'credentials_file' and 'credentials' are mutually exclusive")
+
+        if credentials_file is not None:
+            credentials, _ = google.auth.load_credentials_from_file(
+                                credentials_file,
+                                **scopes_kwargs,
+                                quota_project_id=quota_project_id
+                            )
+        elif credentials is None and not self._ignore_credentials:
+            credentials, _ = google.auth.default(**scopes_kwargs, quota_project_id=quota_project_id)
+            # Don't apply audience if the credentials file passed from user.
+            if hasattr(credentials, "with_gdch_audience"):
+                credentials = credentials.with_gdch_audience(api_audience if api_audience else host)
+
+        # If the credentials are service account credentials, then always try to use self signed JWT.
+        if always_use_jwt_access and isinstance(credentials, service_account.Credentials) and hasattr(service_account.Credentials, "with_always_use_jwt_access"):
+            credentials = credentials.with_always_use_jwt_access(True)
+
+        # Save the credentials.
+        self._credentials = credentials
+
+        # Save the hostname. Default to port 443 (HTTPS) if none is specified.
+        if ':' not in host:
+            host += ':443'
+        self._host = host
+
+    @property
+    def host(self):
+        return self._host
+
+    def _prep_wrapped_messages(self, client_info):
+        # Precompute the wrapped methods.
+        self._wrapped_methods = {
+            self.create_data_taxonomy: gapic_v1.method.wrap_method(
+                self.create_data_taxonomy,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.update_data_taxonomy: gapic_v1.method.wrap_method(
+                self.update_data_taxonomy,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.delete_data_taxonomy: gapic_v1.method.wrap_method(
+                self.delete_data_taxonomy,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.list_data_taxonomies: gapic_v1.method.wrap_method(
+                self.list_data_taxonomies,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.get_data_taxonomy: gapic_v1.method.wrap_method(
+                self.get_data_taxonomy,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.create_data_attribute_binding: gapic_v1.method.wrap_method(
+                self.create_data_attribute_binding,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.update_data_attribute_binding: gapic_v1.method.wrap_method(
+                self.update_data_attribute_binding,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.delete_data_attribute_binding: gapic_v1.method.wrap_method(
+                self.delete_data_attribute_binding,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.list_data_attribute_bindings: gapic_v1.method.wrap_method(
+                self.list_data_attribute_bindings,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.get_data_attribute_binding: gapic_v1.method.wrap_method(
+                self.get_data_attribute_binding,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.create_data_attribute: gapic_v1.method.wrap_method(
+                self.create_data_attribute,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.update_data_attribute: gapic_v1.method.wrap_method(
+                self.update_data_attribute,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.delete_data_attribute: gapic_v1.method.wrap_method(
+                self.delete_data_attribute,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.list_data_attributes: gapic_v1.method.wrap_method(
+                self.list_data_attributes,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.get_data_attribute: gapic_v1.method.wrap_method(
+                self.get_data_attribute,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.get_location: gapic_v1.method.wrap_method(
+                self.get_location,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.list_locations: gapic_v1.method.wrap_method(
+                self.list_locations,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.cancel_operation: gapic_v1.method.wrap_method(
+                self.cancel_operation,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.delete_operation: gapic_v1.method.wrap_method(
+                self.delete_operation,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.get_operation: gapic_v1.method.wrap_method(
+                self.get_operation,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.list_operations: gapic_v1.method.wrap_method(
+                self.list_operations,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+         }
+
+    def close(self):
+        """Closes resources associated with the transport.
+
+       .. warning::
+            Only call this method if the transport is NOT shared
+            with other clients - this may cause errors in other clients!
+        """
+        raise NotImplementedError()
+
+    @property
+    def operations_client(self):
+        """Return the client designed to process long-running operations."""
+        raise NotImplementedError()
+
+    @property
+    def create_data_taxonomy(self) -> Callable[
+            [gcd_data_taxonomy.CreateDataTaxonomyRequest],
+            Union[
+                operations_pb2.Operation,
+                Awaitable[operations_pb2.Operation]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def update_data_taxonomy(self) -> Callable[
+            [gcd_data_taxonomy.UpdateDataTaxonomyRequest],
+            Union[
+                operations_pb2.Operation,
+                Awaitable[operations_pb2.Operation]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def delete_data_taxonomy(self) -> Callable[
+            [data_taxonomy.DeleteDataTaxonomyRequest],
+            Union[
+                operations_pb2.Operation,
+                Awaitable[operations_pb2.Operation]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def list_data_taxonomies(self) -> Callable[
+            [data_taxonomy.ListDataTaxonomiesRequest],
+            Union[
+                data_taxonomy.ListDataTaxonomiesResponse,
+                Awaitable[data_taxonomy.ListDataTaxonomiesResponse]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def get_data_taxonomy(self) -> Callable[
+            [data_taxonomy.GetDataTaxonomyRequest],
+            Union[
+                data_taxonomy.DataTaxonomy,
+                Awaitable[data_taxonomy.DataTaxonomy]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def create_data_attribute_binding(self) -> Callable[
+            [data_taxonomy.CreateDataAttributeBindingRequest],
+            Union[
+                operations_pb2.Operation,
+                Awaitable[operations_pb2.Operation]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def update_data_attribute_binding(self) -> Callable[
+            [data_taxonomy.UpdateDataAttributeBindingRequest],
+            Union[
+                operations_pb2.Operation,
+                Awaitable[operations_pb2.Operation]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def delete_data_attribute_binding(self) -> Callable[
+            [data_taxonomy.DeleteDataAttributeBindingRequest],
+            Union[
+                operations_pb2.Operation,
+                Awaitable[operations_pb2.Operation]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def list_data_attribute_bindings(self) -> Callable[
+            [data_taxonomy.ListDataAttributeBindingsRequest],
+            Union[
+                data_taxonomy.ListDataAttributeBindingsResponse,
+                Awaitable[data_taxonomy.ListDataAttributeBindingsResponse]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def get_data_attribute_binding(self) -> Callable[
+            [data_taxonomy.GetDataAttributeBindingRequest],
+            Union[
+                data_taxonomy.DataAttributeBinding,
+                Awaitable[data_taxonomy.DataAttributeBinding]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def create_data_attribute(self) -> Callable[
+            [data_taxonomy.CreateDataAttributeRequest],
+            Union[
+                operations_pb2.Operation,
+                Awaitable[operations_pb2.Operation]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def update_data_attribute(self) -> Callable[
+            [data_taxonomy.UpdateDataAttributeRequest],
+            Union[
+                operations_pb2.Operation,
+                Awaitable[operations_pb2.Operation]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def delete_data_attribute(self) -> Callable[
+            [data_taxonomy.DeleteDataAttributeRequest],
+            Union[
+                operations_pb2.Operation,
+                Awaitable[operations_pb2.Operation]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def list_data_attributes(self) -> Callable[
+            [data_taxonomy.ListDataAttributesRequest],
+            Union[
+                data_taxonomy.ListDataAttributesResponse,
+                Awaitable[data_taxonomy.ListDataAttributesResponse]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def get_data_attribute(self) -> Callable[
+            [data_taxonomy.GetDataAttributeRequest],
+            Union[
+                data_taxonomy.DataAttribute,
+                Awaitable[data_taxonomy.DataAttribute]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def list_operations(
+        self,
+    ) -> Callable[
+        [operations_pb2.ListOperationsRequest],
+        Union[operations_pb2.ListOperationsResponse, Awaitable[operations_pb2.ListOperationsResponse]],
+    ]:
+        raise NotImplementedError()
+
+    @property
+    def get_operation(
+        self,
+    ) -> Callable[
+        [operations_pb2.GetOperationRequest],
+        Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]],
+    ]:
+        raise NotImplementedError()
+
+    @property
+    def cancel_operation(
+        self,
+    ) -> Callable[
+        [operations_pb2.CancelOperationRequest],
+        None,
+    ]:
+        raise NotImplementedError()
+
+    @property
+    def delete_operation(
+        self,
+    ) -> Callable[
+        [operations_pb2.DeleteOperationRequest],
+        None,
+    ]:
+        raise NotImplementedError()
+
+    @property
+    def get_location(self,
+    ) -> Callable[
+        [locations_pb2.GetLocationRequest],
+        Union[locations_pb2.Location, Awaitable[locations_pb2.Location]],
+    ]:
+        raise NotImplementedError()
+
+    @property
+    def list_locations(self,
+    ) -> Callable[
+        [locations_pb2.ListLocationsRequest],
+        Union[locations_pb2.ListLocationsResponse, Awaitable[locations_pb2.ListLocationsResponse]],
+    ]:
+        raise NotImplementedError()
+
+    @property
+    def kind(self) -> str:
+        raise NotImplementedError()
+
+
+__all__ = (
+    'DataTaxonomyServiceTransport',
+)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_taxonomy_service/transports/grpc.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_taxonomy_service/transports/grpc.py
new file mode 100644
index 000000000000..d7703acdda72
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_taxonomy_service/transports/grpc.py
@@ -0,0 +1,773 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+import warnings
+from typing import Callable, Dict, Optional, Sequence, Tuple, Union
+
+from google.api_core import grpc_helpers
+from google.api_core import operations_v1
+from google.api_core import gapic_v1
+import google.auth                         # type: ignore
+from google.auth import credentials as ga_credentials  # type: ignore
+from google.auth.transport.grpc import SslCredentials  # type: ignore
+
+import grpc  # type: ignore
+
+from google.cloud.dataplex_v1.types import data_taxonomy
+from google.cloud.dataplex_v1.types import data_taxonomy as gcd_data_taxonomy
+from google.cloud.location import locations_pb2 # type: ignore
+from google.iam.v1 import iam_policy_pb2  # type: ignore
+from google.iam.v1 import policy_pb2  # type: ignore
+from google.longrunning import operations_pb2 # type: ignore
+from .base import DataTaxonomyServiceTransport, DEFAULT_CLIENT_INFO
+
+
+class DataTaxonomyServiceGrpcTransport(DataTaxonomyServiceTransport):
+    """gRPC backend transport for DataTaxonomyService.
+
+    DataTaxonomyService enables attribute-based governance. The
+    resources currently offered include DataTaxonomy and
+    DataAttribute.
+
+    This class defines the same methods as the primary client, so the
+    primary client can load the underlying transport implementation
+    and call it.
+
+    It sends protocol buffers over the wire using gRPC (which is built on
+    top of HTTP/2); the ``grpcio`` package must be installed.
+    """
+    _stubs: Dict[str, Callable]
+
+    def __init__(self, *,
+            host: str = 'dataplex.googleapis.com',
+            credentials: Optional[ga_credentials.Credentials] = None,
+            credentials_file: Optional[str] = None,
+            scopes: Optional[Sequence[str]] = None,
+            channel: Optional[Union[grpc.Channel, Callable[..., grpc.Channel]]] = None,
+            api_mtls_endpoint: Optional[str] = None,
+            client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
+            ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None,
+            client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
+            quota_project_id: Optional[str] = None,
+            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
+            always_use_jwt_access: Optional[bool] = False,
+            api_audience: Optional[str] = None,
+            ) -> None:
+        """Instantiate the transport.
+
+        Args:
+            host (Optional[str]):
+                 The hostname to connect to (default: 'dataplex.googleapis.com').
+            credentials (Optional[google.auth.credentials.Credentials]): The
+                authorization credentials to attach to requests. These
+                credentials identify the application to the service; if none
+                are specified, the client will attempt to ascertain the
+                credentials from the environment.
+                This argument is ignored if a ``channel`` instance is provided.
+            credentials_file (Optional[str]): A file with credentials that can
+                be loaded with :func:`google.auth.load_credentials_from_file`.
+                This argument is ignored if a ``channel`` instance is provided.
+            scopes (Optional(Sequence[str])): A list of scopes. This argument is
+                ignored if a ``channel`` instance is provided.
+            channel (Optional[Union[grpc.Channel, Callable[..., grpc.Channel]]]):
+                A ``Channel`` instance through which to make calls, or a Callable
+                that constructs and returns one. If set to None, ``self.create_channel``
+                is used to create the channel. If a Callable is given, it will be called
+                with the same arguments as used in ``self.create_channel``.
+            api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint.
+                If provided, it overrides the ``host`` argument and tries to create
+                a mutual TLS channel with client SSL credentials from
+                ``client_cert_source`` or application default SSL credentials.
+            client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]):
+                Deprecated. A callback to provide client SSL certificate bytes and
+                private key bytes, both in PEM format. It is ignored if
+                ``api_mtls_endpoint`` is None.
+            ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials
+                for the grpc channel. It is ignored if a ``channel`` instance is provided.
+            client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]):
+                A callback to provide client certificate bytes and private key bytes,
+                both in PEM format. It is used to configure a mutual TLS channel. It is
+                ignored if a ``channel`` instance or ``ssl_channel_credentials`` is provided.
+            quota_project_id (Optional[str]): An optional project to use for billing
+                and quota.
+            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
+                The client info used to send a user-agent string along with
+                API requests. If ``None``, then default info will be used.
+                Generally, you only need to set this if you're developing
+                your own client library.
+            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
+                be used for service account credentials.
+
+        Raises:
+          google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport
+              creation failed for any reason.
+          google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials``
+              and ``credentials_file`` are passed.
+        """
+        self._grpc_channel = None
+        self._ssl_channel_credentials = ssl_channel_credentials
+        self._stubs: Dict[str, Callable] = {}
+        self._operations_client: Optional[operations_v1.OperationsClient] = None
+
+        if api_mtls_endpoint:
+            warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning)
+        if client_cert_source:
+            warnings.warn("client_cert_source is deprecated", DeprecationWarning)
+
+        if isinstance(channel, grpc.Channel):
+            # Ignore credentials if a channel was passed.
+            credentials = None
+            self._ignore_credentials = True
+            # If a channel was explicitly provided, set it.
+            self._grpc_channel = channel
+            self._ssl_channel_credentials = None
+
+        else:
+            if api_mtls_endpoint:
+                host = api_mtls_endpoint
+
+                # Create SSL credentials with client_cert_source or application
+                # default SSL credentials.
+                if client_cert_source:
+                    cert, key = client_cert_source()
+                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
+                        certificate_chain=cert, private_key=key
+                    )
+                else:
+                    self._ssl_channel_credentials = SslCredentials().ssl_credentials
+
+            else:
+                if client_cert_source_for_mtls and not ssl_channel_credentials:
+                    cert, key = client_cert_source_for_mtls()
+                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
+                        certificate_chain=cert, private_key=key
+                    )
+
+        # The base transport sets the host, credentials and scopes
+        super().__init__(
+            host=host,
+            credentials=credentials,
+            credentials_file=credentials_file,
+            scopes=scopes,
+            quota_project_id=quota_project_id,
+            client_info=client_info,
+            always_use_jwt_access=always_use_jwt_access,
+            api_audience=api_audience,
+        )
+
+        if not self._grpc_channel:
+            # initialize with the provided callable or the default channel
+            channel_init = channel or type(self).create_channel
+            self._grpc_channel = channel_init(
+                self._host,
+                # use the credentials which are saved
+                credentials=self._credentials,
+                # Set ``credentials_file`` to ``None`` here as
+                # the credentials that we saved earlier should be used.
+                credentials_file=None,
+                scopes=self._scopes,
+                ssl_credentials=self._ssl_channel_credentials,
+                quota_project_id=quota_project_id,
+                options=[
+                    ("grpc.max_send_message_length", -1),
+                    ("grpc.max_receive_message_length", -1),
+                ],
+            )
+
+        # Wrap messages. This must be done after self._grpc_channel exists
+        self._prep_wrapped_messages(client_info)
+
+    @classmethod
+    def create_channel(cls,
+                       host: str = 'dataplex.googleapis.com',
+                       credentials: Optional[ga_credentials.Credentials] = None,
+                       credentials_file: Optional[str] = None,
+                       scopes: Optional[Sequence[str]] = None,
+                       quota_project_id: Optional[str] = None,
+                       **kwargs) -> grpc.Channel:
+        """Create and return a gRPC channel object.
+        Args:
+            host (Optional[str]): The host for the channel to use.
+            credentials (Optional[~.Credentials]): The
+                authorization credentials to attach to requests. These
+                credentials identify this application to the service. If
+                none are specified, the client will attempt to ascertain
+                the credentials from the environment.
+            credentials_file (Optional[str]): A file with credentials that can
+                be loaded with :func:`google.auth.load_credentials_from_file`.
+                This argument is mutually exclusive with credentials.
+            scopes (Optional[Sequence[str]]): A optional list of scopes needed for this
+                service. These are only used when credentials are not specified and
+                are passed to :func:`google.auth.default`.
+            quota_project_id (Optional[str]): An optional project to use for billing
+                and quota.
+            kwargs (Optional[dict]): Keyword arguments, which are passed to the
+                channel creation.
+        Returns:
+            grpc.Channel: A gRPC channel object.
+
+        Raises:
+            google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials``
+              and ``credentials_file`` are passed.
+        """
+
+        return grpc_helpers.create_channel(
+            host,
+            credentials=credentials,
+            credentials_file=credentials_file,
+            quota_project_id=quota_project_id,
+            default_scopes=cls.AUTH_SCOPES,
+            scopes=scopes,
+            default_host=cls.DEFAULT_HOST,
+            **kwargs
+        )
+
+    @property
+    def grpc_channel(self) -> grpc.Channel:
+        """Return the channel designed to connect to this service.
+        """
+        return self._grpc_channel
+
+    @property
+    def operations_client(self) -> operations_v1.OperationsClient:
+        """Create the client designed to process long-running operations.
+
+        This property caches on the instance; repeated calls return the same
+        client.
+        """
+        # Quick check: Only create a new client if we do not already have one.
+        if self._operations_client is None:
+            self._operations_client = operations_v1.OperationsClient(
+                self.grpc_channel
+            )
+
+        # Return the client from cache.
+        return self._operations_client
+
+    @property
+    def create_data_taxonomy(self) -> Callable[
+            [gcd_data_taxonomy.CreateDataTaxonomyRequest],
+            operations_pb2.Operation]:
+        r"""Return a callable for the create data taxonomy method over gRPC.
+
+        Create a DataTaxonomy resource.
+
+        Returns:
+            Callable[[~.CreateDataTaxonomyRequest],
+                    ~.Operation]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'create_data_taxonomy' not in self._stubs:
+            self._stubs['create_data_taxonomy'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataTaxonomyService/CreateDataTaxonomy',
+                request_serializer=gcd_data_taxonomy.CreateDataTaxonomyRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['create_data_taxonomy']
+
+    @property
+    def update_data_taxonomy(self) -> Callable[
+            [gcd_data_taxonomy.UpdateDataTaxonomyRequest],
+            operations_pb2.Operation]:
+        r"""Return a callable for the update data taxonomy method over gRPC.
+
+        Updates a DataTaxonomy resource.
+
+        Returns:
+            Callable[[~.UpdateDataTaxonomyRequest],
+                    ~.Operation]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'update_data_taxonomy' not in self._stubs:
+            self._stubs['update_data_taxonomy'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataTaxonomyService/UpdateDataTaxonomy',
+                request_serializer=gcd_data_taxonomy.UpdateDataTaxonomyRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['update_data_taxonomy']
+
+    @property
+    def delete_data_taxonomy(self) -> Callable[
+            [data_taxonomy.DeleteDataTaxonomyRequest],
+            operations_pb2.Operation]:
+        r"""Return a callable for the delete data taxonomy method over gRPC.
+
+        Deletes a DataTaxonomy resource. All attributes
+        within the DataTaxonomy must be deleted before the
+        DataTaxonomy can be deleted.
+
+        Returns:
+            Callable[[~.DeleteDataTaxonomyRequest],
+                    ~.Operation]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'delete_data_taxonomy' not in self._stubs:
+            self._stubs['delete_data_taxonomy'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataTaxonomyService/DeleteDataTaxonomy',
+                request_serializer=data_taxonomy.DeleteDataTaxonomyRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['delete_data_taxonomy']
+
+    @property
+    def list_data_taxonomies(self) -> Callable[
+            [data_taxonomy.ListDataTaxonomiesRequest],
+            data_taxonomy.ListDataTaxonomiesResponse]:
+        r"""Return a callable for the list data taxonomies method over gRPC.
+
+        Lists DataTaxonomy resources in a project and
+        location.
+
+        Returns:
+            Callable[[~.ListDataTaxonomiesRequest],
+                    ~.ListDataTaxonomiesResponse]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'list_data_taxonomies' not in self._stubs:
+            self._stubs['list_data_taxonomies'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataTaxonomyService/ListDataTaxonomies',
+                request_serializer=data_taxonomy.ListDataTaxonomiesRequest.serialize,
+                response_deserializer=data_taxonomy.ListDataTaxonomiesResponse.deserialize,
+            )
+        return self._stubs['list_data_taxonomies']
+
+    @property
+    def get_data_taxonomy(self) -> Callable[
+            [data_taxonomy.GetDataTaxonomyRequest],
+            data_taxonomy.DataTaxonomy]:
+        r"""Return a callable for the get data taxonomy method over gRPC.
+
+        Retrieves a DataTaxonomy resource.
+
+        Returns:
+            Callable[[~.GetDataTaxonomyRequest],
+                    ~.DataTaxonomy]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'get_data_taxonomy' not in self._stubs:
+            self._stubs['get_data_taxonomy'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataTaxonomyService/GetDataTaxonomy',
+                request_serializer=data_taxonomy.GetDataTaxonomyRequest.serialize,
+                response_deserializer=data_taxonomy.DataTaxonomy.deserialize,
+            )
+        return self._stubs['get_data_taxonomy']
+
+    @property
+    def create_data_attribute_binding(self) -> Callable[
+            [data_taxonomy.CreateDataAttributeBindingRequest],
+            operations_pb2.Operation]:
+        r"""Return a callable for the create data attribute binding method over gRPC.
+
+        Create a DataAttributeBinding resource.
+
+        Returns:
+            Callable[[~.CreateDataAttributeBindingRequest],
+                    ~.Operation]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'create_data_attribute_binding' not in self._stubs:
+            self._stubs['create_data_attribute_binding'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataTaxonomyService/CreateDataAttributeBinding',
+                request_serializer=data_taxonomy.CreateDataAttributeBindingRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['create_data_attribute_binding']
+
+    @property
+    def update_data_attribute_binding(self) -> Callable[
+            [data_taxonomy.UpdateDataAttributeBindingRequest],
+            operations_pb2.Operation]:
+        r"""Return a callable for the update data attribute binding method over gRPC.
+
+        Updates a DataAttributeBinding resource.
+
+        Returns:
+            Callable[[~.UpdateDataAttributeBindingRequest],
+                    ~.Operation]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'update_data_attribute_binding' not in self._stubs:
+            self._stubs['update_data_attribute_binding'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataTaxonomyService/UpdateDataAttributeBinding',
+                request_serializer=data_taxonomy.UpdateDataAttributeBindingRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['update_data_attribute_binding']
+
+    @property
+    def delete_data_attribute_binding(self) -> Callable[
+            [data_taxonomy.DeleteDataAttributeBindingRequest],
+            operations_pb2.Operation]:
+        r"""Return a callable for the delete data attribute binding method over gRPC.
+
+        Deletes a DataAttributeBinding resource. All
+        attributes within the DataAttributeBinding must be
+        deleted before the DataAttributeBinding can be deleted.
+
+        Returns:
+            Callable[[~.DeleteDataAttributeBindingRequest],
+                    ~.Operation]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'delete_data_attribute_binding' not in self._stubs:
+            self._stubs['delete_data_attribute_binding'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataTaxonomyService/DeleteDataAttributeBinding',
+                request_serializer=data_taxonomy.DeleteDataAttributeBindingRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['delete_data_attribute_binding']
+
+    @property
+    def list_data_attribute_bindings(self) -> Callable[
+            [data_taxonomy.ListDataAttributeBindingsRequest],
+            data_taxonomy.ListDataAttributeBindingsResponse]:
+        r"""Return a callable for the list data attribute bindings method over gRPC.
+
+        Lists DataAttributeBinding resources in a project and
+        location.
+
+        Returns:
+            Callable[[~.ListDataAttributeBindingsRequest],
+                    ~.ListDataAttributeBindingsResponse]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'list_data_attribute_bindings' not in self._stubs:
+            self._stubs['list_data_attribute_bindings'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataTaxonomyService/ListDataAttributeBindings',
+                request_serializer=data_taxonomy.ListDataAttributeBindingsRequest.serialize,
+                response_deserializer=data_taxonomy.ListDataAttributeBindingsResponse.deserialize,
+            )
+        return self._stubs['list_data_attribute_bindings']
+
+    @property
+    def get_data_attribute_binding(self) -> Callable[
+            [data_taxonomy.GetDataAttributeBindingRequest],
+            data_taxonomy.DataAttributeBinding]:
+        r"""Return a callable for the get data attribute binding method over gRPC.
+
+        Retrieves a DataAttributeBinding resource.
+
+        Returns:
+            Callable[[~.GetDataAttributeBindingRequest],
+                    ~.DataAttributeBinding]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'get_data_attribute_binding' not in self._stubs:
+            self._stubs['get_data_attribute_binding'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataTaxonomyService/GetDataAttributeBinding',
+                request_serializer=data_taxonomy.GetDataAttributeBindingRequest.serialize,
+                response_deserializer=data_taxonomy.DataAttributeBinding.deserialize,
+            )
+        return self._stubs['get_data_attribute_binding']
+
+    @property
+    def create_data_attribute(self) -> Callable[
+            [data_taxonomy.CreateDataAttributeRequest],
+            operations_pb2.Operation]:
+        r"""Return a callable for the create data attribute method over gRPC.
+
+        Create a DataAttribute resource.
+
+        Returns:
+            Callable[[~.CreateDataAttributeRequest],
+                    ~.Operation]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'create_data_attribute' not in self._stubs:
+            self._stubs['create_data_attribute'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataTaxonomyService/CreateDataAttribute',
+                request_serializer=data_taxonomy.CreateDataAttributeRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['create_data_attribute']
+
+    @property
+    def update_data_attribute(self) -> Callable[
+            [data_taxonomy.UpdateDataAttributeRequest],
+            operations_pb2.Operation]:
+        r"""Return a callable for the update data attribute method over gRPC.
+
+        Updates a DataAttribute resource.
+
+        Returns:
+            Callable[[~.UpdateDataAttributeRequest],
+                    ~.Operation]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'update_data_attribute' not in self._stubs:
+            self._stubs['update_data_attribute'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataTaxonomyService/UpdateDataAttribute',
+                request_serializer=data_taxonomy.UpdateDataAttributeRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['update_data_attribute']
+
+    @property
+    def delete_data_attribute(self) -> Callable[
+            [data_taxonomy.DeleteDataAttributeRequest],
+            operations_pb2.Operation]:
+        r"""Return a callable for the delete data attribute method over gRPC.
+
+        Deletes a Data Attribute resource.
+
+        Returns:
+            Callable[[~.DeleteDataAttributeRequest],
+                    ~.Operation]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'delete_data_attribute' not in self._stubs:
+            self._stubs['delete_data_attribute'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataTaxonomyService/DeleteDataAttribute',
+                request_serializer=data_taxonomy.DeleteDataAttributeRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['delete_data_attribute']
+
+    @property
+    def list_data_attributes(self) -> Callable[
+            [data_taxonomy.ListDataAttributesRequest],
+            data_taxonomy.ListDataAttributesResponse]:
+        r"""Return a callable for the list data attributes method over gRPC.
+
+        Lists Data Attribute resources in a DataTaxonomy.
+
+        Returns:
+            Callable[[~.ListDataAttributesRequest],
+                    ~.ListDataAttributesResponse]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'list_data_attributes' not in self._stubs:
+            self._stubs['list_data_attributes'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataTaxonomyService/ListDataAttributes',
+                request_serializer=data_taxonomy.ListDataAttributesRequest.serialize,
+                response_deserializer=data_taxonomy.ListDataAttributesResponse.deserialize,
+            )
+        return self._stubs['list_data_attributes']
+
+    @property
+    def get_data_attribute(self) -> Callable[
+            [data_taxonomy.GetDataAttributeRequest],
+            data_taxonomy.DataAttribute]:
+        r"""Return a callable for the get data attribute method over gRPC.
+
+        Retrieves a Data Attribute resource.
+
+        Returns:
+            Callable[[~.GetDataAttributeRequest],
+                    ~.DataAttribute]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'get_data_attribute' not in self._stubs:
+            self._stubs['get_data_attribute'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataTaxonomyService/GetDataAttribute',
+                request_serializer=data_taxonomy.GetDataAttributeRequest.serialize,
+                response_deserializer=data_taxonomy.DataAttribute.deserialize,
+            )
+        return self._stubs['get_data_attribute']
+
+    def close(self):
+        self.grpc_channel.close()
+
+    @property
+    def delete_operation(
+        self,
+    ) -> Callable[[operations_pb2.DeleteOperationRequest], None]:
+        r"""Return a callable for the delete_operation method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "delete_operation" not in self._stubs:
+            self._stubs["delete_operation"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/DeleteOperation",
+                request_serializer=operations_pb2.DeleteOperationRequest.SerializeToString,
+                response_deserializer=None,
+            )
+        return self._stubs["delete_operation"]
+
+    @property
+    def cancel_operation(
+        self,
+    ) -> Callable[[operations_pb2.CancelOperationRequest], None]:
+        r"""Return a callable for the cancel_operation method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "cancel_operation" not in self._stubs:
+            self._stubs["cancel_operation"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/CancelOperation",
+                request_serializer=operations_pb2.CancelOperationRequest.SerializeToString,
+                response_deserializer=None,
+            )
+        return self._stubs["cancel_operation"]
+
+    @property
+    def get_operation(
+        self,
+    ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]:
+        r"""Return a callable for the get_operation method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "get_operation" not in self._stubs:
+            self._stubs["get_operation"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/GetOperation",
+                request_serializer=operations_pb2.GetOperationRequest.SerializeToString,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs["get_operation"]
+
+    @property
+    def list_operations(
+        self,
+    ) -> Callable[[operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse]:
+        r"""Return a callable for the list_operations method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "list_operations" not in self._stubs:
+            self._stubs["list_operations"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/ListOperations",
+                request_serializer=operations_pb2.ListOperationsRequest.SerializeToString,
+                response_deserializer=operations_pb2.ListOperationsResponse.FromString,
+            )
+        return self._stubs["list_operations"]
+
+    @property
+    def list_locations(
+        self,
+    ) -> Callable[[locations_pb2.ListLocationsRequest], locations_pb2.ListLocationsResponse]:
+        r"""Return a callable for the list locations method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "list_locations" not in self._stubs:
+            self._stubs["list_locations"] = self.grpc_channel.unary_unary(
+                "/google.cloud.location.Locations/ListLocations",
+                request_serializer=locations_pb2.ListLocationsRequest.SerializeToString,
+                response_deserializer=locations_pb2.ListLocationsResponse.FromString,
+            )
+        return self._stubs["list_locations"]
+
+    @property
+    def get_location(
+        self,
+    ) -> Callable[[locations_pb2.GetLocationRequest], locations_pb2.Location]:
+        r"""Return a callable for the list locations method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "get_location" not in self._stubs:
+            self._stubs["get_location"] = self.grpc_channel.unary_unary(
+                "/google.cloud.location.Locations/GetLocation",
+                request_serializer=locations_pb2.GetLocationRequest.SerializeToString,
+                response_deserializer=locations_pb2.Location.FromString,
+            )
+        return self._stubs["get_location"]
+
+    @property
+    def kind(self) -> str:
+        return "grpc"
+
+
+__all__ = (
+    'DataTaxonomyServiceGrpcTransport',
+)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_taxonomy_service/transports/grpc_asyncio.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_taxonomy_service/transports/grpc_asyncio.py
new file mode 100644
index 000000000000..a8b233e044c8
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_taxonomy_service/transports/grpc_asyncio.py
@@ -0,0 +1,894 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+import inspect
+import warnings
+from typing import Awaitable, Callable, Dict, Optional, Sequence, Tuple, Union
+
+from google.api_core import gapic_v1
+from google.api_core import grpc_helpers_async
+from google.api_core import exceptions as core_exceptions
+from google.api_core import retry_async as retries
+from google.api_core import operations_v1
+from google.auth import credentials as ga_credentials   # type: ignore
+from google.auth.transport.grpc import SslCredentials  # type: ignore
+
+import grpc                        # type: ignore
+from grpc.experimental import aio  # type: ignore
+
+from google.cloud.dataplex_v1.types import data_taxonomy
+from google.cloud.dataplex_v1.types import data_taxonomy as gcd_data_taxonomy
+from google.cloud.location import locations_pb2 # type: ignore
+from google.iam.v1 import iam_policy_pb2  # type: ignore
+from google.iam.v1 import policy_pb2  # type: ignore
+from google.longrunning import operations_pb2 # type: ignore
+from .base import DataTaxonomyServiceTransport, DEFAULT_CLIENT_INFO
+from .grpc import DataTaxonomyServiceGrpcTransport
+
+
+class DataTaxonomyServiceGrpcAsyncIOTransport(DataTaxonomyServiceTransport):
+    """gRPC AsyncIO backend transport for DataTaxonomyService.
+
+    DataTaxonomyService enables attribute-based governance. The
+    resources currently offered include DataTaxonomy and
+    DataAttribute.
+
+    This class defines the same methods as the primary client, so the
+    primary client can load the underlying transport implementation
+    and call it.
+
+    It sends protocol buffers over the wire using gRPC (which is built on
+    top of HTTP/2); the ``grpcio`` package must be installed.
+    """
+
+    _grpc_channel: aio.Channel
+    _stubs: Dict[str, Callable] = {}
+
+    @classmethod
+    def create_channel(cls,
+                       host: str = 'dataplex.googleapis.com',
+                       credentials: Optional[ga_credentials.Credentials] = None,
+                       credentials_file: Optional[str] = None,
+                       scopes: Optional[Sequence[str]] = None,
+                       quota_project_id: Optional[str] = None,
+                       **kwargs) -> aio.Channel:
+        """Create and return a gRPC AsyncIO channel object.
+        Args:
+            host (Optional[str]): The host for the channel to use.
+            credentials (Optional[~.Credentials]): The
+                authorization credentials to attach to requests. These
+                credentials identify this application to the service. If
+                none are specified, the client will attempt to ascertain
+                the credentials from the environment.
+            credentials_file (Optional[str]): A file with credentials that can
+                be loaded with :func:`google.auth.load_credentials_from_file`.
+            scopes (Optional[Sequence[str]]): A optional list of scopes needed for this
+                service. These are only used when credentials are not specified and
+                are passed to :func:`google.auth.default`.
+            quota_project_id (Optional[str]): An optional project to use for billing
+                and quota.
+            kwargs (Optional[dict]): Keyword arguments, which are passed to the
+                channel creation.
+        Returns:
+            aio.Channel: A gRPC AsyncIO channel object.
+        """
+
+        return grpc_helpers_async.create_channel(
+            host,
+            credentials=credentials,
+            credentials_file=credentials_file,
+            quota_project_id=quota_project_id,
+            default_scopes=cls.AUTH_SCOPES,
+            scopes=scopes,
+            default_host=cls.DEFAULT_HOST,
+            **kwargs
+        )
+
+    def __init__(self, *,
+            host: str = 'dataplex.googleapis.com',
+            credentials: Optional[ga_credentials.Credentials] = None,
+            credentials_file: Optional[str] = None,
+            scopes: Optional[Sequence[str]] = None,
+            channel: Optional[Union[aio.Channel, Callable[..., aio.Channel]]] = None,
+            api_mtls_endpoint: Optional[str] = None,
+            client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
+            ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None,
+            client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
+            quota_project_id: Optional[str] = None,
+            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
+            always_use_jwt_access: Optional[bool] = False,
+            api_audience: Optional[str] = None,
+            ) -> None:
+        """Instantiate the transport.
+
+        Args:
+            host (Optional[str]):
+                 The hostname to connect to (default: 'dataplex.googleapis.com').
+            credentials (Optional[google.auth.credentials.Credentials]): The
+                authorization credentials to attach to requests. These
+                credentials identify the application to the service; if none
+                are specified, the client will attempt to ascertain the
+                credentials from the environment.
+                This argument is ignored if a ``channel`` instance is provided.
+            credentials_file (Optional[str]): A file with credentials that can
+                be loaded with :func:`google.auth.load_credentials_from_file`.
+                This argument is ignored if a ``channel`` instance is provided.
+            scopes (Optional[Sequence[str]]): A optional list of scopes needed for this
+                service. These are only used when credentials are not specified and
+                are passed to :func:`google.auth.default`.
+            channel (Optional[Union[aio.Channel, Callable[..., aio.Channel]]]):
+                A ``Channel`` instance through which to make calls, or a Callable
+                that constructs and returns one. If set to None, ``self.create_channel``
+                is used to create the channel. If a Callable is given, it will be called
+                with the same arguments as used in ``self.create_channel``.
+            api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint.
+                If provided, it overrides the ``host`` argument and tries to create
+                a mutual TLS channel with client SSL credentials from
+                ``client_cert_source`` or application default SSL credentials.
+            client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]):
+                Deprecated. A callback to provide client SSL certificate bytes and
+                private key bytes, both in PEM format. It is ignored if
+                ``api_mtls_endpoint`` is None.
+            ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials
+                for the grpc channel. It is ignored if a ``channel`` instance is provided.
+            client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]):
+                A callback to provide client certificate bytes and private key bytes,
+                both in PEM format. It is used to configure a mutual TLS channel. It is
+                ignored if a ``channel`` instance or ``ssl_channel_credentials`` is provided.
+            quota_project_id (Optional[str]): An optional project to use for billing
+                and quota.
+            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
+                The client info used to send a user-agent string along with
+                API requests. If ``None``, then default info will be used.
+                Generally, you only need to set this if you're developing
+                your own client library.
+            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
+                be used for service account credentials.
+
+        Raises:
+            google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport
+              creation failed for any reason.
+          google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials``
+              and ``credentials_file`` are passed.
+        """
+        self._grpc_channel = None
+        self._ssl_channel_credentials = ssl_channel_credentials
+        self._stubs: Dict[str, Callable] = {}
+        self._operations_client: Optional[operations_v1.OperationsAsyncClient] = None
+
+        if api_mtls_endpoint:
+            warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning)
+        if client_cert_source:
+            warnings.warn("client_cert_source is deprecated", DeprecationWarning)
+
+        if isinstance(channel, aio.Channel):
+            # Ignore credentials if a channel was passed.
+            credentials = None
+            self._ignore_credentials = True
+            # If a channel was explicitly provided, set it.
+            self._grpc_channel = channel
+            self._ssl_channel_credentials = None
+        else:
+            if api_mtls_endpoint:
+                host = api_mtls_endpoint
+
+                # Create SSL credentials with client_cert_source or application
+                # default SSL credentials.
+                if client_cert_source:
+                    cert, key = client_cert_source()
+                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
+                        certificate_chain=cert, private_key=key
+                    )
+                else:
+                    self._ssl_channel_credentials = SslCredentials().ssl_credentials
+
+            else:
+                if client_cert_source_for_mtls and not ssl_channel_credentials:
+                    cert, key = client_cert_source_for_mtls()
+                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
+                        certificate_chain=cert, private_key=key
+                    )
+
+        # The base transport sets the host, credentials and scopes
+        super().__init__(
+            host=host,
+            credentials=credentials,
+            credentials_file=credentials_file,
+            scopes=scopes,
+            quota_project_id=quota_project_id,
+            client_info=client_info,
+            always_use_jwt_access=always_use_jwt_access,
+            api_audience=api_audience,
+        )
+
+        if not self._grpc_channel:
+            # initialize with the provided callable or the default channel
+            channel_init = channel or type(self).create_channel
+            self._grpc_channel = channel_init(
+                self._host,
+                # use the credentials which are saved
+                credentials=self._credentials,
+                # Set ``credentials_file`` to ``None`` here as
+                # the credentials that we saved earlier should be used.
+                credentials_file=None,
+                scopes=self._scopes,
+                ssl_credentials=self._ssl_channel_credentials,
+                quota_project_id=quota_project_id,
+                options=[
+                    ("grpc.max_send_message_length", -1),
+                    ("grpc.max_receive_message_length", -1),
+                ],
+            )
+
+        # Wrap messages. This must be done after self._grpc_channel exists
+        self._wrap_with_kind = "kind" in inspect.signature(gapic_v1.method_async.wrap_method).parameters
+        self._prep_wrapped_messages(client_info)
+
+    @property
+    def grpc_channel(self) -> aio.Channel:
+        """Create the channel designed to connect to this service.
+
+        This property caches on the instance; repeated calls return
+        the same channel.
+        """
+        # Return the channel from cache.
+        return self._grpc_channel
+
+    @property
+    def operations_client(self) -> operations_v1.OperationsAsyncClient:
+        """Create the client designed to process long-running operations.
+
+        This property caches on the instance; repeated calls return the same
+        client.
+        """
+        # Quick check: Only create a new client if we do not already have one.
+        if self._operations_client is None:
+            self._operations_client = operations_v1.OperationsAsyncClient(
+                self.grpc_channel
+            )
+
+        # Return the client from cache.
+        return self._operations_client
+
+    @property
+    def create_data_taxonomy(self) -> Callable[
+            [gcd_data_taxonomy.CreateDataTaxonomyRequest],
+            Awaitable[operations_pb2.Operation]]:
+        r"""Return a callable for the create data taxonomy method over gRPC.
+
+        Create a DataTaxonomy resource.
+
+        Returns:
+            Callable[[~.CreateDataTaxonomyRequest],
+                    Awaitable[~.Operation]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'create_data_taxonomy' not in self._stubs:
+            self._stubs['create_data_taxonomy'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataTaxonomyService/CreateDataTaxonomy',
+                request_serializer=gcd_data_taxonomy.CreateDataTaxonomyRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['create_data_taxonomy']
+
+    @property
+    def update_data_taxonomy(self) -> Callable[
+            [gcd_data_taxonomy.UpdateDataTaxonomyRequest],
+            Awaitable[operations_pb2.Operation]]:
+        r"""Return a callable for the update data taxonomy method over gRPC.
+
+        Updates a DataTaxonomy resource.
+
+        Returns:
+            Callable[[~.UpdateDataTaxonomyRequest],
+                    Awaitable[~.Operation]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'update_data_taxonomy' not in self._stubs:
+            self._stubs['update_data_taxonomy'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataTaxonomyService/UpdateDataTaxonomy',
+                request_serializer=gcd_data_taxonomy.UpdateDataTaxonomyRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['update_data_taxonomy']
+
+    @property
+    def delete_data_taxonomy(self) -> Callable[
+            [data_taxonomy.DeleteDataTaxonomyRequest],
+            Awaitable[operations_pb2.Operation]]:
+        r"""Return a callable for the delete data taxonomy method over gRPC.
+
+        Deletes a DataTaxonomy resource. All attributes
+        within the DataTaxonomy must be deleted before the
+        DataTaxonomy can be deleted.
+
+        Returns:
+            Callable[[~.DeleteDataTaxonomyRequest],
+                    Awaitable[~.Operation]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'delete_data_taxonomy' not in self._stubs:
+            self._stubs['delete_data_taxonomy'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataTaxonomyService/DeleteDataTaxonomy',
+                request_serializer=data_taxonomy.DeleteDataTaxonomyRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['delete_data_taxonomy']
+
+    @property
+    def list_data_taxonomies(self) -> Callable[
+            [data_taxonomy.ListDataTaxonomiesRequest],
+            Awaitable[data_taxonomy.ListDataTaxonomiesResponse]]:
+        r"""Return a callable for the list data taxonomies method over gRPC.
+
+        Lists DataTaxonomy resources in a project and
+        location.
+
+        Returns:
+            Callable[[~.ListDataTaxonomiesRequest],
+                    Awaitable[~.ListDataTaxonomiesResponse]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'list_data_taxonomies' not in self._stubs:
+            self._stubs['list_data_taxonomies'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataTaxonomyService/ListDataTaxonomies',
+                request_serializer=data_taxonomy.ListDataTaxonomiesRequest.serialize,
+                response_deserializer=data_taxonomy.ListDataTaxonomiesResponse.deserialize,
+            )
+        return self._stubs['list_data_taxonomies']
+
+    @property
+    def get_data_taxonomy(self) -> Callable[
+            [data_taxonomy.GetDataTaxonomyRequest],
+            Awaitable[data_taxonomy.DataTaxonomy]]:
+        r"""Return a callable for the get data taxonomy method over gRPC.
+
+        Retrieves a DataTaxonomy resource.
+
+        Returns:
+            Callable[[~.GetDataTaxonomyRequest],
+                    Awaitable[~.DataTaxonomy]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'get_data_taxonomy' not in self._stubs:
+            self._stubs['get_data_taxonomy'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataTaxonomyService/GetDataTaxonomy',
+                request_serializer=data_taxonomy.GetDataTaxonomyRequest.serialize,
+                response_deserializer=data_taxonomy.DataTaxonomy.deserialize,
+            )
+        return self._stubs['get_data_taxonomy']
+
+    @property
+    def create_data_attribute_binding(self) -> Callable[
+            [data_taxonomy.CreateDataAttributeBindingRequest],
+            Awaitable[operations_pb2.Operation]]:
+        r"""Return a callable for the create data attribute binding method over gRPC.
+
+        Create a DataAttributeBinding resource.
+
+        Returns:
+            Callable[[~.CreateDataAttributeBindingRequest],
+                    Awaitable[~.Operation]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'create_data_attribute_binding' not in self._stubs:
+            self._stubs['create_data_attribute_binding'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataTaxonomyService/CreateDataAttributeBinding',
+                request_serializer=data_taxonomy.CreateDataAttributeBindingRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['create_data_attribute_binding']
+
+    @property
+    def update_data_attribute_binding(self) -> Callable[
+            [data_taxonomy.UpdateDataAttributeBindingRequest],
+            Awaitable[operations_pb2.Operation]]:
+        r"""Return a callable for the update data attribute binding method over gRPC.
+
+        Updates a DataAttributeBinding resource.
+
+        Returns:
+            Callable[[~.UpdateDataAttributeBindingRequest],
+                    Awaitable[~.Operation]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'update_data_attribute_binding' not in self._stubs:
+            self._stubs['update_data_attribute_binding'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataTaxonomyService/UpdateDataAttributeBinding',
+                request_serializer=data_taxonomy.UpdateDataAttributeBindingRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['update_data_attribute_binding']
+
+    @property
+    def delete_data_attribute_binding(self) -> Callable[
+            [data_taxonomy.DeleteDataAttributeBindingRequest],
+            Awaitable[operations_pb2.Operation]]:
+        r"""Return a callable for the delete data attribute binding method over gRPC.
+
+        Deletes a DataAttributeBinding resource. All
+        attributes within the DataAttributeBinding must be
+        deleted before the DataAttributeBinding can be deleted.
+
+        Returns:
+            Callable[[~.DeleteDataAttributeBindingRequest],
+                    Awaitable[~.Operation]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'delete_data_attribute_binding' not in self._stubs:
+            self._stubs['delete_data_attribute_binding'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataTaxonomyService/DeleteDataAttributeBinding',
+                request_serializer=data_taxonomy.DeleteDataAttributeBindingRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['delete_data_attribute_binding']
+
+    @property
+    def list_data_attribute_bindings(self) -> Callable[
+            [data_taxonomy.ListDataAttributeBindingsRequest],
+            Awaitable[data_taxonomy.ListDataAttributeBindingsResponse]]:
+        r"""Return a callable for the list data attribute bindings method over gRPC.
+
+        Lists DataAttributeBinding resources in a project and
+        location.
+
+        Returns:
+            Callable[[~.ListDataAttributeBindingsRequest],
+                    Awaitable[~.ListDataAttributeBindingsResponse]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'list_data_attribute_bindings' not in self._stubs:
+            self._stubs['list_data_attribute_bindings'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataTaxonomyService/ListDataAttributeBindings',
+                request_serializer=data_taxonomy.ListDataAttributeBindingsRequest.serialize,
+                response_deserializer=data_taxonomy.ListDataAttributeBindingsResponse.deserialize,
+            )
+        return self._stubs['list_data_attribute_bindings']
+
+    @property
+    def get_data_attribute_binding(self) -> Callable[
+            [data_taxonomy.GetDataAttributeBindingRequest],
+            Awaitable[data_taxonomy.DataAttributeBinding]]:
+        r"""Return a callable for the get data attribute binding method over gRPC.
+
+        Retrieves a DataAttributeBinding resource.
+
+        Returns:
+            Callable[[~.GetDataAttributeBindingRequest],
+                    Awaitable[~.DataAttributeBinding]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'get_data_attribute_binding' not in self._stubs:
+            self._stubs['get_data_attribute_binding'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataTaxonomyService/GetDataAttributeBinding',
+                request_serializer=data_taxonomy.GetDataAttributeBindingRequest.serialize,
+                response_deserializer=data_taxonomy.DataAttributeBinding.deserialize,
+            )
+        return self._stubs['get_data_attribute_binding']
+
+    @property
+    def create_data_attribute(self) -> Callable[
+            [data_taxonomy.CreateDataAttributeRequest],
+            Awaitable[operations_pb2.Operation]]:
+        r"""Return a callable for the create data attribute method over gRPC.
+
+        Create a DataAttribute resource.
+
+        Returns:
+            Callable[[~.CreateDataAttributeRequest],
+                    Awaitable[~.Operation]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'create_data_attribute' not in self._stubs:
+            self._stubs['create_data_attribute'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataTaxonomyService/CreateDataAttribute',
+                request_serializer=data_taxonomy.CreateDataAttributeRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['create_data_attribute']
+
+    @property
+    def update_data_attribute(self) -> Callable[
+            [data_taxonomy.UpdateDataAttributeRequest],
+            Awaitable[operations_pb2.Operation]]:
+        r"""Return a callable for the update data attribute method over gRPC.
+
+        Updates a DataAttribute resource.
+
+        Returns:
+            Callable[[~.UpdateDataAttributeRequest],
+                    Awaitable[~.Operation]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'update_data_attribute' not in self._stubs:
+            self._stubs['update_data_attribute'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataTaxonomyService/UpdateDataAttribute',
+                request_serializer=data_taxonomy.UpdateDataAttributeRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['update_data_attribute']
+
+    @property
+    def delete_data_attribute(self) -> Callable[
+            [data_taxonomy.DeleteDataAttributeRequest],
+            Awaitable[operations_pb2.Operation]]:
+        r"""Return a callable for the delete data attribute method over gRPC.
+
+        Deletes a Data Attribute resource.
+
+        Returns:
+            Callable[[~.DeleteDataAttributeRequest],
+                    Awaitable[~.Operation]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'delete_data_attribute' not in self._stubs:
+            self._stubs['delete_data_attribute'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataTaxonomyService/DeleteDataAttribute',
+                request_serializer=data_taxonomy.DeleteDataAttributeRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['delete_data_attribute']
+
+    @property
+    def list_data_attributes(self) -> Callable[
+            [data_taxonomy.ListDataAttributesRequest],
+            Awaitable[data_taxonomy.ListDataAttributesResponse]]:
+        r"""Return a callable for the list data attributes method over gRPC.
+
+        Lists Data Attribute resources in a DataTaxonomy.
+
+        Returns:
+            Callable[[~.ListDataAttributesRequest],
+                    Awaitable[~.ListDataAttributesResponse]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'list_data_attributes' not in self._stubs:
+            self._stubs['list_data_attributes'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataTaxonomyService/ListDataAttributes',
+                request_serializer=data_taxonomy.ListDataAttributesRequest.serialize,
+                response_deserializer=data_taxonomy.ListDataAttributesResponse.deserialize,
+            )
+        return self._stubs['list_data_attributes']
+
+    @property
+    def get_data_attribute(self) -> Callable[
+            [data_taxonomy.GetDataAttributeRequest],
+            Awaitable[data_taxonomy.DataAttribute]]:
+        r"""Return a callable for the get data attribute method over gRPC.
+
+        Retrieves a Data Attribute resource.
+
+        Returns:
+            Callable[[~.GetDataAttributeRequest],
+                    Awaitable[~.DataAttribute]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'get_data_attribute' not in self._stubs:
+            self._stubs['get_data_attribute'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataTaxonomyService/GetDataAttribute',
+                request_serializer=data_taxonomy.GetDataAttributeRequest.serialize,
+                response_deserializer=data_taxonomy.DataAttribute.deserialize,
+            )
+        return self._stubs['get_data_attribute']
+
+    def _prep_wrapped_messages(self, client_info):
+        """ Precompute the wrapped methods, overriding the base class method to use async wrappers."""
+        self._wrapped_methods = {
+            self.create_data_taxonomy: self._wrap_method(
+                self.create_data_taxonomy,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.update_data_taxonomy: self._wrap_method(
+                self.update_data_taxonomy,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.delete_data_taxonomy: self._wrap_method(
+                self.delete_data_taxonomy,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.list_data_taxonomies: self._wrap_method(
+                self.list_data_taxonomies,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.get_data_taxonomy: self._wrap_method(
+                self.get_data_taxonomy,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.create_data_attribute_binding: self._wrap_method(
+                self.create_data_attribute_binding,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.update_data_attribute_binding: self._wrap_method(
+                self.update_data_attribute_binding,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.delete_data_attribute_binding: self._wrap_method(
+                self.delete_data_attribute_binding,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.list_data_attribute_bindings: self._wrap_method(
+                self.list_data_attribute_bindings,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.get_data_attribute_binding: self._wrap_method(
+                self.get_data_attribute_binding,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.create_data_attribute: self._wrap_method(
+                self.create_data_attribute,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.update_data_attribute: self._wrap_method(
+                self.update_data_attribute,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.delete_data_attribute: self._wrap_method(
+                self.delete_data_attribute,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.list_data_attributes: self._wrap_method(
+                self.list_data_attributes,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.get_data_attribute: self._wrap_method(
+                self.get_data_attribute,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.get_location: self._wrap_method(
+                self.get_location,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.list_locations: self._wrap_method(
+                self.list_locations,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.cancel_operation: self._wrap_method(
+                self.cancel_operation,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.delete_operation: self._wrap_method(
+                self.delete_operation,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.get_operation: self._wrap_method(
+                self.get_operation,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.list_operations: self._wrap_method(
+                self.list_operations,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+        }
+
+    def _wrap_method(self, func, *args, **kwargs):
+        if self._wrap_with_kind:  # pragma: NO COVER
+            kwargs["kind"] = self.kind
+        return gapic_v1.method_async.wrap_method(func, *args, **kwargs)
+
+    def close(self):
+        return self.grpc_channel.close()
+
+    @property
+    def kind(self) -> str:
+        return "grpc_asyncio"
+
+    @property
+    def delete_operation(
+        self,
+    ) -> Callable[[operations_pb2.DeleteOperationRequest], None]:
+        r"""Return a callable for the delete_operation method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "delete_operation" not in self._stubs:
+            self._stubs["delete_operation"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/DeleteOperation",
+                request_serializer=operations_pb2.DeleteOperationRequest.SerializeToString,
+                response_deserializer=None,
+            )
+        return self._stubs["delete_operation"]
+
+    @property
+    def cancel_operation(
+        self,
+    ) -> Callable[[operations_pb2.CancelOperationRequest], None]:
+        r"""Return a callable for the cancel_operation method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "cancel_operation" not in self._stubs:
+            self._stubs["cancel_operation"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/CancelOperation",
+                request_serializer=operations_pb2.CancelOperationRequest.SerializeToString,
+                response_deserializer=None,
+            )
+        return self._stubs["cancel_operation"]
+
+    @property
+    def get_operation(
+        self,
+    ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]:
+        r"""Return a callable for the get_operation method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "get_operation" not in self._stubs:
+            self._stubs["get_operation"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/GetOperation",
+                request_serializer=operations_pb2.GetOperationRequest.SerializeToString,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs["get_operation"]
+
+    @property
+    def list_operations(
+        self,
+    ) -> Callable[[operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse]:
+        r"""Return a callable for the list_operations method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "list_operations" not in self._stubs:
+            self._stubs["list_operations"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/ListOperations",
+                request_serializer=operations_pb2.ListOperationsRequest.SerializeToString,
+                response_deserializer=operations_pb2.ListOperationsResponse.FromString,
+            )
+        return self._stubs["list_operations"]
+
+    @property
+    def list_locations(
+        self,
+    ) -> Callable[[locations_pb2.ListLocationsRequest], locations_pb2.ListLocationsResponse]:
+        r"""Return a callable for the list locations method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "list_locations" not in self._stubs:
+            self._stubs["list_locations"] = self.grpc_channel.unary_unary(
+                "/google.cloud.location.Locations/ListLocations",
+                request_serializer=locations_pb2.ListLocationsRequest.SerializeToString,
+                response_deserializer=locations_pb2.ListLocationsResponse.FromString,
+            )
+        return self._stubs["list_locations"]
+
+    @property
+    def get_location(
+        self,
+    ) -> Callable[[locations_pb2.GetLocationRequest], locations_pb2.Location]:
+        r"""Return a callable for the list locations method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "get_location" not in self._stubs:
+            self._stubs["get_location"] = self.grpc_channel.unary_unary(
+                "/google.cloud.location.Locations/GetLocation",
+                request_serializer=locations_pb2.GetLocationRequest.SerializeToString,
+                response_deserializer=locations_pb2.Location.FromString,
+            )
+        return self._stubs["get_location"]
+
+
+__all__ = (
+    'DataTaxonomyServiceGrpcAsyncIOTransport',
+)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/dataplex_service/__init__.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/dataplex_service/__init__.py
new file mode 100644
index 000000000000..26191ecad898
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/dataplex_service/__init__.py
@@ -0,0 +1,22 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from .client import DataplexServiceClient
+from .async_client import DataplexServiceAsyncClient
+
+__all__ = (
+    'DataplexServiceClient',
+    'DataplexServiceAsyncClient',
+)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/dataplex_service/async_client.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/dataplex_service/async_client.py
new file mode 100644
index 000000000000..bcfddabeab46
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/dataplex_service/async_client.py
@@ -0,0 +1,4580 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from collections import OrderedDict
+import re
+from typing import Dict, Callable, Mapping, MutableMapping, MutableSequence, Optional, Sequence, Tuple, Type, Union
+
+from google.cloud.dataplex_v1 import gapic_version as package_version
+
+from google.api_core.client_options import ClientOptions
+from google.api_core import exceptions as core_exceptions
+from google.api_core import gapic_v1
+from google.api_core import retry_async as retries
+from google.auth import credentials as ga_credentials   # type: ignore
+from google.oauth2 import service_account              # type: ignore
+
+
+try:
+    OptionalRetry = Union[retries.AsyncRetry, gapic_v1.method._MethodDefault, None]
+except AttributeError:  # pragma: NO COVER
+    OptionalRetry = Union[retries.AsyncRetry, object, None]  # type: ignore
+
+from google.api_core import operation  # type: ignore
+from google.api_core import operation_async  # type: ignore
+from google.cloud.dataplex_v1.services.dataplex_service import pagers
+from google.cloud.dataplex_v1.types import analyze
+from google.cloud.dataplex_v1.types import resources
+from google.cloud.dataplex_v1.types import service
+from google.cloud.dataplex_v1.types import tasks
+from google.cloud.location import locations_pb2 # type: ignore
+from google.iam.v1 import iam_policy_pb2  # type: ignore
+from google.iam.v1 import policy_pb2  # type: ignore
+from google.longrunning import operations_pb2 # type: ignore
+from google.protobuf import empty_pb2  # type: ignore
+from google.protobuf import field_mask_pb2  # type: ignore
+from google.protobuf import timestamp_pb2  # type: ignore
+from .transports.base import DataplexServiceTransport, DEFAULT_CLIENT_INFO
+from .transports.grpc_asyncio import DataplexServiceGrpcAsyncIOTransport
+from .client import DataplexServiceClient
+
+
+class DataplexServiceAsyncClient:
+    """Dataplex service provides data lakes as a service. The
+    primary resources offered by this service are Lakes, Zones and
+    Assets which collectively allow a data administrator to
+    organize, manage, secure and catalog data across their
+    organization located across cloud projects in a variety of
+    storage systems including Cloud Storage and BigQuery.
+    """
+
+    _client: DataplexServiceClient
+
+    # Copy defaults from the synchronous client for use here.
+    # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead.
+    DEFAULT_ENDPOINT = DataplexServiceClient.DEFAULT_ENDPOINT
+    DEFAULT_MTLS_ENDPOINT = DataplexServiceClient.DEFAULT_MTLS_ENDPOINT
+    _DEFAULT_ENDPOINT_TEMPLATE = DataplexServiceClient._DEFAULT_ENDPOINT_TEMPLATE
+    _DEFAULT_UNIVERSE = DataplexServiceClient._DEFAULT_UNIVERSE
+
+    action_path = staticmethod(DataplexServiceClient.action_path)
+    parse_action_path = staticmethod(DataplexServiceClient.parse_action_path)
+    asset_path = staticmethod(DataplexServiceClient.asset_path)
+    parse_asset_path = staticmethod(DataplexServiceClient.parse_asset_path)
+    environment_path = staticmethod(DataplexServiceClient.environment_path)
+    parse_environment_path = staticmethod(DataplexServiceClient.parse_environment_path)
+    job_path = staticmethod(DataplexServiceClient.job_path)
+    parse_job_path = staticmethod(DataplexServiceClient.parse_job_path)
+    lake_path = staticmethod(DataplexServiceClient.lake_path)
+    parse_lake_path = staticmethod(DataplexServiceClient.parse_lake_path)
+    session_path = staticmethod(DataplexServiceClient.session_path)
+    parse_session_path = staticmethod(DataplexServiceClient.parse_session_path)
+    task_path = staticmethod(DataplexServiceClient.task_path)
+    parse_task_path = staticmethod(DataplexServiceClient.parse_task_path)
+    zone_path = staticmethod(DataplexServiceClient.zone_path)
+    parse_zone_path = staticmethod(DataplexServiceClient.parse_zone_path)
+    common_billing_account_path = staticmethod(DataplexServiceClient.common_billing_account_path)
+    parse_common_billing_account_path = staticmethod(DataplexServiceClient.parse_common_billing_account_path)
+    common_folder_path = staticmethod(DataplexServiceClient.common_folder_path)
+    parse_common_folder_path = staticmethod(DataplexServiceClient.parse_common_folder_path)
+    common_organization_path = staticmethod(DataplexServiceClient.common_organization_path)
+    parse_common_organization_path = staticmethod(DataplexServiceClient.parse_common_organization_path)
+    common_project_path = staticmethod(DataplexServiceClient.common_project_path)
+    parse_common_project_path = staticmethod(DataplexServiceClient.parse_common_project_path)
+    common_location_path = staticmethod(DataplexServiceClient.common_location_path)
+    parse_common_location_path = staticmethod(DataplexServiceClient.parse_common_location_path)
+
+    @classmethod
+    def from_service_account_info(cls, info: dict, *args, **kwargs):
+        """Creates an instance of this client using the provided credentials
+            info.
+
+        Args:
+            info (dict): The service account private key info.
+            args: Additional arguments to pass to the constructor.
+            kwargs: Additional arguments to pass to the constructor.
+
+        Returns:
+            DataplexServiceAsyncClient: The constructed client.
+        """
+        return DataplexServiceClient.from_service_account_info.__func__(DataplexServiceAsyncClient, info, *args, **kwargs)  # type: ignore
+
+    @classmethod
+    def from_service_account_file(cls, filename: str, *args, **kwargs):
+        """Creates an instance of this client using the provided credentials
+            file.
+
+        Args:
+            filename (str): The path to the service account private key json
+                file.
+            args: Additional arguments to pass to the constructor.
+            kwargs: Additional arguments to pass to the constructor.
+
+        Returns:
+            DataplexServiceAsyncClient: The constructed client.
+        """
+        return DataplexServiceClient.from_service_account_file.__func__(DataplexServiceAsyncClient, filename, *args, **kwargs)  # type: ignore
+
+    from_service_account_json = from_service_account_file
+
+    @classmethod
+    def get_mtls_endpoint_and_cert_source(cls, client_options: Optional[ClientOptions] = None):
+        """Return the API endpoint and client cert source for mutual TLS.
+
+        The client cert source is determined in the following order:
+        (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the
+        client cert source is None.
+        (2) if `client_options.client_cert_source` is provided, use the provided one; if the
+        default client cert source exists, use the default one; otherwise the client cert
+        source is None.
+
+        The API endpoint is determined in the following order:
+        (1) if `client_options.api_endpoint` if provided, use the provided one.
+        (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the
+        default mTLS endpoint; if the environment variable is "never", use the default API
+        endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise
+        use the default API endpoint.
+
+        More details can be found at https://google.aip.dev/auth/4114.
+
+        Args:
+            client_options (google.api_core.client_options.ClientOptions): Custom options for the
+                client. Only the `api_endpoint` and `client_cert_source` properties may be used
+                in this method.
+
+        Returns:
+            Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the
+                client cert source to use.
+
+        Raises:
+            google.auth.exceptions.MutualTLSChannelError: If any errors happen.
+        """
+        return DataplexServiceClient.get_mtls_endpoint_and_cert_source(client_options)  # type: ignore
+
+    @property
+    def transport(self) -> DataplexServiceTransport:
+        """Returns the transport used by the client instance.
+
+        Returns:
+            DataplexServiceTransport: The transport used by the client instance.
+        """
+        return self._client.transport
+
+    @property
+    def api_endpoint(self):
+        """Return the API endpoint used by the client instance.
+
+        Returns:
+            str: The API endpoint used by the client instance.
+        """
+        return self._client._api_endpoint
+
+    @property
+    def universe_domain(self) -> str:
+        """Return the universe domain used by the client instance.
+
+        Returns:
+            str: The universe domain used
+                by the client instance.
+        """
+        return self._client._universe_domain
+
+    get_transport_class = DataplexServiceClient.get_transport_class
+
+    def __init__(self, *,
+            credentials: Optional[ga_credentials.Credentials] = None,
+            transport: Optional[Union[str, DataplexServiceTransport, Callable[..., DataplexServiceTransport]]] = "grpc_asyncio",
+            client_options: Optional[ClientOptions] = None,
+            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
+            ) -> None:
+        """Instantiates the dataplex service async client.
+
+        Args:
+            credentials (Optional[google.auth.credentials.Credentials]): The
+                authorization credentials to attach to requests. These
+                credentials identify the application to the service; if none
+                are specified, the client will attempt to ascertain the
+                credentials from the environment.
+            transport (Optional[Union[str,DataplexServiceTransport,Callable[..., DataplexServiceTransport]]]):
+                The transport to use, or a Callable that constructs and returns a new transport to use.
+                If a Callable is given, it will be called with the same set of initialization
+                arguments as used in the DataplexServiceTransport constructor.
+                If set to None, a transport is chosen automatically.
+            client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]):
+                Custom options for the client.
+
+                1. The ``api_endpoint`` property can be used to override the
+                default endpoint provided by the client when ``transport`` is
+                not explicitly provided. Only if this property is not set and
+                ``transport`` was not explicitly provided, the endpoint is
+                determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment
+                variable, which have one of the following values:
+                "always" (always use the default mTLS endpoint), "never" (always
+                use the default regular endpoint) and "auto" (auto-switch to the
+                default mTLS endpoint if client certificate is present; this is
+                the default value).
+
+                2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable
+                is "true", then the ``client_cert_source`` property can be used
+                to provide a client certificate for mTLS transport. If
+                not provided, the default SSL client certificate will be used if
+                present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not
+                set, no client certificate will be used.
+
+                3. The ``universe_domain`` property can be used to override the
+                default "googleapis.com" universe. Note that ``api_endpoint``
+                property still takes precedence; and ``universe_domain`` is
+                currently not supported for mTLS.
+
+            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
+                The client info used to send a user-agent string along with
+                API requests. If ``None``, then default info will be used.
+                Generally, you only need to set this if you're developing
+                your own client library.
+
+        Raises:
+            google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport
+                creation failed for any reason.
+        """
+        self._client = DataplexServiceClient(
+            credentials=credentials,
+            transport=transport,
+            client_options=client_options,
+            client_info=client_info,
+
+        )
+
+    async def create_lake(self,
+            request: Optional[Union[service.CreateLakeRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            lake: Optional[resources.Lake] = None,
+            lake_id: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation_async.AsyncOperation:
+        r"""Creates a lake resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_create_lake():
+                # Create a client
+                client = dataplex_v1.DataplexServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.CreateLakeRequest(
+                    parent="parent_value",
+                    lake_id="lake_id_value",
+                )
+
+                # Make the request
+                operation = client.create_lake(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = (await operation).result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.CreateLakeRequest, dict]]):
+                The request object. Create lake request.
+            parent (:class:`str`):
+                Required. The resource name of the lake location, of the
+                form: projects/{project_number}/locations/{location_id}
+                where ``location_id`` refers to a GCP region.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            lake (:class:`google.cloud.dataplex_v1.types.Lake`):
+                Required. Lake resource
+                This corresponds to the ``lake`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            lake_id (:class:`str`):
+                Required. Lake identifier. This ID will be used to
+                generate names such as database and dataset names when
+                publishing metadata to Hive Metastore and BigQuery.
+
+                -  Must contain only lowercase letters, numbers and
+                   hyphens.
+                -  Must start with a letter.
+                -  Must end with a number or a letter.
+                -  Must be between 1-63 characters.
+                -  Must be unique within the customer project /
+                   location.
+
+                This corresponds to the ``lake_id`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation_async.AsyncOperation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.Lake` A lake is a centralized repository for managing enterprise data across the
+                   organization distributed across many cloud projects,
+                   and stored in a variety of storage services such as
+                   Google Cloud Storage and BigQuery. The resources
+                   attached to a lake are referred to as managed
+                   resources. Data within these managed resources can be
+                   structured or unstructured. A lake provides data
+                   admins with tools to organize, secure and manage
+                   their data at scale, and provides data scientists and
+                   data engineers an integrated experience to easily
+                   search, discover, analyze and transform data and
+                   associated metadata.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent, lake, lake_id])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.CreateLakeRequest):
+            request = service.CreateLakeRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if parent is not None:
+            request.parent = parent
+        if lake is not None:
+            request.lake = lake
+        if lake_id is not None:
+            request.lake_id = lake_id
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.create_lake]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation_async.from_gapic(
+            response,
+            self._client._transport.operations_client,
+            resources.Lake,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def update_lake(self,
+            request: Optional[Union[service.UpdateLakeRequest, dict]] = None,
+            *,
+            lake: Optional[resources.Lake] = None,
+            update_mask: Optional[field_mask_pb2.FieldMask] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation_async.AsyncOperation:
+        r"""Updates a lake resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_update_lake():
+                # Create a client
+                client = dataplex_v1.DataplexServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.UpdateLakeRequest(
+                )
+
+                # Make the request
+                operation = client.update_lake(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = (await operation).result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.UpdateLakeRequest, dict]]):
+                The request object. Update lake request.
+            lake (:class:`google.cloud.dataplex_v1.types.Lake`):
+                Required. Update description. Only fields specified in
+                ``update_mask`` are updated.
+
+                This corresponds to the ``lake`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`):
+                Required. Mask of fields to update.
+                This corresponds to the ``update_mask`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation_async.AsyncOperation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.Lake` A lake is a centralized repository for managing enterprise data across the
+                   organization distributed across many cloud projects,
+                   and stored in a variety of storage services such as
+                   Google Cloud Storage and BigQuery. The resources
+                   attached to a lake are referred to as managed
+                   resources. Data within these managed resources can be
+                   structured or unstructured. A lake provides data
+                   admins with tools to organize, secure and manage
+                   their data at scale, and provides data scientists and
+                   data engineers an integrated experience to easily
+                   search, discover, analyze and transform data and
+                   associated metadata.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([lake, update_mask])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.UpdateLakeRequest):
+            request = service.UpdateLakeRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if lake is not None:
+            request.lake = lake
+        if update_mask is not None:
+            request.update_mask = update_mask
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.update_lake]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("lake.name", request.lake.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation_async.from_gapic(
+            response,
+            self._client._transport.operations_client,
+            resources.Lake,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def delete_lake(self,
+            request: Optional[Union[service.DeleteLakeRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation_async.AsyncOperation:
+        r"""Deletes a lake resource. All zones within the lake
+        must be deleted before the lake can be deleted.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_delete_lake():
+                # Create a client
+                client = dataplex_v1.DataplexServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.DeleteLakeRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                operation = client.delete_lake(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = (await operation).result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.DeleteLakeRequest, dict]]):
+                The request object. Delete lake request.
+            name (:class:`str`):
+                Required. The resource name of the lake:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}``.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation_async.AsyncOperation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
+                   empty messages in your APIs. A typical example is to
+                   use it as the request or the response type of an API
+                   method. For instance:
+
+                      service Foo {
+                         rpc Bar(google.protobuf.Empty) returns
+                         (google.protobuf.Empty);
+
+                      }
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.DeleteLakeRequest):
+            request = service.DeleteLakeRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if name is not None:
+            request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.delete_lake]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation_async.from_gapic(
+            response,
+            self._client._transport.operations_client,
+            empty_pb2.Empty,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def list_lakes(self,
+            request: Optional[Union[service.ListLakesRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> pagers.ListLakesAsyncPager:
+        r"""Lists lake resources in a project and location.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_list_lakes():
+                # Create a client
+                client = dataplex_v1.DataplexServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.ListLakesRequest(
+                    parent="parent_value",
+                )
+
+                # Make the request
+                page_result = client.list_lakes(request=request)
+
+                # Handle the response
+                async for response in page_result:
+                    print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.ListLakesRequest, dict]]):
+                The request object. List lakes request.
+            parent (:class:`str`):
+                Required. The resource name of the lake location, of the
+                form:
+                ``projects/{project_number}/locations/{location_id}``
+                where ``location_id`` refers to a GCP region.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.services.dataplex_service.pagers.ListLakesAsyncPager:
+                List lakes response.
+
+                Iterating over this object will yield
+                results and resolve additional pages
+                automatically.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.ListLakesRequest):
+            request = service.ListLakesRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if parent is not None:
+            request.parent = parent
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.list_lakes]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # This method is paged; wrap the response in a pager, which provides
+        # an `__aiter__` convenience method.
+        response = pagers.ListLakesAsyncPager(
+            method=rpc,
+            request=request,
+            response=response,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def get_lake(self,
+            request: Optional[Union[service.GetLakeRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> resources.Lake:
+        r"""Retrieves a lake resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_get_lake():
+                # Create a client
+                client = dataplex_v1.DataplexServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.GetLakeRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                response = await client.get_lake(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.GetLakeRequest, dict]]):
+                The request object. Get lake request.
+            name (:class:`str`):
+                Required. The resource name of the lake:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}``.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.Lake:
+                A lake is a centralized repository
+                for managing enterprise data across the
+                organization distributed across many
+                cloud projects, and stored in a variety
+                of storage services such as Google Cloud
+                Storage and BigQuery. The resources
+                attached to a lake are referred to as
+                managed resources. Data within these
+                managed resources can be structured or
+                unstructured. A lake provides data
+                admins with tools to organize, secure
+                and manage their data at scale, and
+                provides data scientists and data
+                engineers an integrated experience to
+                easily search, discover, analyze and
+                transform data and associated metadata.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.GetLakeRequest):
+            request = service.GetLakeRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if name is not None:
+            request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.get_lake]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def list_lake_actions(self,
+            request: Optional[Union[service.ListLakeActionsRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> pagers.ListLakeActionsAsyncPager:
+        r"""Lists action resources in a lake.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_list_lake_actions():
+                # Create a client
+                client = dataplex_v1.DataplexServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.ListLakeActionsRequest(
+                    parent="parent_value",
+                )
+
+                # Make the request
+                page_result = client.list_lake_actions(request=request)
+
+                # Handle the response
+                async for response in page_result:
+                    print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.ListLakeActionsRequest, dict]]):
+                The request object. List lake actions request.
+            parent (:class:`str`):
+                Required. The resource name of the parent lake:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}``.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.services.dataplex_service.pagers.ListLakeActionsAsyncPager:
+                List actions response.
+
+                Iterating over this object will yield
+                results and resolve additional pages
+                automatically.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.ListLakeActionsRequest):
+            request = service.ListLakeActionsRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if parent is not None:
+            request.parent = parent
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.list_lake_actions]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # This method is paged; wrap the response in a pager, which provides
+        # an `__aiter__` convenience method.
+        response = pagers.ListLakeActionsAsyncPager(
+            method=rpc,
+            request=request,
+            response=response,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def create_zone(self,
+            request: Optional[Union[service.CreateZoneRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            zone: Optional[resources.Zone] = None,
+            zone_id: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation_async.AsyncOperation:
+        r"""Creates a zone resource within a lake.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_create_zone():
+                # Create a client
+                client = dataplex_v1.DataplexServiceAsyncClient()
+
+                # Initialize request argument(s)
+                zone = dataplex_v1.Zone()
+                zone.type_ = "CURATED"
+                zone.resource_spec.location_type = "MULTI_REGION"
+
+                request = dataplex_v1.CreateZoneRequest(
+                    parent="parent_value",
+                    zone_id="zone_id_value",
+                    zone=zone,
+                )
+
+                # Make the request
+                operation = client.create_zone(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = (await operation).result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.CreateZoneRequest, dict]]):
+                The request object. Create zone request.
+            parent (:class:`str`):
+                Required. The resource name of the parent lake:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}``.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            zone (:class:`google.cloud.dataplex_v1.types.Zone`):
+                Required. Zone resource.
+                This corresponds to the ``zone`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            zone_id (:class:`str`):
+                Required. Zone identifier. This ID will be used to
+                generate names such as database and dataset names when
+                publishing metadata to Hive Metastore and BigQuery.
+
+                -  Must contain only lowercase letters, numbers and
+                   hyphens.
+                -  Must start with a letter.
+                -  Must end with a number or a letter.
+                -  Must be between 1-63 characters.
+                -  Must be unique across all lakes from all locations in
+                   a project.
+                -  Must not be one of the reserved IDs (i.e. "default",
+                   "global-temp")
+
+                This corresponds to the ``zone_id`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation_async.AsyncOperation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.Zone` A zone represents a logical group of related assets within a lake. A zone can
+                   be used to map to organizational structure or
+                   represent stages of data readiness from raw to
+                   curated. It provides managing behavior that is shared
+                   or inherited by all contained assets.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent, zone, zone_id])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.CreateZoneRequest):
+            request = service.CreateZoneRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if parent is not None:
+            request.parent = parent
+        if zone is not None:
+            request.zone = zone
+        if zone_id is not None:
+            request.zone_id = zone_id
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.create_zone]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation_async.from_gapic(
+            response,
+            self._client._transport.operations_client,
+            resources.Zone,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def update_zone(self,
+            request: Optional[Union[service.UpdateZoneRequest, dict]] = None,
+            *,
+            zone: Optional[resources.Zone] = None,
+            update_mask: Optional[field_mask_pb2.FieldMask] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation_async.AsyncOperation:
+        r"""Updates a zone resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_update_zone():
+                # Create a client
+                client = dataplex_v1.DataplexServiceAsyncClient()
+
+                # Initialize request argument(s)
+                zone = dataplex_v1.Zone()
+                zone.type_ = "CURATED"
+                zone.resource_spec.location_type = "MULTI_REGION"
+
+                request = dataplex_v1.UpdateZoneRequest(
+                    zone=zone,
+                )
+
+                # Make the request
+                operation = client.update_zone(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = (await operation).result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.UpdateZoneRequest, dict]]):
+                The request object. Update zone request.
+            zone (:class:`google.cloud.dataplex_v1.types.Zone`):
+                Required. Update description. Only fields specified in
+                ``update_mask`` are updated.
+
+                This corresponds to the ``zone`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`):
+                Required. Mask of fields to update.
+                This corresponds to the ``update_mask`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation_async.AsyncOperation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.Zone` A zone represents a logical group of related assets within a lake. A zone can
+                   be used to map to organizational structure or
+                   represent stages of data readiness from raw to
+                   curated. It provides managing behavior that is shared
+                   or inherited by all contained assets.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([zone, update_mask])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.UpdateZoneRequest):
+            request = service.UpdateZoneRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if zone is not None:
+            request.zone = zone
+        if update_mask is not None:
+            request.update_mask = update_mask
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.update_zone]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("zone.name", request.zone.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation_async.from_gapic(
+            response,
+            self._client._transport.operations_client,
+            resources.Zone,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def delete_zone(self,
+            request: Optional[Union[service.DeleteZoneRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation_async.AsyncOperation:
+        r"""Deletes a zone resource. All assets within a zone
+        must be deleted before the zone can be deleted.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_delete_zone():
+                # Create a client
+                client = dataplex_v1.DataplexServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.DeleteZoneRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                operation = client.delete_zone(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = (await operation).result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.DeleteZoneRequest, dict]]):
+                The request object. Delete zone request.
+            name (:class:`str`):
+                Required. The resource name of the zone:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}``.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation_async.AsyncOperation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
+                   empty messages in your APIs. A typical example is to
+                   use it as the request or the response type of an API
+                   method. For instance:
+
+                      service Foo {
+                         rpc Bar(google.protobuf.Empty) returns
+                         (google.protobuf.Empty);
+
+                      }
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.DeleteZoneRequest):
+            request = service.DeleteZoneRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if name is not None:
+            request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.delete_zone]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation_async.from_gapic(
+            response,
+            self._client._transport.operations_client,
+            empty_pb2.Empty,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def list_zones(self,
+            request: Optional[Union[service.ListZonesRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> pagers.ListZonesAsyncPager:
+        r"""Lists zone resources in a lake.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_list_zones():
+                # Create a client
+                client = dataplex_v1.DataplexServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.ListZonesRequest(
+                    parent="parent_value",
+                )
+
+                # Make the request
+                page_result = client.list_zones(request=request)
+
+                # Handle the response
+                async for response in page_result:
+                    print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.ListZonesRequest, dict]]):
+                The request object. List zones request.
+            parent (:class:`str`):
+                Required. The resource name of the parent lake:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}``.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.services.dataplex_service.pagers.ListZonesAsyncPager:
+                List zones response.
+
+                Iterating over this object will yield
+                results and resolve additional pages
+                automatically.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.ListZonesRequest):
+            request = service.ListZonesRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if parent is not None:
+            request.parent = parent
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.list_zones]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # This method is paged; wrap the response in a pager, which provides
+        # an `__aiter__` convenience method.
+        response = pagers.ListZonesAsyncPager(
+            method=rpc,
+            request=request,
+            response=response,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def get_zone(self,
+            request: Optional[Union[service.GetZoneRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> resources.Zone:
+        r"""Retrieves a zone resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_get_zone():
+                # Create a client
+                client = dataplex_v1.DataplexServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.GetZoneRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                response = await client.get_zone(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.GetZoneRequest, dict]]):
+                The request object. Get zone request.
+            name (:class:`str`):
+                Required. The resource name of the zone:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}``.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.Zone:
+                A zone represents a logical group of
+                related assets within a lake. A zone can
+                be used to map to organizational
+                structure or represent stages of data
+                readiness from raw to curated. It
+                provides managing behavior that is
+                shared or inherited by all contained
+                assets.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.GetZoneRequest):
+            request = service.GetZoneRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if name is not None:
+            request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.get_zone]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def list_zone_actions(self,
+            request: Optional[Union[service.ListZoneActionsRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> pagers.ListZoneActionsAsyncPager:
+        r"""Lists action resources in a zone.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_list_zone_actions():
+                # Create a client
+                client = dataplex_v1.DataplexServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.ListZoneActionsRequest(
+                    parent="parent_value",
+                )
+
+                # Make the request
+                page_result = client.list_zone_actions(request=request)
+
+                # Handle the response
+                async for response in page_result:
+                    print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.ListZoneActionsRequest, dict]]):
+                The request object. List zone actions request.
+            parent (:class:`str`):
+                Required. The resource name of the parent zone:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}``.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.services.dataplex_service.pagers.ListZoneActionsAsyncPager:
+                List actions response.
+
+                Iterating over this object will yield
+                results and resolve additional pages
+                automatically.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.ListZoneActionsRequest):
+            request = service.ListZoneActionsRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if parent is not None:
+            request.parent = parent
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.list_zone_actions]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # This method is paged; wrap the response in a pager, which provides
+        # an `__aiter__` convenience method.
+        response = pagers.ListZoneActionsAsyncPager(
+            method=rpc,
+            request=request,
+            response=response,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def create_asset(self,
+            request: Optional[Union[service.CreateAssetRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            asset: Optional[resources.Asset] = None,
+            asset_id: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation_async.AsyncOperation:
+        r"""Creates an asset resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_create_asset():
+                # Create a client
+                client = dataplex_v1.DataplexServiceAsyncClient()
+
+                # Initialize request argument(s)
+                asset = dataplex_v1.Asset()
+                asset.resource_spec.type_ = "BIGQUERY_DATASET"
+
+                request = dataplex_v1.CreateAssetRequest(
+                    parent="parent_value",
+                    asset_id="asset_id_value",
+                    asset=asset,
+                )
+
+                # Make the request
+                operation = client.create_asset(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = (await operation).result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.CreateAssetRequest, dict]]):
+                The request object. Create asset request.
+            parent (:class:`str`):
+                Required. The resource name of the parent zone:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}``.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            asset (:class:`google.cloud.dataplex_v1.types.Asset`):
+                Required. Asset resource.
+                This corresponds to the ``asset`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            asset_id (:class:`str`):
+                Required. Asset identifier. This ID will be used to
+                generate names such as table names when publishing
+                metadata to Hive Metastore and BigQuery.
+
+                -  Must contain only lowercase letters, numbers and
+                   hyphens.
+                -  Must start with a letter.
+                -  Must end with a number or a letter.
+                -  Must be between 1-63 characters.
+                -  Must be unique within the zone.
+
+                This corresponds to the ``asset_id`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation_async.AsyncOperation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.Asset` An asset represents a cloud resource that is being managed within a lake as a
+                   member of a zone.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent, asset, asset_id])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.CreateAssetRequest):
+            request = service.CreateAssetRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if parent is not None:
+            request.parent = parent
+        if asset is not None:
+            request.asset = asset
+        if asset_id is not None:
+            request.asset_id = asset_id
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.create_asset]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation_async.from_gapic(
+            response,
+            self._client._transport.operations_client,
+            resources.Asset,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def update_asset(self,
+            request: Optional[Union[service.UpdateAssetRequest, dict]] = None,
+            *,
+            asset: Optional[resources.Asset] = None,
+            update_mask: Optional[field_mask_pb2.FieldMask] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation_async.AsyncOperation:
+        r"""Updates an asset resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_update_asset():
+                # Create a client
+                client = dataplex_v1.DataplexServiceAsyncClient()
+
+                # Initialize request argument(s)
+                asset = dataplex_v1.Asset()
+                asset.resource_spec.type_ = "BIGQUERY_DATASET"
+
+                request = dataplex_v1.UpdateAssetRequest(
+                    asset=asset,
+                )
+
+                # Make the request
+                operation = client.update_asset(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = (await operation).result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.UpdateAssetRequest, dict]]):
+                The request object. Update asset request.
+            asset (:class:`google.cloud.dataplex_v1.types.Asset`):
+                Required. Update description. Only fields specified in
+                ``update_mask`` are updated.
+
+                This corresponds to the ``asset`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`):
+                Required. Mask of fields to update.
+                This corresponds to the ``update_mask`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation_async.AsyncOperation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.Asset` An asset represents a cloud resource that is being managed within a lake as a
+                   member of a zone.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([asset, update_mask])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.UpdateAssetRequest):
+            request = service.UpdateAssetRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if asset is not None:
+            request.asset = asset
+        if update_mask is not None:
+            request.update_mask = update_mask
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.update_asset]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("asset.name", request.asset.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation_async.from_gapic(
+            response,
+            self._client._transport.operations_client,
+            resources.Asset,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def delete_asset(self,
+            request: Optional[Union[service.DeleteAssetRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation_async.AsyncOperation:
+        r"""Deletes an asset resource. The referenced storage
+        resource is detached (default) or deleted based on the
+        associated Lifecycle policy.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_delete_asset():
+                # Create a client
+                client = dataplex_v1.DataplexServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.DeleteAssetRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                operation = client.delete_asset(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = (await operation).result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.DeleteAssetRequest, dict]]):
+                The request object. Delete asset request.
+            name (:class:`str`):
+                Required. The resource name of the asset:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/assets/{asset_id}``.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation_async.AsyncOperation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
+                   empty messages in your APIs. A typical example is to
+                   use it as the request or the response type of an API
+                   method. For instance:
+
+                      service Foo {
+                         rpc Bar(google.protobuf.Empty) returns
+                         (google.protobuf.Empty);
+
+                      }
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.DeleteAssetRequest):
+            request = service.DeleteAssetRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if name is not None:
+            request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.delete_asset]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation_async.from_gapic(
+            response,
+            self._client._transport.operations_client,
+            empty_pb2.Empty,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def list_assets(self,
+            request: Optional[Union[service.ListAssetsRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> pagers.ListAssetsAsyncPager:
+        r"""Lists asset resources in a zone.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_list_assets():
+                # Create a client
+                client = dataplex_v1.DataplexServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.ListAssetsRequest(
+                    parent="parent_value",
+                )
+
+                # Make the request
+                page_result = client.list_assets(request=request)
+
+                # Handle the response
+                async for response in page_result:
+                    print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.ListAssetsRequest, dict]]):
+                The request object. List assets request.
+            parent (:class:`str`):
+                Required. The resource name of the parent zone:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}``.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.services.dataplex_service.pagers.ListAssetsAsyncPager:
+                List assets response.
+
+                Iterating over this object will yield
+                results and resolve additional pages
+                automatically.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.ListAssetsRequest):
+            request = service.ListAssetsRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if parent is not None:
+            request.parent = parent
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.list_assets]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # This method is paged; wrap the response in a pager, which provides
+        # an `__aiter__` convenience method.
+        response = pagers.ListAssetsAsyncPager(
+            method=rpc,
+            request=request,
+            response=response,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def get_asset(self,
+            request: Optional[Union[service.GetAssetRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> resources.Asset:
+        r"""Retrieves an asset resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_get_asset():
+                # Create a client
+                client = dataplex_v1.DataplexServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.GetAssetRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                response = await client.get_asset(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.GetAssetRequest, dict]]):
+                The request object. Get asset request.
+            name (:class:`str`):
+                Required. The resource name of the asset:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/assets/{asset_id}``.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.Asset:
+                An asset represents a cloud resource
+                that is being managed within a lake as a
+                member of a zone.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.GetAssetRequest):
+            request = service.GetAssetRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if name is not None:
+            request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.get_asset]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def list_asset_actions(self,
+            request: Optional[Union[service.ListAssetActionsRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> pagers.ListAssetActionsAsyncPager:
+        r"""Lists action resources in an asset.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_list_asset_actions():
+                # Create a client
+                client = dataplex_v1.DataplexServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.ListAssetActionsRequest(
+                    parent="parent_value",
+                )
+
+                # Make the request
+                page_result = client.list_asset_actions(request=request)
+
+                # Handle the response
+                async for response in page_result:
+                    print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.ListAssetActionsRequest, dict]]):
+                The request object. List asset actions request.
+            parent (:class:`str`):
+                Required. The resource name of the parent asset:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/assets/{asset_id}``.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.services.dataplex_service.pagers.ListAssetActionsAsyncPager:
+                List actions response.
+
+                Iterating over this object will yield
+                results and resolve additional pages
+                automatically.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.ListAssetActionsRequest):
+            request = service.ListAssetActionsRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if parent is not None:
+            request.parent = parent
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.list_asset_actions]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # This method is paged; wrap the response in a pager, which provides
+        # an `__aiter__` convenience method.
+        response = pagers.ListAssetActionsAsyncPager(
+            method=rpc,
+            request=request,
+            response=response,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def create_task(self,
+            request: Optional[Union[service.CreateTaskRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            task: Optional[tasks.Task] = None,
+            task_id: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation_async.AsyncOperation:
+        r"""Creates a task resource within a lake.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_create_task():
+                # Create a client
+                client = dataplex_v1.DataplexServiceAsyncClient()
+
+                # Initialize request argument(s)
+                task = dataplex_v1.Task()
+                task.spark.main_jar_file_uri = "main_jar_file_uri_value"
+                task.trigger_spec.schedule = "schedule_value"
+                task.trigger_spec.type_ = "RECURRING"
+                task.execution_spec.service_account = "service_account_value"
+
+                request = dataplex_v1.CreateTaskRequest(
+                    parent="parent_value",
+                    task_id="task_id_value",
+                    task=task,
+                )
+
+                # Make the request
+                operation = client.create_task(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = (await operation).result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.CreateTaskRequest, dict]]):
+                The request object. Create task request.
+            parent (:class:`str`):
+                Required. The resource name of the parent lake:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}``.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            task (:class:`google.cloud.dataplex_v1.types.Task`):
+                Required. Task resource.
+                This corresponds to the ``task`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            task_id (:class:`str`):
+                Required. Task identifier.
+                This corresponds to the ``task_id`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation_async.AsyncOperation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be
+                :class:`google.cloud.dataplex_v1.types.Task` A task
+                represents a user-visible job.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent, task, task_id])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.CreateTaskRequest):
+            request = service.CreateTaskRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if parent is not None:
+            request.parent = parent
+        if task is not None:
+            request.task = task
+        if task_id is not None:
+            request.task_id = task_id
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.create_task]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation_async.from_gapic(
+            response,
+            self._client._transport.operations_client,
+            tasks.Task,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def update_task(self,
+            request: Optional[Union[service.UpdateTaskRequest, dict]] = None,
+            *,
+            task: Optional[tasks.Task] = None,
+            update_mask: Optional[field_mask_pb2.FieldMask] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation_async.AsyncOperation:
+        r"""Update the task resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_update_task():
+                # Create a client
+                client = dataplex_v1.DataplexServiceAsyncClient()
+
+                # Initialize request argument(s)
+                task = dataplex_v1.Task()
+                task.spark.main_jar_file_uri = "main_jar_file_uri_value"
+                task.trigger_spec.schedule = "schedule_value"
+                task.trigger_spec.type_ = "RECURRING"
+                task.execution_spec.service_account = "service_account_value"
+
+                request = dataplex_v1.UpdateTaskRequest(
+                    task=task,
+                )
+
+                # Make the request
+                operation = client.update_task(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = (await operation).result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.UpdateTaskRequest, dict]]):
+                The request object. Update task request.
+            task (:class:`google.cloud.dataplex_v1.types.Task`):
+                Required. Update description. Only fields specified in
+                ``update_mask`` are updated.
+
+                This corresponds to the ``task`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`):
+                Required. Mask of fields to update.
+                This corresponds to the ``update_mask`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation_async.AsyncOperation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be
+                :class:`google.cloud.dataplex_v1.types.Task` A task
+                represents a user-visible job.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([task, update_mask])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.UpdateTaskRequest):
+            request = service.UpdateTaskRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if task is not None:
+            request.task = task
+        if update_mask is not None:
+            request.update_mask = update_mask
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.update_task]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("task.name", request.task.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation_async.from_gapic(
+            response,
+            self._client._transport.operations_client,
+            tasks.Task,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def delete_task(self,
+            request: Optional[Union[service.DeleteTaskRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation_async.AsyncOperation:
+        r"""Delete the task resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_delete_task():
+                # Create a client
+                client = dataplex_v1.DataplexServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.DeleteTaskRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                operation = client.delete_task(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = (await operation).result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.DeleteTaskRequest, dict]]):
+                The request object. Delete task request.
+            name (:class:`str`):
+                Required. The resource name of the task:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/task/{task_id}``.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation_async.AsyncOperation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
+                   empty messages in your APIs. A typical example is to
+                   use it as the request or the response type of an API
+                   method. For instance:
+
+                      service Foo {
+                         rpc Bar(google.protobuf.Empty) returns
+                         (google.protobuf.Empty);
+
+                      }
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.DeleteTaskRequest):
+            request = service.DeleteTaskRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if name is not None:
+            request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.delete_task]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation_async.from_gapic(
+            response,
+            self._client._transport.operations_client,
+            empty_pb2.Empty,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def list_tasks(self,
+            request: Optional[Union[service.ListTasksRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> pagers.ListTasksAsyncPager:
+        r"""Lists tasks under the given lake.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_list_tasks():
+                # Create a client
+                client = dataplex_v1.DataplexServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.ListTasksRequest(
+                    parent="parent_value",
+                )
+
+                # Make the request
+                page_result = client.list_tasks(request=request)
+
+                # Handle the response
+                async for response in page_result:
+                    print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.ListTasksRequest, dict]]):
+                The request object. List tasks request.
+            parent (:class:`str`):
+                Required. The resource name of the parent lake:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}``.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.services.dataplex_service.pagers.ListTasksAsyncPager:
+                List tasks response.
+
+                Iterating over this object will yield
+                results and resolve additional pages
+                automatically.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.ListTasksRequest):
+            request = service.ListTasksRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if parent is not None:
+            request.parent = parent
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.list_tasks]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # This method is paged; wrap the response in a pager, which provides
+        # an `__aiter__` convenience method.
+        response = pagers.ListTasksAsyncPager(
+            method=rpc,
+            request=request,
+            response=response,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def get_task(self,
+            request: Optional[Union[service.GetTaskRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> tasks.Task:
+        r"""Get task resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_get_task():
+                # Create a client
+                client = dataplex_v1.DataplexServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.GetTaskRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                response = await client.get_task(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.GetTaskRequest, dict]]):
+                The request object. Get task request.
+            name (:class:`str`):
+                Required. The resource name of the task:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/tasks/{tasks_id}``.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.Task:
+                A task represents a user-visible job.
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.GetTaskRequest):
+            request = service.GetTaskRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if name is not None:
+            request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.get_task]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def list_jobs(self,
+            request: Optional[Union[service.ListJobsRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> pagers.ListJobsAsyncPager:
+        r"""Lists Jobs under the given task.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_list_jobs():
+                # Create a client
+                client = dataplex_v1.DataplexServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.ListJobsRequest(
+                    parent="parent_value",
+                )
+
+                # Make the request
+                page_result = client.list_jobs(request=request)
+
+                # Handle the response
+                async for response in page_result:
+                    print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.ListJobsRequest, dict]]):
+                The request object. List jobs request.
+            parent (:class:`str`):
+                Required. The resource name of the parent environment:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/tasks/{task_id}``.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.services.dataplex_service.pagers.ListJobsAsyncPager:
+                List jobs response.
+
+                Iterating over this object will yield
+                results and resolve additional pages
+                automatically.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.ListJobsRequest):
+            request = service.ListJobsRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if parent is not None:
+            request.parent = parent
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.list_jobs]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # This method is paged; wrap the response in a pager, which provides
+        # an `__aiter__` convenience method.
+        response = pagers.ListJobsAsyncPager(
+            method=rpc,
+            request=request,
+            response=response,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def run_task(self,
+            request: Optional[Union[service.RunTaskRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> service.RunTaskResponse:
+        r"""Run an on demand execution of a Task.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_run_task():
+                # Create a client
+                client = dataplex_v1.DataplexServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.RunTaskRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                response = await client.run_task(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.RunTaskRequest, dict]]):
+                The request object.
+            name (:class:`str`):
+                Required. The resource name of the task:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/tasks/{task_id}``.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.RunTaskResponse:
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.RunTaskRequest):
+            request = service.RunTaskRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if name is not None:
+            request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.run_task]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def get_job(self,
+            request: Optional[Union[service.GetJobRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> tasks.Job:
+        r"""Get job resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_get_job():
+                # Create a client
+                client = dataplex_v1.DataplexServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.GetJobRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                response = await client.get_job(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.GetJobRequest, dict]]):
+                The request object. Get job request.
+            name (:class:`str`):
+                Required. The resource name of the job:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/tasks/{task_id}/jobs/{job_id}``.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.Job:
+                A job represents an instance of a
+                task.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.GetJobRequest):
+            request = service.GetJobRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if name is not None:
+            request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.get_job]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def cancel_job(self,
+            request: Optional[Union[service.CancelJobRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> None:
+        r"""Cancel jobs running for the task resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_cancel_job():
+                # Create a client
+                client = dataplex_v1.DataplexServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.CancelJobRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                await client.cancel_job(request=request)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.CancelJobRequest, dict]]):
+                The request object. Cancel task jobs.
+            name (:class:`str`):
+                Required. The resource name of the job:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/task/{task_id}/job/{job_id}``.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.CancelJobRequest):
+            request = service.CancelJobRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if name is not None:
+            request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.cancel_job]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+    async def create_environment(self,
+            request: Optional[Union[service.CreateEnvironmentRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            environment: Optional[analyze.Environment] = None,
+            environment_id: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation_async.AsyncOperation:
+        r"""Create an environment resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_create_environment():
+                # Create a client
+                client = dataplex_v1.DataplexServiceAsyncClient()
+
+                # Initialize request argument(s)
+                environment = dataplex_v1.Environment()
+                environment.infrastructure_spec.os_image.image_version = "image_version_value"
+
+                request = dataplex_v1.CreateEnvironmentRequest(
+                    parent="parent_value",
+                    environment_id="environment_id_value",
+                    environment=environment,
+                )
+
+                # Make the request
+                operation = client.create_environment(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = (await operation).result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.CreateEnvironmentRequest, dict]]):
+                The request object. Create environment request.
+            parent (:class:`str`):
+                Required. The resource name of the parent lake:
+                ``projects/{project_id}/locations/{location_id}/lakes/{lake_id}``.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            environment (:class:`google.cloud.dataplex_v1.types.Environment`):
+                Required. Environment resource.
+                This corresponds to the ``environment`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            environment_id (:class:`str`):
+                Required. Environment identifier.
+
+                -  Must contain only lowercase letters, numbers and
+                   hyphens.
+                -  Must start with a letter.
+                -  Must be between 1-63 characters.
+                -  Must end with a number or a letter.
+                -  Must be unique within the lake.
+
+                This corresponds to the ``environment_id`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation_async.AsyncOperation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.Environment` Environment represents a user-visible compute infrastructure for analytics
+                   within a lake.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent, environment, environment_id])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.CreateEnvironmentRequest):
+            request = service.CreateEnvironmentRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if parent is not None:
+            request.parent = parent
+        if environment is not None:
+            request.environment = environment
+        if environment_id is not None:
+            request.environment_id = environment_id
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.create_environment]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation_async.from_gapic(
+            response,
+            self._client._transport.operations_client,
+            analyze.Environment,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def update_environment(self,
+            request: Optional[Union[service.UpdateEnvironmentRequest, dict]] = None,
+            *,
+            environment: Optional[analyze.Environment] = None,
+            update_mask: Optional[field_mask_pb2.FieldMask] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation_async.AsyncOperation:
+        r"""Update the environment resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_update_environment():
+                # Create a client
+                client = dataplex_v1.DataplexServiceAsyncClient()
+
+                # Initialize request argument(s)
+                environment = dataplex_v1.Environment()
+                environment.infrastructure_spec.os_image.image_version = "image_version_value"
+
+                request = dataplex_v1.UpdateEnvironmentRequest(
+                    environment=environment,
+                )
+
+                # Make the request
+                operation = client.update_environment(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = (await operation).result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.UpdateEnvironmentRequest, dict]]):
+                The request object. Update environment request.
+            environment (:class:`google.cloud.dataplex_v1.types.Environment`):
+                Required. Update description. Only fields specified in
+                ``update_mask`` are updated.
+
+                This corresponds to the ``environment`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`):
+                Required. Mask of fields to update.
+                This corresponds to the ``update_mask`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation_async.AsyncOperation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.Environment` Environment represents a user-visible compute infrastructure for analytics
+                   within a lake.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([environment, update_mask])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.UpdateEnvironmentRequest):
+            request = service.UpdateEnvironmentRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if environment is not None:
+            request.environment = environment
+        if update_mask is not None:
+            request.update_mask = update_mask
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.update_environment]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("environment.name", request.environment.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation_async.from_gapic(
+            response,
+            self._client._transport.operations_client,
+            analyze.Environment,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def delete_environment(self,
+            request: Optional[Union[service.DeleteEnvironmentRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation_async.AsyncOperation:
+        r"""Delete the environment resource. All the child
+        resources must have been deleted before environment
+        deletion can be initiated.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_delete_environment():
+                # Create a client
+                client = dataplex_v1.DataplexServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.DeleteEnvironmentRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                operation = client.delete_environment(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = (await operation).result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.DeleteEnvironmentRequest, dict]]):
+                The request object. Delete environment request.
+            name (:class:`str`):
+                Required. The resource name of the environment:
+                ``projects/{project_id}/locations/{location_id}/lakes/{lake_id}/environments/{environment_id}``.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation_async.AsyncOperation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
+                   empty messages in your APIs. A typical example is to
+                   use it as the request or the response type of an API
+                   method. For instance:
+
+                      service Foo {
+                         rpc Bar(google.protobuf.Empty) returns
+                         (google.protobuf.Empty);
+
+                      }
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.DeleteEnvironmentRequest):
+            request = service.DeleteEnvironmentRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if name is not None:
+            request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.delete_environment]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation_async.from_gapic(
+            response,
+            self._client._transport.operations_client,
+            empty_pb2.Empty,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def list_environments(self,
+            request: Optional[Union[service.ListEnvironmentsRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> pagers.ListEnvironmentsAsyncPager:
+        r"""Lists environments under the given lake.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_list_environments():
+                # Create a client
+                client = dataplex_v1.DataplexServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.ListEnvironmentsRequest(
+                    parent="parent_value",
+                )
+
+                # Make the request
+                page_result = client.list_environments(request=request)
+
+                # Handle the response
+                async for response in page_result:
+                    print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.ListEnvironmentsRequest, dict]]):
+                The request object. List environments request.
+            parent (:class:`str`):
+                Required. The resource name of the parent lake:
+                ``projects/{project_id}/locations/{location_id}/lakes/{lake_id}``.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.services.dataplex_service.pagers.ListEnvironmentsAsyncPager:
+                List environments response.
+
+                Iterating over this object will yield
+                results and resolve additional pages
+                automatically.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.ListEnvironmentsRequest):
+            request = service.ListEnvironmentsRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if parent is not None:
+            request.parent = parent
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.list_environments]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # This method is paged; wrap the response in a pager, which provides
+        # an `__aiter__` convenience method.
+        response = pagers.ListEnvironmentsAsyncPager(
+            method=rpc,
+            request=request,
+            response=response,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def get_environment(self,
+            request: Optional[Union[service.GetEnvironmentRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> analyze.Environment:
+        r"""Get environment resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_get_environment():
+                # Create a client
+                client = dataplex_v1.DataplexServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.GetEnvironmentRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                response = await client.get_environment(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.GetEnvironmentRequest, dict]]):
+                The request object. Get environment request.
+            name (:class:`str`):
+                Required. The resource name of the environment:
+                ``projects/{project_id}/locations/{location_id}/lakes/{lake_id}/environments/{environment_id}``.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.Environment:
+                Environment represents a user-visible
+                compute infrastructure for analytics
+                within a lake.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.GetEnvironmentRequest):
+            request = service.GetEnvironmentRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if name is not None:
+            request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.get_environment]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def list_sessions(self,
+            request: Optional[Union[service.ListSessionsRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> pagers.ListSessionsAsyncPager:
+        r"""Lists session resources in an environment.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_list_sessions():
+                # Create a client
+                client = dataplex_v1.DataplexServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.ListSessionsRequest(
+                    parent="parent_value",
+                )
+
+                # Make the request
+                page_result = client.list_sessions(request=request)
+
+                # Handle the response
+                async for response in page_result:
+                    print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.ListSessionsRequest, dict]]):
+                The request object. List sessions request.
+            parent (:class:`str`):
+                Required. The resource name of the parent environment:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/environment/{environment_id}``.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.services.dataplex_service.pagers.ListSessionsAsyncPager:
+                List sessions response.
+
+                Iterating over this object will yield
+                results and resolve additional pages
+                automatically.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.ListSessionsRequest):
+            request = service.ListSessionsRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if parent is not None:
+            request.parent = parent
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.list_sessions]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # This method is paged; wrap the response in a pager, which provides
+        # an `__aiter__` convenience method.
+        response = pagers.ListSessionsAsyncPager(
+            method=rpc,
+            request=request,
+            response=response,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def list_operations(
+        self,
+        request: Optional[operations_pb2.ListOperationsRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> operations_pb2.ListOperationsResponse:
+        r"""Lists operations that match the specified filter in the request.
+
+        Args:
+            request (:class:`~.operations_pb2.ListOperationsRequest`):
+                The request object. Request message for
+                `ListOperations` method.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.operations_pb2.ListOperationsResponse:
+                Response message for ``ListOperations`` method.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.ListOperationsRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self.transport._wrapped_methods[self._client._transport.list_operations]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request, retry=retry, timeout=timeout, metadata=metadata,)
+
+        # Done; return the response.
+        return response
+
+    async def get_operation(
+        self,
+        request: Optional[operations_pb2.GetOperationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> operations_pb2.Operation:
+        r"""Gets the latest state of a long-running operation.
+
+        Args:
+            request (:class:`~.operations_pb2.GetOperationRequest`):
+                The request object. Request message for
+                `GetOperation` method.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.operations_pb2.Operation:
+                An ``Operation`` object.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.GetOperationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self.transport._wrapped_methods[self._client._transport.get_operation]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request, retry=retry, timeout=timeout, metadata=metadata,)
+
+        # Done; return the response.
+        return response
+
+    async def delete_operation(
+        self,
+        request: Optional[operations_pb2.DeleteOperationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> None:
+        r"""Deletes a long-running operation.
+
+        This method indicates that the client is no longer interested
+        in the operation result. It does not cancel the operation.
+        If the server doesn't support this method, it returns
+        `google.rpc.Code.UNIMPLEMENTED`.
+
+        Args:
+            request (:class:`~.operations_pb2.DeleteOperationRequest`):
+                The request object. Request message for
+                `DeleteOperation` method.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            None
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.DeleteOperationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self.transport._wrapped_methods[self._client._transport.delete_operation]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        await rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
+
+    async def cancel_operation(
+        self,
+        request: Optional[operations_pb2.CancelOperationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> None:
+        r"""Starts asynchronous cancellation on a long-running operation.
+
+        The server makes a best effort to cancel the operation, but success
+        is not guaranteed.  If the server doesn't support this method, it returns
+        `google.rpc.Code.UNIMPLEMENTED`.
+
+        Args:
+            request (:class:`~.operations_pb2.CancelOperationRequest`):
+                The request object. Request message for
+                `CancelOperation` method.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            None
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.CancelOperationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self.transport._wrapped_methods[self._client._transport.cancel_operation]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        await rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
+
+    async def get_location(
+        self,
+        request: Optional[locations_pb2.GetLocationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> locations_pb2.Location:
+        r"""Gets information about a location.
+
+        Args:
+            request (:class:`~.location_pb2.GetLocationRequest`):
+                The request object. Request message for
+                `GetLocation` method.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
+                 if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.location_pb2.Location:
+                Location object.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = locations_pb2.GetLocationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self.transport._wrapped_methods[self._client._transport.get_location]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request, retry=retry, timeout=timeout, metadata=metadata,)
+
+        # Done; return the response.
+        return response
+
+    async def list_locations(
+        self,
+        request: Optional[locations_pb2.ListLocationsRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> locations_pb2.ListLocationsResponse:
+        r"""Lists information about the supported locations for this service.
+
+        Args:
+            request (:class:`~.location_pb2.ListLocationsRequest`):
+                The request object. Request message for
+                `ListLocations` method.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
+                 if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.location_pb2.ListLocationsResponse:
+                Response message for ``ListLocations`` method.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = locations_pb2.ListLocationsRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self.transport._wrapped_methods[self._client._transport.list_locations]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request, retry=retry, timeout=timeout, metadata=metadata,)
+
+        # Done; return the response.
+        return response
+
+    async def __aenter__(self) -> "DataplexServiceAsyncClient":
+        return self
+
+    async def __aexit__(self, exc_type, exc, tb):
+        await self.transport.close()
+
+DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(gapic_version=package_version.__version__)
+
+
+__all__ = (
+    "DataplexServiceAsyncClient",
+)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/dataplex_service/client.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/dataplex_service/client.py
new file mode 100644
index 000000000000..81c523bf4d5d
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/dataplex_service/client.py
@@ -0,0 +1,4933 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from collections import OrderedDict
+import os
+import re
+from typing import Dict, Callable, Mapping, MutableMapping, MutableSequence, Optional, Sequence, Tuple, Type, Union, cast
+import warnings
+
+from google.cloud.dataplex_v1 import gapic_version as package_version
+
+from google.api_core import client_options as client_options_lib
+from google.api_core import exceptions as core_exceptions
+from google.api_core import gapic_v1
+from google.api_core import retry as retries
+from google.auth import credentials as ga_credentials             # type: ignore
+from google.auth.transport import mtls                            # type: ignore
+from google.auth.transport.grpc import SslCredentials             # type: ignore
+from google.auth.exceptions import MutualTLSChannelError          # type: ignore
+from google.oauth2 import service_account                         # type: ignore
+
+try:
+    OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None]
+except AttributeError:  # pragma: NO COVER
+    OptionalRetry = Union[retries.Retry, object, None]  # type: ignore
+
+from google.api_core import operation  # type: ignore
+from google.api_core import operation_async  # type: ignore
+from google.cloud.dataplex_v1.services.dataplex_service import pagers
+from google.cloud.dataplex_v1.types import analyze
+from google.cloud.dataplex_v1.types import resources
+from google.cloud.dataplex_v1.types import service
+from google.cloud.dataplex_v1.types import tasks
+from google.cloud.location import locations_pb2 # type: ignore
+from google.iam.v1 import iam_policy_pb2  # type: ignore
+from google.iam.v1 import policy_pb2  # type: ignore
+from google.longrunning import operations_pb2 # type: ignore
+from google.protobuf import empty_pb2  # type: ignore
+from google.protobuf import field_mask_pb2  # type: ignore
+from google.protobuf import timestamp_pb2  # type: ignore
+from .transports.base import DataplexServiceTransport, DEFAULT_CLIENT_INFO
+from .transports.grpc import DataplexServiceGrpcTransport
+from .transports.grpc_asyncio import DataplexServiceGrpcAsyncIOTransport
+
+
+class DataplexServiceClientMeta(type):
+    """Metaclass for the DataplexService client.
+
+    This provides class-level methods for building and retrieving
+    support objects (e.g. transport) without polluting the client instance
+    objects.
+    """
+    _transport_registry = OrderedDict()  # type: Dict[str, Type[DataplexServiceTransport]]
+    _transport_registry["grpc"] = DataplexServiceGrpcTransport
+    _transport_registry["grpc_asyncio"] = DataplexServiceGrpcAsyncIOTransport
+
+    def get_transport_class(cls,
+            label: Optional[str] = None,
+        ) -> Type[DataplexServiceTransport]:
+        """Returns an appropriate transport class.
+
+        Args:
+            label: The name of the desired transport. If none is
+                provided, then the first transport in the registry is used.
+
+        Returns:
+            The transport class to use.
+        """
+        # If a specific transport is requested, return that one.
+        if label:
+            return cls._transport_registry[label]
+
+        # No transport is requested; return the default (that is, the first one
+        # in the dictionary).
+        return next(iter(cls._transport_registry.values()))
+
+
+class DataplexServiceClient(metaclass=DataplexServiceClientMeta):
+    """Dataplex service provides data lakes as a service. The
+    primary resources offered by this service are Lakes, Zones and
+    Assets which collectively allow a data administrator to
+    organize, manage, secure and catalog data across their
+    organization located across cloud projects in a variety of
+    storage systems including Cloud Storage and BigQuery.
+    """
+
+    @staticmethod
+    def _get_default_mtls_endpoint(api_endpoint):
+        """Converts api endpoint to mTLS endpoint.
+
+        Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to
+        "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively.
+        Args:
+            api_endpoint (Optional[str]): the api endpoint to convert.
+        Returns:
+            str: converted mTLS api endpoint.
+        """
+        if not api_endpoint:
+            return api_endpoint
+
+        mtls_endpoint_re = re.compile(
+            r"(?P<name>[^.]+)(?P<mtls>\.mtls)?(?P<sandbox>\.sandbox)?(?P<googledomain>\.googleapis\.com)?"
+        )
+
+        m = mtls_endpoint_re.match(api_endpoint)
+        name, mtls, sandbox, googledomain = m.groups()
+        if mtls or not googledomain:
+            return api_endpoint
+
+        if sandbox:
+            return api_endpoint.replace(
+                "sandbox.googleapis.com", "mtls.sandbox.googleapis.com"
+            )
+
+        return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com")
+
+    # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead.
+    DEFAULT_ENDPOINT = "dataplex.googleapis.com"
+    DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__(  # type: ignore
+        DEFAULT_ENDPOINT
+    )
+
+    _DEFAULT_ENDPOINT_TEMPLATE = "dataplex.{UNIVERSE_DOMAIN}"
+    _DEFAULT_UNIVERSE = "googleapis.com"
+
+    @classmethod
+    def from_service_account_info(cls, info: dict, *args, **kwargs):
+        """Creates an instance of this client using the provided credentials
+            info.
+
+        Args:
+            info (dict): The service account private key info.
+            args: Additional arguments to pass to the constructor.
+            kwargs: Additional arguments to pass to the constructor.
+
+        Returns:
+            DataplexServiceClient: The constructed client.
+        """
+        credentials = service_account.Credentials.from_service_account_info(info)
+        kwargs["credentials"] = credentials
+        return cls(*args, **kwargs)
+
+    @classmethod
+    def from_service_account_file(cls, filename: str, *args, **kwargs):
+        """Creates an instance of this client using the provided credentials
+            file.
+
+        Args:
+            filename (str): The path to the service account private key json
+                file.
+            args: Additional arguments to pass to the constructor.
+            kwargs: Additional arguments to pass to the constructor.
+
+        Returns:
+            DataplexServiceClient: The constructed client.
+        """
+        credentials = service_account.Credentials.from_service_account_file(
+            filename)
+        kwargs["credentials"] = credentials
+        return cls(*args, **kwargs)
+
+    from_service_account_json = from_service_account_file
+
+    @property
+    def transport(self) -> DataplexServiceTransport:
+        """Returns the transport used by the client instance.
+
+        Returns:
+            DataplexServiceTransport: The transport used by the client
+                instance.
+        """
+        return self._transport
+
+    @staticmethod
+    def action_path(project: str,location: str,lake: str,action: str,) -> str:
+        """Returns a fully-qualified action string."""
+        return "projects/{project}/locations/{location}/lakes/{lake}/actions/{action}".format(project=project, location=location, lake=lake, action=action, )
+
+    @staticmethod
+    def parse_action_path(path: str) -> Dict[str,str]:
+        """Parses a action path into its component segments."""
+        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/lakes/(?P<lake>.+?)/actions/(?P<action>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @staticmethod
+    def asset_path(project: str,location: str,lake: str,zone: str,asset: str,) -> str:
+        """Returns a fully-qualified asset string."""
+        return "projects/{project}/locations/{location}/lakes/{lake}/zones/{zone}/assets/{asset}".format(project=project, location=location, lake=lake, zone=zone, asset=asset, )
+
+    @staticmethod
+    def parse_asset_path(path: str) -> Dict[str,str]:
+        """Parses a asset path into its component segments."""
+        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/lakes/(?P<lake>.+?)/zones/(?P<zone>.+?)/assets/(?P<asset>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @staticmethod
+    def environment_path(project: str,location: str,lake: str,environment: str,) -> str:
+        """Returns a fully-qualified environment string."""
+        return "projects/{project}/locations/{location}/lakes/{lake}/environments/{environment}".format(project=project, location=location, lake=lake, environment=environment, )
+
+    @staticmethod
+    def parse_environment_path(path: str) -> Dict[str,str]:
+        """Parses a environment path into its component segments."""
+        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/lakes/(?P<lake>.+?)/environments/(?P<environment>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @staticmethod
+    def job_path(project: str,location: str,lake: str,task: str,job: str,) -> str:
+        """Returns a fully-qualified job string."""
+        return "projects/{project}/locations/{location}/lakes/{lake}/tasks/{task}/jobs/{job}".format(project=project, location=location, lake=lake, task=task, job=job, )
+
+    @staticmethod
+    def parse_job_path(path: str) -> Dict[str,str]:
+        """Parses a job path into its component segments."""
+        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/lakes/(?P<lake>.+?)/tasks/(?P<task>.+?)/jobs/(?P<job>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @staticmethod
+    def lake_path(project: str,location: str,lake: str,) -> str:
+        """Returns a fully-qualified lake string."""
+        return "projects/{project}/locations/{location}/lakes/{lake}".format(project=project, location=location, lake=lake, )
+
+    @staticmethod
+    def parse_lake_path(path: str) -> Dict[str,str]:
+        """Parses a lake path into its component segments."""
+        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/lakes/(?P<lake>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @staticmethod
+    def session_path(project: str,location: str,lake: str,environment: str,session: str,) -> str:
+        """Returns a fully-qualified session string."""
+        return "projects/{project}/locations/{location}/lakes/{lake}/environments/{environment}/sessions/{session}".format(project=project, location=location, lake=lake, environment=environment, session=session, )
+
+    @staticmethod
+    def parse_session_path(path: str) -> Dict[str,str]:
+        """Parses a session path into its component segments."""
+        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/lakes/(?P<lake>.+?)/environments/(?P<environment>.+?)/sessions/(?P<session>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @staticmethod
+    def task_path(project: str,location: str,lake: str,task: str,) -> str:
+        """Returns a fully-qualified task string."""
+        return "projects/{project}/locations/{location}/lakes/{lake}/tasks/{task}".format(project=project, location=location, lake=lake, task=task, )
+
+    @staticmethod
+    def parse_task_path(path: str) -> Dict[str,str]:
+        """Parses a task path into its component segments."""
+        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/lakes/(?P<lake>.+?)/tasks/(?P<task>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @staticmethod
+    def zone_path(project: str,location: str,lake: str,zone: str,) -> str:
+        """Returns a fully-qualified zone string."""
+        return "projects/{project}/locations/{location}/lakes/{lake}/zones/{zone}".format(project=project, location=location, lake=lake, zone=zone, )
+
+    @staticmethod
+    def parse_zone_path(path: str) -> Dict[str,str]:
+        """Parses a zone path into its component segments."""
+        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/lakes/(?P<lake>.+?)/zones/(?P<zone>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @staticmethod
+    def common_billing_account_path(billing_account: str, ) -> str:
+        """Returns a fully-qualified billing_account string."""
+        return "billingAccounts/{billing_account}".format(billing_account=billing_account, )
+
+    @staticmethod
+    def parse_common_billing_account_path(path: str) -> Dict[str,str]:
+        """Parse a billing_account path into its component segments."""
+        m = re.match(r"^billingAccounts/(?P<billing_account>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @staticmethod
+    def common_folder_path(folder: str, ) -> str:
+        """Returns a fully-qualified folder string."""
+        return "folders/{folder}".format(folder=folder, )
+
+    @staticmethod
+    def parse_common_folder_path(path: str) -> Dict[str,str]:
+        """Parse a folder path into its component segments."""
+        m = re.match(r"^folders/(?P<folder>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @staticmethod
+    def common_organization_path(organization: str, ) -> str:
+        """Returns a fully-qualified organization string."""
+        return "organizations/{organization}".format(organization=organization, )
+
+    @staticmethod
+    def parse_common_organization_path(path: str) -> Dict[str,str]:
+        """Parse a organization path into its component segments."""
+        m = re.match(r"^organizations/(?P<organization>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @staticmethod
+    def common_project_path(project: str, ) -> str:
+        """Returns a fully-qualified project string."""
+        return "projects/{project}".format(project=project, )
+
+    @staticmethod
+    def parse_common_project_path(path: str) -> Dict[str,str]:
+        """Parse a project path into its component segments."""
+        m = re.match(r"^projects/(?P<project>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @staticmethod
+    def common_location_path(project: str, location: str, ) -> str:
+        """Returns a fully-qualified location string."""
+        return "projects/{project}/locations/{location}".format(project=project, location=location, )
+
+    @staticmethod
+    def parse_common_location_path(path: str) -> Dict[str,str]:
+        """Parse a location path into its component segments."""
+        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @classmethod
+    def get_mtls_endpoint_and_cert_source(cls, client_options: Optional[client_options_lib.ClientOptions] = None):
+        """Deprecated. Return the API endpoint and client cert source for mutual TLS.
+
+        The client cert source is determined in the following order:
+        (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the
+        client cert source is None.
+        (2) if `client_options.client_cert_source` is provided, use the provided one; if the
+        default client cert source exists, use the default one; otherwise the client cert
+        source is None.
+
+        The API endpoint is determined in the following order:
+        (1) if `client_options.api_endpoint` if provided, use the provided one.
+        (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the
+        default mTLS endpoint; if the environment variable is "never", use the default API
+        endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise
+        use the default API endpoint.
+
+        More details can be found at https://google.aip.dev/auth/4114.
+
+        Args:
+            client_options (google.api_core.client_options.ClientOptions): Custom options for the
+                client. Only the `api_endpoint` and `client_cert_source` properties may be used
+                in this method.
+
+        Returns:
+            Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the
+                client cert source to use.
+
+        Raises:
+            google.auth.exceptions.MutualTLSChannelError: If any errors happen.
+        """
+
+        warnings.warn("get_mtls_endpoint_and_cert_source is deprecated. Use the api_endpoint property instead.",
+            DeprecationWarning)
+        if client_options is None:
+            client_options = client_options_lib.ClientOptions()
+        use_client_cert = os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false")
+        use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto")
+        if use_client_cert not in ("true", "false"):
+            raise ValueError("Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`")
+        if use_mtls_endpoint not in ("auto", "never", "always"):
+            raise MutualTLSChannelError("Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`")
+
+        # Figure out the client cert source to use.
+        client_cert_source = None
+        if use_client_cert == "true":
+            if client_options.client_cert_source:
+                client_cert_source = client_options.client_cert_source
+            elif mtls.has_default_client_cert_source():
+                client_cert_source = mtls.default_client_cert_source()
+
+        # Figure out which api endpoint to use.
+        if client_options.api_endpoint is not None:
+            api_endpoint = client_options.api_endpoint
+        elif use_mtls_endpoint == "always" or (use_mtls_endpoint == "auto" and client_cert_source):
+            api_endpoint = cls.DEFAULT_MTLS_ENDPOINT
+        else:
+            api_endpoint = cls.DEFAULT_ENDPOINT
+
+        return api_endpoint, client_cert_source
+
+    @staticmethod
+    def _read_environment_variables():
+        """Returns the environment variables used by the client.
+
+        Returns:
+            Tuple[bool, str, str]: returns the GOOGLE_API_USE_CLIENT_CERTIFICATE,
+            GOOGLE_API_USE_MTLS_ENDPOINT, and GOOGLE_CLOUD_UNIVERSE_DOMAIN environment variables.
+
+        Raises:
+            ValueError: If GOOGLE_API_USE_CLIENT_CERTIFICATE is not
+                any of ["true", "false"].
+            google.auth.exceptions.MutualTLSChannelError: If GOOGLE_API_USE_MTLS_ENDPOINT
+                is not any of ["auto", "never", "always"].
+        """
+        use_client_cert = os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false").lower()
+        use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto").lower()
+        universe_domain_env = os.getenv("GOOGLE_CLOUD_UNIVERSE_DOMAIN")
+        if use_client_cert not in ("true", "false"):
+            raise ValueError("Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`")
+        if use_mtls_endpoint not in ("auto", "never", "always"):
+            raise MutualTLSChannelError("Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`")
+        return use_client_cert == "true", use_mtls_endpoint, universe_domain_env
+
+    @staticmethod
+    def _get_client_cert_source(provided_cert_source, use_cert_flag):
+        """Return the client cert source to be used by the client.
+
+        Args:
+            provided_cert_source (bytes): The client certificate source provided.
+            use_cert_flag (bool): A flag indicating whether to use the client certificate.
+
+        Returns:
+            bytes or None: The client cert source to be used by the client.
+        """
+        client_cert_source = None
+        if use_cert_flag:
+            if provided_cert_source:
+                client_cert_source = provided_cert_source
+            elif mtls.has_default_client_cert_source():
+                client_cert_source = mtls.default_client_cert_source()
+        return client_cert_source
+
+    @staticmethod
+    def _get_api_endpoint(api_override, client_cert_source, universe_domain, use_mtls_endpoint):
+        """Return the API endpoint used by the client.
+
+        Args:
+            api_override (str): The API endpoint override. If specified, this is always
+                the return value of this function and the other arguments are not used.
+            client_cert_source (bytes): The client certificate source used by the client.
+            universe_domain (str): The universe domain used by the client.
+            use_mtls_endpoint (str): How to use the mTLS endpoint, which depends also on the other parameters.
+                Possible values are "always", "auto", or "never".
+
+        Returns:
+            str: The API endpoint to be used by the client.
+        """
+        if api_override is not None:
+            api_endpoint = api_override
+        elif use_mtls_endpoint == "always" or (use_mtls_endpoint == "auto" and client_cert_source):
+            _default_universe = DataplexServiceClient._DEFAULT_UNIVERSE
+            if universe_domain != _default_universe:
+                raise MutualTLSChannelError(f"mTLS is not supported in any universe other than {_default_universe}.")
+            api_endpoint = DataplexServiceClient.DEFAULT_MTLS_ENDPOINT
+        else:
+            api_endpoint = DataplexServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=universe_domain)
+        return api_endpoint
+
+    @staticmethod
+    def _get_universe_domain(client_universe_domain: Optional[str], universe_domain_env: Optional[str]) -> str:
+        """Return the universe domain used by the client.
+
+        Args:
+            client_universe_domain (Optional[str]): The universe domain configured via the client options.
+            universe_domain_env (Optional[str]): The universe domain configured via the "GOOGLE_CLOUD_UNIVERSE_DOMAIN" environment variable.
+
+        Returns:
+            str: The universe domain to be used by the client.
+
+        Raises:
+            ValueError: If the universe domain is an empty string.
+        """
+        universe_domain = DataplexServiceClient._DEFAULT_UNIVERSE
+        if client_universe_domain is not None:
+            universe_domain = client_universe_domain
+        elif universe_domain_env is not None:
+            universe_domain = universe_domain_env
+        if len(universe_domain.strip()) == 0:
+            raise ValueError("Universe Domain cannot be an empty string.")
+        return universe_domain
+
+    def _validate_universe_domain(self):
+        """Validates client's and credentials' universe domains are consistent.
+
+        Returns:
+            bool: True iff the configured universe domain is valid.
+
+        Raises:
+            ValueError: If the configured universe domain is not valid.
+        """
+
+        # NOTE (b/349488459): universe validation is disabled until further notice.
+        return True
+
+    @property
+    def api_endpoint(self):
+        """Return the API endpoint used by the client instance.
+
+        Returns:
+            str: The API endpoint used by the client instance.
+        """
+        return self._api_endpoint
+
+    @property
+    def universe_domain(self) -> str:
+        """Return the universe domain used by the client instance.
+
+        Returns:
+            str: The universe domain used by the client instance.
+        """
+        return self._universe_domain
+
+    def __init__(self, *,
+            credentials: Optional[ga_credentials.Credentials] = None,
+            transport: Optional[Union[str, DataplexServiceTransport, Callable[..., DataplexServiceTransport]]] = None,
+            client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None,
+            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
+            ) -> None:
+        """Instantiates the dataplex service client.
+
+        Args:
+            credentials (Optional[google.auth.credentials.Credentials]): The
+                authorization credentials to attach to requests. These
+                credentials identify the application to the service; if none
+                are specified, the client will attempt to ascertain the
+                credentials from the environment.
+            transport (Optional[Union[str,DataplexServiceTransport,Callable[..., DataplexServiceTransport]]]):
+                The transport to use, or a Callable that constructs and returns a new transport.
+                If a Callable is given, it will be called with the same set of initialization
+                arguments as used in the DataplexServiceTransport constructor.
+                If set to None, a transport is chosen automatically.
+            client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]):
+                Custom options for the client.
+
+                1. The ``api_endpoint`` property can be used to override the
+                default endpoint provided by the client when ``transport`` is
+                not explicitly provided. Only if this property is not set and
+                ``transport`` was not explicitly provided, the endpoint is
+                determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment
+                variable, which have one of the following values:
+                "always" (always use the default mTLS endpoint), "never" (always
+                use the default regular endpoint) and "auto" (auto-switch to the
+                default mTLS endpoint if client certificate is present; this is
+                the default value).
+
+                2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable
+                is "true", then the ``client_cert_source`` property can be used
+                to provide a client certificate for mTLS transport. If
+                not provided, the default SSL client certificate will be used if
+                present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not
+                set, no client certificate will be used.
+
+                3. The ``universe_domain`` property can be used to override the
+                default "googleapis.com" universe. Note that the ``api_endpoint``
+                property still takes precedence; and ``universe_domain`` is
+                currently not supported for mTLS.
+
+            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
+                The client info used to send a user-agent string along with
+                API requests. If ``None``, then default info will be used.
+                Generally, you only need to set this if you're developing
+                your own client library.
+
+        Raises:
+            google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport
+                creation failed for any reason.
+        """
+        self._client_options = client_options
+        if isinstance(self._client_options, dict):
+            self._client_options = client_options_lib.from_dict(self._client_options)
+        if self._client_options is None:
+            self._client_options = client_options_lib.ClientOptions()
+        self._client_options = cast(client_options_lib.ClientOptions, self._client_options)
+
+        universe_domain_opt = getattr(self._client_options, 'universe_domain', None)
+
+        self._use_client_cert, self._use_mtls_endpoint, self._universe_domain_env = DataplexServiceClient._read_environment_variables()
+        self._client_cert_source = DataplexServiceClient._get_client_cert_source(self._client_options.client_cert_source, self._use_client_cert)
+        self._universe_domain = DataplexServiceClient._get_universe_domain(universe_domain_opt, self._universe_domain_env)
+        self._api_endpoint = None # updated below, depending on `transport`
+
+        # Initialize the universe domain validation.
+        self._is_universe_domain_valid = False
+
+        api_key_value = getattr(self._client_options, "api_key", None)
+        if api_key_value and credentials:
+            raise ValueError("client_options.api_key and credentials are mutually exclusive")
+
+        # Save or instantiate the transport.
+        # Ordinarily, we provide the transport, but allowing a custom transport
+        # instance provides an extensibility point for unusual situations.
+        transport_provided = isinstance(transport, DataplexServiceTransport)
+        if transport_provided:
+            # transport is a DataplexServiceTransport instance.
+            if credentials or self._client_options.credentials_file or api_key_value:
+                raise ValueError("When providing a transport instance, "
+                                 "provide its credentials directly.")
+            if self._client_options.scopes:
+                raise ValueError(
+                    "When providing a transport instance, provide its scopes "
+                    "directly."
+                )
+            self._transport = cast(DataplexServiceTransport, transport)
+            self._api_endpoint = self._transport.host
+
+        self._api_endpoint = (self._api_endpoint or
+            DataplexServiceClient._get_api_endpoint(
+                self._client_options.api_endpoint,
+                self._client_cert_source,
+                self._universe_domain,
+                self._use_mtls_endpoint))
+
+        if not transport_provided:
+            import google.auth._default  # type: ignore
+
+            if api_key_value and hasattr(google.auth._default, "get_api_key_credentials"):
+                credentials = google.auth._default.get_api_key_credentials(api_key_value)
+
+            transport_init: Union[Type[DataplexServiceTransport], Callable[..., DataplexServiceTransport]] = (
+                DataplexServiceClient.get_transport_class(transport)
+                if isinstance(transport, str) or transport is None
+                else cast(Callable[..., DataplexServiceTransport], transport)
+            )
+            # initialize with the provided callable or the passed in class
+            self._transport = transport_init(
+                credentials=credentials,
+                credentials_file=self._client_options.credentials_file,
+                host=self._api_endpoint,
+                scopes=self._client_options.scopes,
+                client_cert_source_for_mtls=self._client_cert_source,
+                quota_project_id=self._client_options.quota_project_id,
+                client_info=client_info,
+                always_use_jwt_access=True,
+                api_audience=self._client_options.api_audience,
+            )
+
+    def create_lake(self,
+            request: Optional[Union[service.CreateLakeRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            lake: Optional[resources.Lake] = None,
+            lake_id: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation.Operation:
+        r"""Creates a lake resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_create_lake():
+                # Create a client
+                client = dataplex_v1.DataplexServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.CreateLakeRequest(
+                    parent="parent_value",
+                    lake_id="lake_id_value",
+                )
+
+                # Make the request
+                operation = client.create_lake(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = operation.result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.CreateLakeRequest, dict]):
+                The request object. Create lake request.
+            parent (str):
+                Required. The resource name of the lake location, of the
+                form: projects/{project_number}/locations/{location_id}
+                where ``location_id`` refers to a GCP region.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            lake (google.cloud.dataplex_v1.types.Lake):
+                Required. Lake resource
+                This corresponds to the ``lake`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            lake_id (str):
+                Required. Lake identifier. This ID will be used to
+                generate names such as database and dataset names when
+                publishing metadata to Hive Metastore and BigQuery.
+
+                -  Must contain only lowercase letters, numbers and
+                   hyphens.
+                -  Must start with a letter.
+                -  Must end with a number or a letter.
+                -  Must be between 1-63 characters.
+                -  Must be unique within the customer project /
+                   location.
+
+                This corresponds to the ``lake_id`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation.Operation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.Lake` A lake is a centralized repository for managing enterprise data across the
+                   organization distributed across many cloud projects,
+                   and stored in a variety of storage services such as
+                   Google Cloud Storage and BigQuery. The resources
+                   attached to a lake are referred to as managed
+                   resources. Data within these managed resources can be
+                   structured or unstructured. A lake provides data
+                   admins with tools to organize, secure and manage
+                   their data at scale, and provides data scientists and
+                   data engineers an integrated experience to easily
+                   search, discover, analyze and transform data and
+                   associated metadata.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent, lake, lake_id])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.CreateLakeRequest):
+            request = service.CreateLakeRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if parent is not None:
+                request.parent = parent
+            if lake is not None:
+                request.lake = lake
+            if lake_id is not None:
+                request.lake_id = lake_id
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.create_lake]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation.from_gapic(
+            response,
+            self._transport.operations_client,
+            resources.Lake,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def update_lake(self,
+            request: Optional[Union[service.UpdateLakeRequest, dict]] = None,
+            *,
+            lake: Optional[resources.Lake] = None,
+            update_mask: Optional[field_mask_pb2.FieldMask] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation.Operation:
+        r"""Updates a lake resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_update_lake():
+                # Create a client
+                client = dataplex_v1.DataplexServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.UpdateLakeRequest(
+                )
+
+                # Make the request
+                operation = client.update_lake(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = operation.result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.UpdateLakeRequest, dict]):
+                The request object. Update lake request.
+            lake (google.cloud.dataplex_v1.types.Lake):
+                Required. Update description. Only fields specified in
+                ``update_mask`` are updated.
+
+                This corresponds to the ``lake`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            update_mask (google.protobuf.field_mask_pb2.FieldMask):
+                Required. Mask of fields to update.
+                This corresponds to the ``update_mask`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation.Operation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.Lake` A lake is a centralized repository for managing enterprise data across the
+                   organization distributed across many cloud projects,
+                   and stored in a variety of storage services such as
+                   Google Cloud Storage and BigQuery. The resources
+                   attached to a lake are referred to as managed
+                   resources. Data within these managed resources can be
+                   structured or unstructured. A lake provides data
+                   admins with tools to organize, secure and manage
+                   their data at scale, and provides data scientists and
+                   data engineers an integrated experience to easily
+                   search, discover, analyze and transform data and
+                   associated metadata.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([lake, update_mask])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.UpdateLakeRequest):
+            request = service.UpdateLakeRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if lake is not None:
+                request.lake = lake
+            if update_mask is not None:
+                request.update_mask = update_mask
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.update_lake]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("lake.name", request.lake.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation.from_gapic(
+            response,
+            self._transport.operations_client,
+            resources.Lake,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def delete_lake(self,
+            request: Optional[Union[service.DeleteLakeRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation.Operation:
+        r"""Deletes a lake resource. All zones within the lake
+        must be deleted before the lake can be deleted.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_delete_lake():
+                # Create a client
+                client = dataplex_v1.DataplexServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.DeleteLakeRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                operation = client.delete_lake(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = operation.result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.DeleteLakeRequest, dict]):
+                The request object. Delete lake request.
+            name (str):
+                Required. The resource name of the lake:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}``.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation.Operation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
+                   empty messages in your APIs. A typical example is to
+                   use it as the request or the response type of an API
+                   method. For instance:
+
+                      service Foo {
+                         rpc Bar(google.protobuf.Empty) returns
+                         (google.protobuf.Empty);
+
+                      }
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.DeleteLakeRequest):
+            request = service.DeleteLakeRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if name is not None:
+                request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.delete_lake]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation.from_gapic(
+            response,
+            self._transport.operations_client,
+            empty_pb2.Empty,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def list_lakes(self,
+            request: Optional[Union[service.ListLakesRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> pagers.ListLakesPager:
+        r"""Lists lake resources in a project and location.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_list_lakes():
+                # Create a client
+                client = dataplex_v1.DataplexServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.ListLakesRequest(
+                    parent="parent_value",
+                )
+
+                # Make the request
+                page_result = client.list_lakes(request=request)
+
+                # Handle the response
+                for response in page_result:
+                    print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.ListLakesRequest, dict]):
+                The request object. List lakes request.
+            parent (str):
+                Required. The resource name of the lake location, of the
+                form:
+                ``projects/{project_number}/locations/{location_id}``
+                where ``location_id`` refers to a GCP region.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.services.dataplex_service.pagers.ListLakesPager:
+                List lakes response.
+
+                Iterating over this object will yield
+                results and resolve additional pages
+                automatically.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.ListLakesRequest):
+            request = service.ListLakesRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if parent is not None:
+                request.parent = parent
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.list_lakes]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # This method is paged; wrap the response in a pager, which provides
+        # an `__iter__` convenience method.
+        response = pagers.ListLakesPager(
+            method=rpc,
+            request=request,
+            response=response,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def get_lake(self,
+            request: Optional[Union[service.GetLakeRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> resources.Lake:
+        r"""Retrieves a lake resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_get_lake():
+                # Create a client
+                client = dataplex_v1.DataplexServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.GetLakeRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                response = client.get_lake(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.GetLakeRequest, dict]):
+                The request object. Get lake request.
+            name (str):
+                Required. The resource name of the lake:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}``.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.Lake:
+                A lake is a centralized repository
+                for managing enterprise data across the
+                organization distributed across many
+                cloud projects, and stored in a variety
+                of storage services such as Google Cloud
+                Storage and BigQuery. The resources
+                attached to a lake are referred to as
+                managed resources. Data within these
+                managed resources can be structured or
+                unstructured. A lake provides data
+                admins with tools to organize, secure
+                and manage their data at scale, and
+                provides data scientists and data
+                engineers an integrated experience to
+                easily search, discover, analyze and
+                transform data and associated metadata.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.GetLakeRequest):
+            request = service.GetLakeRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if name is not None:
+                request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.get_lake]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def list_lake_actions(self,
+            request: Optional[Union[service.ListLakeActionsRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> pagers.ListLakeActionsPager:
+        r"""Lists action resources in a lake.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_list_lake_actions():
+                # Create a client
+                client = dataplex_v1.DataplexServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.ListLakeActionsRequest(
+                    parent="parent_value",
+                )
+
+                # Make the request
+                page_result = client.list_lake_actions(request=request)
+
+                # Handle the response
+                for response in page_result:
+                    print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.ListLakeActionsRequest, dict]):
+                The request object. List lake actions request.
+            parent (str):
+                Required. The resource name of the parent lake:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}``.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.services.dataplex_service.pagers.ListLakeActionsPager:
+                List actions response.
+
+                Iterating over this object will yield
+                results and resolve additional pages
+                automatically.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.ListLakeActionsRequest):
+            request = service.ListLakeActionsRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if parent is not None:
+                request.parent = parent
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.list_lake_actions]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # This method is paged; wrap the response in a pager, which provides
+        # an `__iter__` convenience method.
+        response = pagers.ListLakeActionsPager(
+            method=rpc,
+            request=request,
+            response=response,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def create_zone(self,
+            request: Optional[Union[service.CreateZoneRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            zone: Optional[resources.Zone] = None,
+            zone_id: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation.Operation:
+        r"""Creates a zone resource within a lake.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_create_zone():
+                # Create a client
+                client = dataplex_v1.DataplexServiceClient()
+
+                # Initialize request argument(s)
+                zone = dataplex_v1.Zone()
+                zone.type_ = "CURATED"
+                zone.resource_spec.location_type = "MULTI_REGION"
+
+                request = dataplex_v1.CreateZoneRequest(
+                    parent="parent_value",
+                    zone_id="zone_id_value",
+                    zone=zone,
+                )
+
+                # Make the request
+                operation = client.create_zone(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = operation.result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.CreateZoneRequest, dict]):
+                The request object. Create zone request.
+            parent (str):
+                Required. The resource name of the parent lake:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}``.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            zone (google.cloud.dataplex_v1.types.Zone):
+                Required. Zone resource.
+                This corresponds to the ``zone`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            zone_id (str):
+                Required. Zone identifier. This ID will be used to
+                generate names such as database and dataset names when
+                publishing metadata to Hive Metastore and BigQuery.
+
+                -  Must contain only lowercase letters, numbers and
+                   hyphens.
+                -  Must start with a letter.
+                -  Must end with a number or a letter.
+                -  Must be between 1-63 characters.
+                -  Must be unique across all lakes from all locations in
+                   a project.
+                -  Must not be one of the reserved IDs (i.e. "default",
+                   "global-temp")
+
+                This corresponds to the ``zone_id`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation.Operation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.Zone` A zone represents a logical group of related assets within a lake. A zone can
+                   be used to map to organizational structure or
+                   represent stages of data readiness from raw to
+                   curated. It provides managing behavior that is shared
+                   or inherited by all contained assets.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent, zone, zone_id])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.CreateZoneRequest):
+            request = service.CreateZoneRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if parent is not None:
+                request.parent = parent
+            if zone is not None:
+                request.zone = zone
+            if zone_id is not None:
+                request.zone_id = zone_id
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.create_zone]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation.from_gapic(
+            response,
+            self._transport.operations_client,
+            resources.Zone,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def update_zone(self,
+            request: Optional[Union[service.UpdateZoneRequest, dict]] = None,
+            *,
+            zone: Optional[resources.Zone] = None,
+            update_mask: Optional[field_mask_pb2.FieldMask] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation.Operation:
+        r"""Updates a zone resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_update_zone():
+                # Create a client
+                client = dataplex_v1.DataplexServiceClient()
+
+                # Initialize request argument(s)
+                zone = dataplex_v1.Zone()
+                zone.type_ = "CURATED"
+                zone.resource_spec.location_type = "MULTI_REGION"
+
+                request = dataplex_v1.UpdateZoneRequest(
+                    zone=zone,
+                )
+
+                # Make the request
+                operation = client.update_zone(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = operation.result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.UpdateZoneRequest, dict]):
+                The request object. Update zone request.
+            zone (google.cloud.dataplex_v1.types.Zone):
+                Required. Update description. Only fields specified in
+                ``update_mask`` are updated.
+
+                This corresponds to the ``zone`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            update_mask (google.protobuf.field_mask_pb2.FieldMask):
+                Required. Mask of fields to update.
+                This corresponds to the ``update_mask`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation.Operation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.Zone` A zone represents a logical group of related assets within a lake. A zone can
+                   be used to map to organizational structure or
+                   represent stages of data readiness from raw to
+                   curated. It provides managing behavior that is shared
+                   or inherited by all contained assets.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([zone, update_mask])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.UpdateZoneRequest):
+            request = service.UpdateZoneRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if zone is not None:
+                request.zone = zone
+            if update_mask is not None:
+                request.update_mask = update_mask
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.update_zone]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("zone.name", request.zone.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation.from_gapic(
+            response,
+            self._transport.operations_client,
+            resources.Zone,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def delete_zone(self,
+            request: Optional[Union[service.DeleteZoneRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation.Operation:
+        r"""Deletes a zone resource. All assets within a zone
+        must be deleted before the zone can be deleted.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_delete_zone():
+                # Create a client
+                client = dataplex_v1.DataplexServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.DeleteZoneRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                operation = client.delete_zone(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = operation.result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.DeleteZoneRequest, dict]):
+                The request object. Delete zone request.
+            name (str):
+                Required. The resource name of the zone:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}``.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation.Operation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
+                   empty messages in your APIs. A typical example is to
+                   use it as the request or the response type of an API
+                   method. For instance:
+
+                      service Foo {
+                         rpc Bar(google.protobuf.Empty) returns
+                         (google.protobuf.Empty);
+
+                      }
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.DeleteZoneRequest):
+            request = service.DeleteZoneRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if name is not None:
+                request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.delete_zone]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation.from_gapic(
+            response,
+            self._transport.operations_client,
+            empty_pb2.Empty,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def list_zones(self,
+            request: Optional[Union[service.ListZonesRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> pagers.ListZonesPager:
+        r"""Lists zone resources in a lake.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_list_zones():
+                # Create a client
+                client = dataplex_v1.DataplexServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.ListZonesRequest(
+                    parent="parent_value",
+                )
+
+                # Make the request
+                page_result = client.list_zones(request=request)
+
+                # Handle the response
+                for response in page_result:
+                    print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.ListZonesRequest, dict]):
+                The request object. List zones request.
+            parent (str):
+                Required. The resource name of the parent lake:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}``.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.services.dataplex_service.pagers.ListZonesPager:
+                List zones response.
+
+                Iterating over this object will yield
+                results and resolve additional pages
+                automatically.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.ListZonesRequest):
+            request = service.ListZonesRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if parent is not None:
+                request.parent = parent
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.list_zones]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # This method is paged; wrap the response in a pager, which provides
+        # an `__iter__` convenience method.
+        response = pagers.ListZonesPager(
+            method=rpc,
+            request=request,
+            response=response,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def get_zone(self,
+            request: Optional[Union[service.GetZoneRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> resources.Zone:
+        r"""Retrieves a zone resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_get_zone():
+                # Create a client
+                client = dataplex_v1.DataplexServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.GetZoneRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                response = client.get_zone(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.GetZoneRequest, dict]):
+                The request object. Get zone request.
+            name (str):
+                Required. The resource name of the zone:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}``.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.Zone:
+                A zone represents a logical group of
+                related assets within a lake. A zone can
+                be used to map to organizational
+                structure or represent stages of data
+                readiness from raw to curated. It
+                provides managing behavior that is
+                shared or inherited by all contained
+                assets.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.GetZoneRequest):
+            request = service.GetZoneRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if name is not None:
+                request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.get_zone]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def list_zone_actions(self,
+            request: Optional[Union[service.ListZoneActionsRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> pagers.ListZoneActionsPager:
+        r"""Lists action resources in a zone.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_list_zone_actions():
+                # Create a client
+                client = dataplex_v1.DataplexServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.ListZoneActionsRequest(
+                    parent="parent_value",
+                )
+
+                # Make the request
+                page_result = client.list_zone_actions(request=request)
+
+                # Handle the response
+                for response in page_result:
+                    print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.ListZoneActionsRequest, dict]):
+                The request object. List zone actions request.
+            parent (str):
+                Required. The resource name of the parent zone:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}``.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.services.dataplex_service.pagers.ListZoneActionsPager:
+                List actions response.
+
+                Iterating over this object will yield
+                results and resolve additional pages
+                automatically.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.ListZoneActionsRequest):
+            request = service.ListZoneActionsRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if parent is not None:
+                request.parent = parent
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.list_zone_actions]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # This method is paged; wrap the response in a pager, which provides
+        # an `__iter__` convenience method.
+        response = pagers.ListZoneActionsPager(
+            method=rpc,
+            request=request,
+            response=response,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def create_asset(self,
+            request: Optional[Union[service.CreateAssetRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            asset: Optional[resources.Asset] = None,
+            asset_id: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation.Operation:
+        r"""Creates an asset resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_create_asset():
+                # Create a client
+                client = dataplex_v1.DataplexServiceClient()
+
+                # Initialize request argument(s)
+                asset = dataplex_v1.Asset()
+                asset.resource_spec.type_ = "BIGQUERY_DATASET"
+
+                request = dataplex_v1.CreateAssetRequest(
+                    parent="parent_value",
+                    asset_id="asset_id_value",
+                    asset=asset,
+                )
+
+                # Make the request
+                operation = client.create_asset(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = operation.result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.CreateAssetRequest, dict]):
+                The request object. Create asset request.
+            parent (str):
+                Required. The resource name of the parent zone:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}``.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            asset (google.cloud.dataplex_v1.types.Asset):
+                Required. Asset resource.
+                This corresponds to the ``asset`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            asset_id (str):
+                Required. Asset identifier. This ID will be used to
+                generate names such as table names when publishing
+                metadata to Hive Metastore and BigQuery.
+
+                -  Must contain only lowercase letters, numbers and
+                   hyphens.
+                -  Must start with a letter.
+                -  Must end with a number or a letter.
+                -  Must be between 1-63 characters.
+                -  Must be unique within the zone.
+
+                This corresponds to the ``asset_id`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation.Operation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.Asset` An asset represents a cloud resource that is being managed within a lake as a
+                   member of a zone.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent, asset, asset_id])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.CreateAssetRequest):
+            request = service.CreateAssetRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if parent is not None:
+                request.parent = parent
+            if asset is not None:
+                request.asset = asset
+            if asset_id is not None:
+                request.asset_id = asset_id
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.create_asset]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation.from_gapic(
+            response,
+            self._transport.operations_client,
+            resources.Asset,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def update_asset(self,
+            request: Optional[Union[service.UpdateAssetRequest, dict]] = None,
+            *,
+            asset: Optional[resources.Asset] = None,
+            update_mask: Optional[field_mask_pb2.FieldMask] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation.Operation:
+        r"""Updates an asset resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_update_asset():
+                # Create a client
+                client = dataplex_v1.DataplexServiceClient()
+
+                # Initialize request argument(s)
+                asset = dataplex_v1.Asset()
+                asset.resource_spec.type_ = "BIGQUERY_DATASET"
+
+                request = dataplex_v1.UpdateAssetRequest(
+                    asset=asset,
+                )
+
+                # Make the request
+                operation = client.update_asset(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = operation.result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.UpdateAssetRequest, dict]):
+                The request object. Update asset request.
+            asset (google.cloud.dataplex_v1.types.Asset):
+                Required. Update description. Only fields specified in
+                ``update_mask`` are updated.
+
+                This corresponds to the ``asset`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            update_mask (google.protobuf.field_mask_pb2.FieldMask):
+                Required. Mask of fields to update.
+                This corresponds to the ``update_mask`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation.Operation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.Asset` An asset represents a cloud resource that is being managed within a lake as a
+                   member of a zone.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([asset, update_mask])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.UpdateAssetRequest):
+            request = service.UpdateAssetRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if asset is not None:
+                request.asset = asset
+            if update_mask is not None:
+                request.update_mask = update_mask
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.update_asset]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("asset.name", request.asset.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation.from_gapic(
+            response,
+            self._transport.operations_client,
+            resources.Asset,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def delete_asset(self,
+            request: Optional[Union[service.DeleteAssetRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation.Operation:
+        r"""Deletes an asset resource. The referenced storage
+        resource is detached (default) or deleted based on the
+        associated Lifecycle policy.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_delete_asset():
+                # Create a client
+                client = dataplex_v1.DataplexServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.DeleteAssetRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                operation = client.delete_asset(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = operation.result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.DeleteAssetRequest, dict]):
+                The request object. Delete asset request.
+            name (str):
+                Required. The resource name of the asset:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/assets/{asset_id}``.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation.Operation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
+                   empty messages in your APIs. A typical example is to
+                   use it as the request or the response type of an API
+                   method. For instance:
+
+                      service Foo {
+                         rpc Bar(google.protobuf.Empty) returns
+                         (google.protobuf.Empty);
+
+                      }
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.DeleteAssetRequest):
+            request = service.DeleteAssetRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if name is not None:
+                request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.delete_asset]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation.from_gapic(
+            response,
+            self._transport.operations_client,
+            empty_pb2.Empty,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def list_assets(self,
+            request: Optional[Union[service.ListAssetsRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> pagers.ListAssetsPager:
+        r"""Lists asset resources in a zone.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_list_assets():
+                # Create a client
+                client = dataplex_v1.DataplexServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.ListAssetsRequest(
+                    parent="parent_value",
+                )
+
+                # Make the request
+                page_result = client.list_assets(request=request)
+
+                # Handle the response
+                for response in page_result:
+                    print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.ListAssetsRequest, dict]):
+                The request object. List assets request.
+            parent (str):
+                Required. The resource name of the parent zone:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}``.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.services.dataplex_service.pagers.ListAssetsPager:
+                List assets response.
+
+                Iterating over this object will yield
+                results and resolve additional pages
+                automatically.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.ListAssetsRequest):
+            request = service.ListAssetsRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if parent is not None:
+                request.parent = parent
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.list_assets]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # This method is paged; wrap the response in a pager, which provides
+        # an `__iter__` convenience method.
+        response = pagers.ListAssetsPager(
+            method=rpc,
+            request=request,
+            response=response,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def get_asset(self,
+            request: Optional[Union[service.GetAssetRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> resources.Asset:
+        r"""Retrieves an asset resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_get_asset():
+                # Create a client
+                client = dataplex_v1.DataplexServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.GetAssetRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                response = client.get_asset(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.GetAssetRequest, dict]):
+                The request object. Get asset request.
+            name (str):
+                Required. The resource name of the asset:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/assets/{asset_id}``.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.Asset:
+                An asset represents a cloud resource
+                that is being managed within a lake as a
+                member of a zone.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.GetAssetRequest):
+            request = service.GetAssetRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if name is not None:
+                request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.get_asset]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def list_asset_actions(self,
+            request: Optional[Union[service.ListAssetActionsRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> pagers.ListAssetActionsPager:
+        r"""Lists action resources in an asset.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_list_asset_actions():
+                # Create a client
+                client = dataplex_v1.DataplexServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.ListAssetActionsRequest(
+                    parent="parent_value",
+                )
+
+                # Make the request
+                page_result = client.list_asset_actions(request=request)
+
+                # Handle the response
+                for response in page_result:
+                    print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.ListAssetActionsRequest, dict]):
+                The request object. List asset actions request.
+            parent (str):
+                Required. The resource name of the parent asset:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/assets/{asset_id}``.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.services.dataplex_service.pagers.ListAssetActionsPager:
+                List actions response.
+
+                Iterating over this object will yield
+                results and resolve additional pages
+                automatically.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.ListAssetActionsRequest):
+            request = service.ListAssetActionsRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if parent is not None:
+                request.parent = parent
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.list_asset_actions]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # This method is paged; wrap the response in a pager, which provides
+        # an `__iter__` convenience method.
+        response = pagers.ListAssetActionsPager(
+            method=rpc,
+            request=request,
+            response=response,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def create_task(self,
+            request: Optional[Union[service.CreateTaskRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            task: Optional[tasks.Task] = None,
+            task_id: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation.Operation:
+        r"""Creates a task resource within a lake.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_create_task():
+                # Create a client
+                client = dataplex_v1.DataplexServiceClient()
+
+                # Initialize request argument(s)
+                task = dataplex_v1.Task()
+                task.spark.main_jar_file_uri = "main_jar_file_uri_value"
+                task.trigger_spec.schedule = "schedule_value"
+                task.trigger_spec.type_ = "RECURRING"
+                task.execution_spec.service_account = "service_account_value"
+
+                request = dataplex_v1.CreateTaskRequest(
+                    parent="parent_value",
+                    task_id="task_id_value",
+                    task=task,
+                )
+
+                # Make the request
+                operation = client.create_task(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = operation.result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.CreateTaskRequest, dict]):
+                The request object. Create task request.
+            parent (str):
+                Required. The resource name of the parent lake:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}``.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            task (google.cloud.dataplex_v1.types.Task):
+                Required. Task resource.
+                This corresponds to the ``task`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            task_id (str):
+                Required. Task identifier.
+                This corresponds to the ``task_id`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation.Operation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be
+                :class:`google.cloud.dataplex_v1.types.Task` A task
+                represents a user-visible job.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent, task, task_id])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.CreateTaskRequest):
+            request = service.CreateTaskRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if parent is not None:
+                request.parent = parent
+            if task is not None:
+                request.task = task
+            if task_id is not None:
+                request.task_id = task_id
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.create_task]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation.from_gapic(
+            response,
+            self._transport.operations_client,
+            tasks.Task,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def update_task(self,
+            request: Optional[Union[service.UpdateTaskRequest, dict]] = None,
+            *,
+            task: Optional[tasks.Task] = None,
+            update_mask: Optional[field_mask_pb2.FieldMask] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation.Operation:
+        r"""Update the task resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_update_task():
+                # Create a client
+                client = dataplex_v1.DataplexServiceClient()
+
+                # Initialize request argument(s)
+                task = dataplex_v1.Task()
+                task.spark.main_jar_file_uri = "main_jar_file_uri_value"
+                task.trigger_spec.schedule = "schedule_value"
+                task.trigger_spec.type_ = "RECURRING"
+                task.execution_spec.service_account = "service_account_value"
+
+                request = dataplex_v1.UpdateTaskRequest(
+                    task=task,
+                )
+
+                # Make the request
+                operation = client.update_task(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = operation.result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.UpdateTaskRequest, dict]):
+                The request object. Update task request.
+            task (google.cloud.dataplex_v1.types.Task):
+                Required. Update description. Only fields specified in
+                ``update_mask`` are updated.
+
+                This corresponds to the ``task`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            update_mask (google.protobuf.field_mask_pb2.FieldMask):
+                Required. Mask of fields to update.
+                This corresponds to the ``update_mask`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation.Operation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be
+                :class:`google.cloud.dataplex_v1.types.Task` A task
+                represents a user-visible job.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([task, update_mask])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.UpdateTaskRequest):
+            request = service.UpdateTaskRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if task is not None:
+                request.task = task
+            if update_mask is not None:
+                request.update_mask = update_mask
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.update_task]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("task.name", request.task.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation.from_gapic(
+            response,
+            self._transport.operations_client,
+            tasks.Task,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def delete_task(self,
+            request: Optional[Union[service.DeleteTaskRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation.Operation:
+        r"""Delete the task resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_delete_task():
+                # Create a client
+                client = dataplex_v1.DataplexServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.DeleteTaskRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                operation = client.delete_task(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = operation.result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.DeleteTaskRequest, dict]):
+                The request object. Delete task request.
+            name (str):
+                Required. The resource name of the task:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/task/{task_id}``.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation.Operation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
+                   empty messages in your APIs. A typical example is to
+                   use it as the request or the response type of an API
+                   method. For instance:
+
+                      service Foo {
+                         rpc Bar(google.protobuf.Empty) returns
+                         (google.protobuf.Empty);
+
+                      }
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.DeleteTaskRequest):
+            request = service.DeleteTaskRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if name is not None:
+                request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.delete_task]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation.from_gapic(
+            response,
+            self._transport.operations_client,
+            empty_pb2.Empty,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def list_tasks(self,
+            request: Optional[Union[service.ListTasksRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> pagers.ListTasksPager:
+        r"""Lists tasks under the given lake.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_list_tasks():
+                # Create a client
+                client = dataplex_v1.DataplexServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.ListTasksRequest(
+                    parent="parent_value",
+                )
+
+                # Make the request
+                page_result = client.list_tasks(request=request)
+
+                # Handle the response
+                for response in page_result:
+                    print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.ListTasksRequest, dict]):
+                The request object. List tasks request.
+            parent (str):
+                Required. The resource name of the parent lake:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}``.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.services.dataplex_service.pagers.ListTasksPager:
+                List tasks response.
+
+                Iterating over this object will yield
+                results and resolve additional pages
+                automatically.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.ListTasksRequest):
+            request = service.ListTasksRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if parent is not None:
+                request.parent = parent
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.list_tasks]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # This method is paged; wrap the response in a pager, which provides
+        # an `__iter__` convenience method.
+        response = pagers.ListTasksPager(
+            method=rpc,
+            request=request,
+            response=response,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def get_task(self,
+            request: Optional[Union[service.GetTaskRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> tasks.Task:
+        r"""Get task resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_get_task():
+                # Create a client
+                client = dataplex_v1.DataplexServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.GetTaskRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                response = client.get_task(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.GetTaskRequest, dict]):
+                The request object. Get task request.
+            name (str):
+                Required. The resource name of the task:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/tasks/{tasks_id}``.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.Task:
+                A task represents a user-visible job.
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.GetTaskRequest):
+            request = service.GetTaskRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if name is not None:
+                request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.get_task]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def list_jobs(self,
+            request: Optional[Union[service.ListJobsRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> pagers.ListJobsPager:
+        r"""Lists Jobs under the given task.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_list_jobs():
+                # Create a client
+                client = dataplex_v1.DataplexServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.ListJobsRequest(
+                    parent="parent_value",
+                )
+
+                # Make the request
+                page_result = client.list_jobs(request=request)
+
+                # Handle the response
+                for response in page_result:
+                    print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.ListJobsRequest, dict]):
+                The request object. List jobs request.
+            parent (str):
+                Required. The resource name of the parent environment:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/tasks/{task_id}``.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.services.dataplex_service.pagers.ListJobsPager:
+                List jobs response.
+
+                Iterating over this object will yield
+                results and resolve additional pages
+                automatically.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.ListJobsRequest):
+            request = service.ListJobsRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if parent is not None:
+                request.parent = parent
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.list_jobs]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # This method is paged; wrap the response in a pager, which provides
+        # an `__iter__` convenience method.
+        response = pagers.ListJobsPager(
+            method=rpc,
+            request=request,
+            response=response,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def run_task(self,
+            request: Optional[Union[service.RunTaskRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> service.RunTaskResponse:
+        r"""Run an on demand execution of a Task.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_run_task():
+                # Create a client
+                client = dataplex_v1.DataplexServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.RunTaskRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                response = client.run_task(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.RunTaskRequest, dict]):
+                The request object.
+            name (str):
+                Required. The resource name of the task:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/tasks/{task_id}``.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.RunTaskResponse:
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.RunTaskRequest):
+            request = service.RunTaskRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if name is not None:
+                request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.run_task]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def get_job(self,
+            request: Optional[Union[service.GetJobRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> tasks.Job:
+        r"""Get job resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_get_job():
+                # Create a client
+                client = dataplex_v1.DataplexServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.GetJobRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                response = client.get_job(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.GetJobRequest, dict]):
+                The request object. Get job request.
+            name (str):
+                Required. The resource name of the job:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/tasks/{task_id}/jobs/{job_id}``.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.Job:
+                A job represents an instance of a
+                task.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.GetJobRequest):
+            request = service.GetJobRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if name is not None:
+                request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.get_job]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def cancel_job(self,
+            request: Optional[Union[service.CancelJobRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> None:
+        r"""Cancel jobs running for the task resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_cancel_job():
+                # Create a client
+                client = dataplex_v1.DataplexServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.CancelJobRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                client.cancel_job(request=request)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.CancelJobRequest, dict]):
+                The request object. Cancel task jobs.
+            name (str):
+                Required. The resource name of the job:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/task/{task_id}/job/{job_id}``.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.CancelJobRequest):
+            request = service.CancelJobRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if name is not None:
+                request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.cancel_job]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+    def create_environment(self,
+            request: Optional[Union[service.CreateEnvironmentRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            environment: Optional[analyze.Environment] = None,
+            environment_id: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation.Operation:
+        r"""Create an environment resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_create_environment():
+                # Create a client
+                client = dataplex_v1.DataplexServiceClient()
+
+                # Initialize request argument(s)
+                environment = dataplex_v1.Environment()
+                environment.infrastructure_spec.os_image.image_version = "image_version_value"
+
+                request = dataplex_v1.CreateEnvironmentRequest(
+                    parent="parent_value",
+                    environment_id="environment_id_value",
+                    environment=environment,
+                )
+
+                # Make the request
+                operation = client.create_environment(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = operation.result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.CreateEnvironmentRequest, dict]):
+                The request object. Create environment request.
+            parent (str):
+                Required. The resource name of the parent lake:
+                ``projects/{project_id}/locations/{location_id}/lakes/{lake_id}``.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            environment (google.cloud.dataplex_v1.types.Environment):
+                Required. Environment resource.
+                This corresponds to the ``environment`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            environment_id (str):
+                Required. Environment identifier.
+
+                -  Must contain only lowercase letters, numbers and
+                   hyphens.
+                -  Must start with a letter.
+                -  Must be between 1-63 characters.
+                -  Must end with a number or a letter.
+                -  Must be unique within the lake.
+
+                This corresponds to the ``environment_id`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation.Operation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.Environment` Environment represents a user-visible compute infrastructure for analytics
+                   within a lake.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent, environment, environment_id])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.CreateEnvironmentRequest):
+            request = service.CreateEnvironmentRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if parent is not None:
+                request.parent = parent
+            if environment is not None:
+                request.environment = environment
+            if environment_id is not None:
+                request.environment_id = environment_id
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.create_environment]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation.from_gapic(
+            response,
+            self._transport.operations_client,
+            analyze.Environment,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def update_environment(self,
+            request: Optional[Union[service.UpdateEnvironmentRequest, dict]] = None,
+            *,
+            environment: Optional[analyze.Environment] = None,
+            update_mask: Optional[field_mask_pb2.FieldMask] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation.Operation:
+        r"""Update the environment resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_update_environment():
+                # Create a client
+                client = dataplex_v1.DataplexServiceClient()
+
+                # Initialize request argument(s)
+                environment = dataplex_v1.Environment()
+                environment.infrastructure_spec.os_image.image_version = "image_version_value"
+
+                request = dataplex_v1.UpdateEnvironmentRequest(
+                    environment=environment,
+                )
+
+                # Make the request
+                operation = client.update_environment(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = operation.result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.UpdateEnvironmentRequest, dict]):
+                The request object. Update environment request.
+            environment (google.cloud.dataplex_v1.types.Environment):
+                Required. Update description. Only fields specified in
+                ``update_mask`` are updated.
+
+                This corresponds to the ``environment`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            update_mask (google.protobuf.field_mask_pb2.FieldMask):
+                Required. Mask of fields to update.
+                This corresponds to the ``update_mask`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation.Operation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.Environment` Environment represents a user-visible compute infrastructure for analytics
+                   within a lake.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([environment, update_mask])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.UpdateEnvironmentRequest):
+            request = service.UpdateEnvironmentRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if environment is not None:
+                request.environment = environment
+            if update_mask is not None:
+                request.update_mask = update_mask
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.update_environment]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("environment.name", request.environment.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation.from_gapic(
+            response,
+            self._transport.operations_client,
+            analyze.Environment,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def delete_environment(self,
+            request: Optional[Union[service.DeleteEnvironmentRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> operation.Operation:
+        r"""Delete the environment resource. All the child
+        resources must have been deleted before environment
+        deletion can be initiated.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_delete_environment():
+                # Create a client
+                client = dataplex_v1.DataplexServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.DeleteEnvironmentRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                operation = client.delete_environment(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = operation.result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.DeleteEnvironmentRequest, dict]):
+                The request object. Delete environment request.
+            name (str):
+                Required. The resource name of the environment:
+                ``projects/{project_id}/locations/{location_id}/lakes/{lake_id}/environments/{environment_id}``.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation.Operation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
+                   empty messages in your APIs. A typical example is to
+                   use it as the request or the response type of an API
+                   method. For instance:
+
+                      service Foo {
+                         rpc Bar(google.protobuf.Empty) returns
+                         (google.protobuf.Empty);
+
+                      }
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.DeleteEnvironmentRequest):
+            request = service.DeleteEnvironmentRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if name is not None:
+                request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.delete_environment]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation.from_gapic(
+            response,
+            self._transport.operations_client,
+            empty_pb2.Empty,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def list_environments(self,
+            request: Optional[Union[service.ListEnvironmentsRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> pagers.ListEnvironmentsPager:
+        r"""Lists environments under the given lake.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_list_environments():
+                # Create a client
+                client = dataplex_v1.DataplexServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.ListEnvironmentsRequest(
+                    parent="parent_value",
+                )
+
+                # Make the request
+                page_result = client.list_environments(request=request)
+
+                # Handle the response
+                for response in page_result:
+                    print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.ListEnvironmentsRequest, dict]):
+                The request object. List environments request.
+            parent (str):
+                Required. The resource name of the parent lake:
+                ``projects/{project_id}/locations/{location_id}/lakes/{lake_id}``.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.services.dataplex_service.pagers.ListEnvironmentsPager:
+                List environments response.
+
+                Iterating over this object will yield
+                results and resolve additional pages
+                automatically.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.ListEnvironmentsRequest):
+            request = service.ListEnvironmentsRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if parent is not None:
+                request.parent = parent
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.list_environments]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # This method is paged; wrap the response in a pager, which provides
+        # an `__iter__` convenience method.
+        response = pagers.ListEnvironmentsPager(
+            method=rpc,
+            request=request,
+            response=response,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def get_environment(self,
+            request: Optional[Union[service.GetEnvironmentRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> analyze.Environment:
+        r"""Get environment resource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_get_environment():
+                # Create a client
+                client = dataplex_v1.DataplexServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.GetEnvironmentRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                response = client.get_environment(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.GetEnvironmentRequest, dict]):
+                The request object. Get environment request.
+            name (str):
+                Required. The resource name of the environment:
+                ``projects/{project_id}/locations/{location_id}/lakes/{lake_id}/environments/{environment_id}``.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.Environment:
+                Environment represents a user-visible
+                compute infrastructure for analytics
+                within a lake.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.GetEnvironmentRequest):
+            request = service.GetEnvironmentRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if name is not None:
+                request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.get_environment]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def list_sessions(self,
+            request: Optional[Union[service.ListSessionsRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> pagers.ListSessionsPager:
+        r"""Lists session resources in an environment.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_list_sessions():
+                # Create a client
+                client = dataplex_v1.DataplexServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.ListSessionsRequest(
+                    parent="parent_value",
+                )
+
+                # Make the request
+                page_result = client.list_sessions(request=request)
+
+                # Handle the response
+                for response in page_result:
+                    print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.ListSessionsRequest, dict]):
+                The request object. List sessions request.
+            parent (str):
+                Required. The resource name of the parent environment:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/environment/{environment_id}``.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.services.dataplex_service.pagers.ListSessionsPager:
+                List sessions response.
+
+                Iterating over this object will yield
+                results and resolve additional pages
+                automatically.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, service.ListSessionsRequest):
+            request = service.ListSessionsRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if parent is not None:
+                request.parent = parent
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.list_sessions]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # This method is paged; wrap the response in a pager, which provides
+        # an `__iter__` convenience method.
+        response = pagers.ListSessionsPager(
+            method=rpc,
+            request=request,
+            response=response,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def __enter__(self) -> "DataplexServiceClient":
+        return self
+
+    def __exit__(self, type, value, traceback):
+        """Releases underlying transport's resources.
+
+        .. warning::
+            ONLY use as a context manager if the transport is NOT shared
+            with other clients! Exiting the with block will CLOSE the transport
+            and may cause errors in other clients!
+        """
+        self.transport.close()
+
+    def list_operations(
+        self,
+        request: Optional[operations_pb2.ListOperationsRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> operations_pb2.ListOperationsResponse:
+        r"""Lists operations that match the specified filter in the request.
+
+        Args:
+            request (:class:`~.operations_pb2.ListOperationsRequest`):
+                The request object. Request message for
+                `ListOperations` method.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.operations_pb2.ListOperationsResponse:
+                Response message for ``ListOperations`` method.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.ListOperationsRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.list_operations]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request, retry=retry, timeout=timeout, metadata=metadata,)
+
+        # Done; return the response.
+        return response
+
+    def get_operation(
+        self,
+        request: Optional[operations_pb2.GetOperationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> operations_pb2.Operation:
+        r"""Gets the latest state of a long-running operation.
+
+        Args:
+            request (:class:`~.operations_pb2.GetOperationRequest`):
+                The request object. Request message for
+                `GetOperation` method.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.operations_pb2.Operation:
+                An ``Operation`` object.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.GetOperationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.get_operation]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request, retry=retry, timeout=timeout, metadata=metadata,)
+
+        # Done; return the response.
+        return response
+
+    def delete_operation(
+        self,
+        request: Optional[operations_pb2.DeleteOperationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> None:
+        r"""Deletes a long-running operation.
+
+        This method indicates that the client is no longer interested
+        in the operation result. It does not cancel the operation.
+        If the server doesn't support this method, it returns
+        `google.rpc.Code.UNIMPLEMENTED`.
+
+        Args:
+            request (:class:`~.operations_pb2.DeleteOperationRequest`):
+                The request object. Request message for
+                `DeleteOperation` method.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            None
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.DeleteOperationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.delete_operation]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
+
+    def cancel_operation(
+        self,
+        request: Optional[operations_pb2.CancelOperationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> None:
+        r"""Starts asynchronous cancellation on a long-running operation.
+
+        The server makes a best effort to cancel the operation, but success
+        is not guaranteed.  If the server doesn't support this method, it returns
+        `google.rpc.Code.UNIMPLEMENTED`.
+
+        Args:
+            request (:class:`~.operations_pb2.CancelOperationRequest`):
+                The request object. Request message for
+                `CancelOperation` method.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            None
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.CancelOperationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.cancel_operation]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
+
+    def get_location(
+        self,
+        request: Optional[locations_pb2.GetLocationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> locations_pb2.Location:
+        r"""Gets information about a location.
+
+        Args:
+            request (:class:`~.location_pb2.GetLocationRequest`):
+                The request object. Request message for
+                `GetLocation` method.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                 if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.location_pb2.Location:
+                Location object.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = locations_pb2.GetLocationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.get_location]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request, retry=retry, timeout=timeout, metadata=metadata,)
+
+        # Done; return the response.
+        return response
+
+    def list_locations(
+        self,
+        request: Optional[locations_pb2.ListLocationsRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> locations_pb2.ListLocationsResponse:
+        r"""Lists information about the supported locations for this service.
+
+        Args:
+            request (:class:`~.location_pb2.ListLocationsRequest`):
+                The request object. Request message for
+                `ListLocations` method.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                 if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.location_pb2.ListLocationsResponse:
+                Response message for ``ListLocations`` method.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = locations_pb2.ListLocationsRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.list_locations]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request, retry=retry, timeout=timeout, metadata=metadata,)
+
+        # Done; return the response.
+        return response
+
+
+DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(gapic_version=package_version.__version__)
+
+
+__all__ = (
+    "DataplexServiceClient",
+)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/dataplex_service/pagers.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/dataplex_service/pagers.py
new file mode 100644
index 000000000000..394c731b72c9
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/dataplex_service/pagers.py
@@ -0,0 +1,1380 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from google.api_core import gapic_v1
+from google.api_core import retry as retries
+from google.api_core import retry_async as retries_async
+from typing import Any, AsyncIterator, Awaitable, Callable, Sequence, Tuple, Optional, Iterator, Union
+try:
+    OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None]
+    OptionalAsyncRetry = Union[retries_async.AsyncRetry, gapic_v1.method._MethodDefault, None]
+except AttributeError:  # pragma: NO COVER
+    OptionalRetry = Union[retries.Retry, object, None]  # type: ignore
+    OptionalAsyncRetry = Union[retries_async.AsyncRetry, object, None]  # type: ignore
+
+from google.cloud.dataplex_v1.types import analyze
+from google.cloud.dataplex_v1.types import resources
+from google.cloud.dataplex_v1.types import service
+from google.cloud.dataplex_v1.types import tasks
+
+
+class ListLakesPager:
+    """A pager for iterating through ``list_lakes`` requests.
+
+    This class thinly wraps an initial
+    :class:`google.cloud.dataplex_v1.types.ListLakesResponse` object, and
+    provides an ``__iter__`` method to iterate through its
+    ``lakes`` field.
+
+    If there are more pages, the ``__iter__`` method will make additional
+    ``ListLakes`` requests and continue to iterate
+    through the ``lakes`` field on the
+    corresponding responses.
+
+    All the usual :class:`google.cloud.dataplex_v1.types.ListLakesResponse`
+    attributes are available on the pager. If multiple requests are made, only
+    the most recent response is retained, and thus used for attribute lookup.
+    """
+    def __init__(self,
+            method: Callable[..., service.ListLakesResponse],
+            request: service.ListLakesRequest,
+            response: service.ListLakesResponse,
+            *,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = ()):
+        """Instantiate the pager.
+
+        Args:
+            method (Callable): The method that was originally called, and
+                which instantiated this pager.
+            request (google.cloud.dataplex_v1.types.ListLakesRequest):
+                The initial request object.
+            response (google.cloud.dataplex_v1.types.ListLakesResponse):
+                The initial response object.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        self._method = method
+        self._request = service.ListLakesRequest(request)
+        self._response = response
+        self._retry = retry
+        self._timeout = timeout
+        self._metadata = metadata
+
+    def __getattr__(self, name: str) -> Any:
+        return getattr(self._response, name)
+
+    @property
+    def pages(self) -> Iterator[service.ListLakesResponse]:
+        yield self._response
+        while self._response.next_page_token:
+            self._request.page_token = self._response.next_page_token
+            self._response = self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
+            yield self._response
+
+    def __iter__(self) -> Iterator[resources.Lake]:
+        for page in self.pages:
+            yield from page.lakes
+
+    def __repr__(self) -> str:
+        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
+
+
+class ListLakesAsyncPager:
+    """A pager for iterating through ``list_lakes`` requests.
+
+    This class thinly wraps an initial
+    :class:`google.cloud.dataplex_v1.types.ListLakesResponse` object, and
+    provides an ``__aiter__`` method to iterate through its
+    ``lakes`` field.
+
+    If there are more pages, the ``__aiter__`` method will make additional
+    ``ListLakes`` requests and continue to iterate
+    through the ``lakes`` field on the
+    corresponding responses.
+
+    All the usual :class:`google.cloud.dataplex_v1.types.ListLakesResponse`
+    attributes are available on the pager. If multiple requests are made, only
+    the most recent response is retained, and thus used for attribute lookup.
+    """
+    def __init__(self,
+            method: Callable[..., Awaitable[service.ListLakesResponse]],
+            request: service.ListLakesRequest,
+            response: service.ListLakesResponse,
+            *,
+            retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = ()):
+        """Instantiates the pager.
+
+        Args:
+            method (Callable): The method that was originally called, and
+                which instantiated this pager.
+            request (google.cloud.dataplex_v1.types.ListLakesRequest):
+                The initial request object.
+            response (google.cloud.dataplex_v1.types.ListLakesResponse):
+                The initial response object.
+            retry (google.api_core.retry.AsyncRetry): Designation of what errors,
+                if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        self._method = method
+        self._request = service.ListLakesRequest(request)
+        self._response = response
+        self._retry = retry
+        self._timeout = timeout
+        self._metadata = metadata
+
+    def __getattr__(self, name: str) -> Any:
+        return getattr(self._response, name)
+
+    @property
+    async def pages(self) -> AsyncIterator[service.ListLakesResponse]:
+        yield self._response
+        while self._response.next_page_token:
+            self._request.page_token = self._response.next_page_token
+            self._response = await self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
+            yield self._response
+    def __aiter__(self) -> AsyncIterator[resources.Lake]:
+        async def async_generator():
+            async for page in self.pages:
+                for response in page.lakes:
+                    yield response
+
+        return async_generator()
+
+    def __repr__(self) -> str:
+        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
+
+
+class ListLakeActionsPager:
+    """A pager for iterating through ``list_lake_actions`` requests.
+
+    This class thinly wraps an initial
+    :class:`google.cloud.dataplex_v1.types.ListActionsResponse` object, and
+    provides an ``__iter__`` method to iterate through its
+    ``actions`` field.
+
+    If there are more pages, the ``__iter__`` method will make additional
+    ``ListLakeActions`` requests and continue to iterate
+    through the ``actions`` field on the
+    corresponding responses.
+
+    All the usual :class:`google.cloud.dataplex_v1.types.ListActionsResponse`
+    attributes are available on the pager. If multiple requests are made, only
+    the most recent response is retained, and thus used for attribute lookup.
+    """
+    def __init__(self,
+            method: Callable[..., service.ListActionsResponse],
+            request: service.ListLakeActionsRequest,
+            response: service.ListActionsResponse,
+            *,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = ()):
+        """Instantiate the pager.
+
+        Args:
+            method (Callable): The method that was originally called, and
+                which instantiated this pager.
+            request (google.cloud.dataplex_v1.types.ListLakeActionsRequest):
+                The initial request object.
+            response (google.cloud.dataplex_v1.types.ListActionsResponse):
+                The initial response object.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        self._method = method
+        self._request = service.ListLakeActionsRequest(request)
+        self._response = response
+        self._retry = retry
+        self._timeout = timeout
+        self._metadata = metadata
+
+    def __getattr__(self, name: str) -> Any:
+        return getattr(self._response, name)
+
+    @property
+    def pages(self) -> Iterator[service.ListActionsResponse]:
+        yield self._response
+        while self._response.next_page_token:
+            self._request.page_token = self._response.next_page_token
+            self._response = self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
+            yield self._response
+
+    def __iter__(self) -> Iterator[resources.Action]:
+        for page in self.pages:
+            yield from page.actions
+
+    def __repr__(self) -> str:
+        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
+
+
+class ListLakeActionsAsyncPager:
+    """A pager for iterating through ``list_lake_actions`` requests.
+
+    This class thinly wraps an initial
+    :class:`google.cloud.dataplex_v1.types.ListActionsResponse` object, and
+    provides an ``__aiter__`` method to iterate through its
+    ``actions`` field.
+
+    If there are more pages, the ``__aiter__`` method will make additional
+    ``ListLakeActions`` requests and continue to iterate
+    through the ``actions`` field on the
+    corresponding responses.
+
+    All the usual :class:`google.cloud.dataplex_v1.types.ListActionsResponse`
+    attributes are available on the pager. If multiple requests are made, only
+    the most recent response is retained, and thus used for attribute lookup.
+    """
+    def __init__(self,
+            method: Callable[..., Awaitable[service.ListActionsResponse]],
+            request: service.ListLakeActionsRequest,
+            response: service.ListActionsResponse,
+            *,
+            retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = ()):
+        """Instantiates the pager.
+
+        Args:
+            method (Callable): The method that was originally called, and
+                which instantiated this pager.
+            request (google.cloud.dataplex_v1.types.ListLakeActionsRequest):
+                The initial request object.
+            response (google.cloud.dataplex_v1.types.ListActionsResponse):
+                The initial response object.
+            retry (google.api_core.retry.AsyncRetry): Designation of what errors,
+                if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        self._method = method
+        self._request = service.ListLakeActionsRequest(request)
+        self._response = response
+        self._retry = retry
+        self._timeout = timeout
+        self._metadata = metadata
+
+    def __getattr__(self, name: str) -> Any:
+        return getattr(self._response, name)
+
+    @property
+    async def pages(self) -> AsyncIterator[service.ListActionsResponse]:
+        yield self._response
+        while self._response.next_page_token:
+            self._request.page_token = self._response.next_page_token
+            self._response = await self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
+            yield self._response
+    def __aiter__(self) -> AsyncIterator[resources.Action]:
+        async def async_generator():
+            async for page in self.pages:
+                for response in page.actions:
+                    yield response
+
+        return async_generator()
+
+    def __repr__(self) -> str:
+        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
+
+
+class ListZonesPager:
+    """A pager for iterating through ``list_zones`` requests.
+
+    This class thinly wraps an initial
+    :class:`google.cloud.dataplex_v1.types.ListZonesResponse` object, and
+    provides an ``__iter__`` method to iterate through its
+    ``zones`` field.
+
+    If there are more pages, the ``__iter__`` method will make additional
+    ``ListZones`` requests and continue to iterate
+    through the ``zones`` field on the
+    corresponding responses.
+
+    All the usual :class:`google.cloud.dataplex_v1.types.ListZonesResponse`
+    attributes are available on the pager. If multiple requests are made, only
+    the most recent response is retained, and thus used for attribute lookup.
+    """
+    def __init__(self,
+            method: Callable[..., service.ListZonesResponse],
+            request: service.ListZonesRequest,
+            response: service.ListZonesResponse,
+            *,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = ()):
+        """Instantiate the pager.
+
+        Args:
+            method (Callable): The method that was originally called, and
+                which instantiated this pager.
+            request (google.cloud.dataplex_v1.types.ListZonesRequest):
+                The initial request object.
+            response (google.cloud.dataplex_v1.types.ListZonesResponse):
+                The initial response object.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        self._method = method
+        self._request = service.ListZonesRequest(request)
+        self._response = response
+        self._retry = retry
+        self._timeout = timeout
+        self._metadata = metadata
+
+    def __getattr__(self, name: str) -> Any:
+        return getattr(self._response, name)
+
+    @property
+    def pages(self) -> Iterator[service.ListZonesResponse]:
+        yield self._response
+        while self._response.next_page_token:
+            self._request.page_token = self._response.next_page_token
+            self._response = self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
+            yield self._response
+
+    def __iter__(self) -> Iterator[resources.Zone]:
+        for page in self.pages:
+            yield from page.zones
+
+    def __repr__(self) -> str:
+        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
+
+
+class ListZonesAsyncPager:
+    """A pager for iterating through ``list_zones`` requests.
+
+    This class thinly wraps an initial
+    :class:`google.cloud.dataplex_v1.types.ListZonesResponse` object, and
+    provides an ``__aiter__`` method to iterate through its
+    ``zones`` field.
+
+    If there are more pages, the ``__aiter__`` method will make additional
+    ``ListZones`` requests and continue to iterate
+    through the ``zones`` field on the
+    corresponding responses.
+
+    All the usual :class:`google.cloud.dataplex_v1.types.ListZonesResponse`
+    attributes are available on the pager. If multiple requests are made, only
+    the most recent response is retained, and thus used for attribute lookup.
+    """
+    def __init__(self,
+            method: Callable[..., Awaitable[service.ListZonesResponse]],
+            request: service.ListZonesRequest,
+            response: service.ListZonesResponse,
+            *,
+            retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = ()):
+        """Instantiates the pager.
+
+        Args:
+            method (Callable): The method that was originally called, and
+                which instantiated this pager.
+            request (google.cloud.dataplex_v1.types.ListZonesRequest):
+                The initial request object.
+            response (google.cloud.dataplex_v1.types.ListZonesResponse):
+                The initial response object.
+            retry (google.api_core.retry.AsyncRetry): Designation of what errors,
+                if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        self._method = method
+        self._request = service.ListZonesRequest(request)
+        self._response = response
+        self._retry = retry
+        self._timeout = timeout
+        self._metadata = metadata
+
+    def __getattr__(self, name: str) -> Any:
+        return getattr(self._response, name)
+
+    @property
+    async def pages(self) -> AsyncIterator[service.ListZonesResponse]:
+        yield self._response
+        while self._response.next_page_token:
+            self._request.page_token = self._response.next_page_token
+            self._response = await self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
+            yield self._response
+    def __aiter__(self) -> AsyncIterator[resources.Zone]:
+        async def async_generator():
+            async for page in self.pages:
+                for response in page.zones:
+                    yield response
+
+        return async_generator()
+
+    def __repr__(self) -> str:
+        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
+
+
+class ListZoneActionsPager:
+    """A pager for iterating through ``list_zone_actions`` requests.
+
+    This class thinly wraps an initial
+    :class:`google.cloud.dataplex_v1.types.ListActionsResponse` object, and
+    provides an ``__iter__`` method to iterate through its
+    ``actions`` field.
+
+    If there are more pages, the ``__iter__`` method will make additional
+    ``ListZoneActions`` requests and continue to iterate
+    through the ``actions`` field on the
+    corresponding responses.
+
+    All the usual :class:`google.cloud.dataplex_v1.types.ListActionsResponse`
+    attributes are available on the pager. If multiple requests are made, only
+    the most recent response is retained, and thus used for attribute lookup.
+    """
+    def __init__(self,
+            method: Callable[..., service.ListActionsResponse],
+            request: service.ListZoneActionsRequest,
+            response: service.ListActionsResponse,
+            *,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = ()):
+        """Instantiate the pager.
+
+        Args:
+            method (Callable): The method that was originally called, and
+                which instantiated this pager.
+            request (google.cloud.dataplex_v1.types.ListZoneActionsRequest):
+                The initial request object.
+            response (google.cloud.dataplex_v1.types.ListActionsResponse):
+                The initial response object.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        self._method = method
+        self._request = service.ListZoneActionsRequest(request)
+        self._response = response
+        self._retry = retry
+        self._timeout = timeout
+        self._metadata = metadata
+
+    def __getattr__(self, name: str) -> Any:
+        return getattr(self._response, name)
+
+    @property
+    def pages(self) -> Iterator[service.ListActionsResponse]:
+        yield self._response
+        while self._response.next_page_token:
+            self._request.page_token = self._response.next_page_token
+            self._response = self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
+            yield self._response
+
+    def __iter__(self) -> Iterator[resources.Action]:
+        for page in self.pages:
+            yield from page.actions
+
+    def __repr__(self) -> str:
+        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
+
+
+class ListZoneActionsAsyncPager:
+    """A pager for iterating through ``list_zone_actions`` requests.
+
+    This class thinly wraps an initial
+    :class:`google.cloud.dataplex_v1.types.ListActionsResponse` object, and
+    provides an ``__aiter__`` method to iterate through its
+    ``actions`` field.
+
+    If there are more pages, the ``__aiter__`` method will make additional
+    ``ListZoneActions`` requests and continue to iterate
+    through the ``actions`` field on the
+    corresponding responses.
+
+    All the usual :class:`google.cloud.dataplex_v1.types.ListActionsResponse`
+    attributes are available on the pager. If multiple requests are made, only
+    the most recent response is retained, and thus used for attribute lookup.
+    """
+    def __init__(self,
+            method: Callable[..., Awaitable[service.ListActionsResponse]],
+            request: service.ListZoneActionsRequest,
+            response: service.ListActionsResponse,
+            *,
+            retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = ()):
+        """Instantiates the pager.
+
+        Args:
+            method (Callable): The method that was originally called, and
+                which instantiated this pager.
+            request (google.cloud.dataplex_v1.types.ListZoneActionsRequest):
+                The initial request object.
+            response (google.cloud.dataplex_v1.types.ListActionsResponse):
+                The initial response object.
+            retry (google.api_core.retry.AsyncRetry): Designation of what errors,
+                if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        self._method = method
+        self._request = service.ListZoneActionsRequest(request)
+        self._response = response
+        self._retry = retry
+        self._timeout = timeout
+        self._metadata = metadata
+
+    def __getattr__(self, name: str) -> Any:
+        return getattr(self._response, name)
+
+    @property
+    async def pages(self) -> AsyncIterator[service.ListActionsResponse]:
+        yield self._response
+        while self._response.next_page_token:
+            self._request.page_token = self._response.next_page_token
+            self._response = await self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
+            yield self._response
+    def __aiter__(self) -> AsyncIterator[resources.Action]:
+        async def async_generator():
+            async for page in self.pages:
+                for response in page.actions:
+                    yield response
+
+        return async_generator()
+
+    def __repr__(self) -> str:
+        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
+
+
+class ListAssetsPager:
+    """A pager for iterating through ``list_assets`` requests.
+
+    This class thinly wraps an initial
+    :class:`google.cloud.dataplex_v1.types.ListAssetsResponse` object, and
+    provides an ``__iter__`` method to iterate through its
+    ``assets`` field.
+
+    If there are more pages, the ``__iter__`` method will make additional
+    ``ListAssets`` requests and continue to iterate
+    through the ``assets`` field on the
+    corresponding responses.
+
+    All the usual :class:`google.cloud.dataplex_v1.types.ListAssetsResponse`
+    attributes are available on the pager. If multiple requests are made, only
+    the most recent response is retained, and thus used for attribute lookup.
+    """
+    def __init__(self,
+            method: Callable[..., service.ListAssetsResponse],
+            request: service.ListAssetsRequest,
+            response: service.ListAssetsResponse,
+            *,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = ()):
+        """Instantiate the pager.
+
+        Args:
+            method (Callable): The method that was originally called, and
+                which instantiated this pager.
+            request (google.cloud.dataplex_v1.types.ListAssetsRequest):
+                The initial request object.
+            response (google.cloud.dataplex_v1.types.ListAssetsResponse):
+                The initial response object.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        self._method = method
+        self._request = service.ListAssetsRequest(request)
+        self._response = response
+        self._retry = retry
+        self._timeout = timeout
+        self._metadata = metadata
+
+    def __getattr__(self, name: str) -> Any:
+        return getattr(self._response, name)
+
+    @property
+    def pages(self) -> Iterator[service.ListAssetsResponse]:
+        yield self._response
+        while self._response.next_page_token:
+            self._request.page_token = self._response.next_page_token
+            self._response = self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
+            yield self._response
+
+    def __iter__(self) -> Iterator[resources.Asset]:
+        for page in self.pages:
+            yield from page.assets
+
+    def __repr__(self) -> str:
+        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
+
+
+class ListAssetsAsyncPager:
+    """A pager for iterating through ``list_assets`` requests.
+
+    This class thinly wraps an initial
+    :class:`google.cloud.dataplex_v1.types.ListAssetsResponse` object, and
+    provides an ``__aiter__`` method to iterate through its
+    ``assets`` field.
+
+    If there are more pages, the ``__aiter__`` method will make additional
+    ``ListAssets`` requests and continue to iterate
+    through the ``assets`` field on the
+    corresponding responses.
+
+    All the usual :class:`google.cloud.dataplex_v1.types.ListAssetsResponse`
+    attributes are available on the pager. If multiple requests are made, only
+    the most recent response is retained, and thus used for attribute lookup.
+    """
+    def __init__(self,
+            method: Callable[..., Awaitable[service.ListAssetsResponse]],
+            request: service.ListAssetsRequest,
+            response: service.ListAssetsResponse,
+            *,
+            retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = ()):
+        """Instantiates the pager.
+
+        Args:
+            method (Callable): The method that was originally called, and
+                which instantiated this pager.
+            request (google.cloud.dataplex_v1.types.ListAssetsRequest):
+                The initial request object.
+            response (google.cloud.dataplex_v1.types.ListAssetsResponse):
+                The initial response object.
+            retry (google.api_core.retry.AsyncRetry): Designation of what errors,
+                if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        self._method = method
+        self._request = service.ListAssetsRequest(request)
+        self._response = response
+        self._retry = retry
+        self._timeout = timeout
+        self._metadata = metadata
+
+    def __getattr__(self, name: str) -> Any:
+        return getattr(self._response, name)
+
+    @property
+    async def pages(self) -> AsyncIterator[service.ListAssetsResponse]:
+        yield self._response
+        while self._response.next_page_token:
+            self._request.page_token = self._response.next_page_token
+            self._response = await self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
+            yield self._response
+    def __aiter__(self) -> AsyncIterator[resources.Asset]:
+        async def async_generator():
+            async for page in self.pages:
+                for response in page.assets:
+                    yield response
+
+        return async_generator()
+
+    def __repr__(self) -> str:
+        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
+
+
+class ListAssetActionsPager:
+    """A pager for iterating through ``list_asset_actions`` requests.
+
+    This class thinly wraps an initial
+    :class:`google.cloud.dataplex_v1.types.ListActionsResponse` object, and
+    provides an ``__iter__`` method to iterate through its
+    ``actions`` field.
+
+    If there are more pages, the ``__iter__`` method will make additional
+    ``ListAssetActions`` requests and continue to iterate
+    through the ``actions`` field on the
+    corresponding responses.
+
+    All the usual :class:`google.cloud.dataplex_v1.types.ListActionsResponse`
+    attributes are available on the pager. If multiple requests are made, only
+    the most recent response is retained, and thus used for attribute lookup.
+    """
+    def __init__(self,
+            method: Callable[..., service.ListActionsResponse],
+            request: service.ListAssetActionsRequest,
+            response: service.ListActionsResponse,
+            *,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = ()):
+        """Instantiate the pager.
+
+        Args:
+            method (Callable): The method that was originally called, and
+                which instantiated this pager.
+            request (google.cloud.dataplex_v1.types.ListAssetActionsRequest):
+                The initial request object.
+            response (google.cloud.dataplex_v1.types.ListActionsResponse):
+                The initial response object.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        self._method = method
+        self._request = service.ListAssetActionsRequest(request)
+        self._response = response
+        self._retry = retry
+        self._timeout = timeout
+        self._metadata = metadata
+
+    def __getattr__(self, name: str) -> Any:
+        return getattr(self._response, name)
+
+    @property
+    def pages(self) -> Iterator[service.ListActionsResponse]:
+        yield self._response
+        while self._response.next_page_token:
+            self._request.page_token = self._response.next_page_token
+            self._response = self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
+            yield self._response
+
+    def __iter__(self) -> Iterator[resources.Action]:
+        for page in self.pages:
+            yield from page.actions
+
+    def __repr__(self) -> str:
+        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
+
+
+class ListAssetActionsAsyncPager:
+    """A pager for iterating through ``list_asset_actions`` requests.
+
+    This class thinly wraps an initial
+    :class:`google.cloud.dataplex_v1.types.ListActionsResponse` object, and
+    provides an ``__aiter__`` method to iterate through its
+    ``actions`` field.
+
+    If there are more pages, the ``__aiter__`` method will make additional
+    ``ListAssetActions`` requests and continue to iterate
+    through the ``actions`` field on the
+    corresponding responses.
+
+    All the usual :class:`google.cloud.dataplex_v1.types.ListActionsResponse`
+    attributes are available on the pager. If multiple requests are made, only
+    the most recent response is retained, and thus used for attribute lookup.
+    """
+    def __init__(self,
+            method: Callable[..., Awaitable[service.ListActionsResponse]],
+            request: service.ListAssetActionsRequest,
+            response: service.ListActionsResponse,
+            *,
+            retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = ()):
+        """Instantiates the pager.
+
+        Args:
+            method (Callable): The method that was originally called, and
+                which instantiated this pager.
+            request (google.cloud.dataplex_v1.types.ListAssetActionsRequest):
+                The initial request object.
+            response (google.cloud.dataplex_v1.types.ListActionsResponse):
+                The initial response object.
+            retry (google.api_core.retry.AsyncRetry): Designation of what errors,
+                if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        self._method = method
+        self._request = service.ListAssetActionsRequest(request)
+        self._response = response
+        self._retry = retry
+        self._timeout = timeout
+        self._metadata = metadata
+
+    def __getattr__(self, name: str) -> Any:
+        return getattr(self._response, name)
+
+    @property
+    async def pages(self) -> AsyncIterator[service.ListActionsResponse]:
+        yield self._response
+        while self._response.next_page_token:
+            self._request.page_token = self._response.next_page_token
+            self._response = await self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
+            yield self._response
+    def __aiter__(self) -> AsyncIterator[resources.Action]:
+        async def async_generator():
+            async for page in self.pages:
+                for response in page.actions:
+                    yield response
+
+        return async_generator()
+
+    def __repr__(self) -> str:
+        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
+
+
+class ListTasksPager:
+    """A pager for iterating through ``list_tasks`` requests.
+
+    This class thinly wraps an initial
+    :class:`google.cloud.dataplex_v1.types.ListTasksResponse` object, and
+    provides an ``__iter__`` method to iterate through its
+    ``tasks`` field.
+
+    If there are more pages, the ``__iter__`` method will make additional
+    ``ListTasks`` requests and continue to iterate
+    through the ``tasks`` field on the
+    corresponding responses.
+
+    All the usual :class:`google.cloud.dataplex_v1.types.ListTasksResponse`
+    attributes are available on the pager. If multiple requests are made, only
+    the most recent response is retained, and thus used for attribute lookup.
+    """
+    def __init__(self,
+            method: Callable[..., service.ListTasksResponse],
+            request: service.ListTasksRequest,
+            response: service.ListTasksResponse,
+            *,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = ()):
+        """Instantiate the pager.
+
+        Args:
+            method (Callable): The method that was originally called, and
+                which instantiated this pager.
+            request (google.cloud.dataplex_v1.types.ListTasksRequest):
+                The initial request object.
+            response (google.cloud.dataplex_v1.types.ListTasksResponse):
+                The initial response object.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        self._method = method
+        self._request = service.ListTasksRequest(request)
+        self._response = response
+        self._retry = retry
+        self._timeout = timeout
+        self._metadata = metadata
+
+    def __getattr__(self, name: str) -> Any:
+        return getattr(self._response, name)
+
+    @property
+    def pages(self) -> Iterator[service.ListTasksResponse]:
+        yield self._response
+        while self._response.next_page_token:
+            self._request.page_token = self._response.next_page_token
+            self._response = self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
+            yield self._response
+
+    def __iter__(self) -> Iterator[tasks.Task]:
+        for page in self.pages:
+            yield from page.tasks
+
+    def __repr__(self) -> str:
+        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
+
+
+class ListTasksAsyncPager:
+    """A pager for iterating through ``list_tasks`` requests.
+
+    This class thinly wraps an initial
+    :class:`google.cloud.dataplex_v1.types.ListTasksResponse` object, and
+    provides an ``__aiter__`` method to iterate through its
+    ``tasks`` field.
+
+    If there are more pages, the ``__aiter__`` method will make additional
+    ``ListTasks`` requests and continue to iterate
+    through the ``tasks`` field on the
+    corresponding responses.
+
+    All the usual :class:`google.cloud.dataplex_v1.types.ListTasksResponse`
+    attributes are available on the pager. If multiple requests are made, only
+    the most recent response is retained, and thus used for attribute lookup.
+    """
+    def __init__(self,
+            method: Callable[..., Awaitable[service.ListTasksResponse]],
+            request: service.ListTasksRequest,
+            response: service.ListTasksResponse,
+            *,
+            retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = ()):
+        """Instantiates the pager.
+
+        Args:
+            method (Callable): The method that was originally called, and
+                which instantiated this pager.
+            request (google.cloud.dataplex_v1.types.ListTasksRequest):
+                The initial request object.
+            response (google.cloud.dataplex_v1.types.ListTasksResponse):
+                The initial response object.
+            retry (google.api_core.retry.AsyncRetry): Designation of what errors,
+                if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        self._method = method
+        self._request = service.ListTasksRequest(request)
+        self._response = response
+        self._retry = retry
+        self._timeout = timeout
+        self._metadata = metadata
+
+    def __getattr__(self, name: str) -> Any:
+        return getattr(self._response, name)
+
+    @property
+    async def pages(self) -> AsyncIterator[service.ListTasksResponse]:
+        yield self._response
+        while self._response.next_page_token:
+            self._request.page_token = self._response.next_page_token
+            self._response = await self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
+            yield self._response
+    def __aiter__(self) -> AsyncIterator[tasks.Task]:
+        async def async_generator():
+            async for page in self.pages:
+                for response in page.tasks:
+                    yield response
+
+        return async_generator()
+
+    def __repr__(self) -> str:
+        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
+
+
+class ListJobsPager:
+    """A pager for iterating through ``list_jobs`` requests.
+
+    This class thinly wraps an initial
+    :class:`google.cloud.dataplex_v1.types.ListJobsResponse` object, and
+    provides an ``__iter__`` method to iterate through its
+    ``jobs`` field.
+
+    If there are more pages, the ``__iter__`` method will make additional
+    ``ListJobs`` requests and continue to iterate
+    through the ``jobs`` field on the
+    corresponding responses.
+
+    All the usual :class:`google.cloud.dataplex_v1.types.ListJobsResponse`
+    attributes are available on the pager. If multiple requests are made, only
+    the most recent response is retained, and thus used for attribute lookup.
+    """
+    def __init__(self,
+            method: Callable[..., service.ListJobsResponse],
+            request: service.ListJobsRequest,
+            response: service.ListJobsResponse,
+            *,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = ()):
+        """Instantiate the pager.
+
+        Args:
+            method (Callable): The method that was originally called, and
+                which instantiated this pager.
+            request (google.cloud.dataplex_v1.types.ListJobsRequest):
+                The initial request object.
+            response (google.cloud.dataplex_v1.types.ListJobsResponse):
+                The initial response object.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        self._method = method
+        self._request = service.ListJobsRequest(request)
+        self._response = response
+        self._retry = retry
+        self._timeout = timeout
+        self._metadata = metadata
+
+    def __getattr__(self, name: str) -> Any:
+        return getattr(self._response, name)
+
+    @property
+    def pages(self) -> Iterator[service.ListJobsResponse]:
+        yield self._response
+        while self._response.next_page_token:
+            self._request.page_token = self._response.next_page_token
+            self._response = self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
+            yield self._response
+
+    def __iter__(self) -> Iterator[tasks.Job]:
+        for page in self.pages:
+            yield from page.jobs
+
+    def __repr__(self) -> str:
+        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
+
+
+class ListJobsAsyncPager:
+    """A pager for iterating through ``list_jobs`` requests.
+
+    This class thinly wraps an initial
+    :class:`google.cloud.dataplex_v1.types.ListJobsResponse` object, and
+    provides an ``__aiter__`` method to iterate through its
+    ``jobs`` field.
+
+    If there are more pages, the ``__aiter__`` method will make additional
+    ``ListJobs`` requests and continue to iterate
+    through the ``jobs`` field on the
+    corresponding responses.
+
+    All the usual :class:`google.cloud.dataplex_v1.types.ListJobsResponse`
+    attributes are available on the pager. If multiple requests are made, only
+    the most recent response is retained, and thus used for attribute lookup.
+    """
+    def __init__(self,
+            method: Callable[..., Awaitable[service.ListJobsResponse]],
+            request: service.ListJobsRequest,
+            response: service.ListJobsResponse,
+            *,
+            retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = ()):
+        """Instantiates the pager.
+
+        Args:
+            method (Callable): The method that was originally called, and
+                which instantiated this pager.
+            request (google.cloud.dataplex_v1.types.ListJobsRequest):
+                The initial request object.
+            response (google.cloud.dataplex_v1.types.ListJobsResponse):
+                The initial response object.
+            retry (google.api_core.retry.AsyncRetry): Designation of what errors,
+                if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        self._method = method
+        self._request = service.ListJobsRequest(request)
+        self._response = response
+        self._retry = retry
+        self._timeout = timeout
+        self._metadata = metadata
+
+    def __getattr__(self, name: str) -> Any:
+        return getattr(self._response, name)
+
+    @property
+    async def pages(self) -> AsyncIterator[service.ListJobsResponse]:
+        yield self._response
+        while self._response.next_page_token:
+            self._request.page_token = self._response.next_page_token
+            self._response = await self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
+            yield self._response
+    def __aiter__(self) -> AsyncIterator[tasks.Job]:
+        async def async_generator():
+            async for page in self.pages:
+                for response in page.jobs:
+                    yield response
+
+        return async_generator()
+
+    def __repr__(self) -> str:
+        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
+
+
+class ListEnvironmentsPager:
+    """A pager for iterating through ``list_environments`` requests.
+
+    This class thinly wraps an initial
+    :class:`google.cloud.dataplex_v1.types.ListEnvironmentsResponse` object, and
+    provides an ``__iter__`` method to iterate through its
+    ``environments`` field.
+
+    If there are more pages, the ``__iter__`` method will make additional
+    ``ListEnvironments`` requests and continue to iterate
+    through the ``environments`` field on the
+    corresponding responses.
+
+    All the usual :class:`google.cloud.dataplex_v1.types.ListEnvironmentsResponse`
+    attributes are available on the pager. If multiple requests are made, only
+    the most recent response is retained, and thus used for attribute lookup.
+    """
+    def __init__(self,
+            method: Callable[..., service.ListEnvironmentsResponse],
+            request: service.ListEnvironmentsRequest,
+            response: service.ListEnvironmentsResponse,
+            *,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = ()):
+        """Instantiate the pager.
+
+        Args:
+            method (Callable): The method that was originally called, and
+                which instantiated this pager.
+            request (google.cloud.dataplex_v1.types.ListEnvironmentsRequest):
+                The initial request object.
+            response (google.cloud.dataplex_v1.types.ListEnvironmentsResponse):
+                The initial response object.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        self._method = method
+        self._request = service.ListEnvironmentsRequest(request)
+        self._response = response
+        self._retry = retry
+        self._timeout = timeout
+        self._metadata = metadata
+
+    def __getattr__(self, name: str) -> Any:
+        return getattr(self._response, name)
+
+    @property
+    def pages(self) -> Iterator[service.ListEnvironmentsResponse]:
+        yield self._response
+        while self._response.next_page_token:
+            self._request.page_token = self._response.next_page_token
+            self._response = self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
+            yield self._response
+
+    def __iter__(self) -> Iterator[analyze.Environment]:
+        for page in self.pages:
+            yield from page.environments
+
+    def __repr__(self) -> str:
+        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
+
+
+class ListEnvironmentsAsyncPager:
+    """A pager for iterating through ``list_environments`` requests.
+
+    This class thinly wraps an initial
+    :class:`google.cloud.dataplex_v1.types.ListEnvironmentsResponse` object, and
+    provides an ``__aiter__`` method to iterate through its
+    ``environments`` field.
+
+    If there are more pages, the ``__aiter__`` method will make additional
+    ``ListEnvironments`` requests and continue to iterate
+    through the ``environments`` field on the
+    corresponding responses.
+
+    All the usual :class:`google.cloud.dataplex_v1.types.ListEnvironmentsResponse`
+    attributes are available on the pager. If multiple requests are made, only
+    the most recent response is retained, and thus used for attribute lookup.
+    """
+    def __init__(self,
+            method: Callable[..., Awaitable[service.ListEnvironmentsResponse]],
+            request: service.ListEnvironmentsRequest,
+            response: service.ListEnvironmentsResponse,
+            *,
+            retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = ()):
+        """Instantiates the pager.
+
+        Args:
+            method (Callable): The method that was originally called, and
+                which instantiated this pager.
+            request (google.cloud.dataplex_v1.types.ListEnvironmentsRequest):
+                The initial request object.
+            response (google.cloud.dataplex_v1.types.ListEnvironmentsResponse):
+                The initial response object.
+            retry (google.api_core.retry.AsyncRetry): Designation of what errors,
+                if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        self._method = method
+        self._request = service.ListEnvironmentsRequest(request)
+        self._response = response
+        self._retry = retry
+        self._timeout = timeout
+        self._metadata = metadata
+
+    def __getattr__(self, name: str) -> Any:
+        return getattr(self._response, name)
+
+    @property
+    async def pages(self) -> AsyncIterator[service.ListEnvironmentsResponse]:
+        yield self._response
+        while self._response.next_page_token:
+            self._request.page_token = self._response.next_page_token
+            self._response = await self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
+            yield self._response
+    def __aiter__(self) -> AsyncIterator[analyze.Environment]:
+        async def async_generator():
+            async for page in self.pages:
+                for response in page.environments:
+                    yield response
+
+        return async_generator()
+
+    def __repr__(self) -> str:
+        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
+
+
+class ListSessionsPager:
+    """A pager for iterating through ``list_sessions`` requests.
+
+    This class thinly wraps an initial
+    :class:`google.cloud.dataplex_v1.types.ListSessionsResponse` object, and
+    provides an ``__iter__`` method to iterate through its
+    ``sessions`` field.
+
+    If there are more pages, the ``__iter__`` method will make additional
+    ``ListSessions`` requests and continue to iterate
+    through the ``sessions`` field on the
+    corresponding responses.
+
+    All the usual :class:`google.cloud.dataplex_v1.types.ListSessionsResponse`
+    attributes are available on the pager. If multiple requests are made, only
+    the most recent response is retained, and thus used for attribute lookup.
+    """
+    def __init__(self,
+            method: Callable[..., service.ListSessionsResponse],
+            request: service.ListSessionsRequest,
+            response: service.ListSessionsResponse,
+            *,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = ()):
+        """Instantiate the pager.
+
+        Args:
+            method (Callable): The method that was originally called, and
+                which instantiated this pager.
+            request (google.cloud.dataplex_v1.types.ListSessionsRequest):
+                The initial request object.
+            response (google.cloud.dataplex_v1.types.ListSessionsResponse):
+                The initial response object.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        self._method = method
+        self._request = service.ListSessionsRequest(request)
+        self._response = response
+        self._retry = retry
+        self._timeout = timeout
+        self._metadata = metadata
+
+    def __getattr__(self, name: str) -> Any:
+        return getattr(self._response, name)
+
+    @property
+    def pages(self) -> Iterator[service.ListSessionsResponse]:
+        yield self._response
+        while self._response.next_page_token:
+            self._request.page_token = self._response.next_page_token
+            self._response = self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
+            yield self._response
+
+    def __iter__(self) -> Iterator[analyze.Session]:
+        for page in self.pages:
+            yield from page.sessions
+
+    def __repr__(self) -> str:
+        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
+
+
+class ListSessionsAsyncPager:
+    """A pager for iterating through ``list_sessions`` requests.
+
+    This class thinly wraps an initial
+    :class:`google.cloud.dataplex_v1.types.ListSessionsResponse` object, and
+    provides an ``__aiter__`` method to iterate through its
+    ``sessions`` field.
+
+    If there are more pages, the ``__aiter__`` method will make additional
+    ``ListSessions`` requests and continue to iterate
+    through the ``sessions`` field on the
+    corresponding responses.
+
+    All the usual :class:`google.cloud.dataplex_v1.types.ListSessionsResponse`
+    attributes are available on the pager. If multiple requests are made, only
+    the most recent response is retained, and thus used for attribute lookup.
+    """
+    def __init__(self,
+            method: Callable[..., Awaitable[service.ListSessionsResponse]],
+            request: service.ListSessionsRequest,
+            response: service.ListSessionsResponse,
+            *,
+            retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = ()):
+        """Instantiates the pager.
+
+        Args:
+            method (Callable): The method that was originally called, and
+                which instantiated this pager.
+            request (google.cloud.dataplex_v1.types.ListSessionsRequest):
+                The initial request object.
+            response (google.cloud.dataplex_v1.types.ListSessionsResponse):
+                The initial response object.
+            retry (google.api_core.retry.AsyncRetry): Designation of what errors,
+                if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        self._method = method
+        self._request = service.ListSessionsRequest(request)
+        self._response = response
+        self._retry = retry
+        self._timeout = timeout
+        self._metadata = metadata
+
+    def __getattr__(self, name: str) -> Any:
+        return getattr(self._response, name)
+
+    @property
+    async def pages(self) -> AsyncIterator[service.ListSessionsResponse]:
+        yield self._response
+        while self._response.next_page_token:
+            self._request.page_token = self._response.next_page_token
+            self._response = await self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
+            yield self._response
+    def __aiter__(self) -> AsyncIterator[analyze.Session]:
+        async def async_generator():
+            async for page in self.pages:
+                for response in page.sessions:
+                    yield response
+
+        return async_generator()
+
+    def __repr__(self) -> str:
+        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/dataplex_service/transports/README.rst b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/dataplex_service/transports/README.rst
new file mode 100644
index 000000000000..a70e22115784
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/dataplex_service/transports/README.rst
@@ -0,0 +1,9 @@
+
+transport inheritance structure
+_______________________________
+
+`DataplexServiceTransport` is the ABC for all transports.
+- public child `DataplexServiceGrpcTransport` for sync gRPC transport (defined in `grpc.py`).
+- public child `DataplexServiceGrpcAsyncIOTransport` for async gRPC transport (defined in `grpc_asyncio.py`).
+- private child `_BaseDataplexServiceRestTransport` for base REST transport with inner classes `_BaseMETHOD` (defined in `rest_base.py`).
+- public child `DataplexServiceRestTransport` for sync REST transport with inner classes `METHOD` derived from the parent's corresponding `_BaseMETHOD` classes (defined in `rest.py`).
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/dataplex_service/transports/__init__.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/dataplex_service/transports/__init__.py
new file mode 100644
index 000000000000..4d9372a1b1ae
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/dataplex_service/transports/__init__.py
@@ -0,0 +1,33 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from collections import OrderedDict
+from typing import Dict, Type
+
+from .base import DataplexServiceTransport
+from .grpc import DataplexServiceGrpcTransport
+from .grpc_asyncio import DataplexServiceGrpcAsyncIOTransport
+
+
+# Compile a registry of transports.
+_transport_registry = OrderedDict()  # type: Dict[str, Type[DataplexServiceTransport]]
+_transport_registry['grpc'] = DataplexServiceGrpcTransport
+_transport_registry['grpc_asyncio'] = DataplexServiceGrpcAsyncIOTransport
+
+__all__ = (
+    'DataplexServiceTransport',
+    'DataplexServiceGrpcTransport',
+    'DataplexServiceGrpcAsyncIOTransport',
+)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/dataplex_service/transports/base.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/dataplex_service/transports/base.py
new file mode 100644
index 000000000000..4a351d5dd59b
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/dataplex_service/transports/base.py
@@ -0,0 +1,833 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+import abc
+from typing import Awaitable, Callable, Dict, Optional, Sequence, Union
+
+from google.cloud.dataplex_v1 import gapic_version as package_version
+
+import google.auth  # type: ignore
+import google.api_core
+from google.api_core import exceptions as core_exceptions
+from google.api_core import gapic_v1
+from google.api_core import retry as retries
+from google.api_core import operations_v1
+from google.auth import credentials as ga_credentials  # type: ignore
+from google.oauth2 import service_account # type: ignore
+
+from google.cloud.dataplex_v1.types import analyze
+from google.cloud.dataplex_v1.types import resources
+from google.cloud.dataplex_v1.types import service
+from google.cloud.dataplex_v1.types import tasks
+from google.cloud.location import locations_pb2 # type: ignore
+from google.iam.v1 import iam_policy_pb2  # type: ignore
+from google.iam.v1 import policy_pb2  # type: ignore
+from google.longrunning import operations_pb2 # type: ignore
+from google.protobuf import empty_pb2  # type: ignore
+
+DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(gapic_version=package_version.__version__)
+
+
+class DataplexServiceTransport(abc.ABC):
+    """Abstract transport class for DataplexService."""
+
+    AUTH_SCOPES = (
+        'https://www.googleapis.com/auth/cloud-platform',
+    )
+
+    DEFAULT_HOST: str = 'dataplex.googleapis.com'
+    def __init__(
+            self, *,
+            host: str = DEFAULT_HOST,
+            credentials: Optional[ga_credentials.Credentials] = None,
+            credentials_file: Optional[str] = None,
+            scopes: Optional[Sequence[str]] = None,
+            quota_project_id: Optional[str] = None,
+            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
+            always_use_jwt_access: Optional[bool] = False,
+            api_audience: Optional[str] = None,
+            **kwargs,
+            ) -> None:
+        """Instantiate the transport.
+
+        Args:
+            host (Optional[str]):
+                 The hostname to connect to (default: 'dataplex.googleapis.com').
+            credentials (Optional[google.auth.credentials.Credentials]): The
+                authorization credentials to attach to requests. These
+                credentials identify the application to the service; if none
+                are specified, the client will attempt to ascertain the
+                credentials from the environment.
+            credentials_file (Optional[str]): A file with credentials that can
+                be loaded with :func:`google.auth.load_credentials_from_file`.
+                This argument is mutually exclusive with credentials.
+            scopes (Optional[Sequence[str]]): A list of scopes.
+            quota_project_id (Optional[str]): An optional project to use for billing
+                and quota.
+            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
+                The client info used to send a user-agent string along with
+                API requests. If ``None``, then default info will be used.
+                Generally, you only need to set this if you're developing
+                your own client library.
+            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
+                be used for service account credentials.
+        """
+
+        scopes_kwargs = {"scopes": scopes, "default_scopes": self.AUTH_SCOPES}
+
+        # Save the scopes.
+        self._scopes = scopes
+        if not hasattr(self, "_ignore_credentials"):
+            self._ignore_credentials: bool = False
+
+        # If no credentials are provided, then determine the appropriate
+        # defaults.
+        if credentials and credentials_file:
+            raise core_exceptions.DuplicateCredentialArgs("'credentials_file' and 'credentials' are mutually exclusive")
+
+        if credentials_file is not None:
+            credentials, _ = google.auth.load_credentials_from_file(
+                                credentials_file,
+                                **scopes_kwargs,
+                                quota_project_id=quota_project_id
+                            )
+        elif credentials is None and not self._ignore_credentials:
+            credentials, _ = google.auth.default(**scopes_kwargs, quota_project_id=quota_project_id)
+            # Don't apply audience if the credentials file passed from user.
+            if hasattr(credentials, "with_gdch_audience"):
+                credentials = credentials.with_gdch_audience(api_audience if api_audience else host)
+
+        # If the credentials are service account credentials, then always try to use self signed JWT.
+        if always_use_jwt_access and isinstance(credentials, service_account.Credentials) and hasattr(service_account.Credentials, "with_always_use_jwt_access"):
+            credentials = credentials.with_always_use_jwt_access(True)
+
+        # Save the credentials.
+        self._credentials = credentials
+
+        # Save the hostname. Default to port 443 (HTTPS) if none is specified.
+        if ':' not in host:
+            host += ':443'
+        self._host = host
+
+    @property
+    def host(self):
+        return self._host
+
+    def _prep_wrapped_messages(self, client_info):
+        # Precompute the wrapped methods.
+        self._wrapped_methods = {
+            self.create_lake: gapic_v1.method.wrap_method(
+                self.create_lake,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.update_lake: gapic_v1.method.wrap_method(
+                self.update_lake,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.delete_lake: gapic_v1.method.wrap_method(
+                self.delete_lake,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.list_lakes: gapic_v1.method.wrap_method(
+                self.list_lakes,
+                default_retry=retries.Retry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.get_lake: gapic_v1.method.wrap_method(
+                self.get_lake,
+                default_retry=retries.Retry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.list_lake_actions: gapic_v1.method.wrap_method(
+                self.list_lake_actions,
+                default_retry=retries.Retry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.create_zone: gapic_v1.method.wrap_method(
+                self.create_zone,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.update_zone: gapic_v1.method.wrap_method(
+                self.update_zone,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.delete_zone: gapic_v1.method.wrap_method(
+                self.delete_zone,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.list_zones: gapic_v1.method.wrap_method(
+                self.list_zones,
+                default_retry=retries.Retry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.get_zone: gapic_v1.method.wrap_method(
+                self.get_zone,
+                default_retry=retries.Retry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.list_zone_actions: gapic_v1.method.wrap_method(
+                self.list_zone_actions,
+                default_retry=retries.Retry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.create_asset: gapic_v1.method.wrap_method(
+                self.create_asset,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.update_asset: gapic_v1.method.wrap_method(
+                self.update_asset,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.delete_asset: gapic_v1.method.wrap_method(
+                self.delete_asset,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.list_assets: gapic_v1.method.wrap_method(
+                self.list_assets,
+                default_retry=retries.Retry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.get_asset: gapic_v1.method.wrap_method(
+                self.get_asset,
+                default_retry=retries.Retry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.list_asset_actions: gapic_v1.method.wrap_method(
+                self.list_asset_actions,
+                default_retry=retries.Retry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.create_task: gapic_v1.method.wrap_method(
+                self.create_task,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.update_task: gapic_v1.method.wrap_method(
+                self.update_task,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.delete_task: gapic_v1.method.wrap_method(
+                self.delete_task,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.list_tasks: gapic_v1.method.wrap_method(
+                self.list_tasks,
+                default_retry=retries.Retry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.get_task: gapic_v1.method.wrap_method(
+                self.get_task,
+                default_retry=retries.Retry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.list_jobs: gapic_v1.method.wrap_method(
+                self.list_jobs,
+                default_retry=retries.Retry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.run_task: gapic_v1.method.wrap_method(
+                self.run_task,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.get_job: gapic_v1.method.wrap_method(
+                self.get_job,
+                default_retry=retries.Retry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.cancel_job: gapic_v1.method.wrap_method(
+                self.cancel_job,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.create_environment: gapic_v1.method.wrap_method(
+                self.create_environment,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.update_environment: gapic_v1.method.wrap_method(
+                self.update_environment,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.delete_environment: gapic_v1.method.wrap_method(
+                self.delete_environment,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.list_environments: gapic_v1.method.wrap_method(
+                self.list_environments,
+                default_retry=retries.Retry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.get_environment: gapic_v1.method.wrap_method(
+                self.get_environment,
+                default_retry=retries.Retry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.list_sessions: gapic_v1.method.wrap_method(
+                self.list_sessions,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.get_location: gapic_v1.method.wrap_method(
+                self.get_location,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.list_locations: gapic_v1.method.wrap_method(
+                self.list_locations,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.cancel_operation: gapic_v1.method.wrap_method(
+                self.cancel_operation,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.delete_operation: gapic_v1.method.wrap_method(
+                self.delete_operation,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.get_operation: gapic_v1.method.wrap_method(
+                self.get_operation,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.list_operations: gapic_v1.method.wrap_method(
+                self.list_operations,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+         }
+
+    def close(self):
+        """Closes resources associated with the transport.
+
+       .. warning::
+            Only call this method if the transport is NOT shared
+            with other clients - this may cause errors in other clients!
+        """
+        raise NotImplementedError()
+
+    @property
+    def operations_client(self):
+        """Return the client designed to process long-running operations."""
+        raise NotImplementedError()
+
+    @property
+    def create_lake(self) -> Callable[
+            [service.CreateLakeRequest],
+            Union[
+                operations_pb2.Operation,
+                Awaitable[operations_pb2.Operation]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def update_lake(self) -> Callable[
+            [service.UpdateLakeRequest],
+            Union[
+                operations_pb2.Operation,
+                Awaitable[operations_pb2.Operation]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def delete_lake(self) -> Callable[
+            [service.DeleteLakeRequest],
+            Union[
+                operations_pb2.Operation,
+                Awaitable[operations_pb2.Operation]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def list_lakes(self) -> Callable[
+            [service.ListLakesRequest],
+            Union[
+                service.ListLakesResponse,
+                Awaitable[service.ListLakesResponse]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def get_lake(self) -> Callable[
+            [service.GetLakeRequest],
+            Union[
+                resources.Lake,
+                Awaitable[resources.Lake]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def list_lake_actions(self) -> Callable[
+            [service.ListLakeActionsRequest],
+            Union[
+                service.ListActionsResponse,
+                Awaitable[service.ListActionsResponse]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def create_zone(self) -> Callable[
+            [service.CreateZoneRequest],
+            Union[
+                operations_pb2.Operation,
+                Awaitable[operations_pb2.Operation]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def update_zone(self) -> Callable[
+            [service.UpdateZoneRequest],
+            Union[
+                operations_pb2.Operation,
+                Awaitable[operations_pb2.Operation]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def delete_zone(self) -> Callable[
+            [service.DeleteZoneRequest],
+            Union[
+                operations_pb2.Operation,
+                Awaitable[operations_pb2.Operation]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def list_zones(self) -> Callable[
+            [service.ListZonesRequest],
+            Union[
+                service.ListZonesResponse,
+                Awaitable[service.ListZonesResponse]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def get_zone(self) -> Callable[
+            [service.GetZoneRequest],
+            Union[
+                resources.Zone,
+                Awaitable[resources.Zone]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def list_zone_actions(self) -> Callable[
+            [service.ListZoneActionsRequest],
+            Union[
+                service.ListActionsResponse,
+                Awaitable[service.ListActionsResponse]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def create_asset(self) -> Callable[
+            [service.CreateAssetRequest],
+            Union[
+                operations_pb2.Operation,
+                Awaitable[operations_pb2.Operation]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def update_asset(self) -> Callable[
+            [service.UpdateAssetRequest],
+            Union[
+                operations_pb2.Operation,
+                Awaitable[operations_pb2.Operation]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def delete_asset(self) -> Callable[
+            [service.DeleteAssetRequest],
+            Union[
+                operations_pb2.Operation,
+                Awaitable[operations_pb2.Operation]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def list_assets(self) -> Callable[
+            [service.ListAssetsRequest],
+            Union[
+                service.ListAssetsResponse,
+                Awaitable[service.ListAssetsResponse]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def get_asset(self) -> Callable[
+            [service.GetAssetRequest],
+            Union[
+                resources.Asset,
+                Awaitable[resources.Asset]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def list_asset_actions(self) -> Callable[
+            [service.ListAssetActionsRequest],
+            Union[
+                service.ListActionsResponse,
+                Awaitable[service.ListActionsResponse]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def create_task(self) -> Callable[
+            [service.CreateTaskRequest],
+            Union[
+                operations_pb2.Operation,
+                Awaitable[operations_pb2.Operation]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def update_task(self) -> Callable[
+            [service.UpdateTaskRequest],
+            Union[
+                operations_pb2.Operation,
+                Awaitable[operations_pb2.Operation]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def delete_task(self) -> Callable[
+            [service.DeleteTaskRequest],
+            Union[
+                operations_pb2.Operation,
+                Awaitable[operations_pb2.Operation]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def list_tasks(self) -> Callable[
+            [service.ListTasksRequest],
+            Union[
+                service.ListTasksResponse,
+                Awaitable[service.ListTasksResponse]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def get_task(self) -> Callable[
+            [service.GetTaskRequest],
+            Union[
+                tasks.Task,
+                Awaitable[tasks.Task]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def list_jobs(self) -> Callable[
+            [service.ListJobsRequest],
+            Union[
+                service.ListJobsResponse,
+                Awaitable[service.ListJobsResponse]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def run_task(self) -> Callable[
+            [service.RunTaskRequest],
+            Union[
+                service.RunTaskResponse,
+                Awaitable[service.RunTaskResponse]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def get_job(self) -> Callable[
+            [service.GetJobRequest],
+            Union[
+                tasks.Job,
+                Awaitable[tasks.Job]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def cancel_job(self) -> Callable[
+            [service.CancelJobRequest],
+            Union[
+                empty_pb2.Empty,
+                Awaitable[empty_pb2.Empty]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def create_environment(self) -> Callable[
+            [service.CreateEnvironmentRequest],
+            Union[
+                operations_pb2.Operation,
+                Awaitable[operations_pb2.Operation]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def update_environment(self) -> Callable[
+            [service.UpdateEnvironmentRequest],
+            Union[
+                operations_pb2.Operation,
+                Awaitable[operations_pb2.Operation]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def delete_environment(self) -> Callable[
+            [service.DeleteEnvironmentRequest],
+            Union[
+                operations_pb2.Operation,
+                Awaitable[operations_pb2.Operation]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def list_environments(self) -> Callable[
+            [service.ListEnvironmentsRequest],
+            Union[
+                service.ListEnvironmentsResponse,
+                Awaitable[service.ListEnvironmentsResponse]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def get_environment(self) -> Callable[
+            [service.GetEnvironmentRequest],
+            Union[
+                analyze.Environment,
+                Awaitable[analyze.Environment]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def list_sessions(self) -> Callable[
+            [service.ListSessionsRequest],
+            Union[
+                service.ListSessionsResponse,
+                Awaitable[service.ListSessionsResponse]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def list_operations(
+        self,
+    ) -> Callable[
+        [operations_pb2.ListOperationsRequest],
+        Union[operations_pb2.ListOperationsResponse, Awaitable[operations_pb2.ListOperationsResponse]],
+    ]:
+        raise NotImplementedError()
+
+    @property
+    def get_operation(
+        self,
+    ) -> Callable[
+        [operations_pb2.GetOperationRequest],
+        Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]],
+    ]:
+        raise NotImplementedError()
+
+    @property
+    def cancel_operation(
+        self,
+    ) -> Callable[
+        [operations_pb2.CancelOperationRequest],
+        None,
+    ]:
+        raise NotImplementedError()
+
+    @property
+    def delete_operation(
+        self,
+    ) -> Callable[
+        [operations_pb2.DeleteOperationRequest],
+        None,
+    ]:
+        raise NotImplementedError()
+
+    @property
+    def get_location(self,
+    ) -> Callable[
+        [locations_pb2.GetLocationRequest],
+        Union[locations_pb2.Location, Awaitable[locations_pb2.Location]],
+    ]:
+        raise NotImplementedError()
+
+    @property
+    def list_locations(self,
+    ) -> Callable[
+        [locations_pb2.ListLocationsRequest],
+        Union[locations_pb2.ListLocationsResponse, Awaitable[locations_pb2.ListLocationsResponse]],
+    ]:
+        raise NotImplementedError()
+
+    @property
+    def kind(self) -> str:
+        raise NotImplementedError()
+
+
+__all__ = (
+    'DataplexServiceTransport',
+)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/dataplex_service/transports/grpc.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/dataplex_service/transports/grpc.py
new file mode 100644
index 000000000000..8760eb831d23
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/dataplex_service/transports/grpc.py
@@ -0,0 +1,1247 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+import warnings
+from typing import Callable, Dict, Optional, Sequence, Tuple, Union
+
+from google.api_core import grpc_helpers
+from google.api_core import operations_v1
+from google.api_core import gapic_v1
+import google.auth                         # type: ignore
+from google.auth import credentials as ga_credentials  # type: ignore
+from google.auth.transport.grpc import SslCredentials  # type: ignore
+
+import grpc  # type: ignore
+
+from google.cloud.dataplex_v1.types import analyze
+from google.cloud.dataplex_v1.types import resources
+from google.cloud.dataplex_v1.types import service
+from google.cloud.dataplex_v1.types import tasks
+from google.cloud.location import locations_pb2 # type: ignore
+from google.iam.v1 import iam_policy_pb2  # type: ignore
+from google.iam.v1 import policy_pb2  # type: ignore
+from google.longrunning import operations_pb2 # type: ignore
+from google.protobuf import empty_pb2  # type: ignore
+from .base import DataplexServiceTransport, DEFAULT_CLIENT_INFO
+
+
+class DataplexServiceGrpcTransport(DataplexServiceTransport):
+    """gRPC backend transport for DataplexService.
+
+    Dataplex service provides data lakes as a service. The
+    primary resources offered by this service are Lakes, Zones and
+    Assets which collectively allow a data administrator to
+    organize, manage, secure and catalog data across their
+    organization located across cloud projects in a variety of
+    storage systems including Cloud Storage and BigQuery.
+
+    This class defines the same methods as the primary client, so the
+    primary client can load the underlying transport implementation
+    and call it.
+
+    It sends protocol buffers over the wire using gRPC (which is built on
+    top of HTTP/2); the ``grpcio`` package must be installed.
+    """
+    _stubs: Dict[str, Callable]
+
+    def __init__(self, *,
+            host: str = 'dataplex.googleapis.com',
+            credentials: Optional[ga_credentials.Credentials] = None,
+            credentials_file: Optional[str] = None,
+            scopes: Optional[Sequence[str]] = None,
+            channel: Optional[Union[grpc.Channel, Callable[..., grpc.Channel]]] = None,
+            api_mtls_endpoint: Optional[str] = None,
+            client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
+            ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None,
+            client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
+            quota_project_id: Optional[str] = None,
+            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
+            always_use_jwt_access: Optional[bool] = False,
+            api_audience: Optional[str] = None,
+            ) -> None:
+        """Instantiate the transport.
+
+        Args:
+            host (Optional[str]):
+                 The hostname to connect to (default: 'dataplex.googleapis.com').
+            credentials (Optional[google.auth.credentials.Credentials]): The
+                authorization credentials to attach to requests. These
+                credentials identify the application to the service; if none
+                are specified, the client will attempt to ascertain the
+                credentials from the environment.
+                This argument is ignored if a ``channel`` instance is provided.
+            credentials_file (Optional[str]): A file with credentials that can
+                be loaded with :func:`google.auth.load_credentials_from_file`.
+                This argument is ignored if a ``channel`` instance is provided.
+            scopes (Optional(Sequence[str])): A list of scopes. This argument is
+                ignored if a ``channel`` instance is provided.
+            channel (Optional[Union[grpc.Channel, Callable[..., grpc.Channel]]]):
+                A ``Channel`` instance through which to make calls, or a Callable
+                that constructs and returns one. If set to None, ``self.create_channel``
+                is used to create the channel. If a Callable is given, it will be called
+                with the same arguments as used in ``self.create_channel``.
+            api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint.
+                If provided, it overrides the ``host`` argument and tries to create
+                a mutual TLS channel with client SSL credentials from
+                ``client_cert_source`` or application default SSL credentials.
+            client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]):
+                Deprecated. A callback to provide client SSL certificate bytes and
+                private key bytes, both in PEM format. It is ignored if
+                ``api_mtls_endpoint`` is None.
+            ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials
+                for the grpc channel. It is ignored if a ``channel`` instance is provided.
+            client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]):
+                A callback to provide client certificate bytes and private key bytes,
+                both in PEM format. It is used to configure a mutual TLS channel. It is
+                ignored if a ``channel`` instance or ``ssl_channel_credentials`` is provided.
+            quota_project_id (Optional[str]): An optional project to use for billing
+                and quota.
+            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
+                The client info used to send a user-agent string along with
+                API requests. If ``None``, then default info will be used.
+                Generally, you only need to set this if you're developing
+                your own client library.
+            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
+                be used for service account credentials.
+
+        Raises:
+          google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport
+              creation failed for any reason.
+          google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials``
+              and ``credentials_file`` are passed.
+        """
+        self._grpc_channel = None
+        self._ssl_channel_credentials = ssl_channel_credentials
+        self._stubs: Dict[str, Callable] = {}
+        self._operations_client: Optional[operations_v1.OperationsClient] = None
+
+        if api_mtls_endpoint:
+            warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning)
+        if client_cert_source:
+            warnings.warn("client_cert_source is deprecated", DeprecationWarning)
+
+        if isinstance(channel, grpc.Channel):
+            # Ignore credentials if a channel was passed.
+            credentials = None
+            self._ignore_credentials = True
+            # If a channel was explicitly provided, set it.
+            self._grpc_channel = channel
+            self._ssl_channel_credentials = None
+
+        else:
+            if api_mtls_endpoint:
+                host = api_mtls_endpoint
+
+                # Create SSL credentials with client_cert_source or application
+                # default SSL credentials.
+                if client_cert_source:
+                    cert, key = client_cert_source()
+                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
+                        certificate_chain=cert, private_key=key
+                    )
+                else:
+                    self._ssl_channel_credentials = SslCredentials().ssl_credentials
+
+            else:
+                if client_cert_source_for_mtls and not ssl_channel_credentials:
+                    cert, key = client_cert_source_for_mtls()
+                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
+                        certificate_chain=cert, private_key=key
+                    )
+
+        # The base transport sets the host, credentials and scopes
+        super().__init__(
+            host=host,
+            credentials=credentials,
+            credentials_file=credentials_file,
+            scopes=scopes,
+            quota_project_id=quota_project_id,
+            client_info=client_info,
+            always_use_jwt_access=always_use_jwt_access,
+            api_audience=api_audience,
+        )
+
+        if not self._grpc_channel:
+            # initialize with the provided callable or the default channel
+            channel_init = channel or type(self).create_channel
+            self._grpc_channel = channel_init(
+                self._host,
+                # use the credentials which are saved
+                credentials=self._credentials,
+                # Set ``credentials_file`` to ``None`` here as
+                # the credentials that we saved earlier should be used.
+                credentials_file=None,
+                scopes=self._scopes,
+                ssl_credentials=self._ssl_channel_credentials,
+                quota_project_id=quota_project_id,
+                options=[
+                    ("grpc.max_send_message_length", -1),
+                    ("grpc.max_receive_message_length", -1),
+                ],
+            )
+
+        # Wrap messages. This must be done after self._grpc_channel exists
+        self._prep_wrapped_messages(client_info)
+
+    @classmethod
+    def create_channel(cls,
+                       host: str = 'dataplex.googleapis.com',
+                       credentials: Optional[ga_credentials.Credentials] = None,
+                       credentials_file: Optional[str] = None,
+                       scopes: Optional[Sequence[str]] = None,
+                       quota_project_id: Optional[str] = None,
+                       **kwargs) -> grpc.Channel:
+        """Create and return a gRPC channel object.
+        Args:
+            host (Optional[str]): The host for the channel to use.
+            credentials (Optional[~.Credentials]): The
+                authorization credentials to attach to requests. These
+                credentials identify this application to the service. If
+                none are specified, the client will attempt to ascertain
+                the credentials from the environment.
+            credentials_file (Optional[str]): A file with credentials that can
+                be loaded with :func:`google.auth.load_credentials_from_file`.
+                This argument is mutually exclusive with credentials.
+            scopes (Optional[Sequence[str]]): A optional list of scopes needed for this
+                service. These are only used when credentials are not specified and
+                are passed to :func:`google.auth.default`.
+            quota_project_id (Optional[str]): An optional project to use for billing
+                and quota.
+            kwargs (Optional[dict]): Keyword arguments, which are passed to the
+                channel creation.
+        Returns:
+            grpc.Channel: A gRPC channel object.
+
+        Raises:
+            google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials``
+              and ``credentials_file`` are passed.
+        """
+
+        return grpc_helpers.create_channel(
+            host,
+            credentials=credentials,
+            credentials_file=credentials_file,
+            quota_project_id=quota_project_id,
+            default_scopes=cls.AUTH_SCOPES,
+            scopes=scopes,
+            default_host=cls.DEFAULT_HOST,
+            **kwargs
+        )
+
+    @property
+    def grpc_channel(self) -> grpc.Channel:
+        """Return the channel designed to connect to this service.
+        """
+        return self._grpc_channel
+
+    @property
+    def operations_client(self) -> operations_v1.OperationsClient:
+        """Create the client designed to process long-running operations.
+
+        This property caches on the instance; repeated calls return the same
+        client.
+        """
+        # Quick check: Only create a new client if we do not already have one.
+        if self._operations_client is None:
+            self._operations_client = operations_v1.OperationsClient(
+                self.grpc_channel
+            )
+
+        # Return the client from cache.
+        return self._operations_client
+
+    @property
+    def create_lake(self) -> Callable[
+            [service.CreateLakeRequest],
+            operations_pb2.Operation]:
+        r"""Return a callable for the create lake method over gRPC.
+
+        Creates a lake resource.
+
+        Returns:
+            Callable[[~.CreateLakeRequest],
+                    ~.Operation]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'create_lake' not in self._stubs:
+            self._stubs['create_lake'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/CreateLake',
+                request_serializer=service.CreateLakeRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['create_lake']
+
+    @property
+    def update_lake(self) -> Callable[
+            [service.UpdateLakeRequest],
+            operations_pb2.Operation]:
+        r"""Return a callable for the update lake method over gRPC.
+
+        Updates a lake resource.
+
+        Returns:
+            Callable[[~.UpdateLakeRequest],
+                    ~.Operation]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'update_lake' not in self._stubs:
+            self._stubs['update_lake'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/UpdateLake',
+                request_serializer=service.UpdateLakeRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['update_lake']
+
+    @property
+    def delete_lake(self) -> Callable[
+            [service.DeleteLakeRequest],
+            operations_pb2.Operation]:
+        r"""Return a callable for the delete lake method over gRPC.
+
+        Deletes a lake resource. All zones within the lake
+        must be deleted before the lake can be deleted.
+
+        Returns:
+            Callable[[~.DeleteLakeRequest],
+                    ~.Operation]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'delete_lake' not in self._stubs:
+            self._stubs['delete_lake'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/DeleteLake',
+                request_serializer=service.DeleteLakeRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['delete_lake']
+
+    @property
+    def list_lakes(self) -> Callable[
+            [service.ListLakesRequest],
+            service.ListLakesResponse]:
+        r"""Return a callable for the list lakes method over gRPC.
+
+        Lists lake resources in a project and location.
+
+        Returns:
+            Callable[[~.ListLakesRequest],
+                    ~.ListLakesResponse]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'list_lakes' not in self._stubs:
+            self._stubs['list_lakes'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/ListLakes',
+                request_serializer=service.ListLakesRequest.serialize,
+                response_deserializer=service.ListLakesResponse.deserialize,
+            )
+        return self._stubs['list_lakes']
+
+    @property
+    def get_lake(self) -> Callable[
+            [service.GetLakeRequest],
+            resources.Lake]:
+        r"""Return a callable for the get lake method over gRPC.
+
+        Retrieves a lake resource.
+
+        Returns:
+            Callable[[~.GetLakeRequest],
+                    ~.Lake]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'get_lake' not in self._stubs:
+            self._stubs['get_lake'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/GetLake',
+                request_serializer=service.GetLakeRequest.serialize,
+                response_deserializer=resources.Lake.deserialize,
+            )
+        return self._stubs['get_lake']
+
+    @property
+    def list_lake_actions(self) -> Callable[
+            [service.ListLakeActionsRequest],
+            service.ListActionsResponse]:
+        r"""Return a callable for the list lake actions method over gRPC.
+
+        Lists action resources in a lake.
+
+        Returns:
+            Callable[[~.ListLakeActionsRequest],
+                    ~.ListActionsResponse]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'list_lake_actions' not in self._stubs:
+            self._stubs['list_lake_actions'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/ListLakeActions',
+                request_serializer=service.ListLakeActionsRequest.serialize,
+                response_deserializer=service.ListActionsResponse.deserialize,
+            )
+        return self._stubs['list_lake_actions']
+
+    @property
+    def create_zone(self) -> Callable[
+            [service.CreateZoneRequest],
+            operations_pb2.Operation]:
+        r"""Return a callable for the create zone method over gRPC.
+
+        Creates a zone resource within a lake.
+
+        Returns:
+            Callable[[~.CreateZoneRequest],
+                    ~.Operation]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'create_zone' not in self._stubs:
+            self._stubs['create_zone'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/CreateZone',
+                request_serializer=service.CreateZoneRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['create_zone']
+
+    @property
+    def update_zone(self) -> Callable[
+            [service.UpdateZoneRequest],
+            operations_pb2.Operation]:
+        r"""Return a callable for the update zone method over gRPC.
+
+        Updates a zone resource.
+
+        Returns:
+            Callable[[~.UpdateZoneRequest],
+                    ~.Operation]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'update_zone' not in self._stubs:
+            self._stubs['update_zone'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/UpdateZone',
+                request_serializer=service.UpdateZoneRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['update_zone']
+
+    @property
+    def delete_zone(self) -> Callable[
+            [service.DeleteZoneRequest],
+            operations_pb2.Operation]:
+        r"""Return a callable for the delete zone method over gRPC.
+
+        Deletes a zone resource. All assets within a zone
+        must be deleted before the zone can be deleted.
+
+        Returns:
+            Callable[[~.DeleteZoneRequest],
+                    ~.Operation]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'delete_zone' not in self._stubs:
+            self._stubs['delete_zone'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/DeleteZone',
+                request_serializer=service.DeleteZoneRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['delete_zone']
+
+    @property
+    def list_zones(self) -> Callable[
+            [service.ListZonesRequest],
+            service.ListZonesResponse]:
+        r"""Return a callable for the list zones method over gRPC.
+
+        Lists zone resources in a lake.
+
+        Returns:
+            Callable[[~.ListZonesRequest],
+                    ~.ListZonesResponse]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'list_zones' not in self._stubs:
+            self._stubs['list_zones'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/ListZones',
+                request_serializer=service.ListZonesRequest.serialize,
+                response_deserializer=service.ListZonesResponse.deserialize,
+            )
+        return self._stubs['list_zones']
+
+    @property
+    def get_zone(self) -> Callable[
+            [service.GetZoneRequest],
+            resources.Zone]:
+        r"""Return a callable for the get zone method over gRPC.
+
+        Retrieves a zone resource.
+
+        Returns:
+            Callable[[~.GetZoneRequest],
+                    ~.Zone]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'get_zone' not in self._stubs:
+            self._stubs['get_zone'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/GetZone',
+                request_serializer=service.GetZoneRequest.serialize,
+                response_deserializer=resources.Zone.deserialize,
+            )
+        return self._stubs['get_zone']
+
+    @property
+    def list_zone_actions(self) -> Callable[
+            [service.ListZoneActionsRequest],
+            service.ListActionsResponse]:
+        r"""Return a callable for the list zone actions method over gRPC.
+
+        Lists action resources in a zone.
+
+        Returns:
+            Callable[[~.ListZoneActionsRequest],
+                    ~.ListActionsResponse]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'list_zone_actions' not in self._stubs:
+            self._stubs['list_zone_actions'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/ListZoneActions',
+                request_serializer=service.ListZoneActionsRequest.serialize,
+                response_deserializer=service.ListActionsResponse.deserialize,
+            )
+        return self._stubs['list_zone_actions']
+
+    @property
+    def create_asset(self) -> Callable[
+            [service.CreateAssetRequest],
+            operations_pb2.Operation]:
+        r"""Return a callable for the create asset method over gRPC.
+
+        Creates an asset resource.
+
+        Returns:
+            Callable[[~.CreateAssetRequest],
+                    ~.Operation]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'create_asset' not in self._stubs:
+            self._stubs['create_asset'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/CreateAsset',
+                request_serializer=service.CreateAssetRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['create_asset']
+
+    @property
+    def update_asset(self) -> Callable[
+            [service.UpdateAssetRequest],
+            operations_pb2.Operation]:
+        r"""Return a callable for the update asset method over gRPC.
+
+        Updates an asset resource.
+
+        Returns:
+            Callable[[~.UpdateAssetRequest],
+                    ~.Operation]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'update_asset' not in self._stubs:
+            self._stubs['update_asset'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/UpdateAsset',
+                request_serializer=service.UpdateAssetRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['update_asset']
+
+    @property
+    def delete_asset(self) -> Callable[
+            [service.DeleteAssetRequest],
+            operations_pb2.Operation]:
+        r"""Return a callable for the delete asset method over gRPC.
+
+        Deletes an asset resource. The referenced storage
+        resource is detached (default) or deleted based on the
+        associated Lifecycle policy.
+
+        Returns:
+            Callable[[~.DeleteAssetRequest],
+                    ~.Operation]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'delete_asset' not in self._stubs:
+            self._stubs['delete_asset'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/DeleteAsset',
+                request_serializer=service.DeleteAssetRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['delete_asset']
+
+    @property
+    def list_assets(self) -> Callable[
+            [service.ListAssetsRequest],
+            service.ListAssetsResponse]:
+        r"""Return a callable for the list assets method over gRPC.
+
+        Lists asset resources in a zone.
+
+        Returns:
+            Callable[[~.ListAssetsRequest],
+                    ~.ListAssetsResponse]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'list_assets' not in self._stubs:
+            self._stubs['list_assets'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/ListAssets',
+                request_serializer=service.ListAssetsRequest.serialize,
+                response_deserializer=service.ListAssetsResponse.deserialize,
+            )
+        return self._stubs['list_assets']
+
+    @property
+    def get_asset(self) -> Callable[
+            [service.GetAssetRequest],
+            resources.Asset]:
+        r"""Return a callable for the get asset method over gRPC.
+
+        Retrieves an asset resource.
+
+        Returns:
+            Callable[[~.GetAssetRequest],
+                    ~.Asset]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'get_asset' not in self._stubs:
+            self._stubs['get_asset'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/GetAsset',
+                request_serializer=service.GetAssetRequest.serialize,
+                response_deserializer=resources.Asset.deserialize,
+            )
+        return self._stubs['get_asset']
+
+    @property
+    def list_asset_actions(self) -> Callable[
+            [service.ListAssetActionsRequest],
+            service.ListActionsResponse]:
+        r"""Return a callable for the list asset actions method over gRPC.
+
+        Lists action resources in an asset.
+
+        Returns:
+            Callable[[~.ListAssetActionsRequest],
+                    ~.ListActionsResponse]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'list_asset_actions' not in self._stubs:
+            self._stubs['list_asset_actions'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/ListAssetActions',
+                request_serializer=service.ListAssetActionsRequest.serialize,
+                response_deserializer=service.ListActionsResponse.deserialize,
+            )
+        return self._stubs['list_asset_actions']
+
+    @property
+    def create_task(self) -> Callable[
+            [service.CreateTaskRequest],
+            operations_pb2.Operation]:
+        r"""Return a callable for the create task method over gRPC.
+
+        Creates a task resource within a lake.
+
+        Returns:
+            Callable[[~.CreateTaskRequest],
+                    ~.Operation]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'create_task' not in self._stubs:
+            self._stubs['create_task'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/CreateTask',
+                request_serializer=service.CreateTaskRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['create_task']
+
+    @property
+    def update_task(self) -> Callable[
+            [service.UpdateTaskRequest],
+            operations_pb2.Operation]:
+        r"""Return a callable for the update task method over gRPC.
+
+        Update the task resource.
+
+        Returns:
+            Callable[[~.UpdateTaskRequest],
+                    ~.Operation]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'update_task' not in self._stubs:
+            self._stubs['update_task'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/UpdateTask',
+                request_serializer=service.UpdateTaskRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['update_task']
+
+    @property
+    def delete_task(self) -> Callable[
+            [service.DeleteTaskRequest],
+            operations_pb2.Operation]:
+        r"""Return a callable for the delete task method over gRPC.
+
+        Delete the task resource.
+
+        Returns:
+            Callable[[~.DeleteTaskRequest],
+                    ~.Operation]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'delete_task' not in self._stubs:
+            self._stubs['delete_task'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/DeleteTask',
+                request_serializer=service.DeleteTaskRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['delete_task']
+
+    @property
+    def list_tasks(self) -> Callable[
+            [service.ListTasksRequest],
+            service.ListTasksResponse]:
+        r"""Return a callable for the list tasks method over gRPC.
+
+        Lists tasks under the given lake.
+
+        Returns:
+            Callable[[~.ListTasksRequest],
+                    ~.ListTasksResponse]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'list_tasks' not in self._stubs:
+            self._stubs['list_tasks'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/ListTasks',
+                request_serializer=service.ListTasksRequest.serialize,
+                response_deserializer=service.ListTasksResponse.deserialize,
+            )
+        return self._stubs['list_tasks']
+
+    @property
+    def get_task(self) -> Callable[
+            [service.GetTaskRequest],
+            tasks.Task]:
+        r"""Return a callable for the get task method over gRPC.
+
+        Get task resource.
+
+        Returns:
+            Callable[[~.GetTaskRequest],
+                    ~.Task]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'get_task' not in self._stubs:
+            self._stubs['get_task'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/GetTask',
+                request_serializer=service.GetTaskRequest.serialize,
+                response_deserializer=tasks.Task.deserialize,
+            )
+        return self._stubs['get_task']
+
+    @property
+    def list_jobs(self) -> Callable[
+            [service.ListJobsRequest],
+            service.ListJobsResponse]:
+        r"""Return a callable for the list jobs method over gRPC.
+
+        Lists Jobs under the given task.
+
+        Returns:
+            Callable[[~.ListJobsRequest],
+                    ~.ListJobsResponse]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'list_jobs' not in self._stubs:
+            self._stubs['list_jobs'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/ListJobs',
+                request_serializer=service.ListJobsRequest.serialize,
+                response_deserializer=service.ListJobsResponse.deserialize,
+            )
+        return self._stubs['list_jobs']
+
+    @property
+    def run_task(self) -> Callable[
+            [service.RunTaskRequest],
+            service.RunTaskResponse]:
+        r"""Return a callable for the run task method over gRPC.
+
+        Run an on demand execution of a Task.
+
+        Returns:
+            Callable[[~.RunTaskRequest],
+                    ~.RunTaskResponse]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'run_task' not in self._stubs:
+            self._stubs['run_task'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/RunTask',
+                request_serializer=service.RunTaskRequest.serialize,
+                response_deserializer=service.RunTaskResponse.deserialize,
+            )
+        return self._stubs['run_task']
+
+    @property
+    def get_job(self) -> Callable[
+            [service.GetJobRequest],
+            tasks.Job]:
+        r"""Return a callable for the get job method over gRPC.
+
+        Get job resource.
+
+        Returns:
+            Callable[[~.GetJobRequest],
+                    ~.Job]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'get_job' not in self._stubs:
+            self._stubs['get_job'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/GetJob',
+                request_serializer=service.GetJobRequest.serialize,
+                response_deserializer=tasks.Job.deserialize,
+            )
+        return self._stubs['get_job']
+
+    @property
+    def cancel_job(self) -> Callable[
+            [service.CancelJobRequest],
+            empty_pb2.Empty]:
+        r"""Return a callable for the cancel job method over gRPC.
+
+        Cancel jobs running for the task resource.
+
+        Returns:
+            Callable[[~.CancelJobRequest],
+                    ~.Empty]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'cancel_job' not in self._stubs:
+            self._stubs['cancel_job'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/CancelJob',
+                request_serializer=service.CancelJobRequest.serialize,
+                response_deserializer=empty_pb2.Empty.FromString,
+            )
+        return self._stubs['cancel_job']
+
+    @property
+    def create_environment(self) -> Callable[
+            [service.CreateEnvironmentRequest],
+            operations_pb2.Operation]:
+        r"""Return a callable for the create environment method over gRPC.
+
+        Create an environment resource.
+
+        Returns:
+            Callable[[~.CreateEnvironmentRequest],
+                    ~.Operation]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'create_environment' not in self._stubs:
+            self._stubs['create_environment'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/CreateEnvironment',
+                request_serializer=service.CreateEnvironmentRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['create_environment']
+
+    @property
+    def update_environment(self) -> Callable[
+            [service.UpdateEnvironmentRequest],
+            operations_pb2.Operation]:
+        r"""Return a callable for the update environment method over gRPC.
+
+        Update the environment resource.
+
+        Returns:
+            Callable[[~.UpdateEnvironmentRequest],
+                    ~.Operation]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'update_environment' not in self._stubs:
+            self._stubs['update_environment'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/UpdateEnvironment',
+                request_serializer=service.UpdateEnvironmentRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['update_environment']
+
+    @property
+    def delete_environment(self) -> Callable[
+            [service.DeleteEnvironmentRequest],
+            operations_pb2.Operation]:
+        r"""Return a callable for the delete environment method over gRPC.
+
+        Delete the environment resource. All the child
+        resources must have been deleted before environment
+        deletion can be initiated.
+
+        Returns:
+            Callable[[~.DeleteEnvironmentRequest],
+                    ~.Operation]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'delete_environment' not in self._stubs:
+            self._stubs['delete_environment'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/DeleteEnvironment',
+                request_serializer=service.DeleteEnvironmentRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['delete_environment']
+
+    @property
+    def list_environments(self) -> Callable[
+            [service.ListEnvironmentsRequest],
+            service.ListEnvironmentsResponse]:
+        r"""Return a callable for the list environments method over gRPC.
+
+        Lists environments under the given lake.
+
+        Returns:
+            Callable[[~.ListEnvironmentsRequest],
+                    ~.ListEnvironmentsResponse]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'list_environments' not in self._stubs:
+            self._stubs['list_environments'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/ListEnvironments',
+                request_serializer=service.ListEnvironmentsRequest.serialize,
+                response_deserializer=service.ListEnvironmentsResponse.deserialize,
+            )
+        return self._stubs['list_environments']
+
+    @property
+    def get_environment(self) -> Callable[
+            [service.GetEnvironmentRequest],
+            analyze.Environment]:
+        r"""Return a callable for the get environment method over gRPC.
+
+        Get environment resource.
+
+        Returns:
+            Callable[[~.GetEnvironmentRequest],
+                    ~.Environment]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'get_environment' not in self._stubs:
+            self._stubs['get_environment'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/GetEnvironment',
+                request_serializer=service.GetEnvironmentRequest.serialize,
+                response_deserializer=analyze.Environment.deserialize,
+            )
+        return self._stubs['get_environment']
+
+    @property
+    def list_sessions(self) -> Callable[
+            [service.ListSessionsRequest],
+            service.ListSessionsResponse]:
+        r"""Return a callable for the list sessions method over gRPC.
+
+        Lists session resources in an environment.
+
+        Returns:
+            Callable[[~.ListSessionsRequest],
+                    ~.ListSessionsResponse]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'list_sessions' not in self._stubs:
+            self._stubs['list_sessions'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/ListSessions',
+                request_serializer=service.ListSessionsRequest.serialize,
+                response_deserializer=service.ListSessionsResponse.deserialize,
+            )
+        return self._stubs['list_sessions']
+
+    def close(self):
+        self.grpc_channel.close()
+
+    @property
+    def delete_operation(
+        self,
+    ) -> Callable[[operations_pb2.DeleteOperationRequest], None]:
+        r"""Return a callable for the delete_operation method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "delete_operation" not in self._stubs:
+            self._stubs["delete_operation"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/DeleteOperation",
+                request_serializer=operations_pb2.DeleteOperationRequest.SerializeToString,
+                response_deserializer=None,
+            )
+        return self._stubs["delete_operation"]
+
+    @property
+    def cancel_operation(
+        self,
+    ) -> Callable[[operations_pb2.CancelOperationRequest], None]:
+        r"""Return a callable for the cancel_operation method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "cancel_operation" not in self._stubs:
+            self._stubs["cancel_operation"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/CancelOperation",
+                request_serializer=operations_pb2.CancelOperationRequest.SerializeToString,
+                response_deserializer=None,
+            )
+        return self._stubs["cancel_operation"]
+
+    @property
+    def get_operation(
+        self,
+    ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]:
+        r"""Return a callable for the get_operation method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "get_operation" not in self._stubs:
+            self._stubs["get_operation"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/GetOperation",
+                request_serializer=operations_pb2.GetOperationRequest.SerializeToString,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs["get_operation"]
+
+    @property
+    def list_operations(
+        self,
+    ) -> Callable[[operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse]:
+        r"""Return a callable for the list_operations method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "list_operations" not in self._stubs:
+            self._stubs["list_operations"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/ListOperations",
+                request_serializer=operations_pb2.ListOperationsRequest.SerializeToString,
+                response_deserializer=operations_pb2.ListOperationsResponse.FromString,
+            )
+        return self._stubs["list_operations"]
+
+    @property
+    def list_locations(
+        self,
+    ) -> Callable[[locations_pb2.ListLocationsRequest], locations_pb2.ListLocationsResponse]:
+        r"""Return a callable for the list locations method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "list_locations" not in self._stubs:
+            self._stubs["list_locations"] = self.grpc_channel.unary_unary(
+                "/google.cloud.location.Locations/ListLocations",
+                request_serializer=locations_pb2.ListLocationsRequest.SerializeToString,
+                response_deserializer=locations_pb2.ListLocationsResponse.FromString,
+            )
+        return self._stubs["list_locations"]
+
+    @property
+    def get_location(
+        self,
+    ) -> Callable[[locations_pb2.GetLocationRequest], locations_pb2.Location]:
+        r"""Return a callable for the list locations method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "get_location" not in self._stubs:
+            self._stubs["get_location"] = self.grpc_channel.unary_unary(
+                "/google.cloud.location.Locations/GetLocation",
+                request_serializer=locations_pb2.GetLocationRequest.SerializeToString,
+                response_deserializer=locations_pb2.Location.FromString,
+            )
+        return self._stubs["get_location"]
+
+    @property
+    def kind(self) -> str:
+        return "grpc"
+
+
+__all__ = (
+    'DataplexServiceGrpcTransport',
+)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/dataplex_service/transports/grpc_asyncio.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/dataplex_service/transports/grpc_asyncio.py
new file mode 100644
index 000000000000..d9f2b367ca58
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/dataplex_service/transports/grpc_asyncio.py
@@ -0,0 +1,1593 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+import inspect
+import warnings
+from typing import Awaitable, Callable, Dict, Optional, Sequence, Tuple, Union
+
+from google.api_core import gapic_v1
+from google.api_core import grpc_helpers_async
+from google.api_core import exceptions as core_exceptions
+from google.api_core import retry_async as retries
+from google.api_core import operations_v1
+from google.auth import credentials as ga_credentials   # type: ignore
+from google.auth.transport.grpc import SslCredentials  # type: ignore
+
+import grpc                        # type: ignore
+from grpc.experimental import aio  # type: ignore
+
+from google.cloud.dataplex_v1.types import analyze
+from google.cloud.dataplex_v1.types import resources
+from google.cloud.dataplex_v1.types import service
+from google.cloud.dataplex_v1.types import tasks
+from google.cloud.location import locations_pb2 # type: ignore
+from google.iam.v1 import iam_policy_pb2  # type: ignore
+from google.iam.v1 import policy_pb2  # type: ignore
+from google.longrunning import operations_pb2 # type: ignore
+from google.protobuf import empty_pb2  # type: ignore
+from .base import DataplexServiceTransport, DEFAULT_CLIENT_INFO
+from .grpc import DataplexServiceGrpcTransport
+
+
+class DataplexServiceGrpcAsyncIOTransport(DataplexServiceTransport):
+    """gRPC AsyncIO backend transport for DataplexService.
+
+    Dataplex service provides data lakes as a service. The
+    primary resources offered by this service are Lakes, Zones and
+    Assets which collectively allow a data administrator to
+    organize, manage, secure and catalog data across their
+    organization located across cloud projects in a variety of
+    storage systems including Cloud Storage and BigQuery.
+
+    This class defines the same methods as the primary client, so the
+    primary client can load the underlying transport implementation
+    and call it.
+
+    It sends protocol buffers over the wire using gRPC (which is built on
+    top of HTTP/2); the ``grpcio`` package must be installed.
+    """
+
+    _grpc_channel: aio.Channel
+    _stubs: Dict[str, Callable] = {}
+
+    @classmethod
+    def create_channel(cls,
+                       host: str = 'dataplex.googleapis.com',
+                       credentials: Optional[ga_credentials.Credentials] = None,
+                       credentials_file: Optional[str] = None,
+                       scopes: Optional[Sequence[str]] = None,
+                       quota_project_id: Optional[str] = None,
+                       **kwargs) -> aio.Channel:
+        """Create and return a gRPC AsyncIO channel object.
+        Args:
+            host (Optional[str]): The host for the channel to use.
+            credentials (Optional[~.Credentials]): The
+                authorization credentials to attach to requests. These
+                credentials identify this application to the service. If
+                none are specified, the client will attempt to ascertain
+                the credentials from the environment.
+            credentials_file (Optional[str]): A file with credentials that can
+                be loaded with :func:`google.auth.load_credentials_from_file`.
+            scopes (Optional[Sequence[str]]): A optional list of scopes needed for this
+                service. These are only used when credentials are not specified and
+                are passed to :func:`google.auth.default`.
+            quota_project_id (Optional[str]): An optional project to use for billing
+                and quota.
+            kwargs (Optional[dict]): Keyword arguments, which are passed to the
+                channel creation.
+        Returns:
+            aio.Channel: A gRPC AsyncIO channel object.
+        """
+
+        return grpc_helpers_async.create_channel(
+            host,
+            credentials=credentials,
+            credentials_file=credentials_file,
+            quota_project_id=quota_project_id,
+            default_scopes=cls.AUTH_SCOPES,
+            scopes=scopes,
+            default_host=cls.DEFAULT_HOST,
+            **kwargs
+        )
+
+    def __init__(self, *,
+            host: str = 'dataplex.googleapis.com',
+            credentials: Optional[ga_credentials.Credentials] = None,
+            credentials_file: Optional[str] = None,
+            scopes: Optional[Sequence[str]] = None,
+            channel: Optional[Union[aio.Channel, Callable[..., aio.Channel]]] = None,
+            api_mtls_endpoint: Optional[str] = None,
+            client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
+            ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None,
+            client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
+            quota_project_id: Optional[str] = None,
+            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
+            always_use_jwt_access: Optional[bool] = False,
+            api_audience: Optional[str] = None,
+            ) -> None:
+        """Instantiate the transport.
+
+        Args:
+            host (Optional[str]):
+                 The hostname to connect to (default: 'dataplex.googleapis.com').
+            credentials (Optional[google.auth.credentials.Credentials]): The
+                authorization credentials to attach to requests. These
+                credentials identify the application to the service; if none
+                are specified, the client will attempt to ascertain the
+                credentials from the environment.
+                This argument is ignored if a ``channel`` instance is provided.
+            credentials_file (Optional[str]): A file with credentials that can
+                be loaded with :func:`google.auth.load_credentials_from_file`.
+                This argument is ignored if a ``channel`` instance is provided.
+            scopes (Optional[Sequence[str]]): A optional list of scopes needed for this
+                service. These are only used when credentials are not specified and
+                are passed to :func:`google.auth.default`.
+            channel (Optional[Union[aio.Channel, Callable[..., aio.Channel]]]):
+                A ``Channel`` instance through which to make calls, or a Callable
+                that constructs and returns one. If set to None, ``self.create_channel``
+                is used to create the channel. If a Callable is given, it will be called
+                with the same arguments as used in ``self.create_channel``.
+            api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint.
+                If provided, it overrides the ``host`` argument and tries to create
+                a mutual TLS channel with client SSL credentials from
+                ``client_cert_source`` or application default SSL credentials.
+            client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]):
+                Deprecated. A callback to provide client SSL certificate bytes and
+                private key bytes, both in PEM format. It is ignored if
+                ``api_mtls_endpoint`` is None.
+            ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials
+                for the grpc channel. It is ignored if a ``channel`` instance is provided.
+            client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]):
+                A callback to provide client certificate bytes and private key bytes,
+                both in PEM format. It is used to configure a mutual TLS channel. It is
+                ignored if a ``channel`` instance or ``ssl_channel_credentials`` is provided.
+            quota_project_id (Optional[str]): An optional project to use for billing
+                and quota.
+            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
+                The client info used to send a user-agent string along with
+                API requests. If ``None``, then default info will be used.
+                Generally, you only need to set this if you're developing
+                your own client library.
+            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
+                be used for service account credentials.
+
+        Raises:
+            google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport
+              creation failed for any reason.
+          google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials``
+              and ``credentials_file`` are passed.
+        """
+        self._grpc_channel = None
+        self._ssl_channel_credentials = ssl_channel_credentials
+        self._stubs: Dict[str, Callable] = {}
+        self._operations_client: Optional[operations_v1.OperationsAsyncClient] = None
+
+        if api_mtls_endpoint:
+            warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning)
+        if client_cert_source:
+            warnings.warn("client_cert_source is deprecated", DeprecationWarning)
+
+        if isinstance(channel, aio.Channel):
+            # Ignore credentials if a channel was passed.
+            credentials = None
+            self._ignore_credentials = True
+            # If a channel was explicitly provided, set it.
+            self._grpc_channel = channel
+            self._ssl_channel_credentials = None
+        else:
+            if api_mtls_endpoint:
+                host = api_mtls_endpoint
+
+                # Create SSL credentials with client_cert_source or application
+                # default SSL credentials.
+                if client_cert_source:
+                    cert, key = client_cert_source()
+                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
+                        certificate_chain=cert, private_key=key
+                    )
+                else:
+                    self._ssl_channel_credentials = SslCredentials().ssl_credentials
+
+            else:
+                if client_cert_source_for_mtls and not ssl_channel_credentials:
+                    cert, key = client_cert_source_for_mtls()
+                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
+                        certificate_chain=cert, private_key=key
+                    )
+
+        # The base transport sets the host, credentials and scopes
+        super().__init__(
+            host=host,
+            credentials=credentials,
+            credentials_file=credentials_file,
+            scopes=scopes,
+            quota_project_id=quota_project_id,
+            client_info=client_info,
+            always_use_jwt_access=always_use_jwt_access,
+            api_audience=api_audience,
+        )
+
+        if not self._grpc_channel:
+            # initialize with the provided callable or the default channel
+            channel_init = channel or type(self).create_channel
+            self._grpc_channel = channel_init(
+                self._host,
+                # use the credentials which are saved
+                credentials=self._credentials,
+                # Set ``credentials_file`` to ``None`` here as
+                # the credentials that we saved earlier should be used.
+                credentials_file=None,
+                scopes=self._scopes,
+                ssl_credentials=self._ssl_channel_credentials,
+                quota_project_id=quota_project_id,
+                options=[
+                    ("grpc.max_send_message_length", -1),
+                    ("grpc.max_receive_message_length", -1),
+                ],
+            )
+
+        # Wrap messages. This must be done after self._grpc_channel exists
+        self._wrap_with_kind = "kind" in inspect.signature(gapic_v1.method_async.wrap_method).parameters
+        self._prep_wrapped_messages(client_info)
+
+    @property
+    def grpc_channel(self) -> aio.Channel:
+        """Create the channel designed to connect to this service.
+
+        This property caches on the instance; repeated calls return
+        the same channel.
+        """
+        # Return the channel from cache.
+        return self._grpc_channel
+
+    @property
+    def operations_client(self) -> operations_v1.OperationsAsyncClient:
+        """Create the client designed to process long-running operations.
+
+        This property caches on the instance; repeated calls return the same
+        client.
+        """
+        # Quick check: Only create a new client if we do not already have one.
+        if self._operations_client is None:
+            self._operations_client = operations_v1.OperationsAsyncClient(
+                self.grpc_channel
+            )
+
+        # Return the client from cache.
+        return self._operations_client
+
+    @property
+    def create_lake(self) -> Callable[
+            [service.CreateLakeRequest],
+            Awaitable[operations_pb2.Operation]]:
+        r"""Return a callable for the create lake method over gRPC.
+
+        Creates a lake resource.
+
+        Returns:
+            Callable[[~.CreateLakeRequest],
+                    Awaitable[~.Operation]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'create_lake' not in self._stubs:
+            self._stubs['create_lake'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/CreateLake',
+                request_serializer=service.CreateLakeRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['create_lake']
+
+    @property
+    def update_lake(self) -> Callable[
+            [service.UpdateLakeRequest],
+            Awaitable[operations_pb2.Operation]]:
+        r"""Return a callable for the update lake method over gRPC.
+
+        Updates a lake resource.
+
+        Returns:
+            Callable[[~.UpdateLakeRequest],
+                    Awaitable[~.Operation]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'update_lake' not in self._stubs:
+            self._stubs['update_lake'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/UpdateLake',
+                request_serializer=service.UpdateLakeRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['update_lake']
+
+    @property
+    def delete_lake(self) -> Callable[
+            [service.DeleteLakeRequest],
+            Awaitable[operations_pb2.Operation]]:
+        r"""Return a callable for the delete lake method over gRPC.
+
+        Deletes a lake resource. All zones within the lake
+        must be deleted before the lake can be deleted.
+
+        Returns:
+            Callable[[~.DeleteLakeRequest],
+                    Awaitable[~.Operation]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'delete_lake' not in self._stubs:
+            self._stubs['delete_lake'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/DeleteLake',
+                request_serializer=service.DeleteLakeRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['delete_lake']
+
+    @property
+    def list_lakes(self) -> Callable[
+            [service.ListLakesRequest],
+            Awaitable[service.ListLakesResponse]]:
+        r"""Return a callable for the list lakes method over gRPC.
+
+        Lists lake resources in a project and location.
+
+        Returns:
+            Callable[[~.ListLakesRequest],
+                    Awaitable[~.ListLakesResponse]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'list_lakes' not in self._stubs:
+            self._stubs['list_lakes'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/ListLakes',
+                request_serializer=service.ListLakesRequest.serialize,
+                response_deserializer=service.ListLakesResponse.deserialize,
+            )
+        return self._stubs['list_lakes']
+
+    @property
+    def get_lake(self) -> Callable[
+            [service.GetLakeRequest],
+            Awaitable[resources.Lake]]:
+        r"""Return a callable for the get lake method over gRPC.
+
+        Retrieves a lake resource.
+
+        Returns:
+            Callable[[~.GetLakeRequest],
+                    Awaitable[~.Lake]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'get_lake' not in self._stubs:
+            self._stubs['get_lake'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/GetLake',
+                request_serializer=service.GetLakeRequest.serialize,
+                response_deserializer=resources.Lake.deserialize,
+            )
+        return self._stubs['get_lake']
+
+    @property
+    def list_lake_actions(self) -> Callable[
+            [service.ListLakeActionsRequest],
+            Awaitable[service.ListActionsResponse]]:
+        r"""Return a callable for the list lake actions method over gRPC.
+
+        Lists action resources in a lake.
+
+        Returns:
+            Callable[[~.ListLakeActionsRequest],
+                    Awaitable[~.ListActionsResponse]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'list_lake_actions' not in self._stubs:
+            self._stubs['list_lake_actions'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/ListLakeActions',
+                request_serializer=service.ListLakeActionsRequest.serialize,
+                response_deserializer=service.ListActionsResponse.deserialize,
+            )
+        return self._stubs['list_lake_actions']
+
+    @property
+    def create_zone(self) -> Callable[
+            [service.CreateZoneRequest],
+            Awaitable[operations_pb2.Operation]]:
+        r"""Return a callable for the create zone method over gRPC.
+
+        Creates a zone resource within a lake.
+
+        Returns:
+            Callable[[~.CreateZoneRequest],
+                    Awaitable[~.Operation]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'create_zone' not in self._stubs:
+            self._stubs['create_zone'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/CreateZone',
+                request_serializer=service.CreateZoneRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['create_zone']
+
+    @property
+    def update_zone(self) -> Callable[
+            [service.UpdateZoneRequest],
+            Awaitable[operations_pb2.Operation]]:
+        r"""Return a callable for the update zone method over gRPC.
+
+        Updates a zone resource.
+
+        Returns:
+            Callable[[~.UpdateZoneRequest],
+                    Awaitable[~.Operation]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'update_zone' not in self._stubs:
+            self._stubs['update_zone'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/UpdateZone',
+                request_serializer=service.UpdateZoneRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['update_zone']
+
+    @property
+    def delete_zone(self) -> Callable[
+            [service.DeleteZoneRequest],
+            Awaitable[operations_pb2.Operation]]:
+        r"""Return a callable for the delete zone method over gRPC.
+
+        Deletes a zone resource. All assets within a zone
+        must be deleted before the zone can be deleted.
+
+        Returns:
+            Callable[[~.DeleteZoneRequest],
+                    Awaitable[~.Operation]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'delete_zone' not in self._stubs:
+            self._stubs['delete_zone'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/DeleteZone',
+                request_serializer=service.DeleteZoneRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['delete_zone']
+
+    @property
+    def list_zones(self) -> Callable[
+            [service.ListZonesRequest],
+            Awaitable[service.ListZonesResponse]]:
+        r"""Return a callable for the list zones method over gRPC.
+
+        Lists zone resources in a lake.
+
+        Returns:
+            Callable[[~.ListZonesRequest],
+                    Awaitable[~.ListZonesResponse]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'list_zones' not in self._stubs:
+            self._stubs['list_zones'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/ListZones',
+                request_serializer=service.ListZonesRequest.serialize,
+                response_deserializer=service.ListZonesResponse.deserialize,
+            )
+        return self._stubs['list_zones']
+
+    @property
+    def get_zone(self) -> Callable[
+            [service.GetZoneRequest],
+            Awaitable[resources.Zone]]:
+        r"""Return a callable for the get zone method over gRPC.
+
+        Retrieves a zone resource.
+
+        Returns:
+            Callable[[~.GetZoneRequest],
+                    Awaitable[~.Zone]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'get_zone' not in self._stubs:
+            self._stubs['get_zone'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/GetZone',
+                request_serializer=service.GetZoneRequest.serialize,
+                response_deserializer=resources.Zone.deserialize,
+            )
+        return self._stubs['get_zone']
+
+    @property
+    def list_zone_actions(self) -> Callable[
+            [service.ListZoneActionsRequest],
+            Awaitable[service.ListActionsResponse]]:
+        r"""Return a callable for the list zone actions method over gRPC.
+
+        Lists action resources in a zone.
+
+        Returns:
+            Callable[[~.ListZoneActionsRequest],
+                    Awaitable[~.ListActionsResponse]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'list_zone_actions' not in self._stubs:
+            self._stubs['list_zone_actions'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/ListZoneActions',
+                request_serializer=service.ListZoneActionsRequest.serialize,
+                response_deserializer=service.ListActionsResponse.deserialize,
+            )
+        return self._stubs['list_zone_actions']
+
+    @property
+    def create_asset(self) -> Callable[
+            [service.CreateAssetRequest],
+            Awaitable[operations_pb2.Operation]]:
+        r"""Return a callable for the create asset method over gRPC.
+
+        Creates an asset resource.
+
+        Returns:
+            Callable[[~.CreateAssetRequest],
+                    Awaitable[~.Operation]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'create_asset' not in self._stubs:
+            self._stubs['create_asset'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/CreateAsset',
+                request_serializer=service.CreateAssetRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['create_asset']
+
+    @property
+    def update_asset(self) -> Callable[
+            [service.UpdateAssetRequest],
+            Awaitable[operations_pb2.Operation]]:
+        r"""Return a callable for the update asset method over gRPC.
+
+        Updates an asset resource.
+
+        Returns:
+            Callable[[~.UpdateAssetRequest],
+                    Awaitable[~.Operation]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'update_asset' not in self._stubs:
+            self._stubs['update_asset'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/UpdateAsset',
+                request_serializer=service.UpdateAssetRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['update_asset']
+
+    @property
+    def delete_asset(self) -> Callable[
+            [service.DeleteAssetRequest],
+            Awaitable[operations_pb2.Operation]]:
+        r"""Return a callable for the delete asset method over gRPC.
+
+        Deletes an asset resource. The referenced storage
+        resource is detached (default) or deleted based on the
+        associated Lifecycle policy.
+
+        Returns:
+            Callable[[~.DeleteAssetRequest],
+                    Awaitable[~.Operation]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'delete_asset' not in self._stubs:
+            self._stubs['delete_asset'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/DeleteAsset',
+                request_serializer=service.DeleteAssetRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['delete_asset']
+
+    @property
+    def list_assets(self) -> Callable[
+            [service.ListAssetsRequest],
+            Awaitable[service.ListAssetsResponse]]:
+        r"""Return a callable for the list assets method over gRPC.
+
+        Lists asset resources in a zone.
+
+        Returns:
+            Callable[[~.ListAssetsRequest],
+                    Awaitable[~.ListAssetsResponse]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'list_assets' not in self._stubs:
+            self._stubs['list_assets'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/ListAssets',
+                request_serializer=service.ListAssetsRequest.serialize,
+                response_deserializer=service.ListAssetsResponse.deserialize,
+            )
+        return self._stubs['list_assets']
+
+    @property
+    def get_asset(self) -> Callable[
+            [service.GetAssetRequest],
+            Awaitable[resources.Asset]]:
+        r"""Return a callable for the get asset method over gRPC.
+
+        Retrieves an asset resource.
+
+        Returns:
+            Callable[[~.GetAssetRequest],
+                    Awaitable[~.Asset]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'get_asset' not in self._stubs:
+            self._stubs['get_asset'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/GetAsset',
+                request_serializer=service.GetAssetRequest.serialize,
+                response_deserializer=resources.Asset.deserialize,
+            )
+        return self._stubs['get_asset']
+
+    @property
+    def list_asset_actions(self) -> Callable[
+            [service.ListAssetActionsRequest],
+            Awaitable[service.ListActionsResponse]]:
+        r"""Return a callable for the list asset actions method over gRPC.
+
+        Lists action resources in an asset.
+
+        Returns:
+            Callable[[~.ListAssetActionsRequest],
+                    Awaitable[~.ListActionsResponse]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'list_asset_actions' not in self._stubs:
+            self._stubs['list_asset_actions'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/ListAssetActions',
+                request_serializer=service.ListAssetActionsRequest.serialize,
+                response_deserializer=service.ListActionsResponse.deserialize,
+            )
+        return self._stubs['list_asset_actions']
+
+    @property
+    def create_task(self) -> Callable[
+            [service.CreateTaskRequest],
+            Awaitable[operations_pb2.Operation]]:
+        r"""Return a callable for the create task method over gRPC.
+
+        Creates a task resource within a lake.
+
+        Returns:
+            Callable[[~.CreateTaskRequest],
+                    Awaitable[~.Operation]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'create_task' not in self._stubs:
+            self._stubs['create_task'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/CreateTask',
+                request_serializer=service.CreateTaskRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['create_task']
+
+    @property
+    def update_task(self) -> Callable[
+            [service.UpdateTaskRequest],
+            Awaitable[operations_pb2.Operation]]:
+        r"""Return a callable for the update task method over gRPC.
+
+        Update the task resource.
+
+        Returns:
+            Callable[[~.UpdateTaskRequest],
+                    Awaitable[~.Operation]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'update_task' not in self._stubs:
+            self._stubs['update_task'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/UpdateTask',
+                request_serializer=service.UpdateTaskRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['update_task']
+
+    @property
+    def delete_task(self) -> Callable[
+            [service.DeleteTaskRequest],
+            Awaitable[operations_pb2.Operation]]:
+        r"""Return a callable for the delete task method over gRPC.
+
+        Delete the task resource.
+
+        Returns:
+            Callable[[~.DeleteTaskRequest],
+                    Awaitable[~.Operation]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'delete_task' not in self._stubs:
+            self._stubs['delete_task'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/DeleteTask',
+                request_serializer=service.DeleteTaskRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['delete_task']
+
+    @property
+    def list_tasks(self) -> Callable[
+            [service.ListTasksRequest],
+            Awaitable[service.ListTasksResponse]]:
+        r"""Return a callable for the list tasks method over gRPC.
+
+        Lists tasks under the given lake.
+
+        Returns:
+            Callable[[~.ListTasksRequest],
+                    Awaitable[~.ListTasksResponse]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'list_tasks' not in self._stubs:
+            self._stubs['list_tasks'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/ListTasks',
+                request_serializer=service.ListTasksRequest.serialize,
+                response_deserializer=service.ListTasksResponse.deserialize,
+            )
+        return self._stubs['list_tasks']
+
+    @property
+    def get_task(self) -> Callable[
+            [service.GetTaskRequest],
+            Awaitable[tasks.Task]]:
+        r"""Return a callable for the get task method over gRPC.
+
+        Get task resource.
+
+        Returns:
+            Callable[[~.GetTaskRequest],
+                    Awaitable[~.Task]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'get_task' not in self._stubs:
+            self._stubs['get_task'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/GetTask',
+                request_serializer=service.GetTaskRequest.serialize,
+                response_deserializer=tasks.Task.deserialize,
+            )
+        return self._stubs['get_task']
+
+    @property
+    def list_jobs(self) -> Callable[
+            [service.ListJobsRequest],
+            Awaitable[service.ListJobsResponse]]:
+        r"""Return a callable for the list jobs method over gRPC.
+
+        Lists Jobs under the given task.
+
+        Returns:
+            Callable[[~.ListJobsRequest],
+                    Awaitable[~.ListJobsResponse]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'list_jobs' not in self._stubs:
+            self._stubs['list_jobs'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/ListJobs',
+                request_serializer=service.ListJobsRequest.serialize,
+                response_deserializer=service.ListJobsResponse.deserialize,
+            )
+        return self._stubs['list_jobs']
+
+    @property
+    def run_task(self) -> Callable[
+            [service.RunTaskRequest],
+            Awaitable[service.RunTaskResponse]]:
+        r"""Return a callable for the run task method over gRPC.
+
+        Run an on demand execution of a Task.
+
+        Returns:
+            Callable[[~.RunTaskRequest],
+                    Awaitable[~.RunTaskResponse]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'run_task' not in self._stubs:
+            self._stubs['run_task'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/RunTask',
+                request_serializer=service.RunTaskRequest.serialize,
+                response_deserializer=service.RunTaskResponse.deserialize,
+            )
+        return self._stubs['run_task']
+
+    @property
+    def get_job(self) -> Callable[
+            [service.GetJobRequest],
+            Awaitable[tasks.Job]]:
+        r"""Return a callable for the get job method over gRPC.
+
+        Get job resource.
+
+        Returns:
+            Callable[[~.GetJobRequest],
+                    Awaitable[~.Job]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'get_job' not in self._stubs:
+            self._stubs['get_job'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/GetJob',
+                request_serializer=service.GetJobRequest.serialize,
+                response_deserializer=tasks.Job.deserialize,
+            )
+        return self._stubs['get_job']
+
+    @property
+    def cancel_job(self) -> Callable[
+            [service.CancelJobRequest],
+            Awaitable[empty_pb2.Empty]]:
+        r"""Return a callable for the cancel job method over gRPC.
+
+        Cancel jobs running for the task resource.
+
+        Returns:
+            Callable[[~.CancelJobRequest],
+                    Awaitable[~.Empty]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'cancel_job' not in self._stubs:
+            self._stubs['cancel_job'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/CancelJob',
+                request_serializer=service.CancelJobRequest.serialize,
+                response_deserializer=empty_pb2.Empty.FromString,
+            )
+        return self._stubs['cancel_job']
+
+    @property
+    def create_environment(self) -> Callable[
+            [service.CreateEnvironmentRequest],
+            Awaitable[operations_pb2.Operation]]:
+        r"""Return a callable for the create environment method over gRPC.
+
+        Create an environment resource.
+
+        Returns:
+            Callable[[~.CreateEnvironmentRequest],
+                    Awaitable[~.Operation]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'create_environment' not in self._stubs:
+            self._stubs['create_environment'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/CreateEnvironment',
+                request_serializer=service.CreateEnvironmentRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['create_environment']
+
+    @property
+    def update_environment(self) -> Callable[
+            [service.UpdateEnvironmentRequest],
+            Awaitable[operations_pb2.Operation]]:
+        r"""Return a callable for the update environment method over gRPC.
+
+        Update the environment resource.
+
+        Returns:
+            Callable[[~.UpdateEnvironmentRequest],
+                    Awaitable[~.Operation]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'update_environment' not in self._stubs:
+            self._stubs['update_environment'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/UpdateEnvironment',
+                request_serializer=service.UpdateEnvironmentRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['update_environment']
+
+    @property
+    def delete_environment(self) -> Callable[
+            [service.DeleteEnvironmentRequest],
+            Awaitable[operations_pb2.Operation]]:
+        r"""Return a callable for the delete environment method over gRPC.
+
+        Delete the environment resource. All the child
+        resources must have been deleted before environment
+        deletion can be initiated.
+
+        Returns:
+            Callable[[~.DeleteEnvironmentRequest],
+                    Awaitable[~.Operation]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'delete_environment' not in self._stubs:
+            self._stubs['delete_environment'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/DeleteEnvironment',
+                request_serializer=service.DeleteEnvironmentRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs['delete_environment']
+
+    @property
+    def list_environments(self) -> Callable[
+            [service.ListEnvironmentsRequest],
+            Awaitable[service.ListEnvironmentsResponse]]:
+        r"""Return a callable for the list environments method over gRPC.
+
+        Lists environments under the given lake.
+
+        Returns:
+            Callable[[~.ListEnvironmentsRequest],
+                    Awaitable[~.ListEnvironmentsResponse]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'list_environments' not in self._stubs:
+            self._stubs['list_environments'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/ListEnvironments',
+                request_serializer=service.ListEnvironmentsRequest.serialize,
+                response_deserializer=service.ListEnvironmentsResponse.deserialize,
+            )
+        return self._stubs['list_environments']
+
+    @property
+    def get_environment(self) -> Callable[
+            [service.GetEnvironmentRequest],
+            Awaitable[analyze.Environment]]:
+        r"""Return a callable for the get environment method over gRPC.
+
+        Get environment resource.
+
+        Returns:
+            Callable[[~.GetEnvironmentRequest],
+                    Awaitable[~.Environment]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'get_environment' not in self._stubs:
+            self._stubs['get_environment'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/GetEnvironment',
+                request_serializer=service.GetEnvironmentRequest.serialize,
+                response_deserializer=analyze.Environment.deserialize,
+            )
+        return self._stubs['get_environment']
+
+    @property
+    def list_sessions(self) -> Callable[
+            [service.ListSessionsRequest],
+            Awaitable[service.ListSessionsResponse]]:
+        r"""Return a callable for the list sessions method over gRPC.
+
+        Lists session resources in an environment.
+
+        Returns:
+            Callable[[~.ListSessionsRequest],
+                    Awaitable[~.ListSessionsResponse]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'list_sessions' not in self._stubs:
+            self._stubs['list_sessions'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.DataplexService/ListSessions',
+                request_serializer=service.ListSessionsRequest.serialize,
+                response_deserializer=service.ListSessionsResponse.deserialize,
+            )
+        return self._stubs['list_sessions']
+
+    def _prep_wrapped_messages(self, client_info):
+        """ Precompute the wrapped methods, overriding the base class method to use async wrappers."""
+        self._wrapped_methods = {
+            self.create_lake: self._wrap_method(
+                self.create_lake,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.update_lake: self._wrap_method(
+                self.update_lake,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.delete_lake: self._wrap_method(
+                self.delete_lake,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.list_lakes: self._wrap_method(
+                self.list_lakes,
+                default_retry=retries.AsyncRetry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.get_lake: self._wrap_method(
+                self.get_lake,
+                default_retry=retries.AsyncRetry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.list_lake_actions: self._wrap_method(
+                self.list_lake_actions,
+                default_retry=retries.AsyncRetry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.create_zone: self._wrap_method(
+                self.create_zone,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.update_zone: self._wrap_method(
+                self.update_zone,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.delete_zone: self._wrap_method(
+                self.delete_zone,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.list_zones: self._wrap_method(
+                self.list_zones,
+                default_retry=retries.AsyncRetry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.get_zone: self._wrap_method(
+                self.get_zone,
+                default_retry=retries.AsyncRetry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.list_zone_actions: self._wrap_method(
+                self.list_zone_actions,
+                default_retry=retries.AsyncRetry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.create_asset: self._wrap_method(
+                self.create_asset,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.update_asset: self._wrap_method(
+                self.update_asset,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.delete_asset: self._wrap_method(
+                self.delete_asset,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.list_assets: self._wrap_method(
+                self.list_assets,
+                default_retry=retries.AsyncRetry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.get_asset: self._wrap_method(
+                self.get_asset,
+                default_retry=retries.AsyncRetry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.list_asset_actions: self._wrap_method(
+                self.list_asset_actions,
+                default_retry=retries.AsyncRetry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.create_task: self._wrap_method(
+                self.create_task,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.update_task: self._wrap_method(
+                self.update_task,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.delete_task: self._wrap_method(
+                self.delete_task,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.list_tasks: self._wrap_method(
+                self.list_tasks,
+                default_retry=retries.AsyncRetry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.get_task: self._wrap_method(
+                self.get_task,
+                default_retry=retries.AsyncRetry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.list_jobs: self._wrap_method(
+                self.list_jobs,
+                default_retry=retries.AsyncRetry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.run_task: self._wrap_method(
+                self.run_task,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.get_job: self._wrap_method(
+                self.get_job,
+                default_retry=retries.AsyncRetry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.cancel_job: self._wrap_method(
+                self.cancel_job,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.create_environment: self._wrap_method(
+                self.create_environment,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.update_environment: self._wrap_method(
+                self.update_environment,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.delete_environment: self._wrap_method(
+                self.delete_environment,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.list_environments: self._wrap_method(
+                self.list_environments,
+                default_retry=retries.AsyncRetry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.get_environment: self._wrap_method(
+                self.get_environment,
+                default_retry=retries.AsyncRetry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.list_sessions: self._wrap_method(
+                self.list_sessions,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.get_location: self._wrap_method(
+                self.get_location,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.list_locations: self._wrap_method(
+                self.list_locations,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.cancel_operation: self._wrap_method(
+                self.cancel_operation,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.delete_operation: self._wrap_method(
+                self.delete_operation,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.get_operation: self._wrap_method(
+                self.get_operation,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.list_operations: self._wrap_method(
+                self.list_operations,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+        }
+
+    def _wrap_method(self, func, *args, **kwargs):
+        if self._wrap_with_kind:  # pragma: NO COVER
+            kwargs["kind"] = self.kind
+        return gapic_v1.method_async.wrap_method(func, *args, **kwargs)
+
+    def close(self):
+        return self.grpc_channel.close()
+
+    @property
+    def kind(self) -> str:
+        return "grpc_asyncio"
+
+    @property
+    def delete_operation(
+        self,
+    ) -> Callable[[operations_pb2.DeleteOperationRequest], None]:
+        r"""Return a callable for the delete_operation method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "delete_operation" not in self._stubs:
+            self._stubs["delete_operation"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/DeleteOperation",
+                request_serializer=operations_pb2.DeleteOperationRequest.SerializeToString,
+                response_deserializer=None,
+            )
+        return self._stubs["delete_operation"]
+
+    @property
+    def cancel_operation(
+        self,
+    ) -> Callable[[operations_pb2.CancelOperationRequest], None]:
+        r"""Return a callable for the cancel_operation method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "cancel_operation" not in self._stubs:
+            self._stubs["cancel_operation"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/CancelOperation",
+                request_serializer=operations_pb2.CancelOperationRequest.SerializeToString,
+                response_deserializer=None,
+            )
+        return self._stubs["cancel_operation"]
+
+    @property
+    def get_operation(
+        self,
+    ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]:
+        r"""Return a callable for the get_operation method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "get_operation" not in self._stubs:
+            self._stubs["get_operation"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/GetOperation",
+                request_serializer=operations_pb2.GetOperationRequest.SerializeToString,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs["get_operation"]
+
+    @property
+    def list_operations(
+        self,
+    ) -> Callable[[operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse]:
+        r"""Return a callable for the list_operations method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "list_operations" not in self._stubs:
+            self._stubs["list_operations"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/ListOperations",
+                request_serializer=operations_pb2.ListOperationsRequest.SerializeToString,
+                response_deserializer=operations_pb2.ListOperationsResponse.FromString,
+            )
+        return self._stubs["list_operations"]
+
+    @property
+    def list_locations(
+        self,
+    ) -> Callable[[locations_pb2.ListLocationsRequest], locations_pb2.ListLocationsResponse]:
+        r"""Return a callable for the list locations method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "list_locations" not in self._stubs:
+            self._stubs["list_locations"] = self.grpc_channel.unary_unary(
+                "/google.cloud.location.Locations/ListLocations",
+                request_serializer=locations_pb2.ListLocationsRequest.SerializeToString,
+                response_deserializer=locations_pb2.ListLocationsResponse.FromString,
+            )
+        return self._stubs["list_locations"]
+
+    @property
+    def get_location(
+        self,
+    ) -> Callable[[locations_pb2.GetLocationRequest], locations_pb2.Location]:
+        r"""Return a callable for the list locations method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "get_location" not in self._stubs:
+            self._stubs["get_location"] = self.grpc_channel.unary_unary(
+                "/google.cloud.location.Locations/GetLocation",
+                request_serializer=locations_pb2.GetLocationRequest.SerializeToString,
+                response_deserializer=locations_pb2.Location.FromString,
+            )
+        return self._stubs["get_location"]
+
+
+__all__ = (
+    'DataplexServiceGrpcAsyncIOTransport',
+)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/metadata_service/__init__.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/metadata_service/__init__.py
new file mode 100644
index 000000000000..8645ebc67c27
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/metadata_service/__init__.py
@@ -0,0 +1,22 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from .client import MetadataServiceClient
+from .async_client import MetadataServiceAsyncClient
+
+__all__ = (
+    'MetadataServiceClient',
+    'MetadataServiceAsyncClient',
+)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/metadata_service/async_client.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/metadata_service/async_client.py
new file mode 100644
index 000000000000..5ff1ef4a566b
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/metadata_service/async_client.py
@@ -0,0 +1,1507 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from collections import OrderedDict
+import re
+from typing import Dict, Callable, Mapping, MutableMapping, MutableSequence, Optional, Sequence, Tuple, Type, Union
+
+from google.cloud.dataplex_v1 import gapic_version as package_version
+
+from google.api_core.client_options import ClientOptions
+from google.api_core import exceptions as core_exceptions
+from google.api_core import gapic_v1
+from google.api_core import retry_async as retries
+from google.auth import credentials as ga_credentials   # type: ignore
+from google.oauth2 import service_account              # type: ignore
+
+
+try:
+    OptionalRetry = Union[retries.AsyncRetry, gapic_v1.method._MethodDefault, None]
+except AttributeError:  # pragma: NO COVER
+    OptionalRetry = Union[retries.AsyncRetry, object, None]  # type: ignore
+
+from google.cloud.dataplex_v1.services.metadata_service import pagers
+from google.cloud.dataplex_v1.types import metadata_
+from google.cloud.location import locations_pb2 # type: ignore
+from google.iam.v1 import iam_policy_pb2  # type: ignore
+from google.iam.v1 import policy_pb2  # type: ignore
+from google.longrunning import operations_pb2 # type: ignore
+from google.protobuf import timestamp_pb2  # type: ignore
+from .transports.base import MetadataServiceTransport, DEFAULT_CLIENT_INFO
+from .transports.grpc_asyncio import MetadataServiceGrpcAsyncIOTransport
+from .client import MetadataServiceClient
+
+
+class MetadataServiceAsyncClient:
+    """Metadata service manages metadata resources such as tables,
+    filesets and partitions.
+    """
+
+    _client: MetadataServiceClient
+
+    # Copy defaults from the synchronous client for use here.
+    # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead.
+    DEFAULT_ENDPOINT = MetadataServiceClient.DEFAULT_ENDPOINT
+    DEFAULT_MTLS_ENDPOINT = MetadataServiceClient.DEFAULT_MTLS_ENDPOINT
+    _DEFAULT_ENDPOINT_TEMPLATE = MetadataServiceClient._DEFAULT_ENDPOINT_TEMPLATE
+    _DEFAULT_UNIVERSE = MetadataServiceClient._DEFAULT_UNIVERSE
+
+    entity_path = staticmethod(MetadataServiceClient.entity_path)
+    parse_entity_path = staticmethod(MetadataServiceClient.parse_entity_path)
+    partition_path = staticmethod(MetadataServiceClient.partition_path)
+    parse_partition_path = staticmethod(MetadataServiceClient.parse_partition_path)
+    zone_path = staticmethod(MetadataServiceClient.zone_path)
+    parse_zone_path = staticmethod(MetadataServiceClient.parse_zone_path)
+    common_billing_account_path = staticmethod(MetadataServiceClient.common_billing_account_path)
+    parse_common_billing_account_path = staticmethod(MetadataServiceClient.parse_common_billing_account_path)
+    common_folder_path = staticmethod(MetadataServiceClient.common_folder_path)
+    parse_common_folder_path = staticmethod(MetadataServiceClient.parse_common_folder_path)
+    common_organization_path = staticmethod(MetadataServiceClient.common_organization_path)
+    parse_common_organization_path = staticmethod(MetadataServiceClient.parse_common_organization_path)
+    common_project_path = staticmethod(MetadataServiceClient.common_project_path)
+    parse_common_project_path = staticmethod(MetadataServiceClient.parse_common_project_path)
+    common_location_path = staticmethod(MetadataServiceClient.common_location_path)
+    parse_common_location_path = staticmethod(MetadataServiceClient.parse_common_location_path)
+
+    @classmethod
+    def from_service_account_info(cls, info: dict, *args, **kwargs):
+        """Creates an instance of this client using the provided credentials
+            info.
+
+        Args:
+            info (dict): The service account private key info.
+            args: Additional arguments to pass to the constructor.
+            kwargs: Additional arguments to pass to the constructor.
+
+        Returns:
+            MetadataServiceAsyncClient: The constructed client.
+        """
+        return MetadataServiceClient.from_service_account_info.__func__(MetadataServiceAsyncClient, info, *args, **kwargs)  # type: ignore
+
+    @classmethod
+    def from_service_account_file(cls, filename: str, *args, **kwargs):
+        """Creates an instance of this client using the provided credentials
+            file.
+
+        Args:
+            filename (str): The path to the service account private key json
+                file.
+            args: Additional arguments to pass to the constructor.
+            kwargs: Additional arguments to pass to the constructor.
+
+        Returns:
+            MetadataServiceAsyncClient: The constructed client.
+        """
+        return MetadataServiceClient.from_service_account_file.__func__(MetadataServiceAsyncClient, filename, *args, **kwargs)  # type: ignore
+
+    from_service_account_json = from_service_account_file
+
+    @classmethod
+    def get_mtls_endpoint_and_cert_source(cls, client_options: Optional[ClientOptions] = None):
+        """Return the API endpoint and client cert source for mutual TLS.
+
+        The client cert source is determined in the following order:
+        (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the
+        client cert source is None.
+        (2) if `client_options.client_cert_source` is provided, use the provided one; if the
+        default client cert source exists, use the default one; otherwise the client cert
+        source is None.
+
+        The API endpoint is determined in the following order:
+        (1) if `client_options.api_endpoint` if provided, use the provided one.
+        (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the
+        default mTLS endpoint; if the environment variable is "never", use the default API
+        endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise
+        use the default API endpoint.
+
+        More details can be found at https://google.aip.dev/auth/4114.
+
+        Args:
+            client_options (google.api_core.client_options.ClientOptions): Custom options for the
+                client. Only the `api_endpoint` and `client_cert_source` properties may be used
+                in this method.
+
+        Returns:
+            Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the
+                client cert source to use.
+
+        Raises:
+            google.auth.exceptions.MutualTLSChannelError: If any errors happen.
+        """
+        return MetadataServiceClient.get_mtls_endpoint_and_cert_source(client_options)  # type: ignore
+
+    @property
+    def transport(self) -> MetadataServiceTransport:
+        """Returns the transport used by the client instance.
+
+        Returns:
+            MetadataServiceTransport: The transport used by the client instance.
+        """
+        return self._client.transport
+
+    @property
+    def api_endpoint(self):
+        """Return the API endpoint used by the client instance.
+
+        Returns:
+            str: The API endpoint used by the client instance.
+        """
+        return self._client._api_endpoint
+
+    @property
+    def universe_domain(self) -> str:
+        """Return the universe domain used by the client instance.
+
+        Returns:
+            str: The universe domain used
+                by the client instance.
+        """
+        return self._client._universe_domain
+
+    get_transport_class = MetadataServiceClient.get_transport_class
+
+    def __init__(self, *,
+            credentials: Optional[ga_credentials.Credentials] = None,
+            transport: Optional[Union[str, MetadataServiceTransport, Callable[..., MetadataServiceTransport]]] = "grpc_asyncio",
+            client_options: Optional[ClientOptions] = None,
+            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
+            ) -> None:
+        """Instantiates the metadata service async client.
+
+        Args:
+            credentials (Optional[google.auth.credentials.Credentials]): The
+                authorization credentials to attach to requests. These
+                credentials identify the application to the service; if none
+                are specified, the client will attempt to ascertain the
+                credentials from the environment.
+            transport (Optional[Union[str,MetadataServiceTransport,Callable[..., MetadataServiceTransport]]]):
+                The transport to use, or a Callable that constructs and returns a new transport to use.
+                If a Callable is given, it will be called with the same set of initialization
+                arguments as used in the MetadataServiceTransport constructor.
+                If set to None, a transport is chosen automatically.
+            client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]):
+                Custom options for the client.
+
+                1. The ``api_endpoint`` property can be used to override the
+                default endpoint provided by the client when ``transport`` is
+                not explicitly provided. Only if this property is not set and
+                ``transport`` was not explicitly provided, the endpoint is
+                determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment
+                variable, which have one of the following values:
+                "always" (always use the default mTLS endpoint), "never" (always
+                use the default regular endpoint) and "auto" (auto-switch to the
+                default mTLS endpoint if client certificate is present; this is
+                the default value).
+
+                2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable
+                is "true", then the ``client_cert_source`` property can be used
+                to provide a client certificate for mTLS transport. If
+                not provided, the default SSL client certificate will be used if
+                present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not
+                set, no client certificate will be used.
+
+                3. The ``universe_domain`` property can be used to override the
+                default "googleapis.com" universe. Note that ``api_endpoint``
+                property still takes precedence; and ``universe_domain`` is
+                currently not supported for mTLS.
+
+            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
+                The client info used to send a user-agent string along with
+                API requests. If ``None``, then default info will be used.
+                Generally, you only need to set this if you're developing
+                your own client library.
+
+        Raises:
+            google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport
+                creation failed for any reason.
+        """
+        self._client = MetadataServiceClient(
+            credentials=credentials,
+            transport=transport,
+            client_options=client_options,
+            client_info=client_info,
+
+        )
+
+    async def create_entity(self,
+            request: Optional[Union[metadata_.CreateEntityRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            entity: Optional[metadata_.Entity] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> metadata_.Entity:
+        r"""Create a metadata entity.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_create_entity():
+                # Create a client
+                client = dataplex_v1.MetadataServiceAsyncClient()
+
+                # Initialize request argument(s)
+                entity = dataplex_v1.Entity()
+                entity.id = "id_value"
+                entity.type_ = "FILESET"
+                entity.asset = "asset_value"
+                entity.data_path = "data_path_value"
+                entity.system = "BIGQUERY"
+                entity.format_.mime_type = "mime_type_value"
+                entity.schema.user_managed = True
+
+                request = dataplex_v1.CreateEntityRequest(
+                    parent="parent_value",
+                    entity=entity,
+                )
+
+                # Make the request
+                response = await client.create_entity(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.CreateEntityRequest, dict]]):
+                The request object. Create a metadata entity request.
+            parent (:class:`str`):
+                Required. The resource name of the parent zone:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}``.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            entity (:class:`google.cloud.dataplex_v1.types.Entity`):
+                Required. Entity resource.
+                This corresponds to the ``entity`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.Entity:
+                Represents tables and fileset
+                metadata contained within a zone.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent, entity])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, metadata_.CreateEntityRequest):
+            request = metadata_.CreateEntityRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if parent is not None:
+            request.parent = parent
+        if entity is not None:
+            request.entity = entity
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.create_entity]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def update_entity(self,
+            request: Optional[Union[metadata_.UpdateEntityRequest, dict]] = None,
+            *,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> metadata_.Entity:
+        r"""Update a metadata entity. Only supports full resource
+        update.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_update_entity():
+                # Create a client
+                client = dataplex_v1.MetadataServiceAsyncClient()
+
+                # Initialize request argument(s)
+                entity = dataplex_v1.Entity()
+                entity.id = "id_value"
+                entity.type_ = "FILESET"
+                entity.asset = "asset_value"
+                entity.data_path = "data_path_value"
+                entity.system = "BIGQUERY"
+                entity.format_.mime_type = "mime_type_value"
+                entity.schema.user_managed = True
+
+                request = dataplex_v1.UpdateEntityRequest(
+                    entity=entity,
+                )
+
+                # Make the request
+                response = await client.update_entity(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.UpdateEntityRequest, dict]]):
+                The request object. Update a metadata entity request.
+                The exiting entity will be fully
+                replaced by the entity in the request.
+                The entity ID is mutable. To modify the
+                ID, use the current entity ID in the
+                request URL and specify the new ID in
+                the request body.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.Entity:
+                Represents tables and fileset
+                metadata contained within a zone.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, metadata_.UpdateEntityRequest):
+            request = metadata_.UpdateEntityRequest(request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.update_entity]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("entity.name", request.entity.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def delete_entity(self,
+            request: Optional[Union[metadata_.DeleteEntityRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> None:
+        r"""Delete a metadata entity.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_delete_entity():
+                # Create a client
+                client = dataplex_v1.MetadataServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.DeleteEntityRequest(
+                    name="name_value",
+                    etag="etag_value",
+                )
+
+                # Make the request
+                await client.delete_entity(request=request)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.DeleteEntityRequest, dict]]):
+                The request object. Delete a metadata entity request.
+            name (:class:`str`):
+                Required. The resource name of the entity:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/entities/{entity_id}``.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, metadata_.DeleteEntityRequest):
+            request = metadata_.DeleteEntityRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if name is not None:
+            request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.delete_entity]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+    async def get_entity(self,
+            request: Optional[Union[metadata_.GetEntityRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> metadata_.Entity:
+        r"""Get a metadata entity.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_get_entity():
+                # Create a client
+                client = dataplex_v1.MetadataServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.GetEntityRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                response = await client.get_entity(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.GetEntityRequest, dict]]):
+                The request object. Get metadata entity request.
+            name (:class:`str`):
+                Required. The resource name of the entity:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/entities/{entity_id}.``
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.Entity:
+                Represents tables and fileset
+                metadata contained within a zone.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, metadata_.GetEntityRequest):
+            request = metadata_.GetEntityRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if name is not None:
+            request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.get_entity]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def list_entities(self,
+            request: Optional[Union[metadata_.ListEntitiesRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> pagers.ListEntitiesAsyncPager:
+        r"""List metadata entities in a zone.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_list_entities():
+                # Create a client
+                client = dataplex_v1.MetadataServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.ListEntitiesRequest(
+                    parent="parent_value",
+                    view="FILESETS",
+                )
+
+                # Make the request
+                page_result = client.list_entities(request=request)
+
+                # Handle the response
+                async for response in page_result:
+                    print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.ListEntitiesRequest, dict]]):
+                The request object. List metadata entities request.
+            parent (:class:`str`):
+                Required. The resource name of the parent zone:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}``.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.services.metadata_service.pagers.ListEntitiesAsyncPager:
+                List metadata entities response.
+
+                Iterating over this object will yield
+                results and resolve additional pages
+                automatically.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, metadata_.ListEntitiesRequest):
+            request = metadata_.ListEntitiesRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if parent is not None:
+            request.parent = parent
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.list_entities]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # This method is paged; wrap the response in a pager, which provides
+        # an `__aiter__` convenience method.
+        response = pagers.ListEntitiesAsyncPager(
+            method=rpc,
+            request=request,
+            response=response,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def create_partition(self,
+            request: Optional[Union[metadata_.CreatePartitionRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            partition: Optional[metadata_.Partition] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> metadata_.Partition:
+        r"""Create a metadata partition.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_create_partition():
+                # Create a client
+                client = dataplex_v1.MetadataServiceAsyncClient()
+
+                # Initialize request argument(s)
+                partition = dataplex_v1.Partition()
+                partition.values = ['values_value1', 'values_value2']
+                partition.location = "location_value"
+
+                request = dataplex_v1.CreatePartitionRequest(
+                    parent="parent_value",
+                    partition=partition,
+                )
+
+                # Make the request
+                response = await client.create_partition(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.CreatePartitionRequest, dict]]):
+                The request object. Create metadata partition request.
+            parent (:class:`str`):
+                Required. The resource name of the parent zone:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/entities/{entity_id}``.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            partition (:class:`google.cloud.dataplex_v1.types.Partition`):
+                Required. Partition resource.
+                This corresponds to the ``partition`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.Partition:
+                Represents partition metadata
+                contained within entity instances.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent, partition])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, metadata_.CreatePartitionRequest):
+            request = metadata_.CreatePartitionRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if parent is not None:
+            request.parent = parent
+        if partition is not None:
+            request.partition = partition
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.create_partition]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def delete_partition(self,
+            request: Optional[Union[metadata_.DeletePartitionRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> None:
+        r"""Delete a metadata partition.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_delete_partition():
+                # Create a client
+                client = dataplex_v1.MetadataServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.DeletePartitionRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                await client.delete_partition(request=request)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.DeletePartitionRequest, dict]]):
+                The request object. Delete metadata partition request.
+            name (:class:`str`):
+                Required. The resource name of the partition. format:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/entities/{entity_id}/partitions/{partition_value_path}``.
+                The {partition_value_path} segment consists of an
+                ordered sequence of partition values separated by "/".
+                All values must be provided.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, metadata_.DeletePartitionRequest):
+            request = metadata_.DeletePartitionRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if name is not None:
+            request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.delete_partition]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+    async def get_partition(self,
+            request: Optional[Union[metadata_.GetPartitionRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> metadata_.Partition:
+        r"""Get a metadata partition of an entity.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_get_partition():
+                # Create a client
+                client = dataplex_v1.MetadataServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.GetPartitionRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                response = await client.get_partition(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.GetPartitionRequest, dict]]):
+                The request object. Get metadata partition request.
+            name (:class:`str`):
+                Required. The resource name of the partition:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/entities/{entity_id}/partitions/{partition_value_path}``.
+                The {partition_value_path} segment consists of an
+                ordered sequence of partition values separated by "/".
+                All values must be provided.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.Partition:
+                Represents partition metadata
+                contained within entity instances.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, metadata_.GetPartitionRequest):
+            request = metadata_.GetPartitionRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if name is not None:
+            request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.get_partition]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def list_partitions(self,
+            request: Optional[Union[metadata_.ListPartitionsRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> pagers.ListPartitionsAsyncPager:
+        r"""List metadata partitions of an entity.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_list_partitions():
+                # Create a client
+                client = dataplex_v1.MetadataServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.ListPartitionsRequest(
+                    parent="parent_value",
+                )
+
+                # Make the request
+                page_result = client.list_partitions(request=request)
+
+                # Handle the response
+                async for response in page_result:
+                    print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.ListPartitionsRequest, dict]]):
+                The request object. List metadata partitions request.
+            parent (:class:`str`):
+                Required. The resource name of the parent entity:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/entities/{entity_id}``.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.services.metadata_service.pagers.ListPartitionsAsyncPager:
+                List metadata partitions response.
+
+                Iterating over this object will yield
+                results and resolve additional pages
+                automatically.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent])
+        if request is not None and has_flattened_params:
+            raise ValueError("If the `request` argument is set, then none of "
+                             "the individual field arguments should be set.")
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, metadata_.ListPartitionsRequest):
+            request = metadata_.ListPartitionsRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if parent is not None:
+            request.parent = parent
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[self._client._transport.list_partitions]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # This method is paged; wrap the response in a pager, which provides
+        # an `__aiter__` convenience method.
+        response = pagers.ListPartitionsAsyncPager(
+            method=rpc,
+            request=request,
+            response=response,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def list_operations(
+        self,
+        request: Optional[operations_pb2.ListOperationsRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> operations_pb2.ListOperationsResponse:
+        r"""Lists operations that match the specified filter in the request.
+
+        Args:
+            request (:class:`~.operations_pb2.ListOperationsRequest`):
+                The request object. Request message for
+                `ListOperations` method.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.operations_pb2.ListOperationsResponse:
+                Response message for ``ListOperations`` method.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.ListOperationsRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self.transport._wrapped_methods[self._client._transport.list_operations]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request, retry=retry, timeout=timeout, metadata=metadata,)
+
+        # Done; return the response.
+        return response
+
+    async def get_operation(
+        self,
+        request: Optional[operations_pb2.GetOperationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> operations_pb2.Operation:
+        r"""Gets the latest state of a long-running operation.
+
+        Args:
+            request (:class:`~.operations_pb2.GetOperationRequest`):
+                The request object. Request message for
+                `GetOperation` method.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.operations_pb2.Operation:
+                An ``Operation`` object.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.GetOperationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self.transport._wrapped_methods[self._client._transport.get_operation]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request, retry=retry, timeout=timeout, metadata=metadata,)
+
+        # Done; return the response.
+        return response
+
+    async def delete_operation(
+        self,
+        request: Optional[operations_pb2.DeleteOperationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> None:
+        r"""Deletes a long-running operation.
+
+        This method indicates that the client is no longer interested
+        in the operation result. It does not cancel the operation.
+        If the server doesn't support this method, it returns
+        `google.rpc.Code.UNIMPLEMENTED`.
+
+        Args:
+            request (:class:`~.operations_pb2.DeleteOperationRequest`):
+                The request object. Request message for
+                `DeleteOperation` method.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            None
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.DeleteOperationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self.transport._wrapped_methods[self._client._transport.delete_operation]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        await rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
+
+    async def cancel_operation(
+        self,
+        request: Optional[operations_pb2.CancelOperationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> None:
+        r"""Starts asynchronous cancellation on a long-running operation.
+
+        The server makes a best effort to cancel the operation, but success
+        is not guaranteed.  If the server doesn't support this method, it returns
+        `google.rpc.Code.UNIMPLEMENTED`.
+
+        Args:
+            request (:class:`~.operations_pb2.CancelOperationRequest`):
+                The request object. Request message for
+                `CancelOperation` method.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            None
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.CancelOperationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self.transport._wrapped_methods[self._client._transport.cancel_operation]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        await rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
+
+    async def get_location(
+        self,
+        request: Optional[locations_pb2.GetLocationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> locations_pb2.Location:
+        r"""Gets information about a location.
+
+        Args:
+            request (:class:`~.location_pb2.GetLocationRequest`):
+                The request object. Request message for
+                `GetLocation` method.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
+                 if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.location_pb2.Location:
+                Location object.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = locations_pb2.GetLocationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self.transport._wrapped_methods[self._client._transport.get_location]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request, retry=retry, timeout=timeout, metadata=metadata,)
+
+        # Done; return the response.
+        return response
+
+    async def list_locations(
+        self,
+        request: Optional[locations_pb2.ListLocationsRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> locations_pb2.ListLocationsResponse:
+        r"""Lists information about the supported locations for this service.
+
+        Args:
+            request (:class:`~.location_pb2.ListLocationsRequest`):
+                The request object. Request message for
+                `ListLocations` method.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
+                 if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.location_pb2.ListLocationsResponse:
+                Response message for ``ListLocations`` method.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = locations_pb2.ListLocationsRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self.transport._wrapped_methods[self._client._transport.list_locations]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request, retry=retry, timeout=timeout, metadata=metadata,)
+
+        # Done; return the response.
+        return response
+
+    async def __aenter__(self) -> "MetadataServiceAsyncClient":
+        return self
+
+    async def __aexit__(self, exc_type, exc, tb):
+        await self.transport.close()
+
+DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(gapic_version=package_version.__version__)
+
+
+__all__ = (
+    "MetadataServiceAsyncClient",
+)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/metadata_service/client.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/metadata_service/client.py
new file mode 100644
index 000000000000..59ba45b296de
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/metadata_service/client.py
@@ -0,0 +1,1840 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from collections import OrderedDict
+import os
+import re
+from typing import Dict, Callable, Mapping, MutableMapping, MutableSequence, Optional, Sequence, Tuple, Type, Union, cast
+import warnings
+
+from google.cloud.dataplex_v1 import gapic_version as package_version
+
+from google.api_core import client_options as client_options_lib
+from google.api_core import exceptions as core_exceptions
+from google.api_core import gapic_v1
+from google.api_core import retry as retries
+from google.auth import credentials as ga_credentials             # type: ignore
+from google.auth.transport import mtls                            # type: ignore
+from google.auth.transport.grpc import SslCredentials             # type: ignore
+from google.auth.exceptions import MutualTLSChannelError          # type: ignore
+from google.oauth2 import service_account                         # type: ignore
+
+try:
+    OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None]
+except AttributeError:  # pragma: NO COVER
+    OptionalRetry = Union[retries.Retry, object, None]  # type: ignore
+
+from google.cloud.dataplex_v1.services.metadata_service import pagers
+from google.cloud.dataplex_v1.types import metadata_
+from google.cloud.location import locations_pb2 # type: ignore
+from google.iam.v1 import iam_policy_pb2  # type: ignore
+from google.iam.v1 import policy_pb2  # type: ignore
+from google.longrunning import operations_pb2 # type: ignore
+from google.protobuf import timestamp_pb2  # type: ignore
+from .transports.base import MetadataServiceTransport, DEFAULT_CLIENT_INFO
+from .transports.grpc import MetadataServiceGrpcTransport
+from .transports.grpc_asyncio import MetadataServiceGrpcAsyncIOTransport
+
+
+class MetadataServiceClientMeta(type):
+    """Metaclass for the MetadataService client.
+
+    This provides class-level methods for building and retrieving
+    support objects (e.g. transport) without polluting the client instance
+    objects.
+    """
+    _transport_registry = OrderedDict()  # type: Dict[str, Type[MetadataServiceTransport]]
+    _transport_registry["grpc"] = MetadataServiceGrpcTransport
+    _transport_registry["grpc_asyncio"] = MetadataServiceGrpcAsyncIOTransport
+
+    def get_transport_class(cls,
+            label: Optional[str] = None,
+        ) -> Type[MetadataServiceTransport]:
+        """Returns an appropriate transport class.
+
+        Args:
+            label: The name of the desired transport. If none is
+                provided, then the first transport in the registry is used.
+
+        Returns:
+            The transport class to use.
+        """
+        # If a specific transport is requested, return that one.
+        if label:
+            return cls._transport_registry[label]
+
+        # No transport is requested; return the default (that is, the first one
+        # in the dictionary).
+        return next(iter(cls._transport_registry.values()))
+
+
+class MetadataServiceClient(metaclass=MetadataServiceClientMeta):
+    """Metadata service manages metadata resources such as tables,
+    filesets and partitions.
+    """
+
+    @staticmethod
+    def _get_default_mtls_endpoint(api_endpoint):
+        """Converts api endpoint to mTLS endpoint.
+
+        Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to
+        "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively.
+        Args:
+            api_endpoint (Optional[str]): the api endpoint to convert.
+        Returns:
+            str: converted mTLS api endpoint.
+        """
+        if not api_endpoint:
+            return api_endpoint
+
+        mtls_endpoint_re = re.compile(
+            r"(?P<name>[^.]+)(?P<mtls>\.mtls)?(?P<sandbox>\.sandbox)?(?P<googledomain>\.googleapis\.com)?"
+        )
+
+        m = mtls_endpoint_re.match(api_endpoint)
+        name, mtls, sandbox, googledomain = m.groups()
+        if mtls or not googledomain:
+            return api_endpoint
+
+        if sandbox:
+            return api_endpoint.replace(
+                "sandbox.googleapis.com", "mtls.sandbox.googleapis.com"
+            )
+
+        return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com")
+
+    # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead.
+    DEFAULT_ENDPOINT = "dataplex.googleapis.com"
+    DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__(  # type: ignore
+        DEFAULT_ENDPOINT
+    )
+
+    _DEFAULT_ENDPOINT_TEMPLATE = "dataplex.{UNIVERSE_DOMAIN}"
+    _DEFAULT_UNIVERSE = "googleapis.com"
+
+    @classmethod
+    def from_service_account_info(cls, info: dict, *args, **kwargs):
+        """Creates an instance of this client using the provided credentials
+            info.
+
+        Args:
+            info (dict): The service account private key info.
+            args: Additional arguments to pass to the constructor.
+            kwargs: Additional arguments to pass to the constructor.
+
+        Returns:
+            MetadataServiceClient: The constructed client.
+        """
+        credentials = service_account.Credentials.from_service_account_info(info)
+        kwargs["credentials"] = credentials
+        return cls(*args, **kwargs)
+
+    @classmethod
+    def from_service_account_file(cls, filename: str, *args, **kwargs):
+        """Creates an instance of this client using the provided credentials
+            file.
+
+        Args:
+            filename (str): The path to the service account private key json
+                file.
+            args: Additional arguments to pass to the constructor.
+            kwargs: Additional arguments to pass to the constructor.
+
+        Returns:
+            MetadataServiceClient: The constructed client.
+        """
+        credentials = service_account.Credentials.from_service_account_file(
+            filename)
+        kwargs["credentials"] = credentials
+        return cls(*args, **kwargs)
+
+    from_service_account_json = from_service_account_file
+
+    @property
+    def transport(self) -> MetadataServiceTransport:
+        """Returns the transport used by the client instance.
+
+        Returns:
+            MetadataServiceTransport: The transport used by the client
+                instance.
+        """
+        return self._transport
+
+    @staticmethod
+    def entity_path(project: str,location: str,lake: str,zone: str,entity: str,) -> str:
+        """Returns a fully-qualified entity string."""
+        return "projects/{project}/locations/{location}/lakes/{lake}/zones/{zone}/entities/{entity}".format(project=project, location=location, lake=lake, zone=zone, entity=entity, )
+
+    @staticmethod
+    def parse_entity_path(path: str) -> Dict[str,str]:
+        """Parses a entity path into its component segments."""
+        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/lakes/(?P<lake>.+?)/zones/(?P<zone>.+?)/entities/(?P<entity>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @staticmethod
+    def partition_path(project: str,location: str,lake: str,zone: str,entity: str,partition: str,) -> str:
+        """Returns a fully-qualified partition string."""
+        return "projects/{project}/locations/{location}/lakes/{lake}/zones/{zone}/entities/{entity}/partitions/{partition}".format(project=project, location=location, lake=lake, zone=zone, entity=entity, partition=partition, )
+
+    @staticmethod
+    def parse_partition_path(path: str) -> Dict[str,str]:
+        """Parses a partition path into its component segments."""
+        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/lakes/(?P<lake>.+?)/zones/(?P<zone>.+?)/entities/(?P<entity>.+?)/partitions/(?P<partition>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @staticmethod
+    def zone_path(project: str,location: str,lake: str,zone: str,) -> str:
+        """Returns a fully-qualified zone string."""
+        return "projects/{project}/locations/{location}/lakes/{lake}/zones/{zone}".format(project=project, location=location, lake=lake, zone=zone, )
+
+    @staticmethod
+    def parse_zone_path(path: str) -> Dict[str,str]:
+        """Parses a zone path into its component segments."""
+        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/lakes/(?P<lake>.+?)/zones/(?P<zone>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @staticmethod
+    def common_billing_account_path(billing_account: str, ) -> str:
+        """Returns a fully-qualified billing_account string."""
+        return "billingAccounts/{billing_account}".format(billing_account=billing_account, )
+
+    @staticmethod
+    def parse_common_billing_account_path(path: str) -> Dict[str,str]:
+        """Parse a billing_account path into its component segments."""
+        m = re.match(r"^billingAccounts/(?P<billing_account>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @staticmethod
+    def common_folder_path(folder: str, ) -> str:
+        """Returns a fully-qualified folder string."""
+        return "folders/{folder}".format(folder=folder, )
+
+    @staticmethod
+    def parse_common_folder_path(path: str) -> Dict[str,str]:
+        """Parse a folder path into its component segments."""
+        m = re.match(r"^folders/(?P<folder>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @staticmethod
+    def common_organization_path(organization: str, ) -> str:
+        """Returns a fully-qualified organization string."""
+        return "organizations/{organization}".format(organization=organization, )
+
+    @staticmethod
+    def parse_common_organization_path(path: str) -> Dict[str,str]:
+        """Parse a organization path into its component segments."""
+        m = re.match(r"^organizations/(?P<organization>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @staticmethod
+    def common_project_path(project: str, ) -> str:
+        """Returns a fully-qualified project string."""
+        return "projects/{project}".format(project=project, )
+
+    @staticmethod
+    def parse_common_project_path(path: str) -> Dict[str,str]:
+        """Parse a project path into its component segments."""
+        m = re.match(r"^projects/(?P<project>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @staticmethod
+    def common_location_path(project: str, location: str, ) -> str:
+        """Returns a fully-qualified location string."""
+        return "projects/{project}/locations/{location}".format(project=project, location=location, )
+
+    @staticmethod
+    def parse_common_location_path(path: str) -> Dict[str,str]:
+        """Parse a location path into its component segments."""
+        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @classmethod
+    def get_mtls_endpoint_and_cert_source(cls, client_options: Optional[client_options_lib.ClientOptions] = None):
+        """Deprecated. Return the API endpoint and client cert source for mutual TLS.
+
+        The client cert source is determined in the following order:
+        (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the
+        client cert source is None.
+        (2) if `client_options.client_cert_source` is provided, use the provided one; if the
+        default client cert source exists, use the default one; otherwise the client cert
+        source is None.
+
+        The API endpoint is determined in the following order:
+        (1) if `client_options.api_endpoint` if provided, use the provided one.
+        (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the
+        default mTLS endpoint; if the environment variable is "never", use the default API
+        endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise
+        use the default API endpoint.
+
+        More details can be found at https://google.aip.dev/auth/4114.
+
+        Args:
+            client_options (google.api_core.client_options.ClientOptions): Custom options for the
+                client. Only the `api_endpoint` and `client_cert_source` properties may be used
+                in this method.
+
+        Returns:
+            Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the
+                client cert source to use.
+
+        Raises:
+            google.auth.exceptions.MutualTLSChannelError: If any errors happen.
+        """
+
+        warnings.warn("get_mtls_endpoint_and_cert_source is deprecated. Use the api_endpoint property instead.",
+            DeprecationWarning)
+        if client_options is None:
+            client_options = client_options_lib.ClientOptions()
+        use_client_cert = os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false")
+        use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto")
+        if use_client_cert not in ("true", "false"):
+            raise ValueError("Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`")
+        if use_mtls_endpoint not in ("auto", "never", "always"):
+            raise MutualTLSChannelError("Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`")
+
+        # Figure out the client cert source to use.
+        client_cert_source = None
+        if use_client_cert == "true":
+            if client_options.client_cert_source:
+                client_cert_source = client_options.client_cert_source
+            elif mtls.has_default_client_cert_source():
+                client_cert_source = mtls.default_client_cert_source()
+
+        # Figure out which api endpoint to use.
+        if client_options.api_endpoint is not None:
+            api_endpoint = client_options.api_endpoint
+        elif use_mtls_endpoint == "always" or (use_mtls_endpoint == "auto" and client_cert_source):
+            api_endpoint = cls.DEFAULT_MTLS_ENDPOINT
+        else:
+            api_endpoint = cls.DEFAULT_ENDPOINT
+
+        return api_endpoint, client_cert_source
+
+    @staticmethod
+    def _read_environment_variables():
+        """Returns the environment variables used by the client.
+
+        Returns:
+            Tuple[bool, str, str]: returns the GOOGLE_API_USE_CLIENT_CERTIFICATE,
+            GOOGLE_API_USE_MTLS_ENDPOINT, and GOOGLE_CLOUD_UNIVERSE_DOMAIN environment variables.
+
+        Raises:
+            ValueError: If GOOGLE_API_USE_CLIENT_CERTIFICATE is not
+                any of ["true", "false"].
+            google.auth.exceptions.MutualTLSChannelError: If GOOGLE_API_USE_MTLS_ENDPOINT
+                is not any of ["auto", "never", "always"].
+        """
+        use_client_cert = os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false").lower()
+        use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto").lower()
+        universe_domain_env = os.getenv("GOOGLE_CLOUD_UNIVERSE_DOMAIN")
+        if use_client_cert not in ("true", "false"):
+            raise ValueError("Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`")
+        if use_mtls_endpoint not in ("auto", "never", "always"):
+            raise MutualTLSChannelError("Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`")
+        return use_client_cert == "true", use_mtls_endpoint, universe_domain_env
+
+    @staticmethod
+    def _get_client_cert_source(provided_cert_source, use_cert_flag):
+        """Return the client cert source to be used by the client.
+
+        Args:
+            provided_cert_source (bytes): The client certificate source provided.
+            use_cert_flag (bool): A flag indicating whether to use the client certificate.
+
+        Returns:
+            bytes or None: The client cert source to be used by the client.
+        """
+        client_cert_source = None
+        if use_cert_flag:
+            if provided_cert_source:
+                client_cert_source = provided_cert_source
+            elif mtls.has_default_client_cert_source():
+                client_cert_source = mtls.default_client_cert_source()
+        return client_cert_source
+
+    @staticmethod
+    def _get_api_endpoint(api_override, client_cert_source, universe_domain, use_mtls_endpoint):
+        """Return the API endpoint used by the client.
+
+        Args:
+            api_override (str): The API endpoint override. If specified, this is always
+                the return value of this function and the other arguments are not used.
+            client_cert_source (bytes): The client certificate source used by the client.
+            universe_domain (str): The universe domain used by the client.
+            use_mtls_endpoint (str): How to use the mTLS endpoint, which depends also on the other parameters.
+                Possible values are "always", "auto", or "never".
+
+        Returns:
+            str: The API endpoint to be used by the client.
+        """
+        if api_override is not None:
+            api_endpoint = api_override
+        elif use_mtls_endpoint == "always" or (use_mtls_endpoint == "auto" and client_cert_source):
+            _default_universe = MetadataServiceClient._DEFAULT_UNIVERSE
+            if universe_domain != _default_universe:
+                raise MutualTLSChannelError(f"mTLS is not supported in any universe other than {_default_universe}.")
+            api_endpoint = MetadataServiceClient.DEFAULT_MTLS_ENDPOINT
+        else:
+            api_endpoint = MetadataServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=universe_domain)
+        return api_endpoint
+
+    @staticmethod
+    def _get_universe_domain(client_universe_domain: Optional[str], universe_domain_env: Optional[str]) -> str:
+        """Return the universe domain used by the client.
+
+        Args:
+            client_universe_domain (Optional[str]): The universe domain configured via the client options.
+            universe_domain_env (Optional[str]): The universe domain configured via the "GOOGLE_CLOUD_UNIVERSE_DOMAIN" environment variable.
+
+        Returns:
+            str: The universe domain to be used by the client.
+
+        Raises:
+            ValueError: If the universe domain is an empty string.
+        """
+        universe_domain = MetadataServiceClient._DEFAULT_UNIVERSE
+        if client_universe_domain is not None:
+            universe_domain = client_universe_domain
+        elif universe_domain_env is not None:
+            universe_domain = universe_domain_env
+        if len(universe_domain.strip()) == 0:
+            raise ValueError("Universe Domain cannot be an empty string.")
+        return universe_domain
+
+    def _validate_universe_domain(self):
+        """Validates client's and credentials' universe domains are consistent.
+
+        Returns:
+            bool: True iff the configured universe domain is valid.
+
+        Raises:
+            ValueError: If the configured universe domain is not valid.
+        """
+
+        # NOTE (b/349488459): universe validation is disabled until further notice.
+        return True
+
+    @property
+    def api_endpoint(self):
+        """Return the API endpoint used by the client instance.
+
+        Returns:
+            str: The API endpoint used by the client instance.
+        """
+        return self._api_endpoint
+
+    @property
+    def universe_domain(self) -> str:
+        """Return the universe domain used by the client instance.
+
+        Returns:
+            str: The universe domain used by the client instance.
+        """
+        return self._universe_domain
+
+    def __init__(self, *,
+            credentials: Optional[ga_credentials.Credentials] = None,
+            transport: Optional[Union[str, MetadataServiceTransport, Callable[..., MetadataServiceTransport]]] = None,
+            client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None,
+            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
+            ) -> None:
+        """Instantiates the metadata service client.
+
+        Args:
+            credentials (Optional[google.auth.credentials.Credentials]): The
+                authorization credentials to attach to requests. These
+                credentials identify the application to the service; if none
+                are specified, the client will attempt to ascertain the
+                credentials from the environment.
+            transport (Optional[Union[str,MetadataServiceTransport,Callable[..., MetadataServiceTransport]]]):
+                The transport to use, or a Callable that constructs and returns a new transport.
+                If a Callable is given, it will be called with the same set of initialization
+                arguments as used in the MetadataServiceTransport constructor.
+                If set to None, a transport is chosen automatically.
+            client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]):
+                Custom options for the client.
+
+                1. The ``api_endpoint`` property can be used to override the
+                default endpoint provided by the client when ``transport`` is
+                not explicitly provided. Only if this property is not set and
+                ``transport`` was not explicitly provided, the endpoint is
+                determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment
+                variable, which have one of the following values:
+                "always" (always use the default mTLS endpoint), "never" (always
+                use the default regular endpoint) and "auto" (auto-switch to the
+                default mTLS endpoint if client certificate is present; this is
+                the default value).
+
+                2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable
+                is "true", then the ``client_cert_source`` property can be used
+                to provide a client certificate for mTLS transport. If
+                not provided, the default SSL client certificate will be used if
+                present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not
+                set, no client certificate will be used.
+
+                3. The ``universe_domain`` property can be used to override the
+                default "googleapis.com" universe. Note that the ``api_endpoint``
+                property still takes precedence; and ``universe_domain`` is
+                currently not supported for mTLS.
+
+            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
+                The client info used to send a user-agent string along with
+                API requests. If ``None``, then default info will be used.
+                Generally, you only need to set this if you're developing
+                your own client library.
+
+        Raises:
+            google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport
+                creation failed for any reason.
+        """
+        self._client_options = client_options
+        if isinstance(self._client_options, dict):
+            self._client_options = client_options_lib.from_dict(self._client_options)
+        if self._client_options is None:
+            self._client_options = client_options_lib.ClientOptions()
+        self._client_options = cast(client_options_lib.ClientOptions, self._client_options)
+
+        universe_domain_opt = getattr(self._client_options, 'universe_domain', None)
+
+        self._use_client_cert, self._use_mtls_endpoint, self._universe_domain_env = MetadataServiceClient._read_environment_variables()
+        self._client_cert_source = MetadataServiceClient._get_client_cert_source(self._client_options.client_cert_source, self._use_client_cert)
+        self._universe_domain = MetadataServiceClient._get_universe_domain(universe_domain_opt, self._universe_domain_env)
+        self._api_endpoint = None # updated below, depending on `transport`
+
+        # Initialize the universe domain validation.
+        self._is_universe_domain_valid = False
+
+        api_key_value = getattr(self._client_options, "api_key", None)
+        if api_key_value and credentials:
+            raise ValueError("client_options.api_key and credentials are mutually exclusive")
+
+        # Save or instantiate the transport.
+        # Ordinarily, we provide the transport, but allowing a custom transport
+        # instance provides an extensibility point for unusual situations.
+        transport_provided = isinstance(transport, MetadataServiceTransport)
+        if transport_provided:
+            # transport is a MetadataServiceTransport instance.
+            if credentials or self._client_options.credentials_file or api_key_value:
+                raise ValueError("When providing a transport instance, "
+                                 "provide its credentials directly.")
+            if self._client_options.scopes:
+                raise ValueError(
+                    "When providing a transport instance, provide its scopes "
+                    "directly."
+                )
+            self._transport = cast(MetadataServiceTransport, transport)
+            self._api_endpoint = self._transport.host
+
+        self._api_endpoint = (self._api_endpoint or
+            MetadataServiceClient._get_api_endpoint(
+                self._client_options.api_endpoint,
+                self._client_cert_source,
+                self._universe_domain,
+                self._use_mtls_endpoint))
+
+        if not transport_provided:
+            import google.auth._default  # type: ignore
+
+            if api_key_value and hasattr(google.auth._default, "get_api_key_credentials"):
+                credentials = google.auth._default.get_api_key_credentials(api_key_value)
+
+            transport_init: Union[Type[MetadataServiceTransport], Callable[..., MetadataServiceTransport]] = (
+                MetadataServiceClient.get_transport_class(transport)
+                if isinstance(transport, str) or transport is None
+                else cast(Callable[..., MetadataServiceTransport], transport)
+            )
+            # initialize with the provided callable or the passed in class
+            self._transport = transport_init(
+                credentials=credentials,
+                credentials_file=self._client_options.credentials_file,
+                host=self._api_endpoint,
+                scopes=self._client_options.scopes,
+                client_cert_source_for_mtls=self._client_cert_source,
+                quota_project_id=self._client_options.quota_project_id,
+                client_info=client_info,
+                always_use_jwt_access=True,
+                api_audience=self._client_options.api_audience,
+            )
+
+    def create_entity(self,
+            request: Optional[Union[metadata_.CreateEntityRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            entity: Optional[metadata_.Entity] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> metadata_.Entity:
+        r"""Create a metadata entity.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_create_entity():
+                # Create a client
+                client = dataplex_v1.MetadataServiceClient()
+
+                # Initialize request argument(s)
+                entity = dataplex_v1.Entity()
+                entity.id = "id_value"
+                entity.type_ = "FILESET"
+                entity.asset = "asset_value"
+                entity.data_path = "data_path_value"
+                entity.system = "BIGQUERY"
+                entity.format_.mime_type = "mime_type_value"
+                entity.schema.user_managed = True
+
+                request = dataplex_v1.CreateEntityRequest(
+                    parent="parent_value",
+                    entity=entity,
+                )
+
+                # Make the request
+                response = client.create_entity(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.CreateEntityRequest, dict]):
+                The request object. Create a metadata entity request.
+            parent (str):
+                Required. The resource name of the parent zone:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}``.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            entity (google.cloud.dataplex_v1.types.Entity):
+                Required. Entity resource.
+                This corresponds to the ``entity`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.Entity:
+                Represents tables and fileset
+                metadata contained within a zone.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent, entity])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, metadata_.CreateEntityRequest):
+            request = metadata_.CreateEntityRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if parent is not None:
+                request.parent = parent
+            if entity is not None:
+                request.entity = entity
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.create_entity]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def update_entity(self,
+            request: Optional[Union[metadata_.UpdateEntityRequest, dict]] = None,
+            *,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> metadata_.Entity:
+        r"""Update a metadata entity. Only supports full resource
+        update.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_update_entity():
+                # Create a client
+                client = dataplex_v1.MetadataServiceClient()
+
+                # Initialize request argument(s)
+                entity = dataplex_v1.Entity()
+                entity.id = "id_value"
+                entity.type_ = "FILESET"
+                entity.asset = "asset_value"
+                entity.data_path = "data_path_value"
+                entity.system = "BIGQUERY"
+                entity.format_.mime_type = "mime_type_value"
+                entity.schema.user_managed = True
+
+                request = dataplex_v1.UpdateEntityRequest(
+                    entity=entity,
+                )
+
+                # Make the request
+                response = client.update_entity(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.UpdateEntityRequest, dict]):
+                The request object. Update a metadata entity request.
+                The exiting entity will be fully
+                replaced by the entity in the request.
+                The entity ID is mutable. To modify the
+                ID, use the current entity ID in the
+                request URL and specify the new ID in
+                the request body.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.Entity:
+                Represents tables and fileset
+                metadata contained within a zone.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, metadata_.UpdateEntityRequest):
+            request = metadata_.UpdateEntityRequest(request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.update_entity]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("entity.name", request.entity.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def delete_entity(self,
+            request: Optional[Union[metadata_.DeleteEntityRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> None:
+        r"""Delete a metadata entity.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_delete_entity():
+                # Create a client
+                client = dataplex_v1.MetadataServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.DeleteEntityRequest(
+                    name="name_value",
+                    etag="etag_value",
+                )
+
+                # Make the request
+                client.delete_entity(request=request)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.DeleteEntityRequest, dict]):
+                The request object. Delete a metadata entity request.
+            name (str):
+                Required. The resource name of the entity:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/entities/{entity_id}``.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, metadata_.DeleteEntityRequest):
+            request = metadata_.DeleteEntityRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if name is not None:
+                request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.delete_entity]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+    def get_entity(self,
+            request: Optional[Union[metadata_.GetEntityRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> metadata_.Entity:
+        r"""Get a metadata entity.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_get_entity():
+                # Create a client
+                client = dataplex_v1.MetadataServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.GetEntityRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                response = client.get_entity(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.GetEntityRequest, dict]):
+                The request object. Get metadata entity request.
+            name (str):
+                Required. The resource name of the entity:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/entities/{entity_id}.``
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.Entity:
+                Represents tables and fileset
+                metadata contained within a zone.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, metadata_.GetEntityRequest):
+            request = metadata_.GetEntityRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if name is not None:
+                request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.get_entity]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def list_entities(self,
+            request: Optional[Union[metadata_.ListEntitiesRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> pagers.ListEntitiesPager:
+        r"""List metadata entities in a zone.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_list_entities():
+                # Create a client
+                client = dataplex_v1.MetadataServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.ListEntitiesRequest(
+                    parent="parent_value",
+                    view="FILESETS",
+                )
+
+                # Make the request
+                page_result = client.list_entities(request=request)
+
+                # Handle the response
+                for response in page_result:
+                    print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.ListEntitiesRequest, dict]):
+                The request object. List metadata entities request.
+            parent (str):
+                Required. The resource name of the parent zone:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}``.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.services.metadata_service.pagers.ListEntitiesPager:
+                List metadata entities response.
+
+                Iterating over this object will yield
+                results and resolve additional pages
+                automatically.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, metadata_.ListEntitiesRequest):
+            request = metadata_.ListEntitiesRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if parent is not None:
+                request.parent = parent
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.list_entities]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # This method is paged; wrap the response in a pager, which provides
+        # an `__iter__` convenience method.
+        response = pagers.ListEntitiesPager(
+            method=rpc,
+            request=request,
+            response=response,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def create_partition(self,
+            request: Optional[Union[metadata_.CreatePartitionRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            partition: Optional[metadata_.Partition] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> metadata_.Partition:
+        r"""Create a metadata partition.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_create_partition():
+                # Create a client
+                client = dataplex_v1.MetadataServiceClient()
+
+                # Initialize request argument(s)
+                partition = dataplex_v1.Partition()
+                partition.values = ['values_value1', 'values_value2']
+                partition.location = "location_value"
+
+                request = dataplex_v1.CreatePartitionRequest(
+                    parent="parent_value",
+                    partition=partition,
+                )
+
+                # Make the request
+                response = client.create_partition(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.CreatePartitionRequest, dict]):
+                The request object. Create metadata partition request.
+            parent (str):
+                Required. The resource name of the parent zone:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/entities/{entity_id}``.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            partition (google.cloud.dataplex_v1.types.Partition):
+                Required. Partition resource.
+                This corresponds to the ``partition`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.Partition:
+                Represents partition metadata
+                contained within entity instances.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent, partition])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, metadata_.CreatePartitionRequest):
+            request = metadata_.CreatePartitionRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if parent is not None:
+                request.parent = parent
+            if partition is not None:
+                request.partition = partition
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.create_partition]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def delete_partition(self,
+            request: Optional[Union[metadata_.DeletePartitionRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> None:
+        r"""Delete a metadata partition.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_delete_partition():
+                # Create a client
+                client = dataplex_v1.MetadataServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.DeletePartitionRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                client.delete_partition(request=request)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.DeletePartitionRequest, dict]):
+                The request object. Delete metadata partition request.
+            name (str):
+                Required. The resource name of the partition. format:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/entities/{entity_id}/partitions/{partition_value_path}``.
+                The {partition_value_path} segment consists of an
+                ordered sequence of partition values separated by "/".
+                All values must be provided.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, metadata_.DeletePartitionRequest):
+            request = metadata_.DeletePartitionRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if name is not None:
+                request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.delete_partition]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+    def get_partition(self,
+            request: Optional[Union[metadata_.GetPartitionRequest, dict]] = None,
+            *,
+            name: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> metadata_.Partition:
+        r"""Get a metadata partition of an entity.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_get_partition():
+                # Create a client
+                client = dataplex_v1.MetadataServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.GetPartitionRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                response = client.get_partition(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.GetPartitionRequest, dict]):
+                The request object. Get metadata partition request.
+            name (str):
+                Required. The resource name of the partition:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/entities/{entity_id}/partitions/{partition_value_path}``.
+                The {partition_value_path} segment consists of an
+                ordered sequence of partition values separated by "/".
+                All values must be provided.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.Partition:
+                Represents partition metadata
+                contained within entity instances.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, metadata_.GetPartitionRequest):
+            request = metadata_.GetPartitionRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if name is not None:
+                request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.get_partition]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("name", request.name),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def list_partitions(self,
+            request: Optional[Union[metadata_.ListPartitionsRequest, dict]] = None,
+            *,
+            parent: Optional[str] = None,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = (),
+            ) -> pagers.ListPartitionsPager:
+        r"""List metadata partitions of an entity.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_list_partitions():
+                # Create a client
+                client = dataplex_v1.MetadataServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.ListPartitionsRequest(
+                    parent="parent_value",
+                )
+
+                # Make the request
+                page_result = client.list_partitions(request=request)
+
+                # Handle the response
+                for response in page_result:
+                    print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.ListPartitionsRequest, dict]):
+                The request object. List metadata partitions request.
+            parent (str):
+                Required. The resource name of the parent entity:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/entities/{entity_id}``.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.services.metadata_service.pagers.ListPartitionsPager:
+                List metadata partitions response.
+
+                Iterating over this object will yield
+                results and resolve additional pages
+                automatically.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent])
+        if request is not None and has_flattened_params:
+            raise ValueError('If the `request` argument is set, then none of '
+                             'the individual field arguments should be set.')
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, metadata_.ListPartitionsRequest):
+            request = metadata_.ListPartitionsRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if parent is not None:
+                request.parent = parent
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.list_partitions]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ("parent", request.parent),
+            )),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # This method is paged; wrap the response in a pager, which provides
+        # an `__iter__` convenience method.
+        response = pagers.ListPartitionsPager(
+            method=rpc,
+            request=request,
+            response=response,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def __enter__(self) -> "MetadataServiceClient":
+        return self
+
+    def __exit__(self, type, value, traceback):
+        """Releases underlying transport's resources.
+
+        .. warning::
+            ONLY use as a context manager if the transport is NOT shared
+            with other clients! Exiting the with block will CLOSE the transport
+            and may cause errors in other clients!
+        """
+        self.transport.close()
+
+    def list_operations(
+        self,
+        request: Optional[operations_pb2.ListOperationsRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> operations_pb2.ListOperationsResponse:
+        r"""Lists operations that match the specified filter in the request.
+
+        Args:
+            request (:class:`~.operations_pb2.ListOperationsRequest`):
+                The request object. Request message for
+                `ListOperations` method.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.operations_pb2.ListOperationsResponse:
+                Response message for ``ListOperations`` method.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.ListOperationsRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.list_operations]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request, retry=retry, timeout=timeout, metadata=metadata,)
+
+        # Done; return the response.
+        return response
+
+    def get_operation(
+        self,
+        request: Optional[operations_pb2.GetOperationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> operations_pb2.Operation:
+        r"""Gets the latest state of a long-running operation.
+
+        Args:
+            request (:class:`~.operations_pb2.GetOperationRequest`):
+                The request object. Request message for
+                `GetOperation` method.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.operations_pb2.Operation:
+                An ``Operation`` object.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.GetOperationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.get_operation]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request, retry=retry, timeout=timeout, metadata=metadata,)
+
+        # Done; return the response.
+        return response
+
+    def delete_operation(
+        self,
+        request: Optional[operations_pb2.DeleteOperationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> None:
+        r"""Deletes a long-running operation.
+
+        This method indicates that the client is no longer interested
+        in the operation result. It does not cancel the operation.
+        If the server doesn't support this method, it returns
+        `google.rpc.Code.UNIMPLEMENTED`.
+
+        Args:
+            request (:class:`~.operations_pb2.DeleteOperationRequest`):
+                The request object. Request message for
+                `DeleteOperation` method.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            None
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.DeleteOperationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.delete_operation]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
+
+    def cancel_operation(
+        self,
+        request: Optional[operations_pb2.CancelOperationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> None:
+        r"""Starts asynchronous cancellation on a long-running operation.
+
+        The server makes a best effort to cancel the operation, but success
+        is not guaranteed.  If the server doesn't support this method, it returns
+        `google.rpc.Code.UNIMPLEMENTED`.
+
+        Args:
+            request (:class:`~.operations_pb2.CancelOperationRequest`):
+                The request object. Request message for
+                `CancelOperation` method.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            None
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.CancelOperationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.cancel_operation]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
+
+    def get_location(
+        self,
+        request: Optional[locations_pb2.GetLocationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> locations_pb2.Location:
+        r"""Gets information about a location.
+
+        Args:
+            request (:class:`~.location_pb2.GetLocationRequest`):
+                The request object. Request message for
+                `GetLocation` method.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                 if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.location_pb2.Location:
+                Location object.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = locations_pb2.GetLocationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.get_location]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request, retry=retry, timeout=timeout, metadata=metadata,)
+
+        # Done; return the response.
+        return response
+
+    def list_locations(
+        self,
+        request: Optional[locations_pb2.ListLocationsRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> locations_pb2.ListLocationsResponse:
+        r"""Lists information about the supported locations for this service.
+
+        Args:
+            request (:class:`~.location_pb2.ListLocationsRequest`):
+                The request object. Request message for
+                `ListLocations` method.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                 if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.location_pb2.ListLocationsResponse:
+                Response message for ``ListLocations`` method.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = locations_pb2.ListLocationsRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.list_locations]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request, retry=retry, timeout=timeout, metadata=metadata,)
+
+        # Done; return the response.
+        return response
+
+
+DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(gapic_version=package_version.__version__)
+
+
+__all__ = (
+    "MetadataServiceClient",
+)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/metadata_service/pagers.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/metadata_service/pagers.py
new file mode 100644
index 000000000000..2c3cb84a3aa8
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/metadata_service/pagers.py
@@ -0,0 +1,297 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from google.api_core import gapic_v1
+from google.api_core import retry as retries
+from google.api_core import retry_async as retries_async
+from typing import Any, AsyncIterator, Awaitable, Callable, Sequence, Tuple, Optional, Iterator, Union
+try:
+    OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None]
+    OptionalAsyncRetry = Union[retries_async.AsyncRetry, gapic_v1.method._MethodDefault, None]
+except AttributeError:  # pragma: NO COVER
+    OptionalRetry = Union[retries.Retry, object, None]  # type: ignore
+    OptionalAsyncRetry = Union[retries_async.AsyncRetry, object, None]  # type: ignore
+
+from google.cloud.dataplex_v1.types import metadata_
+
+
+class ListEntitiesPager:
+    """A pager for iterating through ``list_entities`` requests.
+
+    This class thinly wraps an initial
+    :class:`google.cloud.dataplex_v1.types.ListEntitiesResponse` object, and
+    provides an ``__iter__`` method to iterate through its
+    ``entities`` field.
+
+    If there are more pages, the ``__iter__`` method will make additional
+    ``ListEntities`` requests and continue to iterate
+    through the ``entities`` field on the
+    corresponding responses.
+
+    All the usual :class:`google.cloud.dataplex_v1.types.ListEntitiesResponse`
+    attributes are available on the pager. If multiple requests are made, only
+    the most recent response is retained, and thus used for attribute lookup.
+    """
+    def __init__(self,
+            method: Callable[..., metadata_.ListEntitiesResponse],
+            request: metadata_.ListEntitiesRequest,
+            response: metadata_.ListEntitiesResponse,
+            *,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = ()):
+        """Instantiate the pager.
+
+        Args:
+            method (Callable): The method that was originally called, and
+                which instantiated this pager.
+            request (google.cloud.dataplex_v1.types.ListEntitiesRequest):
+                The initial request object.
+            response (google.cloud.dataplex_v1.types.ListEntitiesResponse):
+                The initial response object.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        self._method = method
+        self._request = metadata_.ListEntitiesRequest(request)
+        self._response = response
+        self._retry = retry
+        self._timeout = timeout
+        self._metadata = metadata
+
+    def __getattr__(self, name: str) -> Any:
+        return getattr(self._response, name)
+
+    @property
+    def pages(self) -> Iterator[metadata_.ListEntitiesResponse]:
+        yield self._response
+        while self._response.next_page_token:
+            self._request.page_token = self._response.next_page_token
+            self._response = self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
+            yield self._response
+
+    def __iter__(self) -> Iterator[metadata_.Entity]:
+        for page in self.pages:
+            yield from page.entities
+
+    def __repr__(self) -> str:
+        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
+
+
+class ListEntitiesAsyncPager:
+    """A pager for iterating through ``list_entities`` requests.
+
+    This class thinly wraps an initial
+    :class:`google.cloud.dataplex_v1.types.ListEntitiesResponse` object, and
+    provides an ``__aiter__`` method to iterate through its
+    ``entities`` field.
+
+    If there are more pages, the ``__aiter__`` method will make additional
+    ``ListEntities`` requests and continue to iterate
+    through the ``entities`` field on the
+    corresponding responses.
+
+    All the usual :class:`google.cloud.dataplex_v1.types.ListEntitiesResponse`
+    attributes are available on the pager. If multiple requests are made, only
+    the most recent response is retained, and thus used for attribute lookup.
+    """
+    def __init__(self,
+            method: Callable[..., Awaitable[metadata_.ListEntitiesResponse]],
+            request: metadata_.ListEntitiesRequest,
+            response: metadata_.ListEntitiesResponse,
+            *,
+            retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = ()):
+        """Instantiates the pager.
+
+        Args:
+            method (Callable): The method that was originally called, and
+                which instantiated this pager.
+            request (google.cloud.dataplex_v1.types.ListEntitiesRequest):
+                The initial request object.
+            response (google.cloud.dataplex_v1.types.ListEntitiesResponse):
+                The initial response object.
+            retry (google.api_core.retry.AsyncRetry): Designation of what errors,
+                if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        self._method = method
+        self._request = metadata_.ListEntitiesRequest(request)
+        self._response = response
+        self._retry = retry
+        self._timeout = timeout
+        self._metadata = metadata
+
+    def __getattr__(self, name: str) -> Any:
+        return getattr(self._response, name)
+
+    @property
+    async def pages(self) -> AsyncIterator[metadata_.ListEntitiesResponse]:
+        yield self._response
+        while self._response.next_page_token:
+            self._request.page_token = self._response.next_page_token
+            self._response = await self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
+            yield self._response
+    def __aiter__(self) -> AsyncIterator[metadata_.Entity]:
+        async def async_generator():
+            async for page in self.pages:
+                for response in page.entities:
+                    yield response
+
+        return async_generator()
+
+    def __repr__(self) -> str:
+        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
+
+
+class ListPartitionsPager:
+    """A pager for iterating through ``list_partitions`` requests.
+
+    This class thinly wraps an initial
+    :class:`google.cloud.dataplex_v1.types.ListPartitionsResponse` object, and
+    provides an ``__iter__`` method to iterate through its
+    ``partitions`` field.
+
+    If there are more pages, the ``__iter__`` method will make additional
+    ``ListPartitions`` requests and continue to iterate
+    through the ``partitions`` field on the
+    corresponding responses.
+
+    All the usual :class:`google.cloud.dataplex_v1.types.ListPartitionsResponse`
+    attributes are available on the pager. If multiple requests are made, only
+    the most recent response is retained, and thus used for attribute lookup.
+    """
+    def __init__(self,
+            method: Callable[..., metadata_.ListPartitionsResponse],
+            request: metadata_.ListPartitionsRequest,
+            response: metadata_.ListPartitionsResponse,
+            *,
+            retry: OptionalRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = ()):
+        """Instantiate the pager.
+
+        Args:
+            method (Callable): The method that was originally called, and
+                which instantiated this pager.
+            request (google.cloud.dataplex_v1.types.ListPartitionsRequest):
+                The initial request object.
+            response (google.cloud.dataplex_v1.types.ListPartitionsResponse):
+                The initial response object.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        self._method = method
+        self._request = metadata_.ListPartitionsRequest(request)
+        self._response = response
+        self._retry = retry
+        self._timeout = timeout
+        self._metadata = metadata
+
+    def __getattr__(self, name: str) -> Any:
+        return getattr(self._response, name)
+
+    @property
+    def pages(self) -> Iterator[metadata_.ListPartitionsResponse]:
+        yield self._response
+        while self._response.next_page_token:
+            self._request.page_token = self._response.next_page_token
+            self._response = self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
+            yield self._response
+
+    def __iter__(self) -> Iterator[metadata_.Partition]:
+        for page in self.pages:
+            yield from page.partitions
+
+    def __repr__(self) -> str:
+        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
+
+
+class ListPartitionsAsyncPager:
+    """A pager for iterating through ``list_partitions`` requests.
+
+    This class thinly wraps an initial
+    :class:`google.cloud.dataplex_v1.types.ListPartitionsResponse` object, and
+    provides an ``__aiter__`` method to iterate through its
+    ``partitions`` field.
+
+    If there are more pages, the ``__aiter__`` method will make additional
+    ``ListPartitions`` requests and continue to iterate
+    through the ``partitions`` field on the
+    corresponding responses.
+
+    All the usual :class:`google.cloud.dataplex_v1.types.ListPartitionsResponse`
+    attributes are available on the pager. If multiple requests are made, only
+    the most recent response is retained, and thus used for attribute lookup.
+    """
+    def __init__(self,
+            method: Callable[..., Awaitable[metadata_.ListPartitionsResponse]],
+            request: metadata_.ListPartitionsRequest,
+            response: metadata_.ListPartitionsResponse,
+            *,
+            retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT,
+            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+            metadata: Sequence[Tuple[str, str]] = ()):
+        """Instantiates the pager.
+
+        Args:
+            method (Callable): The method that was originally called, and
+                which instantiated this pager.
+            request (google.cloud.dataplex_v1.types.ListPartitionsRequest):
+                The initial request object.
+            response (google.cloud.dataplex_v1.types.ListPartitionsResponse):
+                The initial response object.
+            retry (google.api_core.retry.AsyncRetry): Designation of what errors,
+                if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        self._method = method
+        self._request = metadata_.ListPartitionsRequest(request)
+        self._response = response
+        self._retry = retry
+        self._timeout = timeout
+        self._metadata = metadata
+
+    def __getattr__(self, name: str) -> Any:
+        return getattr(self._response, name)
+
+    @property
+    async def pages(self) -> AsyncIterator[metadata_.ListPartitionsResponse]:
+        yield self._response
+        while self._response.next_page_token:
+            self._request.page_token = self._response.next_page_token
+            self._response = await self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
+            yield self._response
+    def __aiter__(self) -> AsyncIterator[metadata_.Partition]:
+        async def async_generator():
+            async for page in self.pages:
+                for response in page.partitions:
+                    yield response
+
+        return async_generator()
+
+    def __repr__(self) -> str:
+        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/metadata_service/transports/README.rst b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/metadata_service/transports/README.rst
new file mode 100644
index 000000000000..ff25cadba5cb
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/metadata_service/transports/README.rst
@@ -0,0 +1,9 @@
+
+transport inheritance structure
+_______________________________
+
+`MetadataServiceTransport` is the ABC for all transports.
+- public child `MetadataServiceGrpcTransport` for sync gRPC transport (defined in `grpc.py`).
+- public child `MetadataServiceGrpcAsyncIOTransport` for async gRPC transport (defined in `grpc_asyncio.py`).
+- private child `_BaseMetadataServiceRestTransport` for base REST transport with inner classes `_BaseMETHOD` (defined in `rest_base.py`).
+- public child `MetadataServiceRestTransport` for sync REST transport with inner classes `METHOD` derived from the parent's corresponding `_BaseMETHOD` classes (defined in `rest.py`).
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/metadata_service/transports/__init__.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/metadata_service/transports/__init__.py
new file mode 100644
index 000000000000..74054de3d263
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/metadata_service/transports/__init__.py
@@ -0,0 +1,33 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from collections import OrderedDict
+from typing import Dict, Type
+
+from .base import MetadataServiceTransport
+from .grpc import MetadataServiceGrpcTransport
+from .grpc_asyncio import MetadataServiceGrpcAsyncIOTransport
+
+
+# Compile a registry of transports.
+_transport_registry = OrderedDict()  # type: Dict[str, Type[MetadataServiceTransport]]
+_transport_registry['grpc'] = MetadataServiceGrpcTransport
+_transport_registry['grpc_asyncio'] = MetadataServiceGrpcAsyncIOTransport
+
+__all__ = (
+    'MetadataServiceTransport',
+    'MetadataServiceGrpcTransport',
+    'MetadataServiceGrpcAsyncIOTransport',
+)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/metadata_service/transports/base.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/metadata_service/transports/base.py
new file mode 100644
index 000000000000..88a53d1b4543
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/metadata_service/transports/base.py
@@ -0,0 +1,389 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+import abc
+from typing import Awaitable, Callable, Dict, Optional, Sequence, Union
+
+from google.cloud.dataplex_v1 import gapic_version as package_version
+
+import google.auth  # type: ignore
+import google.api_core
+from google.api_core import exceptions as core_exceptions
+from google.api_core import gapic_v1
+from google.api_core import retry as retries
+from google.auth import credentials as ga_credentials  # type: ignore
+from google.oauth2 import service_account # type: ignore
+
+from google.cloud.dataplex_v1.types import metadata_
+from google.cloud.location import locations_pb2 # type: ignore
+from google.iam.v1 import iam_policy_pb2  # type: ignore
+from google.iam.v1 import policy_pb2  # type: ignore
+from google.longrunning import operations_pb2 # type: ignore
+from google.protobuf import empty_pb2  # type: ignore
+
+DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(gapic_version=package_version.__version__)
+
+
+class MetadataServiceTransport(abc.ABC):
+    """Abstract transport class for MetadataService."""
+
+    AUTH_SCOPES = (
+        'https://www.googleapis.com/auth/cloud-platform',
+    )
+
+    DEFAULT_HOST: str = 'dataplex.googleapis.com'
+    def __init__(
+            self, *,
+            host: str = DEFAULT_HOST,
+            credentials: Optional[ga_credentials.Credentials] = None,
+            credentials_file: Optional[str] = None,
+            scopes: Optional[Sequence[str]] = None,
+            quota_project_id: Optional[str] = None,
+            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
+            always_use_jwt_access: Optional[bool] = False,
+            api_audience: Optional[str] = None,
+            **kwargs,
+            ) -> None:
+        """Instantiate the transport.
+
+        Args:
+            host (Optional[str]):
+                 The hostname to connect to (default: 'dataplex.googleapis.com').
+            credentials (Optional[google.auth.credentials.Credentials]): The
+                authorization credentials to attach to requests. These
+                credentials identify the application to the service; if none
+                are specified, the client will attempt to ascertain the
+                credentials from the environment.
+            credentials_file (Optional[str]): A file with credentials that can
+                be loaded with :func:`google.auth.load_credentials_from_file`.
+                This argument is mutually exclusive with credentials.
+            scopes (Optional[Sequence[str]]): A list of scopes.
+            quota_project_id (Optional[str]): An optional project to use for billing
+                and quota.
+            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
+                The client info used to send a user-agent string along with
+                API requests. If ``None``, then default info will be used.
+                Generally, you only need to set this if you're developing
+                your own client library.
+            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
+                be used for service account credentials.
+        """
+
+        scopes_kwargs = {"scopes": scopes, "default_scopes": self.AUTH_SCOPES}
+
+        # Save the scopes.
+        self._scopes = scopes
+        if not hasattr(self, "_ignore_credentials"):
+            self._ignore_credentials: bool = False
+
+        # If no credentials are provided, then determine the appropriate
+        # defaults.
+        if credentials and credentials_file:
+            raise core_exceptions.DuplicateCredentialArgs("'credentials_file' and 'credentials' are mutually exclusive")
+
+        if credentials_file is not None:
+            credentials, _ = google.auth.load_credentials_from_file(
+                                credentials_file,
+                                **scopes_kwargs,
+                                quota_project_id=quota_project_id
+                            )
+        elif credentials is None and not self._ignore_credentials:
+            credentials, _ = google.auth.default(**scopes_kwargs, quota_project_id=quota_project_id)
+            # Don't apply audience if the credentials file passed from user.
+            if hasattr(credentials, "with_gdch_audience"):
+                credentials = credentials.with_gdch_audience(api_audience if api_audience else host)
+
+        # If the credentials are service account credentials, then always try to use self signed JWT.
+        if always_use_jwt_access and isinstance(credentials, service_account.Credentials) and hasattr(service_account.Credentials, "with_always_use_jwt_access"):
+            credentials = credentials.with_always_use_jwt_access(True)
+
+        # Save the credentials.
+        self._credentials = credentials
+
+        # Save the hostname. Default to port 443 (HTTPS) if none is specified.
+        if ':' not in host:
+            host += ':443'
+        self._host = host
+
+    @property
+    def host(self):
+        return self._host
+
+    def _prep_wrapped_messages(self, client_info):
+        # Precompute the wrapped methods.
+        self._wrapped_methods = {
+            self.create_entity: gapic_v1.method.wrap_method(
+                self.create_entity,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.update_entity: gapic_v1.method.wrap_method(
+                self.update_entity,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.delete_entity: gapic_v1.method.wrap_method(
+                self.delete_entity,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.get_entity: gapic_v1.method.wrap_method(
+                self.get_entity,
+                default_retry=retries.Retry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.list_entities: gapic_v1.method.wrap_method(
+                self.list_entities,
+                default_retry=retries.Retry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.create_partition: gapic_v1.method.wrap_method(
+                self.create_partition,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.delete_partition: gapic_v1.method.wrap_method(
+                self.delete_partition,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.get_partition: gapic_v1.method.wrap_method(
+                self.get_partition,
+                default_retry=retries.Retry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.list_partitions: gapic_v1.method.wrap_method(
+                self.list_partitions,
+                default_retry=retries.Retry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.get_location: gapic_v1.method.wrap_method(
+                self.get_location,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.list_locations: gapic_v1.method.wrap_method(
+                self.list_locations,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.cancel_operation: gapic_v1.method.wrap_method(
+                self.cancel_operation,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.delete_operation: gapic_v1.method.wrap_method(
+                self.delete_operation,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.get_operation: gapic_v1.method.wrap_method(
+                self.get_operation,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.list_operations: gapic_v1.method.wrap_method(
+                self.list_operations,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+         }
+
+    def close(self):
+        """Closes resources associated with the transport.
+
+       .. warning::
+            Only call this method if the transport is NOT shared
+            with other clients - this may cause errors in other clients!
+        """
+        raise NotImplementedError()
+
+    @property
+    def create_entity(self) -> Callable[
+            [metadata_.CreateEntityRequest],
+            Union[
+                metadata_.Entity,
+                Awaitable[metadata_.Entity]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def update_entity(self) -> Callable[
+            [metadata_.UpdateEntityRequest],
+            Union[
+                metadata_.Entity,
+                Awaitable[metadata_.Entity]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def delete_entity(self) -> Callable[
+            [metadata_.DeleteEntityRequest],
+            Union[
+                empty_pb2.Empty,
+                Awaitable[empty_pb2.Empty]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def get_entity(self) -> Callable[
+            [metadata_.GetEntityRequest],
+            Union[
+                metadata_.Entity,
+                Awaitable[metadata_.Entity]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def list_entities(self) -> Callable[
+            [metadata_.ListEntitiesRequest],
+            Union[
+                metadata_.ListEntitiesResponse,
+                Awaitable[metadata_.ListEntitiesResponse]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def create_partition(self) -> Callable[
+            [metadata_.CreatePartitionRequest],
+            Union[
+                metadata_.Partition,
+                Awaitable[metadata_.Partition]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def delete_partition(self) -> Callable[
+            [metadata_.DeletePartitionRequest],
+            Union[
+                empty_pb2.Empty,
+                Awaitable[empty_pb2.Empty]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def get_partition(self) -> Callable[
+            [metadata_.GetPartitionRequest],
+            Union[
+                metadata_.Partition,
+                Awaitable[metadata_.Partition]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def list_partitions(self) -> Callable[
+            [metadata_.ListPartitionsRequest],
+            Union[
+                metadata_.ListPartitionsResponse,
+                Awaitable[metadata_.ListPartitionsResponse]
+            ]]:
+        raise NotImplementedError()
+
+    @property
+    def list_operations(
+        self,
+    ) -> Callable[
+        [operations_pb2.ListOperationsRequest],
+        Union[operations_pb2.ListOperationsResponse, Awaitable[operations_pb2.ListOperationsResponse]],
+    ]:
+        raise NotImplementedError()
+
+    @property
+    def get_operation(
+        self,
+    ) -> Callable[
+        [operations_pb2.GetOperationRequest],
+        Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]],
+    ]:
+        raise NotImplementedError()
+
+    @property
+    def cancel_operation(
+        self,
+    ) -> Callable[
+        [operations_pb2.CancelOperationRequest],
+        None,
+    ]:
+        raise NotImplementedError()
+
+    @property
+    def delete_operation(
+        self,
+    ) -> Callable[
+        [operations_pb2.DeleteOperationRequest],
+        None,
+    ]:
+        raise NotImplementedError()
+
+    @property
+    def get_location(self,
+    ) -> Callable[
+        [locations_pb2.GetLocationRequest],
+        Union[locations_pb2.Location, Awaitable[locations_pb2.Location]],
+    ]:
+        raise NotImplementedError()
+
+    @property
+    def list_locations(self,
+    ) -> Callable[
+        [locations_pb2.ListLocationsRequest],
+        Union[locations_pb2.ListLocationsResponse, Awaitable[locations_pb2.ListLocationsResponse]],
+    ]:
+        raise NotImplementedError()
+
+    @property
+    def kind(self) -> str:
+        raise NotImplementedError()
+
+
+__all__ = (
+    'MetadataServiceTransport',
+)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/metadata_service/transports/grpc.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/metadata_service/transports/grpc.py
new file mode 100644
index 000000000000..b89c63165152
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/metadata_service/transports/grpc.py
@@ -0,0 +1,593 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+import warnings
+from typing import Callable, Dict, Optional, Sequence, Tuple, Union
+
+from google.api_core import grpc_helpers
+from google.api_core import gapic_v1
+import google.auth                         # type: ignore
+from google.auth import credentials as ga_credentials  # type: ignore
+from google.auth.transport.grpc import SslCredentials  # type: ignore
+
+import grpc  # type: ignore
+
+from google.cloud.dataplex_v1.types import metadata_
+from google.cloud.location import locations_pb2 # type: ignore
+from google.iam.v1 import iam_policy_pb2  # type: ignore
+from google.iam.v1 import policy_pb2  # type: ignore
+from google.longrunning import operations_pb2 # type: ignore
+from google.protobuf import empty_pb2  # type: ignore
+from .base import MetadataServiceTransport, DEFAULT_CLIENT_INFO
+
+
+class MetadataServiceGrpcTransport(MetadataServiceTransport):
+    """gRPC backend transport for MetadataService.
+
+    Metadata service manages metadata resources such as tables,
+    filesets and partitions.
+
+    This class defines the same methods as the primary client, so the
+    primary client can load the underlying transport implementation
+    and call it.
+
+    It sends protocol buffers over the wire using gRPC (which is built on
+    top of HTTP/2); the ``grpcio`` package must be installed.
+    """
+    _stubs: Dict[str, Callable]
+
+    def __init__(self, *,
+            host: str = 'dataplex.googleapis.com',
+            credentials: Optional[ga_credentials.Credentials] = None,
+            credentials_file: Optional[str] = None,
+            scopes: Optional[Sequence[str]] = None,
+            channel: Optional[Union[grpc.Channel, Callable[..., grpc.Channel]]] = None,
+            api_mtls_endpoint: Optional[str] = None,
+            client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
+            ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None,
+            client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
+            quota_project_id: Optional[str] = None,
+            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
+            always_use_jwt_access: Optional[bool] = False,
+            api_audience: Optional[str] = None,
+            ) -> None:
+        """Instantiate the transport.
+
+        Args:
+            host (Optional[str]):
+                 The hostname to connect to (default: 'dataplex.googleapis.com').
+            credentials (Optional[google.auth.credentials.Credentials]): The
+                authorization credentials to attach to requests. These
+                credentials identify the application to the service; if none
+                are specified, the client will attempt to ascertain the
+                credentials from the environment.
+                This argument is ignored if a ``channel`` instance is provided.
+            credentials_file (Optional[str]): A file with credentials that can
+                be loaded with :func:`google.auth.load_credentials_from_file`.
+                This argument is ignored if a ``channel`` instance is provided.
+            scopes (Optional(Sequence[str])): A list of scopes. This argument is
+                ignored if a ``channel`` instance is provided.
+            channel (Optional[Union[grpc.Channel, Callable[..., grpc.Channel]]]):
+                A ``Channel`` instance through which to make calls, or a Callable
+                that constructs and returns one. If set to None, ``self.create_channel``
+                is used to create the channel. If a Callable is given, it will be called
+                with the same arguments as used in ``self.create_channel``.
+            api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint.
+                If provided, it overrides the ``host`` argument and tries to create
+                a mutual TLS channel with client SSL credentials from
+                ``client_cert_source`` or application default SSL credentials.
+            client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]):
+                Deprecated. A callback to provide client SSL certificate bytes and
+                private key bytes, both in PEM format. It is ignored if
+                ``api_mtls_endpoint`` is None.
+            ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials
+                for the grpc channel. It is ignored if a ``channel`` instance is provided.
+            client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]):
+                A callback to provide client certificate bytes and private key bytes,
+                both in PEM format. It is used to configure a mutual TLS channel. It is
+                ignored if a ``channel`` instance or ``ssl_channel_credentials`` is provided.
+            quota_project_id (Optional[str]): An optional project to use for billing
+                and quota.
+            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
+                The client info used to send a user-agent string along with
+                API requests. If ``None``, then default info will be used.
+                Generally, you only need to set this if you're developing
+                your own client library.
+            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
+                be used for service account credentials.
+
+        Raises:
+          google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport
+              creation failed for any reason.
+          google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials``
+              and ``credentials_file`` are passed.
+        """
+        self._grpc_channel = None
+        self._ssl_channel_credentials = ssl_channel_credentials
+        self._stubs: Dict[str, Callable] = {}
+
+        if api_mtls_endpoint:
+            warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning)
+        if client_cert_source:
+            warnings.warn("client_cert_source is deprecated", DeprecationWarning)
+
+        if isinstance(channel, grpc.Channel):
+            # Ignore credentials if a channel was passed.
+            credentials = None
+            self._ignore_credentials = True
+            # If a channel was explicitly provided, set it.
+            self._grpc_channel = channel
+            self._ssl_channel_credentials = None
+
+        else:
+            if api_mtls_endpoint:
+                host = api_mtls_endpoint
+
+                # Create SSL credentials with client_cert_source or application
+                # default SSL credentials.
+                if client_cert_source:
+                    cert, key = client_cert_source()
+                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
+                        certificate_chain=cert, private_key=key
+                    )
+                else:
+                    self._ssl_channel_credentials = SslCredentials().ssl_credentials
+
+            else:
+                if client_cert_source_for_mtls and not ssl_channel_credentials:
+                    cert, key = client_cert_source_for_mtls()
+                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
+                        certificate_chain=cert, private_key=key
+                    )
+
+        # The base transport sets the host, credentials and scopes
+        super().__init__(
+            host=host,
+            credentials=credentials,
+            credentials_file=credentials_file,
+            scopes=scopes,
+            quota_project_id=quota_project_id,
+            client_info=client_info,
+            always_use_jwt_access=always_use_jwt_access,
+            api_audience=api_audience,
+        )
+
+        if not self._grpc_channel:
+            # initialize with the provided callable or the default channel
+            channel_init = channel or type(self).create_channel
+            self._grpc_channel = channel_init(
+                self._host,
+                # use the credentials which are saved
+                credentials=self._credentials,
+                # Set ``credentials_file`` to ``None`` here as
+                # the credentials that we saved earlier should be used.
+                credentials_file=None,
+                scopes=self._scopes,
+                ssl_credentials=self._ssl_channel_credentials,
+                quota_project_id=quota_project_id,
+                options=[
+                    ("grpc.max_send_message_length", -1),
+                    ("grpc.max_receive_message_length", -1),
+                ],
+            )
+
+        # Wrap messages. This must be done after self._grpc_channel exists
+        self._prep_wrapped_messages(client_info)
+
+    @classmethod
+    def create_channel(cls,
+                       host: str = 'dataplex.googleapis.com',
+                       credentials: Optional[ga_credentials.Credentials] = None,
+                       credentials_file: Optional[str] = None,
+                       scopes: Optional[Sequence[str]] = None,
+                       quota_project_id: Optional[str] = None,
+                       **kwargs) -> grpc.Channel:
+        """Create and return a gRPC channel object.
+        Args:
+            host (Optional[str]): The host for the channel to use.
+            credentials (Optional[~.Credentials]): The
+                authorization credentials to attach to requests. These
+                credentials identify this application to the service. If
+                none are specified, the client will attempt to ascertain
+                the credentials from the environment.
+            credentials_file (Optional[str]): A file with credentials that can
+                be loaded with :func:`google.auth.load_credentials_from_file`.
+                This argument is mutually exclusive with credentials.
+            scopes (Optional[Sequence[str]]): A optional list of scopes needed for this
+                service. These are only used when credentials are not specified and
+                are passed to :func:`google.auth.default`.
+            quota_project_id (Optional[str]): An optional project to use for billing
+                and quota.
+            kwargs (Optional[dict]): Keyword arguments, which are passed to the
+                channel creation.
+        Returns:
+            grpc.Channel: A gRPC channel object.
+
+        Raises:
+            google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials``
+              and ``credentials_file`` are passed.
+        """
+
+        return grpc_helpers.create_channel(
+            host,
+            credentials=credentials,
+            credentials_file=credentials_file,
+            quota_project_id=quota_project_id,
+            default_scopes=cls.AUTH_SCOPES,
+            scopes=scopes,
+            default_host=cls.DEFAULT_HOST,
+            **kwargs
+        )
+
+    @property
+    def grpc_channel(self) -> grpc.Channel:
+        """Return the channel designed to connect to this service.
+        """
+        return self._grpc_channel
+
+    @property
+    def create_entity(self) -> Callable[
+            [metadata_.CreateEntityRequest],
+            metadata_.Entity]:
+        r"""Return a callable for the create entity method over gRPC.
+
+        Create a metadata entity.
+
+        Returns:
+            Callable[[~.CreateEntityRequest],
+                    ~.Entity]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'create_entity' not in self._stubs:
+            self._stubs['create_entity'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.MetadataService/CreateEntity',
+                request_serializer=metadata_.CreateEntityRequest.serialize,
+                response_deserializer=metadata_.Entity.deserialize,
+            )
+        return self._stubs['create_entity']
+
+    @property
+    def update_entity(self) -> Callable[
+            [metadata_.UpdateEntityRequest],
+            metadata_.Entity]:
+        r"""Return a callable for the update entity method over gRPC.
+
+        Update a metadata entity. Only supports full resource
+        update.
+
+        Returns:
+            Callable[[~.UpdateEntityRequest],
+                    ~.Entity]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'update_entity' not in self._stubs:
+            self._stubs['update_entity'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.MetadataService/UpdateEntity',
+                request_serializer=metadata_.UpdateEntityRequest.serialize,
+                response_deserializer=metadata_.Entity.deserialize,
+            )
+        return self._stubs['update_entity']
+
+    @property
+    def delete_entity(self) -> Callable[
+            [metadata_.DeleteEntityRequest],
+            empty_pb2.Empty]:
+        r"""Return a callable for the delete entity method over gRPC.
+
+        Delete a metadata entity.
+
+        Returns:
+            Callable[[~.DeleteEntityRequest],
+                    ~.Empty]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'delete_entity' not in self._stubs:
+            self._stubs['delete_entity'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.MetadataService/DeleteEntity',
+                request_serializer=metadata_.DeleteEntityRequest.serialize,
+                response_deserializer=empty_pb2.Empty.FromString,
+            )
+        return self._stubs['delete_entity']
+
+    @property
+    def get_entity(self) -> Callable[
+            [metadata_.GetEntityRequest],
+            metadata_.Entity]:
+        r"""Return a callable for the get entity method over gRPC.
+
+        Get a metadata entity.
+
+        Returns:
+            Callable[[~.GetEntityRequest],
+                    ~.Entity]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'get_entity' not in self._stubs:
+            self._stubs['get_entity'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.MetadataService/GetEntity',
+                request_serializer=metadata_.GetEntityRequest.serialize,
+                response_deserializer=metadata_.Entity.deserialize,
+            )
+        return self._stubs['get_entity']
+
+    @property
+    def list_entities(self) -> Callable[
+            [metadata_.ListEntitiesRequest],
+            metadata_.ListEntitiesResponse]:
+        r"""Return a callable for the list entities method over gRPC.
+
+        List metadata entities in a zone.
+
+        Returns:
+            Callable[[~.ListEntitiesRequest],
+                    ~.ListEntitiesResponse]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'list_entities' not in self._stubs:
+            self._stubs['list_entities'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.MetadataService/ListEntities',
+                request_serializer=metadata_.ListEntitiesRequest.serialize,
+                response_deserializer=metadata_.ListEntitiesResponse.deserialize,
+            )
+        return self._stubs['list_entities']
+
+    @property
+    def create_partition(self) -> Callable[
+            [metadata_.CreatePartitionRequest],
+            metadata_.Partition]:
+        r"""Return a callable for the create partition method over gRPC.
+
+        Create a metadata partition.
+
+        Returns:
+            Callable[[~.CreatePartitionRequest],
+                    ~.Partition]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'create_partition' not in self._stubs:
+            self._stubs['create_partition'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.MetadataService/CreatePartition',
+                request_serializer=metadata_.CreatePartitionRequest.serialize,
+                response_deserializer=metadata_.Partition.deserialize,
+            )
+        return self._stubs['create_partition']
+
+    @property
+    def delete_partition(self) -> Callable[
+            [metadata_.DeletePartitionRequest],
+            empty_pb2.Empty]:
+        r"""Return a callable for the delete partition method over gRPC.
+
+        Delete a metadata partition.
+
+        Returns:
+            Callable[[~.DeletePartitionRequest],
+                    ~.Empty]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'delete_partition' not in self._stubs:
+            self._stubs['delete_partition'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.MetadataService/DeletePartition',
+                request_serializer=metadata_.DeletePartitionRequest.serialize,
+                response_deserializer=empty_pb2.Empty.FromString,
+            )
+        return self._stubs['delete_partition']
+
+    @property
+    def get_partition(self) -> Callable[
+            [metadata_.GetPartitionRequest],
+            metadata_.Partition]:
+        r"""Return a callable for the get partition method over gRPC.
+
+        Get a metadata partition of an entity.
+
+        Returns:
+            Callable[[~.GetPartitionRequest],
+                    ~.Partition]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'get_partition' not in self._stubs:
+            self._stubs['get_partition'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.MetadataService/GetPartition',
+                request_serializer=metadata_.GetPartitionRequest.serialize,
+                response_deserializer=metadata_.Partition.deserialize,
+            )
+        return self._stubs['get_partition']
+
+    @property
+    def list_partitions(self) -> Callable[
+            [metadata_.ListPartitionsRequest],
+            metadata_.ListPartitionsResponse]:
+        r"""Return a callable for the list partitions method over gRPC.
+
+        List metadata partitions of an entity.
+
+        Returns:
+            Callable[[~.ListPartitionsRequest],
+                    ~.ListPartitionsResponse]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'list_partitions' not in self._stubs:
+            self._stubs['list_partitions'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.MetadataService/ListPartitions',
+                request_serializer=metadata_.ListPartitionsRequest.serialize,
+                response_deserializer=metadata_.ListPartitionsResponse.deserialize,
+            )
+        return self._stubs['list_partitions']
+
+    def close(self):
+        self.grpc_channel.close()
+
+    @property
+    def delete_operation(
+        self,
+    ) -> Callable[[operations_pb2.DeleteOperationRequest], None]:
+        r"""Return a callable for the delete_operation method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "delete_operation" not in self._stubs:
+            self._stubs["delete_operation"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/DeleteOperation",
+                request_serializer=operations_pb2.DeleteOperationRequest.SerializeToString,
+                response_deserializer=None,
+            )
+        return self._stubs["delete_operation"]
+
+    @property
+    def cancel_operation(
+        self,
+    ) -> Callable[[operations_pb2.CancelOperationRequest], None]:
+        r"""Return a callable for the cancel_operation method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "cancel_operation" not in self._stubs:
+            self._stubs["cancel_operation"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/CancelOperation",
+                request_serializer=operations_pb2.CancelOperationRequest.SerializeToString,
+                response_deserializer=None,
+            )
+        return self._stubs["cancel_operation"]
+
+    @property
+    def get_operation(
+        self,
+    ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]:
+        r"""Return a callable for the get_operation method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "get_operation" not in self._stubs:
+            self._stubs["get_operation"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/GetOperation",
+                request_serializer=operations_pb2.GetOperationRequest.SerializeToString,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs["get_operation"]
+
+    @property
+    def list_operations(
+        self,
+    ) -> Callable[[operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse]:
+        r"""Return a callable for the list_operations method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "list_operations" not in self._stubs:
+            self._stubs["list_operations"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/ListOperations",
+                request_serializer=operations_pb2.ListOperationsRequest.SerializeToString,
+                response_deserializer=operations_pb2.ListOperationsResponse.FromString,
+            )
+        return self._stubs["list_operations"]
+
+    @property
+    def list_locations(
+        self,
+    ) -> Callable[[locations_pb2.ListLocationsRequest], locations_pb2.ListLocationsResponse]:
+        r"""Return a callable for the list locations method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "list_locations" not in self._stubs:
+            self._stubs["list_locations"] = self.grpc_channel.unary_unary(
+                "/google.cloud.location.Locations/ListLocations",
+                request_serializer=locations_pb2.ListLocationsRequest.SerializeToString,
+                response_deserializer=locations_pb2.ListLocationsResponse.FromString,
+            )
+        return self._stubs["list_locations"]
+
+    @property
+    def get_location(
+        self,
+    ) -> Callable[[locations_pb2.GetLocationRequest], locations_pb2.Location]:
+        r"""Return a callable for the list locations method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "get_location" not in self._stubs:
+            self._stubs["get_location"] = self.grpc_channel.unary_unary(
+                "/google.cloud.location.Locations/GetLocation",
+                request_serializer=locations_pb2.GetLocationRequest.SerializeToString,
+                response_deserializer=locations_pb2.Location.FromString,
+            )
+        return self._stubs["get_location"]
+
+    @property
+    def kind(self) -> str:
+        return "grpc"
+
+
+__all__ = (
+    'MetadataServiceGrpcTransport',
+)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/metadata_service/transports/grpc_asyncio.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/metadata_service/transports/grpc_asyncio.py
new file mode 100644
index 000000000000..188524e825f9
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/metadata_service/transports/grpc_asyncio.py
@@ -0,0 +1,720 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+import inspect
+import warnings
+from typing import Awaitable, Callable, Dict, Optional, Sequence, Tuple, Union
+
+from google.api_core import gapic_v1
+from google.api_core import grpc_helpers_async
+from google.api_core import exceptions as core_exceptions
+from google.api_core import retry_async as retries
+from google.auth import credentials as ga_credentials   # type: ignore
+from google.auth.transport.grpc import SslCredentials  # type: ignore
+
+import grpc                        # type: ignore
+from grpc.experimental import aio  # type: ignore
+
+from google.cloud.dataplex_v1.types import metadata_
+from google.cloud.location import locations_pb2 # type: ignore
+from google.iam.v1 import iam_policy_pb2  # type: ignore
+from google.iam.v1 import policy_pb2  # type: ignore
+from google.longrunning import operations_pb2 # type: ignore
+from google.protobuf import empty_pb2  # type: ignore
+from .base import MetadataServiceTransport, DEFAULT_CLIENT_INFO
+from .grpc import MetadataServiceGrpcTransport
+
+
+class MetadataServiceGrpcAsyncIOTransport(MetadataServiceTransport):
+    """gRPC AsyncIO backend transport for MetadataService.
+
+    Metadata service manages metadata resources such as tables,
+    filesets and partitions.
+
+    This class defines the same methods as the primary client, so the
+    primary client can load the underlying transport implementation
+    and call it.
+
+    It sends protocol buffers over the wire using gRPC (which is built on
+    top of HTTP/2); the ``grpcio`` package must be installed.
+    """
+
+    _grpc_channel: aio.Channel
+    _stubs: Dict[str, Callable] = {}
+
+    @classmethod
+    def create_channel(cls,
+                       host: str = 'dataplex.googleapis.com',
+                       credentials: Optional[ga_credentials.Credentials] = None,
+                       credentials_file: Optional[str] = None,
+                       scopes: Optional[Sequence[str]] = None,
+                       quota_project_id: Optional[str] = None,
+                       **kwargs) -> aio.Channel:
+        """Create and return a gRPC AsyncIO channel object.
+        Args:
+            host (Optional[str]): The host for the channel to use.
+            credentials (Optional[~.Credentials]): The
+                authorization credentials to attach to requests. These
+                credentials identify this application to the service. If
+                none are specified, the client will attempt to ascertain
+                the credentials from the environment.
+            credentials_file (Optional[str]): A file with credentials that can
+                be loaded with :func:`google.auth.load_credentials_from_file`.
+            scopes (Optional[Sequence[str]]): A optional list of scopes needed for this
+                service. These are only used when credentials are not specified and
+                are passed to :func:`google.auth.default`.
+            quota_project_id (Optional[str]): An optional project to use for billing
+                and quota.
+            kwargs (Optional[dict]): Keyword arguments, which are passed to the
+                channel creation.
+        Returns:
+            aio.Channel: A gRPC AsyncIO channel object.
+        """
+
+        return grpc_helpers_async.create_channel(
+            host,
+            credentials=credentials,
+            credentials_file=credentials_file,
+            quota_project_id=quota_project_id,
+            default_scopes=cls.AUTH_SCOPES,
+            scopes=scopes,
+            default_host=cls.DEFAULT_HOST,
+            **kwargs
+        )
+
+    def __init__(self, *,
+            host: str = 'dataplex.googleapis.com',
+            credentials: Optional[ga_credentials.Credentials] = None,
+            credentials_file: Optional[str] = None,
+            scopes: Optional[Sequence[str]] = None,
+            channel: Optional[Union[aio.Channel, Callable[..., aio.Channel]]] = None,
+            api_mtls_endpoint: Optional[str] = None,
+            client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
+            ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None,
+            client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
+            quota_project_id: Optional[str] = None,
+            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
+            always_use_jwt_access: Optional[bool] = False,
+            api_audience: Optional[str] = None,
+            ) -> None:
+        """Instantiate the transport.
+
+        Args:
+            host (Optional[str]):
+                 The hostname to connect to (default: 'dataplex.googleapis.com').
+            credentials (Optional[google.auth.credentials.Credentials]): The
+                authorization credentials to attach to requests. These
+                credentials identify the application to the service; if none
+                are specified, the client will attempt to ascertain the
+                credentials from the environment.
+                This argument is ignored if a ``channel`` instance is provided.
+            credentials_file (Optional[str]): A file with credentials that can
+                be loaded with :func:`google.auth.load_credentials_from_file`.
+                This argument is ignored if a ``channel`` instance is provided.
+            scopes (Optional[Sequence[str]]): A optional list of scopes needed for this
+                service. These are only used when credentials are not specified and
+                are passed to :func:`google.auth.default`.
+            channel (Optional[Union[aio.Channel, Callable[..., aio.Channel]]]):
+                A ``Channel`` instance through which to make calls, or a Callable
+                that constructs and returns one. If set to None, ``self.create_channel``
+                is used to create the channel. If a Callable is given, it will be called
+                with the same arguments as used in ``self.create_channel``.
+            api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint.
+                If provided, it overrides the ``host`` argument and tries to create
+                a mutual TLS channel with client SSL credentials from
+                ``client_cert_source`` or application default SSL credentials.
+            client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]):
+                Deprecated. A callback to provide client SSL certificate bytes and
+                private key bytes, both in PEM format. It is ignored if
+                ``api_mtls_endpoint`` is None.
+            ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials
+                for the grpc channel. It is ignored if a ``channel`` instance is provided.
+            client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]):
+                A callback to provide client certificate bytes and private key bytes,
+                both in PEM format. It is used to configure a mutual TLS channel. It is
+                ignored if a ``channel`` instance or ``ssl_channel_credentials`` is provided.
+            quota_project_id (Optional[str]): An optional project to use for billing
+                and quota.
+            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
+                The client info used to send a user-agent string along with
+                API requests. If ``None``, then default info will be used.
+                Generally, you only need to set this if you're developing
+                your own client library.
+            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
+                be used for service account credentials.
+
+        Raises:
+            google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport
+              creation failed for any reason.
+          google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials``
+              and ``credentials_file`` are passed.
+        """
+        self._grpc_channel = None
+        self._ssl_channel_credentials = ssl_channel_credentials
+        self._stubs: Dict[str, Callable] = {}
+
+        if api_mtls_endpoint:
+            warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning)
+        if client_cert_source:
+            warnings.warn("client_cert_source is deprecated", DeprecationWarning)
+
+        if isinstance(channel, aio.Channel):
+            # Ignore credentials if a channel was passed.
+            credentials = None
+            self._ignore_credentials = True
+            # If a channel was explicitly provided, set it.
+            self._grpc_channel = channel
+            self._ssl_channel_credentials = None
+        else:
+            if api_mtls_endpoint:
+                host = api_mtls_endpoint
+
+                # Create SSL credentials with client_cert_source or application
+                # default SSL credentials.
+                if client_cert_source:
+                    cert, key = client_cert_source()
+                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
+                        certificate_chain=cert, private_key=key
+                    )
+                else:
+                    self._ssl_channel_credentials = SslCredentials().ssl_credentials
+
+            else:
+                if client_cert_source_for_mtls and not ssl_channel_credentials:
+                    cert, key = client_cert_source_for_mtls()
+                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
+                        certificate_chain=cert, private_key=key
+                    )
+
+        # The base transport sets the host, credentials and scopes
+        super().__init__(
+            host=host,
+            credentials=credentials,
+            credentials_file=credentials_file,
+            scopes=scopes,
+            quota_project_id=quota_project_id,
+            client_info=client_info,
+            always_use_jwt_access=always_use_jwt_access,
+            api_audience=api_audience,
+        )
+
+        if not self._grpc_channel:
+            # initialize with the provided callable or the default channel
+            channel_init = channel or type(self).create_channel
+            self._grpc_channel = channel_init(
+                self._host,
+                # use the credentials which are saved
+                credentials=self._credentials,
+                # Set ``credentials_file`` to ``None`` here as
+                # the credentials that we saved earlier should be used.
+                credentials_file=None,
+                scopes=self._scopes,
+                ssl_credentials=self._ssl_channel_credentials,
+                quota_project_id=quota_project_id,
+                options=[
+                    ("grpc.max_send_message_length", -1),
+                    ("grpc.max_receive_message_length", -1),
+                ],
+            )
+
+        # Wrap messages. This must be done after self._grpc_channel exists
+        self._wrap_with_kind = "kind" in inspect.signature(gapic_v1.method_async.wrap_method).parameters
+        self._prep_wrapped_messages(client_info)
+
+    @property
+    def grpc_channel(self) -> aio.Channel:
+        """Create the channel designed to connect to this service.
+
+        This property caches on the instance; repeated calls return
+        the same channel.
+        """
+        # Return the channel from cache.
+        return self._grpc_channel
+
+    @property
+    def create_entity(self) -> Callable[
+            [metadata_.CreateEntityRequest],
+            Awaitable[metadata_.Entity]]:
+        r"""Return a callable for the create entity method over gRPC.
+
+        Create a metadata entity.
+
+        Returns:
+            Callable[[~.CreateEntityRequest],
+                    Awaitable[~.Entity]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'create_entity' not in self._stubs:
+            self._stubs['create_entity'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.MetadataService/CreateEntity',
+                request_serializer=metadata_.CreateEntityRequest.serialize,
+                response_deserializer=metadata_.Entity.deserialize,
+            )
+        return self._stubs['create_entity']
+
+    @property
+    def update_entity(self) -> Callable[
+            [metadata_.UpdateEntityRequest],
+            Awaitable[metadata_.Entity]]:
+        r"""Return a callable for the update entity method over gRPC.
+
+        Update a metadata entity. Only supports full resource
+        update.
+
+        Returns:
+            Callable[[~.UpdateEntityRequest],
+                    Awaitable[~.Entity]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'update_entity' not in self._stubs:
+            self._stubs['update_entity'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.MetadataService/UpdateEntity',
+                request_serializer=metadata_.UpdateEntityRequest.serialize,
+                response_deserializer=metadata_.Entity.deserialize,
+            )
+        return self._stubs['update_entity']
+
+    @property
+    def delete_entity(self) -> Callable[
+            [metadata_.DeleteEntityRequest],
+            Awaitable[empty_pb2.Empty]]:
+        r"""Return a callable for the delete entity method over gRPC.
+
+        Delete a metadata entity.
+
+        Returns:
+            Callable[[~.DeleteEntityRequest],
+                    Awaitable[~.Empty]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'delete_entity' not in self._stubs:
+            self._stubs['delete_entity'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.MetadataService/DeleteEntity',
+                request_serializer=metadata_.DeleteEntityRequest.serialize,
+                response_deserializer=empty_pb2.Empty.FromString,
+            )
+        return self._stubs['delete_entity']
+
+    @property
+    def get_entity(self) -> Callable[
+            [metadata_.GetEntityRequest],
+            Awaitable[metadata_.Entity]]:
+        r"""Return a callable for the get entity method over gRPC.
+
+        Get a metadata entity.
+
+        Returns:
+            Callable[[~.GetEntityRequest],
+                    Awaitable[~.Entity]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'get_entity' not in self._stubs:
+            self._stubs['get_entity'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.MetadataService/GetEntity',
+                request_serializer=metadata_.GetEntityRequest.serialize,
+                response_deserializer=metadata_.Entity.deserialize,
+            )
+        return self._stubs['get_entity']
+
+    @property
+    def list_entities(self) -> Callable[
+            [metadata_.ListEntitiesRequest],
+            Awaitable[metadata_.ListEntitiesResponse]]:
+        r"""Return a callable for the list entities method over gRPC.
+
+        List metadata entities in a zone.
+
+        Returns:
+            Callable[[~.ListEntitiesRequest],
+                    Awaitable[~.ListEntitiesResponse]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'list_entities' not in self._stubs:
+            self._stubs['list_entities'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.MetadataService/ListEntities',
+                request_serializer=metadata_.ListEntitiesRequest.serialize,
+                response_deserializer=metadata_.ListEntitiesResponse.deserialize,
+            )
+        return self._stubs['list_entities']
+
+    @property
+    def create_partition(self) -> Callable[
+            [metadata_.CreatePartitionRequest],
+            Awaitable[metadata_.Partition]]:
+        r"""Return a callable for the create partition method over gRPC.
+
+        Create a metadata partition.
+
+        Returns:
+            Callable[[~.CreatePartitionRequest],
+                    Awaitable[~.Partition]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'create_partition' not in self._stubs:
+            self._stubs['create_partition'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.MetadataService/CreatePartition',
+                request_serializer=metadata_.CreatePartitionRequest.serialize,
+                response_deserializer=metadata_.Partition.deserialize,
+            )
+        return self._stubs['create_partition']
+
+    @property
+    def delete_partition(self) -> Callable[
+            [metadata_.DeletePartitionRequest],
+            Awaitable[empty_pb2.Empty]]:
+        r"""Return a callable for the delete partition method over gRPC.
+
+        Delete a metadata partition.
+
+        Returns:
+            Callable[[~.DeletePartitionRequest],
+                    Awaitable[~.Empty]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'delete_partition' not in self._stubs:
+            self._stubs['delete_partition'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.MetadataService/DeletePartition',
+                request_serializer=metadata_.DeletePartitionRequest.serialize,
+                response_deserializer=empty_pb2.Empty.FromString,
+            )
+        return self._stubs['delete_partition']
+
+    @property
+    def get_partition(self) -> Callable[
+            [metadata_.GetPartitionRequest],
+            Awaitable[metadata_.Partition]]:
+        r"""Return a callable for the get partition method over gRPC.
+
+        Get a metadata partition of an entity.
+
+        Returns:
+            Callable[[~.GetPartitionRequest],
+                    Awaitable[~.Partition]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'get_partition' not in self._stubs:
+            self._stubs['get_partition'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.MetadataService/GetPartition',
+                request_serializer=metadata_.GetPartitionRequest.serialize,
+                response_deserializer=metadata_.Partition.deserialize,
+            )
+        return self._stubs['get_partition']
+
+    @property
+    def list_partitions(self) -> Callable[
+            [metadata_.ListPartitionsRequest],
+            Awaitable[metadata_.ListPartitionsResponse]]:
+        r"""Return a callable for the list partitions method over gRPC.
+
+        List metadata partitions of an entity.
+
+        Returns:
+            Callable[[~.ListPartitionsRequest],
+                    Awaitable[~.ListPartitionsResponse]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if 'list_partitions' not in self._stubs:
+            self._stubs['list_partitions'] = self.grpc_channel.unary_unary(
+                '/google.cloud.dataplex.v1.MetadataService/ListPartitions',
+                request_serializer=metadata_.ListPartitionsRequest.serialize,
+                response_deserializer=metadata_.ListPartitionsResponse.deserialize,
+            )
+        return self._stubs['list_partitions']
+
+    def _prep_wrapped_messages(self, client_info):
+        """ Precompute the wrapped methods, overriding the base class method to use async wrappers."""
+        self._wrapped_methods = {
+            self.create_entity: self._wrap_method(
+                self.create_entity,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.update_entity: self._wrap_method(
+                self.update_entity,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.delete_entity: self._wrap_method(
+                self.delete_entity,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.get_entity: self._wrap_method(
+                self.get_entity,
+                default_retry=retries.AsyncRetry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.list_entities: self._wrap_method(
+                self.list_entities,
+                default_retry=retries.AsyncRetry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.create_partition: self._wrap_method(
+                self.create_partition,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.delete_partition: self._wrap_method(
+                self.delete_partition,
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.get_partition: self._wrap_method(
+                self.get_partition,
+                default_retry=retries.AsyncRetry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.list_partitions: self._wrap_method(
+                self.list_partitions,
+                default_retry=retries.AsyncRetry(
+                    initial=1.0,
+                    maximum=10.0,
+                    multiplier=1.3,
+                    predicate=retries.if_exception_type(
+                        core_exceptions.ServiceUnavailable,
+                    ),
+                    deadline=60.0,
+                ),
+                default_timeout=60.0,
+                client_info=client_info,
+            ),
+            self.get_location: self._wrap_method(
+                self.get_location,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.list_locations: self._wrap_method(
+                self.list_locations,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.cancel_operation: self._wrap_method(
+                self.cancel_operation,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.delete_operation: self._wrap_method(
+                self.delete_operation,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.get_operation: self._wrap_method(
+                self.get_operation,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.list_operations: self._wrap_method(
+                self.list_operations,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+        }
+
+    def _wrap_method(self, func, *args, **kwargs):
+        if self._wrap_with_kind:  # pragma: NO COVER
+            kwargs["kind"] = self.kind
+        return gapic_v1.method_async.wrap_method(func, *args, **kwargs)
+
+    def close(self):
+        return self.grpc_channel.close()
+
+    @property
+    def kind(self) -> str:
+        return "grpc_asyncio"
+
+    @property
+    def delete_operation(
+        self,
+    ) -> Callable[[operations_pb2.DeleteOperationRequest], None]:
+        r"""Return a callable for the delete_operation method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "delete_operation" not in self._stubs:
+            self._stubs["delete_operation"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/DeleteOperation",
+                request_serializer=operations_pb2.DeleteOperationRequest.SerializeToString,
+                response_deserializer=None,
+            )
+        return self._stubs["delete_operation"]
+
+    @property
+    def cancel_operation(
+        self,
+    ) -> Callable[[operations_pb2.CancelOperationRequest], None]:
+        r"""Return a callable for the cancel_operation method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "cancel_operation" not in self._stubs:
+            self._stubs["cancel_operation"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/CancelOperation",
+                request_serializer=operations_pb2.CancelOperationRequest.SerializeToString,
+                response_deserializer=None,
+            )
+        return self._stubs["cancel_operation"]
+
+    @property
+    def get_operation(
+        self,
+    ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]:
+        r"""Return a callable for the get_operation method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "get_operation" not in self._stubs:
+            self._stubs["get_operation"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/GetOperation",
+                request_serializer=operations_pb2.GetOperationRequest.SerializeToString,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs["get_operation"]
+
+    @property
+    def list_operations(
+        self,
+    ) -> Callable[[operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse]:
+        r"""Return a callable for the list_operations method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "list_operations" not in self._stubs:
+            self._stubs["list_operations"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/ListOperations",
+                request_serializer=operations_pb2.ListOperationsRequest.SerializeToString,
+                response_deserializer=operations_pb2.ListOperationsResponse.FromString,
+            )
+        return self._stubs["list_operations"]
+
+    @property
+    def list_locations(
+        self,
+    ) -> Callable[[locations_pb2.ListLocationsRequest], locations_pb2.ListLocationsResponse]:
+        r"""Return a callable for the list locations method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "list_locations" not in self._stubs:
+            self._stubs["list_locations"] = self.grpc_channel.unary_unary(
+                "/google.cloud.location.Locations/ListLocations",
+                request_serializer=locations_pb2.ListLocationsRequest.SerializeToString,
+                response_deserializer=locations_pb2.ListLocationsResponse.FromString,
+            )
+        return self._stubs["list_locations"]
+
+    @property
+    def get_location(
+        self,
+    ) -> Callable[[locations_pb2.GetLocationRequest], locations_pb2.Location]:
+        r"""Return a callable for the list locations method over gRPC.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "get_location" not in self._stubs:
+            self._stubs["get_location"] = self.grpc_channel.unary_unary(
+                "/google.cloud.location.Locations/GetLocation",
+                request_serializer=locations_pb2.GetLocationRequest.SerializeToString,
+                response_deserializer=locations_pb2.Location.FromString,
+            )
+        return self._stubs["get_location"]
+
+
+__all__ = (
+    'MetadataServiceGrpcAsyncIOTransport',
+)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/__init__.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/__init__.py
new file mode 100644
index 000000000000..99c2580b712c
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/__init__.py
@@ -0,0 +1,408 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from .analyze import (
+    Content,
+    Environment,
+    Session,
+)
+from .catalog import (
+    Aspect,
+    AspectSource,
+    AspectType,
+    CancelMetadataJobRequest,
+    CreateAspectTypeRequest,
+    CreateEntryGroupRequest,
+    CreateEntryRequest,
+    CreateEntryTypeRequest,
+    CreateMetadataJobRequest,
+    DeleteAspectTypeRequest,
+    DeleteEntryGroupRequest,
+    DeleteEntryRequest,
+    DeleteEntryTypeRequest,
+    Entry,
+    EntryGroup,
+    EntrySource,
+    EntryType,
+    GetAspectTypeRequest,
+    GetEntryGroupRequest,
+    GetEntryRequest,
+    GetEntryTypeRequest,
+    GetMetadataJobRequest,
+    ImportItem,
+    ListAspectTypesRequest,
+    ListAspectTypesResponse,
+    ListEntriesRequest,
+    ListEntriesResponse,
+    ListEntryGroupsRequest,
+    ListEntryGroupsResponse,
+    ListEntryTypesRequest,
+    ListEntryTypesResponse,
+    ListMetadataJobsRequest,
+    ListMetadataJobsResponse,
+    LookupEntryRequest,
+    MetadataJob,
+    SearchEntriesRequest,
+    SearchEntriesResponse,
+    SearchEntriesResult,
+    UpdateAspectTypeRequest,
+    UpdateEntryGroupRequest,
+    UpdateEntryRequest,
+    UpdateEntryTypeRequest,
+    EntryView,
+    TransferStatus,
+)
+from .content import (
+    CreateContentRequest,
+    DeleteContentRequest,
+    GetContentRequest,
+    ListContentRequest,
+    ListContentResponse,
+    UpdateContentRequest,
+)
+from .data_discovery import (
+    DataDiscoveryResult,
+    DataDiscoverySpec,
+)
+from .data_profile import (
+    DataProfileResult,
+    DataProfileSpec,
+)
+from .data_quality import (
+    DataQualityColumnResult,
+    DataQualityDimension,
+    DataQualityDimensionResult,
+    DataQualityResult,
+    DataQualityRule,
+    DataQualityRuleResult,
+    DataQualitySpec,
+)
+from .data_taxonomy import (
+    CreateDataAttributeBindingRequest,
+    CreateDataAttributeRequest,
+    CreateDataTaxonomyRequest,
+    DataAttribute,
+    DataAttributeBinding,
+    DataTaxonomy,
+    DeleteDataAttributeBindingRequest,
+    DeleteDataAttributeRequest,
+    DeleteDataTaxonomyRequest,
+    GetDataAttributeBindingRequest,
+    GetDataAttributeRequest,
+    GetDataTaxonomyRequest,
+    ListDataAttributeBindingsRequest,
+    ListDataAttributeBindingsResponse,
+    ListDataAttributesRequest,
+    ListDataAttributesResponse,
+    ListDataTaxonomiesRequest,
+    ListDataTaxonomiesResponse,
+    UpdateDataAttributeBindingRequest,
+    UpdateDataAttributeRequest,
+    UpdateDataTaxonomyRequest,
+)
+from .datascans import (
+    CreateDataScanRequest,
+    DataScan,
+    DataScanJob,
+    DeleteDataScanRequest,
+    GenerateDataQualityRulesRequest,
+    GenerateDataQualityRulesResponse,
+    GetDataScanJobRequest,
+    GetDataScanRequest,
+    ListDataScanJobsRequest,
+    ListDataScanJobsResponse,
+    ListDataScansRequest,
+    ListDataScansResponse,
+    RunDataScanRequest,
+    RunDataScanResponse,
+    UpdateDataScanRequest,
+    DataScanType,
+)
+from .logs import (
+    DataQualityScanRuleResult,
+    DataScanEvent,
+    DiscoveryEvent,
+    GovernanceEvent,
+    JobEvent,
+    SessionEvent,
+)
+from .metadata_ import (
+    CreateEntityRequest,
+    CreatePartitionRequest,
+    DeleteEntityRequest,
+    DeletePartitionRequest,
+    Entity,
+    GetEntityRequest,
+    GetPartitionRequest,
+    ListEntitiesRequest,
+    ListEntitiesResponse,
+    ListPartitionsRequest,
+    ListPartitionsResponse,
+    Partition,
+    Schema,
+    StorageAccess,
+    StorageFormat,
+    UpdateEntityRequest,
+    StorageSystem,
+)
+from .processing import (
+    DataSource,
+    ScannedData,
+    Trigger,
+)
+from .resources import (
+    Action,
+    Asset,
+    AssetStatus,
+    Lake,
+    Zone,
+    State,
+)
+from .security import (
+    DataAccessSpec,
+    ResourceAccessSpec,
+)
+from .service import (
+    CancelJobRequest,
+    CreateAssetRequest,
+    CreateEnvironmentRequest,
+    CreateLakeRequest,
+    CreateTaskRequest,
+    CreateZoneRequest,
+    DeleteAssetRequest,
+    DeleteEnvironmentRequest,
+    DeleteLakeRequest,
+    DeleteTaskRequest,
+    DeleteZoneRequest,
+    GetAssetRequest,
+    GetEnvironmentRequest,
+    GetJobRequest,
+    GetLakeRequest,
+    GetTaskRequest,
+    GetZoneRequest,
+    ListActionsResponse,
+    ListAssetActionsRequest,
+    ListAssetsRequest,
+    ListAssetsResponse,
+    ListEnvironmentsRequest,
+    ListEnvironmentsResponse,
+    ListJobsRequest,
+    ListJobsResponse,
+    ListLakeActionsRequest,
+    ListLakesRequest,
+    ListLakesResponse,
+    ListSessionsRequest,
+    ListSessionsResponse,
+    ListTasksRequest,
+    ListTasksResponse,
+    ListZoneActionsRequest,
+    ListZonesRequest,
+    ListZonesResponse,
+    OperationMetadata,
+    RunTaskRequest,
+    RunTaskResponse,
+    UpdateAssetRequest,
+    UpdateEnvironmentRequest,
+    UpdateLakeRequest,
+    UpdateTaskRequest,
+    UpdateZoneRequest,
+)
+from .tasks import (
+    Job,
+    Task,
+)
+
+__all__ = (
+    'Content',
+    'Environment',
+    'Session',
+    'Aspect',
+    'AspectSource',
+    'AspectType',
+    'CancelMetadataJobRequest',
+    'CreateAspectTypeRequest',
+    'CreateEntryGroupRequest',
+    'CreateEntryRequest',
+    'CreateEntryTypeRequest',
+    'CreateMetadataJobRequest',
+    'DeleteAspectTypeRequest',
+    'DeleteEntryGroupRequest',
+    'DeleteEntryRequest',
+    'DeleteEntryTypeRequest',
+    'Entry',
+    'EntryGroup',
+    'EntrySource',
+    'EntryType',
+    'GetAspectTypeRequest',
+    'GetEntryGroupRequest',
+    'GetEntryRequest',
+    'GetEntryTypeRequest',
+    'GetMetadataJobRequest',
+    'ImportItem',
+    'ListAspectTypesRequest',
+    'ListAspectTypesResponse',
+    'ListEntriesRequest',
+    'ListEntriesResponse',
+    'ListEntryGroupsRequest',
+    'ListEntryGroupsResponse',
+    'ListEntryTypesRequest',
+    'ListEntryTypesResponse',
+    'ListMetadataJobsRequest',
+    'ListMetadataJobsResponse',
+    'LookupEntryRequest',
+    'MetadataJob',
+    'SearchEntriesRequest',
+    'SearchEntriesResponse',
+    'SearchEntriesResult',
+    'UpdateAspectTypeRequest',
+    'UpdateEntryGroupRequest',
+    'UpdateEntryRequest',
+    'UpdateEntryTypeRequest',
+    'EntryView',
+    'TransferStatus',
+    'CreateContentRequest',
+    'DeleteContentRequest',
+    'GetContentRequest',
+    'ListContentRequest',
+    'ListContentResponse',
+    'UpdateContentRequest',
+    'DataDiscoveryResult',
+    'DataDiscoverySpec',
+    'DataProfileResult',
+    'DataProfileSpec',
+    'DataQualityColumnResult',
+    'DataQualityDimension',
+    'DataQualityDimensionResult',
+    'DataQualityResult',
+    'DataQualityRule',
+    'DataQualityRuleResult',
+    'DataQualitySpec',
+    'CreateDataAttributeBindingRequest',
+    'CreateDataAttributeRequest',
+    'CreateDataTaxonomyRequest',
+    'DataAttribute',
+    'DataAttributeBinding',
+    'DataTaxonomy',
+    'DeleteDataAttributeBindingRequest',
+    'DeleteDataAttributeRequest',
+    'DeleteDataTaxonomyRequest',
+    'GetDataAttributeBindingRequest',
+    'GetDataAttributeRequest',
+    'GetDataTaxonomyRequest',
+    'ListDataAttributeBindingsRequest',
+    'ListDataAttributeBindingsResponse',
+    'ListDataAttributesRequest',
+    'ListDataAttributesResponse',
+    'ListDataTaxonomiesRequest',
+    'ListDataTaxonomiesResponse',
+    'UpdateDataAttributeBindingRequest',
+    'UpdateDataAttributeRequest',
+    'UpdateDataTaxonomyRequest',
+    'CreateDataScanRequest',
+    'DataScan',
+    'DataScanJob',
+    'DeleteDataScanRequest',
+    'GenerateDataQualityRulesRequest',
+    'GenerateDataQualityRulesResponse',
+    'GetDataScanJobRequest',
+    'GetDataScanRequest',
+    'ListDataScanJobsRequest',
+    'ListDataScanJobsResponse',
+    'ListDataScansRequest',
+    'ListDataScansResponse',
+    'RunDataScanRequest',
+    'RunDataScanResponse',
+    'UpdateDataScanRequest',
+    'DataScanType',
+    'DataQualityScanRuleResult',
+    'DataScanEvent',
+    'DiscoveryEvent',
+    'GovernanceEvent',
+    'JobEvent',
+    'SessionEvent',
+    'CreateEntityRequest',
+    'CreatePartitionRequest',
+    'DeleteEntityRequest',
+    'DeletePartitionRequest',
+    'Entity',
+    'GetEntityRequest',
+    'GetPartitionRequest',
+    'ListEntitiesRequest',
+    'ListEntitiesResponse',
+    'ListPartitionsRequest',
+    'ListPartitionsResponse',
+    'Partition',
+    'Schema',
+    'StorageAccess',
+    'StorageFormat',
+    'UpdateEntityRequest',
+    'StorageSystem',
+    'DataSource',
+    'ScannedData',
+    'Trigger',
+    'Action',
+    'Asset',
+    'AssetStatus',
+    'Lake',
+    'Zone',
+    'State',
+    'DataAccessSpec',
+    'ResourceAccessSpec',
+    'CancelJobRequest',
+    'CreateAssetRequest',
+    'CreateEnvironmentRequest',
+    'CreateLakeRequest',
+    'CreateTaskRequest',
+    'CreateZoneRequest',
+    'DeleteAssetRequest',
+    'DeleteEnvironmentRequest',
+    'DeleteLakeRequest',
+    'DeleteTaskRequest',
+    'DeleteZoneRequest',
+    'GetAssetRequest',
+    'GetEnvironmentRequest',
+    'GetJobRequest',
+    'GetLakeRequest',
+    'GetTaskRequest',
+    'GetZoneRequest',
+    'ListActionsResponse',
+    'ListAssetActionsRequest',
+    'ListAssetsRequest',
+    'ListAssetsResponse',
+    'ListEnvironmentsRequest',
+    'ListEnvironmentsResponse',
+    'ListJobsRequest',
+    'ListJobsResponse',
+    'ListLakeActionsRequest',
+    'ListLakesRequest',
+    'ListLakesResponse',
+    'ListSessionsRequest',
+    'ListSessionsResponse',
+    'ListTasksRequest',
+    'ListTasksResponse',
+    'ListZoneActionsRequest',
+    'ListZonesRequest',
+    'ListZonesResponse',
+    'OperationMetadata',
+    'RunTaskRequest',
+    'RunTaskResponse',
+    'UpdateAssetRequest',
+    'UpdateEnvironmentRequest',
+    'UpdateLakeRequest',
+    'UpdateTaskRequest',
+    'UpdateZoneRequest',
+    'Job',
+    'Task',
+)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/analyze.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/analyze.py
new file mode 100644
index 000000000000..a12a3b34e864
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/analyze.py
@@ -0,0 +1,491 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from __future__ import annotations
+
+from typing import MutableMapping, MutableSequence
+
+import proto  # type: ignore
+
+from google.cloud.dataplex_v1.types import resources
+from google.protobuf import duration_pb2  # type: ignore
+from google.protobuf import timestamp_pb2  # type: ignore
+
+
+__protobuf__ = proto.module(
+    package='google.cloud.dataplex.v1',
+    manifest={
+        'Environment',
+        'Content',
+        'Session',
+    },
+)
+
+
+class Environment(proto.Message):
+    r"""Environment represents a user-visible compute infrastructure
+    for analytics within a lake.
+
+    Attributes:
+        name (str):
+            Output only. The relative resource name of the environment,
+            of the form:
+            projects/{project_id}/locations/{location_id}/lakes/{lake_id}/environment/{environment_id}
+        display_name (str):
+            Optional. User friendly display name.
+        uid (str):
+            Output only. System generated globally unique
+            ID for the environment. This ID will be
+            different if the environment is deleted and
+            re-created with the same name.
+        create_time (google.protobuf.timestamp_pb2.Timestamp):
+            Output only. Environment creation time.
+        update_time (google.protobuf.timestamp_pb2.Timestamp):
+            Output only. The time when the environment
+            was last updated.
+        labels (MutableMapping[str, str]):
+            Optional. User defined labels for the
+            environment.
+        description (str):
+            Optional. Description of the environment.
+        state (google.cloud.dataplex_v1.types.State):
+            Output only. Current state of the
+            environment.
+        infrastructure_spec (google.cloud.dataplex_v1.types.Environment.InfrastructureSpec):
+            Required. Infrastructure specification for
+            the Environment.
+        session_spec (google.cloud.dataplex_v1.types.Environment.SessionSpec):
+            Optional. Configuration for sessions created
+            for this environment.
+        session_status (google.cloud.dataplex_v1.types.Environment.SessionStatus):
+            Output only. Status of sessions created for
+            this environment.
+        endpoints (google.cloud.dataplex_v1.types.Environment.Endpoints):
+            Output only. URI Endpoints to access sessions
+            associated with the Environment.
+    """
+
+    class InfrastructureSpec(proto.Message):
+        r"""Configuration for the underlying infrastructure used to run
+        workloads.
+
+
+        .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
+
+        Attributes:
+            compute (google.cloud.dataplex_v1.types.Environment.InfrastructureSpec.ComputeResources):
+                Optional. Compute resources needed for
+                analyze interactive workloads.
+
+                This field is a member of `oneof`_ ``resources``.
+            os_image (google.cloud.dataplex_v1.types.Environment.InfrastructureSpec.OsImageRuntime):
+                Required. Software Runtime Configuration for
+                analyze interactive workloads.
+
+                This field is a member of `oneof`_ ``runtime``.
+        """
+
+        class ComputeResources(proto.Message):
+            r"""Compute resources associated with the analyze interactive
+            workloads.
+
+            Attributes:
+                disk_size_gb (int):
+                    Optional. Size in GB of the disk. Default is
+                    100 GB.
+                node_count (int):
+                    Optional. Total number of nodes in the
+                    sessions created for this environment.
+                max_node_count (int):
+                    Optional. Max configurable nodes. If max_node_count >
+                    node_count, then auto-scaling is enabled.
+            """
+
+            disk_size_gb: int = proto.Field(
+                proto.INT32,
+                number=1,
+            )
+            node_count: int = proto.Field(
+                proto.INT32,
+                number=2,
+            )
+            max_node_count: int = proto.Field(
+                proto.INT32,
+                number=3,
+            )
+
+        class OsImageRuntime(proto.Message):
+            r"""Software Runtime Configuration to run Analyze.
+
+            Attributes:
+                image_version (str):
+                    Required. Dataplex Image version.
+                java_libraries (MutableSequence[str]):
+                    Optional. List of Java jars to be included in
+                    the runtime environment. Valid input includes
+                    Cloud Storage URIs to Jar binaries. For example,
+                    gs://bucket-name/my/path/to/file.jar
+                python_packages (MutableSequence[str]):
+                    Optional. A list of python packages to be
+                    installed. Valid formats include Cloud Storage
+                    URI to a PIP installable library. For example,
+                    gs://bucket-name/my/path/to/lib.tar.gz
+                properties (MutableMapping[str, str]):
+                    Optional. Spark properties to provide configuration for use
+                    in sessions created for this environment. The properties to
+                    set on daemon config files. Property keys are specified in
+                    ``prefix:property`` format. The prefix must be "spark".
+            """
+
+            image_version: str = proto.Field(
+                proto.STRING,
+                number=1,
+            )
+            java_libraries: MutableSequence[str] = proto.RepeatedField(
+                proto.STRING,
+                number=2,
+            )
+            python_packages: MutableSequence[str] = proto.RepeatedField(
+                proto.STRING,
+                number=3,
+            )
+            properties: MutableMapping[str, str] = proto.MapField(
+                proto.STRING,
+                proto.STRING,
+                number=4,
+            )
+
+        compute: 'Environment.InfrastructureSpec.ComputeResources' = proto.Field(
+            proto.MESSAGE,
+            number=50,
+            oneof='resources',
+            message='Environment.InfrastructureSpec.ComputeResources',
+        )
+        os_image: 'Environment.InfrastructureSpec.OsImageRuntime' = proto.Field(
+            proto.MESSAGE,
+            number=100,
+            oneof='runtime',
+            message='Environment.InfrastructureSpec.OsImageRuntime',
+        )
+
+    class SessionSpec(proto.Message):
+        r"""Configuration for sessions created for this environment.
+
+        Attributes:
+            max_idle_duration (google.protobuf.duration_pb2.Duration):
+                Optional. The idle time configuration of the
+                session. The session will be auto-terminated at
+                the end of this period.
+            enable_fast_startup (bool):
+                Optional. If True, this causes sessions to be
+                pre-created and available for faster startup to
+                enable interactive exploration use-cases. This
+                defaults to False to avoid additional billed
+                charges. These can only be set to True for the
+                environment with name set to "default", and with
+                default configuration.
+        """
+
+        max_idle_duration: duration_pb2.Duration = proto.Field(
+            proto.MESSAGE,
+            number=1,
+            message=duration_pb2.Duration,
+        )
+        enable_fast_startup: bool = proto.Field(
+            proto.BOOL,
+            number=2,
+        )
+
+    class SessionStatus(proto.Message):
+        r"""Status of sessions created for this environment.
+
+        Attributes:
+            active (bool):
+                Output only. Queries over sessions to mark
+                whether the environment is currently active or
+                not
+        """
+
+        active: bool = proto.Field(
+            proto.BOOL,
+            number=1,
+        )
+
+    class Endpoints(proto.Message):
+        r"""URI Endpoints to access sessions associated with the
+        Environment.
+
+        Attributes:
+            notebooks (str):
+                Output only. URI to serve notebook APIs
+            sql (str):
+                Output only. URI to serve SQL APIs
+        """
+
+        notebooks: str = proto.Field(
+            proto.STRING,
+            number=1,
+        )
+        sql: str = proto.Field(
+            proto.STRING,
+            number=2,
+        )
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    display_name: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+    uid: str = proto.Field(
+        proto.STRING,
+        number=3,
+    )
+    create_time: timestamp_pb2.Timestamp = proto.Field(
+        proto.MESSAGE,
+        number=4,
+        message=timestamp_pb2.Timestamp,
+    )
+    update_time: timestamp_pb2.Timestamp = proto.Field(
+        proto.MESSAGE,
+        number=5,
+        message=timestamp_pb2.Timestamp,
+    )
+    labels: MutableMapping[str, str] = proto.MapField(
+        proto.STRING,
+        proto.STRING,
+        number=6,
+    )
+    description: str = proto.Field(
+        proto.STRING,
+        number=7,
+    )
+    state: resources.State = proto.Field(
+        proto.ENUM,
+        number=8,
+        enum=resources.State,
+    )
+    infrastructure_spec: InfrastructureSpec = proto.Field(
+        proto.MESSAGE,
+        number=100,
+        message=InfrastructureSpec,
+    )
+    session_spec: SessionSpec = proto.Field(
+        proto.MESSAGE,
+        number=101,
+        message=SessionSpec,
+    )
+    session_status: SessionStatus = proto.Field(
+        proto.MESSAGE,
+        number=102,
+        message=SessionStatus,
+    )
+    endpoints: Endpoints = proto.Field(
+        proto.MESSAGE,
+        number=200,
+        message=Endpoints,
+    )
+
+
+class Content(proto.Message):
+    r"""Content represents a user-visible notebook or a sql script
+
+    This message has `oneof`_ fields (mutually exclusive fields).
+    For each oneof, at most one member field can be set at the same time.
+    Setting any member of the oneof automatically clears all other
+    members.
+
+    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
+
+    Attributes:
+        name (str):
+            Output only. The relative resource name of the content, of
+            the form:
+            projects/{project_id}/locations/{location_id}/lakes/{lake_id}/content/{content_id}
+        uid (str):
+            Output only. System generated globally unique
+            ID for the content. This ID will be different if
+            the content is deleted and re-created with the
+            same name.
+        path (str):
+            Required. The path for the Content file,
+            represented as directory structure. Unique
+            within a lake. Limited to alphanumerics,
+            hyphens, underscores, dots and slashes.
+        create_time (google.protobuf.timestamp_pb2.Timestamp):
+            Output only. Content creation time.
+        update_time (google.protobuf.timestamp_pb2.Timestamp):
+            Output only. The time when the content was
+            last updated.
+        labels (MutableMapping[str, str]):
+            Optional. User defined labels for the
+            content.
+        description (str):
+            Optional. Description of the content.
+        data_text (str):
+            Required. Content data in string format.
+
+            This field is a member of `oneof`_ ``data``.
+        sql_script (google.cloud.dataplex_v1.types.Content.SqlScript):
+            Sql Script related configurations.
+
+            This field is a member of `oneof`_ ``content``.
+        notebook (google.cloud.dataplex_v1.types.Content.Notebook):
+            Notebook related configurations.
+
+            This field is a member of `oneof`_ ``content``.
+    """
+
+    class SqlScript(proto.Message):
+        r"""Configuration for the Sql Script content.
+
+        Attributes:
+            engine (google.cloud.dataplex_v1.types.Content.SqlScript.QueryEngine):
+                Required. Query Engine to be used for the Sql
+                Query.
+        """
+        class QueryEngine(proto.Enum):
+            r"""Query Engine Type of the SQL Script.
+
+            Values:
+                QUERY_ENGINE_UNSPECIFIED (0):
+                    Value was unspecified.
+                SPARK (2):
+                    Spark SQL Query.
+            """
+            QUERY_ENGINE_UNSPECIFIED = 0
+            SPARK = 2
+
+        engine: 'Content.SqlScript.QueryEngine' = proto.Field(
+            proto.ENUM,
+            number=1,
+            enum='Content.SqlScript.QueryEngine',
+        )
+
+    class Notebook(proto.Message):
+        r"""Configuration for Notebook content.
+
+        Attributes:
+            kernel_type (google.cloud.dataplex_v1.types.Content.Notebook.KernelType):
+                Required. Kernel Type of the notebook.
+        """
+        class KernelType(proto.Enum):
+            r"""Kernel Type of the Jupyter notebook.
+
+            Values:
+                KERNEL_TYPE_UNSPECIFIED (0):
+                    Kernel Type unspecified.
+                PYTHON3 (1):
+                    Python 3 Kernel.
+            """
+            KERNEL_TYPE_UNSPECIFIED = 0
+            PYTHON3 = 1
+
+        kernel_type: 'Content.Notebook.KernelType' = proto.Field(
+            proto.ENUM,
+            number=1,
+            enum='Content.Notebook.KernelType',
+        )
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    uid: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+    path: str = proto.Field(
+        proto.STRING,
+        number=3,
+    )
+    create_time: timestamp_pb2.Timestamp = proto.Field(
+        proto.MESSAGE,
+        number=4,
+        message=timestamp_pb2.Timestamp,
+    )
+    update_time: timestamp_pb2.Timestamp = proto.Field(
+        proto.MESSAGE,
+        number=5,
+        message=timestamp_pb2.Timestamp,
+    )
+    labels: MutableMapping[str, str] = proto.MapField(
+        proto.STRING,
+        proto.STRING,
+        number=6,
+    )
+    description: str = proto.Field(
+        proto.STRING,
+        number=7,
+    )
+    data_text: str = proto.Field(
+        proto.STRING,
+        number=9,
+        oneof='data',
+    )
+    sql_script: SqlScript = proto.Field(
+        proto.MESSAGE,
+        number=100,
+        oneof='content',
+        message=SqlScript,
+    )
+    notebook: Notebook = proto.Field(
+        proto.MESSAGE,
+        number=101,
+        oneof='content',
+        message=Notebook,
+    )
+
+
+class Session(proto.Message):
+    r"""Represents an active analyze session running for a user.
+
+    Attributes:
+        name (str):
+            Output only. The relative resource name of the content, of
+            the form:
+            projects/{project_id}/locations/{location_id}/lakes/{lake_id}/environment/{environment_id}/sessions/{session_id}
+        user_id (str):
+            Output only. Email of user running the
+            session.
+        create_time (google.protobuf.timestamp_pb2.Timestamp):
+            Output only. Session start time.
+        state (google.cloud.dataplex_v1.types.State):
+            Output only. State of Session
+    """
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    user_id: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+    create_time: timestamp_pb2.Timestamp = proto.Field(
+        proto.MESSAGE,
+        number=3,
+        message=timestamp_pb2.Timestamp,
+    )
+    state: resources.State = proto.Field(
+        proto.ENUM,
+        number=4,
+        enum=resources.State,
+    )
+
+
+__all__ = tuple(sorted(__protobuf__.manifest))
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/catalog.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/catalog.py
new file mode 100644
index 000000000000..b1233e502d15
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/catalog.py
@@ -0,0 +1,2630 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from __future__ import annotations
+
+from typing import MutableMapping, MutableSequence
+
+import proto  # type: ignore
+
+from google.protobuf import field_mask_pb2  # type: ignore
+from google.protobuf import struct_pb2  # type: ignore
+from google.protobuf import timestamp_pb2  # type: ignore
+
+
+__protobuf__ = proto.module(
+    package='google.cloud.dataplex.v1',
+    manifest={
+        'EntryView',
+        'TransferStatus',
+        'AspectType',
+        'EntryGroup',
+        'EntryType',
+        'Aspect',
+        'AspectSource',
+        'Entry',
+        'EntrySource',
+        'CreateEntryGroupRequest',
+        'UpdateEntryGroupRequest',
+        'DeleteEntryGroupRequest',
+        'ListEntryGroupsRequest',
+        'ListEntryGroupsResponse',
+        'GetEntryGroupRequest',
+        'CreateEntryTypeRequest',
+        'UpdateEntryTypeRequest',
+        'DeleteEntryTypeRequest',
+        'ListEntryTypesRequest',
+        'ListEntryTypesResponse',
+        'GetEntryTypeRequest',
+        'CreateAspectTypeRequest',
+        'UpdateAspectTypeRequest',
+        'DeleteAspectTypeRequest',
+        'ListAspectTypesRequest',
+        'ListAspectTypesResponse',
+        'GetAspectTypeRequest',
+        'CreateEntryRequest',
+        'UpdateEntryRequest',
+        'DeleteEntryRequest',
+        'ListEntriesRequest',
+        'ListEntriesResponse',
+        'GetEntryRequest',
+        'LookupEntryRequest',
+        'SearchEntriesRequest',
+        'SearchEntriesResult',
+        'SearchEntriesResponse',
+        'ImportItem',
+        'CreateMetadataJobRequest',
+        'GetMetadataJobRequest',
+        'ListMetadataJobsRequest',
+        'ListMetadataJobsResponse',
+        'CancelMetadataJobRequest',
+        'MetadataJob',
+    },
+)
+
+
+class EntryView(proto.Enum):
+    r"""View for controlling which parts of an entry are to be
+    returned.
+
+    Values:
+        ENTRY_VIEW_UNSPECIFIED (0):
+            Unspecified EntryView. Defaults to FULL.
+        BASIC (1):
+            Returns entry only, without aspects.
+        FULL (2):
+            Returns all required aspects as well as the
+            keys of all non-required aspects.
+        CUSTOM (3):
+            Returns aspects matching custom fields in
+            GetEntryRequest. If the number of aspects
+            exceeds 100, the first 100 will be returned.
+        ALL (4):
+            Returns all aspects. If the number of aspects
+            exceeds 100, the first 100 will be returned.
+    """
+    ENTRY_VIEW_UNSPECIFIED = 0
+    BASIC = 1
+    FULL = 2
+    CUSTOM = 3
+    ALL = 4
+
+
+class TransferStatus(proto.Enum):
+    r"""Denotes the transfer status of a resource. It is unspecified
+    for resources created from Dataplex API.
+
+    Values:
+        TRANSFER_STATUS_UNSPECIFIED (0):
+            The default value. It is set for resources
+            that were not subject for migration from Data
+            Catalog service.
+        TRANSFER_STATUS_MIGRATED (1):
+            Indicates that a resource was migrated from
+            Data Catalog service but it hasn't been
+            transferred yet. In particular the resource
+            cannot be updated from Dataplex API.
+        TRANSFER_STATUS_TRANSFERRED (2):
+            Indicates that a resource was transferred
+            from Data Catalog service. The resource can only
+            be updated from Dataplex API.
+    """
+    TRANSFER_STATUS_UNSPECIFIED = 0
+    TRANSFER_STATUS_MIGRATED = 1
+    TRANSFER_STATUS_TRANSFERRED = 2
+
+
+class AspectType(proto.Message):
+    r"""AspectType is a template for creating Aspects, and represents
+    the JSON-schema for a given Entry, for example, BigQuery Table
+    Schema.
+
+    Attributes:
+        name (str):
+            Output only. The relative resource name of the AspectType,
+            of the form:
+            projects/{project_number}/locations/{location_id}/aspectTypes/{aspect_type_id}.
+        uid (str):
+            Output only. System generated globally unique
+            ID for the AspectType. If you delete and
+            recreate the AspectType with the same name, then
+            this ID will be different.
+        create_time (google.protobuf.timestamp_pb2.Timestamp):
+            Output only. The time when the AspectType was
+            created.
+        update_time (google.protobuf.timestamp_pb2.Timestamp):
+            Output only. The time when the AspectType was
+            last updated.
+        description (str):
+            Optional. Description of the AspectType.
+        display_name (str):
+            Optional. User friendly display name.
+        labels (MutableMapping[str, str]):
+            Optional. User-defined labels for the
+            AspectType.
+        etag (str):
+            The service computes this checksum. The
+            client may send it on update and delete requests
+            to ensure it has an up-to-date value before
+            proceeding.
+        authorization (google.cloud.dataplex_v1.types.AspectType.Authorization):
+            Immutable. Defines the Authorization for this
+            type.
+        metadata_template (google.cloud.dataplex_v1.types.AspectType.MetadataTemplate):
+            Required. MetadataTemplate of the aspect.
+        transfer_status (google.cloud.dataplex_v1.types.TransferStatus):
+            Output only. Denotes the transfer status of
+            the Aspect Type. It is unspecified for Aspect
+            Types created from Dataplex API.
+    """
+
+    class Authorization(proto.Message):
+        r"""Autorization for an AspectType.
+
+        Attributes:
+            alternate_use_permission (str):
+                Immutable. The IAM permission grantable on
+                the EntryGroup to allow access to instantiate
+                Aspects of Dataplex owned AspectTypes, only
+                settable for Dataplex owned Types.
+        """
+
+        alternate_use_permission: str = proto.Field(
+            proto.STRING,
+            number=1,
+        )
+
+    class MetadataTemplate(proto.Message):
+        r"""MetadataTemplate definition for an AspectType.
+
+        Attributes:
+            index (int):
+                Optional. Index is used to encode Template
+                messages. The value of index can range between 1
+                and 2,147,483,647. Index must be unique within
+                all fields in a Template. (Nested Templates can
+                reuse indexes). Once a Template is defined, the
+                index cannot be changed, because it identifies
+                the field in the actual storage format. Index is
+                a mandatory field, but it is optional for top
+                level fields, and map/array "values"
+                definitions.
+            name (str):
+                Required. The name of the field.
+            type_ (str):
+                Required. The datatype of this field. The following values
+                are supported:
+
+                Primitive types:
+
+                -  string
+                -  integer
+                -  boolean
+                -  double
+                -  datetime. Must be of the format RFC3339 UTC "Zulu"
+                   (Examples: "2014-10-02T15:01:23Z" and
+                   "2014-10-02T15:01:23.045123456Z").
+
+                Complex types:
+
+                -  enum
+                -  array
+                -  map
+                -  record
+            record_fields (MutableSequence[google.cloud.dataplex_v1.types.AspectType.MetadataTemplate]):
+                Optional. Field definition. You must specify
+                it if the type is record. It defines the nested
+                fields.
+            enum_values (MutableSequence[google.cloud.dataplex_v1.types.AspectType.MetadataTemplate.EnumValue]):
+                Optional. The list of values for an enum
+                type. You must define it if the type is enum.
+            map_items (google.cloud.dataplex_v1.types.AspectType.MetadataTemplate):
+                Optional. If the type is map, set map_items. map_items can
+                refer to a primitive field or a complex (record only) field.
+                To specify a primitive field, you only need to set name and
+                type in the nested MetadataTemplate. The recommended value
+                for the name field is item, as this isn't used in the actual
+                payload.
+            array_items (google.cloud.dataplex_v1.types.AspectType.MetadataTemplate):
+                Optional. If the type is array, set array_items. array_items
+                can refer to a primitive field or a complex (record only)
+                field. To specify a primitive field, you only need to set
+                name and type in the nested MetadataTemplate. The
+                recommended value for the name field is item, as this isn't
+                used in the actual payload.
+            type_id (str):
+                Optional. You can use type id if this
+                definition of the field needs to be reused
+                later. The type id must be unique across the
+                entire template. You can only specify it if the
+                field type is record.
+            type_ref (str):
+                Optional. A reference to another field
+                definition (not an inline definition). The value
+                must be equal to the value of an id field
+                defined elsewhere in the MetadataTemplate. Only
+                fields with record type can refer to other
+                fields.
+            constraints (google.cloud.dataplex_v1.types.AspectType.MetadataTemplate.Constraints):
+                Optional. Specifies the constraints on this
+                field.
+            annotations (google.cloud.dataplex_v1.types.AspectType.MetadataTemplate.Annotations):
+                Optional. Specifies annotations on this
+                field.
+        """
+
+        class EnumValue(proto.Message):
+            r"""Definition of Enumvalue, to be used for enum fields.
+
+            Attributes:
+                index (int):
+                    Required. Index for the enum value. It can't
+                    be modified.
+                name (str):
+                    Required. Name of the enumvalue. This is the
+                    actual value that the aspect can contain.
+                deprecated (str):
+                    Optional. You can set this message if you
+                    need to deprecate an enum value.
+            """
+
+            index: int = proto.Field(
+                proto.INT32,
+                number=1,
+            )
+            name: str = proto.Field(
+                proto.STRING,
+                number=2,
+            )
+            deprecated: str = proto.Field(
+                proto.STRING,
+                number=3,
+            )
+
+        class Constraints(proto.Message):
+            r"""Definition of the constraints of a field.
+
+            Attributes:
+                required (bool):
+                    Optional. Marks this field as optional or
+                    required.
+            """
+
+            required: bool = proto.Field(
+                proto.BOOL,
+                number=1,
+            )
+
+        class Annotations(proto.Message):
+            r"""Definition of the annotations of a field.
+
+            Attributes:
+                deprecated (str):
+                    Optional. Marks a field as deprecated. You
+                    can include a deprecation message.
+                display_name (str):
+                    Optional. Display name for a field.
+                description (str):
+                    Optional. Description for a field.
+                display_order (int):
+                    Optional. Display order for a field. You can
+                    use this to reorder where a field is rendered.
+                string_type (str):
+                    Optional. You can use String Type annotations to specify
+                    special meaning to string fields. The following values are
+                    supported:
+
+                    -  richText: The field must be interpreted as a rich text
+                       field.
+                    -  url: A fully qualified URL link.
+                    -  resource: A service qualified resource reference.
+                string_values (MutableSequence[str]):
+                    Optional. Suggested hints for string fields.
+                    You can use them to suggest values to users
+                    through console.
+            """
+
+            deprecated: str = proto.Field(
+                proto.STRING,
+                number=1,
+            )
+            display_name: str = proto.Field(
+                proto.STRING,
+                number=2,
+            )
+            description: str = proto.Field(
+                proto.STRING,
+                number=3,
+            )
+            display_order: int = proto.Field(
+                proto.INT32,
+                number=4,
+            )
+            string_type: str = proto.Field(
+                proto.STRING,
+                number=6,
+            )
+            string_values: MutableSequence[str] = proto.RepeatedField(
+                proto.STRING,
+                number=7,
+            )
+
+        index: int = proto.Field(
+            proto.INT32,
+            number=1,
+        )
+        name: str = proto.Field(
+            proto.STRING,
+            number=2,
+        )
+        type_: str = proto.Field(
+            proto.STRING,
+            number=5,
+        )
+        record_fields: MutableSequence['AspectType.MetadataTemplate'] = proto.RepeatedField(
+            proto.MESSAGE,
+            number=6,
+            message='AspectType.MetadataTemplate',
+        )
+        enum_values: MutableSequence['AspectType.MetadataTemplate.EnumValue'] = proto.RepeatedField(
+            proto.MESSAGE,
+            number=8,
+            message='AspectType.MetadataTemplate.EnumValue',
+        )
+        map_items: 'AspectType.MetadataTemplate' = proto.Field(
+            proto.MESSAGE,
+            number=10,
+            message='AspectType.MetadataTemplate',
+        )
+        array_items: 'AspectType.MetadataTemplate' = proto.Field(
+            proto.MESSAGE,
+            number=11,
+            message='AspectType.MetadataTemplate',
+        )
+        type_id: str = proto.Field(
+            proto.STRING,
+            number=12,
+        )
+        type_ref: str = proto.Field(
+            proto.STRING,
+            number=13,
+        )
+        constraints: 'AspectType.MetadataTemplate.Constraints' = proto.Field(
+            proto.MESSAGE,
+            number=50,
+            message='AspectType.MetadataTemplate.Constraints',
+        )
+        annotations: 'AspectType.MetadataTemplate.Annotations' = proto.Field(
+            proto.MESSAGE,
+            number=51,
+            message='AspectType.MetadataTemplate.Annotations',
+        )
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    uid: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+    create_time: timestamp_pb2.Timestamp = proto.Field(
+        proto.MESSAGE,
+        number=3,
+        message=timestamp_pb2.Timestamp,
+    )
+    update_time: timestamp_pb2.Timestamp = proto.Field(
+        proto.MESSAGE,
+        number=4,
+        message=timestamp_pb2.Timestamp,
+    )
+    description: str = proto.Field(
+        proto.STRING,
+        number=5,
+    )
+    display_name: str = proto.Field(
+        proto.STRING,
+        number=6,
+    )
+    labels: MutableMapping[str, str] = proto.MapField(
+        proto.STRING,
+        proto.STRING,
+        number=7,
+    )
+    etag: str = proto.Field(
+        proto.STRING,
+        number=8,
+    )
+    authorization: Authorization = proto.Field(
+        proto.MESSAGE,
+        number=52,
+        message=Authorization,
+    )
+    metadata_template: MetadataTemplate = proto.Field(
+        proto.MESSAGE,
+        number=53,
+        message=MetadataTemplate,
+    )
+    transfer_status: 'TransferStatus' = proto.Field(
+        proto.ENUM,
+        number=202,
+        enum='TransferStatus',
+    )
+
+
+class EntryGroup(proto.Message):
+    r"""An Entry Group represents a logical grouping of one or more
+    Entries.
+
+    Attributes:
+        name (str):
+            Output only. The relative resource name of the EntryGroup,
+            in the format
+            projects/{project_id_or_number}/locations/{location_id}/entryGroups/{entry_group_id}.
+        uid (str):
+            Output only. System generated globally unique
+            ID for the EntryGroup. If you delete and
+            recreate the EntryGroup with the same name, this
+            ID will be different.
+        create_time (google.protobuf.timestamp_pb2.Timestamp):
+            Output only. The time when the EntryGroup was
+            created.
+        update_time (google.protobuf.timestamp_pb2.Timestamp):
+            Output only. The time when the EntryGroup was
+            last updated.
+        description (str):
+            Optional. Description of the EntryGroup.
+        display_name (str):
+            Optional. User friendly display name.
+        labels (MutableMapping[str, str]):
+            Optional. User-defined labels for the
+            EntryGroup.
+        etag (str):
+            This checksum is computed by the service, and
+            might be sent on update and delete requests to
+            ensure the client has an up-to-date value before
+            proceeding.
+        transfer_status (google.cloud.dataplex_v1.types.TransferStatus):
+            Output only. Denotes the transfer status of
+            the Entry Group. It is unspecified for Entry
+            Group created from Dataplex API.
+    """
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    uid: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+    create_time: timestamp_pb2.Timestamp = proto.Field(
+        proto.MESSAGE,
+        number=3,
+        message=timestamp_pb2.Timestamp,
+    )
+    update_time: timestamp_pb2.Timestamp = proto.Field(
+        proto.MESSAGE,
+        number=4,
+        message=timestamp_pb2.Timestamp,
+    )
+    description: str = proto.Field(
+        proto.STRING,
+        number=5,
+    )
+    display_name: str = proto.Field(
+        proto.STRING,
+        number=6,
+    )
+    labels: MutableMapping[str, str] = proto.MapField(
+        proto.STRING,
+        proto.STRING,
+        number=7,
+    )
+    etag: str = proto.Field(
+        proto.STRING,
+        number=8,
+    )
+    transfer_status: 'TransferStatus' = proto.Field(
+        proto.ENUM,
+        number=202,
+        enum='TransferStatus',
+    )
+
+
+class EntryType(proto.Message):
+    r"""Entry Type is a template for creating Entries.
+
+    Attributes:
+        name (str):
+            Output only. The relative resource name of the EntryType, of
+            the form:
+            projects/{project_number}/locations/{location_id}/entryTypes/{entry_type_id}.
+        uid (str):
+            Output only. System generated globally unique
+            ID for the EntryType. This ID will be different
+            if the EntryType is deleted and re-created with
+            the same name.
+        create_time (google.protobuf.timestamp_pb2.Timestamp):
+            Output only. The time when the EntryType was
+            created.
+        update_time (google.protobuf.timestamp_pb2.Timestamp):
+            Output only. The time when the EntryType was
+            last updated.
+        description (str):
+            Optional. Description of the EntryType.
+        display_name (str):
+            Optional. User friendly display name.
+        labels (MutableMapping[str, str]):
+            Optional. User-defined labels for the
+            EntryType.
+        etag (str):
+            Optional. This checksum is computed by the
+            service, and might be sent on update and delete
+            requests to ensure the client has an up-to-date
+            value before proceeding.
+        type_aliases (MutableSequence[str]):
+            Optional. Indicates the classes this Entry
+            Type belongs to, for example, TABLE, DATABASE,
+            MODEL.
+        platform (str):
+            Optional. The platform that Entries of this
+            type belongs to.
+        system (str):
+            Optional. The system that Entries of this
+            type belongs to. Examples include CloudSQL,
+            MariaDB etc
+        required_aspects (MutableSequence[google.cloud.dataplex_v1.types.EntryType.AspectInfo]):
+            AspectInfo for the entry type.
+        authorization (google.cloud.dataplex_v1.types.EntryType.Authorization):
+            Immutable. Authorization defined for this
+            type.
+    """
+
+    class AspectInfo(proto.Message):
+        r"""
+
+        Attributes:
+            type_ (str):
+                Required aspect type for the entry type.
+        """
+
+        type_: str = proto.Field(
+            proto.STRING,
+            number=1,
+        )
+
+    class Authorization(proto.Message):
+        r"""Authorization for an Entry Type.
+
+        Attributes:
+            alternate_use_permission (str):
+                Immutable. The IAM permission grantable on
+                the Entry Group to allow access to instantiate
+                Entries of Dataplex owned Entry Types, only
+                settable for Dataplex owned Types.
+        """
+
+        alternate_use_permission: str = proto.Field(
+            proto.STRING,
+            number=1,
+        )
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    uid: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+    create_time: timestamp_pb2.Timestamp = proto.Field(
+        proto.MESSAGE,
+        number=3,
+        message=timestamp_pb2.Timestamp,
+    )
+    update_time: timestamp_pb2.Timestamp = proto.Field(
+        proto.MESSAGE,
+        number=4,
+        message=timestamp_pb2.Timestamp,
+    )
+    description: str = proto.Field(
+        proto.STRING,
+        number=5,
+    )
+    display_name: str = proto.Field(
+        proto.STRING,
+        number=6,
+    )
+    labels: MutableMapping[str, str] = proto.MapField(
+        proto.STRING,
+        proto.STRING,
+        number=7,
+    )
+    etag: str = proto.Field(
+        proto.STRING,
+        number=8,
+    )
+    type_aliases: MutableSequence[str] = proto.RepeatedField(
+        proto.STRING,
+        number=9,
+    )
+    platform: str = proto.Field(
+        proto.STRING,
+        number=10,
+    )
+    system: str = proto.Field(
+        proto.STRING,
+        number=11,
+    )
+    required_aspects: MutableSequence[AspectInfo] = proto.RepeatedField(
+        proto.MESSAGE,
+        number=50,
+        message=AspectInfo,
+    )
+    authorization: Authorization = proto.Field(
+        proto.MESSAGE,
+        number=51,
+        message=Authorization,
+    )
+
+
+class Aspect(proto.Message):
+    r"""An aspect is a single piece of metadata describing an entry.
+
+    Attributes:
+        aspect_type (str):
+            Output only. The resource name of the type
+            used to create this Aspect.
+        path (str):
+            Output only. The path in the entry under
+            which the aspect is attached.
+        create_time (google.protobuf.timestamp_pb2.Timestamp):
+            Output only. The time when the Aspect was
+            created.
+        update_time (google.protobuf.timestamp_pb2.Timestamp):
+            Output only. The time when the Aspect was
+            last updated.
+        data (google.protobuf.struct_pb2.Struct):
+            Required. The content of the aspect,
+            according to its aspect type schema. The maximum
+            size of the field is 120KB (encoded as UTF-8).
+        aspect_source (google.cloud.dataplex_v1.types.AspectSource):
+            Optional. Information related to the source
+            system of the aspect.
+    """
+
+    aspect_type: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    path: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+    create_time: timestamp_pb2.Timestamp = proto.Field(
+        proto.MESSAGE,
+        number=3,
+        message=timestamp_pb2.Timestamp,
+    )
+    update_time: timestamp_pb2.Timestamp = proto.Field(
+        proto.MESSAGE,
+        number=4,
+        message=timestamp_pb2.Timestamp,
+    )
+    data: struct_pb2.Struct = proto.Field(
+        proto.MESSAGE,
+        number=8,
+        message=struct_pb2.Struct,
+    )
+    aspect_source: 'AspectSource' = proto.Field(
+        proto.MESSAGE,
+        number=9,
+        message='AspectSource',
+    )
+
+
+class AspectSource(proto.Message):
+    r"""Information related to the source system of the aspect.
+
+    Attributes:
+        create_time (google.protobuf.timestamp_pb2.Timestamp):
+            The time the aspect was created in the source
+            system.
+        update_time (google.protobuf.timestamp_pb2.Timestamp):
+            The time the aspect was last updated in the
+            source system.
+        data_version (str):
+            The version of the data format used to
+            produce this data. This field is used to
+            indicated when the underlying data format
+            changes (e.g., schema modifications, changes to
+            the source URL format definition, etc).
+    """
+
+    create_time: timestamp_pb2.Timestamp = proto.Field(
+        proto.MESSAGE,
+        number=10,
+        message=timestamp_pb2.Timestamp,
+    )
+    update_time: timestamp_pb2.Timestamp = proto.Field(
+        proto.MESSAGE,
+        number=11,
+        message=timestamp_pb2.Timestamp,
+    )
+    data_version: str = proto.Field(
+        proto.STRING,
+        number=12,
+    )
+
+
+class Entry(proto.Message):
+    r"""An entry is a representation of a data resource that can be
+    described by various metadata.
+
+    Attributes:
+        name (str):
+            Identifier. The relative resource name of the entry, in the
+            format
+            ``projects/{project_id_or_number}/locations/{location_id}/entryGroups/{entry_group_id}/entries/{entry_id}``.
+        entry_type (str):
+            Required. Immutable. The relative resource name of the entry
+            type that was used to create this entry, in the format
+            ``projects/{project_id_or_number}/locations/{location_id}/entryTypes/{entry_type_id}``.
+        create_time (google.protobuf.timestamp_pb2.Timestamp):
+            Output only. The time when the entry was
+            created in Dataplex.
+        update_time (google.protobuf.timestamp_pb2.Timestamp):
+            Output only. The time when the entry was last
+            updated in Dataplex.
+        aspects (MutableMapping[str, google.cloud.dataplex_v1.types.Aspect]):
+            Optional. The aspects that are attached to the entry.
+            Depending on how the aspect is attached to the entry, the
+            format of the aspect key can be one of the following:
+
+            -  If the aspect is attached directly to the entry:
+               ``{project_id_or_number}.{location_id}.{aspect_type_id}``
+            -  If the aspect is attached to an entry's path:
+               ``{project_id_or_number}.{location_id}.{aspect_type_id}@{path}``
+        parent_entry (str):
+            Optional. Immutable. The resource name of the
+            parent entry.
+        fully_qualified_name (str):
+            Optional. A name for the entry that can be referenced by an
+            external system. For more information, see `Fully qualified
+            names <https://cloud.google.com/data-catalog/docs/fully-qualified-names>`__.
+            The maximum size of the field is 4000 characters.
+        entry_source (google.cloud.dataplex_v1.types.EntrySource):
+            Optional. Information related to the source
+            system of the data resource that is represented
+            by the entry.
+    """
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    entry_type: str = proto.Field(
+        proto.STRING,
+        number=4,
+    )
+    create_time: timestamp_pb2.Timestamp = proto.Field(
+        proto.MESSAGE,
+        number=5,
+        message=timestamp_pb2.Timestamp,
+    )
+    update_time: timestamp_pb2.Timestamp = proto.Field(
+        proto.MESSAGE,
+        number=6,
+        message=timestamp_pb2.Timestamp,
+    )
+    aspects: MutableMapping[str, 'Aspect'] = proto.MapField(
+        proto.STRING,
+        proto.MESSAGE,
+        number=9,
+        message='Aspect',
+    )
+    parent_entry: str = proto.Field(
+        proto.STRING,
+        number=10,
+    )
+    fully_qualified_name: str = proto.Field(
+        proto.STRING,
+        number=12,
+    )
+    entry_source: 'EntrySource' = proto.Field(
+        proto.MESSAGE,
+        number=15,
+        message='EntrySource',
+    )
+
+
+class EntrySource(proto.Message):
+    r"""Information related to the source system of the data resource
+    that is represented by the entry.
+
+    Attributes:
+        resource (str):
+            The name of the resource in the source
+            system. Maximum length is 4,000 characters.
+        system (str):
+            The name of the source system.
+            Maximum length is 64 characters.
+        platform (str):
+            The platform containing the source system.
+            Maximum length is 64 characters.
+        display_name (str):
+            A user-friendly display name.
+            Maximum length is 500 characters.
+        description (str):
+            A description of the data resource.
+            Maximum length is 2,000 characters.
+        labels (MutableMapping[str, str]):
+            User-defined labels.
+            The maximum size of keys and values is 128
+            characters each.
+        ancestors (MutableSequence[google.cloud.dataplex_v1.types.EntrySource.Ancestor]):
+            Immutable. The entries representing the
+            ancestors of the data resource in the source
+            system.
+        create_time (google.protobuf.timestamp_pb2.Timestamp):
+            The time when the resource was created in the
+            source system.
+        update_time (google.protobuf.timestamp_pb2.Timestamp):
+            The time when the resource was last updated in the source
+            system. If the entry exists in the system and its
+            ``EntrySource`` has ``update_time`` populated, further
+            updates to the ``EntrySource`` of the entry must provide
+            incremental updates to its ``update_time``.
+        location (str):
+            Output only. Location of the resource in the
+            source system. You can search the entry by this
+            location. By default, this should match the
+            location of the entry group containing this
+            entry. A different value allows capturing the
+            source location for data external to Google
+            Cloud.
+    """
+
+    class Ancestor(proto.Message):
+        r"""Information about individual items in the hierarchy that is
+        associated with the data resource.
+
+        Attributes:
+            name (str):
+                Optional. The name of the ancestor resource.
+            type_ (str):
+                Optional. The type of the ancestor resource.
+        """
+
+        name: str = proto.Field(
+            proto.STRING,
+            number=1,
+        )
+        type_: str = proto.Field(
+            proto.STRING,
+            number=2,
+        )
+
+    resource: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    system: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+    platform: str = proto.Field(
+        proto.STRING,
+        number=3,
+    )
+    display_name: str = proto.Field(
+        proto.STRING,
+        number=5,
+    )
+    description: str = proto.Field(
+        proto.STRING,
+        number=6,
+    )
+    labels: MutableMapping[str, str] = proto.MapField(
+        proto.STRING,
+        proto.STRING,
+        number=7,
+    )
+    ancestors: MutableSequence[Ancestor] = proto.RepeatedField(
+        proto.MESSAGE,
+        number=9,
+        message=Ancestor,
+    )
+    create_time: timestamp_pb2.Timestamp = proto.Field(
+        proto.MESSAGE,
+        number=10,
+        message=timestamp_pb2.Timestamp,
+    )
+    update_time: timestamp_pb2.Timestamp = proto.Field(
+        proto.MESSAGE,
+        number=11,
+        message=timestamp_pb2.Timestamp,
+    )
+    location: str = proto.Field(
+        proto.STRING,
+        number=12,
+    )
+
+
+class CreateEntryGroupRequest(proto.Message):
+    r"""Create EntryGroup Request.
+
+    Attributes:
+        parent (str):
+            Required. The resource name of the entryGroup, of the form:
+            projects/{project_number}/locations/{location_id} where
+            ``location_id`` refers to a GCP region.
+        entry_group_id (str):
+            Required. EntryGroup identifier.
+        entry_group (google.cloud.dataplex_v1.types.EntryGroup):
+            Required. EntryGroup Resource.
+        validate_only (bool):
+            Optional. The service validates the request
+            without performing any mutations. The default is
+            false.
+    """
+
+    parent: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    entry_group_id: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+    entry_group: 'EntryGroup' = proto.Field(
+        proto.MESSAGE,
+        number=3,
+        message='EntryGroup',
+    )
+    validate_only: bool = proto.Field(
+        proto.BOOL,
+        number=4,
+    )
+
+
+class UpdateEntryGroupRequest(proto.Message):
+    r"""Update EntryGroup Request.
+
+    Attributes:
+        entry_group (google.cloud.dataplex_v1.types.EntryGroup):
+            Required. EntryGroup Resource.
+        update_mask (google.protobuf.field_mask_pb2.FieldMask):
+            Required. Mask of fields to update.
+        validate_only (bool):
+            Optional. The service validates the request,
+            without performing any mutations. The default is
+            false.
+    """
+
+    entry_group: 'EntryGroup' = proto.Field(
+        proto.MESSAGE,
+        number=1,
+        message='EntryGroup',
+    )
+    update_mask: field_mask_pb2.FieldMask = proto.Field(
+        proto.MESSAGE,
+        number=2,
+        message=field_mask_pb2.FieldMask,
+    )
+    validate_only: bool = proto.Field(
+        proto.BOOL,
+        number=3,
+    )
+
+
+class DeleteEntryGroupRequest(proto.Message):
+    r"""Delete EntryGroup Request.
+
+    Attributes:
+        name (str):
+            Required. The resource name of the EntryGroup:
+            ``projects/{project_number}/locations/{location_id}/entryGroups/{entry_group_id}``.
+        etag (str):
+            Optional. If the client provided etag value
+            does not match the current etag value, the
+            DeleteEntryGroupRequest method returns an
+            ABORTED error response.
+    """
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    etag: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+
+
+class ListEntryGroupsRequest(proto.Message):
+    r"""List entryGroups request.
+
+    Attributes:
+        parent (str):
+            Required. The resource name of the entryGroup location, of
+            the form:
+            ``projects/{project_number}/locations/{location_id}`` where
+            ``location_id`` refers to a Google Cloud region.
+        page_size (int):
+            Optional. Maximum number of EntryGroups to
+            return. The service may return fewer than this
+            value. If unspecified, the service returns at
+            most 10 EntryGroups. The maximum value is 1000;
+            values above 1000 will be coerced to 1000.
+        page_token (str):
+            Optional. Page token received from a previous
+            ``ListEntryGroups`` call. Provide this to retrieve the
+            subsequent page. When paginating, all other parameters you
+            provide to ``ListEntryGroups`` must match the call that
+            provided the page token.
+        filter (str):
+            Optional. Filter request.
+        order_by (str):
+            Optional. Order by fields for the result.
+    """
+
+    parent: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    page_size: int = proto.Field(
+        proto.INT32,
+        number=2,
+    )
+    page_token: str = proto.Field(
+        proto.STRING,
+        number=3,
+    )
+    filter: str = proto.Field(
+        proto.STRING,
+        number=4,
+    )
+    order_by: str = proto.Field(
+        proto.STRING,
+        number=5,
+    )
+
+
+class ListEntryGroupsResponse(proto.Message):
+    r"""List entry groups response.
+
+    Attributes:
+        entry_groups (MutableSequence[google.cloud.dataplex_v1.types.EntryGroup]):
+            Entry groups under the given parent location.
+        next_page_token (str):
+            Token to retrieve the next page of results,
+            or empty if there are no more results in the
+            list.
+        unreachable_locations (MutableSequence[str]):
+            Locations that the service couldn't reach.
+    """
+
+    @property
+    def raw_page(self):
+        return self
+
+    entry_groups: MutableSequence['EntryGroup'] = proto.RepeatedField(
+        proto.MESSAGE,
+        number=1,
+        message='EntryGroup',
+    )
+    next_page_token: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+    unreachable_locations: MutableSequence[str] = proto.RepeatedField(
+        proto.STRING,
+        number=3,
+    )
+
+
+class GetEntryGroupRequest(proto.Message):
+    r"""Get EntryGroup request.
+
+    Attributes:
+        name (str):
+            Required. The resource name of the EntryGroup:
+            ``projects/{project_number}/locations/{location_id}/entryGroups/{entry_group_id}``.
+    """
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+
+
+class CreateEntryTypeRequest(proto.Message):
+    r"""Create EntryType Request.
+
+    Attributes:
+        parent (str):
+            Required. The resource name of the EntryType, of the form:
+            projects/{project_number}/locations/{location_id} where
+            ``location_id`` refers to a Google Cloud region.
+        entry_type_id (str):
+            Required. EntryType identifier.
+        entry_type (google.cloud.dataplex_v1.types.EntryType):
+            Required. EntryType Resource.
+        validate_only (bool):
+            Optional. The service validates the request
+            without performing any mutations. The default is
+            false.
+    """
+
+    parent: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    entry_type_id: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+    entry_type: 'EntryType' = proto.Field(
+        proto.MESSAGE,
+        number=3,
+        message='EntryType',
+    )
+    validate_only: bool = proto.Field(
+        proto.BOOL,
+        number=4,
+    )
+
+
+class UpdateEntryTypeRequest(proto.Message):
+    r"""Update EntryType Request.
+
+    Attributes:
+        entry_type (google.cloud.dataplex_v1.types.EntryType):
+            Required. EntryType Resource.
+        update_mask (google.protobuf.field_mask_pb2.FieldMask):
+            Required. Mask of fields to update.
+        validate_only (bool):
+            Optional. The service validates the request
+            without performing any mutations. The default is
+            false.
+    """
+
+    entry_type: 'EntryType' = proto.Field(
+        proto.MESSAGE,
+        number=1,
+        message='EntryType',
+    )
+    update_mask: field_mask_pb2.FieldMask = proto.Field(
+        proto.MESSAGE,
+        number=2,
+        message=field_mask_pb2.FieldMask,
+    )
+    validate_only: bool = proto.Field(
+        proto.BOOL,
+        number=3,
+    )
+
+
+class DeleteEntryTypeRequest(proto.Message):
+    r"""Delele EntryType Request.
+
+    Attributes:
+        name (str):
+            Required. The resource name of the EntryType:
+            ``projects/{project_number}/locations/{location_id}/entryTypes/{entry_type_id}``.
+        etag (str):
+            Optional. If the client provided etag value
+            does not match the current etag value, the
+            DeleteEntryTypeRequest method returns an ABORTED
+            error response.
+    """
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    etag: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+
+
+class ListEntryTypesRequest(proto.Message):
+    r"""List EntryTypes request
+
+    Attributes:
+        parent (str):
+            Required. The resource name of the EntryType location, of
+            the form:
+            ``projects/{project_number}/locations/{location_id}`` where
+            ``location_id`` refers to a Google Cloud region.
+        page_size (int):
+            Optional. Maximum number of EntryTypes to
+            return. The service may return fewer than this
+            value. If unspecified, the service returns at
+            most 10 EntryTypes. The maximum value is 1000;
+            values above 1000 will be coerced to 1000.
+        page_token (str):
+            Optional. Page token received from a previous
+            ``ListEntryTypes`` call. Provide this to retrieve the
+            subsequent page. When paginating, all other parameters you
+            provided to ``ListEntryTypes`` must match the call that
+            provided the page token.
+        filter (str):
+            Optional. Filter request. Filters are case-sensitive. The
+            service supports the following formats:
+
+            -  labels.key1 = "value1"
+            -  labels:key1
+            -  name = "value"
+
+            These restrictions can be conjoined with AND, OR, and NOT
+            conjunctions.
+        order_by (str):
+            Optional. Orders the result by ``name`` or ``create_time``
+            fields. If not specified, the ordering is undefined.
+    """
+
+    parent: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    page_size: int = proto.Field(
+        proto.INT32,
+        number=2,
+    )
+    page_token: str = proto.Field(
+        proto.STRING,
+        number=3,
+    )
+    filter: str = proto.Field(
+        proto.STRING,
+        number=4,
+    )
+    order_by: str = proto.Field(
+        proto.STRING,
+        number=5,
+    )
+
+
+class ListEntryTypesResponse(proto.Message):
+    r"""List EntryTypes response.
+
+    Attributes:
+        entry_types (MutableSequence[google.cloud.dataplex_v1.types.EntryType]):
+            EntryTypes under the given parent location.
+        next_page_token (str):
+            Token to retrieve the next page of results,
+            or empty if there are no more results in the
+            list.
+        unreachable_locations (MutableSequence[str]):
+            Locations that the service couldn't reach.
+    """
+
+    @property
+    def raw_page(self):
+        return self
+
+    entry_types: MutableSequence['EntryType'] = proto.RepeatedField(
+        proto.MESSAGE,
+        number=1,
+        message='EntryType',
+    )
+    next_page_token: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+    unreachable_locations: MutableSequence[str] = proto.RepeatedField(
+        proto.STRING,
+        number=3,
+    )
+
+
+class GetEntryTypeRequest(proto.Message):
+    r"""Get EntryType request.
+
+    Attributes:
+        name (str):
+            Required. The resource name of the EntryType:
+            ``projects/{project_number}/locations/{location_id}/entryTypes/{entry_type_id}``.
+    """
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+
+
+class CreateAspectTypeRequest(proto.Message):
+    r"""Create AspectType Request.
+
+    Attributes:
+        parent (str):
+            Required. The resource name of the AspectType, of the form:
+            projects/{project_number}/locations/{location_id} where
+            ``location_id`` refers to a Google Cloud region.
+        aspect_type_id (str):
+            Required. AspectType identifier.
+        aspect_type (google.cloud.dataplex_v1.types.AspectType):
+            Required. AspectType Resource.
+        validate_only (bool):
+            Optional. The service validates the request
+            without performing any mutations. The default is
+            false.
+    """
+
+    parent: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    aspect_type_id: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+    aspect_type: 'AspectType' = proto.Field(
+        proto.MESSAGE,
+        number=3,
+        message='AspectType',
+    )
+    validate_only: bool = proto.Field(
+        proto.BOOL,
+        number=4,
+    )
+
+
+class UpdateAspectTypeRequest(proto.Message):
+    r"""Update AspectType Request
+
+    Attributes:
+        aspect_type (google.cloud.dataplex_v1.types.AspectType):
+            Required. AspectType Resource
+        update_mask (google.protobuf.field_mask_pb2.FieldMask):
+            Required. Mask of fields to update.
+        validate_only (bool):
+            Optional. Only validate the request, but do
+            not perform mutations. The default is false.
+    """
+
+    aspect_type: 'AspectType' = proto.Field(
+        proto.MESSAGE,
+        number=1,
+        message='AspectType',
+    )
+    update_mask: field_mask_pb2.FieldMask = proto.Field(
+        proto.MESSAGE,
+        number=2,
+        message=field_mask_pb2.FieldMask,
+    )
+    validate_only: bool = proto.Field(
+        proto.BOOL,
+        number=3,
+    )
+
+
+class DeleteAspectTypeRequest(proto.Message):
+    r"""Delele AspectType Request.
+
+    Attributes:
+        name (str):
+            Required. The resource name of the AspectType:
+            ``projects/{project_number}/locations/{location_id}/aspectTypes/{aspect_type_id}``.
+        etag (str):
+            Optional. If the client provided etag value
+            does not match the current etag value, the
+            DeleteAspectTypeRequest method returns an
+            ABORTED error response.
+    """
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    etag: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+
+
+class ListAspectTypesRequest(proto.Message):
+    r"""List AspectTypes request.
+
+    Attributes:
+        parent (str):
+            Required. The resource name of the AspectType location, of
+            the form:
+            ``projects/{project_number}/locations/{location_id}`` where
+            ``location_id`` refers to a Google Cloud region.
+        page_size (int):
+            Optional. Maximum number of AspectTypes to
+            return. The service may return fewer than this
+            value. If unspecified, the service returns at
+            most 10 AspectTypes. The maximum value is 1000;
+            values above 1000 will be coerced to 1000.
+        page_token (str):
+            Optional. Page token received from a previous
+            ``ListAspectTypes`` call. Provide this to retrieve the
+            subsequent page. When paginating, all other parameters you
+            provide to ``ListAspectTypes`` must match the call that
+            provided the page token.
+        filter (str):
+            Optional. Filter request. Filters are case-sensitive. The
+            service supports the following formats:
+
+            -  labels.key1 = "value1"
+            -  labels:key1
+            -  name = "value"
+
+            These restrictions can be conjoined with AND, OR, and NOT
+            conjunctions.
+        order_by (str):
+            Optional. Orders the result by ``name`` or ``create_time``
+            fields. If not specified, the ordering is undefined.
+    """
+
+    parent: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    page_size: int = proto.Field(
+        proto.INT32,
+        number=2,
+    )
+    page_token: str = proto.Field(
+        proto.STRING,
+        number=3,
+    )
+    filter: str = proto.Field(
+        proto.STRING,
+        number=4,
+    )
+    order_by: str = proto.Field(
+        proto.STRING,
+        number=5,
+    )
+
+
+class ListAspectTypesResponse(proto.Message):
+    r"""List AspectTypes response.
+
+    Attributes:
+        aspect_types (MutableSequence[google.cloud.dataplex_v1.types.AspectType]):
+            AspectTypes under the given parent location.
+        next_page_token (str):
+            Token to retrieve the next page of results,
+            or empty if there are no more results in the
+            list.
+        unreachable_locations (MutableSequence[str]):
+            Locations that the service couldn't reach.
+    """
+
+    @property
+    def raw_page(self):
+        return self
+
+    aspect_types: MutableSequence['AspectType'] = proto.RepeatedField(
+        proto.MESSAGE,
+        number=1,
+        message='AspectType',
+    )
+    next_page_token: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+    unreachable_locations: MutableSequence[str] = proto.RepeatedField(
+        proto.STRING,
+        number=3,
+    )
+
+
+class GetAspectTypeRequest(proto.Message):
+    r"""Get AspectType request.
+
+    Attributes:
+        name (str):
+            Required. The resource name of the AspectType:
+            ``projects/{project_number}/locations/{location_id}/aspectTypes/{aspect_type_id}``.
+    """
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+
+
+class CreateEntryRequest(proto.Message):
+    r"""Create Entry request.
+
+    Attributes:
+        parent (str):
+            Required. The resource name of the parent Entry Group:
+            ``projects/{project}/locations/{location}/entryGroups/{entry_group}``.
+        entry_id (str):
+            Required. Entry identifier. It has to be unique within an
+            Entry Group.
+
+            Entries corresponding to Google Cloud resources use an Entry
+            ID format based on `full resource
+            names <https://cloud.google.com/apis/design/resource_names#full_resource_name>`__.
+            The format is a full resource name of the resource without
+            the prefix double slashes in the API service name part of
+            the full resource name. This allows retrieval of entries
+            using their associated resource name.
+
+            For example, if the full resource name of a resource is
+            ``//library.googleapis.com/shelves/shelf1/books/book2``,
+            then the suggested entry_id is
+            ``library.googleapis.com/shelves/shelf1/books/book2``.
+
+            It is also suggested to follow the same convention for
+            entries corresponding to resources from providers or systems
+            other than Google Cloud.
+
+            The maximum size of the field is 4000 characters.
+        entry (google.cloud.dataplex_v1.types.Entry):
+            Required. Entry resource.
+    """
+
+    parent: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    entry_id: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+    entry: 'Entry' = proto.Field(
+        proto.MESSAGE,
+        number=3,
+        message='Entry',
+    )
+
+
+class UpdateEntryRequest(proto.Message):
+    r"""Update Entry request.
+
+    Attributes:
+        entry (google.cloud.dataplex_v1.types.Entry):
+            Required. Entry resource.
+        update_mask (google.protobuf.field_mask_pb2.FieldMask):
+            Optional. Mask of fields to update. To update Aspects, the
+            update_mask must contain the value "aspects".
+
+            If the update_mask is empty, the service will update all
+            modifiable fields present in the request.
+        allow_missing (bool):
+            Optional. If set to true and the entry
+            doesn't exist, the service will create it.
+        delete_missing_aspects (bool):
+            Optional. If set to true and the aspect_keys specify aspect
+            ranges, the service deletes any existing aspects from that
+            range that weren't provided in the request.
+        aspect_keys (MutableSequence[str]):
+            Optional. The map keys of the Aspects which the service
+            should modify. It supports the following syntaxes:
+
+            -  ``<aspect_type_reference>`` - matches an aspect of the
+               given type and empty path.
+            -  ``<aspect_type_reference>@path`` - matches an aspect of
+               the given type and specified path. For example, to attach
+               an aspect to a field that is specified by the ``schema``
+               aspect, the path should have the format
+               ``Schema.<field_name>``.
+            -  ``<aspect_type_reference>*`` - matches aspects of the
+               given type for all paths.
+            -  ``*@path`` - matches aspects of all types on the given
+               path.
+
+            The service will not remove existing aspects matching the
+            syntax unless ``delete_missing_aspects`` is set to true.
+
+            If this field is left empty, the service treats it as
+            specifying exactly those Aspects present in the request.
+    """
+
+    entry: 'Entry' = proto.Field(
+        proto.MESSAGE,
+        number=1,
+        message='Entry',
+    )
+    update_mask: field_mask_pb2.FieldMask = proto.Field(
+        proto.MESSAGE,
+        number=2,
+        message=field_mask_pb2.FieldMask,
+    )
+    allow_missing: bool = proto.Field(
+        proto.BOOL,
+        number=3,
+    )
+    delete_missing_aspects: bool = proto.Field(
+        proto.BOOL,
+        number=4,
+    )
+    aspect_keys: MutableSequence[str] = proto.RepeatedField(
+        proto.STRING,
+        number=5,
+    )
+
+
+class DeleteEntryRequest(proto.Message):
+    r"""Delete Entry request.
+
+    Attributes:
+        name (str):
+            Required. The resource name of the Entry:
+            ``projects/{project}/locations/{location}/entryGroups/{entry_group}/entries/{entry}``.
+    """
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+
+
+class ListEntriesRequest(proto.Message):
+    r"""List Entries request.
+
+    Attributes:
+        parent (str):
+            Required. The resource name of the parent Entry Group:
+            ``projects/{project}/locations/{location}/entryGroups/{entry_group}``.
+        page_size (int):
+            Optional. Number of items to return per page. If there are
+            remaining results, the service returns a next_page_token. If
+            unspecified, the service returns at most 10 Entries. The
+            maximum value is 100; values above 100 will be coerced to
+            100.
+        page_token (str):
+            Optional. Page token received from a previous
+            ``ListEntries`` call. Provide this to retrieve the
+            subsequent page.
+        filter (str):
+            Optional. A filter on the entries to return. Filters are
+            case-sensitive. You can filter the request by the following
+            fields:
+
+            -  entry_type
+            -  entry_source.display_name
+
+            The comparison operators are =, !=, <, >, <=, >=. The
+            service compares strings according to lexical order.
+
+            You can use the logical operators AND, OR, NOT in the
+            filter.
+
+            You can use Wildcard "*", but for entry_type you need to
+            provide the full project id or number.
+
+            Example filter expressions:
+
+            -  "entry_source.display_name=AnExampleDisplayName"
+            -  "entry_type=projects/example-project/locations/global/entryTypes/example-entry_type"
+            -  "entry_type=projects/example-project/locations/us/entryTypes/a\*
+               OR entry_type=projects/another-project/locations/*"
+            -  "NOT entry_source.display_name=AnotherExampleDisplayName".
+    """
+
+    parent: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    page_size: int = proto.Field(
+        proto.INT32,
+        number=2,
+    )
+    page_token: str = proto.Field(
+        proto.STRING,
+        number=3,
+    )
+    filter: str = proto.Field(
+        proto.STRING,
+        number=4,
+    )
+
+
+class ListEntriesResponse(proto.Message):
+    r"""List Entries response.
+
+    Attributes:
+        entries (MutableSequence[google.cloud.dataplex_v1.types.Entry]):
+            The list of entries under the given parent
+            location.
+        next_page_token (str):
+            Token to retrieve the next page of results,
+            or empty if there are no more results in the
+            list.
+    """
+
+    @property
+    def raw_page(self):
+        return self
+
+    entries: MutableSequence['Entry'] = proto.RepeatedField(
+        proto.MESSAGE,
+        number=1,
+        message='Entry',
+    )
+    next_page_token: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+
+
+class GetEntryRequest(proto.Message):
+    r"""Get Entry request.
+
+    Attributes:
+        name (str):
+            Required. The resource name of the Entry:
+            ``projects/{project}/locations/{location}/entryGroups/{entry_group}/entries/{entry}``.
+        view (google.cloud.dataplex_v1.types.EntryView):
+            Optional. View to control which parts of an
+            entry the service should return.
+        aspect_types (MutableSequence[str]):
+            Optional. Limits the aspects returned to the
+            provided aspect types. It only works for CUSTOM
+            view.
+        paths (MutableSequence[str]):
+            Optional. Limits the aspects returned to
+            those associated with the provided paths within
+            the Entry. It only works for CUSTOM view.
+    """
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    view: 'EntryView' = proto.Field(
+        proto.ENUM,
+        number=2,
+        enum='EntryView',
+    )
+    aspect_types: MutableSequence[str] = proto.RepeatedField(
+        proto.STRING,
+        number=3,
+    )
+    paths: MutableSequence[str] = proto.RepeatedField(
+        proto.STRING,
+        number=4,
+    )
+
+
+class LookupEntryRequest(proto.Message):
+    r"""Lookup Entry request using permissions in the source system.
+
+    Attributes:
+        name (str):
+            Required. The project to which the request should be
+            attributed in the following form:
+            ``projects/{project}/locations/{location}``.
+        view (google.cloud.dataplex_v1.types.EntryView):
+            Optional. View to control which parts of an
+            entry the service should return.
+        aspect_types (MutableSequence[str]):
+            Optional. Limits the aspects returned to the
+            provided aspect types. It only works for CUSTOM
+            view.
+        paths (MutableSequence[str]):
+            Optional. Limits the aspects returned to
+            those associated with the provided paths within
+            the Entry. It only works for CUSTOM view.
+        entry (str):
+            Required. The resource name of the Entry:
+            ``projects/{project}/locations/{location}/entryGroups/{entry_group}/entries/{entry}``.
+    """
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    view: 'EntryView' = proto.Field(
+        proto.ENUM,
+        number=2,
+        enum='EntryView',
+    )
+    aspect_types: MutableSequence[str] = proto.RepeatedField(
+        proto.STRING,
+        number=3,
+    )
+    paths: MutableSequence[str] = proto.RepeatedField(
+        proto.STRING,
+        number=4,
+    )
+    entry: str = proto.Field(
+        proto.STRING,
+        number=5,
+    )
+
+
+class SearchEntriesRequest(proto.Message):
+    r"""
+
+    Attributes:
+        name (str):
+            Required. The project to which the request should be
+            attributed in the following form:
+            ``projects/{project}/locations/{location}``.
+        query (str):
+            Required. The query against which entries in
+            scope should be matched.
+        page_size (int):
+            Optional. Number of results in the search page. If <=0, then
+            defaults to 10. Max limit for page_size is 1000. Throws an
+            invalid argument for page_size > 1000.
+        page_token (str):
+            Optional. Page token received from a previous
+            ``SearchEntries`` call. Provide this to retrieve the
+            subsequent page.
+        order_by (str):
+            Optional. Specifies the ordering of results.
+        scope (str):
+            Optional. The scope under which the search should be
+            operating. It must either be ``organizations/<org_id>`` or
+            ``projects/<project_ref>``. If it is unspecified, it
+            defaults to the organization where the project provided in
+            ``name`` is located.
+    """
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    query: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+    page_size: int = proto.Field(
+        proto.INT32,
+        number=3,
+    )
+    page_token: str = proto.Field(
+        proto.STRING,
+        number=4,
+    )
+    order_by: str = proto.Field(
+        proto.STRING,
+        number=5,
+    )
+    scope: str = proto.Field(
+        proto.STRING,
+        number=7,
+    )
+
+
+class SearchEntriesResult(proto.Message):
+    r"""A single result of a SearchEntries request.
+
+    Attributes:
+        linked_resource (str):
+            Linked resource name.
+        dataplex_entry (google.cloud.dataplex_v1.types.Entry):
+
+        snippets (google.cloud.dataplex_v1.types.SearchEntriesResult.Snippets):
+            Snippets.
+    """
+
+    class Snippets(proto.Message):
+        r"""Snippets for the entry, contains HTML-style highlighting for
+        matched tokens, will be used in UI.
+
+        Attributes:
+            dataplex_entry (google.cloud.dataplex_v1.types.Entry):
+                Entry
+        """
+
+        dataplex_entry: 'Entry' = proto.Field(
+            proto.MESSAGE,
+            number=1,
+            message='Entry',
+        )
+
+    linked_resource: str = proto.Field(
+        proto.STRING,
+        number=8,
+    )
+    dataplex_entry: 'Entry' = proto.Field(
+        proto.MESSAGE,
+        number=9,
+        message='Entry',
+    )
+    snippets: Snippets = proto.Field(
+        proto.MESSAGE,
+        number=12,
+        message=Snippets,
+    )
+
+
+class SearchEntriesResponse(proto.Message):
+    r"""
+
+    Attributes:
+        results (MutableSequence[google.cloud.dataplex_v1.types.SearchEntriesResult]):
+            The results matching the search query.
+        total_size (int):
+            The estimated total number of matching
+            entries. This number isn't guaranteed to be
+            accurate.
+        next_page_token (str):
+            Token to retrieve the next page of results,
+            or empty if there are no more results in the
+            list.
+        unreachable (MutableSequence[str]):
+            Locations that the service couldn't reach.
+            Search results don't include data from these
+            locations.
+    """
+
+    @property
+    def raw_page(self):
+        return self
+
+    results: MutableSequence['SearchEntriesResult'] = proto.RepeatedField(
+        proto.MESSAGE,
+        number=1,
+        message='SearchEntriesResult',
+    )
+    total_size: int = proto.Field(
+        proto.INT32,
+        number=2,
+    )
+    next_page_token: str = proto.Field(
+        proto.STRING,
+        number=3,
+    )
+    unreachable: MutableSequence[str] = proto.RepeatedField(
+        proto.STRING,
+        number=4,
+    )
+
+
+class ImportItem(proto.Message):
+    r"""An object that describes the values that you want to set for an
+    entry and its attached aspects when you import metadata. Used when
+    you run a metadata import job. See
+    [CreateMetadataJob][google.cloud.dataplex.v1.CatalogService.CreateMetadataJob].
+
+    You provide a collection of import items in a metadata import file.
+    For more information about how to create a metadata import file, see
+    `Metadata import
+    file <https://cloud.google.com/dataplex/docs/import-metadata#metadata-import-file>`__.
+
+    Attributes:
+        entry (google.cloud.dataplex_v1.types.Entry):
+            Information about an entry and its attached
+            aspects.
+        update_mask (google.protobuf.field_mask_pb2.FieldMask):
+            The fields to update, in paths that are relative to the
+            ``Entry`` resource. Separate each field with a comma.
+
+            In ``FULL`` entry sync mode, Dataplex includes the paths of
+            all of the fields for an entry that can be modified,
+            including aspects. This means that Dataplex replaces the
+            existing entry with the entry in the metadata import file.
+            All modifiable fields are updated, regardless of the fields
+            that are listed in the update mask, and regardless of
+            whether a field is present in the ``entry`` object.
+
+            The ``update_mask`` field is ignored when an entry is
+            created or re-created.
+
+            Dataplex also determines which entries and aspects to modify
+            by comparing the values and timestamps that you provide in
+            the metadata import file with the values and timestamps that
+            exist in your project. For more information, see `Comparison
+            logic <https://cloud.google.com/dataplex/docs/import-metadata#data-modification-logic>`__.
+        aspect_keys (MutableSequence[str]):
+            The aspects to modify. Supports the following syntaxes:
+
+            -  ``{aspect_type_reference}``: matches aspects that belong
+               to the specified aspect type and are attached directly to
+               the entry.
+            -  ``{aspect_type_reference}@{path}``: matches aspects that
+               belong to the specified aspect type and path.
+            -  ``{aspect_type_reference}@*``: matches aspects that
+               belong to the specified aspect type for all paths.
+
+            Replace ``{aspect_type_reference}`` with a reference to the
+            aspect type, in the format
+            ``{project_id_or_number}.{location_id}.{aspect_type_id}``.
+
+            If you leave this field empty, it is treated as specifying
+            exactly those aspects that are present within the specified
+            entry.
+
+            In ``FULL`` entry sync mode, Dataplex implicitly adds the
+            keys for all of the required aspects of an entry.
+    """
+
+    entry: 'Entry' = proto.Field(
+        proto.MESSAGE,
+        number=1,
+        message='Entry',
+    )
+    update_mask: field_mask_pb2.FieldMask = proto.Field(
+        proto.MESSAGE,
+        number=2,
+        message=field_mask_pb2.FieldMask,
+    )
+    aspect_keys: MutableSequence[str] = proto.RepeatedField(
+        proto.STRING,
+        number=3,
+    )
+
+
+class CreateMetadataJobRequest(proto.Message):
+    r"""Create metadata job request.
+
+    Attributes:
+        parent (str):
+            Required. The resource name of the parent location, in the
+            format
+            ``projects/{project_id_or_number}/locations/{location_id}``
+        metadata_job (google.cloud.dataplex_v1.types.MetadataJob):
+            Required. The metadata job resource.
+        metadata_job_id (str):
+            Optional. The metadata job ID. If not provided, a unique ID
+            is generated with the prefix ``metadata-job-``.
+        validate_only (bool):
+            Optional. The service validates the request
+            without performing any mutations. The default is
+            false.
+    """
+
+    parent: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    metadata_job: 'MetadataJob' = proto.Field(
+        proto.MESSAGE,
+        number=2,
+        message='MetadataJob',
+    )
+    metadata_job_id: str = proto.Field(
+        proto.STRING,
+        number=3,
+    )
+    validate_only: bool = proto.Field(
+        proto.BOOL,
+        number=4,
+    )
+
+
+class GetMetadataJobRequest(proto.Message):
+    r"""Get metadata job request.
+
+    Attributes:
+        name (str):
+            Required. The resource name of the metadata job, in the
+            format
+            ``projects/{project_id_or_number}/locations/{location_id}/metadataJobs/{metadata_job_id}``.
+    """
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+
+
+class ListMetadataJobsRequest(proto.Message):
+    r"""List metadata jobs request.
+
+    Attributes:
+        parent (str):
+            Required. The resource name of the parent location, in the
+            format
+            ``projects/{project_id_or_number}/locations/{location_id}``
+        page_size (int):
+            Optional. The maximum number of metadata jobs
+            to return. The service might return fewer jobs
+            than this value. If unspecified, at most 10 jobs
+            are returned. The maximum value is 1,000.
+        page_token (str):
+            Optional. The page token received from a previous
+            ``ListMetadataJobs`` call. Provide this token to retrieve
+            the subsequent page of results. When paginating, all other
+            parameters that are provided to the ``ListMetadataJobs``
+            request must match the call that provided the page token.
+        filter (str):
+            Optional. Filter request. Filters are case-sensitive. The
+            service supports the following formats:
+
+            -  ``labels.key1 = "value1"``
+            -  ``labels:key1``
+            -  ``name = "value"``
+
+            You can combine filters with ``AND``, ``OR``, and ``NOT``
+            operators.
+        order_by (str):
+            Optional. The field to sort the results by, either ``name``
+            or ``create_time``. If not specified, the ordering is
+            undefined.
+    """
+
+    parent: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    page_size: int = proto.Field(
+        proto.INT32,
+        number=2,
+    )
+    page_token: str = proto.Field(
+        proto.STRING,
+        number=3,
+    )
+    filter: str = proto.Field(
+        proto.STRING,
+        number=4,
+    )
+    order_by: str = proto.Field(
+        proto.STRING,
+        number=5,
+    )
+
+
+class ListMetadataJobsResponse(proto.Message):
+    r"""List metadata jobs response.
+
+    Attributes:
+        metadata_jobs (MutableSequence[google.cloud.dataplex_v1.types.MetadataJob]):
+            Metadata jobs under the specified parent
+            location.
+        next_page_token (str):
+            A token to retrieve the next page of results.
+            If there are no more results in the list, the
+            value is empty.
+        unreachable_locations (MutableSequence[str]):
+            Locations that the service couldn't reach.
+    """
+
+    @property
+    def raw_page(self):
+        return self
+
+    metadata_jobs: MutableSequence['MetadataJob'] = proto.RepeatedField(
+        proto.MESSAGE,
+        number=1,
+        message='MetadataJob',
+    )
+    next_page_token: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+    unreachable_locations: MutableSequence[str] = proto.RepeatedField(
+        proto.STRING,
+        number=3,
+    )
+
+
+class CancelMetadataJobRequest(proto.Message):
+    r"""Cancel metadata job request.
+
+    Attributes:
+        name (str):
+            Required. The resource name of the job, in the format
+            ``projects/{project_id_or_number}/locations/{location_id}/metadataJobs/{metadata_job_id}``
+    """
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+
+
+class MetadataJob(proto.Message):
+    r"""A metadata job resource.
+
+    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
+
+    Attributes:
+        name (str):
+            Output only. Identifier. The name of the resource that the
+            configuration is applied to, in the format
+            ``projects/{project_number}/locations/{location_id}/metadataJobs/{metadata_job_id}``.
+        uid (str):
+            Output only. A system-generated, globally
+            unique ID for the metadata job. If the metadata
+            job is deleted and then re-created with the same
+            name, this ID is different.
+        create_time (google.protobuf.timestamp_pb2.Timestamp):
+            Output only. The time when the metadata job
+            was created.
+        update_time (google.protobuf.timestamp_pb2.Timestamp):
+            Output only. The time when the metadata job
+            was updated.
+        labels (MutableMapping[str, str]):
+            Optional. User-defined labels.
+        type_ (google.cloud.dataplex_v1.types.MetadataJob.Type):
+            Required. Metadata job type.
+        import_spec (google.cloud.dataplex_v1.types.MetadataJob.ImportJobSpec):
+            Import job specification.
+
+            This field is a member of `oneof`_ ``spec``.
+        import_result (google.cloud.dataplex_v1.types.MetadataJob.ImportJobResult):
+            Output only. Import job result.
+
+            This field is a member of `oneof`_ ``result``.
+        status (google.cloud.dataplex_v1.types.MetadataJob.Status):
+            Output only. Metadata job status.
+    """
+    class Type(proto.Enum):
+        r"""Metadata job type.
+
+        Values:
+            TYPE_UNSPECIFIED (0):
+                Unspecified.
+            IMPORT (1):
+                Import job.
+        """
+        TYPE_UNSPECIFIED = 0
+        IMPORT = 1
+
+    class ImportJobResult(proto.Message):
+        r"""Results from a metadata import job.
+
+        Attributes:
+            deleted_entries (int):
+                Output only. The total number of entries that
+                were deleted.
+            updated_entries (int):
+                Output only. The total number of entries that
+                were updated.
+            created_entries (int):
+                Output only. The total number of entries that
+                were created.
+            unchanged_entries (int):
+                Output only. The total number of entries that
+                were unchanged.
+            recreated_entries (int):
+                Output only. The total number of entries that
+                were recreated.
+            update_time (google.protobuf.timestamp_pb2.Timestamp):
+                Output only. The time when the status was
+                updated.
+        """
+
+        deleted_entries: int = proto.Field(
+            proto.INT64,
+            number=1,
+        )
+        updated_entries: int = proto.Field(
+            proto.INT64,
+            number=2,
+        )
+        created_entries: int = proto.Field(
+            proto.INT64,
+            number=3,
+        )
+        unchanged_entries: int = proto.Field(
+            proto.INT64,
+            number=4,
+        )
+        recreated_entries: int = proto.Field(
+            proto.INT64,
+            number=6,
+        )
+        update_time: timestamp_pb2.Timestamp = proto.Field(
+            proto.MESSAGE,
+            number=5,
+            message=timestamp_pb2.Timestamp,
+        )
+
+    class ImportJobSpec(proto.Message):
+        r"""Job specification for a metadata import job
+
+        Attributes:
+            source_storage_uri (str):
+                Optional. The URI of a Cloud Storage bucket or folder
+                (beginning with ``gs://`` and ending with ``/``) that
+                contains the metadata import files for this job.
+
+                A metadata import file defines the values to set for each of
+                the entries and aspects in a metadata job. For more
+                information about how to create a metadata import file and
+                the file requirements, see `Metadata import
+                file <https://cloud.google.com/dataplex/docs/import-metadata#metadata-import-file>`__.
+
+                You can provide multiple metadata import files in the same
+                metadata job. The bucket or folder must contain at least one
+                metadata import file, in JSON Lines format (either ``.json``
+                or ``.jsonl`` file extension).
+
+                In ``FULL`` entry sync mode, don't save the metadata import
+                file in a folder named ``SOURCE_STORAGE_URI/deletions/``.
+
+                **Caution**: If the metadata import file contains no data,
+                all entries and aspects that belong to the job's scope are
+                deleted.
+            source_create_time (google.protobuf.timestamp_pb2.Timestamp):
+                Optional. The time when the process that
+                created the metadata import files began.
+            scope (google.cloud.dataplex_v1.types.MetadataJob.ImportJobSpec.ImportJobScope):
+                Required. A boundary on the scope of impact
+                that the metadata import job can have.
+            entry_sync_mode (google.cloud.dataplex_v1.types.MetadataJob.ImportJobSpec.SyncMode):
+                Required. The sync mode for entries. Only ``FULL`` mode is
+                supported for entries. All entries in the job's scope are
+                modified. If an entry exists in Dataplex but isn't included
+                in the metadata import file, the entry is deleted when you
+                run the metadata job.
+            aspect_sync_mode (google.cloud.dataplex_v1.types.MetadataJob.ImportJobSpec.SyncMode):
+                Required. The sync mode for aspects. Only ``INCREMENTAL``
+                mode is supported for aspects. An aspect is modified only if
+                the metadata import file includes a reference to the aspect
+                in the ``update_mask`` field and the ``aspect_keys`` field.
+            log_level (google.cloud.dataplex_v1.types.MetadataJob.ImportJobSpec.LogLevel):
+                Optional. The level of logs to write to Cloud Logging for
+                this job.
+
+                Debug-level logs provide highly-detailed information for
+                troubleshooting, but their increased verbosity could incur
+                `additional
+                costs <https://cloud.google.com/stackdriver/pricing>`__ that
+                might not be merited for all jobs.
+
+                If unspecified, defaults to ``INFO``.
+        """
+        class SyncMode(proto.Enum):
+            r"""Specifies how the entries and aspects in a metadata job are
+            updated.
+
+            Values:
+                SYNC_MODE_UNSPECIFIED (0):
+                    Sync mode unspecified.
+                FULL (1):
+                    All resources in the job's scope are
+                    modified. If a resource exists in Dataplex but
+                    isn't included in the metadata import file, the
+                    resource is deleted when you run the metadata
+                    job. Use this mode to perform a full sync of the
+                    set of entries in the job scope.
+                INCREMENTAL (2):
+                    Only the entries and aspects that are
+                    explicitly included in the metadata import file
+                    are modified. Use this mode to modify a subset
+                    of resources while leaving unreferenced
+                    resources unchanged.
+            """
+            SYNC_MODE_UNSPECIFIED = 0
+            FULL = 1
+            INCREMENTAL = 2
+
+        class LogLevel(proto.Enum):
+            r"""The level of logs to write to Cloud Logging for this job.
+
+            Values:
+                LOG_LEVEL_UNSPECIFIED (0):
+                    Log level unspecified.
+                DEBUG (1):
+                    Debug-level logging. Captures detailed logs for each import
+                    item. Use debug-level logging to troubleshoot issues with
+                    specific import items. For example, use debug-level logging
+                    to identify resources that are missing from the job scope,
+                    entries or aspects that don't conform to the associated
+                    entry type or aspect type, or other misconfigurations with
+                    the metadata import file.
+
+                    Depending on the size of your metadata job and the number of
+                    logs that are generated, debug-level logging might incur
+                    `additional
+                    costs <https://cloud.google.com/stackdriver/pricing>`__.
+                INFO (2):
+                    Info-level logging. Captures logs at the
+                    overall job level. Includes aggregate logs about
+                    import items, but doesn't specify which import
+                    item has an error.
+            """
+            LOG_LEVEL_UNSPECIFIED = 0
+            DEBUG = 1
+            INFO = 2
+
+        class ImportJobScope(proto.Message):
+            r"""A boundary on the scope of impact that the metadata import
+            job can have.
+
+            Attributes:
+                entry_groups (MutableSequence[str]):
+                    Required. The entry group that is in scope for the import
+                    job, specified as a relative resource name in the format
+                    ``projects/{project_number_or_id}/locations/{location_id}/entryGroups/{entry_group_id}``.
+                    Only entries that belong to the specified entry group are
+                    affected by the job.
+
+                    Must contain exactly one element. The entry group and the
+                    job must be in the same location.
+                entry_types (MutableSequence[str]):
+                    Required. The entry types that are in scope for the import
+                    job, specified as relative resource names in the format
+                    ``projects/{project_number_or_id}/locations/{location_id}/entryTypes/{entry_type_id}``.
+                    The job modifies only the entries that belong to these entry
+                    types.
+
+                    If the metadata import file attempts to modify an entry
+                    whose type isn't included in this list, the import job is
+                    halted before modifying any entries or aspects.
+
+                    The location of an entry type must either match the location
+                    of the job, or the entry type must be global.
+                aspect_types (MutableSequence[str]):
+                    Optional. The aspect types that are in scope for the import
+                    job, specified as relative resource names in the format
+                    ``projects/{project_number_or_id}/locations/{location_id}/aspectTypes/{aspect_type_id}``.
+                    The job modifies only the aspects that belong to these
+                    aspect types.
+
+                    If the metadata import file attempts to modify an aspect
+                    whose type isn't included in this list, the import job is
+                    halted before modifying any entries or aspects.
+
+                    The location of an aspect type must either match the
+                    location of the job, or the aspect type must be global.
+            """
+
+            entry_groups: MutableSequence[str] = proto.RepeatedField(
+                proto.STRING,
+                number=1,
+            )
+            entry_types: MutableSequence[str] = proto.RepeatedField(
+                proto.STRING,
+                number=2,
+            )
+            aspect_types: MutableSequence[str] = proto.RepeatedField(
+                proto.STRING,
+                number=3,
+            )
+
+        source_storage_uri: str = proto.Field(
+            proto.STRING,
+            number=1,
+        )
+        source_create_time: timestamp_pb2.Timestamp = proto.Field(
+            proto.MESSAGE,
+            number=5,
+            message=timestamp_pb2.Timestamp,
+        )
+        scope: 'MetadataJob.ImportJobSpec.ImportJobScope' = proto.Field(
+            proto.MESSAGE,
+            number=2,
+            message='MetadataJob.ImportJobSpec.ImportJobScope',
+        )
+        entry_sync_mode: 'MetadataJob.ImportJobSpec.SyncMode' = proto.Field(
+            proto.ENUM,
+            number=3,
+            enum='MetadataJob.ImportJobSpec.SyncMode',
+        )
+        aspect_sync_mode: 'MetadataJob.ImportJobSpec.SyncMode' = proto.Field(
+            proto.ENUM,
+            number=4,
+            enum='MetadataJob.ImportJobSpec.SyncMode',
+        )
+        log_level: 'MetadataJob.ImportJobSpec.LogLevel' = proto.Field(
+            proto.ENUM,
+            number=6,
+            enum='MetadataJob.ImportJobSpec.LogLevel',
+        )
+
+    class Status(proto.Message):
+        r"""Metadata job status.
+
+        Attributes:
+            state (google.cloud.dataplex_v1.types.MetadataJob.Status.State):
+                Output only. State of the metadata job.
+            message (str):
+                Output only. Message relating to the
+                progression of a metadata job.
+            completion_percent (int):
+                Output only. Progress tracking.
+            update_time (google.protobuf.timestamp_pb2.Timestamp):
+                Output only. The time when the status was
+                updated.
+        """
+        class State(proto.Enum):
+            r"""State of a metadata job.
+
+            Values:
+                STATE_UNSPECIFIED (0):
+                    State unspecified.
+                QUEUED (1):
+                    The job is queued.
+                RUNNING (2):
+                    The job is running.
+                CANCELING (3):
+                    The job is being canceled.
+                CANCELED (4):
+                    The job is canceled.
+                SUCCEEDED (5):
+                    The job succeeded.
+                FAILED (6):
+                    The job failed.
+                SUCCEEDED_WITH_ERRORS (7):
+                    The job completed with some errors.
+            """
+            STATE_UNSPECIFIED = 0
+            QUEUED = 1
+            RUNNING = 2
+            CANCELING = 3
+            CANCELED = 4
+            SUCCEEDED = 5
+            FAILED = 6
+            SUCCEEDED_WITH_ERRORS = 7
+
+        state: 'MetadataJob.Status.State' = proto.Field(
+            proto.ENUM,
+            number=1,
+            enum='MetadataJob.Status.State',
+        )
+        message: str = proto.Field(
+            proto.STRING,
+            number=2,
+        )
+        completion_percent: int = proto.Field(
+            proto.INT32,
+            number=3,
+        )
+        update_time: timestamp_pb2.Timestamp = proto.Field(
+            proto.MESSAGE,
+            number=4,
+            message=timestamp_pb2.Timestamp,
+        )
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    uid: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+    create_time: timestamp_pb2.Timestamp = proto.Field(
+        proto.MESSAGE,
+        number=3,
+        message=timestamp_pb2.Timestamp,
+    )
+    update_time: timestamp_pb2.Timestamp = proto.Field(
+        proto.MESSAGE,
+        number=4,
+        message=timestamp_pb2.Timestamp,
+    )
+    labels: MutableMapping[str, str] = proto.MapField(
+        proto.STRING,
+        proto.STRING,
+        number=5,
+    )
+    type_: Type = proto.Field(
+        proto.ENUM,
+        number=6,
+        enum=Type,
+    )
+    import_spec: ImportJobSpec = proto.Field(
+        proto.MESSAGE,
+        number=100,
+        oneof='spec',
+        message=ImportJobSpec,
+    )
+    import_result: ImportJobResult = proto.Field(
+        proto.MESSAGE,
+        number=200,
+        oneof='result',
+        message=ImportJobResult,
+    )
+    status: Status = proto.Field(
+        proto.MESSAGE,
+        number=7,
+        message=Status,
+    )
+
+
+__all__ = tuple(sorted(__protobuf__.manifest))
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/content.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/content.py
new file mode 100644
index 000000000000..d78845393886
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/content.py
@@ -0,0 +1,227 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from __future__ import annotations
+
+from typing import MutableMapping, MutableSequence
+
+import proto  # type: ignore
+
+from google.cloud.dataplex_v1.types import analyze
+from google.protobuf import field_mask_pb2  # type: ignore
+
+
+__protobuf__ = proto.module(
+    package='google.cloud.dataplex.v1',
+    manifest={
+        'CreateContentRequest',
+        'UpdateContentRequest',
+        'DeleteContentRequest',
+        'ListContentRequest',
+        'ListContentResponse',
+        'GetContentRequest',
+    },
+)
+
+
+class CreateContentRequest(proto.Message):
+    r"""Create content request.
+
+    Attributes:
+        parent (str):
+            Required. The resource name of the parent lake:
+            projects/{project_id}/locations/{location_id}/lakes/{lake_id}
+        content (google.cloud.dataplex_v1.types.Content):
+            Required. Content resource.
+        validate_only (bool):
+            Optional. Only validate the request, but do
+            not perform mutations. The default is false.
+    """
+
+    parent: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    content: analyze.Content = proto.Field(
+        proto.MESSAGE,
+        number=2,
+        message=analyze.Content,
+    )
+    validate_only: bool = proto.Field(
+        proto.BOOL,
+        number=3,
+    )
+
+
+class UpdateContentRequest(proto.Message):
+    r"""Update content request.
+
+    Attributes:
+        update_mask (google.protobuf.field_mask_pb2.FieldMask):
+            Required. Mask of fields to update.
+        content (google.cloud.dataplex_v1.types.Content):
+            Required. Update description. Only fields specified in
+            ``update_mask`` are updated.
+        validate_only (bool):
+            Optional. Only validate the request, but do
+            not perform mutations. The default is false.
+    """
+
+    update_mask: field_mask_pb2.FieldMask = proto.Field(
+        proto.MESSAGE,
+        number=1,
+        message=field_mask_pb2.FieldMask,
+    )
+    content: analyze.Content = proto.Field(
+        proto.MESSAGE,
+        number=2,
+        message=analyze.Content,
+    )
+    validate_only: bool = proto.Field(
+        proto.BOOL,
+        number=3,
+    )
+
+
+class DeleteContentRequest(proto.Message):
+    r"""Delete content request.
+
+    Attributes:
+        name (str):
+            Required. The resource name of the content:
+            projects/{project_id}/locations/{location_id}/lakes/{lake_id}/content/{content_id}
+    """
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+
+
+class ListContentRequest(proto.Message):
+    r"""List content request. Returns the BASIC Content view.
+
+    Attributes:
+        parent (str):
+            Required. The resource name of the parent lake:
+            projects/{project_id}/locations/{location_id}/lakes/{lake_id}
+        page_size (int):
+            Optional. Maximum number of content to
+            return. The service may return fewer than this
+            value. If unspecified, at most 10 content will
+            be returned. The maximum value is 1000; values
+            above 1000 will be coerced to 1000.
+        page_token (str):
+            Optional. Page token received from a previous
+            ``ListContent`` call. Provide this to retrieve the
+            subsequent page. When paginating, all other parameters
+            provided to ``ListContent`` must match the call that
+            provided the page token.
+        filter (str):
+            Optional. Filter request. Filters are case-sensitive. The
+            following formats are supported:
+
+            labels.key1 = "value1" labels:key1 type = "NOTEBOOK" type =
+            "SQL_SCRIPT"
+
+            These restrictions can be coinjoined with AND, OR and NOT
+            conjunctions.
+    """
+
+    parent: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    page_size: int = proto.Field(
+        proto.INT32,
+        number=2,
+    )
+    page_token: str = proto.Field(
+        proto.STRING,
+        number=3,
+    )
+    filter: str = proto.Field(
+        proto.STRING,
+        number=4,
+    )
+
+
+class ListContentResponse(proto.Message):
+    r"""List content response.
+
+    Attributes:
+        content (MutableSequence[google.cloud.dataplex_v1.types.Content]):
+            Content under the given parent lake.
+        next_page_token (str):
+            Token to retrieve the next page of results,
+            or empty if there are no more results in the
+            list.
+    """
+
+    @property
+    def raw_page(self):
+        return self
+
+    content: MutableSequence[analyze.Content] = proto.RepeatedField(
+        proto.MESSAGE,
+        number=1,
+        message=analyze.Content,
+    )
+    next_page_token: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+
+
+class GetContentRequest(proto.Message):
+    r"""Get content request.
+
+    Attributes:
+        name (str):
+            Required. The resource name of the content:
+            projects/{project_id}/locations/{location_id}/lakes/{lake_id}/content/{content_id}
+        view (google.cloud.dataplex_v1.types.GetContentRequest.ContentView):
+            Optional. Specify content view to make a
+            partial request.
+    """
+    class ContentView(proto.Enum):
+        r"""Specifies whether the request should return the full or the
+        partial representation.
+
+        Values:
+            CONTENT_VIEW_UNSPECIFIED (0):
+                Content view not specified. Defaults to
+                BASIC. The API will default to the BASIC view.
+            BASIC (1):
+                Will not return the ``data_text`` field.
+            FULL (2):
+                Returns the complete proto.
+        """
+        CONTENT_VIEW_UNSPECIFIED = 0
+        BASIC = 1
+        FULL = 2
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    view: ContentView = proto.Field(
+        proto.ENUM,
+        number=2,
+        enum=ContentView,
+    )
+
+
+__all__ = tuple(sorted(__protobuf__.manifest))
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/data_discovery.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/data_discovery.py
new file mode 100644
index 000000000000..434fb578a40b
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/data_discovery.py
@@ -0,0 +1,250 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from __future__ import annotations
+
+from typing import MutableMapping, MutableSequence
+
+import proto  # type: ignore
+
+
+__protobuf__ = proto.module(
+    package='google.cloud.dataplex.v1',
+    manifest={
+        'DataDiscoverySpec',
+        'DataDiscoveryResult',
+    },
+)
+
+
+class DataDiscoverySpec(proto.Message):
+    r"""Spec for a data discovery scan.
+
+    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
+
+    Attributes:
+        bigquery_publishing_config (google.cloud.dataplex_v1.types.DataDiscoverySpec.BigQueryPublishingConfig):
+            Optional. Configuration for metadata
+            publishing.
+        storage_config (google.cloud.dataplex_v1.types.DataDiscoverySpec.StorageConfig):
+            Cloud Storage related configurations.
+
+            This field is a member of `oneof`_ ``resource_config``.
+    """
+
+    class BigQueryPublishingConfig(proto.Message):
+        r"""Describes BigQuery publishing configurations.
+
+        Attributes:
+            table_type (google.cloud.dataplex_v1.types.DataDiscoverySpec.BigQueryPublishingConfig.TableType):
+                Optional. Determines whether to  publish
+                discovered tables as BigLake external tables or
+                non-BigLake external tables.
+            connection (str):
+                Optional. The BigQuery connection used to create BigLake
+                tables. Must be in the form
+                ``projects/{project_id}/locations/{location_id}/connections/{connection_id}``
+        """
+        class TableType(proto.Enum):
+            r"""Determines how discovered tables are published.
+
+            Values:
+                TABLE_TYPE_UNSPECIFIED (0):
+                    Table type unspecified.
+                EXTERNAL (1):
+                    Default. Discovered tables are published as
+                    BigQuery external tables whose data is accessed
+                    using the credentials of the user querying the
+                    table.
+                BIGLAKE (2):
+                    Discovered tables are published as BigLake
+                    external tables whose data is accessed using the
+                    credentials of the associated BigQuery
+                    connection.
+            """
+            TABLE_TYPE_UNSPECIFIED = 0
+            EXTERNAL = 1
+            BIGLAKE = 2
+
+        table_type: 'DataDiscoverySpec.BigQueryPublishingConfig.TableType' = proto.Field(
+            proto.ENUM,
+            number=2,
+            enum='DataDiscoverySpec.BigQueryPublishingConfig.TableType',
+        )
+        connection: str = proto.Field(
+            proto.STRING,
+            number=3,
+        )
+
+    class StorageConfig(proto.Message):
+        r"""Configurations related to Cloud Storage as the data source.
+
+        Attributes:
+            include_patterns (MutableSequence[str]):
+                Optional. Defines the data to include during
+                discovery when only a subset of the data should
+                be considered. Provide a list of patterns that
+                identify the data to include. For Cloud Storage
+                bucket assets, these patterns are interpreted as
+                glob patterns used to match object names. For
+                BigQuery dataset assets, these patterns are
+                interpreted as patterns to match table names.
+            exclude_patterns (MutableSequence[str]):
+                Optional. Defines the data to exclude during
+                discovery. Provide a list of patterns that
+                identify the data to exclude. For Cloud Storage
+                bucket assets, these patterns are interpreted as
+                glob patterns used to match object names. For
+                BigQuery dataset assets, these patterns are
+                interpreted as patterns to match table names.
+            csv_options (google.cloud.dataplex_v1.types.DataDiscoverySpec.StorageConfig.CsvOptions):
+                Optional. Configuration for CSV data.
+            json_options (google.cloud.dataplex_v1.types.DataDiscoverySpec.StorageConfig.JsonOptions):
+                Optional. Configuration for JSON data.
+        """
+
+        class CsvOptions(proto.Message):
+            r"""Describes CSV and similar semi-structured data formats.
+
+            Attributes:
+                header_rows (int):
+                    Optional. The number of rows to interpret as
+                    header rows that should be skipped when reading
+                    data rows.
+                delimiter (str):
+                    Optional. The delimiter that is used to separate values. The
+                    default is ``,`` (comma).
+                encoding (str):
+                    Optional. The character encoding of the data.
+                    The default is UTF-8.
+                type_inference_disabled (bool):
+                    Optional. Whether to disable the inference of
+                    data types for CSV data. If true, all columns
+                    are registered as strings.
+                quote (str):
+                    Optional. The character used to quote column values. Accepts
+                    ``"`` (double quotation mark) or ``'`` (single quotation
+                    mark). If unspecified, defaults to ``"`` (double quotation
+                    mark).
+            """
+
+            header_rows: int = proto.Field(
+                proto.INT32,
+                number=1,
+            )
+            delimiter: str = proto.Field(
+                proto.STRING,
+                number=2,
+            )
+            encoding: str = proto.Field(
+                proto.STRING,
+                number=3,
+            )
+            type_inference_disabled: bool = proto.Field(
+                proto.BOOL,
+                number=4,
+            )
+            quote: str = proto.Field(
+                proto.STRING,
+                number=5,
+            )
+
+        class JsonOptions(proto.Message):
+            r"""Describes JSON data format.
+
+            Attributes:
+                encoding (str):
+                    Optional. The character encoding of the data.
+                    The default is UTF-8.
+                type_inference_disabled (bool):
+                    Optional. Whether to disable the inference of
+                    data types for JSON data. If true, all columns
+                    are registered as their primitive types
+                    (strings, number, or boolean).
+            """
+
+            encoding: str = proto.Field(
+                proto.STRING,
+                number=1,
+            )
+            type_inference_disabled: bool = proto.Field(
+                proto.BOOL,
+                number=2,
+            )
+
+        include_patterns: MutableSequence[str] = proto.RepeatedField(
+            proto.STRING,
+            number=1,
+        )
+        exclude_patterns: MutableSequence[str] = proto.RepeatedField(
+            proto.STRING,
+            number=2,
+        )
+        csv_options: 'DataDiscoverySpec.StorageConfig.CsvOptions' = proto.Field(
+            proto.MESSAGE,
+            number=3,
+            message='DataDiscoverySpec.StorageConfig.CsvOptions',
+        )
+        json_options: 'DataDiscoverySpec.StorageConfig.JsonOptions' = proto.Field(
+            proto.MESSAGE,
+            number=4,
+            message='DataDiscoverySpec.StorageConfig.JsonOptions',
+        )
+
+    bigquery_publishing_config: BigQueryPublishingConfig = proto.Field(
+        proto.MESSAGE,
+        number=1,
+        message=BigQueryPublishingConfig,
+    )
+    storage_config: StorageConfig = proto.Field(
+        proto.MESSAGE,
+        number=100,
+        oneof='resource_config',
+        message=StorageConfig,
+    )
+
+
+class DataDiscoveryResult(proto.Message):
+    r"""The output of a data discovery scan.
+
+    Attributes:
+        bigquery_publishing (google.cloud.dataplex_v1.types.DataDiscoveryResult.BigQueryPublishing):
+            Output only. Configuration for metadata
+            publishing.
+    """
+
+    class BigQueryPublishing(proto.Message):
+        r"""Describes BigQuery publishing configurations.
+
+        Attributes:
+            dataset (str):
+                Output only. The BigQuery dataset to publish to. It takes
+                the form ``projects/{project_id}/datasets/{dataset_id}``. If
+                not set, the service creates a default publishing dataset.
+        """
+
+        dataset: str = proto.Field(
+            proto.STRING,
+            number=1,
+        )
+
+    bigquery_publishing: BigQueryPublishing = proto.Field(
+        proto.MESSAGE,
+        number=1,
+        message=BigQueryPublishing,
+    )
+
+
+__all__ = tuple(sorted(__protobuf__.manifest))
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/data_profile.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/data_profile.py
new file mode 100644
index 000000000000..1e5f3aad0d9f
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/data_profile.py
@@ -0,0 +1,540 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from __future__ import annotations
+
+from typing import MutableMapping, MutableSequence
+
+import proto  # type: ignore
+
+from google.cloud.dataplex_v1.types import processing
+
+
+__protobuf__ = proto.module(
+    package='google.cloud.dataplex.v1',
+    manifest={
+        'DataProfileSpec',
+        'DataProfileResult',
+    },
+)
+
+
+class DataProfileSpec(proto.Message):
+    r"""DataProfileScan related setting.
+
+    Attributes:
+        sampling_percent (float):
+            Optional. The percentage of the records to be selected from
+            the dataset for DataScan.
+
+            -  Value can range between 0.0 and 100.0 with up to 3
+               significant decimal digits.
+            -  Sampling is not applied if ``sampling_percent`` is not
+               specified, 0 or
+
+            100.
+        row_filter (str):
+            Optional. A filter applied to all rows in a
+            single DataScan job. The filter needs to be a
+            valid SQL expression for a WHERE clause in
+            BigQuery standard SQL syntax.
+            Example: col1 >= 0 AND col2 < 10
+        post_scan_actions (google.cloud.dataplex_v1.types.DataProfileSpec.PostScanActions):
+            Optional. Actions to take upon job
+            completion..
+        include_fields (google.cloud.dataplex_v1.types.DataProfileSpec.SelectedFields):
+            Optional. The fields to include in data profile.
+
+            If not specified, all fields at the time of profile scan job
+            execution are included, except for ones listed in
+            ``exclude_fields``.
+        exclude_fields (google.cloud.dataplex_v1.types.DataProfileSpec.SelectedFields):
+            Optional. The fields to exclude from data profile.
+
+            If specified, the fields will be excluded from data profile,
+            regardless of ``include_fields`` value.
+    """
+
+    class PostScanActions(proto.Message):
+        r"""The configuration of post scan actions of DataProfileScan
+        job.
+
+        Attributes:
+            bigquery_export (google.cloud.dataplex_v1.types.DataProfileSpec.PostScanActions.BigQueryExport):
+                Optional. If set, results will be exported to
+                the provided BigQuery table.
+        """
+
+        class BigQueryExport(proto.Message):
+            r"""The configuration of BigQuery export post scan action.
+
+            Attributes:
+                results_table (str):
+                    Optional. The BigQuery table to export DataProfileScan
+                    results to. Format:
+                    //bigquery.googleapis.com/projects/PROJECT_ID/datasets/DATASET_ID/tables/TABLE_ID
+            """
+
+            results_table: str = proto.Field(
+                proto.STRING,
+                number=1,
+            )
+
+        bigquery_export: 'DataProfileSpec.PostScanActions.BigQueryExport' = proto.Field(
+            proto.MESSAGE,
+            number=1,
+            message='DataProfileSpec.PostScanActions.BigQueryExport',
+        )
+
+    class SelectedFields(proto.Message):
+        r"""The specification for fields to include or exclude in data
+        profile scan.
+
+        Attributes:
+            field_names (MutableSequence[str]):
+                Optional. Expected input is a list of fully
+                qualified names of fields as in the schema.
+
+                Only top-level field names for nested fields are
+                supported. For instance, if 'x' is of nested
+                field type, listing 'x' is supported but 'x.y.z'
+                is not supported. Here 'y' and 'y.z' are nested
+                fields of 'x'.
+        """
+
+        field_names: MutableSequence[str] = proto.RepeatedField(
+            proto.STRING,
+            number=1,
+        )
+
+    sampling_percent: float = proto.Field(
+        proto.FLOAT,
+        number=2,
+    )
+    row_filter: str = proto.Field(
+        proto.STRING,
+        number=3,
+    )
+    post_scan_actions: PostScanActions = proto.Field(
+        proto.MESSAGE,
+        number=4,
+        message=PostScanActions,
+    )
+    include_fields: SelectedFields = proto.Field(
+        proto.MESSAGE,
+        number=5,
+        message=SelectedFields,
+    )
+    exclude_fields: SelectedFields = proto.Field(
+        proto.MESSAGE,
+        number=6,
+        message=SelectedFields,
+    )
+
+
+class DataProfileResult(proto.Message):
+    r"""DataProfileResult defines the output of DataProfileScan. Each
+    field of the table will have field type specific profile result.
+
+    Attributes:
+        row_count (int):
+            The count of rows scanned.
+        profile (google.cloud.dataplex_v1.types.DataProfileResult.Profile):
+            The profile information per field.
+        scanned_data (google.cloud.dataplex_v1.types.ScannedData):
+            The data scanned for this result.
+        post_scan_actions_result (google.cloud.dataplex_v1.types.DataProfileResult.PostScanActionsResult):
+            Output only. The result of post scan actions.
+    """
+
+    class Profile(proto.Message):
+        r"""Contains name, type, mode and field type specific profile
+        information.
+
+        Attributes:
+            fields (MutableSequence[google.cloud.dataplex_v1.types.DataProfileResult.Profile.Field]):
+                List of fields with structural and profile
+                information for each field.
+        """
+
+        class Field(proto.Message):
+            r"""A field within a table.
+
+            Attributes:
+                name (str):
+                    The name of the field.
+                type_ (str):
+                    The data type retrieved from the schema of the data source.
+                    For instance, for a BigQuery native table, it is the
+                    `BigQuery Table
+                    Schema <https://cloud.google.com/bigquery/docs/reference/rest/v2/tables#tablefieldschema>`__.
+                    For a Dataplex Entity, it is the `Entity
+                    Schema <https://cloud.google.com/dataplex/docs/reference/rpc/google.cloud.dataplex.v1#type_3>`__.
+                mode (str):
+                    The mode of the field. Possible values include:
+
+                    -  REQUIRED, if it is a required field.
+                    -  NULLABLE, if it is an optional field.
+                    -  REPEATED, if it is a repeated field.
+                profile (google.cloud.dataplex_v1.types.DataProfileResult.Profile.Field.ProfileInfo):
+                    Profile information for the corresponding
+                    field.
+            """
+
+            class ProfileInfo(proto.Message):
+                r"""The profile information for each field type.
+
+                This message has `oneof`_ fields (mutually exclusive fields).
+                For each oneof, at most one member field can be set at the same time.
+                Setting any member of the oneof automatically clears all other
+                members.
+
+                .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
+
+                Attributes:
+                    null_ratio (float):
+                        Ratio of rows with null value against total
+                        scanned rows.
+                    distinct_ratio (float):
+                        Ratio of rows with distinct values against
+                        total scanned rows. Not available for complex
+                        non-groupable field type, including RECORD,
+                        ARRAY, GEOGRAPHY, and JSON, as well as fields
+                        with REPEATABLE mode.
+                    top_n_values (MutableSequence[google.cloud.dataplex_v1.types.DataProfileResult.Profile.Field.ProfileInfo.TopNValue]):
+                        The list of top N non-null values, frequency
+                        and ratio with which they occur in the scanned
+                        data. N is 10 or equal to the number of distinct
+                        values in the field, whichever is smaller. Not
+                        available for complex non-groupable field type,
+                        including RECORD, ARRAY, GEOGRAPHY, and JSON, as
+                        well as fields with REPEATABLE mode.
+                    string_profile (google.cloud.dataplex_v1.types.DataProfileResult.Profile.Field.ProfileInfo.StringFieldInfo):
+                        String type field information.
+
+                        This field is a member of `oneof`_ ``field_info``.
+                    integer_profile (google.cloud.dataplex_v1.types.DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo):
+                        Integer type field information.
+
+                        This field is a member of `oneof`_ ``field_info``.
+                    double_profile (google.cloud.dataplex_v1.types.DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo):
+                        Double type field information.
+
+                        This field is a member of `oneof`_ ``field_info``.
+                """
+
+                class StringFieldInfo(proto.Message):
+                    r"""The profile information for a string type field.
+
+                    Attributes:
+                        min_length (int):
+                            Minimum length of non-null values in the
+                            scanned data.
+                        max_length (int):
+                            Maximum length of non-null values in the
+                            scanned data.
+                        average_length (float):
+                            Average length of non-null values in the
+                            scanned data.
+                    """
+
+                    min_length: int = proto.Field(
+                        proto.INT64,
+                        number=1,
+                    )
+                    max_length: int = proto.Field(
+                        proto.INT64,
+                        number=2,
+                    )
+                    average_length: float = proto.Field(
+                        proto.DOUBLE,
+                        number=3,
+                    )
+
+                class IntegerFieldInfo(proto.Message):
+                    r"""The profile information for an integer type field.
+
+                    Attributes:
+                        average (float):
+                            Average of non-null values in the scanned
+                            data. NaN, if the field has a NaN.
+                        standard_deviation (float):
+                            Standard deviation of non-null values in the
+                            scanned data. NaN, if the field has a NaN.
+                        min_ (int):
+                            Minimum of non-null values in the scanned
+                            data. NaN, if the field has a NaN.
+                        quartiles (MutableSequence[int]):
+                            A quartile divides the number of data points
+                            into four parts, or quarters, of more-or-less
+                            equal size. Three main quartiles used are: The
+                            first quartile (Q1) splits off the lowest 25% of
+                            data from the highest 75%. It is also known as
+                            the lower or 25th empirical quartile, as 25% of
+                            the data is below this point. The second
+                            quartile (Q2) is the median of a data set. So,
+                            50% of the data lies below this point. The third
+                            quartile (Q3) splits off the highest 25% of data
+                            from the lowest 75%. It is known as the upper or
+                            75th empirical quartile, as 75% of the data lies
+                            below this point. Here, the quartiles is
+                            provided as an ordered list of approximate
+                            quartile values for the scanned data, occurring
+                            in order Q1, median, Q3.
+                        max_ (int):
+                            Maximum of non-null values in the scanned
+                            data. NaN, if the field has a NaN.
+                    """
+
+                    average: float = proto.Field(
+                        proto.DOUBLE,
+                        number=1,
+                    )
+                    standard_deviation: float = proto.Field(
+                        proto.DOUBLE,
+                        number=3,
+                    )
+                    min_: int = proto.Field(
+                        proto.INT64,
+                        number=4,
+                    )
+                    quartiles: MutableSequence[int] = proto.RepeatedField(
+                        proto.INT64,
+                        number=6,
+                    )
+                    max_: int = proto.Field(
+                        proto.INT64,
+                        number=5,
+                    )
+
+                class DoubleFieldInfo(proto.Message):
+                    r"""The profile information for a double type field.
+
+                    Attributes:
+                        average (float):
+                            Average of non-null values in the scanned
+                            data. NaN, if the field has a NaN.
+                        standard_deviation (float):
+                            Standard deviation of non-null values in the
+                            scanned data. NaN, if the field has a NaN.
+                        min_ (float):
+                            Minimum of non-null values in the scanned
+                            data. NaN, if the field has a NaN.
+                        quartiles (MutableSequence[float]):
+                            A quartile divides the number of data points
+                            into four parts, or quarters, of more-or-less
+                            equal size. Three main quartiles used are: The
+                            first quartile (Q1) splits off the lowest 25% of
+                            data from the highest 75%. It is also known as
+                            the lower or 25th empirical quartile, as 25% of
+                            the data is below this point. The second
+                            quartile (Q2) is the median of a data set. So,
+                            50% of the data lies below this point. The third
+                            quartile (Q3) splits off the highest 25% of data
+                            from the lowest 75%. It is known as the upper or
+                            75th empirical quartile, as 75% of the data lies
+                            below this point. Here, the quartiles is
+                            provided as an ordered list of quartile values
+                            for the scanned data, occurring in order Q1,
+                            median, Q3.
+                        max_ (float):
+                            Maximum of non-null values in the scanned
+                            data. NaN, if the field has a NaN.
+                    """
+
+                    average: float = proto.Field(
+                        proto.DOUBLE,
+                        number=1,
+                    )
+                    standard_deviation: float = proto.Field(
+                        proto.DOUBLE,
+                        number=3,
+                    )
+                    min_: float = proto.Field(
+                        proto.DOUBLE,
+                        number=4,
+                    )
+                    quartiles: MutableSequence[float] = proto.RepeatedField(
+                        proto.DOUBLE,
+                        number=6,
+                    )
+                    max_: float = proto.Field(
+                        proto.DOUBLE,
+                        number=5,
+                    )
+
+                class TopNValue(proto.Message):
+                    r"""Top N non-null values in the scanned data.
+
+                    Attributes:
+                        value (str):
+                            String value of a top N non-null value.
+                        count (int):
+                            Count of the corresponding value in the
+                            scanned data.
+                        ratio (float):
+                            Ratio of the corresponding value in the field
+                            against the total number of rows in the scanned
+                            data.
+                    """
+
+                    value: str = proto.Field(
+                        proto.STRING,
+                        number=1,
+                    )
+                    count: int = proto.Field(
+                        proto.INT64,
+                        number=2,
+                    )
+                    ratio: float = proto.Field(
+                        proto.DOUBLE,
+                        number=3,
+                    )
+
+                null_ratio: float = proto.Field(
+                    proto.DOUBLE,
+                    number=2,
+                )
+                distinct_ratio: float = proto.Field(
+                    proto.DOUBLE,
+                    number=3,
+                )
+                top_n_values: MutableSequence['DataProfileResult.Profile.Field.ProfileInfo.TopNValue'] = proto.RepeatedField(
+                    proto.MESSAGE,
+                    number=4,
+                    message='DataProfileResult.Profile.Field.ProfileInfo.TopNValue',
+                )
+                string_profile: 'DataProfileResult.Profile.Field.ProfileInfo.StringFieldInfo' = proto.Field(
+                    proto.MESSAGE,
+                    number=101,
+                    oneof='field_info',
+                    message='DataProfileResult.Profile.Field.ProfileInfo.StringFieldInfo',
+                )
+                integer_profile: 'DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo' = proto.Field(
+                    proto.MESSAGE,
+                    number=102,
+                    oneof='field_info',
+                    message='DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo',
+                )
+                double_profile: 'DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo' = proto.Field(
+                    proto.MESSAGE,
+                    number=103,
+                    oneof='field_info',
+                    message='DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo',
+                )
+
+            name: str = proto.Field(
+                proto.STRING,
+                number=1,
+            )
+            type_: str = proto.Field(
+                proto.STRING,
+                number=2,
+            )
+            mode: str = proto.Field(
+                proto.STRING,
+                number=3,
+            )
+            profile: 'DataProfileResult.Profile.Field.ProfileInfo' = proto.Field(
+                proto.MESSAGE,
+                number=4,
+                message='DataProfileResult.Profile.Field.ProfileInfo',
+            )
+
+        fields: MutableSequence['DataProfileResult.Profile.Field'] = proto.RepeatedField(
+            proto.MESSAGE,
+            number=2,
+            message='DataProfileResult.Profile.Field',
+        )
+
+    class PostScanActionsResult(proto.Message):
+        r"""The result of post scan actions of DataProfileScan job.
+
+        Attributes:
+            bigquery_export_result (google.cloud.dataplex_v1.types.DataProfileResult.PostScanActionsResult.BigQueryExportResult):
+                Output only. The result of BigQuery export
+                post scan action.
+        """
+
+        class BigQueryExportResult(proto.Message):
+            r"""The result of BigQuery export post scan action.
+
+            Attributes:
+                state (google.cloud.dataplex_v1.types.DataProfileResult.PostScanActionsResult.BigQueryExportResult.State):
+                    Output only. Execution state for the BigQuery
+                    exporting.
+                message (str):
+                    Output only. Additional information about the
+                    BigQuery exporting.
+            """
+            class State(proto.Enum):
+                r"""Execution state for the exporting.
+
+                Values:
+                    STATE_UNSPECIFIED (0):
+                        The exporting state is unspecified.
+                    SUCCEEDED (1):
+                        The exporting completed successfully.
+                    FAILED (2):
+                        The exporting is no longer running due to an
+                        error.
+                    SKIPPED (3):
+                        The exporting is skipped due to no valid scan
+                        result to export (usually caused by scan
+                        failed).
+                """
+                STATE_UNSPECIFIED = 0
+                SUCCEEDED = 1
+                FAILED = 2
+                SKIPPED = 3
+
+            state: 'DataProfileResult.PostScanActionsResult.BigQueryExportResult.State' = proto.Field(
+                proto.ENUM,
+                number=1,
+                enum='DataProfileResult.PostScanActionsResult.BigQueryExportResult.State',
+            )
+            message: str = proto.Field(
+                proto.STRING,
+                number=2,
+            )
+
+        bigquery_export_result: 'DataProfileResult.PostScanActionsResult.BigQueryExportResult' = proto.Field(
+            proto.MESSAGE,
+            number=1,
+            message='DataProfileResult.PostScanActionsResult.BigQueryExportResult',
+        )
+
+    row_count: int = proto.Field(
+        proto.INT64,
+        number=3,
+    )
+    profile: Profile = proto.Field(
+        proto.MESSAGE,
+        number=4,
+        message=Profile,
+    )
+    scanned_data: processing.ScannedData = proto.Field(
+        proto.MESSAGE,
+        number=5,
+        message=processing.ScannedData,
+    )
+    post_scan_actions_result: PostScanActionsResult = proto.Field(
+        proto.MESSAGE,
+        number=6,
+        message=PostScanActionsResult,
+    )
+
+
+__all__ = tuple(sorted(__protobuf__.manifest))
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/data_quality.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/data_quality.py
new file mode 100644
index 000000000000..4f5adfd361ad
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/data_quality.py
@@ -0,0 +1,912 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from __future__ import annotations
+
+from typing import MutableMapping, MutableSequence
+
+import proto  # type: ignore
+
+from google.cloud.dataplex_v1.types import processing
+
+
+__protobuf__ = proto.module(
+    package='google.cloud.dataplex.v1',
+    manifest={
+        'DataQualitySpec',
+        'DataQualityResult',
+        'DataQualityRuleResult',
+        'DataQualityDimensionResult',
+        'DataQualityDimension',
+        'DataQualityRule',
+        'DataQualityColumnResult',
+    },
+)
+
+
+class DataQualitySpec(proto.Message):
+    r"""DataQualityScan related setting.
+
+    Attributes:
+        rules (MutableSequence[google.cloud.dataplex_v1.types.DataQualityRule]):
+            Required. The list of rules to evaluate
+            against a data source. At least one rule is
+            required.
+        sampling_percent (float):
+            Optional. The percentage of the records to be selected from
+            the dataset for DataScan.
+
+            -  Value can range between 0.0 and 100.0 with up to 3
+               significant decimal digits.
+            -  Sampling is not applied if ``sampling_percent`` is not
+               specified, 0 or
+
+            100.
+        row_filter (str):
+            Optional. A filter applied to all rows in a
+            single DataScan job. The filter needs to be a
+            valid SQL expression for a WHERE clause in
+            BigQuery standard SQL syntax.
+            Example: col1 >= 0 AND col2 < 10
+        post_scan_actions (google.cloud.dataplex_v1.types.DataQualitySpec.PostScanActions):
+            Optional. Actions to take upon job
+            completion.
+    """
+
+    class PostScanActions(proto.Message):
+        r"""The configuration of post scan actions of DataQualityScan.
+
+        Attributes:
+            bigquery_export (google.cloud.dataplex_v1.types.DataQualitySpec.PostScanActions.BigQueryExport):
+                Optional. If set, results will be exported to
+                the provided BigQuery table.
+            notification_report (google.cloud.dataplex_v1.types.DataQualitySpec.PostScanActions.NotificationReport):
+                Optional. If set, results will be sent to the
+                provided notification receipts upon triggers.
+        """
+
+        class BigQueryExport(proto.Message):
+            r"""The configuration of BigQuery export post scan action.
+
+            Attributes:
+                results_table (str):
+                    Optional. The BigQuery table to export DataQualityScan
+                    results to. Format:
+                    //bigquery.googleapis.com/projects/PROJECT_ID/datasets/DATASET_ID/tables/TABLE_ID
+            """
+
+            results_table: str = proto.Field(
+                proto.STRING,
+                number=1,
+            )
+
+        class Recipients(proto.Message):
+            r"""The individuals or groups who are designated to receive
+            notifications upon triggers.
+
+            Attributes:
+                emails (MutableSequence[str]):
+                    Optional. The email recipients who will
+                    receive the DataQualityScan results report.
+            """
+
+            emails: MutableSequence[str] = proto.RepeatedField(
+                proto.STRING,
+                number=1,
+            )
+
+        class ScoreThresholdTrigger(proto.Message):
+            r"""This trigger is triggered when the DQ score in the job result
+            is less than a specified input score.
+
+            Attributes:
+                score_threshold (float):
+                    Optional. The score range is in [0,100].
+            """
+
+            score_threshold: float = proto.Field(
+                proto.FLOAT,
+                number=2,
+            )
+
+        class JobFailureTrigger(proto.Message):
+            r"""This trigger is triggered when the scan job itself fails,
+            regardless of the result.
+
+            """
+
+        class JobEndTrigger(proto.Message):
+            r"""This trigger is triggered whenever a scan job run ends,
+            regardless of the result.
+
+            """
+
+        class NotificationReport(proto.Message):
+            r"""The configuration of notification report post scan action.
+
+            Attributes:
+                recipients (google.cloud.dataplex_v1.types.DataQualitySpec.PostScanActions.Recipients):
+                    Required. The recipients who will receive the
+                    notification report.
+                score_threshold_trigger (google.cloud.dataplex_v1.types.DataQualitySpec.PostScanActions.ScoreThresholdTrigger):
+                    Optional. If set, report will be sent when
+                    score threshold is met.
+                job_failure_trigger (google.cloud.dataplex_v1.types.DataQualitySpec.PostScanActions.JobFailureTrigger):
+                    Optional. If set, report will be sent when a
+                    scan job fails.
+                job_end_trigger (google.cloud.dataplex_v1.types.DataQualitySpec.PostScanActions.JobEndTrigger):
+                    Optional. If set, report will be sent when a
+                    scan job ends.
+            """
+
+            recipients: 'DataQualitySpec.PostScanActions.Recipients' = proto.Field(
+                proto.MESSAGE,
+                number=1,
+                message='DataQualitySpec.PostScanActions.Recipients',
+            )
+            score_threshold_trigger: 'DataQualitySpec.PostScanActions.ScoreThresholdTrigger' = proto.Field(
+                proto.MESSAGE,
+                number=2,
+                message='DataQualitySpec.PostScanActions.ScoreThresholdTrigger',
+            )
+            job_failure_trigger: 'DataQualitySpec.PostScanActions.JobFailureTrigger' = proto.Field(
+                proto.MESSAGE,
+                number=4,
+                message='DataQualitySpec.PostScanActions.JobFailureTrigger',
+            )
+            job_end_trigger: 'DataQualitySpec.PostScanActions.JobEndTrigger' = proto.Field(
+                proto.MESSAGE,
+                number=5,
+                message='DataQualitySpec.PostScanActions.JobEndTrigger',
+            )
+
+        bigquery_export: 'DataQualitySpec.PostScanActions.BigQueryExport' = proto.Field(
+            proto.MESSAGE,
+            number=1,
+            message='DataQualitySpec.PostScanActions.BigQueryExport',
+        )
+        notification_report: 'DataQualitySpec.PostScanActions.NotificationReport' = proto.Field(
+            proto.MESSAGE,
+            number=2,
+            message='DataQualitySpec.PostScanActions.NotificationReport',
+        )
+
+    rules: MutableSequence['DataQualityRule'] = proto.RepeatedField(
+        proto.MESSAGE,
+        number=1,
+        message='DataQualityRule',
+    )
+    sampling_percent: float = proto.Field(
+        proto.FLOAT,
+        number=4,
+    )
+    row_filter: str = proto.Field(
+        proto.STRING,
+        number=5,
+    )
+    post_scan_actions: PostScanActions = proto.Field(
+        proto.MESSAGE,
+        number=6,
+        message=PostScanActions,
+    )
+
+
+class DataQualityResult(proto.Message):
+    r"""The output of a DataQualityScan.
+
+    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
+
+    Attributes:
+        passed (bool):
+            Overall data quality result -- ``true`` if all rules passed.
+        score (float):
+            Output only. The overall data quality score.
+
+            The score ranges between [0, 100] (up to two decimal
+            points).
+
+            This field is a member of `oneof`_ ``_score``.
+        dimensions (MutableSequence[google.cloud.dataplex_v1.types.DataQualityDimensionResult]):
+            A list of results at the dimension level.
+
+            A dimension will have a corresponding
+            ``DataQualityDimensionResult`` if and only if there is at
+            least one rule with the 'dimension' field set to it.
+        columns (MutableSequence[google.cloud.dataplex_v1.types.DataQualityColumnResult]):
+            Output only. A list of results at the column level.
+
+            A column will have a corresponding
+            ``DataQualityColumnResult`` if and only if there is at least
+            one rule with the 'column' field set to it.
+        rules (MutableSequence[google.cloud.dataplex_v1.types.DataQualityRuleResult]):
+            A list of all the rules in a job, and their
+            results.
+        row_count (int):
+            The count of rows processed.
+        scanned_data (google.cloud.dataplex_v1.types.ScannedData):
+            The data scanned for this result.
+        post_scan_actions_result (google.cloud.dataplex_v1.types.DataQualityResult.PostScanActionsResult):
+            Output only. The result of post scan actions.
+    """
+
+    class PostScanActionsResult(proto.Message):
+        r"""The result of post scan actions of DataQualityScan job.
+
+        Attributes:
+            bigquery_export_result (google.cloud.dataplex_v1.types.DataQualityResult.PostScanActionsResult.BigQueryExportResult):
+                Output only. The result of BigQuery export
+                post scan action.
+        """
+
+        class BigQueryExportResult(proto.Message):
+            r"""The result of BigQuery export post scan action.
+
+            Attributes:
+                state (google.cloud.dataplex_v1.types.DataQualityResult.PostScanActionsResult.BigQueryExportResult.State):
+                    Output only. Execution state for the BigQuery
+                    exporting.
+                message (str):
+                    Output only. Additional information about the
+                    BigQuery exporting.
+            """
+            class State(proto.Enum):
+                r"""Execution state for the exporting.
+
+                Values:
+                    STATE_UNSPECIFIED (0):
+                        The exporting state is unspecified.
+                    SUCCEEDED (1):
+                        The exporting completed successfully.
+                    FAILED (2):
+                        The exporting is no longer running due to an
+                        error.
+                    SKIPPED (3):
+                        The exporting is skipped due to no valid scan
+                        result to export (usually caused by scan
+                        failed).
+                """
+                STATE_UNSPECIFIED = 0
+                SUCCEEDED = 1
+                FAILED = 2
+                SKIPPED = 3
+
+            state: 'DataQualityResult.PostScanActionsResult.BigQueryExportResult.State' = proto.Field(
+                proto.ENUM,
+                number=1,
+                enum='DataQualityResult.PostScanActionsResult.BigQueryExportResult.State',
+            )
+            message: str = proto.Field(
+                proto.STRING,
+                number=2,
+            )
+
+        bigquery_export_result: 'DataQualityResult.PostScanActionsResult.BigQueryExportResult' = proto.Field(
+            proto.MESSAGE,
+            number=1,
+            message='DataQualityResult.PostScanActionsResult.BigQueryExportResult',
+        )
+
+    passed: bool = proto.Field(
+        proto.BOOL,
+        number=5,
+    )
+    score: float = proto.Field(
+        proto.FLOAT,
+        number=9,
+        optional=True,
+    )
+    dimensions: MutableSequence['DataQualityDimensionResult'] = proto.RepeatedField(
+        proto.MESSAGE,
+        number=2,
+        message='DataQualityDimensionResult',
+    )
+    columns: MutableSequence['DataQualityColumnResult'] = proto.RepeatedField(
+        proto.MESSAGE,
+        number=10,
+        message='DataQualityColumnResult',
+    )
+    rules: MutableSequence['DataQualityRuleResult'] = proto.RepeatedField(
+        proto.MESSAGE,
+        number=3,
+        message='DataQualityRuleResult',
+    )
+    row_count: int = proto.Field(
+        proto.INT64,
+        number=4,
+    )
+    scanned_data: processing.ScannedData = proto.Field(
+        proto.MESSAGE,
+        number=7,
+        message=processing.ScannedData,
+    )
+    post_scan_actions_result: PostScanActionsResult = proto.Field(
+        proto.MESSAGE,
+        number=8,
+        message=PostScanActionsResult,
+    )
+
+
+class DataQualityRuleResult(proto.Message):
+    r"""DataQualityRuleResult provides a more detailed, per-rule view
+    of the results.
+
+    Attributes:
+        rule (google.cloud.dataplex_v1.types.DataQualityRule):
+            The rule specified in the DataQualitySpec, as
+            is.
+        passed (bool):
+            Whether the rule passed or failed.
+        evaluated_count (int):
+            The number of rows a rule was evaluated against.
+
+            This field is only valid for row-level type rules.
+
+            Evaluated count can be configured to either
+
+            -  include all rows (default) - with ``null`` rows
+               automatically failing rule evaluation, or
+            -  exclude ``null`` rows from the ``evaluated_count``, by
+               setting ``ignore_nulls = true``.
+        passed_count (int):
+            The number of rows which passed a rule
+            evaluation.
+            This field is only valid for row-level type
+            rules.
+        null_count (int):
+            The number of rows with null values in the
+            specified column.
+        pass_ratio (float):
+            The ratio of **passed_count / evaluated_count**.
+
+            This field is only valid for row-level type rules.
+        failing_rows_query (str):
+            The query to find rows that did not pass this
+            rule.
+            This field is only valid for row-level type
+            rules.
+        assertion_row_count (int):
+            Output only. The number of rows returned by
+            the SQL statement in a SQL assertion rule.
+
+            This field is only valid for SQL assertion
+            rules.
+    """
+
+    rule: 'DataQualityRule' = proto.Field(
+        proto.MESSAGE,
+        number=1,
+        message='DataQualityRule',
+    )
+    passed: bool = proto.Field(
+        proto.BOOL,
+        number=7,
+    )
+    evaluated_count: int = proto.Field(
+        proto.INT64,
+        number=9,
+    )
+    passed_count: int = proto.Field(
+        proto.INT64,
+        number=8,
+    )
+    null_count: int = proto.Field(
+        proto.INT64,
+        number=5,
+    )
+    pass_ratio: float = proto.Field(
+        proto.DOUBLE,
+        number=6,
+    )
+    failing_rows_query: str = proto.Field(
+        proto.STRING,
+        number=10,
+    )
+    assertion_row_count: int = proto.Field(
+        proto.INT64,
+        number=11,
+    )
+
+
+class DataQualityDimensionResult(proto.Message):
+    r"""DataQualityDimensionResult provides a more detailed,
+    per-dimension view of the results.
+
+
+    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
+
+    Attributes:
+        dimension (google.cloud.dataplex_v1.types.DataQualityDimension):
+            Output only. The dimension config specified
+            in the DataQualitySpec, as is.
+        passed (bool):
+            Whether the dimension passed or failed.
+        score (float):
+            Output only. The dimension-level data quality score for this
+            data scan job if and only if the 'dimension' field is set.
+
+            The score ranges between [0, 100] (up to two decimal
+            points).
+
+            This field is a member of `oneof`_ ``_score``.
+    """
+
+    dimension: 'DataQualityDimension' = proto.Field(
+        proto.MESSAGE,
+        number=1,
+        message='DataQualityDimension',
+    )
+    passed: bool = proto.Field(
+        proto.BOOL,
+        number=3,
+    )
+    score: float = proto.Field(
+        proto.FLOAT,
+        number=4,
+        optional=True,
+    )
+
+
+class DataQualityDimension(proto.Message):
+    r"""A dimension captures data quality intent about a defined
+    subset of the rules specified.
+
+    Attributes:
+        name (str):
+            The dimension name a rule belongs to. Supported dimensions
+            are ["COMPLETENESS", "ACCURACY", "CONSISTENCY", "VALIDITY",
+            "UNIQUENESS", "FRESHNESS", "VOLUME"]
+    """
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+
+
+class DataQualityRule(proto.Message):
+    r"""A rule captures data quality intent about a data source.
+
+    This message has `oneof`_ fields (mutually exclusive fields).
+    For each oneof, at most one member field can be set at the same time.
+    Setting any member of the oneof automatically clears all other
+    members.
+
+    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
+
+    Attributes:
+        range_expectation (google.cloud.dataplex_v1.types.DataQualityRule.RangeExpectation):
+            Row-level rule which evaluates whether each
+            column value lies between a specified range.
+
+            This field is a member of `oneof`_ ``rule_type``.
+        non_null_expectation (google.cloud.dataplex_v1.types.DataQualityRule.NonNullExpectation):
+            Row-level rule which evaluates whether each
+            column value is null.
+
+            This field is a member of `oneof`_ ``rule_type``.
+        set_expectation (google.cloud.dataplex_v1.types.DataQualityRule.SetExpectation):
+            Row-level rule which evaluates whether each
+            column value is contained by a specified set.
+
+            This field is a member of `oneof`_ ``rule_type``.
+        regex_expectation (google.cloud.dataplex_v1.types.DataQualityRule.RegexExpectation):
+            Row-level rule which evaluates whether each
+            column value matches a specified regex.
+
+            This field is a member of `oneof`_ ``rule_type``.
+        uniqueness_expectation (google.cloud.dataplex_v1.types.DataQualityRule.UniquenessExpectation):
+            Row-level rule which evaluates whether each
+            column value is unique.
+
+            This field is a member of `oneof`_ ``rule_type``.
+        statistic_range_expectation (google.cloud.dataplex_v1.types.DataQualityRule.StatisticRangeExpectation):
+            Aggregate rule which evaluates whether the
+            column aggregate statistic lies between a
+            specified range.
+
+            This field is a member of `oneof`_ ``rule_type``.
+        row_condition_expectation (google.cloud.dataplex_v1.types.DataQualityRule.RowConditionExpectation):
+            Row-level rule which evaluates whether each
+            row in a table passes the specified condition.
+
+            This field is a member of `oneof`_ ``rule_type``.
+        table_condition_expectation (google.cloud.dataplex_v1.types.DataQualityRule.TableConditionExpectation):
+            Aggregate rule which evaluates whether the
+            provided expression is true for a table.
+
+            This field is a member of `oneof`_ ``rule_type``.
+        sql_assertion (google.cloud.dataplex_v1.types.DataQualityRule.SqlAssertion):
+            Aggregate rule which evaluates the number of
+            rows returned for the provided statement. If any
+            rows are returned, this rule fails.
+
+            This field is a member of `oneof`_ ``rule_type``.
+        column (str):
+            Optional. The unnested column which this rule
+            is evaluated against.
+        ignore_null (bool):
+            Optional. Rows with ``null`` values will automatically fail
+            a rule, unless ``ignore_null`` is ``true``. In that case,
+            such ``null`` rows are trivially considered passing.
+
+            This field is only valid for the following type of rules:
+
+            -  RangeExpectation
+            -  RegexExpectation
+            -  SetExpectation
+            -  UniquenessExpectation
+        dimension (str):
+            Required. The dimension a rule belongs to. Results are also
+            aggregated at the dimension level. Supported dimensions are
+            **["COMPLETENESS", "ACCURACY", "CONSISTENCY", "VALIDITY",
+            "UNIQUENESS", "FRESHNESS", "VOLUME"]**
+        threshold (float):
+            Optional. The minimum ratio of **passing_rows / total_rows**
+            required to pass this rule, with a range of [0.0, 1.0].
+
+            0 indicates default value (i.e. 1.0).
+
+            This field is only valid for row-level type rules.
+        name (str):
+            Optional. A mutable name for the rule.
+
+            -  The name must contain only letters (a-z, A-Z), numbers
+               (0-9), or hyphens (-).
+            -  The maximum length is 63 characters.
+            -  Must start with a letter.
+            -  Must end with a number or a letter.
+        description (str):
+            Optional. Description of the rule.
+
+            -  The maximum length is 1,024 characters.
+        suspended (bool):
+            Optional. Whether the Rule is active or
+            suspended. Default is false.
+    """
+
+    class RangeExpectation(proto.Message):
+        r"""Evaluates whether each column value lies between a specified
+        range.
+
+        Attributes:
+            min_value (str):
+                Optional. The minimum column value allowed for a row to pass
+                this validation. At least one of ``min_value`` and
+                ``max_value`` need to be provided.
+            max_value (str):
+                Optional. The maximum column value allowed for a row to pass
+                this validation. At least one of ``min_value`` and
+                ``max_value`` need to be provided.
+            strict_min_enabled (bool):
+                Optional. Whether each value needs to be strictly greater
+                than ('>') the minimum, or if equality is allowed.
+
+                Only relevant if a ``min_value`` has been defined. Default =
+                false.
+            strict_max_enabled (bool):
+                Optional. Whether each value needs to be strictly lesser
+                than ('<') the maximum, or if equality is allowed.
+
+                Only relevant if a ``max_value`` has been defined. Default =
+                false.
+        """
+
+        min_value: str = proto.Field(
+            proto.STRING,
+            number=1,
+        )
+        max_value: str = proto.Field(
+            proto.STRING,
+            number=2,
+        )
+        strict_min_enabled: bool = proto.Field(
+            proto.BOOL,
+            number=3,
+        )
+        strict_max_enabled: bool = proto.Field(
+            proto.BOOL,
+            number=4,
+        )
+
+    class NonNullExpectation(proto.Message):
+        r"""Evaluates whether each column value is null.
+        """
+
+    class SetExpectation(proto.Message):
+        r"""Evaluates whether each column value is contained by a
+        specified set.
+
+        Attributes:
+            values (MutableSequence[str]):
+                Optional. Expected values for the column
+                value.
+        """
+
+        values: MutableSequence[str] = proto.RepeatedField(
+            proto.STRING,
+            number=1,
+        )
+
+    class RegexExpectation(proto.Message):
+        r"""Evaluates whether each column value matches a specified
+        regex.
+
+        Attributes:
+            regex (str):
+                Optional. A regular expression the column
+                value is expected to match.
+        """
+
+        regex: str = proto.Field(
+            proto.STRING,
+            number=1,
+        )
+
+    class UniquenessExpectation(proto.Message):
+        r"""Evaluates whether the column has duplicates.
+        """
+
+    class StatisticRangeExpectation(proto.Message):
+        r"""Evaluates whether the column aggregate statistic lies between
+        a specified range.
+
+        Attributes:
+            statistic (google.cloud.dataplex_v1.types.DataQualityRule.StatisticRangeExpectation.ColumnStatistic):
+                Optional. The aggregate metric to evaluate.
+            min_value (str):
+                Optional. The minimum column statistic value allowed for a
+                row to pass this validation.
+
+                At least one of ``min_value`` and ``max_value`` need to be
+                provided.
+            max_value (str):
+                Optional. The maximum column statistic value allowed for a
+                row to pass this validation.
+
+                At least one of ``min_value`` and ``max_value`` need to be
+                provided.
+            strict_min_enabled (bool):
+                Optional. Whether column statistic needs to be strictly
+                greater than ('>') the minimum, or if equality is allowed.
+
+                Only relevant if a ``min_value`` has been defined. Default =
+                false.
+            strict_max_enabled (bool):
+                Optional. Whether column statistic needs to be strictly
+                lesser than ('<') the maximum, or if equality is allowed.
+
+                Only relevant if a ``max_value`` has been defined. Default =
+                false.
+        """
+        class ColumnStatistic(proto.Enum):
+            r"""The list of aggregate metrics a rule can be evaluated
+            against.
+
+            Values:
+                STATISTIC_UNDEFINED (0):
+                    Unspecified statistic type
+                MEAN (1):
+                    Evaluate the column mean
+                MIN (2):
+                    Evaluate the column min
+                MAX (3):
+                    Evaluate the column max
+            """
+            STATISTIC_UNDEFINED = 0
+            MEAN = 1
+            MIN = 2
+            MAX = 3
+
+        statistic: 'DataQualityRule.StatisticRangeExpectation.ColumnStatistic' = proto.Field(
+            proto.ENUM,
+            number=1,
+            enum='DataQualityRule.StatisticRangeExpectation.ColumnStatistic',
+        )
+        min_value: str = proto.Field(
+            proto.STRING,
+            number=2,
+        )
+        max_value: str = proto.Field(
+            proto.STRING,
+            number=3,
+        )
+        strict_min_enabled: bool = proto.Field(
+            proto.BOOL,
+            number=4,
+        )
+        strict_max_enabled: bool = proto.Field(
+            proto.BOOL,
+            number=5,
+        )
+
+    class RowConditionExpectation(proto.Message):
+        r"""Evaluates whether each row passes the specified condition.
+
+        The SQL expression needs to use BigQuery standard SQL syntax and
+        should produce a boolean value per row as the result.
+
+        Example: col1 >= 0 AND col2 < 10
+
+        Attributes:
+            sql_expression (str):
+                Optional. The SQL expression.
+        """
+
+        sql_expression: str = proto.Field(
+            proto.STRING,
+            number=1,
+        )
+
+    class TableConditionExpectation(proto.Message):
+        r"""Evaluates whether the provided expression is true.
+
+        The SQL expression needs to use BigQuery standard SQL syntax and
+        should produce a scalar boolean result.
+
+        Example: MIN(col1) >= 0
+
+        Attributes:
+            sql_expression (str):
+                Optional. The SQL expression.
+        """
+
+        sql_expression: str = proto.Field(
+            proto.STRING,
+            number=1,
+        )
+
+    class SqlAssertion(proto.Message):
+        r"""A SQL statement that is evaluated to return rows that match an
+        invalid state. If any rows are are returned, this rule fails.
+
+        The SQL statement must use BigQuery standard SQL syntax, and must
+        not contain any semicolons.
+
+        You can use the data reference parameter ``${data()}`` to reference
+        the source table with all of its precondition filters applied.
+        Examples of precondition filters include row filters, incremental
+        data filters, and sampling. For more information, see `Data
+        reference
+        parameter <https://cloud.google.com/dataplex/docs/auto-data-quality-overview#data-reference-parameter>`__.
+
+        Example: ``SELECT * FROM ${data()} WHERE price < 0``
+
+        Attributes:
+            sql_statement (str):
+                Optional. The SQL statement.
+        """
+
+        sql_statement: str = proto.Field(
+            proto.STRING,
+            number=1,
+        )
+
+    range_expectation: RangeExpectation = proto.Field(
+        proto.MESSAGE,
+        number=1,
+        oneof='rule_type',
+        message=RangeExpectation,
+    )
+    non_null_expectation: NonNullExpectation = proto.Field(
+        proto.MESSAGE,
+        number=2,
+        oneof='rule_type',
+        message=NonNullExpectation,
+    )
+    set_expectation: SetExpectation = proto.Field(
+        proto.MESSAGE,
+        number=3,
+        oneof='rule_type',
+        message=SetExpectation,
+    )
+    regex_expectation: RegexExpectation = proto.Field(
+        proto.MESSAGE,
+        number=4,
+        oneof='rule_type',
+        message=RegexExpectation,
+    )
+    uniqueness_expectation: UniquenessExpectation = proto.Field(
+        proto.MESSAGE,
+        number=100,
+        oneof='rule_type',
+        message=UniquenessExpectation,
+    )
+    statistic_range_expectation: StatisticRangeExpectation = proto.Field(
+        proto.MESSAGE,
+        number=101,
+        oneof='rule_type',
+        message=StatisticRangeExpectation,
+    )
+    row_condition_expectation: RowConditionExpectation = proto.Field(
+        proto.MESSAGE,
+        number=200,
+        oneof='rule_type',
+        message=RowConditionExpectation,
+    )
+    table_condition_expectation: TableConditionExpectation = proto.Field(
+        proto.MESSAGE,
+        number=201,
+        oneof='rule_type',
+        message=TableConditionExpectation,
+    )
+    sql_assertion: SqlAssertion = proto.Field(
+        proto.MESSAGE,
+        number=202,
+        oneof='rule_type',
+        message=SqlAssertion,
+    )
+    column: str = proto.Field(
+        proto.STRING,
+        number=500,
+    )
+    ignore_null: bool = proto.Field(
+        proto.BOOL,
+        number=501,
+    )
+    dimension: str = proto.Field(
+        proto.STRING,
+        number=502,
+    )
+    threshold: float = proto.Field(
+        proto.DOUBLE,
+        number=503,
+    )
+    name: str = proto.Field(
+        proto.STRING,
+        number=504,
+    )
+    description: str = proto.Field(
+        proto.STRING,
+        number=505,
+    )
+    suspended: bool = proto.Field(
+        proto.BOOL,
+        number=506,
+    )
+
+
+class DataQualityColumnResult(proto.Message):
+    r"""DataQualityColumnResult provides a more detailed, per-column
+    view of the results.
+
+
+    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
+
+    Attributes:
+        column (str):
+            Output only. The column specified in the
+            DataQualityRule.
+        score (float):
+            Output only. The column-level data quality score for this
+            data scan job if and only if the 'column' field is set.
+
+            The score ranges between between [0, 100] (up to two decimal
+            points).
+
+            This field is a member of `oneof`_ ``_score``.
+    """
+
+    column: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    score: float = proto.Field(
+        proto.FLOAT,
+        number=2,
+        optional=True,
+    )
+
+
+__all__ = tuple(sorted(__protobuf__.manifest))
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/data_taxonomy.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/data_taxonomy.py
new file mode 100644
index 000000000000..e837b4b01d37
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/data_taxonomy.py
@@ -0,0 +1,976 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from __future__ import annotations
+
+from typing import MutableMapping, MutableSequence
+
+import proto  # type: ignore
+
+from google.cloud.dataplex_v1.types import security
+from google.protobuf import field_mask_pb2  # type: ignore
+from google.protobuf import timestamp_pb2  # type: ignore
+
+
+__protobuf__ = proto.module(
+    package='google.cloud.dataplex.v1',
+    manifest={
+        'DataTaxonomy',
+        'DataAttribute',
+        'DataAttributeBinding',
+        'CreateDataTaxonomyRequest',
+        'UpdateDataTaxonomyRequest',
+        'GetDataTaxonomyRequest',
+        'ListDataTaxonomiesRequest',
+        'ListDataTaxonomiesResponse',
+        'DeleteDataTaxonomyRequest',
+        'CreateDataAttributeRequest',
+        'UpdateDataAttributeRequest',
+        'GetDataAttributeRequest',
+        'ListDataAttributesRequest',
+        'ListDataAttributesResponse',
+        'DeleteDataAttributeRequest',
+        'CreateDataAttributeBindingRequest',
+        'UpdateDataAttributeBindingRequest',
+        'GetDataAttributeBindingRequest',
+        'ListDataAttributeBindingsRequest',
+        'ListDataAttributeBindingsResponse',
+        'DeleteDataAttributeBindingRequest',
+    },
+)
+
+
+class DataTaxonomy(proto.Message):
+    r"""DataTaxonomy represents a set of hierarchical DataAttributes
+    resources, grouped with a common theme Eg:
+    'SensitiveDataTaxonomy' can have attributes to manage PII data.
+    It is defined at project level.
+
+    Attributes:
+        name (str):
+            Output only. The relative resource name of the DataTaxonomy,
+            of the form:
+            projects/{project_number}/locations/{location_id}/dataTaxonomies/{data_taxonomy_id}.
+        uid (str):
+            Output only. System generated globally unique
+            ID for the dataTaxonomy. This ID will be
+            different if the DataTaxonomy is deleted and
+            re-created with the same name.
+        create_time (google.protobuf.timestamp_pb2.Timestamp):
+            Output only. The time when the DataTaxonomy
+            was created.
+        update_time (google.protobuf.timestamp_pb2.Timestamp):
+            Output only. The time when the DataTaxonomy
+            was last updated.
+        description (str):
+            Optional. Description of the DataTaxonomy.
+        display_name (str):
+            Optional. User friendly display name.
+        labels (MutableMapping[str, str]):
+            Optional. User-defined labels for the
+            DataTaxonomy.
+        attribute_count (int):
+            Output only. The number of attributes in the
+            DataTaxonomy.
+        etag (str):
+            This checksum is computed by the server based
+            on the value of other fields, and may be sent on
+            update and delete requests to ensure the client
+            has an up-to-date value before proceeding.
+        class_count (int):
+            Output only. The number of classes in the
+            DataTaxonomy.
+    """
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    uid: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+    create_time: timestamp_pb2.Timestamp = proto.Field(
+        proto.MESSAGE,
+        number=3,
+        message=timestamp_pb2.Timestamp,
+    )
+    update_time: timestamp_pb2.Timestamp = proto.Field(
+        proto.MESSAGE,
+        number=4,
+        message=timestamp_pb2.Timestamp,
+    )
+    description: str = proto.Field(
+        proto.STRING,
+        number=5,
+    )
+    display_name: str = proto.Field(
+        proto.STRING,
+        number=6,
+    )
+    labels: MutableMapping[str, str] = proto.MapField(
+        proto.STRING,
+        proto.STRING,
+        number=8,
+    )
+    attribute_count: int = proto.Field(
+        proto.INT32,
+        number=9,
+    )
+    etag: str = proto.Field(
+        proto.STRING,
+        number=10,
+    )
+    class_count: int = proto.Field(
+        proto.INT32,
+        number=11,
+    )
+
+
+class DataAttribute(proto.Message):
+    r"""Denotes one dataAttribute in a dataTaxonomy, for example, PII.
+    DataAttribute resources can be defined in a hierarchy. A single
+    dataAttribute resource can contain specs of multiple types
+
+    ::
+
+       PII
+         - ResourceAccessSpec :
+                       - readers :foo@bar.com
+         - DataAccessSpec :
+                       - readers :bar@foo.com
+
+    Attributes:
+        name (str):
+            Output only. The relative resource name of the
+            dataAttribute, of the form:
+            projects/{project_number}/locations/{location_id}/dataTaxonomies/{dataTaxonomy}/attributes/{data_attribute_id}.
+        uid (str):
+            Output only. System generated globally unique
+            ID for the DataAttribute. This ID will be
+            different if the DataAttribute is deleted and
+            re-created with the same name.
+        create_time (google.protobuf.timestamp_pb2.Timestamp):
+            Output only. The time when the DataAttribute
+            was created.
+        update_time (google.protobuf.timestamp_pb2.Timestamp):
+            Output only. The time when the DataAttribute
+            was last updated.
+        description (str):
+            Optional. Description of the DataAttribute.
+        display_name (str):
+            Optional. User friendly display name.
+        labels (MutableMapping[str, str]):
+            Optional. User-defined labels for the
+            DataAttribute.
+        parent_id (str):
+            Optional. The ID of the parent DataAttribute resource,
+            should belong to the same data taxonomy. Circular dependency
+            in parent chain is not valid. Maximum depth of the hierarchy
+            allowed is 4. [a -> b -> c -> d -> e, depth = 4]
+        attribute_count (int):
+            Output only. The number of child attributes
+            present for this attribute.
+        etag (str):
+            This checksum is computed by the server based
+            on the value of other fields, and may be sent on
+            update and delete requests to ensure the client
+            has an up-to-date value before proceeding.
+        resource_access_spec (google.cloud.dataplex_v1.types.ResourceAccessSpec):
+            Optional. Specified when applied to a
+            resource (eg: Cloud Storage bucket, BigQuery
+            dataset, BigQuery table).
+        data_access_spec (google.cloud.dataplex_v1.types.DataAccessSpec):
+            Optional. Specified when applied to data
+            stored on the resource (eg: rows, columns in
+            BigQuery Tables).
+    """
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    uid: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+    create_time: timestamp_pb2.Timestamp = proto.Field(
+        proto.MESSAGE,
+        number=3,
+        message=timestamp_pb2.Timestamp,
+    )
+    update_time: timestamp_pb2.Timestamp = proto.Field(
+        proto.MESSAGE,
+        number=4,
+        message=timestamp_pb2.Timestamp,
+    )
+    description: str = proto.Field(
+        proto.STRING,
+        number=5,
+    )
+    display_name: str = proto.Field(
+        proto.STRING,
+        number=6,
+    )
+    labels: MutableMapping[str, str] = proto.MapField(
+        proto.STRING,
+        proto.STRING,
+        number=7,
+    )
+    parent_id: str = proto.Field(
+        proto.STRING,
+        number=8,
+    )
+    attribute_count: int = proto.Field(
+        proto.INT32,
+        number=9,
+    )
+    etag: str = proto.Field(
+        proto.STRING,
+        number=10,
+    )
+    resource_access_spec: security.ResourceAccessSpec = proto.Field(
+        proto.MESSAGE,
+        number=100,
+        message=security.ResourceAccessSpec,
+    )
+    data_access_spec: security.DataAccessSpec = proto.Field(
+        proto.MESSAGE,
+        number=101,
+        message=security.DataAccessSpec,
+    )
+
+
+class DataAttributeBinding(proto.Message):
+    r"""DataAttributeBinding represents binding of attributes to
+    resources. Eg: Bind 'CustomerInfo' entity with 'PII' attribute.
+
+
+    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
+
+    Attributes:
+        name (str):
+            Output only. The relative resource name of the Data
+            Attribute Binding, of the form:
+            projects/{project_number}/locations/{location}/dataAttributeBindings/{data_attribute_binding_id}
+        uid (str):
+            Output only. System generated globally unique
+            ID for the DataAttributeBinding. This ID will be
+            different if the DataAttributeBinding is deleted
+            and re-created with the same name.
+        create_time (google.protobuf.timestamp_pb2.Timestamp):
+            Output only. The time when the
+            DataAttributeBinding was created.
+        update_time (google.protobuf.timestamp_pb2.Timestamp):
+            Output only. The time when the
+            DataAttributeBinding was last updated.
+        description (str):
+            Optional. Description of the
+            DataAttributeBinding.
+        display_name (str):
+            Optional. User friendly display name.
+        labels (MutableMapping[str, str]):
+            Optional. User-defined labels for the
+            DataAttributeBinding.
+        etag (str):
+            This checksum is computed by the server based
+            on the value of other fields, and may be sent on
+            update and delete requests to ensure the client
+            has an up-to-date value before proceeding. Etags
+            must be used when calling the
+            DeleteDataAttributeBinding and the
+            UpdateDataAttributeBinding method.
+        resource (str):
+            Optional. Immutable. The resource name of the resource that
+            is associated to attributes. Presently, only entity resource
+            is supported in the form:
+            projects/{project}/locations/{location}/lakes/{lake}/zones/{zone}/entities/{entity_id}
+            Must belong in the same project and region as the attribute
+            binding, and there can only exist one active binding for a
+            resource.
+
+            This field is a member of `oneof`_ ``resource_reference``.
+        attributes (MutableSequence[str]):
+            Optional. List of attributes to be associated with the
+            resource, provided in the form:
+            projects/{project}/locations/{location}/dataTaxonomies/{dataTaxonomy}/attributes/{data_attribute_id}
+        paths (MutableSequence[google.cloud.dataplex_v1.types.DataAttributeBinding.Path]):
+            Optional. The list of paths for items within
+            the associated resource (eg. columns and
+            partitions within a table) along with attribute
+            bindings.
+    """
+
+    class Path(proto.Message):
+        r"""Represents a subresource of the given resource, and
+        associated bindings with it. Currently supported subresources
+        are column and partition schema fields within a table.
+
+        Attributes:
+            name (str):
+                Required. The name identifier of the path.
+                Nested columns should be of the form:
+                'address.city'.
+            attributes (MutableSequence[str]):
+                Optional. List of attributes to be associated with the path
+                of the resource, provided in the form:
+                projects/{project}/locations/{location}/dataTaxonomies/{dataTaxonomy}/attributes/{data_attribute_id}
+        """
+
+        name: str = proto.Field(
+            proto.STRING,
+            number=1,
+        )
+        attributes: MutableSequence[str] = proto.RepeatedField(
+            proto.STRING,
+            number=2,
+        )
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    uid: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+    create_time: timestamp_pb2.Timestamp = proto.Field(
+        proto.MESSAGE,
+        number=3,
+        message=timestamp_pb2.Timestamp,
+    )
+    update_time: timestamp_pb2.Timestamp = proto.Field(
+        proto.MESSAGE,
+        number=4,
+        message=timestamp_pb2.Timestamp,
+    )
+    description: str = proto.Field(
+        proto.STRING,
+        number=5,
+    )
+    display_name: str = proto.Field(
+        proto.STRING,
+        number=6,
+    )
+    labels: MutableMapping[str, str] = proto.MapField(
+        proto.STRING,
+        proto.STRING,
+        number=7,
+    )
+    etag: str = proto.Field(
+        proto.STRING,
+        number=8,
+    )
+    resource: str = proto.Field(
+        proto.STRING,
+        number=100,
+        oneof='resource_reference',
+    )
+    attributes: MutableSequence[str] = proto.RepeatedField(
+        proto.STRING,
+        number=110,
+    )
+    paths: MutableSequence[Path] = proto.RepeatedField(
+        proto.MESSAGE,
+        number=120,
+        message=Path,
+    )
+
+
+class CreateDataTaxonomyRequest(proto.Message):
+    r"""Create DataTaxonomy request.
+
+    Attributes:
+        parent (str):
+            Required. The resource name of the data taxonomy location,
+            of the form:
+            projects/{project_number}/locations/{location_id} where
+            ``location_id`` refers to a GCP region.
+        data_taxonomy_id (str):
+            Required. DataTaxonomy identifier.
+
+            -  Must contain only lowercase letters, numbers and hyphens.
+            -  Must start with a letter.
+            -  Must be between 1-63 characters.
+            -  Must end with a number or a letter.
+            -  Must be unique within the Project.
+        data_taxonomy (google.cloud.dataplex_v1.types.DataTaxonomy):
+            Required. DataTaxonomy resource.
+        validate_only (bool):
+            Optional. Only validate the request, but do
+            not perform mutations. The default is false.
+    """
+
+    parent: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    data_taxonomy_id: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+    data_taxonomy: 'DataTaxonomy' = proto.Field(
+        proto.MESSAGE,
+        number=3,
+        message='DataTaxonomy',
+    )
+    validate_only: bool = proto.Field(
+        proto.BOOL,
+        number=4,
+    )
+
+
+class UpdateDataTaxonomyRequest(proto.Message):
+    r"""Update DataTaxonomy request.
+
+    Attributes:
+        update_mask (google.protobuf.field_mask_pb2.FieldMask):
+            Required. Mask of fields to update.
+        data_taxonomy (google.cloud.dataplex_v1.types.DataTaxonomy):
+            Required. Only fields specified in ``update_mask`` are
+            updated.
+        validate_only (bool):
+            Optional. Only validate the request, but do
+            not perform mutations. The default is false.
+    """
+
+    update_mask: field_mask_pb2.FieldMask = proto.Field(
+        proto.MESSAGE,
+        number=1,
+        message=field_mask_pb2.FieldMask,
+    )
+    data_taxonomy: 'DataTaxonomy' = proto.Field(
+        proto.MESSAGE,
+        number=2,
+        message='DataTaxonomy',
+    )
+    validate_only: bool = proto.Field(
+        proto.BOOL,
+        number=3,
+    )
+
+
+class GetDataTaxonomyRequest(proto.Message):
+    r"""Get DataTaxonomy request.
+
+    Attributes:
+        name (str):
+            Required. The resource name of the DataTaxonomy:
+            projects/{project_number}/locations/{location_id}/dataTaxonomies/{data_taxonomy_id}
+    """
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+
+
+class ListDataTaxonomiesRequest(proto.Message):
+    r"""List DataTaxonomies request.
+
+    Attributes:
+        parent (str):
+            Required. The resource name of the DataTaxonomy location, of
+            the form: projects/{project_number}/locations/{location_id}
+            where ``location_id`` refers to a GCP region.
+        page_size (int):
+            Optional. Maximum number of DataTaxonomies to
+            return. The service may return fewer than this
+            value. If unspecified, at most 10 DataTaxonomies
+            will be returned. The maximum value is 1000;
+            values above 1000 will be coerced to 1000.
+        page_token (str):
+            Optional. Page token received from a previous
+            ``ListDataTaxonomies`` call. Provide this to retrieve the
+            subsequent page. When paginating, all other parameters
+            provided to ``ListDataTaxonomies`` must match the call that
+            provided the page token.
+        filter (str):
+            Optional. Filter request.
+        order_by (str):
+            Optional. Order by fields for the result.
+    """
+
+    parent: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    page_size: int = proto.Field(
+        proto.INT32,
+        number=2,
+    )
+    page_token: str = proto.Field(
+        proto.STRING,
+        number=3,
+    )
+    filter: str = proto.Field(
+        proto.STRING,
+        number=4,
+    )
+    order_by: str = proto.Field(
+        proto.STRING,
+        number=5,
+    )
+
+
+class ListDataTaxonomiesResponse(proto.Message):
+    r"""List DataTaxonomies response.
+
+    Attributes:
+        data_taxonomies (MutableSequence[google.cloud.dataplex_v1.types.DataTaxonomy]):
+            DataTaxonomies under the given parent
+            location.
+        next_page_token (str):
+            Token to retrieve the next page of results,
+            or empty if there are no more results in the
+            list.
+        unreachable_locations (MutableSequence[str]):
+            Locations that could not be reached.
+    """
+
+    @property
+    def raw_page(self):
+        return self
+
+    data_taxonomies: MutableSequence['DataTaxonomy'] = proto.RepeatedField(
+        proto.MESSAGE,
+        number=1,
+        message='DataTaxonomy',
+    )
+    next_page_token: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+    unreachable_locations: MutableSequence[str] = proto.RepeatedField(
+        proto.STRING,
+        number=3,
+    )
+
+
+class DeleteDataTaxonomyRequest(proto.Message):
+    r"""Delete DataTaxonomy request.
+
+    Attributes:
+        name (str):
+            Required. The resource name of the DataTaxonomy:
+            projects/{project_number}/locations/{location_id}/dataTaxonomies/{data_taxonomy_id}
+        etag (str):
+            Optional. If the client provided etag value
+            does not match the current etag value,the
+            DeleteDataTaxonomy method returns an ABORTED
+            error.
+    """
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    etag: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+
+
+class CreateDataAttributeRequest(proto.Message):
+    r"""Create DataAttribute request.
+
+    Attributes:
+        parent (str):
+            Required. The resource name of the parent data taxonomy
+            projects/{project_number}/locations/{location_id}/dataTaxonomies/{data_taxonomy_id}
+        data_attribute_id (str):
+            Required. DataAttribute identifier.
+
+            -  Must contain only lowercase letters, numbers and hyphens.
+            -  Must start with a letter.
+            -  Must be between 1-63 characters.
+            -  Must end with a number or a letter.
+            -  Must be unique within the DataTaxonomy.
+        data_attribute (google.cloud.dataplex_v1.types.DataAttribute):
+            Required. DataAttribute resource.
+        validate_only (bool):
+            Optional. Only validate the request, but do
+            not perform mutations. The default is false.
+    """
+
+    parent: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    data_attribute_id: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+    data_attribute: 'DataAttribute' = proto.Field(
+        proto.MESSAGE,
+        number=3,
+        message='DataAttribute',
+    )
+    validate_only: bool = proto.Field(
+        proto.BOOL,
+        number=4,
+    )
+
+
+class UpdateDataAttributeRequest(proto.Message):
+    r"""Update DataAttribute request.
+
+    Attributes:
+        update_mask (google.protobuf.field_mask_pb2.FieldMask):
+            Required. Mask of fields to update.
+        data_attribute (google.cloud.dataplex_v1.types.DataAttribute):
+            Required. Only fields specified in ``update_mask`` are
+            updated.
+        validate_only (bool):
+            Optional. Only validate the request, but do
+            not perform mutations. The default is false.
+    """
+
+    update_mask: field_mask_pb2.FieldMask = proto.Field(
+        proto.MESSAGE,
+        number=1,
+        message=field_mask_pb2.FieldMask,
+    )
+    data_attribute: 'DataAttribute' = proto.Field(
+        proto.MESSAGE,
+        number=2,
+        message='DataAttribute',
+    )
+    validate_only: bool = proto.Field(
+        proto.BOOL,
+        number=3,
+    )
+
+
+class GetDataAttributeRequest(proto.Message):
+    r"""Get DataAttribute request.
+
+    Attributes:
+        name (str):
+            Required. The resource name of the dataAttribute:
+            projects/{project_number}/locations/{location_id}/dataTaxonomies/{dataTaxonomy}/attributes/{data_attribute_id}
+    """
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+
+
+class ListDataAttributesRequest(proto.Message):
+    r"""List DataAttributes request.
+
+    Attributes:
+        parent (str):
+            Required. The resource name of the DataTaxonomy:
+            projects/{project_number}/locations/{location_id}/dataTaxonomies/{data_taxonomy_id}
+        page_size (int):
+            Optional. Maximum number of DataAttributes to
+            return. The service may return fewer than this
+            value. If unspecified, at most 10 dataAttributes
+            will be returned. The maximum value is 1000;
+            values above 1000 will be coerced to 1000.
+        page_token (str):
+            Optional. Page token received from a previous
+            ``ListDataAttributes`` call. Provide this to retrieve the
+            subsequent page. When paginating, all other parameters
+            provided to ``ListDataAttributes`` must match the call that
+            provided the page token.
+        filter (str):
+            Optional. Filter request.
+        order_by (str):
+            Optional. Order by fields for the result.
+    """
+
+    parent: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    page_size: int = proto.Field(
+        proto.INT32,
+        number=2,
+    )
+    page_token: str = proto.Field(
+        proto.STRING,
+        number=3,
+    )
+    filter: str = proto.Field(
+        proto.STRING,
+        number=4,
+    )
+    order_by: str = proto.Field(
+        proto.STRING,
+        number=5,
+    )
+
+
+class ListDataAttributesResponse(proto.Message):
+    r"""List DataAttributes response.
+
+    Attributes:
+        data_attributes (MutableSequence[google.cloud.dataplex_v1.types.DataAttribute]):
+            DataAttributes under the given parent
+            DataTaxonomy.
+        next_page_token (str):
+            Token to retrieve the next page of results,
+            or empty if there are no more results in the
+            list.
+        unreachable_locations (MutableSequence[str]):
+            Locations that could not be reached.
+    """
+
+    @property
+    def raw_page(self):
+        return self
+
+    data_attributes: MutableSequence['DataAttribute'] = proto.RepeatedField(
+        proto.MESSAGE,
+        number=1,
+        message='DataAttribute',
+    )
+    next_page_token: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+    unreachable_locations: MutableSequence[str] = proto.RepeatedField(
+        proto.STRING,
+        number=3,
+    )
+
+
+class DeleteDataAttributeRequest(proto.Message):
+    r"""Delete DataAttribute request.
+
+    Attributes:
+        name (str):
+            Required. The resource name of the DataAttribute:
+            projects/{project_number}/locations/{location_id}/dataTaxonomies/{dataTaxonomy}/attributes/{data_attribute_id}
+        etag (str):
+            Optional. If the client provided etag value
+            does not match the current etag value, the
+            DeleteDataAttribute method returns an ABORTED
+            error response.
+    """
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    etag: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+
+
+class CreateDataAttributeBindingRequest(proto.Message):
+    r"""Create DataAttributeBinding request.
+
+    Attributes:
+        parent (str):
+            Required. The resource name of the parent data taxonomy
+            projects/{project_number}/locations/{location_id}
+        data_attribute_binding_id (str):
+            Required. DataAttributeBinding identifier.
+
+            -  Must contain only lowercase letters, numbers and hyphens.
+            -  Must start with a letter.
+            -  Must be between 1-63 characters.
+            -  Must end with a number or a letter.
+            -  Must be unique within the Location.
+        data_attribute_binding (google.cloud.dataplex_v1.types.DataAttributeBinding):
+            Required. DataAttributeBinding resource.
+        validate_only (bool):
+            Optional. Only validate the request, but do
+            not perform mutations. The default is false.
+    """
+
+    parent: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    data_attribute_binding_id: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+    data_attribute_binding: 'DataAttributeBinding' = proto.Field(
+        proto.MESSAGE,
+        number=3,
+        message='DataAttributeBinding',
+    )
+    validate_only: bool = proto.Field(
+        proto.BOOL,
+        number=4,
+    )
+
+
+class UpdateDataAttributeBindingRequest(proto.Message):
+    r"""Update DataAttributeBinding request.
+
+    Attributes:
+        update_mask (google.protobuf.field_mask_pb2.FieldMask):
+            Required. Mask of fields to update.
+        data_attribute_binding (google.cloud.dataplex_v1.types.DataAttributeBinding):
+            Required. Only fields specified in ``update_mask`` are
+            updated.
+        validate_only (bool):
+            Optional. Only validate the request, but do
+            not perform mutations. The default is false.
+    """
+
+    update_mask: field_mask_pb2.FieldMask = proto.Field(
+        proto.MESSAGE,
+        number=1,
+        message=field_mask_pb2.FieldMask,
+    )
+    data_attribute_binding: 'DataAttributeBinding' = proto.Field(
+        proto.MESSAGE,
+        number=2,
+        message='DataAttributeBinding',
+    )
+    validate_only: bool = proto.Field(
+        proto.BOOL,
+        number=3,
+    )
+
+
+class GetDataAttributeBindingRequest(proto.Message):
+    r"""Get DataAttributeBinding request.
+
+    Attributes:
+        name (str):
+            Required. The resource name of the DataAttributeBinding:
+            projects/{project_number}/locations/{location_id}/dataAttributeBindings/{data_attribute_binding_id}
+    """
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+
+
+class ListDataAttributeBindingsRequest(proto.Message):
+    r"""List DataAttributeBindings request.
+
+    Attributes:
+        parent (str):
+            Required. The resource name of the Location:
+            projects/{project_number}/locations/{location_id}
+        page_size (int):
+            Optional. Maximum number of
+            DataAttributeBindings to return. The service may
+            return fewer than this value. If unspecified, at
+            most 10 DataAttributeBindings will be returned.
+            The maximum value is 1000; values above 1000
+            will be coerced to 1000.
+        page_token (str):
+            Optional. Page token received from a previous
+            ``ListDataAttributeBindings`` call. Provide this to retrieve
+            the subsequent page. When paginating, all other parameters
+            provided to ``ListDataAttributeBindings`` must match the
+            call that provided the page token.
+        filter (str):
+            Optional. Filter request.
+            Filter using resource:
+            filter=resource:"resource-name" Filter using
+            attribute: filter=attributes:"attribute-name"
+            Filter using attribute in paths list:
+
+            filter=paths.attributes:"attribute-name".
+        order_by (str):
+            Optional. Order by fields for the result.
+    """
+
+    parent: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    page_size: int = proto.Field(
+        proto.INT32,
+        number=2,
+    )
+    page_token: str = proto.Field(
+        proto.STRING,
+        number=3,
+    )
+    filter: str = proto.Field(
+        proto.STRING,
+        number=4,
+    )
+    order_by: str = proto.Field(
+        proto.STRING,
+        number=5,
+    )
+
+
+class ListDataAttributeBindingsResponse(proto.Message):
+    r"""List DataAttributeBindings response.
+
+    Attributes:
+        data_attribute_bindings (MutableSequence[google.cloud.dataplex_v1.types.DataAttributeBinding]):
+            DataAttributeBindings under the given parent
+            Location.
+        next_page_token (str):
+            Token to retrieve the next page of results,
+            or empty if there are no more results in the
+            list.
+        unreachable_locations (MutableSequence[str]):
+            Locations that could not be reached.
+    """
+
+    @property
+    def raw_page(self):
+        return self
+
+    data_attribute_bindings: MutableSequence['DataAttributeBinding'] = proto.RepeatedField(
+        proto.MESSAGE,
+        number=1,
+        message='DataAttributeBinding',
+    )
+    next_page_token: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+    unreachable_locations: MutableSequence[str] = proto.RepeatedField(
+        proto.STRING,
+        number=3,
+    )
+
+
+class DeleteDataAttributeBindingRequest(proto.Message):
+    r"""Delete DataAttributeBinding request.
+
+    Attributes:
+        name (str):
+            Required. The resource name of the DataAttributeBinding:
+            projects/{project_number}/locations/{location_id}/dataAttributeBindings/{data_attribute_binding_id}
+        etag (str):
+            Required. If the client provided etag value
+            does not match the current etag value, the
+            DeleteDataAttributeBindingRequest method returns
+            an ABORTED error response. Etags must be used
+            when calling the DeleteDataAttributeBinding.
+    """
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    etag: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+
+
+__all__ = tuple(sorted(__protobuf__.manifest))
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/datascans.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/datascans.py
new file mode 100644
index 000000000000..5dc0236e91fd
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/datascans.py
@@ -0,0 +1,905 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from __future__ import annotations
+
+from typing import MutableMapping, MutableSequence
+
+import proto  # type: ignore
+
+from google.cloud.dataplex_v1.types import data_discovery
+from google.cloud.dataplex_v1.types import data_profile
+from google.cloud.dataplex_v1.types import data_quality
+from google.cloud.dataplex_v1.types import processing
+from google.cloud.dataplex_v1.types import resources
+from google.protobuf import field_mask_pb2  # type: ignore
+from google.protobuf import timestamp_pb2  # type: ignore
+
+
+__protobuf__ = proto.module(
+    package='google.cloud.dataplex.v1',
+    manifest={
+        'DataScanType',
+        'CreateDataScanRequest',
+        'UpdateDataScanRequest',
+        'DeleteDataScanRequest',
+        'GetDataScanRequest',
+        'ListDataScansRequest',
+        'ListDataScansResponse',
+        'RunDataScanRequest',
+        'RunDataScanResponse',
+        'GetDataScanJobRequest',
+        'ListDataScanJobsRequest',
+        'ListDataScanJobsResponse',
+        'GenerateDataQualityRulesRequest',
+        'GenerateDataQualityRulesResponse',
+        'DataScan',
+        'DataScanJob',
+    },
+)
+
+
+class DataScanType(proto.Enum):
+    r"""The type of data scan.
+
+    Values:
+        DATA_SCAN_TYPE_UNSPECIFIED (0):
+            The data scan type is unspecified.
+        DATA_QUALITY (1):
+            Data quality scan.
+        DATA_PROFILE (2):
+            Data profile scan.
+        DATA_DISCOVERY (3):
+            Data discovery scan.
+    """
+    DATA_SCAN_TYPE_UNSPECIFIED = 0
+    DATA_QUALITY = 1
+    DATA_PROFILE = 2
+    DATA_DISCOVERY = 3
+
+
+class CreateDataScanRequest(proto.Message):
+    r"""Create dataScan request.
+
+    Attributes:
+        parent (str):
+            Required. The resource name of the parent location:
+            ``projects/{project}/locations/{location_id}`` where
+            ``project`` refers to a *project_id* or *project_number* and
+            ``location_id`` refers to a GCP region.
+        data_scan (google.cloud.dataplex_v1.types.DataScan):
+            Required. DataScan resource.
+        data_scan_id (str):
+            Required. DataScan identifier.
+
+            -  Must contain only lowercase letters, numbers and hyphens.
+            -  Must start with a letter.
+            -  Must end with a number or a letter.
+            -  Must be between 1-63 characters.
+            -  Must be unique within the customer project / location.
+        validate_only (bool):
+            Optional. Only validate the request, but do not perform
+            mutations. The default is ``false``.
+    """
+
+    parent: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    data_scan: 'DataScan' = proto.Field(
+        proto.MESSAGE,
+        number=2,
+        message='DataScan',
+    )
+    data_scan_id: str = proto.Field(
+        proto.STRING,
+        number=3,
+    )
+    validate_only: bool = proto.Field(
+        proto.BOOL,
+        number=4,
+    )
+
+
+class UpdateDataScanRequest(proto.Message):
+    r"""Update dataScan request.
+
+    Attributes:
+        data_scan (google.cloud.dataplex_v1.types.DataScan):
+            Required. DataScan resource to be updated.
+
+            Only fields specified in ``update_mask`` are updated.
+        update_mask (google.protobuf.field_mask_pb2.FieldMask):
+            Required. Mask of fields to update.
+        validate_only (bool):
+            Optional. Only validate the request, but do not perform
+            mutations. The default is ``false``.
+    """
+
+    data_scan: 'DataScan' = proto.Field(
+        proto.MESSAGE,
+        number=1,
+        message='DataScan',
+    )
+    update_mask: field_mask_pb2.FieldMask = proto.Field(
+        proto.MESSAGE,
+        number=2,
+        message=field_mask_pb2.FieldMask,
+    )
+    validate_only: bool = proto.Field(
+        proto.BOOL,
+        number=3,
+    )
+
+
+class DeleteDataScanRequest(proto.Message):
+    r"""Delete dataScan request.
+
+    Attributes:
+        name (str):
+            Required. The resource name of the dataScan:
+            ``projects/{project}/locations/{location_id}/dataScans/{data_scan_id}``
+            where ``project`` refers to a *project_id* or
+            *project_number* and ``location_id`` refers to a GCP region.
+    """
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+
+
+class GetDataScanRequest(proto.Message):
+    r"""Get dataScan request.
+
+    Attributes:
+        name (str):
+            Required. The resource name of the dataScan:
+            ``projects/{project}/locations/{location_id}/dataScans/{data_scan_id}``
+            where ``project`` refers to a *project_id* or
+            *project_number* and ``location_id`` refers to a GCP region.
+        view (google.cloud.dataplex_v1.types.GetDataScanRequest.DataScanView):
+            Optional. Select the DataScan view to return. Defaults to
+            ``BASIC``.
+    """
+    class DataScanView(proto.Enum):
+        r"""DataScan view options.
+
+        Values:
+            DATA_SCAN_VIEW_UNSPECIFIED (0):
+                The API will default to the ``BASIC`` view.
+            BASIC (1):
+                Basic view that does not include *spec* and *result*.
+            FULL (10):
+                Include everything.
+        """
+        DATA_SCAN_VIEW_UNSPECIFIED = 0
+        BASIC = 1
+        FULL = 10
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    view: DataScanView = proto.Field(
+        proto.ENUM,
+        number=2,
+        enum=DataScanView,
+    )
+
+
+class ListDataScansRequest(proto.Message):
+    r"""List dataScans request.
+
+    Attributes:
+        parent (str):
+            Required. The resource name of the parent location:
+            ``projects/{project}/locations/{location_id}`` where
+            ``project`` refers to a *project_id* or *project_number* and
+            ``location_id`` refers to a GCP region.
+        page_size (int):
+            Optional. Maximum number of dataScans to
+            return. The service may return fewer than this
+            value. If unspecified, at most 500 scans will be
+            returned. The maximum value is 1000; values
+            above 1000 will be coerced to 1000.
+        page_token (str):
+            Optional. Page token received from a previous
+            ``ListDataScans`` call. Provide this to retrieve the
+            subsequent page. When paginating, all other parameters
+            provided to ``ListDataScans`` must match the call that
+            provided the page token.
+        filter (str):
+            Optional. Filter request.
+        order_by (str):
+            Optional. Order by fields (``name`` or ``create_time``) for
+            the result. If not specified, the ordering is undefined.
+    """
+
+    parent: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    page_size: int = proto.Field(
+        proto.INT32,
+        number=2,
+    )
+    page_token: str = proto.Field(
+        proto.STRING,
+        number=3,
+    )
+    filter: str = proto.Field(
+        proto.STRING,
+        number=4,
+    )
+    order_by: str = proto.Field(
+        proto.STRING,
+        number=5,
+    )
+
+
+class ListDataScansResponse(proto.Message):
+    r"""List dataScans response.
+
+    Attributes:
+        data_scans (MutableSequence[google.cloud.dataplex_v1.types.DataScan]):
+            DataScans (``BASIC`` view only) under the given parent
+            location.
+        next_page_token (str):
+            Token to retrieve the next page of results,
+            or empty if there are no more results in the
+            list.
+        unreachable (MutableSequence[str]):
+            Locations that could not be reached.
+    """
+
+    @property
+    def raw_page(self):
+        return self
+
+    data_scans: MutableSequence['DataScan'] = proto.RepeatedField(
+        proto.MESSAGE,
+        number=1,
+        message='DataScan',
+    )
+    next_page_token: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+    unreachable: MutableSequence[str] = proto.RepeatedField(
+        proto.STRING,
+        number=3,
+    )
+
+
+class RunDataScanRequest(proto.Message):
+    r"""Run DataScan Request
+
+    Attributes:
+        name (str):
+            Required. The resource name of the DataScan:
+            ``projects/{project}/locations/{location_id}/dataScans/{data_scan_id}``.
+            where ``project`` refers to a *project_id* or
+            *project_number* and ``location_id`` refers to a GCP region.
+
+            Only **OnDemand** data scans are allowed.
+    """
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+
+
+class RunDataScanResponse(proto.Message):
+    r"""Run DataScan Response.
+
+    Attributes:
+        job (google.cloud.dataplex_v1.types.DataScanJob):
+            DataScanJob created by RunDataScan request.
+    """
+
+    job: 'DataScanJob' = proto.Field(
+        proto.MESSAGE,
+        number=1,
+        message='DataScanJob',
+    )
+
+
+class GetDataScanJobRequest(proto.Message):
+    r"""Get DataScanJob request.
+
+    Attributes:
+        name (str):
+            Required. The resource name of the DataScanJob:
+            ``projects/{project}/locations/{location_id}/dataScans/{data_scan_id}/jobs/{data_scan_job_id}``
+            where ``project`` refers to a *project_id* or
+            *project_number* and ``location_id`` refers to a GCP region.
+        view (google.cloud.dataplex_v1.types.GetDataScanJobRequest.DataScanJobView):
+            Optional. Select the DataScanJob view to return. Defaults to
+            ``BASIC``.
+    """
+    class DataScanJobView(proto.Enum):
+        r"""DataScanJob view options.
+
+        Values:
+            DATA_SCAN_JOB_VIEW_UNSPECIFIED (0):
+                The API will default to the ``BASIC`` view.
+            BASIC (1):
+                Basic view that does not include *spec* and *result*.
+            FULL (10):
+                Include everything.
+        """
+        DATA_SCAN_JOB_VIEW_UNSPECIFIED = 0
+        BASIC = 1
+        FULL = 10
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    view: DataScanJobView = proto.Field(
+        proto.ENUM,
+        number=2,
+        enum=DataScanJobView,
+    )
+
+
+class ListDataScanJobsRequest(proto.Message):
+    r"""List DataScanJobs request.
+
+    Attributes:
+        parent (str):
+            Required. The resource name of the parent environment:
+            ``projects/{project}/locations/{location_id}/dataScans/{data_scan_id}``
+            where ``project`` refers to a *project_id* or
+            *project_number* and ``location_id`` refers to a GCP region.
+        page_size (int):
+            Optional. Maximum number of DataScanJobs to
+            return. The service may return fewer than this
+            value. If unspecified, at most 10 DataScanJobs
+            will be returned. The maximum value is 1000;
+            values above 1000 will be coerced to 1000.
+        page_token (str):
+            Optional. Page token received from a previous
+            ``ListDataScanJobs`` call. Provide this to retrieve the
+            subsequent page. When paginating, all other parameters
+            provided to ``ListDataScanJobs`` must match the call that
+            provided the page token.
+        filter (str):
+            Optional. An expression for filtering the results of the
+            ListDataScanJobs request.
+
+            If unspecified, all datascan jobs will be returned. Multiple
+            filters can be applied (with ``AND``, ``OR`` logical
+            operators). Filters are case-sensitive.
+
+            Allowed fields are:
+
+            -  ``start_time``
+            -  ``end_time``
+
+            ``start_time`` and ``end_time`` expect RFC-3339 formatted
+            strings (e.g. 2018-10-08T18:30:00-07:00).
+
+            For instance, 'start_time > 2018-10-08T00:00:00.123456789Z
+            AND end_time < 2018-10-09T00:00:00.123456789Z' limits
+            results to DataScanJobs between specified start and end
+            times.
+    """
+
+    parent: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    page_size: int = proto.Field(
+        proto.INT32,
+        number=2,
+    )
+    page_token: str = proto.Field(
+        proto.STRING,
+        number=3,
+    )
+    filter: str = proto.Field(
+        proto.STRING,
+        number=4,
+    )
+
+
+class ListDataScanJobsResponse(proto.Message):
+    r"""List DataScanJobs response.
+
+    Attributes:
+        data_scan_jobs (MutableSequence[google.cloud.dataplex_v1.types.DataScanJob]):
+            DataScanJobs (``BASIC`` view only) under a given dataScan.
+        next_page_token (str):
+            Token to retrieve the next page of results,
+            or empty if there are no more results in the
+            list.
+    """
+
+    @property
+    def raw_page(self):
+        return self
+
+    data_scan_jobs: MutableSequence['DataScanJob'] = proto.RepeatedField(
+        proto.MESSAGE,
+        number=1,
+        message='DataScanJob',
+    )
+    next_page_token: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+
+
+class GenerateDataQualityRulesRequest(proto.Message):
+    r"""Request details for generating data quality rule
+    recommendations.
+
+    Attributes:
+        name (str):
+            Required. The name must be one of the following:
+
+            -  The name of a data scan with at least one successful,
+               completed data profiling job
+            -  The name of a successful, completed data profiling job (a
+               data scan job where the job type is data profiling)
+    """
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+
+
+class GenerateDataQualityRulesResponse(proto.Message):
+    r"""Response details for data quality rule recommendations.
+
+    Attributes:
+        rule (MutableSequence[google.cloud.dataplex_v1.types.DataQualityRule]):
+            The data quality rules that Dataplex
+            generates based on the results of a data
+            profiling scan.
+    """
+
+    rule: MutableSequence[data_quality.DataQualityRule] = proto.RepeatedField(
+        proto.MESSAGE,
+        number=1,
+        message=data_quality.DataQualityRule,
+    )
+
+
+class DataScan(proto.Message):
+    r"""Represents a user-visible job which provides the insights for the
+    related data source.
+
+    For example:
+
+    -  Data Quality: generates queries based on the rules and runs
+       against the data to get data quality check results.
+    -  Data Profile: analyzes the data in table(s) and generates
+       insights about the structure, content and relationships (such as
+       null percent, cardinality, min/max/mean, etc).
+
+    This message has `oneof`_ fields (mutually exclusive fields).
+    For each oneof, at most one member field can be set at the same time.
+    Setting any member of the oneof automatically clears all other
+    members.
+
+    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
+
+    Attributes:
+        name (str):
+            Output only. The relative resource name of the scan, of the
+            form:
+            ``projects/{project}/locations/{location_id}/dataScans/{datascan_id}``,
+            where ``project`` refers to a *project_id* or
+            *project_number* and ``location_id`` refers to a GCP region.
+        uid (str):
+            Output only. System generated globally unique
+            ID for the scan. This ID will be different if
+            the scan is deleted and re-created with the same
+            name.
+        description (str):
+            Optional. Description of the scan.
+
+            -  Must be between 1-1024 characters.
+        display_name (str):
+            Optional. User friendly display name.
+
+            -  Must be between 1-256 characters.
+        labels (MutableMapping[str, str]):
+            Optional. User-defined labels for the scan.
+        state (google.cloud.dataplex_v1.types.State):
+            Output only. Current state of the DataScan.
+        create_time (google.protobuf.timestamp_pb2.Timestamp):
+            Output only. The time when the scan was
+            created.
+        update_time (google.protobuf.timestamp_pb2.Timestamp):
+            Output only. The time when the scan was last
+            updated.
+        data (google.cloud.dataplex_v1.types.DataSource):
+            Required. The data source for DataScan.
+        execution_spec (google.cloud.dataplex_v1.types.DataScan.ExecutionSpec):
+            Optional. DataScan execution settings.
+
+            If not specified, the fields in it will use
+            their default values.
+        execution_status (google.cloud.dataplex_v1.types.DataScan.ExecutionStatus):
+            Output only. Status of the data scan
+            execution.
+        type_ (google.cloud.dataplex_v1.types.DataScanType):
+            Output only. The type of DataScan.
+        data_quality_spec (google.cloud.dataplex_v1.types.DataQualitySpec):
+            Settings for a data quality scan.
+
+            This field is a member of `oneof`_ ``spec``.
+        data_profile_spec (google.cloud.dataplex_v1.types.DataProfileSpec):
+            Settings for a data profile scan.
+
+            This field is a member of `oneof`_ ``spec``.
+        data_discovery_spec (google.cloud.dataplex_v1.types.DataDiscoverySpec):
+            Settings for a data discovery scan.
+
+            This field is a member of `oneof`_ ``spec``.
+        data_quality_result (google.cloud.dataplex_v1.types.DataQualityResult):
+            Output only. The result of a data quality
+            scan.
+
+            This field is a member of `oneof`_ ``result``.
+        data_profile_result (google.cloud.dataplex_v1.types.DataProfileResult):
+            Output only. The result of a data profile
+            scan.
+
+            This field is a member of `oneof`_ ``result``.
+        data_discovery_result (google.cloud.dataplex_v1.types.DataDiscoveryResult):
+            Output only. The result of a data discovery
+            scan.
+
+            This field is a member of `oneof`_ ``result``.
+    """
+
+    class ExecutionSpec(proto.Message):
+        r"""DataScan execution settings.
+
+        .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
+
+        Attributes:
+            trigger (google.cloud.dataplex_v1.types.Trigger):
+                Optional. Spec related to how often and when a scan should
+                be triggered.
+
+                If not specified, the default is ``OnDemand``, which means
+                the scan will not run until the user calls ``RunDataScan``
+                API.
+            field (str):
+                Immutable. The unnested field (of type *Date* or
+                *Timestamp*) that contains values which monotonically
+                increase over time.
+
+                If not specified, a data scan will run for all data in the
+                table.
+
+                This field is a member of `oneof`_ ``incremental``.
+        """
+
+        trigger: processing.Trigger = proto.Field(
+            proto.MESSAGE,
+            number=1,
+            message=processing.Trigger,
+        )
+        field: str = proto.Field(
+            proto.STRING,
+            number=100,
+            oneof='incremental',
+        )
+
+    class ExecutionStatus(proto.Message):
+        r"""Status of the data scan execution.
+
+        Attributes:
+            latest_job_start_time (google.protobuf.timestamp_pb2.Timestamp):
+                The time when the latest DataScanJob started.
+            latest_job_end_time (google.protobuf.timestamp_pb2.Timestamp):
+                The time when the latest DataScanJob ended.
+            latest_job_create_time (google.protobuf.timestamp_pb2.Timestamp):
+                Optional. The time when the DataScanJob
+                execution was created.
+        """
+
+        latest_job_start_time: timestamp_pb2.Timestamp = proto.Field(
+            proto.MESSAGE,
+            number=4,
+            message=timestamp_pb2.Timestamp,
+        )
+        latest_job_end_time: timestamp_pb2.Timestamp = proto.Field(
+            proto.MESSAGE,
+            number=5,
+            message=timestamp_pb2.Timestamp,
+        )
+        latest_job_create_time: timestamp_pb2.Timestamp = proto.Field(
+            proto.MESSAGE,
+            number=6,
+            message=timestamp_pb2.Timestamp,
+        )
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    uid: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+    description: str = proto.Field(
+        proto.STRING,
+        number=3,
+    )
+    display_name: str = proto.Field(
+        proto.STRING,
+        number=4,
+    )
+    labels: MutableMapping[str, str] = proto.MapField(
+        proto.STRING,
+        proto.STRING,
+        number=5,
+    )
+    state: resources.State = proto.Field(
+        proto.ENUM,
+        number=6,
+        enum=resources.State,
+    )
+    create_time: timestamp_pb2.Timestamp = proto.Field(
+        proto.MESSAGE,
+        number=7,
+        message=timestamp_pb2.Timestamp,
+    )
+    update_time: timestamp_pb2.Timestamp = proto.Field(
+        proto.MESSAGE,
+        number=8,
+        message=timestamp_pb2.Timestamp,
+    )
+    data: processing.DataSource = proto.Field(
+        proto.MESSAGE,
+        number=9,
+        message=processing.DataSource,
+    )
+    execution_spec: ExecutionSpec = proto.Field(
+        proto.MESSAGE,
+        number=10,
+        message=ExecutionSpec,
+    )
+    execution_status: ExecutionStatus = proto.Field(
+        proto.MESSAGE,
+        number=11,
+        message=ExecutionStatus,
+    )
+    type_: 'DataScanType' = proto.Field(
+        proto.ENUM,
+        number=12,
+        enum='DataScanType',
+    )
+    data_quality_spec: data_quality.DataQualitySpec = proto.Field(
+        proto.MESSAGE,
+        number=100,
+        oneof='spec',
+        message=data_quality.DataQualitySpec,
+    )
+    data_profile_spec: data_profile.DataProfileSpec = proto.Field(
+        proto.MESSAGE,
+        number=101,
+        oneof='spec',
+        message=data_profile.DataProfileSpec,
+    )
+    data_discovery_spec: data_discovery.DataDiscoverySpec = proto.Field(
+        proto.MESSAGE,
+        number=102,
+        oneof='spec',
+        message=data_discovery.DataDiscoverySpec,
+    )
+    data_quality_result: data_quality.DataQualityResult = proto.Field(
+        proto.MESSAGE,
+        number=200,
+        oneof='result',
+        message=data_quality.DataQualityResult,
+    )
+    data_profile_result: data_profile.DataProfileResult = proto.Field(
+        proto.MESSAGE,
+        number=201,
+        oneof='result',
+        message=data_profile.DataProfileResult,
+    )
+    data_discovery_result: data_discovery.DataDiscoveryResult = proto.Field(
+        proto.MESSAGE,
+        number=202,
+        oneof='result',
+        message=data_discovery.DataDiscoveryResult,
+    )
+
+
+class DataScanJob(proto.Message):
+    r"""A DataScanJob represents an instance of DataScan execution.
+
+    This message has `oneof`_ fields (mutually exclusive fields).
+    For each oneof, at most one member field can be set at the same time.
+    Setting any member of the oneof automatically clears all other
+    members.
+
+    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
+
+    Attributes:
+        name (str):
+            Output only. The relative resource name of the DataScanJob,
+            of the form:
+            ``projects/{project}/locations/{location_id}/dataScans/{datascan_id}/jobs/{job_id}``,
+            where ``project`` refers to a *project_id* or
+            *project_number* and ``location_id`` refers to a GCP region.
+        uid (str):
+            Output only. System generated globally unique
+            ID for the DataScanJob.
+        create_time (google.protobuf.timestamp_pb2.Timestamp):
+            Output only. The time when the DataScanJob
+            was created.
+        start_time (google.protobuf.timestamp_pb2.Timestamp):
+            Output only. The time when the DataScanJob
+            was started.
+        end_time (google.protobuf.timestamp_pb2.Timestamp):
+            Output only. The time when the DataScanJob
+            ended.
+        state (google.cloud.dataplex_v1.types.DataScanJob.State):
+            Output only. Execution state for the
+            DataScanJob.
+        message (str):
+            Output only. Additional information about the
+            current state.
+        type_ (google.cloud.dataplex_v1.types.DataScanType):
+            Output only. The type of the parent DataScan.
+        data_quality_spec (google.cloud.dataplex_v1.types.DataQualitySpec):
+            Output only. Settings for a data quality
+            scan.
+
+            This field is a member of `oneof`_ ``spec``.
+        data_profile_spec (google.cloud.dataplex_v1.types.DataProfileSpec):
+            Output only. Settings for a data profile
+            scan.
+
+            This field is a member of `oneof`_ ``spec``.
+        data_discovery_spec (google.cloud.dataplex_v1.types.DataDiscoverySpec):
+            Output only. Settings for a data discovery
+            scan.
+
+            This field is a member of `oneof`_ ``spec``.
+        data_quality_result (google.cloud.dataplex_v1.types.DataQualityResult):
+            Output only. The result of a data quality
+            scan.
+
+            This field is a member of `oneof`_ ``result``.
+        data_profile_result (google.cloud.dataplex_v1.types.DataProfileResult):
+            Output only. The result of a data profile
+            scan.
+
+            This field is a member of `oneof`_ ``result``.
+        data_discovery_result (google.cloud.dataplex_v1.types.DataDiscoveryResult):
+            Output only. The result of a data discovery
+            scan.
+
+            This field is a member of `oneof`_ ``result``.
+    """
+    class State(proto.Enum):
+        r"""Execution state for the DataScanJob.
+
+        Values:
+            STATE_UNSPECIFIED (0):
+                The DataScanJob state is unspecified.
+            RUNNING (1):
+                The DataScanJob is running.
+            CANCELING (2):
+                The DataScanJob is canceling.
+            CANCELLED (3):
+                The DataScanJob cancellation was successful.
+            SUCCEEDED (4):
+                The DataScanJob completed successfully.
+            FAILED (5):
+                The DataScanJob is no longer running due to
+                an error.
+            PENDING (7):
+                The DataScanJob has been created but not
+                started to run yet.
+        """
+        STATE_UNSPECIFIED = 0
+        RUNNING = 1
+        CANCELING = 2
+        CANCELLED = 3
+        SUCCEEDED = 4
+        FAILED = 5
+        PENDING = 7
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    uid: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+    create_time: timestamp_pb2.Timestamp = proto.Field(
+        proto.MESSAGE,
+        number=8,
+        message=timestamp_pb2.Timestamp,
+    )
+    start_time: timestamp_pb2.Timestamp = proto.Field(
+        proto.MESSAGE,
+        number=3,
+        message=timestamp_pb2.Timestamp,
+    )
+    end_time: timestamp_pb2.Timestamp = proto.Field(
+        proto.MESSAGE,
+        number=4,
+        message=timestamp_pb2.Timestamp,
+    )
+    state: State = proto.Field(
+        proto.ENUM,
+        number=5,
+        enum=State,
+    )
+    message: str = proto.Field(
+        proto.STRING,
+        number=6,
+    )
+    type_: 'DataScanType' = proto.Field(
+        proto.ENUM,
+        number=7,
+        enum='DataScanType',
+    )
+    data_quality_spec: data_quality.DataQualitySpec = proto.Field(
+        proto.MESSAGE,
+        number=100,
+        oneof='spec',
+        message=data_quality.DataQualitySpec,
+    )
+    data_profile_spec: data_profile.DataProfileSpec = proto.Field(
+        proto.MESSAGE,
+        number=101,
+        oneof='spec',
+        message=data_profile.DataProfileSpec,
+    )
+    data_discovery_spec: data_discovery.DataDiscoverySpec = proto.Field(
+        proto.MESSAGE,
+        number=102,
+        oneof='spec',
+        message=data_discovery.DataDiscoverySpec,
+    )
+    data_quality_result: data_quality.DataQualityResult = proto.Field(
+        proto.MESSAGE,
+        number=200,
+        oneof='result',
+        message=data_quality.DataQualityResult,
+    )
+    data_profile_result: data_profile.DataProfileResult = proto.Field(
+        proto.MESSAGE,
+        number=201,
+        oneof='result',
+        message=data_profile.DataProfileResult,
+    )
+    data_discovery_result: data_discovery.DataDiscoveryResult = proto.Field(
+        proto.MESSAGE,
+        number=202,
+        oneof='result',
+        message=data_discovery.DataDiscoveryResult,
+    )
+
+
+__all__ = tuple(sorted(__protobuf__.manifest))
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/logs.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/logs.py
new file mode 100644
index 000000000000..6e4c2bbb0ddb
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/logs.py
@@ -0,0 +1,1352 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from __future__ import annotations
+
+from typing import MutableMapping, MutableSequence
+
+import proto  # type: ignore
+
+from google.protobuf import duration_pb2  # type: ignore
+from google.protobuf import timestamp_pb2  # type: ignore
+
+
+__protobuf__ = proto.module(
+    package='google.cloud.dataplex.v1',
+    manifest={
+        'DiscoveryEvent',
+        'JobEvent',
+        'SessionEvent',
+        'GovernanceEvent',
+        'DataScanEvent',
+        'DataQualityScanRuleResult',
+    },
+)
+
+
+class DiscoveryEvent(proto.Message):
+    r"""The payload associated with Discovery data processing.
+
+    This message has `oneof`_ fields (mutually exclusive fields).
+    For each oneof, at most one member field can be set at the same time.
+    Setting any member of the oneof automatically clears all other
+    members.
+
+    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
+
+    Attributes:
+        message (str):
+            The log message.
+        lake_id (str):
+            The id of the associated lake.
+        zone_id (str):
+            The id of the associated zone.
+        asset_id (str):
+            The id of the associated asset.
+        data_location (str):
+            The data location associated with the event.
+        datascan_id (str):
+            The id of the associated datascan for
+            standalone discovery.
+        type_ (google.cloud.dataplex_v1.types.DiscoveryEvent.EventType):
+            The type of the event being logged.
+        config (google.cloud.dataplex_v1.types.DiscoveryEvent.ConfigDetails):
+            Details about discovery configuration in
+            effect.
+
+            This field is a member of `oneof`_ ``details``.
+        entity (google.cloud.dataplex_v1.types.DiscoveryEvent.EntityDetails):
+            Details about the entity associated with the
+            event.
+
+            This field is a member of `oneof`_ ``details``.
+        partition (google.cloud.dataplex_v1.types.DiscoveryEvent.PartitionDetails):
+            Details about the partition associated with
+            the event.
+
+            This field is a member of `oneof`_ ``details``.
+        action (google.cloud.dataplex_v1.types.DiscoveryEvent.ActionDetails):
+            Details about the action associated with the
+            event.
+
+            This field is a member of `oneof`_ ``details``.
+        table (google.cloud.dataplex_v1.types.DiscoveryEvent.TableDetails):
+            Details about the BigQuery table publishing
+            associated with the event.
+
+            This field is a member of `oneof`_ ``details``.
+    """
+    class EventType(proto.Enum):
+        r"""The type of the event.
+
+        Values:
+            EVENT_TYPE_UNSPECIFIED (0):
+                An unspecified event type.
+            CONFIG (1):
+                An event representing discovery configuration
+                in effect.
+            ENTITY_CREATED (2):
+                An event representing a metadata entity being
+                created.
+            ENTITY_UPDATED (3):
+                An event representing a metadata entity being
+                updated.
+            ENTITY_DELETED (4):
+                An event representing a metadata entity being
+                deleted.
+            PARTITION_CREATED (5):
+                An event representing a partition being
+                created.
+            PARTITION_UPDATED (6):
+                An event representing a partition being
+                updated.
+            PARTITION_DELETED (7):
+                An event representing a partition being
+                deleted.
+            TABLE_PUBLISHED (10):
+                An event representing a table being
+                published.
+            TABLE_UPDATED (11):
+                An event representing a table being updated.
+            TABLE_IGNORED (12):
+                An event representing a table being skipped
+                in publishing.
+            TABLE_DELETED (13):
+                An event representing a table being deleted.
+        """
+        EVENT_TYPE_UNSPECIFIED = 0
+        CONFIG = 1
+        ENTITY_CREATED = 2
+        ENTITY_UPDATED = 3
+        ENTITY_DELETED = 4
+        PARTITION_CREATED = 5
+        PARTITION_UPDATED = 6
+        PARTITION_DELETED = 7
+        TABLE_PUBLISHED = 10
+        TABLE_UPDATED = 11
+        TABLE_IGNORED = 12
+        TABLE_DELETED = 13
+
+    class EntityType(proto.Enum):
+        r"""The type of the entity.
+
+        Values:
+            ENTITY_TYPE_UNSPECIFIED (0):
+                An unspecified event type.
+            TABLE (1):
+                Entities representing structured data.
+            FILESET (2):
+                Entities representing unstructured data.
+        """
+        ENTITY_TYPE_UNSPECIFIED = 0
+        TABLE = 1
+        FILESET = 2
+
+    class TableType(proto.Enum):
+        r"""The type of the published table.
+
+        Values:
+            TABLE_TYPE_UNSPECIFIED (0):
+                An unspecified table type.
+            EXTERNAL_TABLE (1):
+                External table type.
+            BIGLAKE_TABLE (2):
+                BigLake table type.
+            OBJECT_TABLE (3):
+                Object table type for unstructured data.
+        """
+        TABLE_TYPE_UNSPECIFIED = 0
+        EXTERNAL_TABLE = 1
+        BIGLAKE_TABLE = 2
+        OBJECT_TABLE = 3
+
+    class ConfigDetails(proto.Message):
+        r"""Details about configuration events.
+
+        Attributes:
+            parameters (MutableMapping[str, str]):
+                A list of discovery configuration parameters
+                in effect. The keys are the field paths within
+                DiscoverySpec. Eg. includePatterns,
+                excludePatterns,
+                csvOptions.disableTypeInference, etc.
+        """
+
+        parameters: MutableMapping[str, str] = proto.MapField(
+            proto.STRING,
+            proto.STRING,
+            number=1,
+        )
+
+    class EntityDetails(proto.Message):
+        r"""Details about the entity.
+
+        Attributes:
+            entity (str):
+                The name of the entity resource.
+                The name is the fully-qualified resource name.
+            type_ (google.cloud.dataplex_v1.types.DiscoveryEvent.EntityType):
+                The type of the entity resource.
+        """
+
+        entity: str = proto.Field(
+            proto.STRING,
+            number=1,
+        )
+        type_: 'DiscoveryEvent.EntityType' = proto.Field(
+            proto.ENUM,
+            number=2,
+            enum='DiscoveryEvent.EntityType',
+        )
+
+    class TableDetails(proto.Message):
+        r"""Details about the published table.
+
+        Attributes:
+            table (str):
+                The fully-qualified resource name of the
+                table resource.
+            type_ (google.cloud.dataplex_v1.types.DiscoveryEvent.TableType):
+                The type of the table resource.
+        """
+
+        table: str = proto.Field(
+            proto.STRING,
+            number=1,
+        )
+        type_: 'DiscoveryEvent.TableType' = proto.Field(
+            proto.ENUM,
+            number=2,
+            enum='DiscoveryEvent.TableType',
+        )
+
+    class PartitionDetails(proto.Message):
+        r"""Details about the partition.
+
+        Attributes:
+            partition (str):
+                The name to the partition resource.
+                The name is the fully-qualified resource name.
+            entity (str):
+                The name to the containing entity resource.
+                The name is the fully-qualified resource name.
+            type_ (google.cloud.dataplex_v1.types.DiscoveryEvent.EntityType):
+                The type of the containing entity resource.
+            sampled_data_locations (MutableSequence[str]):
+                The locations of the data items (e.g., a
+                Cloud Storage objects) sampled for metadata
+                inference.
+        """
+
+        partition: str = proto.Field(
+            proto.STRING,
+            number=1,
+        )
+        entity: str = proto.Field(
+            proto.STRING,
+            number=2,
+        )
+        type_: 'DiscoveryEvent.EntityType' = proto.Field(
+            proto.ENUM,
+            number=3,
+            enum='DiscoveryEvent.EntityType',
+        )
+        sampled_data_locations: MutableSequence[str] = proto.RepeatedField(
+            proto.STRING,
+            number=4,
+        )
+
+    class ActionDetails(proto.Message):
+        r"""Details about the action.
+
+        Attributes:
+            type_ (str):
+                The type of action.
+                Eg. IncompatibleDataSchema, InvalidDataFormat
+            issue (str):
+                The human readable issue associated with the
+                action.
+        """
+
+        type_: str = proto.Field(
+            proto.STRING,
+            number=1,
+        )
+        issue: str = proto.Field(
+            proto.STRING,
+            number=2,
+        )
+
+    message: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    lake_id: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+    zone_id: str = proto.Field(
+        proto.STRING,
+        number=3,
+    )
+    asset_id: str = proto.Field(
+        proto.STRING,
+        number=4,
+    )
+    data_location: str = proto.Field(
+        proto.STRING,
+        number=5,
+    )
+    datascan_id: str = proto.Field(
+        proto.STRING,
+        number=6,
+    )
+    type_: EventType = proto.Field(
+        proto.ENUM,
+        number=10,
+        enum=EventType,
+    )
+    config: ConfigDetails = proto.Field(
+        proto.MESSAGE,
+        number=20,
+        oneof='details',
+        message=ConfigDetails,
+    )
+    entity: EntityDetails = proto.Field(
+        proto.MESSAGE,
+        number=21,
+        oneof='details',
+        message=EntityDetails,
+    )
+    partition: PartitionDetails = proto.Field(
+        proto.MESSAGE,
+        number=22,
+        oneof='details',
+        message=PartitionDetails,
+    )
+    action: ActionDetails = proto.Field(
+        proto.MESSAGE,
+        number=23,
+        oneof='details',
+        message=ActionDetails,
+    )
+    table: TableDetails = proto.Field(
+        proto.MESSAGE,
+        number=24,
+        oneof='details',
+        message=TableDetails,
+    )
+
+
+class JobEvent(proto.Message):
+    r"""The payload associated with Job logs that contains events
+    describing jobs that have run within a Lake.
+
+    Attributes:
+        message (str):
+            The log message.
+        job_id (str):
+            The unique id identifying the job.
+        start_time (google.protobuf.timestamp_pb2.Timestamp):
+            The time when the job started running.
+        end_time (google.protobuf.timestamp_pb2.Timestamp):
+            The time when the job ended running.
+        state (google.cloud.dataplex_v1.types.JobEvent.State):
+            The job state on completion.
+        retries (int):
+            The number of retries.
+        type_ (google.cloud.dataplex_v1.types.JobEvent.Type):
+            The type of the job.
+        service (google.cloud.dataplex_v1.types.JobEvent.Service):
+            The service used to execute the job.
+        service_job (str):
+            The reference to the job within the service.
+        execution_trigger (google.cloud.dataplex_v1.types.JobEvent.ExecutionTrigger):
+            Job execution trigger.
+    """
+    class Type(proto.Enum):
+        r"""The type of the job.
+
+        Values:
+            TYPE_UNSPECIFIED (0):
+                Unspecified job type.
+            SPARK (1):
+                Spark jobs.
+            NOTEBOOK (2):
+                Notebook jobs.
+        """
+        TYPE_UNSPECIFIED = 0
+        SPARK = 1
+        NOTEBOOK = 2
+
+    class State(proto.Enum):
+        r"""The completion status of the job.
+
+        Values:
+            STATE_UNSPECIFIED (0):
+                Unspecified job state.
+            SUCCEEDED (1):
+                Job successfully completed.
+            FAILED (2):
+                Job was unsuccessful.
+            CANCELLED (3):
+                Job was cancelled by the user.
+            ABORTED (4):
+                Job was cancelled or aborted via the service
+                executing the job.
+        """
+        STATE_UNSPECIFIED = 0
+        SUCCEEDED = 1
+        FAILED = 2
+        CANCELLED = 3
+        ABORTED = 4
+
+    class Service(proto.Enum):
+        r"""The service used to execute the job.
+
+        Values:
+            SERVICE_UNSPECIFIED (0):
+                Unspecified service.
+            DATAPROC (1):
+                Cloud Dataproc.
+        """
+        SERVICE_UNSPECIFIED = 0
+        DATAPROC = 1
+
+    class ExecutionTrigger(proto.Enum):
+        r"""Job Execution trigger.
+
+        Values:
+            EXECUTION_TRIGGER_UNSPECIFIED (0):
+                The job execution trigger is unspecified.
+            TASK_CONFIG (1):
+                The job was triggered by Dataplex based on
+                trigger spec from task definition.
+            RUN_REQUEST (2):
+                The job was triggered by the explicit call of
+                Task API.
+        """
+        EXECUTION_TRIGGER_UNSPECIFIED = 0
+        TASK_CONFIG = 1
+        RUN_REQUEST = 2
+
+    message: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    job_id: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+    start_time: timestamp_pb2.Timestamp = proto.Field(
+        proto.MESSAGE,
+        number=3,
+        message=timestamp_pb2.Timestamp,
+    )
+    end_time: timestamp_pb2.Timestamp = proto.Field(
+        proto.MESSAGE,
+        number=4,
+        message=timestamp_pb2.Timestamp,
+    )
+    state: State = proto.Field(
+        proto.ENUM,
+        number=5,
+        enum=State,
+    )
+    retries: int = proto.Field(
+        proto.INT32,
+        number=6,
+    )
+    type_: Type = proto.Field(
+        proto.ENUM,
+        number=7,
+        enum=Type,
+    )
+    service: Service = proto.Field(
+        proto.ENUM,
+        number=8,
+        enum=Service,
+    )
+    service_job: str = proto.Field(
+        proto.STRING,
+        number=9,
+    )
+    execution_trigger: ExecutionTrigger = proto.Field(
+        proto.ENUM,
+        number=11,
+        enum=ExecutionTrigger,
+    )
+
+
+class SessionEvent(proto.Message):
+    r"""These messages contain information about sessions within an
+    environment. The monitored resource is 'Environment'.
+
+
+    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
+
+    Attributes:
+        message (str):
+            The log message.
+        user_id (str):
+            The information about the user that created
+            the session. It will be the email address of the
+            user.
+        session_id (str):
+            Unique identifier for the session.
+        type_ (google.cloud.dataplex_v1.types.SessionEvent.EventType):
+            The type of the event.
+        query (google.cloud.dataplex_v1.types.SessionEvent.QueryDetail):
+            The execution details of the query.
+
+            This field is a member of `oneof`_ ``detail``.
+        event_succeeded (bool):
+            The status of the event.
+        fast_startup_enabled (bool):
+            If the session is associated with an
+            environment with fast startup enabled, and was
+            created before being assigned to a user.
+        unassigned_duration (google.protobuf.duration_pb2.Duration):
+            The idle duration of a warm pooled session
+            before it is assigned to user.
+    """
+    class EventType(proto.Enum):
+        r"""The type of the event.
+
+        Values:
+            EVENT_TYPE_UNSPECIFIED (0):
+                An unspecified event type.
+            START (1):
+                Event when the session is assigned to a user.
+            STOP (2):
+                Event for stop of a session.
+            QUERY (3):
+                Query events in the session.
+            CREATE (4):
+                Event for creation of a cluster. It is not
+                yet assigned to a user. This comes before START
+                in the sequence
+        """
+        EVENT_TYPE_UNSPECIFIED = 0
+        START = 1
+        STOP = 2
+        QUERY = 3
+        CREATE = 4
+
+    class QueryDetail(proto.Message):
+        r"""Execution details of the query.
+
+        Attributes:
+            query_id (str):
+                The unique Query id identifying the query.
+            query_text (str):
+                The query text executed.
+            engine (google.cloud.dataplex_v1.types.SessionEvent.QueryDetail.Engine):
+                Query Execution engine.
+            duration (google.protobuf.duration_pb2.Duration):
+                Time taken for execution of the query.
+            result_size_bytes (int):
+                The size of results the query produced.
+            data_processed_bytes (int):
+                The data processed by the query.
+        """
+        class Engine(proto.Enum):
+            r"""Query Execution engine.
+
+            Values:
+                ENGINE_UNSPECIFIED (0):
+                    An unspecified Engine type.
+                SPARK_SQL (1):
+                    Spark-sql engine is specified in Query.
+                BIGQUERY (2):
+                    BigQuery engine is specified in Query.
+            """
+            ENGINE_UNSPECIFIED = 0
+            SPARK_SQL = 1
+            BIGQUERY = 2
+
+        query_id: str = proto.Field(
+            proto.STRING,
+            number=1,
+        )
+        query_text: str = proto.Field(
+            proto.STRING,
+            number=2,
+        )
+        engine: 'SessionEvent.QueryDetail.Engine' = proto.Field(
+            proto.ENUM,
+            number=3,
+            enum='SessionEvent.QueryDetail.Engine',
+        )
+        duration: duration_pb2.Duration = proto.Field(
+            proto.MESSAGE,
+            number=4,
+            message=duration_pb2.Duration,
+        )
+        result_size_bytes: int = proto.Field(
+            proto.INT64,
+            number=5,
+        )
+        data_processed_bytes: int = proto.Field(
+            proto.INT64,
+            number=6,
+        )
+
+    message: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    user_id: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+    session_id: str = proto.Field(
+        proto.STRING,
+        number=3,
+    )
+    type_: EventType = proto.Field(
+        proto.ENUM,
+        number=4,
+        enum=EventType,
+    )
+    query: QueryDetail = proto.Field(
+        proto.MESSAGE,
+        number=5,
+        oneof='detail',
+        message=QueryDetail,
+    )
+    event_succeeded: bool = proto.Field(
+        proto.BOOL,
+        number=6,
+    )
+    fast_startup_enabled: bool = proto.Field(
+        proto.BOOL,
+        number=7,
+    )
+    unassigned_duration: duration_pb2.Duration = proto.Field(
+        proto.MESSAGE,
+        number=8,
+        message=duration_pb2.Duration,
+    )
+
+
+class GovernanceEvent(proto.Message):
+    r"""Payload associated with Governance related log events.
+
+    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
+
+    Attributes:
+        message (str):
+            The log message.
+        event_type (google.cloud.dataplex_v1.types.GovernanceEvent.EventType):
+            The type of the event.
+        entity (google.cloud.dataplex_v1.types.GovernanceEvent.Entity):
+            Entity resource information if the log event
+            is associated with a specific entity.
+
+            This field is a member of `oneof`_ ``_entity``.
+    """
+    class EventType(proto.Enum):
+        r"""Type of governance log event.
+
+        Values:
+            EVENT_TYPE_UNSPECIFIED (0):
+                An unspecified event type.
+            RESOURCE_IAM_POLICY_UPDATE (1):
+                Resource IAM policy update event.
+            BIGQUERY_TABLE_CREATE (2):
+                BigQuery table create event.
+            BIGQUERY_TABLE_UPDATE (3):
+                BigQuery table update event.
+            BIGQUERY_TABLE_DELETE (4):
+                BigQuery table delete event.
+            BIGQUERY_CONNECTION_CREATE (5):
+                BigQuery connection create event.
+            BIGQUERY_CONNECTION_UPDATE (6):
+                BigQuery connection update event.
+            BIGQUERY_CONNECTION_DELETE (7):
+                BigQuery connection delete event.
+            BIGQUERY_TAXONOMY_CREATE (10):
+                BigQuery taxonomy created.
+            BIGQUERY_POLICY_TAG_CREATE (11):
+                BigQuery policy tag created.
+            BIGQUERY_POLICY_TAG_DELETE (12):
+                BigQuery policy tag deleted.
+            BIGQUERY_POLICY_TAG_SET_IAM_POLICY (13):
+                BigQuery set iam policy for policy tag.
+            ACCESS_POLICY_UPDATE (14):
+                Access policy update event.
+            GOVERNANCE_RULE_MATCHED_RESOURCES (15):
+                Number of resources matched with particular
+                Query.
+            GOVERNANCE_RULE_SEARCH_LIMIT_EXCEEDS (16):
+                Rule processing exceeds the allowed limit.
+            GOVERNANCE_RULE_ERRORS (17):
+                Rule processing errors.
+            GOVERNANCE_RULE_PROCESSING (18):
+                Governance rule processing Event.
+        """
+        EVENT_TYPE_UNSPECIFIED = 0
+        RESOURCE_IAM_POLICY_UPDATE = 1
+        BIGQUERY_TABLE_CREATE = 2
+        BIGQUERY_TABLE_UPDATE = 3
+        BIGQUERY_TABLE_DELETE = 4
+        BIGQUERY_CONNECTION_CREATE = 5
+        BIGQUERY_CONNECTION_UPDATE = 6
+        BIGQUERY_CONNECTION_DELETE = 7
+        BIGQUERY_TAXONOMY_CREATE = 10
+        BIGQUERY_POLICY_TAG_CREATE = 11
+        BIGQUERY_POLICY_TAG_DELETE = 12
+        BIGQUERY_POLICY_TAG_SET_IAM_POLICY = 13
+        ACCESS_POLICY_UPDATE = 14
+        GOVERNANCE_RULE_MATCHED_RESOURCES = 15
+        GOVERNANCE_RULE_SEARCH_LIMIT_EXCEEDS = 16
+        GOVERNANCE_RULE_ERRORS = 17
+        GOVERNANCE_RULE_PROCESSING = 18
+
+    class Entity(proto.Message):
+        r"""Information about Entity resource that the log event is
+        associated with.
+
+        Attributes:
+            entity (str):
+                The Entity resource the log event is associated with.
+                Format:
+                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/entities/{entity_id}``
+            entity_type (google.cloud.dataplex_v1.types.GovernanceEvent.Entity.EntityType):
+                Type of entity.
+        """
+        class EntityType(proto.Enum):
+            r"""Type of entity.
+
+            Values:
+                ENTITY_TYPE_UNSPECIFIED (0):
+                    An unspecified Entity type.
+                TABLE (1):
+                    Table entity type.
+                FILESET (2):
+                    Fileset entity type.
+            """
+            ENTITY_TYPE_UNSPECIFIED = 0
+            TABLE = 1
+            FILESET = 2
+
+        entity: str = proto.Field(
+            proto.STRING,
+            number=1,
+        )
+        entity_type: 'GovernanceEvent.Entity.EntityType' = proto.Field(
+            proto.ENUM,
+            number=2,
+            enum='GovernanceEvent.Entity.EntityType',
+        )
+
+    message: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    event_type: EventType = proto.Field(
+        proto.ENUM,
+        number=2,
+        enum=EventType,
+    )
+    entity: Entity = proto.Field(
+        proto.MESSAGE,
+        number=3,
+        optional=True,
+        message=Entity,
+    )
+
+
+class DataScanEvent(proto.Message):
+    r"""These messages contain information about the execution of a
+    datascan. The monitored resource is 'DataScan'
+
+    This message has `oneof`_ fields (mutually exclusive fields).
+    For each oneof, at most one member field can be set at the same time.
+    Setting any member of the oneof automatically clears all other
+    members.
+
+    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
+
+    Attributes:
+        data_source (str):
+            The data source of the data scan
+        job_id (str):
+            The identifier of the specific data scan job
+            this log entry is for.
+        create_time (google.protobuf.timestamp_pb2.Timestamp):
+            The time when the data scan job was created.
+        start_time (google.protobuf.timestamp_pb2.Timestamp):
+            The time when the data scan job started to
+            run.
+        end_time (google.protobuf.timestamp_pb2.Timestamp):
+            The time when the data scan job finished.
+        type_ (google.cloud.dataplex_v1.types.DataScanEvent.ScanType):
+            The type of the data scan.
+        state (google.cloud.dataplex_v1.types.DataScanEvent.State):
+            The status of the data scan job.
+        message (str):
+            The message describing the data scan job
+            event.
+        spec_version (str):
+            A version identifier of the spec which was
+            used to execute this job.
+        trigger (google.cloud.dataplex_v1.types.DataScanEvent.Trigger):
+            The trigger type of the data scan job.
+        scope (google.cloud.dataplex_v1.types.DataScanEvent.Scope):
+            The scope of the data scan (e.g. full,
+            incremental).
+        data_profile (google.cloud.dataplex_v1.types.DataScanEvent.DataProfileResult):
+            Data profile result for data profile type
+            data scan.
+
+            This field is a member of `oneof`_ ``result``.
+        data_quality (google.cloud.dataplex_v1.types.DataScanEvent.DataQualityResult):
+            Data quality result for data quality type
+            data scan.
+
+            This field is a member of `oneof`_ ``result``.
+        data_profile_configs (google.cloud.dataplex_v1.types.DataScanEvent.DataProfileAppliedConfigs):
+            Applied configs for data profile type data
+            scan.
+
+            This field is a member of `oneof`_ ``appliedConfigs``.
+        data_quality_configs (google.cloud.dataplex_v1.types.DataScanEvent.DataQualityAppliedConfigs):
+            Applied configs for data quality type data
+            scan.
+
+            This field is a member of `oneof`_ ``appliedConfigs``.
+        post_scan_actions_result (google.cloud.dataplex_v1.types.DataScanEvent.PostScanActionsResult):
+            The result of post scan actions.
+    """
+    class ScanType(proto.Enum):
+        r"""The type of the data scan.
+
+        Values:
+            SCAN_TYPE_UNSPECIFIED (0):
+                An unspecified data scan type.
+            DATA_PROFILE (1):
+                Data scan for data profile.
+            DATA_QUALITY (2):
+                Data scan for data quality.
+            DATA_DISCOVERY (4):
+                Data scan for data discovery.
+        """
+        SCAN_TYPE_UNSPECIFIED = 0
+        DATA_PROFILE = 1
+        DATA_QUALITY = 2
+        DATA_DISCOVERY = 4
+
+    class State(proto.Enum):
+        r"""The job state of the data scan.
+
+        Values:
+            STATE_UNSPECIFIED (0):
+                Unspecified job state.
+            STARTED (1):
+                Data scan job started.
+            SUCCEEDED (2):
+                Data scan job successfully completed.
+            FAILED (3):
+                Data scan job was unsuccessful.
+            CANCELLED (4):
+                Data scan job was cancelled.
+            CREATED (5):
+                Data scan job was createed.
+        """
+        STATE_UNSPECIFIED = 0
+        STARTED = 1
+        SUCCEEDED = 2
+        FAILED = 3
+        CANCELLED = 4
+        CREATED = 5
+
+    class Trigger(proto.Enum):
+        r"""The trigger type for the data scan.
+
+        Values:
+            TRIGGER_UNSPECIFIED (0):
+                An unspecified trigger type.
+            ON_DEMAND (1):
+                Data scan triggers on demand.
+            SCHEDULE (2):
+                Data scan triggers as per schedule.
+        """
+        TRIGGER_UNSPECIFIED = 0
+        ON_DEMAND = 1
+        SCHEDULE = 2
+
+    class Scope(proto.Enum):
+        r"""The scope of job for the data scan.
+
+        Values:
+            SCOPE_UNSPECIFIED (0):
+                An unspecified scope type.
+            FULL (1):
+                Data scan runs on all of the data.
+            INCREMENTAL (2):
+                Data scan runs on incremental data.
+        """
+        SCOPE_UNSPECIFIED = 0
+        FULL = 1
+        INCREMENTAL = 2
+
+    class DataProfileResult(proto.Message):
+        r"""Data profile result for data scan job.
+
+        Attributes:
+            row_count (int):
+                The count of rows processed in the data scan
+                job.
+        """
+
+        row_count: int = proto.Field(
+            proto.INT64,
+            number=1,
+        )
+
+    class DataQualityResult(proto.Message):
+        r"""Data quality result for data scan job.
+
+        Attributes:
+            row_count (int):
+                The count of rows processed in the data scan
+                job.
+            passed (bool):
+                Whether the data quality result was ``pass`` or not.
+            dimension_passed (MutableMapping[str, bool]):
+                The result of each dimension for data quality result. The
+                key of the map is the name of the dimension. The value is
+                the bool value depicting whether the dimension result was
+                ``pass`` or not.
+            score (float):
+                The table-level data quality score for the data scan job.
+
+                The data quality score ranges between [0, 100] (up to two
+                decimal points).
+            dimension_score (MutableMapping[str, float]):
+                The score of each dimension for data quality result. The key
+                of the map is the name of the dimension. The value is the
+                data quality score for the dimension.
+
+                The score ranges between [0, 100] (up to two decimal
+                points).
+            column_score (MutableMapping[str, float]):
+                The score of each column scanned in the data scan job. The
+                key of the map is the name of the column. The value is the
+                data quality score for the column.
+
+                The score ranges between [0, 100] (up to two decimal
+                points).
+        """
+
+        row_count: int = proto.Field(
+            proto.INT64,
+            number=1,
+        )
+        passed: bool = proto.Field(
+            proto.BOOL,
+            number=2,
+        )
+        dimension_passed: MutableMapping[str, bool] = proto.MapField(
+            proto.STRING,
+            proto.BOOL,
+            number=3,
+        )
+        score: float = proto.Field(
+            proto.FLOAT,
+            number=4,
+        )
+        dimension_score: MutableMapping[str, float] = proto.MapField(
+            proto.STRING,
+            proto.FLOAT,
+            number=5,
+        )
+        column_score: MutableMapping[str, float] = proto.MapField(
+            proto.STRING,
+            proto.FLOAT,
+            number=6,
+        )
+
+    class DataProfileAppliedConfigs(proto.Message):
+        r"""Applied configs for data profile type data scan job.
+
+        Attributes:
+            sampling_percent (float):
+                The percentage of the records selected from the dataset for
+                DataScan.
+
+                -  Value ranges between 0.0 and 100.0.
+                -  Value 0.0 or 100.0 imply that sampling was not applied.
+            row_filter_applied (bool):
+                Boolean indicating whether a row filter was
+                applied in the DataScan job.
+            column_filter_applied (bool):
+                Boolean indicating whether a column filter
+                was applied in the DataScan job.
+        """
+
+        sampling_percent: float = proto.Field(
+            proto.FLOAT,
+            number=1,
+        )
+        row_filter_applied: bool = proto.Field(
+            proto.BOOL,
+            number=2,
+        )
+        column_filter_applied: bool = proto.Field(
+            proto.BOOL,
+            number=3,
+        )
+
+    class DataQualityAppliedConfigs(proto.Message):
+        r"""Applied configs for data quality type data scan job.
+
+        Attributes:
+            sampling_percent (float):
+                The percentage of the records selected from the dataset for
+                DataScan.
+
+                -  Value ranges between 0.0 and 100.0.
+                -  Value 0.0 or 100.0 imply that sampling was not applied.
+            row_filter_applied (bool):
+                Boolean indicating whether a row filter was
+                applied in the DataScan job.
+        """
+
+        sampling_percent: float = proto.Field(
+            proto.FLOAT,
+            number=1,
+        )
+        row_filter_applied: bool = proto.Field(
+            proto.BOOL,
+            number=2,
+        )
+
+    class PostScanActionsResult(proto.Message):
+        r"""Post scan actions result for data scan job.
+
+        Attributes:
+            bigquery_export_result (google.cloud.dataplex_v1.types.DataScanEvent.PostScanActionsResult.BigQueryExportResult):
+                The result of BigQuery export post scan
+                action.
+        """
+
+        class BigQueryExportResult(proto.Message):
+            r"""The result of BigQuery export post scan action.
+
+            Attributes:
+                state (google.cloud.dataplex_v1.types.DataScanEvent.PostScanActionsResult.BigQueryExportResult.State):
+                    Execution state for the BigQuery exporting.
+                message (str):
+                    Additional information about the BigQuery
+                    exporting.
+            """
+            class State(proto.Enum):
+                r"""Execution state for the exporting.
+
+                Values:
+                    STATE_UNSPECIFIED (0):
+                        The exporting state is unspecified.
+                    SUCCEEDED (1):
+                        The exporting completed successfully.
+                    FAILED (2):
+                        The exporting is no longer running due to an
+                        error.
+                    SKIPPED (3):
+                        The exporting is skipped due to no valid scan
+                        result to export (usually caused by scan
+                        failed).
+                """
+                STATE_UNSPECIFIED = 0
+                SUCCEEDED = 1
+                FAILED = 2
+                SKIPPED = 3
+
+            state: 'DataScanEvent.PostScanActionsResult.BigQueryExportResult.State' = proto.Field(
+                proto.ENUM,
+                number=1,
+                enum='DataScanEvent.PostScanActionsResult.BigQueryExportResult.State',
+            )
+            message: str = proto.Field(
+                proto.STRING,
+                number=2,
+            )
+
+        bigquery_export_result: 'DataScanEvent.PostScanActionsResult.BigQueryExportResult' = proto.Field(
+            proto.MESSAGE,
+            number=1,
+            message='DataScanEvent.PostScanActionsResult.BigQueryExportResult',
+        )
+
+    data_source: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    job_id: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+    create_time: timestamp_pb2.Timestamp = proto.Field(
+        proto.MESSAGE,
+        number=12,
+        message=timestamp_pb2.Timestamp,
+    )
+    start_time: timestamp_pb2.Timestamp = proto.Field(
+        proto.MESSAGE,
+        number=3,
+        message=timestamp_pb2.Timestamp,
+    )
+    end_time: timestamp_pb2.Timestamp = proto.Field(
+        proto.MESSAGE,
+        number=4,
+        message=timestamp_pb2.Timestamp,
+    )
+    type_: ScanType = proto.Field(
+        proto.ENUM,
+        number=5,
+        enum=ScanType,
+    )
+    state: State = proto.Field(
+        proto.ENUM,
+        number=6,
+        enum=State,
+    )
+    message: str = proto.Field(
+        proto.STRING,
+        number=7,
+    )
+    spec_version: str = proto.Field(
+        proto.STRING,
+        number=8,
+    )
+    trigger: Trigger = proto.Field(
+        proto.ENUM,
+        number=9,
+        enum=Trigger,
+    )
+    scope: Scope = proto.Field(
+        proto.ENUM,
+        number=10,
+        enum=Scope,
+    )
+    data_profile: DataProfileResult = proto.Field(
+        proto.MESSAGE,
+        number=101,
+        oneof='result',
+        message=DataProfileResult,
+    )
+    data_quality: DataQualityResult = proto.Field(
+        proto.MESSAGE,
+        number=102,
+        oneof='result',
+        message=DataQualityResult,
+    )
+    data_profile_configs: DataProfileAppliedConfigs = proto.Field(
+        proto.MESSAGE,
+        number=201,
+        oneof='appliedConfigs',
+        message=DataProfileAppliedConfigs,
+    )
+    data_quality_configs: DataQualityAppliedConfigs = proto.Field(
+        proto.MESSAGE,
+        number=202,
+        oneof='appliedConfigs',
+        message=DataQualityAppliedConfigs,
+    )
+    post_scan_actions_result: PostScanActionsResult = proto.Field(
+        proto.MESSAGE,
+        number=11,
+        message=PostScanActionsResult,
+    )
+
+
+class DataQualityScanRuleResult(proto.Message):
+    r"""Information about the result of a data quality rule for data
+    quality scan. The monitored resource is 'DataScan'.
+
+    Attributes:
+        job_id (str):
+            Identifier of the specific data scan job this
+            log entry is for.
+        data_source (str):
+            The data source of the data scan (e.g.
+            BigQuery table name).
+        column (str):
+            The column which this rule is evaluated
+            against.
+        rule_name (str):
+            The name of the data quality rule.
+        rule_type (google.cloud.dataplex_v1.types.DataQualityScanRuleResult.RuleType):
+            The type of the data quality rule.
+        evalution_type (google.cloud.dataplex_v1.types.DataQualityScanRuleResult.EvaluationType):
+            The evaluation type of the data quality rule.
+        rule_dimension (str):
+            The dimension of the data quality rule.
+        threshold_percent (float):
+            The passing threshold ([0.0, 100.0]) of the data quality
+            rule.
+        result (google.cloud.dataplex_v1.types.DataQualityScanRuleResult.Result):
+            The result of the data quality rule.
+        evaluated_row_count (int):
+            The number of rows evaluated against the data quality rule.
+            This field is only valid for rules of PER_ROW evaluation
+            type.
+        passed_row_count (int):
+            The number of rows which passed a rule evaluation. This
+            field is only valid for rules of PER_ROW evaluation type.
+        null_row_count (int):
+            The number of rows with null values in the
+            specified column.
+        assertion_row_count (int):
+            The number of rows returned by the SQL
+            statement in a SQL assertion rule. This field is
+            only valid for SQL assertion rules.
+    """
+    class RuleType(proto.Enum):
+        r"""The type of the data quality rule.
+
+        Values:
+            RULE_TYPE_UNSPECIFIED (0):
+                An unspecified rule type.
+            NON_NULL_EXPECTATION (1):
+                See
+                [DataQualityRule.NonNullExpectation][google.cloud.dataplex.v1.DataQualityRule.NonNullExpectation].
+            RANGE_EXPECTATION (2):
+                See
+                [DataQualityRule.RangeExpectation][google.cloud.dataplex.v1.DataQualityRule.RangeExpectation].
+            REGEX_EXPECTATION (3):
+                See
+                [DataQualityRule.RegexExpectation][google.cloud.dataplex.v1.DataQualityRule.RegexExpectation].
+            ROW_CONDITION_EXPECTATION (4):
+                See
+                [DataQualityRule.RowConditionExpectation][google.cloud.dataplex.v1.DataQualityRule.RowConditionExpectation].
+            SET_EXPECTATION (5):
+                See
+                [DataQualityRule.SetExpectation][google.cloud.dataplex.v1.DataQualityRule.SetExpectation].
+            STATISTIC_RANGE_EXPECTATION (6):
+                See
+                [DataQualityRule.StatisticRangeExpectation][google.cloud.dataplex.v1.DataQualityRule.StatisticRangeExpectation].
+            TABLE_CONDITION_EXPECTATION (7):
+                See
+                [DataQualityRule.TableConditionExpectation][google.cloud.dataplex.v1.DataQualityRule.TableConditionExpectation].
+            UNIQUENESS_EXPECTATION (8):
+                See
+                [DataQualityRule.UniquenessExpectation][google.cloud.dataplex.v1.DataQualityRule.UniquenessExpectation].
+            SQL_ASSERTION (9):
+                See
+                [DataQualityRule.SqlAssertion][google.cloud.dataplex.v1.DataQualityRule.SqlAssertion].
+        """
+        RULE_TYPE_UNSPECIFIED = 0
+        NON_NULL_EXPECTATION = 1
+        RANGE_EXPECTATION = 2
+        REGEX_EXPECTATION = 3
+        ROW_CONDITION_EXPECTATION = 4
+        SET_EXPECTATION = 5
+        STATISTIC_RANGE_EXPECTATION = 6
+        TABLE_CONDITION_EXPECTATION = 7
+        UNIQUENESS_EXPECTATION = 8
+        SQL_ASSERTION = 9
+
+    class EvaluationType(proto.Enum):
+        r"""The evaluation type of the data quality rule.
+
+        Values:
+            EVALUATION_TYPE_UNSPECIFIED (0):
+                An unspecified evaluation type.
+            PER_ROW (1):
+                The rule evaluation is done at per row level.
+            AGGREGATE (2):
+                The rule evaluation is done for an aggregate
+                of rows.
+        """
+        EVALUATION_TYPE_UNSPECIFIED = 0
+        PER_ROW = 1
+        AGGREGATE = 2
+
+    class Result(proto.Enum):
+        r"""Whether the data quality rule passed or failed.
+
+        Values:
+            RESULT_UNSPECIFIED (0):
+                An unspecified result.
+            PASSED (1):
+                The data quality rule passed.
+            FAILED (2):
+                The data quality rule failed.
+        """
+        RESULT_UNSPECIFIED = 0
+        PASSED = 1
+        FAILED = 2
+
+    job_id: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    data_source: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+    column: str = proto.Field(
+        proto.STRING,
+        number=3,
+    )
+    rule_name: str = proto.Field(
+        proto.STRING,
+        number=4,
+    )
+    rule_type: RuleType = proto.Field(
+        proto.ENUM,
+        number=5,
+        enum=RuleType,
+    )
+    evalution_type: EvaluationType = proto.Field(
+        proto.ENUM,
+        number=6,
+        enum=EvaluationType,
+    )
+    rule_dimension: str = proto.Field(
+        proto.STRING,
+        number=7,
+    )
+    threshold_percent: float = proto.Field(
+        proto.DOUBLE,
+        number=8,
+    )
+    result: Result = proto.Field(
+        proto.ENUM,
+        number=9,
+        enum=Result,
+    )
+    evaluated_row_count: int = proto.Field(
+        proto.INT64,
+        number=10,
+    )
+    passed_row_count: int = proto.Field(
+        proto.INT64,
+        number=11,
+    )
+    null_row_count: int = proto.Field(
+        proto.INT64,
+        number=12,
+    )
+    assertion_row_count: int = proto.Field(
+        proto.INT64,
+        number=13,
+    )
+
+
+__all__ = tuple(sorted(__protobuf__.manifest))
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/metadata_.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/metadata_.py
new file mode 100644
index 000000000000..8d977d572bf0
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/metadata_.py
@@ -0,0 +1,1182 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from __future__ import annotations
+
+from typing import MutableMapping, MutableSequence
+
+import proto  # type: ignore
+
+from google.protobuf import timestamp_pb2  # type: ignore
+
+
+__protobuf__ = proto.module(
+    package='google.cloud.dataplex.v1',
+    manifest={
+        'StorageSystem',
+        'CreateEntityRequest',
+        'UpdateEntityRequest',
+        'DeleteEntityRequest',
+        'ListEntitiesRequest',
+        'ListEntitiesResponse',
+        'GetEntityRequest',
+        'ListPartitionsRequest',
+        'CreatePartitionRequest',
+        'DeletePartitionRequest',
+        'ListPartitionsResponse',
+        'GetPartitionRequest',
+        'Entity',
+        'Partition',
+        'Schema',
+        'StorageFormat',
+        'StorageAccess',
+    },
+)
+
+
+class StorageSystem(proto.Enum):
+    r"""Identifies the cloud system that manages the data storage.
+
+    Values:
+        STORAGE_SYSTEM_UNSPECIFIED (0):
+            Storage system unspecified.
+        CLOUD_STORAGE (1):
+            The entity data is contained within a Cloud
+            Storage bucket.
+        BIGQUERY (2):
+            The entity data is contained within a
+            BigQuery dataset.
+    """
+    STORAGE_SYSTEM_UNSPECIFIED = 0
+    CLOUD_STORAGE = 1
+    BIGQUERY = 2
+
+
+class CreateEntityRequest(proto.Message):
+    r"""Create a metadata entity request.
+
+    Attributes:
+        parent (str):
+            Required. The resource name of the parent zone:
+            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}``.
+        entity (google.cloud.dataplex_v1.types.Entity):
+            Required. Entity resource.
+        validate_only (bool):
+            Optional. Only validate the request, but do
+            not perform mutations. The default is false.
+    """
+
+    parent: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    entity: 'Entity' = proto.Field(
+        proto.MESSAGE,
+        number=3,
+        message='Entity',
+    )
+    validate_only: bool = proto.Field(
+        proto.BOOL,
+        number=4,
+    )
+
+
+class UpdateEntityRequest(proto.Message):
+    r"""Update a metadata entity request.
+    The exiting entity will be fully replaced by the entity in the
+    request. The entity ID is mutable. To modify the ID, use the
+    current entity ID in the request URL and specify the new ID in
+    the request body.
+
+    Attributes:
+        entity (google.cloud.dataplex_v1.types.Entity):
+            Required. Update description.
+        validate_only (bool):
+            Optional. Only validate the request, but do
+            not perform mutations. The default is false.
+    """
+
+    entity: 'Entity' = proto.Field(
+        proto.MESSAGE,
+        number=2,
+        message='Entity',
+    )
+    validate_only: bool = proto.Field(
+        proto.BOOL,
+        number=3,
+    )
+
+
+class DeleteEntityRequest(proto.Message):
+    r"""Delete a metadata entity request.
+
+    Attributes:
+        name (str):
+            Required. The resource name of the entity:
+            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/entities/{entity_id}``.
+        etag (str):
+            Required. The etag associated with the entity, which can be
+            retrieved with a [GetEntity][] request.
+    """
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    etag: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+
+
+class ListEntitiesRequest(proto.Message):
+    r"""List metadata entities request.
+
+    Attributes:
+        parent (str):
+            Required. The resource name of the parent zone:
+            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}``.
+        view (google.cloud.dataplex_v1.types.ListEntitiesRequest.EntityView):
+            Required. Specify the entity view to make a
+            partial list request.
+        page_size (int):
+            Optional. Maximum number of entities to
+            return. The service may return fewer than this
+            value. If unspecified, 100 entities will be
+            returned by default. The maximum value is 500;
+            larger values will will be truncated to 500.
+        page_token (str):
+            Optional. Page token received from a previous
+            ``ListEntities`` call. Provide this to retrieve the
+            subsequent page. When paginating, all other parameters
+            provided to ``ListEntities`` must match the call that
+            provided the page token.
+        filter (str):
+            Optional. The following filter parameters can be added to
+            the URL to limit the entities returned by the API:
+
+            -  Entity ID: ?filter="id=entityID"
+            -  Asset ID: ?filter="asset=assetID"
+            -  Data path ?filter="data_path=gs://my-bucket"
+            -  Is HIVE compatible: ?filter="hive_compatible=true"
+            -  Is BigQuery compatible:
+               ?filter="bigquery_compatible=true".
+    """
+    class EntityView(proto.Enum):
+        r"""Entity views.
+
+        Values:
+            ENTITY_VIEW_UNSPECIFIED (0):
+                The default unset value. Return both table
+                and fileset entities if unspecified.
+            TABLES (1):
+                Only list table entities.
+            FILESETS (2):
+                Only list fileset entities.
+        """
+        ENTITY_VIEW_UNSPECIFIED = 0
+        TABLES = 1
+        FILESETS = 2
+
+    parent: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    view: EntityView = proto.Field(
+        proto.ENUM,
+        number=2,
+        enum=EntityView,
+    )
+    page_size: int = proto.Field(
+        proto.INT32,
+        number=3,
+    )
+    page_token: str = proto.Field(
+        proto.STRING,
+        number=4,
+    )
+    filter: str = proto.Field(
+        proto.STRING,
+        number=5,
+    )
+
+
+class ListEntitiesResponse(proto.Message):
+    r"""List metadata entities response.
+
+    Attributes:
+        entities (MutableSequence[google.cloud.dataplex_v1.types.Entity]):
+            Entities in the specified parent zone.
+        next_page_token (str):
+            Token to retrieve the next page of results,
+            or empty if there are no remaining results in
+            the list.
+    """
+
+    @property
+    def raw_page(self):
+        return self
+
+    entities: MutableSequence['Entity'] = proto.RepeatedField(
+        proto.MESSAGE,
+        number=1,
+        message='Entity',
+    )
+    next_page_token: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+
+
+class GetEntityRequest(proto.Message):
+    r"""Get metadata entity request.
+
+    Attributes:
+        name (str):
+            Required. The resource name of the entity:
+            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/entities/{entity_id}.``
+        view (google.cloud.dataplex_v1.types.GetEntityRequest.EntityView):
+            Optional. Used to select the subset of entity information to
+            return. Defaults to ``BASIC``.
+    """
+    class EntityView(proto.Enum):
+        r"""Entity views for get entity partial result.
+
+        Values:
+            ENTITY_VIEW_UNSPECIFIED (0):
+                The API will default to the ``BASIC`` view.
+            BASIC (1):
+                Minimal view that does not include the
+                schema.
+            SCHEMA (2):
+                Include basic information and schema.
+            FULL (4):
+                Include everything. Currently, this is the
+                same as the SCHEMA view.
+        """
+        ENTITY_VIEW_UNSPECIFIED = 0
+        BASIC = 1
+        SCHEMA = 2
+        FULL = 4
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    view: EntityView = proto.Field(
+        proto.ENUM,
+        number=2,
+        enum=EntityView,
+    )
+
+
+class ListPartitionsRequest(proto.Message):
+    r"""List metadata partitions request.
+
+    Attributes:
+        parent (str):
+            Required. The resource name of the parent entity:
+            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/entities/{entity_id}``.
+        page_size (int):
+            Optional. Maximum number of partitions to
+            return. The service may return fewer than this
+            value. If unspecified, 100 partitions will be
+            returned by default. The maximum page size is
+            500; larger values will will be truncated to
+            500.
+        page_token (str):
+            Optional. Page token received from a previous
+            ``ListPartitions`` call. Provide this to retrieve the
+            subsequent page. When paginating, all other parameters
+            provided to ``ListPartitions`` must match the call that
+            provided the page token.
+        filter (str):
+            Optional. Filter the partitions returned to the caller using
+            a key value pair expression. Supported operators and syntax:
+
+            -  logic operators: AND, OR
+            -  comparison operators: <, >, >=, <= ,=, !=
+            -  LIKE operators:
+
+               -  The right hand of a LIKE operator supports "." and "*"
+                  for wildcard searches, for example "value1 LIKE
+                  ".*oo.*"
+
+            -  parenthetical grouping: ( )
+
+            Sample filter expression: \`?filter="key1 < value1 OR key2 >
+            value2"
+
+            **Notes:**
+
+            -  Keys to the left of operators are case insensitive.
+            -  Partition results are sorted first by creation time, then
+               by lexicographic order.
+            -  Up to 20 key value filter pairs are allowed, but due to
+               performance considerations, only the first 10 will be
+               used as a filter.
+    """
+
+    parent: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    page_size: int = proto.Field(
+        proto.INT32,
+        number=2,
+    )
+    page_token: str = proto.Field(
+        proto.STRING,
+        number=3,
+    )
+    filter: str = proto.Field(
+        proto.STRING,
+        number=4,
+    )
+
+
+class CreatePartitionRequest(proto.Message):
+    r"""Create metadata partition request.
+
+    Attributes:
+        parent (str):
+            Required. The resource name of the parent zone:
+            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/entities/{entity_id}``.
+        partition (google.cloud.dataplex_v1.types.Partition):
+            Required. Partition resource.
+        validate_only (bool):
+            Optional. Only validate the request, but do
+            not perform mutations. The default is false.
+    """
+
+    parent: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    partition: 'Partition' = proto.Field(
+        proto.MESSAGE,
+        number=3,
+        message='Partition',
+    )
+    validate_only: bool = proto.Field(
+        proto.BOOL,
+        number=4,
+    )
+
+
+class DeletePartitionRequest(proto.Message):
+    r"""Delete metadata partition request.
+
+    Attributes:
+        name (str):
+            Required. The resource name of the partition. format:
+            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/entities/{entity_id}/partitions/{partition_value_path}``.
+            The {partition_value_path} segment consists of an ordered
+            sequence of partition values separated by "/". All values
+            must be provided.
+        etag (str):
+            Optional. The etag associated with the
+            partition.
+    """
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    etag: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+
+
+class ListPartitionsResponse(proto.Message):
+    r"""List metadata partitions response.
+
+    Attributes:
+        partitions (MutableSequence[google.cloud.dataplex_v1.types.Partition]):
+            Partitions under the specified parent entity.
+        next_page_token (str):
+            Token to retrieve the next page of results,
+            or empty if there are no remaining results in
+            the list.
+    """
+
+    @property
+    def raw_page(self):
+        return self
+
+    partitions: MutableSequence['Partition'] = proto.RepeatedField(
+        proto.MESSAGE,
+        number=1,
+        message='Partition',
+    )
+    next_page_token: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+
+
+class GetPartitionRequest(proto.Message):
+    r"""Get metadata partition request.
+
+    Attributes:
+        name (str):
+            Required. The resource name of the partition:
+            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/entities/{entity_id}/partitions/{partition_value_path}``.
+            The {partition_value_path} segment consists of an ordered
+            sequence of partition values separated by "/". All values
+            must be provided.
+    """
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+
+
+class Entity(proto.Message):
+    r"""Represents tables and fileset metadata contained within a
+    zone.
+
+    Attributes:
+        name (str):
+            Output only. The resource name of the entity, of the form:
+            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/entities/{id}``.
+        display_name (str):
+            Optional. Display name must be shorter than
+            or equal to 256 characters.
+        description (str):
+            Optional. User friendly longer description
+            text. Must be shorter than or equal to 1024
+            characters.
+        create_time (google.protobuf.timestamp_pb2.Timestamp):
+            Output only. The time when the entity was
+            created.
+        update_time (google.protobuf.timestamp_pb2.Timestamp):
+            Output only. The time when the entity was
+            last updated.
+        id (str):
+            Required. A user-provided entity ID. It is
+            mutable, and will be used as the published table
+            name. Specifying a new ID in an update entity
+            request will override the existing value.
+            The ID must contain only letters (a-z, A-Z),
+            numbers (0-9), and underscores, and consist of
+            256 or fewer characters.
+        etag (str):
+            Optional. The etag associated with the entity, which can be
+            retrieved with a [GetEntity][] request. Required for update
+            and delete requests.
+        type_ (google.cloud.dataplex_v1.types.Entity.Type):
+            Required. Immutable. The type of entity.
+        asset (str):
+            Required. Immutable. The ID of the asset
+            associated with the storage location containing
+            the entity data. The entity must be with in the
+            same zone with the asset.
+        data_path (str):
+            Required. Immutable. The storage path of the entity data.
+            For Cloud Storage data, this is the fully-qualified path to
+            the entity, such as ``gs://bucket/path/to/data``. For
+            BigQuery data, this is the name of the table resource, such
+            as
+            ``projects/project_id/datasets/dataset_id/tables/table_id``.
+        data_path_pattern (str):
+            Optional. The set of items within the data path constituting
+            the data in the entity, represented as a glob path. Example:
+            ``gs://bucket/path/to/data/**/*.csv``.
+        catalog_entry (str):
+            Output only. The name of the associated Data
+            Catalog entry.
+        system (google.cloud.dataplex_v1.types.StorageSystem):
+            Required. Immutable. Identifies the storage
+            system of the entity data.
+        format_ (google.cloud.dataplex_v1.types.StorageFormat):
+            Required. Identifies the storage format of
+            the entity data. It does not apply to entities
+            with data stored in BigQuery.
+        compatibility (google.cloud.dataplex_v1.types.Entity.CompatibilityStatus):
+            Output only. Metadata stores that the entity
+            is compatible with.
+        access (google.cloud.dataplex_v1.types.StorageAccess):
+            Output only. Identifies the access mechanism
+            to the entity. Not user settable.
+        uid (str):
+            Output only. System generated unique ID for
+            the Entity. This ID will be different if the
+            Entity is deleted and re-created with the same
+            name.
+        schema (google.cloud.dataplex_v1.types.Schema):
+            Required. The description of the data structure and layout.
+            The schema is not included in list responses. It is only
+            included in ``SCHEMA`` and ``FULL`` entity views of a
+            ``GetEntity`` response.
+    """
+    class Type(proto.Enum):
+        r"""The type of entity.
+
+        Values:
+            TYPE_UNSPECIFIED (0):
+                Type unspecified.
+            TABLE (1):
+                Structured and semi-structured data.
+            FILESET (2):
+                Unstructured data.
+        """
+        TYPE_UNSPECIFIED = 0
+        TABLE = 1
+        FILESET = 2
+
+    class CompatibilityStatus(proto.Message):
+        r"""Provides compatibility information for various metadata
+        stores.
+
+        Attributes:
+            hive_metastore (google.cloud.dataplex_v1.types.Entity.CompatibilityStatus.Compatibility):
+                Output only. Whether this entity is
+                compatible with Hive Metastore.
+            bigquery (google.cloud.dataplex_v1.types.Entity.CompatibilityStatus.Compatibility):
+                Output only. Whether this entity is
+                compatible with BigQuery.
+        """
+
+        class Compatibility(proto.Message):
+            r"""Provides compatibility information for a specific metadata
+            store.
+
+            Attributes:
+                compatible (bool):
+                    Output only. Whether the entity is compatible
+                    and can be represented in the metadata store.
+                reason (str):
+                    Output only. Provides additional detail if
+                    the entity is incompatible with the metadata
+                    store.
+            """
+
+            compatible: bool = proto.Field(
+                proto.BOOL,
+                number=1,
+            )
+            reason: str = proto.Field(
+                proto.STRING,
+                number=2,
+            )
+
+        hive_metastore: 'Entity.CompatibilityStatus.Compatibility' = proto.Field(
+            proto.MESSAGE,
+            number=1,
+            message='Entity.CompatibilityStatus.Compatibility',
+        )
+        bigquery: 'Entity.CompatibilityStatus.Compatibility' = proto.Field(
+            proto.MESSAGE,
+            number=2,
+            message='Entity.CompatibilityStatus.Compatibility',
+        )
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    display_name: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+    description: str = proto.Field(
+        proto.STRING,
+        number=3,
+    )
+    create_time: timestamp_pb2.Timestamp = proto.Field(
+        proto.MESSAGE,
+        number=5,
+        message=timestamp_pb2.Timestamp,
+    )
+    update_time: timestamp_pb2.Timestamp = proto.Field(
+        proto.MESSAGE,
+        number=6,
+        message=timestamp_pb2.Timestamp,
+    )
+    id: str = proto.Field(
+        proto.STRING,
+        number=7,
+    )
+    etag: str = proto.Field(
+        proto.STRING,
+        number=8,
+    )
+    type_: Type = proto.Field(
+        proto.ENUM,
+        number=10,
+        enum=Type,
+    )
+    asset: str = proto.Field(
+        proto.STRING,
+        number=11,
+    )
+    data_path: str = proto.Field(
+        proto.STRING,
+        number=12,
+    )
+    data_path_pattern: str = proto.Field(
+        proto.STRING,
+        number=13,
+    )
+    catalog_entry: str = proto.Field(
+        proto.STRING,
+        number=14,
+    )
+    system: 'StorageSystem' = proto.Field(
+        proto.ENUM,
+        number=15,
+        enum='StorageSystem',
+    )
+    format_: 'StorageFormat' = proto.Field(
+        proto.MESSAGE,
+        number=16,
+        message='StorageFormat',
+    )
+    compatibility: CompatibilityStatus = proto.Field(
+        proto.MESSAGE,
+        number=19,
+        message=CompatibilityStatus,
+    )
+    access: 'StorageAccess' = proto.Field(
+        proto.MESSAGE,
+        number=21,
+        message='StorageAccess',
+    )
+    uid: str = proto.Field(
+        proto.STRING,
+        number=22,
+    )
+    schema: 'Schema' = proto.Field(
+        proto.MESSAGE,
+        number=50,
+        message='Schema',
+    )
+
+
+class Partition(proto.Message):
+    r"""Represents partition metadata contained within entity
+    instances.
+
+    Attributes:
+        name (str):
+            Output only. Partition values used in the HTTP URL must be
+            double encoded. For example,
+            ``url_encode(url_encode(value))`` can be used to encode
+            "US:CA/CA#Sunnyvale so that the request URL ends with
+            "/partitions/US%253ACA/CA%2523Sunnyvale". The name field in
+            the response retains the encoded format.
+        values (MutableSequence[str]):
+            Required. Immutable. The set of values
+            representing the partition, which correspond to
+            the partition schema defined in the parent
+            entity.
+        location (str):
+            Required. Immutable. The location of the entity data within
+            the partition, for example,
+            ``gs://bucket/path/to/entity/key1=value1/key2=value2``. Or
+            ``projects/<project_id>/datasets/<dataset_id>/tables/<table_id>``
+        etag (str):
+            Optional. The etag for this partition.
+    """
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    values: MutableSequence[str] = proto.RepeatedField(
+        proto.STRING,
+        number=2,
+    )
+    location: str = proto.Field(
+        proto.STRING,
+        number=3,
+    )
+    etag: str = proto.Field(
+        proto.STRING,
+        number=4,
+    )
+
+
+class Schema(proto.Message):
+    r"""Schema information describing the structure and layout of the
+    data.
+
+    Attributes:
+        user_managed (bool):
+            Required. Set to ``true`` if user-managed or ``false`` if
+            managed by Dataplex. The default is ``false`` (managed by
+            Dataplex).
+
+            -  Set to ``false``\ to enable Dataplex discovery to update
+               the schema. including new data discovery, schema
+               inference, and schema evolution. Users retain the ability
+               to input and edit the schema. Dataplex treats schema
+               input by the user as though produced by a previous
+               Dataplex discovery operation, and it will evolve the
+               schema and take action based on that treatment.
+
+            -  Set to ``true`` to fully manage the entity schema. This
+               setting guarantees that Dataplex will not change schema
+               fields.
+        fields (MutableSequence[google.cloud.dataplex_v1.types.Schema.SchemaField]):
+            Optional. The sequence of fields describing data in table
+            entities. **Note:** BigQuery SchemaFields are immutable.
+        partition_fields (MutableSequence[google.cloud.dataplex_v1.types.Schema.PartitionField]):
+            Optional. The sequence of fields describing
+            the partition structure in entities. If this
+            field is empty, there are no partitions within
+            the data.
+        partition_style (google.cloud.dataplex_v1.types.Schema.PartitionStyle):
+            Optional. The structure of paths containing
+            partition data within the entity.
+    """
+    class Type(proto.Enum):
+        r"""Type information for fields in schemas and partition schemas.
+
+        Values:
+            TYPE_UNSPECIFIED (0):
+                SchemaType unspecified.
+            BOOLEAN (1):
+                Boolean field.
+            BYTE (2):
+                Single byte numeric field.
+            INT16 (3):
+                16-bit numeric field.
+            INT32 (4):
+                32-bit numeric field.
+            INT64 (5):
+                64-bit numeric field.
+            FLOAT (6):
+                Floating point numeric field.
+            DOUBLE (7):
+                Double precision numeric field.
+            DECIMAL (8):
+                Real value numeric field.
+            STRING (9):
+                Sequence of characters field.
+            BINARY (10):
+                Sequence of bytes field.
+            TIMESTAMP (11):
+                Date and time field.
+            DATE (12):
+                Date field.
+            TIME (13):
+                Time field.
+            RECORD (14):
+                Structured field. Nested fields that define
+                the structure of the map. If all nested fields
+                are nullable, this field represents a union.
+            NULL (100):
+                Null field that does not have values.
+        """
+        TYPE_UNSPECIFIED = 0
+        BOOLEAN = 1
+        BYTE = 2
+        INT16 = 3
+        INT32 = 4
+        INT64 = 5
+        FLOAT = 6
+        DOUBLE = 7
+        DECIMAL = 8
+        STRING = 9
+        BINARY = 10
+        TIMESTAMP = 11
+        DATE = 12
+        TIME = 13
+        RECORD = 14
+        NULL = 100
+
+    class Mode(proto.Enum):
+        r"""Additional qualifiers to define field semantics.
+
+        Values:
+            MODE_UNSPECIFIED (0):
+                Mode unspecified.
+            REQUIRED (1):
+                The field has required semantics.
+            NULLABLE (2):
+                The field has optional semantics, and may be
+                null.
+            REPEATED (3):
+                The field has repeated (0 or more) semantics,
+                and is a list of values.
+        """
+        MODE_UNSPECIFIED = 0
+        REQUIRED = 1
+        NULLABLE = 2
+        REPEATED = 3
+
+    class PartitionStyle(proto.Enum):
+        r"""The structure of paths within the entity, which represent
+        partitions.
+
+        Values:
+            PARTITION_STYLE_UNSPECIFIED (0):
+                PartitionStyle unspecified
+            HIVE_COMPATIBLE (1):
+                Partitions are hive-compatible. Examples:
+                ``gs://bucket/path/to/table/dt=2019-10-31/lang=en``,
+                ``gs://bucket/path/to/table/dt=2019-10-31/lang=en/late``.
+        """
+        PARTITION_STYLE_UNSPECIFIED = 0
+        HIVE_COMPATIBLE = 1
+
+    class SchemaField(proto.Message):
+        r"""Represents a column field within a table schema.
+
+        Attributes:
+            name (str):
+                Required. The name of the field. Must contain
+                only letters, numbers and underscores, with a
+                maximum length of 767 characters, and must begin
+                with a letter or underscore.
+            description (str):
+                Optional. User friendly field description.
+                Must be less than or equal to 1024 characters.
+            type_ (google.cloud.dataplex_v1.types.Schema.Type):
+                Required. The type of field.
+            mode (google.cloud.dataplex_v1.types.Schema.Mode):
+                Required. Additional field semantics.
+            fields (MutableSequence[google.cloud.dataplex_v1.types.Schema.SchemaField]):
+                Optional. Any nested field for complex types.
+        """
+
+        name: str = proto.Field(
+            proto.STRING,
+            number=1,
+        )
+        description: str = proto.Field(
+            proto.STRING,
+            number=2,
+        )
+        type_: 'Schema.Type' = proto.Field(
+            proto.ENUM,
+            number=3,
+            enum='Schema.Type',
+        )
+        mode: 'Schema.Mode' = proto.Field(
+            proto.ENUM,
+            number=4,
+            enum='Schema.Mode',
+        )
+        fields: MutableSequence['Schema.SchemaField'] = proto.RepeatedField(
+            proto.MESSAGE,
+            number=10,
+            message='Schema.SchemaField',
+        )
+
+    class PartitionField(proto.Message):
+        r"""Represents a key field within the entity's partition structure. You
+        could have up to 20 partition fields, but only the first 10
+        partitions have the filtering ability due to performance
+        consideration. **Note:** Partition fields are immutable.
+
+        Attributes:
+            name (str):
+                Required. Partition field name must consist
+                of letters, numbers, and underscores only, with
+                a maximum of length of 256 characters, and must
+                begin with a letter or underscore..
+            type_ (google.cloud.dataplex_v1.types.Schema.Type):
+                Required. Immutable. The type of field.
+        """
+
+        name: str = proto.Field(
+            proto.STRING,
+            number=1,
+        )
+        type_: 'Schema.Type' = proto.Field(
+            proto.ENUM,
+            number=2,
+            enum='Schema.Type',
+        )
+
+    user_managed: bool = proto.Field(
+        proto.BOOL,
+        number=1,
+    )
+    fields: MutableSequence[SchemaField] = proto.RepeatedField(
+        proto.MESSAGE,
+        number=2,
+        message=SchemaField,
+    )
+    partition_fields: MutableSequence[PartitionField] = proto.RepeatedField(
+        proto.MESSAGE,
+        number=3,
+        message=PartitionField,
+    )
+    partition_style: PartitionStyle = proto.Field(
+        proto.ENUM,
+        number=4,
+        enum=PartitionStyle,
+    )
+
+
+class StorageFormat(proto.Message):
+    r"""Describes the format of the data within its storage location.
+
+    This message has `oneof`_ fields (mutually exclusive fields).
+    For each oneof, at most one member field can be set at the same time.
+    Setting any member of the oneof automatically clears all other
+    members.
+
+    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
+
+    Attributes:
+        format_ (google.cloud.dataplex_v1.types.StorageFormat.Format):
+            Output only. The data format associated with
+            the stored data, which represents content type
+            values. The value is inferred from mime type.
+        compression_format (google.cloud.dataplex_v1.types.StorageFormat.CompressionFormat):
+            Optional. The compression type associated
+            with the stored data. If unspecified, the data
+            is uncompressed.
+        mime_type (str):
+            Required. The mime type descriptor for the
+            data. Must match the pattern {type}/{subtype}.
+            Supported values:
+
+            - application/x-parquet
+            - application/x-avro
+            - application/x-orc
+            - application/x-tfrecord
+            - application/x-parquet+iceberg
+            - application/x-avro+iceberg
+            - application/x-orc+iceberg
+            - application/json
+            - application/{subtypes}
+            - text/csv
+            - text/<subtypes>
+            - image/{image subtype}
+            - video/{video subtype}
+            - audio/{audio subtype}
+        csv (google.cloud.dataplex_v1.types.StorageFormat.CsvOptions):
+            Optional. Additional information about CSV
+            formatted data.
+
+            This field is a member of `oneof`_ ``options``.
+        json (google.cloud.dataplex_v1.types.StorageFormat.JsonOptions):
+            Optional. Additional information about CSV
+            formatted data.
+
+            This field is a member of `oneof`_ ``options``.
+        iceberg (google.cloud.dataplex_v1.types.StorageFormat.IcebergOptions):
+            Optional. Additional information about
+            iceberg tables.
+
+            This field is a member of `oneof`_ ``options``.
+    """
+    class Format(proto.Enum):
+        r"""The specific file format of the data.
+
+        Values:
+            FORMAT_UNSPECIFIED (0):
+                Format unspecified.
+            PARQUET (1):
+                Parquet-formatted structured data.
+            AVRO (2):
+                Avro-formatted structured data.
+            ORC (3):
+                Orc-formatted structured data.
+            CSV (100):
+                Csv-formatted semi-structured data.
+            JSON (101):
+                Json-formatted semi-structured data.
+            IMAGE (200):
+                Image data formats (such as jpg and png).
+            AUDIO (201):
+                Audio data formats (such as mp3, and wav).
+            VIDEO (202):
+                Video data formats (such as mp4 and mpg).
+            TEXT (203):
+                Textual data formats (such as txt and xml).
+            TFRECORD (204):
+                TensorFlow record format.
+            OTHER (1000):
+                Data that doesn't match a specific format.
+            UNKNOWN (1001):
+                Data of an unknown format.
+        """
+        FORMAT_UNSPECIFIED = 0
+        PARQUET = 1
+        AVRO = 2
+        ORC = 3
+        CSV = 100
+        JSON = 101
+        IMAGE = 200
+        AUDIO = 201
+        VIDEO = 202
+        TEXT = 203
+        TFRECORD = 204
+        OTHER = 1000
+        UNKNOWN = 1001
+
+    class CompressionFormat(proto.Enum):
+        r"""The specific compressed file format of the data.
+
+        Values:
+            COMPRESSION_FORMAT_UNSPECIFIED (0):
+                CompressionFormat unspecified. Implies
+                uncompressed data.
+            GZIP (2):
+                GZip compressed set of files.
+            BZIP2 (3):
+                BZip2 compressed set of files.
+        """
+        COMPRESSION_FORMAT_UNSPECIFIED = 0
+        GZIP = 2
+        BZIP2 = 3
+
+    class CsvOptions(proto.Message):
+        r"""Describes CSV and similar semi-structured data formats.
+
+        Attributes:
+            encoding (str):
+                Optional. The character encoding of the data.
+                Accepts "US-ASCII", "UTF-8", and "ISO-8859-1".
+                Defaults to UTF-8 if unspecified.
+            header_rows (int):
+                Optional. The number of rows to interpret as
+                header rows that should be skipped when reading
+                data rows. Defaults to 0.
+            delimiter (str):
+                Optional. The delimiter used to separate
+                values. Defaults to ','.
+            quote (str):
+                Optional. The character used to quote column
+                values. Accepts '"' (double quotation mark) or
+                ''' (single quotation mark). Defaults to '"'
+                (double quotation mark) if unspecified.
+        """
+
+        encoding: str = proto.Field(
+            proto.STRING,
+            number=1,
+        )
+        header_rows: int = proto.Field(
+            proto.INT32,
+            number=2,
+        )
+        delimiter: str = proto.Field(
+            proto.STRING,
+            number=3,
+        )
+        quote: str = proto.Field(
+            proto.STRING,
+            number=4,
+        )
+
+    class JsonOptions(proto.Message):
+        r"""Describes JSON data format.
+
+        Attributes:
+            encoding (str):
+                Optional. The character encoding of the data.
+                Accepts "US-ASCII", "UTF-8" and "ISO-8859-1".
+                Defaults to UTF-8 if not specified.
+        """
+
+        encoding: str = proto.Field(
+            proto.STRING,
+            number=1,
+        )
+
+    class IcebergOptions(proto.Message):
+        r"""Describes Iceberg data format.
+
+        Attributes:
+            metadata_location (str):
+                Optional. The location of where the iceberg
+                metadata is present, must be within the table
+                path
+        """
+
+        metadata_location: str = proto.Field(
+            proto.STRING,
+            number=1,
+        )
+
+    format_: Format = proto.Field(
+        proto.ENUM,
+        number=1,
+        enum=Format,
+    )
+    compression_format: CompressionFormat = proto.Field(
+        proto.ENUM,
+        number=2,
+        enum=CompressionFormat,
+    )
+    mime_type: str = proto.Field(
+        proto.STRING,
+        number=3,
+    )
+    csv: CsvOptions = proto.Field(
+        proto.MESSAGE,
+        number=10,
+        oneof='options',
+        message=CsvOptions,
+    )
+    json: JsonOptions = proto.Field(
+        proto.MESSAGE,
+        number=11,
+        oneof='options',
+        message=JsonOptions,
+    )
+    iceberg: IcebergOptions = proto.Field(
+        proto.MESSAGE,
+        number=12,
+        oneof='options',
+        message=IcebergOptions,
+    )
+
+
+class StorageAccess(proto.Message):
+    r"""Describes the access mechanism of the data within its storage
+    location.
+
+    Attributes:
+        read (google.cloud.dataplex_v1.types.StorageAccess.AccessMode):
+            Output only. Describes the read access
+            mechanism of the data. Not user settable.
+    """
+    class AccessMode(proto.Enum):
+        r"""Access Mode determines how data stored within the Entity is
+        read.
+
+        Values:
+            ACCESS_MODE_UNSPECIFIED (0):
+                Access mode unspecified.
+            DIRECT (1):
+                Default. Data is accessed directly using
+                storage APIs.
+            MANAGED (2):
+                Data is accessed through a managed interface
+                using BigQuery APIs.
+        """
+        ACCESS_MODE_UNSPECIFIED = 0
+        DIRECT = 1
+        MANAGED = 2
+
+    read: AccessMode = proto.Field(
+        proto.ENUM,
+        number=21,
+        enum=AccessMode,
+    )
+
+
+__all__ = tuple(sorted(__protobuf__.manifest))
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/processing.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/processing.py
new file mode 100644
index 000000000000..4e88739fa5ce
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/processing.py
@@ -0,0 +1,186 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from __future__ import annotations
+
+from typing import MutableMapping, MutableSequence
+
+import proto  # type: ignore
+
+
+__protobuf__ = proto.module(
+    package='google.cloud.dataplex.v1',
+    manifest={
+        'Trigger',
+        'DataSource',
+        'ScannedData',
+    },
+)
+
+
+class Trigger(proto.Message):
+    r"""DataScan scheduling and trigger settings.
+
+    This message has `oneof`_ fields (mutually exclusive fields).
+    For each oneof, at most one member field can be set at the same time.
+    Setting any member of the oneof automatically clears all other
+    members.
+
+    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
+
+    Attributes:
+        on_demand (google.cloud.dataplex_v1.types.Trigger.OnDemand):
+            The scan runs once via ``RunDataScan`` API.
+
+            This field is a member of `oneof`_ ``mode``.
+        schedule (google.cloud.dataplex_v1.types.Trigger.Schedule):
+            The scan is scheduled to run periodically.
+
+            This field is a member of `oneof`_ ``mode``.
+    """
+
+    class OnDemand(proto.Message):
+        r"""The scan runs once via ``RunDataScan`` API.
+        """
+
+    class Schedule(proto.Message):
+        r"""The scan is scheduled to run periodically.
+
+        Attributes:
+            cron (str):
+                Required. `Cron <https://en.wikipedia.org/wiki/Cron>`__
+                schedule for running scans periodically.
+
+                To explicitly set a timezone in the cron tab, apply a prefix
+                in the cron tab: **"CRON_TZ=${IANA_TIME_ZONE}"** or
+                **"TZ=${IANA_TIME_ZONE}"**. The **${IANA_TIME_ZONE}** may
+                only be a valid string from IANA time zone database
+                (`wikipedia <https://en.wikipedia.org/wiki/List_of_tz_database_time_zones#List>`__).
+                For example, ``CRON_TZ=America/New_York 1 * * * *``, or
+                ``TZ=America/New_York 1 * * * *``.
+
+                This field is required for Schedule scans.
+        """
+
+        cron: str = proto.Field(
+            proto.STRING,
+            number=1,
+        )
+
+    on_demand: OnDemand = proto.Field(
+        proto.MESSAGE,
+        number=100,
+        oneof='mode',
+        message=OnDemand,
+    )
+    schedule: Schedule = proto.Field(
+        proto.MESSAGE,
+        number=101,
+        oneof='mode',
+        message=Schedule,
+    )
+
+
+class DataSource(proto.Message):
+    r"""The data source for DataScan.
+
+    This message has `oneof`_ fields (mutually exclusive fields).
+    For each oneof, at most one member field can be set at the same time.
+    Setting any member of the oneof automatically clears all other
+    members.
+
+    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
+
+    Attributes:
+        entity (str):
+            Immutable. The Dataplex entity that represents the data
+            source (e.g. BigQuery table) for DataScan, of the form:
+            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/entities/{entity_id}``.
+
+            This field is a member of `oneof`_ ``source``.
+        resource (str):
+            Immutable. The service-qualified full resource name of the
+            cloud resource for a DataScan job to scan against. The field
+            could be: BigQuery table of type "TABLE" for
+            DataProfileScan/DataQualityScan Format:
+            //bigquery.googleapis.com/projects/PROJECT_ID/datasets/DATASET_ID/tables/TABLE_ID
+
+            This field is a member of `oneof`_ ``source``.
+    """
+
+    entity: str = proto.Field(
+        proto.STRING,
+        number=100,
+        oneof='source',
+    )
+    resource: str = proto.Field(
+        proto.STRING,
+        number=101,
+        oneof='source',
+    )
+
+
+class ScannedData(proto.Message):
+    r"""The data scanned during processing (e.g. in incremental
+    DataScan)
+
+
+    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
+
+    Attributes:
+        incremental_field (google.cloud.dataplex_v1.types.ScannedData.IncrementalField):
+            The range denoted by values of an incremental
+            field
+
+            This field is a member of `oneof`_ ``data_range``.
+    """
+
+    class IncrementalField(proto.Message):
+        r"""A data range denoted by a pair of start/end values of a
+        field.
+
+        Attributes:
+            field (str):
+                The field that contains values which
+                monotonically increases over time (e.g. a
+                timestamp column).
+            start (str):
+                Value that marks the start of the range.
+            end (str):
+                Value that marks the end of the range.
+        """
+
+        field: str = proto.Field(
+            proto.STRING,
+            number=1,
+        )
+        start: str = proto.Field(
+            proto.STRING,
+            number=2,
+        )
+        end: str = proto.Field(
+            proto.STRING,
+            number=3,
+        )
+
+    incremental_field: IncrementalField = proto.Field(
+        proto.MESSAGE,
+        number=1,
+        oneof='data_range',
+        message=IncrementalField,
+    )
+
+
+__all__ = tuple(sorted(__protobuf__.manifest))
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/resources.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/resources.py
new file mode 100644
index 000000000000..d07ae9df21e3
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/resources.py
@@ -0,0 +1,1444 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from __future__ import annotations
+
+from typing import MutableMapping, MutableSequence
+
+import proto  # type: ignore
+
+from google.protobuf import duration_pb2  # type: ignore
+from google.protobuf import timestamp_pb2  # type: ignore
+
+
+__protobuf__ = proto.module(
+    package='google.cloud.dataplex.v1',
+    manifest={
+        'State',
+        'Lake',
+        'AssetStatus',
+        'Zone',
+        'Action',
+        'Asset',
+    },
+)
+
+
+class State(proto.Enum):
+    r"""State of a resource.
+
+    Values:
+        STATE_UNSPECIFIED (0):
+            State is not specified.
+        ACTIVE (1):
+            Resource is active, i.e., ready to use.
+        CREATING (2):
+            Resource is under creation.
+        DELETING (3):
+            Resource is under deletion.
+        ACTION_REQUIRED (4):
+            Resource is active but has unresolved
+            actions.
+    """
+    STATE_UNSPECIFIED = 0
+    ACTIVE = 1
+    CREATING = 2
+    DELETING = 3
+    ACTION_REQUIRED = 4
+
+
+class Lake(proto.Message):
+    r"""A lake is a centralized repository for managing enterprise
+    data across the organization distributed across many cloud
+    projects, and stored in a variety of storage services such as
+    Google Cloud Storage and BigQuery. The resources attached to a
+    lake are referred to as managed resources. Data within these
+    managed resources can be structured or unstructured. A lake
+    provides data admins with tools to organize, secure and manage
+    their data at scale, and provides data scientists and data
+    engineers an integrated experience to easily search, discover,
+    analyze and transform data and associated metadata.
+
+    Attributes:
+        name (str):
+            Output only. The relative resource name of the lake, of the
+            form:
+            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}``.
+        display_name (str):
+            Optional. User friendly display name.
+        uid (str):
+            Output only. System generated globally unique
+            ID for the lake. This ID will be different if
+            the lake is deleted and re-created with the same
+            name.
+        create_time (google.protobuf.timestamp_pb2.Timestamp):
+            Output only. The time when the lake was
+            created.
+        update_time (google.protobuf.timestamp_pb2.Timestamp):
+            Output only. The time when the lake was last
+            updated.
+        labels (MutableMapping[str, str]):
+            Optional. User-defined labels for the lake.
+        description (str):
+            Optional. Description of the lake.
+        state (google.cloud.dataplex_v1.types.State):
+            Output only. Current state of the lake.
+        service_account (str):
+            Output only. Service account associated with
+            this lake. This service account must be
+            authorized to access or operate on resources
+            managed by the lake.
+        metastore (google.cloud.dataplex_v1.types.Lake.Metastore):
+            Optional. Settings to manage lake and
+            Dataproc Metastore service instance association.
+        asset_status (google.cloud.dataplex_v1.types.AssetStatus):
+            Output only. Aggregated status of the
+            underlying assets of the lake.
+        metastore_status (google.cloud.dataplex_v1.types.Lake.MetastoreStatus):
+            Output only. Metastore status of the lake.
+    """
+
+    class Metastore(proto.Message):
+        r"""Settings to manage association of Dataproc Metastore with a
+        lake.
+
+        Attributes:
+            service (str):
+                Optional. A relative reference to the Dataproc Metastore
+                (https://cloud.google.com/dataproc-metastore/docs) service
+                associated with the lake:
+                ``projects/{project_id}/locations/{location_id}/services/{service_id}``
+        """
+
+        service: str = proto.Field(
+            proto.STRING,
+            number=1,
+        )
+
+    class MetastoreStatus(proto.Message):
+        r"""Status of Lake and Dataproc Metastore service instance
+        association.
+
+        Attributes:
+            state (google.cloud.dataplex_v1.types.Lake.MetastoreStatus.State):
+                Current state of association.
+            message (str):
+                Additional information about the current
+                status.
+            update_time (google.protobuf.timestamp_pb2.Timestamp):
+                Last update time of the metastore status of
+                the lake.
+            endpoint (str):
+                The URI of the endpoint used to access the
+                Metastore service.
+        """
+        class State(proto.Enum):
+            r"""Current state of association.
+
+            Values:
+                STATE_UNSPECIFIED (0):
+                    Unspecified.
+                NONE (1):
+                    A Metastore service instance is not
+                    associated with the lake.
+                READY (2):
+                    A Metastore service instance is attached to
+                    the lake.
+                UPDATING (3):
+                    Attach/detach is in progress.
+                ERROR (4):
+                    Attach/detach could not be done due to
+                    errors.
+            """
+            STATE_UNSPECIFIED = 0
+            NONE = 1
+            READY = 2
+            UPDATING = 3
+            ERROR = 4
+
+        state: 'Lake.MetastoreStatus.State' = proto.Field(
+            proto.ENUM,
+            number=1,
+            enum='Lake.MetastoreStatus.State',
+        )
+        message: str = proto.Field(
+            proto.STRING,
+            number=2,
+        )
+        update_time: timestamp_pb2.Timestamp = proto.Field(
+            proto.MESSAGE,
+            number=3,
+            message=timestamp_pb2.Timestamp,
+        )
+        endpoint: str = proto.Field(
+            proto.STRING,
+            number=4,
+        )
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    display_name: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+    uid: str = proto.Field(
+        proto.STRING,
+        number=3,
+    )
+    create_time: timestamp_pb2.Timestamp = proto.Field(
+        proto.MESSAGE,
+        number=4,
+        message=timestamp_pb2.Timestamp,
+    )
+    update_time: timestamp_pb2.Timestamp = proto.Field(
+        proto.MESSAGE,
+        number=5,
+        message=timestamp_pb2.Timestamp,
+    )
+    labels: MutableMapping[str, str] = proto.MapField(
+        proto.STRING,
+        proto.STRING,
+        number=6,
+    )
+    description: str = proto.Field(
+        proto.STRING,
+        number=7,
+    )
+    state: 'State' = proto.Field(
+        proto.ENUM,
+        number=8,
+        enum='State',
+    )
+    service_account: str = proto.Field(
+        proto.STRING,
+        number=9,
+    )
+    metastore: Metastore = proto.Field(
+        proto.MESSAGE,
+        number=102,
+        message=Metastore,
+    )
+    asset_status: 'AssetStatus' = proto.Field(
+        proto.MESSAGE,
+        number=103,
+        message='AssetStatus',
+    )
+    metastore_status: MetastoreStatus = proto.Field(
+        proto.MESSAGE,
+        number=104,
+        message=MetastoreStatus,
+    )
+
+
+class AssetStatus(proto.Message):
+    r"""Aggregated status of the underlying assets of a lake or zone.
+
+    Attributes:
+        update_time (google.protobuf.timestamp_pb2.Timestamp):
+            Last update time of the status.
+        active_assets (int):
+            Number of active assets.
+        security_policy_applying_assets (int):
+            Number of assets that are in process of
+            updating the security policy on attached
+            resources.
+    """
+
+    update_time: timestamp_pb2.Timestamp = proto.Field(
+        proto.MESSAGE,
+        number=1,
+        message=timestamp_pb2.Timestamp,
+    )
+    active_assets: int = proto.Field(
+        proto.INT32,
+        number=2,
+    )
+    security_policy_applying_assets: int = proto.Field(
+        proto.INT32,
+        number=3,
+    )
+
+
+class Zone(proto.Message):
+    r"""A zone represents a logical group of related assets within a
+    lake. A zone can be used to map to organizational structure or
+    represent stages of data readiness from raw to curated. It
+    provides managing behavior that is shared or inherited by all
+    contained assets.
+
+    Attributes:
+        name (str):
+            Output only. The relative resource name of the zone, of the
+            form:
+            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}``.
+        display_name (str):
+            Optional. User friendly display name.
+        uid (str):
+            Output only. System generated globally unique
+            ID for the zone. This ID will be different if
+            the zone is deleted and re-created with the same
+            name.
+        create_time (google.protobuf.timestamp_pb2.Timestamp):
+            Output only. The time when the zone was
+            created.
+        update_time (google.protobuf.timestamp_pb2.Timestamp):
+            Output only. The time when the zone was last
+            updated.
+        labels (MutableMapping[str, str]):
+            Optional. User defined labels for the zone.
+        description (str):
+            Optional. Description of the zone.
+        state (google.cloud.dataplex_v1.types.State):
+            Output only. Current state of the zone.
+        type_ (google.cloud.dataplex_v1.types.Zone.Type):
+            Required. Immutable. The type of the zone.
+        discovery_spec (google.cloud.dataplex_v1.types.Zone.DiscoverySpec):
+            Optional. Specification of the discovery
+            feature applied to data in this zone.
+        resource_spec (google.cloud.dataplex_v1.types.Zone.ResourceSpec):
+            Required. Specification of the resources that
+            are referenced by the assets within this zone.
+        asset_status (google.cloud.dataplex_v1.types.AssetStatus):
+            Output only. Aggregated status of the
+            underlying assets of the zone.
+    """
+    class Type(proto.Enum):
+        r"""Type of zone.
+
+        Values:
+            TYPE_UNSPECIFIED (0):
+                Zone type not specified.
+            RAW (1):
+                A zone that contains data that needs further
+                processing before it is considered generally
+                ready for consumption and analytics workloads.
+            CURATED (2):
+                A zone that contains data that is considered
+                to be ready for broader consumption and
+                analytics workloads. Curated structured data
+                stored in Cloud Storage must conform to certain
+                file formats (parquet, avro and orc) and
+                organized in a hive-compatible directory layout.
+        """
+        TYPE_UNSPECIFIED = 0
+        RAW = 1
+        CURATED = 2
+
+    class ResourceSpec(proto.Message):
+        r"""Settings for resources attached as assets within a zone.
+
+        Attributes:
+            location_type (google.cloud.dataplex_v1.types.Zone.ResourceSpec.LocationType):
+                Required. Immutable. The location type of the
+                resources that are allowed to be attached to the
+                assets within this zone.
+        """
+        class LocationType(proto.Enum):
+            r"""Location type of the resources attached to a zone.
+
+            Values:
+                LOCATION_TYPE_UNSPECIFIED (0):
+                    Unspecified location type.
+                SINGLE_REGION (1):
+                    Resources that are associated with a single
+                    region.
+                MULTI_REGION (2):
+                    Resources that are associated with a
+                    multi-region location.
+            """
+            LOCATION_TYPE_UNSPECIFIED = 0
+            SINGLE_REGION = 1
+            MULTI_REGION = 2
+
+        location_type: 'Zone.ResourceSpec.LocationType' = proto.Field(
+            proto.ENUM,
+            number=1,
+            enum='Zone.ResourceSpec.LocationType',
+        )
+
+    class DiscoverySpec(proto.Message):
+        r"""Settings to manage the metadata discovery and publishing in a
+        zone.
+
+
+        .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
+
+        Attributes:
+            enabled (bool):
+                Required. Whether discovery is enabled.
+            include_patterns (MutableSequence[str]):
+                Optional. The list of patterns to apply for
+                selecting data to include during discovery if
+                only a subset of the data should considered. For
+                Cloud Storage bucket assets, these are
+                interpreted as glob patterns used to match
+                object names. For BigQuery dataset assets, these
+                are interpreted as patterns to match table
+                names.
+            exclude_patterns (MutableSequence[str]):
+                Optional. The list of patterns to apply for
+                selecting data to exclude during discovery.  For
+                Cloud Storage bucket assets, these are
+                interpreted as glob patterns used to match
+                object names. For BigQuery dataset assets, these
+                are interpreted as patterns to match table
+                names.
+            csv_options (google.cloud.dataplex_v1.types.Zone.DiscoverySpec.CsvOptions):
+                Optional. Configuration for CSV data.
+            json_options (google.cloud.dataplex_v1.types.Zone.DiscoverySpec.JsonOptions):
+                Optional. Configuration for Json data.
+            schedule (str):
+                Optional. Cron schedule (https://en.wikipedia.org/wiki/Cron)
+                for running discovery periodically. Successive discovery
+                runs must be scheduled at least 60 minutes apart. The
+                default value is to run discovery every 60 minutes. To
+                explicitly set a timezone to the cron tab, apply a prefix in
+                the cron tab: "CRON_TZ=${IANA_TIME_ZONE}" or
+                TZ=${IANA_TIME_ZONE}". The ${IANA_TIME_ZONE} may only be a
+                valid string from IANA time zone database. For example,
+                \`CRON_TZ=America/New_York 1
+
+                -
+
+                   -
+
+                      -  \*\ ``, or``\ TZ=America/New_York 1 \* \* \* \*`.
+
+                This field is a member of `oneof`_ ``trigger``.
+        """
+
+        class CsvOptions(proto.Message):
+            r"""Describe CSV and similar semi-structured data formats.
+
+            Attributes:
+                header_rows (int):
+                    Optional. The number of rows to interpret as
+                    header rows that should be skipped when reading
+                    data rows.
+                delimiter (str):
+                    Optional. The delimiter being used to
+                    separate values. This defaults to ','.
+                encoding (str):
+                    Optional. The character encoding of the data.
+                    The default is UTF-8.
+                disable_type_inference (bool):
+                    Optional. Whether to disable the inference of
+                    data type for CSV data. If true, all columns
+                    will be registered as strings.
+            """
+
+            header_rows: int = proto.Field(
+                proto.INT32,
+                number=1,
+            )
+            delimiter: str = proto.Field(
+                proto.STRING,
+                number=2,
+            )
+            encoding: str = proto.Field(
+                proto.STRING,
+                number=3,
+            )
+            disable_type_inference: bool = proto.Field(
+                proto.BOOL,
+                number=4,
+            )
+
+        class JsonOptions(proto.Message):
+            r"""Describe JSON data format.
+
+            Attributes:
+                encoding (str):
+                    Optional. The character encoding of the data.
+                    The default is UTF-8.
+                disable_type_inference (bool):
+                    Optional. Whether to disable the inference of
+                    data type for Json data. If true, all columns
+                    will be registered as their primitive types
+                    (strings, number or boolean).
+            """
+
+            encoding: str = proto.Field(
+                proto.STRING,
+                number=1,
+            )
+            disable_type_inference: bool = proto.Field(
+                proto.BOOL,
+                number=2,
+            )
+
+        enabled: bool = proto.Field(
+            proto.BOOL,
+            number=1,
+        )
+        include_patterns: MutableSequence[str] = proto.RepeatedField(
+            proto.STRING,
+            number=2,
+        )
+        exclude_patterns: MutableSequence[str] = proto.RepeatedField(
+            proto.STRING,
+            number=3,
+        )
+        csv_options: 'Zone.DiscoverySpec.CsvOptions' = proto.Field(
+            proto.MESSAGE,
+            number=4,
+            message='Zone.DiscoverySpec.CsvOptions',
+        )
+        json_options: 'Zone.DiscoverySpec.JsonOptions' = proto.Field(
+            proto.MESSAGE,
+            number=5,
+            message='Zone.DiscoverySpec.JsonOptions',
+        )
+        schedule: str = proto.Field(
+            proto.STRING,
+            number=10,
+            oneof='trigger',
+        )
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    display_name: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+    uid: str = proto.Field(
+        proto.STRING,
+        number=3,
+    )
+    create_time: timestamp_pb2.Timestamp = proto.Field(
+        proto.MESSAGE,
+        number=4,
+        message=timestamp_pb2.Timestamp,
+    )
+    update_time: timestamp_pb2.Timestamp = proto.Field(
+        proto.MESSAGE,
+        number=5,
+        message=timestamp_pb2.Timestamp,
+    )
+    labels: MutableMapping[str, str] = proto.MapField(
+        proto.STRING,
+        proto.STRING,
+        number=6,
+    )
+    description: str = proto.Field(
+        proto.STRING,
+        number=7,
+    )
+    state: 'State' = proto.Field(
+        proto.ENUM,
+        number=8,
+        enum='State',
+    )
+    type_: Type = proto.Field(
+        proto.ENUM,
+        number=9,
+        enum=Type,
+    )
+    discovery_spec: DiscoverySpec = proto.Field(
+        proto.MESSAGE,
+        number=103,
+        message=DiscoverySpec,
+    )
+    resource_spec: ResourceSpec = proto.Field(
+        proto.MESSAGE,
+        number=104,
+        message=ResourceSpec,
+    )
+    asset_status: 'AssetStatus' = proto.Field(
+        proto.MESSAGE,
+        number=105,
+        message='AssetStatus',
+    )
+
+
+class Action(proto.Message):
+    r"""Action represents an issue requiring administrator action for
+    resolution.
+
+    This message has `oneof`_ fields (mutually exclusive fields).
+    For each oneof, at most one member field can be set at the same time.
+    Setting any member of the oneof automatically clears all other
+    members.
+
+    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
+
+    Attributes:
+        category (google.cloud.dataplex_v1.types.Action.Category):
+            The category of issue associated with the
+            action.
+        issue (str):
+            Detailed description of the issue requiring
+            action.
+        detect_time (google.protobuf.timestamp_pb2.Timestamp):
+            The time that the issue was detected.
+        name (str):
+            Output only. The relative resource name of the action, of
+            the form:
+            ``projects/{project}/locations/{location}/lakes/{lake}/actions/{action}``
+            ``projects/{project}/locations/{location}/lakes/{lake}/zones/{zone}/actions/{action}``
+            ``projects/{project}/locations/{location}/lakes/{lake}/zones/{zone}/assets/{asset}/actions/{action}``.
+        lake (str):
+            Output only. The relative resource name of the lake, of the
+            form:
+            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}``.
+        zone (str):
+            Output only. The relative resource name of the zone, of the
+            form:
+            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}``.
+        asset (str):
+            Output only. The relative resource name of the asset, of the
+            form:
+            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/assets/{asset_id}``.
+        data_locations (MutableSequence[str]):
+            The list of data locations associated with this action.
+            Cloud Storage locations are represented as URI paths(E.g.
+            ``gs://bucket/table1/year=2020/month=Jan/``). BigQuery
+            locations refer to resource names(E.g.
+            ``bigquery.googleapis.com/projects/project-id/datasets/dataset-id``).
+        invalid_data_format (google.cloud.dataplex_v1.types.Action.InvalidDataFormat):
+            Details for issues related to invalid or
+            unsupported data formats.
+
+            This field is a member of `oneof`_ ``details``.
+        incompatible_data_schema (google.cloud.dataplex_v1.types.Action.IncompatibleDataSchema):
+            Details for issues related to incompatible
+            schemas detected within data.
+
+            This field is a member of `oneof`_ ``details``.
+        invalid_data_partition (google.cloud.dataplex_v1.types.Action.InvalidDataPartition):
+            Details for issues related to invalid or
+            unsupported data partition structure.
+
+            This field is a member of `oneof`_ ``details``.
+        missing_data (google.cloud.dataplex_v1.types.Action.MissingData):
+            Details for issues related to absence of data
+            within managed resources.
+
+            This field is a member of `oneof`_ ``details``.
+        missing_resource (google.cloud.dataplex_v1.types.Action.MissingResource):
+            Details for issues related to absence of a
+            managed resource.
+
+            This field is a member of `oneof`_ ``details``.
+        unauthorized_resource (google.cloud.dataplex_v1.types.Action.UnauthorizedResource):
+            Details for issues related to lack of
+            permissions to access data resources.
+
+            This field is a member of `oneof`_ ``details``.
+        failed_security_policy_apply (google.cloud.dataplex_v1.types.Action.FailedSecurityPolicyApply):
+            Details for issues related to applying
+            security policy.
+
+            This field is a member of `oneof`_ ``details``.
+        invalid_data_organization (google.cloud.dataplex_v1.types.Action.InvalidDataOrganization):
+            Details for issues related to invalid data
+            arrangement.
+
+            This field is a member of `oneof`_ ``details``.
+    """
+    class Category(proto.Enum):
+        r"""The category of issues.
+
+        Values:
+            CATEGORY_UNSPECIFIED (0):
+                Unspecified category.
+            RESOURCE_MANAGEMENT (1):
+                Resource management related issues.
+            SECURITY_POLICY (2):
+                Security policy related issues.
+            DATA_DISCOVERY (3):
+                Data and discovery related issues.
+        """
+        CATEGORY_UNSPECIFIED = 0
+        RESOURCE_MANAGEMENT = 1
+        SECURITY_POLICY = 2
+        DATA_DISCOVERY = 3
+
+    class MissingResource(proto.Message):
+        r"""Action details for resource references in assets that cannot
+        be located.
+
+        """
+
+    class UnauthorizedResource(proto.Message):
+        r"""Action details for unauthorized resource issues raised to
+        indicate that the service account associated with the lake
+        instance is not authorized to access or manage the resource
+        associated with an asset.
+
+        """
+
+    class FailedSecurityPolicyApply(proto.Message):
+        r"""Failed to apply security policy to the managed resource(s)
+        under a lake, zone or an asset. For a lake or zone resource, one
+        or more underlying assets has a failure applying security policy
+        to the associated managed resource.
+
+        Attributes:
+            asset (str):
+                Resource name of one of the assets with
+                failing security policy application. Populated
+                for a lake or zone resource only.
+        """
+
+        asset: str = proto.Field(
+            proto.STRING,
+            number=1,
+        )
+
+    class InvalidDataFormat(proto.Message):
+        r"""Action details for invalid or unsupported data files detected
+        by discovery.
+
+        Attributes:
+            sampled_data_locations (MutableSequence[str]):
+                The list of data locations sampled and used
+                for format/schema inference.
+            expected_format (str):
+                The expected data format of the entity.
+            new_format (str):
+                The new unexpected data format within the
+                entity.
+        """
+
+        sampled_data_locations: MutableSequence[str] = proto.RepeatedField(
+            proto.STRING,
+            number=1,
+        )
+        expected_format: str = proto.Field(
+            proto.STRING,
+            number=2,
+        )
+        new_format: str = proto.Field(
+            proto.STRING,
+            number=3,
+        )
+
+    class IncompatibleDataSchema(proto.Message):
+        r"""Action details for incompatible schemas detected by
+        discovery.
+
+        Attributes:
+            table (str):
+                The name of the table containing invalid
+                data.
+            existing_schema (str):
+                The existing and expected schema of the
+                table. The schema is provided as a JSON
+                formatted structure listing columns and data
+                types.
+            new_schema (str):
+                The new and incompatible schema within the
+                table. The schema is provided as a JSON
+                formatted structured listing columns and data
+                types.
+            sampled_data_locations (MutableSequence[str]):
+                The list of data locations sampled and used
+                for format/schema inference.
+            schema_change (google.cloud.dataplex_v1.types.Action.IncompatibleDataSchema.SchemaChange):
+                Whether the action relates to a schema that
+                is incompatible or modified.
+        """
+        class SchemaChange(proto.Enum):
+            r"""Whether the action relates to a schema that is incompatible
+            or modified.
+
+            Values:
+                SCHEMA_CHANGE_UNSPECIFIED (0):
+                    Schema change unspecified.
+                INCOMPATIBLE (1):
+                    Newly discovered schema is incompatible with
+                    existing schema.
+                MODIFIED (2):
+                    Newly discovered schema has changed from
+                    existing schema for data in a curated zone.
+            """
+            SCHEMA_CHANGE_UNSPECIFIED = 0
+            INCOMPATIBLE = 1
+            MODIFIED = 2
+
+        table: str = proto.Field(
+            proto.STRING,
+            number=1,
+        )
+        existing_schema: str = proto.Field(
+            proto.STRING,
+            number=2,
+        )
+        new_schema: str = proto.Field(
+            proto.STRING,
+            number=3,
+        )
+        sampled_data_locations: MutableSequence[str] = proto.RepeatedField(
+            proto.STRING,
+            number=4,
+        )
+        schema_change: 'Action.IncompatibleDataSchema.SchemaChange' = proto.Field(
+            proto.ENUM,
+            number=5,
+            enum='Action.IncompatibleDataSchema.SchemaChange',
+        )
+
+    class InvalidDataPartition(proto.Message):
+        r"""Action details for invalid or unsupported partitions detected
+        by discovery.
+
+        Attributes:
+            expected_structure (google.cloud.dataplex_v1.types.Action.InvalidDataPartition.PartitionStructure):
+                The issue type of InvalidDataPartition.
+        """
+        class PartitionStructure(proto.Enum):
+            r"""The expected partition structure.
+
+            Values:
+                PARTITION_STRUCTURE_UNSPECIFIED (0):
+                    PartitionStructure unspecified.
+                CONSISTENT_KEYS (1):
+                    Consistent hive-style partition definition
+                    (both raw and curated zone).
+                HIVE_STYLE_KEYS (2):
+                    Hive style partition definition (curated zone
+                    only).
+            """
+            PARTITION_STRUCTURE_UNSPECIFIED = 0
+            CONSISTENT_KEYS = 1
+            HIVE_STYLE_KEYS = 2
+
+        expected_structure: 'Action.InvalidDataPartition.PartitionStructure' = proto.Field(
+            proto.ENUM,
+            number=1,
+            enum='Action.InvalidDataPartition.PartitionStructure',
+        )
+
+    class MissingData(proto.Message):
+        r"""Action details for absence of data detected by discovery.
+        """
+
+    class InvalidDataOrganization(proto.Message):
+        r"""Action details for invalid data arrangement.
+        """
+
+    category: Category = proto.Field(
+        proto.ENUM,
+        number=1,
+        enum=Category,
+    )
+    issue: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+    detect_time: timestamp_pb2.Timestamp = proto.Field(
+        proto.MESSAGE,
+        number=4,
+        message=timestamp_pb2.Timestamp,
+    )
+    name: str = proto.Field(
+        proto.STRING,
+        number=5,
+    )
+    lake: str = proto.Field(
+        proto.STRING,
+        number=6,
+    )
+    zone: str = proto.Field(
+        proto.STRING,
+        number=7,
+    )
+    asset: str = proto.Field(
+        proto.STRING,
+        number=8,
+    )
+    data_locations: MutableSequence[str] = proto.RepeatedField(
+        proto.STRING,
+        number=9,
+    )
+    invalid_data_format: InvalidDataFormat = proto.Field(
+        proto.MESSAGE,
+        number=10,
+        oneof='details',
+        message=InvalidDataFormat,
+    )
+    incompatible_data_schema: IncompatibleDataSchema = proto.Field(
+        proto.MESSAGE,
+        number=11,
+        oneof='details',
+        message=IncompatibleDataSchema,
+    )
+    invalid_data_partition: InvalidDataPartition = proto.Field(
+        proto.MESSAGE,
+        number=12,
+        oneof='details',
+        message=InvalidDataPartition,
+    )
+    missing_data: MissingData = proto.Field(
+        proto.MESSAGE,
+        number=13,
+        oneof='details',
+        message=MissingData,
+    )
+    missing_resource: MissingResource = proto.Field(
+        proto.MESSAGE,
+        number=14,
+        oneof='details',
+        message=MissingResource,
+    )
+    unauthorized_resource: UnauthorizedResource = proto.Field(
+        proto.MESSAGE,
+        number=15,
+        oneof='details',
+        message=UnauthorizedResource,
+    )
+    failed_security_policy_apply: FailedSecurityPolicyApply = proto.Field(
+        proto.MESSAGE,
+        number=21,
+        oneof='details',
+        message=FailedSecurityPolicyApply,
+    )
+    invalid_data_organization: InvalidDataOrganization = proto.Field(
+        proto.MESSAGE,
+        number=22,
+        oneof='details',
+        message=InvalidDataOrganization,
+    )
+
+
+class Asset(proto.Message):
+    r"""An asset represents a cloud resource that is being managed
+    within a lake as a member of a zone.
+
+    Attributes:
+        name (str):
+            Output only. The relative resource name of the asset, of the
+            form:
+            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/assets/{asset_id}``.
+        display_name (str):
+            Optional. User friendly display name.
+        uid (str):
+            Output only. System generated globally unique
+            ID for the asset. This ID will be different if
+            the asset is deleted and re-created with the
+            same name.
+        create_time (google.protobuf.timestamp_pb2.Timestamp):
+            Output only. The time when the asset was
+            created.
+        update_time (google.protobuf.timestamp_pb2.Timestamp):
+            Output only. The time when the asset was last
+            updated.
+        labels (MutableMapping[str, str]):
+            Optional. User defined labels for the asset.
+        description (str):
+            Optional. Description of the asset.
+        state (google.cloud.dataplex_v1.types.State):
+            Output only. Current state of the asset.
+        resource_spec (google.cloud.dataplex_v1.types.Asset.ResourceSpec):
+            Required. Specification of the resource that
+            is referenced by this asset.
+        resource_status (google.cloud.dataplex_v1.types.Asset.ResourceStatus):
+            Output only. Status of the resource
+            referenced by this asset.
+        security_status (google.cloud.dataplex_v1.types.Asset.SecurityStatus):
+            Output only. Status of the security policy
+            applied to resource referenced by this asset.
+        discovery_spec (google.cloud.dataplex_v1.types.Asset.DiscoverySpec):
+            Optional. Specification of the discovery
+            feature applied to data referenced by this
+            asset. When this spec is left unset, the asset
+            will use the spec set on the parent zone.
+        discovery_status (google.cloud.dataplex_v1.types.Asset.DiscoveryStatus):
+            Output only. Status of the discovery feature
+            applied to data referenced by this asset.
+    """
+
+    class SecurityStatus(proto.Message):
+        r"""Security policy status of the asset. Data security policy,
+        i.e., readers, writers & owners, should be specified in the
+        lake/zone/asset IAM policy.
+
+        Attributes:
+            state (google.cloud.dataplex_v1.types.Asset.SecurityStatus.State):
+                The current state of the security policy
+                applied to the attached resource.
+            message (str):
+                Additional information about the current
+                state.
+            update_time (google.protobuf.timestamp_pb2.Timestamp):
+                Last update time of the status.
+        """
+        class State(proto.Enum):
+            r"""The state of the security policy.
+
+            Values:
+                STATE_UNSPECIFIED (0):
+                    State unspecified.
+                READY (1):
+                    Security policy has been successfully applied
+                    to the attached resource.
+                APPLYING (2):
+                    Security policy is in the process of being
+                    applied to the attached resource.
+                ERROR (3):
+                    Security policy could not be applied to the
+                    attached resource due to errors.
+            """
+            STATE_UNSPECIFIED = 0
+            READY = 1
+            APPLYING = 2
+            ERROR = 3
+
+        state: 'Asset.SecurityStatus.State' = proto.Field(
+            proto.ENUM,
+            number=1,
+            enum='Asset.SecurityStatus.State',
+        )
+        message: str = proto.Field(
+            proto.STRING,
+            number=2,
+        )
+        update_time: timestamp_pb2.Timestamp = proto.Field(
+            proto.MESSAGE,
+            number=3,
+            message=timestamp_pb2.Timestamp,
+        )
+
+    class DiscoverySpec(proto.Message):
+        r"""Settings to manage the metadata discovery and publishing for
+        an asset.
+
+
+        .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
+
+        Attributes:
+            enabled (bool):
+                Optional. Whether discovery is enabled.
+            include_patterns (MutableSequence[str]):
+                Optional. The list of patterns to apply for
+                selecting data to include during discovery if
+                only a subset of the data should considered.
+                For Cloud Storage bucket assets, these are
+                interpreted as glob patterns used to match
+                object names. For BigQuery dataset assets, these
+                are interpreted as patterns to match table
+                names.
+            exclude_patterns (MutableSequence[str]):
+                Optional. The list of patterns to apply for
+                selecting data to exclude during discovery.  For
+                Cloud Storage bucket assets, these are
+                interpreted as glob patterns used to match
+                object names. For BigQuery dataset assets, these
+                are interpreted as patterns to match table
+                names.
+            csv_options (google.cloud.dataplex_v1.types.Asset.DiscoverySpec.CsvOptions):
+                Optional. Configuration for CSV data.
+            json_options (google.cloud.dataplex_v1.types.Asset.DiscoverySpec.JsonOptions):
+                Optional. Configuration for Json data.
+            schedule (str):
+                Optional. Cron schedule (https://en.wikipedia.org/wiki/Cron)
+                for running discovery periodically. Successive discovery
+                runs must be scheduled at least 60 minutes apart. The
+                default value is to run discovery every 60 minutes. To
+                explicitly set a timezone to the cron tab, apply a prefix in
+                the cron tab: "CRON_TZ=${IANA_TIME_ZONE}" or
+                TZ=${IANA_TIME_ZONE}". The ${IANA_TIME_ZONE} may only be a
+                valid string from IANA time zone database. For example,
+                \`CRON_TZ=America/New_York 1
+
+                -
+
+                   -
+
+                      -  \*\ ``, or``\ TZ=America/New_York 1 \* \* \* \*`.
+
+                This field is a member of `oneof`_ ``trigger``.
+        """
+
+        class CsvOptions(proto.Message):
+            r"""Describe CSV and similar semi-structured data formats.
+
+            Attributes:
+                header_rows (int):
+                    Optional. The number of rows to interpret as
+                    header rows that should be skipped when reading
+                    data rows.
+                delimiter (str):
+                    Optional. The delimiter being used to
+                    separate values. This defaults to ','.
+                encoding (str):
+                    Optional. The character encoding of the data.
+                    The default is UTF-8.
+                disable_type_inference (bool):
+                    Optional. Whether to disable the inference of
+                    data type for CSV data. If true, all columns
+                    will be registered as strings.
+            """
+
+            header_rows: int = proto.Field(
+                proto.INT32,
+                number=1,
+            )
+            delimiter: str = proto.Field(
+                proto.STRING,
+                number=2,
+            )
+            encoding: str = proto.Field(
+                proto.STRING,
+                number=3,
+            )
+            disable_type_inference: bool = proto.Field(
+                proto.BOOL,
+                number=4,
+            )
+
+        class JsonOptions(proto.Message):
+            r"""Describe JSON data format.
+
+            Attributes:
+                encoding (str):
+                    Optional. The character encoding of the data.
+                    The default is UTF-8.
+                disable_type_inference (bool):
+                    Optional. Whether to disable the inference of
+                    data type for Json data. If true, all columns
+                    will be registered as their primitive types
+                    (strings, number or boolean).
+            """
+
+            encoding: str = proto.Field(
+                proto.STRING,
+                number=1,
+            )
+            disable_type_inference: bool = proto.Field(
+                proto.BOOL,
+                number=2,
+            )
+
+        enabled: bool = proto.Field(
+            proto.BOOL,
+            number=1,
+        )
+        include_patterns: MutableSequence[str] = proto.RepeatedField(
+            proto.STRING,
+            number=2,
+        )
+        exclude_patterns: MutableSequence[str] = proto.RepeatedField(
+            proto.STRING,
+            number=3,
+        )
+        csv_options: 'Asset.DiscoverySpec.CsvOptions' = proto.Field(
+            proto.MESSAGE,
+            number=4,
+            message='Asset.DiscoverySpec.CsvOptions',
+        )
+        json_options: 'Asset.DiscoverySpec.JsonOptions' = proto.Field(
+            proto.MESSAGE,
+            number=5,
+            message='Asset.DiscoverySpec.JsonOptions',
+        )
+        schedule: str = proto.Field(
+            proto.STRING,
+            number=10,
+            oneof='trigger',
+        )
+
+    class ResourceSpec(proto.Message):
+        r"""Identifies the cloud resource that is referenced by this
+        asset.
+
+        Attributes:
+            name (str):
+                Immutable. Relative name of the cloud resource that contains
+                the data that is being managed within a lake. For example:
+                ``projects/{project_number}/buckets/{bucket_id}``
+                ``projects/{project_number}/datasets/{dataset_id}``
+            type_ (google.cloud.dataplex_v1.types.Asset.ResourceSpec.Type):
+                Required. Immutable. Type of resource.
+            read_access_mode (google.cloud.dataplex_v1.types.Asset.ResourceSpec.AccessMode):
+                Optional. Determines how read permissions are
+                handled for each asset and their associated
+                tables. Only available to storage buckets
+                assets.
+        """
+        class Type(proto.Enum):
+            r"""Type of resource.
+
+            Values:
+                TYPE_UNSPECIFIED (0):
+                    Type not specified.
+                STORAGE_BUCKET (1):
+                    Cloud Storage bucket.
+                BIGQUERY_DATASET (2):
+                    BigQuery dataset.
+            """
+            TYPE_UNSPECIFIED = 0
+            STORAGE_BUCKET = 1
+            BIGQUERY_DATASET = 2
+
+        class AccessMode(proto.Enum):
+            r"""Access Mode determines how data stored within the resource is
+            read. This is only applicable to storage bucket assets.
+
+            Values:
+                ACCESS_MODE_UNSPECIFIED (0):
+                    Access mode unspecified.
+                DIRECT (1):
+                    Default. Data is accessed directly using
+                    storage APIs.
+                MANAGED (2):
+                    Data is accessed through a managed interface
+                    using BigQuery APIs.
+            """
+            ACCESS_MODE_UNSPECIFIED = 0
+            DIRECT = 1
+            MANAGED = 2
+
+        name: str = proto.Field(
+            proto.STRING,
+            number=1,
+        )
+        type_: 'Asset.ResourceSpec.Type' = proto.Field(
+            proto.ENUM,
+            number=2,
+            enum='Asset.ResourceSpec.Type',
+        )
+        read_access_mode: 'Asset.ResourceSpec.AccessMode' = proto.Field(
+            proto.ENUM,
+            number=5,
+            enum='Asset.ResourceSpec.AccessMode',
+        )
+
+    class ResourceStatus(proto.Message):
+        r"""Status of the resource referenced by an asset.
+
+        Attributes:
+            state (google.cloud.dataplex_v1.types.Asset.ResourceStatus.State):
+                The current state of the managed resource.
+            message (str):
+                Additional information about the current
+                state.
+            update_time (google.protobuf.timestamp_pb2.Timestamp):
+                Last update time of the status.
+            managed_access_identity (str):
+                Output only. Service account associated with
+                the BigQuery Connection.
+        """
+        class State(proto.Enum):
+            r"""The state of a resource.
+
+            Values:
+                STATE_UNSPECIFIED (0):
+                    State unspecified.
+                READY (1):
+                    Resource does not have any errors.
+                ERROR (2):
+                    Resource has errors.
+            """
+            STATE_UNSPECIFIED = 0
+            READY = 1
+            ERROR = 2
+
+        state: 'Asset.ResourceStatus.State' = proto.Field(
+            proto.ENUM,
+            number=1,
+            enum='Asset.ResourceStatus.State',
+        )
+        message: str = proto.Field(
+            proto.STRING,
+            number=2,
+        )
+        update_time: timestamp_pb2.Timestamp = proto.Field(
+            proto.MESSAGE,
+            number=3,
+            message=timestamp_pb2.Timestamp,
+        )
+        managed_access_identity: str = proto.Field(
+            proto.STRING,
+            number=4,
+        )
+
+    class DiscoveryStatus(proto.Message):
+        r"""Status of discovery for an asset.
+
+        Attributes:
+            state (google.cloud.dataplex_v1.types.Asset.DiscoveryStatus.State):
+                The current status of the discovery feature.
+            message (str):
+                Additional information about the current
+                state.
+            update_time (google.protobuf.timestamp_pb2.Timestamp):
+                Last update time of the status.
+            last_run_time (google.protobuf.timestamp_pb2.Timestamp):
+                The start time of the last discovery run.
+            stats (google.cloud.dataplex_v1.types.Asset.DiscoveryStatus.Stats):
+                Data Stats of the asset reported by
+                discovery.
+            last_run_duration (google.protobuf.duration_pb2.Duration):
+                The duration of the last discovery run.
+        """
+        class State(proto.Enum):
+            r"""Current state of discovery.
+
+            Values:
+                STATE_UNSPECIFIED (0):
+                    State is unspecified.
+                SCHEDULED (1):
+                    Discovery for the asset is scheduled.
+                IN_PROGRESS (2):
+                    Discovery for the asset is running.
+                PAUSED (3):
+                    Discovery for the asset is currently paused
+                    (e.g. due to a lack of available resources). It
+                    will be automatically resumed.
+                DISABLED (5):
+                    Discovery for the asset is disabled.
+            """
+            STATE_UNSPECIFIED = 0
+            SCHEDULED = 1
+            IN_PROGRESS = 2
+            PAUSED = 3
+            DISABLED = 5
+
+        class Stats(proto.Message):
+            r"""The aggregated data statistics for the asset reported by
+            discovery.
+
+            Attributes:
+                data_items (int):
+                    The count of data items within the referenced
+                    resource.
+                data_size (int):
+                    The number of stored data bytes within the
+                    referenced resource.
+                tables (int):
+                    The count of table entities within the
+                    referenced resource.
+                filesets (int):
+                    The count of fileset entities within the
+                    referenced resource.
+            """
+
+            data_items: int = proto.Field(
+                proto.INT64,
+                number=1,
+            )
+            data_size: int = proto.Field(
+                proto.INT64,
+                number=2,
+            )
+            tables: int = proto.Field(
+                proto.INT64,
+                number=3,
+            )
+            filesets: int = proto.Field(
+                proto.INT64,
+                number=4,
+            )
+
+        state: 'Asset.DiscoveryStatus.State' = proto.Field(
+            proto.ENUM,
+            number=1,
+            enum='Asset.DiscoveryStatus.State',
+        )
+        message: str = proto.Field(
+            proto.STRING,
+            number=2,
+        )
+        update_time: timestamp_pb2.Timestamp = proto.Field(
+            proto.MESSAGE,
+            number=3,
+            message=timestamp_pb2.Timestamp,
+        )
+        last_run_time: timestamp_pb2.Timestamp = proto.Field(
+            proto.MESSAGE,
+            number=4,
+            message=timestamp_pb2.Timestamp,
+        )
+        stats: 'Asset.DiscoveryStatus.Stats' = proto.Field(
+            proto.MESSAGE,
+            number=6,
+            message='Asset.DiscoveryStatus.Stats',
+        )
+        last_run_duration: duration_pb2.Duration = proto.Field(
+            proto.MESSAGE,
+            number=7,
+            message=duration_pb2.Duration,
+        )
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    display_name: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+    uid: str = proto.Field(
+        proto.STRING,
+        number=3,
+    )
+    create_time: timestamp_pb2.Timestamp = proto.Field(
+        proto.MESSAGE,
+        number=4,
+        message=timestamp_pb2.Timestamp,
+    )
+    update_time: timestamp_pb2.Timestamp = proto.Field(
+        proto.MESSAGE,
+        number=5,
+        message=timestamp_pb2.Timestamp,
+    )
+    labels: MutableMapping[str, str] = proto.MapField(
+        proto.STRING,
+        proto.STRING,
+        number=6,
+    )
+    description: str = proto.Field(
+        proto.STRING,
+        number=7,
+    )
+    state: 'State' = proto.Field(
+        proto.ENUM,
+        number=8,
+        enum='State',
+    )
+    resource_spec: ResourceSpec = proto.Field(
+        proto.MESSAGE,
+        number=100,
+        message=ResourceSpec,
+    )
+    resource_status: ResourceStatus = proto.Field(
+        proto.MESSAGE,
+        number=101,
+        message=ResourceStatus,
+    )
+    security_status: SecurityStatus = proto.Field(
+        proto.MESSAGE,
+        number=103,
+        message=SecurityStatus,
+    )
+    discovery_spec: DiscoverySpec = proto.Field(
+        proto.MESSAGE,
+        number=106,
+        message=DiscoverySpec,
+    )
+    discovery_status: DiscoveryStatus = proto.Field(
+        proto.MESSAGE,
+        number=107,
+        message=DiscoveryStatus,
+    )
+
+
+__all__ = tuple(sorted(__protobuf__.manifest))
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/security.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/security.py
new file mode 100644
index 000000000000..3fa729be6197
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/security.py
@@ -0,0 +1,90 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from __future__ import annotations
+
+from typing import MutableMapping, MutableSequence
+
+import proto  # type: ignore
+
+
+__protobuf__ = proto.module(
+    package='google.cloud.dataplex.v1',
+    manifest={
+        'ResourceAccessSpec',
+        'DataAccessSpec',
+    },
+)
+
+
+class ResourceAccessSpec(proto.Message):
+    r"""ResourceAccessSpec holds the access control configuration to
+    be enforced on the resources, for example, Cloud Storage bucket,
+    BigQuery dataset, BigQuery table.
+
+    Attributes:
+        readers (MutableSequence[str]):
+            Optional. The format of strings follows the
+            pattern followed by IAM in the bindings.
+            user:{email}, serviceAccount:{email}
+            group:{email}. The set of principals to be
+            granted reader role on the resource.
+        writers (MutableSequence[str]):
+            Optional. The set of principals to be granted
+            writer role on the resource.
+        owners (MutableSequence[str]):
+            Optional. The set of principals to be granted
+            owner role on the resource.
+    """
+
+    readers: MutableSequence[str] = proto.RepeatedField(
+        proto.STRING,
+        number=1,
+    )
+    writers: MutableSequence[str] = proto.RepeatedField(
+        proto.STRING,
+        number=2,
+    )
+    owners: MutableSequence[str] = proto.RepeatedField(
+        proto.STRING,
+        number=3,
+    )
+
+
+class DataAccessSpec(proto.Message):
+    r"""DataAccessSpec holds the access control configuration to be
+    enforced on data stored within resources (eg: rows, columns in
+    BigQuery Tables). When associated with data, the data is only
+    accessible to principals explicitly granted access through the
+    DataAccessSpec. Principals with access to the containing
+    resource are not implicitly granted access.
+
+    Attributes:
+        readers (MutableSequence[str]):
+            Optional. The format of strings follows the
+            pattern followed by IAM in the bindings.
+            user:{email}, serviceAccount:{email}
+            group:{email}. The set of principals to be
+            granted reader role on data stored within
+            resources.
+    """
+
+    readers: MutableSequence[str] = proto.RepeatedField(
+        proto.STRING,
+        number=1,
+    )
+
+
+__all__ = tuple(sorted(__protobuf__.manifest))
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/service.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/service.py
new file mode 100644
index 000000000000..5493ed665a56
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/service.py
@@ -0,0 +1,1395 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from __future__ import annotations
+
+from typing import MutableMapping, MutableSequence
+
+import proto  # type: ignore
+
+from google.cloud.dataplex_v1.types import analyze
+from google.cloud.dataplex_v1.types import resources
+from google.cloud.dataplex_v1.types import tasks as gcd_tasks
+from google.protobuf import field_mask_pb2  # type: ignore
+from google.protobuf import timestamp_pb2  # type: ignore
+
+
+__protobuf__ = proto.module(
+    package='google.cloud.dataplex.v1',
+    manifest={
+        'CreateLakeRequest',
+        'UpdateLakeRequest',
+        'DeleteLakeRequest',
+        'ListLakesRequest',
+        'ListLakesResponse',
+        'ListLakeActionsRequest',
+        'ListActionsResponse',
+        'GetLakeRequest',
+        'CreateZoneRequest',
+        'UpdateZoneRequest',
+        'DeleteZoneRequest',
+        'ListZonesRequest',
+        'ListZonesResponse',
+        'ListZoneActionsRequest',
+        'GetZoneRequest',
+        'CreateAssetRequest',
+        'UpdateAssetRequest',
+        'DeleteAssetRequest',
+        'ListAssetsRequest',
+        'ListAssetsResponse',
+        'ListAssetActionsRequest',
+        'GetAssetRequest',
+        'OperationMetadata',
+        'CreateTaskRequest',
+        'UpdateTaskRequest',
+        'DeleteTaskRequest',
+        'ListTasksRequest',
+        'ListTasksResponse',
+        'GetTaskRequest',
+        'GetJobRequest',
+        'RunTaskRequest',
+        'RunTaskResponse',
+        'ListJobsRequest',
+        'ListJobsResponse',
+        'CancelJobRequest',
+        'CreateEnvironmentRequest',
+        'UpdateEnvironmentRequest',
+        'DeleteEnvironmentRequest',
+        'ListEnvironmentsRequest',
+        'ListEnvironmentsResponse',
+        'GetEnvironmentRequest',
+        'ListSessionsRequest',
+        'ListSessionsResponse',
+    },
+)
+
+
+class CreateLakeRequest(proto.Message):
+    r"""Create lake request.
+
+    Attributes:
+        parent (str):
+            Required. The resource name of the lake location, of the
+            form: projects/{project_number}/locations/{location_id}
+            where ``location_id`` refers to a GCP region.
+        lake_id (str):
+            Required. Lake identifier. This ID will be used to generate
+            names such as database and dataset names when publishing
+            metadata to Hive Metastore and BigQuery.
+
+            -  Must contain only lowercase letters, numbers and hyphens.
+            -  Must start with a letter.
+            -  Must end with a number or a letter.
+            -  Must be between 1-63 characters.
+            -  Must be unique within the customer project / location.
+        lake (google.cloud.dataplex_v1.types.Lake):
+            Required. Lake resource
+        validate_only (bool):
+            Optional. Only validate the request, but do
+            not perform mutations. The default is false.
+    """
+
+    parent: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    lake_id: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+    lake: resources.Lake = proto.Field(
+        proto.MESSAGE,
+        number=3,
+        message=resources.Lake,
+    )
+    validate_only: bool = proto.Field(
+        proto.BOOL,
+        number=4,
+    )
+
+
+class UpdateLakeRequest(proto.Message):
+    r"""Update lake request.
+
+    Attributes:
+        update_mask (google.protobuf.field_mask_pb2.FieldMask):
+            Required. Mask of fields to update.
+        lake (google.cloud.dataplex_v1.types.Lake):
+            Required. Update description. Only fields specified in
+            ``update_mask`` are updated.
+        validate_only (bool):
+            Optional. Only validate the request, but do
+            not perform mutations. The default is false.
+    """
+
+    update_mask: field_mask_pb2.FieldMask = proto.Field(
+        proto.MESSAGE,
+        number=1,
+        message=field_mask_pb2.FieldMask,
+    )
+    lake: resources.Lake = proto.Field(
+        proto.MESSAGE,
+        number=2,
+        message=resources.Lake,
+    )
+    validate_only: bool = proto.Field(
+        proto.BOOL,
+        number=3,
+    )
+
+
+class DeleteLakeRequest(proto.Message):
+    r"""Delete lake request.
+
+    Attributes:
+        name (str):
+            Required. The resource name of the lake:
+            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}``.
+    """
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+
+
+class ListLakesRequest(proto.Message):
+    r"""List lakes request.
+
+    Attributes:
+        parent (str):
+            Required. The resource name of the lake location, of the
+            form: ``projects/{project_number}/locations/{location_id}``
+            where ``location_id`` refers to a GCP region.
+        page_size (int):
+            Optional. Maximum number of Lakes to return.
+            The service may return fewer than this value. If
+            unspecified, at most 10 lakes will be returned.
+            The maximum value is 1000; values above 1000
+            will be coerced to 1000.
+        page_token (str):
+            Optional. Page token received from a previous ``ListLakes``
+            call. Provide this to retrieve the subsequent page. When
+            paginating, all other parameters provided to ``ListLakes``
+            must match the call that provided the page token.
+        filter (str):
+            Optional. Filter request.
+        order_by (str):
+            Optional. Order by fields for the result.
+    """
+
+    parent: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    page_size: int = proto.Field(
+        proto.INT32,
+        number=2,
+    )
+    page_token: str = proto.Field(
+        proto.STRING,
+        number=3,
+    )
+    filter: str = proto.Field(
+        proto.STRING,
+        number=4,
+    )
+    order_by: str = proto.Field(
+        proto.STRING,
+        number=5,
+    )
+
+
+class ListLakesResponse(proto.Message):
+    r"""List lakes response.
+
+    Attributes:
+        lakes (MutableSequence[google.cloud.dataplex_v1.types.Lake]):
+            Lakes under the given parent location.
+        next_page_token (str):
+            Token to retrieve the next page of results,
+            or empty if there are no more results in the
+            list.
+        unreachable_locations (MutableSequence[str]):
+            Locations that could not be reached.
+    """
+
+    @property
+    def raw_page(self):
+        return self
+
+    lakes: MutableSequence[resources.Lake] = proto.RepeatedField(
+        proto.MESSAGE,
+        number=1,
+        message=resources.Lake,
+    )
+    next_page_token: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+    unreachable_locations: MutableSequence[str] = proto.RepeatedField(
+        proto.STRING,
+        number=3,
+    )
+
+
+class ListLakeActionsRequest(proto.Message):
+    r"""List lake actions request.
+
+    Attributes:
+        parent (str):
+            Required. The resource name of the parent lake:
+            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}``.
+        page_size (int):
+            Optional. Maximum number of actions to
+            return. The service may return fewer than this
+            value. If unspecified, at most 10 actions will
+            be returned. The maximum value is 1000; values
+            above 1000 will be coerced to 1000.
+        page_token (str):
+            Optional. Page token received from a previous
+            ``ListLakeActions`` call. Provide this to retrieve the
+            subsequent page. When paginating, all other parameters
+            provided to ``ListLakeActions`` must match the call that
+            provided the page token.
+    """
+
+    parent: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    page_size: int = proto.Field(
+        proto.INT32,
+        number=2,
+    )
+    page_token: str = proto.Field(
+        proto.STRING,
+        number=3,
+    )
+
+
+class ListActionsResponse(proto.Message):
+    r"""List actions response.
+
+    Attributes:
+        actions (MutableSequence[google.cloud.dataplex_v1.types.Action]):
+            Actions under the given parent
+            lake/zone/asset.
+        next_page_token (str):
+            Token to retrieve the next page of results,
+            or empty if there are no more results in the
+            list.
+    """
+
+    @property
+    def raw_page(self):
+        return self
+
+    actions: MutableSequence[resources.Action] = proto.RepeatedField(
+        proto.MESSAGE,
+        number=1,
+        message=resources.Action,
+    )
+    next_page_token: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+
+
+class GetLakeRequest(proto.Message):
+    r"""Get lake request.
+
+    Attributes:
+        name (str):
+            Required. The resource name of the lake:
+            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}``.
+    """
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+
+
+class CreateZoneRequest(proto.Message):
+    r"""Create zone request.
+
+    Attributes:
+        parent (str):
+            Required. The resource name of the parent lake:
+            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}``.
+        zone_id (str):
+            Required. Zone identifier. This ID will be used to generate
+            names such as database and dataset names when publishing
+            metadata to Hive Metastore and BigQuery.
+
+            -  Must contain only lowercase letters, numbers and hyphens.
+            -  Must start with a letter.
+            -  Must end with a number or a letter.
+            -  Must be between 1-63 characters.
+            -  Must be unique across all lakes from all locations in a
+               project.
+            -  Must not be one of the reserved IDs (i.e. "default",
+               "global-temp")
+        zone (google.cloud.dataplex_v1.types.Zone):
+            Required. Zone resource.
+        validate_only (bool):
+            Optional. Only validate the request, but do
+            not perform mutations. The default is false.
+    """
+
+    parent: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    zone_id: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+    zone: resources.Zone = proto.Field(
+        proto.MESSAGE,
+        number=3,
+        message=resources.Zone,
+    )
+    validate_only: bool = proto.Field(
+        proto.BOOL,
+        number=4,
+    )
+
+
+class UpdateZoneRequest(proto.Message):
+    r"""Update zone request.
+
+    Attributes:
+        update_mask (google.protobuf.field_mask_pb2.FieldMask):
+            Required. Mask of fields to update.
+        zone (google.cloud.dataplex_v1.types.Zone):
+            Required. Update description. Only fields specified in
+            ``update_mask`` are updated.
+        validate_only (bool):
+            Optional. Only validate the request, but do
+            not perform mutations. The default is false.
+    """
+
+    update_mask: field_mask_pb2.FieldMask = proto.Field(
+        proto.MESSAGE,
+        number=1,
+        message=field_mask_pb2.FieldMask,
+    )
+    zone: resources.Zone = proto.Field(
+        proto.MESSAGE,
+        number=2,
+        message=resources.Zone,
+    )
+    validate_only: bool = proto.Field(
+        proto.BOOL,
+        number=3,
+    )
+
+
+class DeleteZoneRequest(proto.Message):
+    r"""Delete zone request.
+
+    Attributes:
+        name (str):
+            Required. The resource name of the zone:
+            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}``.
+    """
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+
+
+class ListZonesRequest(proto.Message):
+    r"""List zones request.
+
+    Attributes:
+        parent (str):
+            Required. The resource name of the parent lake:
+            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}``.
+        page_size (int):
+            Optional. Maximum number of zones to return.
+            The service may return fewer than this value. If
+            unspecified, at most 10 zones will be returned.
+            The maximum value is 1000; values above 1000
+            will be coerced to 1000.
+        page_token (str):
+            Optional. Page token received from a previous ``ListZones``
+            call. Provide this to retrieve the subsequent page. When
+            paginating, all other parameters provided to ``ListZones``
+            must match the call that provided the page token.
+        filter (str):
+            Optional. Filter request.
+        order_by (str):
+            Optional. Order by fields for the result.
+    """
+
+    parent: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    page_size: int = proto.Field(
+        proto.INT32,
+        number=2,
+    )
+    page_token: str = proto.Field(
+        proto.STRING,
+        number=3,
+    )
+    filter: str = proto.Field(
+        proto.STRING,
+        number=4,
+    )
+    order_by: str = proto.Field(
+        proto.STRING,
+        number=5,
+    )
+
+
+class ListZonesResponse(proto.Message):
+    r"""List zones response.
+
+    Attributes:
+        zones (MutableSequence[google.cloud.dataplex_v1.types.Zone]):
+            Zones under the given parent lake.
+        next_page_token (str):
+            Token to retrieve the next page of results,
+            or empty if there are no more results in the
+            list.
+    """
+
+    @property
+    def raw_page(self):
+        return self
+
+    zones: MutableSequence[resources.Zone] = proto.RepeatedField(
+        proto.MESSAGE,
+        number=1,
+        message=resources.Zone,
+    )
+    next_page_token: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+
+
+class ListZoneActionsRequest(proto.Message):
+    r"""List zone actions request.
+
+    Attributes:
+        parent (str):
+            Required. The resource name of the parent zone:
+            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}``.
+        page_size (int):
+            Optional. Maximum number of actions to
+            return. The service may return fewer than this
+            value. If unspecified, at most 10 actions will
+            be returned. The maximum value is 1000; values
+            above 1000 will be coerced to 1000.
+        page_token (str):
+            Optional. Page token received from a previous
+            ``ListZoneActions`` call. Provide this to retrieve the
+            subsequent page. When paginating, all other parameters
+            provided to ``ListZoneActions`` must match the call that
+            provided the page token.
+    """
+
+    parent: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    page_size: int = proto.Field(
+        proto.INT32,
+        number=2,
+    )
+    page_token: str = proto.Field(
+        proto.STRING,
+        number=3,
+    )
+
+
+class GetZoneRequest(proto.Message):
+    r"""Get zone request.
+
+    Attributes:
+        name (str):
+            Required. The resource name of the zone:
+            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}``.
+    """
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+
+
+class CreateAssetRequest(proto.Message):
+    r"""Create asset request.
+
+    Attributes:
+        parent (str):
+            Required. The resource name of the parent zone:
+            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}``.
+        asset_id (str):
+            Required. Asset identifier. This ID will be used to generate
+            names such as table names when publishing metadata to Hive
+            Metastore and BigQuery.
+
+            -  Must contain only lowercase letters, numbers and hyphens.
+            -  Must start with a letter.
+            -  Must end with a number or a letter.
+            -  Must be between 1-63 characters.
+            -  Must be unique within the zone.
+        asset (google.cloud.dataplex_v1.types.Asset):
+            Required. Asset resource.
+        validate_only (bool):
+            Optional. Only validate the request, but do
+            not perform mutations. The default is false.
+    """
+
+    parent: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    asset_id: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+    asset: resources.Asset = proto.Field(
+        proto.MESSAGE,
+        number=3,
+        message=resources.Asset,
+    )
+    validate_only: bool = proto.Field(
+        proto.BOOL,
+        number=4,
+    )
+
+
+class UpdateAssetRequest(proto.Message):
+    r"""Update asset request.
+
+    Attributes:
+        update_mask (google.protobuf.field_mask_pb2.FieldMask):
+            Required. Mask of fields to update.
+        asset (google.cloud.dataplex_v1.types.Asset):
+            Required. Update description. Only fields specified in
+            ``update_mask`` are updated.
+        validate_only (bool):
+            Optional. Only validate the request, but do
+            not perform mutations. The default is false.
+    """
+
+    update_mask: field_mask_pb2.FieldMask = proto.Field(
+        proto.MESSAGE,
+        number=1,
+        message=field_mask_pb2.FieldMask,
+    )
+    asset: resources.Asset = proto.Field(
+        proto.MESSAGE,
+        number=2,
+        message=resources.Asset,
+    )
+    validate_only: bool = proto.Field(
+        proto.BOOL,
+        number=3,
+    )
+
+
+class DeleteAssetRequest(proto.Message):
+    r"""Delete asset request.
+
+    Attributes:
+        name (str):
+            Required. The resource name of the asset:
+            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/assets/{asset_id}``.
+    """
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+
+
+class ListAssetsRequest(proto.Message):
+    r"""List assets request.
+
+    Attributes:
+        parent (str):
+            Required. The resource name of the parent zone:
+            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}``.
+        page_size (int):
+            Optional. Maximum number of asset to return.
+            The service may return fewer than this value. If
+            unspecified, at most 10 assets will be returned.
+            The maximum value is 1000; values above 1000
+            will be coerced to 1000.
+        page_token (str):
+            Optional. Page token received from a previous ``ListAssets``
+            call. Provide this to retrieve the subsequent page. When
+            paginating, all other parameters provided to ``ListAssets``
+            must match the call that provided the page token.
+        filter (str):
+            Optional. Filter request.
+        order_by (str):
+            Optional. Order by fields for the result.
+    """
+
+    parent: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    page_size: int = proto.Field(
+        proto.INT32,
+        number=2,
+    )
+    page_token: str = proto.Field(
+        proto.STRING,
+        number=3,
+    )
+    filter: str = proto.Field(
+        proto.STRING,
+        number=4,
+    )
+    order_by: str = proto.Field(
+        proto.STRING,
+        number=5,
+    )
+
+
+class ListAssetsResponse(proto.Message):
+    r"""List assets response.
+
+    Attributes:
+        assets (MutableSequence[google.cloud.dataplex_v1.types.Asset]):
+            Asset under the given parent zone.
+        next_page_token (str):
+            Token to retrieve the next page of results,
+            or empty if there are no more results in the
+            list.
+    """
+
+    @property
+    def raw_page(self):
+        return self
+
+    assets: MutableSequence[resources.Asset] = proto.RepeatedField(
+        proto.MESSAGE,
+        number=1,
+        message=resources.Asset,
+    )
+    next_page_token: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+
+
+class ListAssetActionsRequest(proto.Message):
+    r"""List asset actions request.
+
+    Attributes:
+        parent (str):
+            Required. The resource name of the parent asset:
+            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/assets/{asset_id}``.
+        page_size (int):
+            Optional. Maximum number of actions to
+            return. The service may return fewer than this
+            value. If unspecified, at most 10 actions will
+            be returned. The maximum value is 1000; values
+            above 1000 will be coerced to 1000.
+        page_token (str):
+            Optional. Page token received from a previous
+            ``ListAssetActions`` call. Provide this to retrieve the
+            subsequent page. When paginating, all other parameters
+            provided to ``ListAssetActions`` must match the call that
+            provided the page token.
+    """
+
+    parent: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    page_size: int = proto.Field(
+        proto.INT32,
+        number=2,
+    )
+    page_token: str = proto.Field(
+        proto.STRING,
+        number=3,
+    )
+
+
+class GetAssetRequest(proto.Message):
+    r"""Get asset request.
+
+    Attributes:
+        name (str):
+            Required. The resource name of the asset:
+            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/assets/{asset_id}``.
+    """
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+
+
+class OperationMetadata(proto.Message):
+    r"""Represents the metadata of a long-running operation.
+
+    Attributes:
+        create_time (google.protobuf.timestamp_pb2.Timestamp):
+            Output only. The time the operation was
+            created.
+        end_time (google.protobuf.timestamp_pb2.Timestamp):
+            Output only. The time the operation finished
+            running.
+        target (str):
+            Output only. Server-defined resource path for
+            the target of the operation.
+        verb (str):
+            Output only. Name of the verb executed by the
+            operation.
+        status_message (str):
+            Output only. Human-readable status of the
+            operation, if any.
+        requested_cancellation (bool):
+            Output only. Identifies whether the user has requested
+            cancellation of the operation. Operations that have
+            successfully been cancelled have [Operation.error][] value
+            with a [google.rpc.Status.code][google.rpc.Status.code] of
+            1, corresponding to ``Code.CANCELLED``.
+        api_version (str):
+            Output only. API version used to start the
+            operation.
+    """
+
+    create_time: timestamp_pb2.Timestamp = proto.Field(
+        proto.MESSAGE,
+        number=1,
+        message=timestamp_pb2.Timestamp,
+    )
+    end_time: timestamp_pb2.Timestamp = proto.Field(
+        proto.MESSAGE,
+        number=2,
+        message=timestamp_pb2.Timestamp,
+    )
+    target: str = proto.Field(
+        proto.STRING,
+        number=3,
+    )
+    verb: str = proto.Field(
+        proto.STRING,
+        number=4,
+    )
+    status_message: str = proto.Field(
+        proto.STRING,
+        number=5,
+    )
+    requested_cancellation: bool = proto.Field(
+        proto.BOOL,
+        number=6,
+    )
+    api_version: str = proto.Field(
+        proto.STRING,
+        number=7,
+    )
+
+
+class CreateTaskRequest(proto.Message):
+    r"""Create task request.
+
+    Attributes:
+        parent (str):
+            Required. The resource name of the parent lake:
+            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}``.
+        task_id (str):
+            Required. Task identifier.
+        task (google.cloud.dataplex_v1.types.Task):
+            Required. Task resource.
+        validate_only (bool):
+            Optional. Only validate the request, but do
+            not perform mutations. The default is false.
+    """
+
+    parent: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    task_id: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+    task: gcd_tasks.Task = proto.Field(
+        proto.MESSAGE,
+        number=3,
+        message=gcd_tasks.Task,
+    )
+    validate_only: bool = proto.Field(
+        proto.BOOL,
+        number=4,
+    )
+
+
+class UpdateTaskRequest(proto.Message):
+    r"""Update task request.
+
+    Attributes:
+        update_mask (google.protobuf.field_mask_pb2.FieldMask):
+            Required. Mask of fields to update.
+        task (google.cloud.dataplex_v1.types.Task):
+            Required. Update description. Only fields specified in
+            ``update_mask`` are updated.
+        validate_only (bool):
+            Optional. Only validate the request, but do
+            not perform mutations. The default is false.
+    """
+
+    update_mask: field_mask_pb2.FieldMask = proto.Field(
+        proto.MESSAGE,
+        number=1,
+        message=field_mask_pb2.FieldMask,
+    )
+    task: gcd_tasks.Task = proto.Field(
+        proto.MESSAGE,
+        number=2,
+        message=gcd_tasks.Task,
+    )
+    validate_only: bool = proto.Field(
+        proto.BOOL,
+        number=3,
+    )
+
+
+class DeleteTaskRequest(proto.Message):
+    r"""Delete task request.
+
+    Attributes:
+        name (str):
+            Required. The resource name of the task:
+            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/task/{task_id}``.
+    """
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+
+
+class ListTasksRequest(proto.Message):
+    r"""List tasks request.
+
+    Attributes:
+        parent (str):
+            Required. The resource name of the parent lake:
+            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}``.
+        page_size (int):
+            Optional. Maximum number of tasks to return.
+            The service may return fewer than this value. If
+            unspecified, at most 10 tasks will be returned.
+            The maximum value is 1000; values above 1000
+            will be coerced to 1000.
+        page_token (str):
+            Optional. Page token received from a previous ``ListZones``
+            call. Provide this to retrieve the subsequent page. When
+            paginating, all other parameters provided to ``ListZones``
+            must match the call that provided the page token.
+        filter (str):
+            Optional. Filter request.
+        order_by (str):
+            Optional. Order by fields for the result.
+    """
+
+    parent: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    page_size: int = proto.Field(
+        proto.INT32,
+        number=2,
+    )
+    page_token: str = proto.Field(
+        proto.STRING,
+        number=3,
+    )
+    filter: str = proto.Field(
+        proto.STRING,
+        number=4,
+    )
+    order_by: str = proto.Field(
+        proto.STRING,
+        number=5,
+    )
+
+
+class ListTasksResponse(proto.Message):
+    r"""List tasks response.
+
+    Attributes:
+        tasks (MutableSequence[google.cloud.dataplex_v1.types.Task]):
+            Tasks under the given parent lake.
+        next_page_token (str):
+            Token to retrieve the next page of results,
+            or empty if there are no more results in the
+            list.
+        unreachable_locations (MutableSequence[str]):
+            Locations that could not be reached.
+    """
+
+    @property
+    def raw_page(self):
+        return self
+
+    tasks: MutableSequence[gcd_tasks.Task] = proto.RepeatedField(
+        proto.MESSAGE,
+        number=1,
+        message=gcd_tasks.Task,
+    )
+    next_page_token: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+    unreachable_locations: MutableSequence[str] = proto.RepeatedField(
+        proto.STRING,
+        number=3,
+    )
+
+
+class GetTaskRequest(proto.Message):
+    r"""Get task request.
+
+    Attributes:
+        name (str):
+            Required. The resource name of the task:
+            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/tasks/{tasks_id}``.
+    """
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+
+
+class GetJobRequest(proto.Message):
+    r"""Get job request.
+
+    Attributes:
+        name (str):
+            Required. The resource name of the job:
+            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/tasks/{task_id}/jobs/{job_id}``.
+    """
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+
+
+class RunTaskRequest(proto.Message):
+    r"""
+
+    Attributes:
+        name (str):
+            Required. The resource name of the task:
+            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/tasks/{task_id}``.
+        labels (MutableMapping[str, str]):
+            Optional. User-defined labels for the task.
+            If the map is left empty, the task will run with
+            existing labels from task definition. If the map
+            contains an entry with a new key, the same will
+            be added to existing set of labels. If the map
+            contains an entry with an existing label key in
+            task definition, the task will run with new
+            label value for that entry. Clearing an existing
+            label will require label value to be explicitly
+            set to a hyphen "-". The label value cannot be
+            empty.
+        args (MutableMapping[str, str]):
+            Optional. Execution spec arguments. If the
+            map is left empty, the task will run with
+            existing execution spec args from task
+            definition. If the map contains an entry with a
+            new key, the same will be added to existing set
+            of args. If the map contains an entry with an
+            existing arg key in task definition, the task
+            will run with new arg value for that entry.
+            Clearing an existing arg will require arg value
+            to be explicitly set to a hyphen "-". The arg
+            value cannot be empty.
+    """
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    labels: MutableMapping[str, str] = proto.MapField(
+        proto.STRING,
+        proto.STRING,
+        number=3,
+    )
+    args: MutableMapping[str, str] = proto.MapField(
+        proto.STRING,
+        proto.STRING,
+        number=4,
+    )
+
+
+class RunTaskResponse(proto.Message):
+    r"""
+
+    Attributes:
+        job (google.cloud.dataplex_v1.types.Job):
+            Jobs created by RunTask API.
+    """
+
+    job: gcd_tasks.Job = proto.Field(
+        proto.MESSAGE,
+        number=1,
+        message=gcd_tasks.Job,
+    )
+
+
+class ListJobsRequest(proto.Message):
+    r"""List jobs request.
+
+    Attributes:
+        parent (str):
+            Required. The resource name of the parent environment:
+            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/tasks/{task_id}``.
+        page_size (int):
+            Optional. Maximum number of jobs to return.
+            The service may return fewer than this value. If
+            unspecified, at most 10 jobs will be returned.
+            The maximum value is 1000; values above 1000
+            will be coerced to 1000.
+        page_token (str):
+            Optional. Page token received from a previous ``ListJobs``
+            call. Provide this to retrieve the subsequent page. When
+            paginating, all other parameters provided to ``ListJobs``
+            must match the call that provided the page token.
+    """
+
+    parent: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    page_size: int = proto.Field(
+        proto.INT32,
+        number=2,
+    )
+    page_token: str = proto.Field(
+        proto.STRING,
+        number=3,
+    )
+
+
+class ListJobsResponse(proto.Message):
+    r"""List jobs response.
+
+    Attributes:
+        jobs (MutableSequence[google.cloud.dataplex_v1.types.Job]):
+            Jobs under a given task.
+        next_page_token (str):
+            Token to retrieve the next page of results,
+            or empty if there are no more results in the
+            list.
+    """
+
+    @property
+    def raw_page(self):
+        return self
+
+    jobs: MutableSequence[gcd_tasks.Job] = proto.RepeatedField(
+        proto.MESSAGE,
+        number=1,
+        message=gcd_tasks.Job,
+    )
+    next_page_token: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+
+
+class CancelJobRequest(proto.Message):
+    r"""Cancel task jobs.
+
+    Attributes:
+        name (str):
+            Required. The resource name of the job:
+            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/task/{task_id}/job/{job_id}``.
+    """
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+
+
+class CreateEnvironmentRequest(proto.Message):
+    r"""Create environment request.
+
+    Attributes:
+        parent (str):
+            Required. The resource name of the parent lake:
+            ``projects/{project_id}/locations/{location_id}/lakes/{lake_id}``.
+        environment_id (str):
+            Required. Environment identifier.
+
+            -  Must contain only lowercase letters, numbers and hyphens.
+            -  Must start with a letter.
+            -  Must be between 1-63 characters.
+            -  Must end with a number or a letter.
+            -  Must be unique within the lake.
+        environment (google.cloud.dataplex_v1.types.Environment):
+            Required. Environment resource.
+        validate_only (bool):
+            Optional. Only validate the request, but do
+            not perform mutations. The default is false.
+    """
+
+    parent: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    environment_id: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+    environment: analyze.Environment = proto.Field(
+        proto.MESSAGE,
+        number=3,
+        message=analyze.Environment,
+    )
+    validate_only: bool = proto.Field(
+        proto.BOOL,
+        number=4,
+    )
+
+
+class UpdateEnvironmentRequest(proto.Message):
+    r"""Update environment request.
+
+    Attributes:
+        update_mask (google.protobuf.field_mask_pb2.FieldMask):
+            Required. Mask of fields to update.
+        environment (google.cloud.dataplex_v1.types.Environment):
+            Required. Update description. Only fields specified in
+            ``update_mask`` are updated.
+        validate_only (bool):
+            Optional. Only validate the request, but do
+            not perform mutations. The default is false.
+    """
+
+    update_mask: field_mask_pb2.FieldMask = proto.Field(
+        proto.MESSAGE,
+        number=1,
+        message=field_mask_pb2.FieldMask,
+    )
+    environment: analyze.Environment = proto.Field(
+        proto.MESSAGE,
+        number=2,
+        message=analyze.Environment,
+    )
+    validate_only: bool = proto.Field(
+        proto.BOOL,
+        number=3,
+    )
+
+
+class DeleteEnvironmentRequest(proto.Message):
+    r"""Delete environment request.
+
+    Attributes:
+        name (str):
+            Required. The resource name of the environment:
+            ``projects/{project_id}/locations/{location_id}/lakes/{lake_id}/environments/{environment_id}``.
+    """
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+
+
+class ListEnvironmentsRequest(proto.Message):
+    r"""List environments request.
+
+    Attributes:
+        parent (str):
+            Required. The resource name of the parent lake:
+            ``projects/{project_id}/locations/{location_id}/lakes/{lake_id}``.
+        page_size (int):
+            Optional. Maximum number of environments to
+            return. The service may return fewer than this
+            value. If unspecified, at most 10 environments
+            will be returned. The maximum value is 1000;
+            values above 1000 will be coerced to 1000.
+        page_token (str):
+            Optional. Page token received from a previous
+            ``ListEnvironments`` call. Provide this to retrieve the
+            subsequent page. When paginating, all other parameters
+            provided to ``ListEnvironments`` must match the call that
+            provided the page token.
+        filter (str):
+            Optional. Filter request.
+        order_by (str):
+            Optional. Order by fields for the result.
+    """
+
+    parent: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    page_size: int = proto.Field(
+        proto.INT32,
+        number=2,
+    )
+    page_token: str = proto.Field(
+        proto.STRING,
+        number=3,
+    )
+    filter: str = proto.Field(
+        proto.STRING,
+        number=4,
+    )
+    order_by: str = proto.Field(
+        proto.STRING,
+        number=5,
+    )
+
+
+class ListEnvironmentsResponse(proto.Message):
+    r"""List environments response.
+
+    Attributes:
+        environments (MutableSequence[google.cloud.dataplex_v1.types.Environment]):
+            Environments under the given parent lake.
+        next_page_token (str):
+            Token to retrieve the next page of results,
+            or empty if there are no more results in the
+            list.
+    """
+
+    @property
+    def raw_page(self):
+        return self
+
+    environments: MutableSequence[analyze.Environment] = proto.RepeatedField(
+        proto.MESSAGE,
+        number=1,
+        message=analyze.Environment,
+    )
+    next_page_token: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+
+
+class GetEnvironmentRequest(proto.Message):
+    r"""Get environment request.
+
+    Attributes:
+        name (str):
+            Required. The resource name of the environment:
+            ``projects/{project_id}/locations/{location_id}/lakes/{lake_id}/environments/{environment_id}``.
+    """
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+
+
+class ListSessionsRequest(proto.Message):
+    r"""List sessions request.
+
+    Attributes:
+        parent (str):
+            Required. The resource name of the parent environment:
+            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/environment/{environment_id}``.
+        page_size (int):
+            Optional. Maximum number of sessions to
+            return. The service may return fewer than this
+            value. If unspecified, at most 10 sessions will
+            be returned. The maximum value is 1000; values
+            above 1000 will be coerced to 1000.
+        page_token (str):
+            Optional. Page token received from a previous
+            ``ListSessions`` call. Provide this to retrieve the
+            subsequent page. When paginating, all other parameters
+            provided to ``ListSessions`` must match the call that
+            provided the page token.
+        filter (str):
+            Optional. Filter request. The following ``mode`` filter is
+            supported to return only the sessions belonging to the
+            requester when the mode is USER and return sessions of all
+            the users when the mode is ADMIN. When no filter is sent
+            default to USER mode. NOTE: When the mode is ADMIN, the
+            requester should have
+            ``dataplex.environments.listAllSessions`` permission to list
+            all sessions, in absence of the permission, the request
+            fails.
+
+            mode = ADMIN \| USER
+    """
+
+    parent: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    page_size: int = proto.Field(
+        proto.INT32,
+        number=2,
+    )
+    page_token: str = proto.Field(
+        proto.STRING,
+        number=3,
+    )
+    filter: str = proto.Field(
+        proto.STRING,
+        number=4,
+    )
+
+
+class ListSessionsResponse(proto.Message):
+    r"""List sessions response.
+
+    Attributes:
+        sessions (MutableSequence[google.cloud.dataplex_v1.types.Session]):
+            Sessions under a given environment.
+        next_page_token (str):
+            Token to retrieve the next page of results,
+            or empty if there are no more results in the
+            list.
+    """
+
+    @property
+    def raw_page(self):
+        return self
+
+    sessions: MutableSequence[analyze.Session] = proto.RepeatedField(
+        proto.MESSAGE,
+        number=1,
+        message=analyze.Session,
+    )
+    next_page_token: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+
+
+__all__ = tuple(sorted(__protobuf__.manifest))
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/tasks.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/tasks.py
new file mode 100644
index 000000000000..3f0b83c776fc
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/tasks.py
@@ -0,0 +1,751 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from __future__ import annotations
+
+from typing import MutableMapping, MutableSequence
+
+import proto  # type: ignore
+
+from google.cloud.dataplex_v1.types import resources
+from google.protobuf import duration_pb2  # type: ignore
+from google.protobuf import timestamp_pb2  # type: ignore
+
+
+__protobuf__ = proto.module(
+    package='google.cloud.dataplex.v1',
+    manifest={
+        'Task',
+        'Job',
+    },
+)
+
+
+class Task(proto.Message):
+    r"""A task represents a user-visible job.
+
+    This message has `oneof`_ fields (mutually exclusive fields).
+    For each oneof, at most one member field can be set at the same time.
+    Setting any member of the oneof automatically clears all other
+    members.
+
+    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
+
+    Attributes:
+        name (str):
+            Output only. The relative resource name of the task, of the
+            form:
+            projects/{project_number}/locations/{location_id}/lakes/{lake_id}/
+            tasks/{task_id}.
+        uid (str):
+            Output only. System generated globally unique
+            ID for the task. This ID will be different if
+            the task is deleted and re-created with the same
+            name.
+        create_time (google.protobuf.timestamp_pb2.Timestamp):
+            Output only. The time when the task was
+            created.
+        update_time (google.protobuf.timestamp_pb2.Timestamp):
+            Output only. The time when the task was last
+            updated.
+        description (str):
+            Optional. Description of the task.
+        display_name (str):
+            Optional. User friendly display name.
+        state (google.cloud.dataplex_v1.types.State):
+            Output only. Current state of the task.
+        labels (MutableMapping[str, str]):
+            Optional. User-defined labels for the task.
+        trigger_spec (google.cloud.dataplex_v1.types.Task.TriggerSpec):
+            Required. Spec related to how often and when
+            a task should be triggered.
+        execution_spec (google.cloud.dataplex_v1.types.Task.ExecutionSpec):
+            Required. Spec related to how a task is
+            executed.
+        execution_status (google.cloud.dataplex_v1.types.Task.ExecutionStatus):
+            Output only. Status of the latest task
+            executions.
+        spark (google.cloud.dataplex_v1.types.Task.SparkTaskConfig):
+            Config related to running custom Spark tasks.
+
+            This field is a member of `oneof`_ ``config``.
+        notebook (google.cloud.dataplex_v1.types.Task.NotebookTaskConfig):
+            Config related to running scheduled
+            Notebooks.
+
+            This field is a member of `oneof`_ ``config``.
+    """
+
+    class InfrastructureSpec(proto.Message):
+        r"""Configuration for the underlying infrastructure used to run
+        workloads.
+
+
+        .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
+
+        Attributes:
+            batch (google.cloud.dataplex_v1.types.Task.InfrastructureSpec.BatchComputeResources):
+                Compute resources needed for a Task when
+                using Dataproc Serverless.
+
+                This field is a member of `oneof`_ ``resources``.
+            container_image (google.cloud.dataplex_v1.types.Task.InfrastructureSpec.ContainerImageRuntime):
+                Container Image Runtime Configuration.
+
+                This field is a member of `oneof`_ ``runtime``.
+            vpc_network (google.cloud.dataplex_v1.types.Task.InfrastructureSpec.VpcNetwork):
+                Vpc network.
+
+                This field is a member of `oneof`_ ``network``.
+        """
+
+        class BatchComputeResources(proto.Message):
+            r"""Batch compute resources associated with the task.
+
+            Attributes:
+                executors_count (int):
+                    Optional. Total number of job executors. Executor Count
+                    should be between 2 and 100. [Default=2]
+                max_executors_count (int):
+                    Optional. Max configurable executors. If max_executors_count
+                    > executors_count, then auto-scaling is enabled. Max
+                    Executor Count should be between 2 and 1000. [Default=1000]
+            """
+
+            executors_count: int = proto.Field(
+                proto.INT32,
+                number=1,
+            )
+            max_executors_count: int = proto.Field(
+                proto.INT32,
+                number=2,
+            )
+
+        class ContainerImageRuntime(proto.Message):
+            r"""Container Image Runtime Configuration used with Batch
+            execution.
+
+            Attributes:
+                image (str):
+                    Optional. Container image to use.
+                java_jars (MutableSequence[str]):
+                    Optional. A list of Java JARS to add to the
+                    classpath. Valid input includes Cloud Storage
+                    URIs to Jar binaries. For example,
+                    gs://bucket-name/my/path/to/file.jar
+                python_packages (MutableSequence[str]):
+                    Optional. A list of python packages to be
+                    installed. Valid formats include Cloud Storage
+                    URI to a PIP installable library. For example,
+                    gs://bucket-name/my/path/to/lib.tar.gz
+                properties (MutableMapping[str, str]):
+                    Optional. Override to common configuration of open source
+                    components installed on the Dataproc cluster. The properties
+                    to set on daemon config files. Property keys are specified
+                    in ``prefix:property`` format, for example
+                    ``core:hadoop.tmp.dir``. For more information, see `Cluster
+                    properties <https://cloud.google.com/dataproc/docs/concepts/cluster-properties>`__.
+            """
+
+            image: str = proto.Field(
+                proto.STRING,
+                number=1,
+            )
+            java_jars: MutableSequence[str] = proto.RepeatedField(
+                proto.STRING,
+                number=2,
+            )
+            python_packages: MutableSequence[str] = proto.RepeatedField(
+                proto.STRING,
+                number=3,
+            )
+            properties: MutableMapping[str, str] = proto.MapField(
+                proto.STRING,
+                proto.STRING,
+                number=4,
+            )
+
+        class VpcNetwork(proto.Message):
+            r"""Cloud VPC Network used to run the infrastructure.
+
+            This message has `oneof`_ fields (mutually exclusive fields).
+            For each oneof, at most one member field can be set at the same time.
+            Setting any member of the oneof automatically clears all other
+            members.
+
+            .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
+
+            Attributes:
+                network (str):
+                    Optional. The Cloud VPC network in which the
+                    job is run. By default, the Cloud VPC network
+                    named Default within the project is used.
+
+                    This field is a member of `oneof`_ ``network_name``.
+                sub_network (str):
+                    Optional. The Cloud VPC sub-network in which
+                    the job is run.
+
+                    This field is a member of `oneof`_ ``network_name``.
+                network_tags (MutableSequence[str]):
+                    Optional. List of network tags to apply to
+                    the job.
+            """
+
+            network: str = proto.Field(
+                proto.STRING,
+                number=1,
+                oneof='network_name',
+            )
+            sub_network: str = proto.Field(
+                proto.STRING,
+                number=2,
+                oneof='network_name',
+            )
+            network_tags: MutableSequence[str] = proto.RepeatedField(
+                proto.STRING,
+                number=3,
+            )
+
+        batch: 'Task.InfrastructureSpec.BatchComputeResources' = proto.Field(
+            proto.MESSAGE,
+            number=52,
+            oneof='resources',
+            message='Task.InfrastructureSpec.BatchComputeResources',
+        )
+        container_image: 'Task.InfrastructureSpec.ContainerImageRuntime' = proto.Field(
+            proto.MESSAGE,
+            number=101,
+            oneof='runtime',
+            message='Task.InfrastructureSpec.ContainerImageRuntime',
+        )
+        vpc_network: 'Task.InfrastructureSpec.VpcNetwork' = proto.Field(
+            proto.MESSAGE,
+            number=150,
+            oneof='network',
+            message='Task.InfrastructureSpec.VpcNetwork',
+        )
+
+    class TriggerSpec(proto.Message):
+        r"""Task scheduling and trigger settings.
+
+        .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
+
+        Attributes:
+            type_ (google.cloud.dataplex_v1.types.Task.TriggerSpec.Type):
+                Required. Immutable. Trigger type of the
+                user-specified Task.
+            start_time (google.protobuf.timestamp_pb2.Timestamp):
+                Optional. The first run of the task will be after this time.
+                If not specified, the task will run shortly after being
+                submitted if ON_DEMAND and based on the schedule if
+                RECURRING.
+            disabled (bool):
+                Optional. Prevent the task from executing.
+                This does not cancel already running tasks. It
+                is intended to temporarily disable RECURRING
+                tasks.
+            max_retries (int):
+                Optional. Number of retry attempts before
+                aborting. Set to zero to never attempt to retry
+                a failed task.
+            schedule (str):
+                Optional. Cron schedule (https://en.wikipedia.org/wiki/Cron)
+                for running tasks periodically. To explicitly set a timezone
+                to the cron tab, apply a prefix in the cron tab:
+                "CRON_TZ=${IANA_TIME_ZONE}" or "TZ=${IANA_TIME_ZONE}". The
+                ${IANA_TIME_ZONE} may only be a valid string from IANA time
+                zone database. For example,
+                ``CRON_TZ=America/New_York 1 * * * *``, or
+                ``TZ=America/New_York 1 * * * *``. This field is required
+                for RECURRING tasks.
+
+                This field is a member of `oneof`_ ``trigger``.
+        """
+        class Type(proto.Enum):
+            r"""Determines how often and when the job will run.
+
+            Values:
+                TYPE_UNSPECIFIED (0):
+                    Unspecified trigger type.
+                ON_DEMAND (1):
+                    The task runs one-time shortly after Task
+                    Creation.
+                RECURRING (2):
+                    The task is scheduled to run periodically.
+            """
+            TYPE_UNSPECIFIED = 0
+            ON_DEMAND = 1
+            RECURRING = 2
+
+        type_: 'Task.TriggerSpec.Type' = proto.Field(
+            proto.ENUM,
+            number=5,
+            enum='Task.TriggerSpec.Type',
+        )
+        start_time: timestamp_pb2.Timestamp = proto.Field(
+            proto.MESSAGE,
+            number=6,
+            message=timestamp_pb2.Timestamp,
+        )
+        disabled: bool = proto.Field(
+            proto.BOOL,
+            number=4,
+        )
+        max_retries: int = proto.Field(
+            proto.INT32,
+            number=7,
+        )
+        schedule: str = proto.Field(
+            proto.STRING,
+            number=100,
+            oneof='trigger',
+        )
+
+    class ExecutionSpec(proto.Message):
+        r"""Execution related settings, like retry and service_account.
+
+        Attributes:
+            args (MutableMapping[str, str]):
+                Optional. The arguments to pass to the task. The args can
+                use placeholders of the format ${placeholder} as part of
+                key/value string. These will be interpolated before passing
+                the args to the driver. Currently supported placeholders:
+
+                -  ${task_id}
+                -  ${job_time} To pass positional args, set the key as
+                   TASK_ARGS. The value should be a comma-separated string
+                   of all the positional arguments. To use a delimiter other
+                   than comma, refer to
+                   https://cloud.google.com/sdk/gcloud/reference/topic/escaping.
+                   In case of other keys being present in the args, then
+                   TASK_ARGS will be passed as the last argument.
+            service_account (str):
+                Required. Service account to use to execute a
+                task. If not provided, the default Compute
+                service account for the project is used.
+            project (str):
+                Optional. The project in which jobs are run. By default, the
+                project containing the Lake is used. If a project is
+                provided, the
+                [ExecutionSpec.service_account][google.cloud.dataplex.v1.Task.ExecutionSpec.service_account]
+                must belong to this project.
+            max_job_execution_lifetime (google.protobuf.duration_pb2.Duration):
+                Optional. The maximum duration after which
+                the job execution is expired.
+            kms_key (str):
+                Optional. The Cloud KMS key to use for encryption, of the
+                form:
+                ``projects/{project_number}/locations/{location_id}/keyRings/{key-ring-name}/cryptoKeys/{key-name}``.
+        """
+
+        args: MutableMapping[str, str] = proto.MapField(
+            proto.STRING,
+            proto.STRING,
+            number=4,
+        )
+        service_account: str = proto.Field(
+            proto.STRING,
+            number=5,
+        )
+        project: str = proto.Field(
+            proto.STRING,
+            number=7,
+        )
+        max_job_execution_lifetime: duration_pb2.Duration = proto.Field(
+            proto.MESSAGE,
+            number=8,
+            message=duration_pb2.Duration,
+        )
+        kms_key: str = proto.Field(
+            proto.STRING,
+            number=9,
+        )
+
+    class SparkTaskConfig(proto.Message):
+        r"""User-specified config for running a Spark task.
+
+        This message has `oneof`_ fields (mutually exclusive fields).
+        For each oneof, at most one member field can be set at the same time.
+        Setting any member of the oneof automatically clears all other
+        members.
+
+        .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
+
+        Attributes:
+            main_jar_file_uri (str):
+                The Cloud Storage URI of the jar file that contains the main
+                class. The execution args are passed in as a sequence of
+                named process arguments (``--key=value``).
+
+                This field is a member of `oneof`_ ``driver``.
+            main_class (str):
+                The name of the driver's main class. The jar file that
+                contains the class must be in the default CLASSPATH or
+                specified in ``jar_file_uris``. The execution args are
+                passed in as a sequence of named process arguments
+                (``--key=value``).
+
+                This field is a member of `oneof`_ ``driver``.
+            python_script_file (str):
+                The Gcloud Storage URI of the main Python file to use as the
+                driver. Must be a .py file. The execution args are passed in
+                as a sequence of named process arguments (``--key=value``).
+
+                This field is a member of `oneof`_ ``driver``.
+            sql_script_file (str):
+                A reference to a query file. This should be the Cloud
+                Storage URI of the query file. The execution args are used
+                to declare a set of script variables (``set key="value";``).
+
+                This field is a member of `oneof`_ ``driver``.
+            sql_script (str):
+                The query text. The execution args are used to declare a set
+                of script variables (``set key="value";``).
+
+                This field is a member of `oneof`_ ``driver``.
+            file_uris (MutableSequence[str]):
+                Optional. Cloud Storage URIs of files to be
+                placed in the working directory of each
+                executor.
+            archive_uris (MutableSequence[str]):
+                Optional. Cloud Storage URIs of archives to
+                be extracted into the working directory of each
+                executor. Supported file types: .jar, .tar,
+                .tar.gz, .tgz, and .zip.
+            infrastructure_spec (google.cloud.dataplex_v1.types.Task.InfrastructureSpec):
+                Optional. Infrastructure specification for
+                the execution.
+        """
+
+        main_jar_file_uri: str = proto.Field(
+            proto.STRING,
+            number=100,
+            oneof='driver',
+        )
+        main_class: str = proto.Field(
+            proto.STRING,
+            number=101,
+            oneof='driver',
+        )
+        python_script_file: str = proto.Field(
+            proto.STRING,
+            number=102,
+            oneof='driver',
+        )
+        sql_script_file: str = proto.Field(
+            proto.STRING,
+            number=104,
+            oneof='driver',
+        )
+        sql_script: str = proto.Field(
+            proto.STRING,
+            number=105,
+            oneof='driver',
+        )
+        file_uris: MutableSequence[str] = proto.RepeatedField(
+            proto.STRING,
+            number=3,
+        )
+        archive_uris: MutableSequence[str] = proto.RepeatedField(
+            proto.STRING,
+            number=4,
+        )
+        infrastructure_spec: 'Task.InfrastructureSpec' = proto.Field(
+            proto.MESSAGE,
+            number=6,
+            message='Task.InfrastructureSpec',
+        )
+
+    class NotebookTaskConfig(proto.Message):
+        r"""Config for running scheduled notebooks.
+
+        Attributes:
+            notebook (str):
+                Required. Path to input notebook. This can be the Cloud
+                Storage URI of the notebook file or the path to a Notebook
+                Content. The execution args are accessible as environment
+                variables (``TASK_key=value``).
+            infrastructure_spec (google.cloud.dataplex_v1.types.Task.InfrastructureSpec):
+                Optional. Infrastructure specification for
+                the execution.
+            file_uris (MutableSequence[str]):
+                Optional. Cloud Storage URIs of files to be
+                placed in the working directory of each
+                executor.
+            archive_uris (MutableSequence[str]):
+                Optional. Cloud Storage URIs of archives to
+                be extracted into the working directory of each
+                executor. Supported file types: .jar, .tar,
+                .tar.gz, .tgz, and .zip.
+        """
+
+        notebook: str = proto.Field(
+            proto.STRING,
+            number=4,
+        )
+        infrastructure_spec: 'Task.InfrastructureSpec' = proto.Field(
+            proto.MESSAGE,
+            number=3,
+            message='Task.InfrastructureSpec',
+        )
+        file_uris: MutableSequence[str] = proto.RepeatedField(
+            proto.STRING,
+            number=5,
+        )
+        archive_uris: MutableSequence[str] = proto.RepeatedField(
+            proto.STRING,
+            number=6,
+        )
+
+    class ExecutionStatus(proto.Message):
+        r"""Status of the task execution (e.g. Jobs).
+
+        Attributes:
+            update_time (google.protobuf.timestamp_pb2.Timestamp):
+                Output only. Last update time of the status.
+            latest_job (google.cloud.dataplex_v1.types.Job):
+                Output only. latest job execution
+        """
+
+        update_time: timestamp_pb2.Timestamp = proto.Field(
+            proto.MESSAGE,
+            number=3,
+            message=timestamp_pb2.Timestamp,
+        )
+        latest_job: 'Job' = proto.Field(
+            proto.MESSAGE,
+            number=9,
+            message='Job',
+        )
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    uid: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+    create_time: timestamp_pb2.Timestamp = proto.Field(
+        proto.MESSAGE,
+        number=3,
+        message=timestamp_pb2.Timestamp,
+    )
+    update_time: timestamp_pb2.Timestamp = proto.Field(
+        proto.MESSAGE,
+        number=4,
+        message=timestamp_pb2.Timestamp,
+    )
+    description: str = proto.Field(
+        proto.STRING,
+        number=5,
+    )
+    display_name: str = proto.Field(
+        proto.STRING,
+        number=6,
+    )
+    state: resources.State = proto.Field(
+        proto.ENUM,
+        number=7,
+        enum=resources.State,
+    )
+    labels: MutableMapping[str, str] = proto.MapField(
+        proto.STRING,
+        proto.STRING,
+        number=8,
+    )
+    trigger_spec: TriggerSpec = proto.Field(
+        proto.MESSAGE,
+        number=100,
+        message=TriggerSpec,
+    )
+    execution_spec: ExecutionSpec = proto.Field(
+        proto.MESSAGE,
+        number=101,
+        message=ExecutionSpec,
+    )
+    execution_status: ExecutionStatus = proto.Field(
+        proto.MESSAGE,
+        number=201,
+        message=ExecutionStatus,
+    )
+    spark: SparkTaskConfig = proto.Field(
+        proto.MESSAGE,
+        number=300,
+        oneof='config',
+        message=SparkTaskConfig,
+    )
+    notebook: NotebookTaskConfig = proto.Field(
+        proto.MESSAGE,
+        number=302,
+        oneof='config',
+        message=NotebookTaskConfig,
+    )
+
+
+class Job(proto.Message):
+    r"""A job represents an instance of a task.
+
+    Attributes:
+        name (str):
+            Output only. The relative resource name of the job, of the
+            form:
+            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/tasks/{task_id}/jobs/{job_id}``.
+        uid (str):
+            Output only. System generated globally unique
+            ID for the job.
+        start_time (google.protobuf.timestamp_pb2.Timestamp):
+            Output only. The time when the job was
+            started.
+        end_time (google.protobuf.timestamp_pb2.Timestamp):
+            Output only. The time when the job ended.
+        state (google.cloud.dataplex_v1.types.Job.State):
+            Output only. Execution state for the job.
+        retry_count (int):
+            Output only. The number of times the job has
+            been retried (excluding the initial attempt).
+        service (google.cloud.dataplex_v1.types.Job.Service):
+            Output only. The underlying service running a
+            job.
+        service_job (str):
+            Output only. The full resource name for the
+            job run under a particular service.
+        message (str):
+            Output only. Additional information about the
+            current state.
+        labels (MutableMapping[str, str]):
+            Output only. User-defined labels for the
+            task.
+        trigger (google.cloud.dataplex_v1.types.Job.Trigger):
+            Output only. Job execution trigger.
+        execution_spec (google.cloud.dataplex_v1.types.Task.ExecutionSpec):
+            Output only. Spec related to how a task is
+            executed.
+    """
+    class Service(proto.Enum):
+        r"""
+
+        Values:
+            SERVICE_UNSPECIFIED (0):
+                Service used to run the job is unspecified.
+            DATAPROC (1):
+                Dataproc service is used to run this job.
+        """
+        SERVICE_UNSPECIFIED = 0
+        DATAPROC = 1
+
+    class State(proto.Enum):
+        r"""
+
+        Values:
+            STATE_UNSPECIFIED (0):
+                The job state is unknown.
+            RUNNING (1):
+                The job is running.
+            CANCELLING (2):
+                The job is cancelling.
+            CANCELLED (3):
+                The job cancellation was successful.
+            SUCCEEDED (4):
+                The job completed successfully.
+            FAILED (5):
+                The job is no longer running due to an error.
+            ABORTED (6):
+                The job was cancelled outside of Dataplex.
+        """
+        STATE_UNSPECIFIED = 0
+        RUNNING = 1
+        CANCELLING = 2
+        CANCELLED = 3
+        SUCCEEDED = 4
+        FAILED = 5
+        ABORTED = 6
+
+    class Trigger(proto.Enum):
+        r"""Job execution trigger.
+
+        Values:
+            TRIGGER_UNSPECIFIED (0):
+                The trigger is unspecified.
+            TASK_CONFIG (1):
+                The job was triggered by Dataplex based on
+                trigger spec from task definition.
+            RUN_REQUEST (2):
+                The job was triggered by the explicit call of
+                Task API.
+        """
+        TRIGGER_UNSPECIFIED = 0
+        TASK_CONFIG = 1
+        RUN_REQUEST = 2
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    uid: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+    start_time: timestamp_pb2.Timestamp = proto.Field(
+        proto.MESSAGE,
+        number=3,
+        message=timestamp_pb2.Timestamp,
+    )
+    end_time: timestamp_pb2.Timestamp = proto.Field(
+        proto.MESSAGE,
+        number=4,
+        message=timestamp_pb2.Timestamp,
+    )
+    state: State = proto.Field(
+        proto.ENUM,
+        number=5,
+        enum=State,
+    )
+    retry_count: int = proto.Field(
+        proto.UINT32,
+        number=6,
+    )
+    service: Service = proto.Field(
+        proto.ENUM,
+        number=7,
+        enum=Service,
+    )
+    service_job: str = proto.Field(
+        proto.STRING,
+        number=8,
+    )
+    message: str = proto.Field(
+        proto.STRING,
+        number=9,
+    )
+    labels: MutableMapping[str, str] = proto.MapField(
+        proto.STRING,
+        proto.STRING,
+        number=10,
+    )
+    trigger: Trigger = proto.Field(
+        proto.ENUM,
+        number=11,
+        enum=Trigger,
+    )
+    execution_spec: 'Task.ExecutionSpec' = proto.Field(
+        proto.MESSAGE,
+        number=100,
+        message='Task.ExecutionSpec',
+    )
+
+
+__all__ = tuple(sorted(__protobuf__.manifest))
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/mypy.ini b/owl-bot-staging/google-cloud-dataplex/v1/mypy.ini
new file mode 100644
index 000000000000..574c5aed394b
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/mypy.ini
@@ -0,0 +1,3 @@
+[mypy]
+python_version = 3.7
+namespace_packages = True
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/noxfile.py b/owl-bot-staging/google-cloud-dataplex/v1/noxfile.py
new file mode 100644
index 000000000000..a1ad2c6fe6c7
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/noxfile.py
@@ -0,0 +1,280 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+import os
+import pathlib
+import re
+import shutil
+import subprocess
+import sys
+
+
+import nox  # type: ignore
+
+ALL_PYTHON = [
+    "3.7",
+    "3.8",
+    "3.9",
+    "3.10",
+    "3.11",
+    "3.12",
+    "3.13",
+]
+
+CURRENT_DIRECTORY = pathlib.Path(__file__).parent.absolute()
+
+LOWER_BOUND_CONSTRAINTS_FILE = CURRENT_DIRECTORY / "constraints.txt"
+PACKAGE_NAME = 'google-cloud-dataplex'
+
+BLACK_VERSION = "black==22.3.0"
+BLACK_PATHS = ["docs", "google", "tests", "samples", "noxfile.py", "setup.py"]
+DEFAULT_PYTHON_VERSION = "3.13"
+
+nox.sessions = [
+    "unit",
+    "cover",
+    "mypy",
+    "check_lower_bounds"
+    # exclude update_lower_bounds from default
+    "docs",
+    "blacken",
+    "lint",
+    "prerelease_deps",
+]
+
+@nox.session(python=ALL_PYTHON)
+@nox.parametrize(
+    "protobuf_implementation",
+    [ "python", "upb", "cpp" ],
+)
+def unit(session, protobuf_implementation):
+    """Run the unit test suite."""
+
+    if protobuf_implementation == "cpp" and session.python in ("3.11", "3.12", "3.13"):
+        session.skip("cpp implementation is not supported in python 3.11+")
+
+    session.install('coverage', 'pytest', 'pytest-cov', 'pytest-asyncio', 'asyncmock; python_version < "3.8"')
+    session.install('-e', '.', "-c", f"testing/constraints-{session.python}.txt")
+
+    # Remove the 'cpp' implementation once support for Protobuf 3.x is dropped.
+    # The 'cpp' implementation requires Protobuf<4.
+    if protobuf_implementation == "cpp":
+        session.install("protobuf<4")
+
+    session.run(
+        'py.test',
+        '--quiet',
+        '--cov=google/cloud/dataplex_v1/',
+        '--cov=tests/',
+        '--cov-config=.coveragerc',
+        '--cov-report=term',
+        '--cov-report=html',
+        os.path.join('tests', 'unit', ''.join(session.posargs)),
+        env={
+            "PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION": protobuf_implementation,
+        },
+    )
+
+@nox.session(python=ALL_PYTHON[-1])
+@nox.parametrize(
+    "protobuf_implementation",
+    [ "python", "upb", "cpp" ],
+)
+def prerelease_deps(session, protobuf_implementation):
+    """Run the unit test suite against pre-release versions of dependencies."""
+
+    if protobuf_implementation == "cpp" and session.python in ("3.11", "3.12", "3.13"):
+        session.skip("cpp implementation is not supported in python 3.11+")
+
+    # Install test environment dependencies
+    session.install('coverage', 'pytest', 'pytest-cov', 'pytest-asyncio', 'asyncmock; python_version < "3.8"')
+
+    # Install the package without dependencies
+    session.install('-e', '.', '--no-deps')
+
+    # We test the minimum dependency versions using the minimum Python
+    # version so the lowest python runtime that we test has a corresponding constraints
+    # file, located at `testing/constraints-<version>-.txt`,  which contains all of the
+    # dependencies and extras.
+    with open(
+        CURRENT_DIRECTORY
+        / "testing"
+        / f"constraints-{ALL_PYTHON[0]}.txt",
+        encoding="utf-8",
+    ) as constraints_file:
+        constraints_text = constraints_file.read()
+
+    # Ignore leading whitespace and comment lines.
+    constraints_deps = [
+        match.group(1)
+        for match in re.finditer(
+            r"^\s*(\S+)(?===\S+)", constraints_text, flags=re.MULTILINE
+        )
+    ]
+
+    session.install(*constraints_deps)
+
+    prerel_deps = [
+        "googleapis-common-protos",
+        "google-api-core",
+        "google-auth",
+        # Exclude grpcio!=1.67.0rc1 which does not support python 3.13
+        "grpcio!=1.67.0rc1",
+        "grpcio-status",
+        "protobuf",
+        "proto-plus",
+    ]
+
+    for dep in prerel_deps:
+        session.install("--pre", "--no-deps", "--upgrade", dep)
+
+    # Remaining dependencies
+    other_deps = [
+        "requests",
+    ]
+    session.install(*other_deps)
+
+    # Print out prerelease package versions
+
+    session.run("python", "-c", "import google.api_core; print(google.api_core.__version__)")
+    session.run("python", "-c", "import google.auth; print(google.auth.__version__)")
+    session.run("python", "-c", "import grpc; print(grpc.__version__)")
+    session.run(
+        "python", "-c", "import google.protobuf; print(google.protobuf.__version__)"
+    )
+    session.run(
+        "python", "-c", "import proto; print(proto.__version__)"
+    )
+
+    session.run(
+        'py.test',
+        '--quiet',
+        '--cov=google/cloud/dataplex_v1/',
+        '--cov=tests/',
+        '--cov-config=.coveragerc',
+        '--cov-report=term',
+        '--cov-report=html',
+        os.path.join('tests', 'unit', ''.join(session.posargs)),
+        env={
+            "PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION": protobuf_implementation,
+        },
+    )
+
+
+@nox.session(python=DEFAULT_PYTHON_VERSION)
+def cover(session):
+    """Run the final coverage report.
+    This outputs the coverage report aggregating coverage from the unit
+    test runs (not system test runs), and then erases coverage data.
+    """
+    session.install("coverage", "pytest-cov")
+    session.run("coverage", "report", "--show-missing", "--fail-under=100")
+
+    session.run("coverage", "erase")
+
+
+@nox.session(python=ALL_PYTHON)
+def mypy(session):
+    """Run the type checker."""
+    session.install(
+        'mypy',
+        'types-requests',
+        'types-protobuf'
+    )
+    session.install('.')
+    session.run(
+        'mypy',
+        '-p',
+        'google',
+    )
+
+
+@nox.session
+def update_lower_bounds(session):
+    """Update lower bounds in constraints.txt to match setup.py"""
+    session.install('google-cloud-testutils')
+    session.install('.')
+
+    session.run(
+        'lower-bound-checker',
+        'update',
+        '--package-name',
+        PACKAGE_NAME,
+        '--constraints-file',
+        str(LOWER_BOUND_CONSTRAINTS_FILE),
+    )
+
+
+@nox.session
+def check_lower_bounds(session):
+    """Check lower bounds in setup.py are reflected in constraints file"""
+    session.install('google-cloud-testutils')
+    session.install('.')
+
+    session.run(
+        'lower-bound-checker',
+        'check',
+        '--package-name',
+        PACKAGE_NAME,
+        '--constraints-file',
+        str(LOWER_BOUND_CONSTRAINTS_FILE),
+    )
+
+@nox.session(python=DEFAULT_PYTHON_VERSION)
+def docs(session):
+    """Build the docs for this library."""
+
+    session.install("-e", ".")
+    session.install("sphinx==7.0.1", "alabaster", "recommonmark")
+
+    shutil.rmtree(os.path.join("docs", "_build"), ignore_errors=True)
+    session.run(
+        "sphinx-build",
+        "-W",  # warnings as errors
+        "-T",  # show full traceback on exception
+        "-N",  # no colors
+        "-b",
+        "html",
+        "-d",
+        os.path.join("docs", "_build", "doctrees", ""),
+        os.path.join("docs", ""),
+        os.path.join("docs", "_build", "html", ""),
+    )
+
+
+@nox.session(python=DEFAULT_PYTHON_VERSION)
+def lint(session):
+    """Run linters.
+
+    Returns a failure if the linters find linting errors or sufficiently
+    serious code quality issues.
+    """
+    session.install("flake8", BLACK_VERSION)
+    session.run(
+        "black",
+        "--check",
+        *BLACK_PATHS,
+    )
+    session.run("flake8", "google", "tests", "samples")
+
+
+@nox.session(python=DEFAULT_PYTHON_VERSION)
+def blacken(session):
+    """Run black. Format code to uniform standard."""
+    session.install(BLACK_VERSION)
+    session.run(
+        "black",
+        *BLACK_PATHS,
+    )
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_cancel_metadata_job_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_cancel_metadata_job_async.py
new file mode 100644
index 000000000000..7490891a58d0
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_cancel_metadata_job_async.py
@@ -0,0 +1,50 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for CancelMetadataJob
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_CatalogService_CancelMetadataJob_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_cancel_metadata_job():
+    # Create a client
+    client = dataplex_v1.CatalogServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.CancelMetadataJobRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    await client.cancel_metadata_job(request=request)
+
+
+# [END dataplex_v1_generated_CatalogService_CancelMetadataJob_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_cancel_metadata_job_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_cancel_metadata_job_sync.py
new file mode 100644
index 000000000000..803f83d5f306
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_cancel_metadata_job_sync.py
@@ -0,0 +1,50 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for CancelMetadataJob
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_CatalogService_CancelMetadataJob_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_cancel_metadata_job():
+    # Create a client
+    client = dataplex_v1.CatalogServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.CancelMetadataJobRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    client.cancel_metadata_job(request=request)
+
+
+# [END dataplex_v1_generated_CatalogService_CancelMetadataJob_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_aspect_type_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_aspect_type_async.py
new file mode 100644
index 000000000000..755b258dfcdc
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_aspect_type_async.py
@@ -0,0 +1,62 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for CreateAspectType
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_CatalogService_CreateAspectType_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_create_aspect_type():
+    # Create a client
+    client = dataplex_v1.CatalogServiceAsyncClient()
+
+    # Initialize request argument(s)
+    aspect_type = dataplex_v1.AspectType()
+    aspect_type.metadata_template.name = "name_value"
+    aspect_type.metadata_template.type_ = "type__value"
+
+    request = dataplex_v1.CreateAspectTypeRequest(
+        parent="parent_value",
+        aspect_type_id="aspect_type_id_value",
+        aspect_type=aspect_type,
+    )
+
+    # Make the request
+    operation = client.create_aspect_type(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = (await operation).result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_CatalogService_CreateAspectType_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_aspect_type_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_aspect_type_sync.py
new file mode 100644
index 000000000000..86dc1d13724d
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_aspect_type_sync.py
@@ -0,0 +1,62 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for CreateAspectType
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_CatalogService_CreateAspectType_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_create_aspect_type():
+    # Create a client
+    client = dataplex_v1.CatalogServiceClient()
+
+    # Initialize request argument(s)
+    aspect_type = dataplex_v1.AspectType()
+    aspect_type.metadata_template.name = "name_value"
+    aspect_type.metadata_template.type_ = "type__value"
+
+    request = dataplex_v1.CreateAspectTypeRequest(
+        parent="parent_value",
+        aspect_type_id="aspect_type_id_value",
+        aspect_type=aspect_type,
+    )
+
+    # Make the request
+    operation = client.create_aspect_type(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = operation.result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_CatalogService_CreateAspectType_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_entry_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_entry_async.py
new file mode 100644
index 000000000000..05e1e13996e8
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_entry_async.py
@@ -0,0 +1,57 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for CreateEntry
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_CatalogService_CreateEntry_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_create_entry():
+    # Create a client
+    client = dataplex_v1.CatalogServiceAsyncClient()
+
+    # Initialize request argument(s)
+    entry = dataplex_v1.Entry()
+    entry.entry_type = "entry_type_value"
+
+    request = dataplex_v1.CreateEntryRequest(
+        parent="parent_value",
+        entry_id="entry_id_value",
+        entry=entry,
+    )
+
+    # Make the request
+    response = await client.create_entry(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_CatalogService_CreateEntry_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_entry_group_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_entry_group_async.py
new file mode 100644
index 000000000000..4ffcdc99175a
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_entry_group_async.py
@@ -0,0 +1,57 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for CreateEntryGroup
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_CatalogService_CreateEntryGroup_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_create_entry_group():
+    # Create a client
+    client = dataplex_v1.CatalogServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.CreateEntryGroupRequest(
+        parent="parent_value",
+        entry_group_id="entry_group_id_value",
+    )
+
+    # Make the request
+    operation = client.create_entry_group(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = (await operation).result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_CatalogService_CreateEntryGroup_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_entry_group_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_entry_group_sync.py
new file mode 100644
index 000000000000..8ce69f86a352
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_entry_group_sync.py
@@ -0,0 +1,57 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for CreateEntryGroup
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_CatalogService_CreateEntryGroup_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_create_entry_group():
+    # Create a client
+    client = dataplex_v1.CatalogServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.CreateEntryGroupRequest(
+        parent="parent_value",
+        entry_group_id="entry_group_id_value",
+    )
+
+    # Make the request
+    operation = client.create_entry_group(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = operation.result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_CatalogService_CreateEntryGroup_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_entry_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_entry_sync.py
new file mode 100644
index 000000000000..a0b18212967b
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_entry_sync.py
@@ -0,0 +1,57 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for CreateEntry
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_CatalogService_CreateEntry_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_create_entry():
+    # Create a client
+    client = dataplex_v1.CatalogServiceClient()
+
+    # Initialize request argument(s)
+    entry = dataplex_v1.Entry()
+    entry.entry_type = "entry_type_value"
+
+    request = dataplex_v1.CreateEntryRequest(
+        parent="parent_value",
+        entry_id="entry_id_value",
+        entry=entry,
+    )
+
+    # Make the request
+    response = client.create_entry(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_CatalogService_CreateEntry_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_entry_type_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_entry_type_async.py
new file mode 100644
index 000000000000..545b7267de18
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_entry_type_async.py
@@ -0,0 +1,57 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for CreateEntryType
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_CatalogService_CreateEntryType_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_create_entry_type():
+    # Create a client
+    client = dataplex_v1.CatalogServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.CreateEntryTypeRequest(
+        parent="parent_value",
+        entry_type_id="entry_type_id_value",
+    )
+
+    # Make the request
+    operation = client.create_entry_type(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = (await operation).result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_CatalogService_CreateEntryType_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_entry_type_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_entry_type_sync.py
new file mode 100644
index 000000000000..6bed1ae44985
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_entry_type_sync.py
@@ -0,0 +1,57 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for CreateEntryType
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_CatalogService_CreateEntryType_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_create_entry_type():
+    # Create a client
+    client = dataplex_v1.CatalogServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.CreateEntryTypeRequest(
+        parent="parent_value",
+        entry_type_id="entry_type_id_value",
+    )
+
+    # Make the request
+    operation = client.create_entry_type(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = operation.result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_CatalogService_CreateEntryType_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_metadata_job_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_metadata_job_async.py
new file mode 100644
index 000000000000..1ecd3586aee7
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_metadata_job_async.py
@@ -0,0 +1,64 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for CreateMetadataJob
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_CatalogService_CreateMetadataJob_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_create_metadata_job():
+    # Create a client
+    client = dataplex_v1.CatalogServiceAsyncClient()
+
+    # Initialize request argument(s)
+    metadata_job = dataplex_v1.MetadataJob()
+    metadata_job.import_spec.scope.entry_groups = ['entry_groups_value1', 'entry_groups_value2']
+    metadata_job.import_spec.scope.entry_types = ['entry_types_value1', 'entry_types_value2']
+    metadata_job.import_spec.entry_sync_mode = "INCREMENTAL"
+    metadata_job.import_spec.aspect_sync_mode = "INCREMENTAL"
+    metadata_job.type_ = "IMPORT"
+
+    request = dataplex_v1.CreateMetadataJobRequest(
+        parent="parent_value",
+        metadata_job=metadata_job,
+    )
+
+    # Make the request
+    operation = client.create_metadata_job(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = (await operation).result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_CatalogService_CreateMetadataJob_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_metadata_job_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_metadata_job_sync.py
new file mode 100644
index 000000000000..022008b13e72
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_metadata_job_sync.py
@@ -0,0 +1,64 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for CreateMetadataJob
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_CatalogService_CreateMetadataJob_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_create_metadata_job():
+    # Create a client
+    client = dataplex_v1.CatalogServiceClient()
+
+    # Initialize request argument(s)
+    metadata_job = dataplex_v1.MetadataJob()
+    metadata_job.import_spec.scope.entry_groups = ['entry_groups_value1', 'entry_groups_value2']
+    metadata_job.import_spec.scope.entry_types = ['entry_types_value1', 'entry_types_value2']
+    metadata_job.import_spec.entry_sync_mode = "INCREMENTAL"
+    metadata_job.import_spec.aspect_sync_mode = "INCREMENTAL"
+    metadata_job.type_ = "IMPORT"
+
+    request = dataplex_v1.CreateMetadataJobRequest(
+        parent="parent_value",
+        metadata_job=metadata_job,
+    )
+
+    # Make the request
+    operation = client.create_metadata_job(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = operation.result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_CatalogService_CreateMetadataJob_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_delete_aspect_type_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_delete_aspect_type_async.py
new file mode 100644
index 000000000000..787280513289
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_delete_aspect_type_async.py
@@ -0,0 +1,56 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for DeleteAspectType
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_CatalogService_DeleteAspectType_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_delete_aspect_type():
+    # Create a client
+    client = dataplex_v1.CatalogServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.DeleteAspectTypeRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    operation = client.delete_aspect_type(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = (await operation).result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_CatalogService_DeleteAspectType_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_delete_aspect_type_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_delete_aspect_type_sync.py
new file mode 100644
index 000000000000..ce89096f240b
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_delete_aspect_type_sync.py
@@ -0,0 +1,56 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for DeleteAspectType
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_CatalogService_DeleteAspectType_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_delete_aspect_type():
+    # Create a client
+    client = dataplex_v1.CatalogServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.DeleteAspectTypeRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    operation = client.delete_aspect_type(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = operation.result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_CatalogService_DeleteAspectType_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_delete_entry_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_delete_entry_async.py
new file mode 100644
index 000000000000..3351c7f53839
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_delete_entry_async.py
@@ -0,0 +1,52 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for DeleteEntry
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_CatalogService_DeleteEntry_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_delete_entry():
+    # Create a client
+    client = dataplex_v1.CatalogServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.DeleteEntryRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    response = await client.delete_entry(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_CatalogService_DeleteEntry_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_delete_entry_group_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_delete_entry_group_async.py
new file mode 100644
index 000000000000..019b3acb22c2
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_delete_entry_group_async.py
@@ -0,0 +1,56 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for DeleteEntryGroup
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_CatalogService_DeleteEntryGroup_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_delete_entry_group():
+    # Create a client
+    client = dataplex_v1.CatalogServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.DeleteEntryGroupRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    operation = client.delete_entry_group(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = (await operation).result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_CatalogService_DeleteEntryGroup_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_delete_entry_group_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_delete_entry_group_sync.py
new file mode 100644
index 000000000000..b7cb7aa70933
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_delete_entry_group_sync.py
@@ -0,0 +1,56 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for DeleteEntryGroup
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_CatalogService_DeleteEntryGroup_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_delete_entry_group():
+    # Create a client
+    client = dataplex_v1.CatalogServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.DeleteEntryGroupRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    operation = client.delete_entry_group(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = operation.result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_CatalogService_DeleteEntryGroup_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_delete_entry_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_delete_entry_sync.py
new file mode 100644
index 000000000000..6c772dc5c765
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_delete_entry_sync.py
@@ -0,0 +1,52 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for DeleteEntry
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_CatalogService_DeleteEntry_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_delete_entry():
+    # Create a client
+    client = dataplex_v1.CatalogServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.DeleteEntryRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    response = client.delete_entry(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_CatalogService_DeleteEntry_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_delete_entry_type_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_delete_entry_type_async.py
new file mode 100644
index 000000000000..666df269d16d
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_delete_entry_type_async.py
@@ -0,0 +1,56 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for DeleteEntryType
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_CatalogService_DeleteEntryType_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_delete_entry_type():
+    # Create a client
+    client = dataplex_v1.CatalogServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.DeleteEntryTypeRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    operation = client.delete_entry_type(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = (await operation).result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_CatalogService_DeleteEntryType_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_delete_entry_type_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_delete_entry_type_sync.py
new file mode 100644
index 000000000000..91f695f2841e
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_delete_entry_type_sync.py
@@ -0,0 +1,56 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for DeleteEntryType
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_CatalogService_DeleteEntryType_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_delete_entry_type():
+    # Create a client
+    client = dataplex_v1.CatalogServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.DeleteEntryTypeRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    operation = client.delete_entry_type(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = operation.result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_CatalogService_DeleteEntryType_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_aspect_type_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_aspect_type_async.py
new file mode 100644
index 000000000000..81d3d81b8f26
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_aspect_type_async.py
@@ -0,0 +1,52 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for GetAspectType
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_CatalogService_GetAspectType_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_get_aspect_type():
+    # Create a client
+    client = dataplex_v1.CatalogServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.GetAspectTypeRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    response = await client.get_aspect_type(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_CatalogService_GetAspectType_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_aspect_type_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_aspect_type_sync.py
new file mode 100644
index 000000000000..2c3b728838b7
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_aspect_type_sync.py
@@ -0,0 +1,52 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for GetAspectType
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_CatalogService_GetAspectType_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_get_aspect_type():
+    # Create a client
+    client = dataplex_v1.CatalogServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.GetAspectTypeRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    response = client.get_aspect_type(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_CatalogService_GetAspectType_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_entry_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_entry_async.py
new file mode 100644
index 000000000000..b996bab77591
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_entry_async.py
@@ -0,0 +1,52 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for GetEntry
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_CatalogService_GetEntry_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_get_entry():
+    # Create a client
+    client = dataplex_v1.CatalogServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.GetEntryRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    response = await client.get_entry(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_CatalogService_GetEntry_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_entry_group_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_entry_group_async.py
new file mode 100644
index 000000000000..e0669aadb927
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_entry_group_async.py
@@ -0,0 +1,52 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for GetEntryGroup
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_CatalogService_GetEntryGroup_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_get_entry_group():
+    # Create a client
+    client = dataplex_v1.CatalogServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.GetEntryGroupRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    response = await client.get_entry_group(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_CatalogService_GetEntryGroup_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_entry_group_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_entry_group_sync.py
new file mode 100644
index 000000000000..95c037a589b6
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_entry_group_sync.py
@@ -0,0 +1,52 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for GetEntryGroup
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_CatalogService_GetEntryGroup_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_get_entry_group():
+    # Create a client
+    client = dataplex_v1.CatalogServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.GetEntryGroupRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    response = client.get_entry_group(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_CatalogService_GetEntryGroup_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_entry_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_entry_sync.py
new file mode 100644
index 000000000000..b53082957bfa
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_entry_sync.py
@@ -0,0 +1,52 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for GetEntry
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_CatalogService_GetEntry_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_get_entry():
+    # Create a client
+    client = dataplex_v1.CatalogServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.GetEntryRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    response = client.get_entry(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_CatalogService_GetEntry_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_entry_type_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_entry_type_async.py
new file mode 100644
index 000000000000..58083a001b8a
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_entry_type_async.py
@@ -0,0 +1,52 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for GetEntryType
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_CatalogService_GetEntryType_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_get_entry_type():
+    # Create a client
+    client = dataplex_v1.CatalogServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.GetEntryTypeRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    response = await client.get_entry_type(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_CatalogService_GetEntryType_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_entry_type_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_entry_type_sync.py
new file mode 100644
index 000000000000..4098fc417a9e
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_entry_type_sync.py
@@ -0,0 +1,52 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for GetEntryType
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_CatalogService_GetEntryType_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_get_entry_type():
+    # Create a client
+    client = dataplex_v1.CatalogServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.GetEntryTypeRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    response = client.get_entry_type(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_CatalogService_GetEntryType_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_metadata_job_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_metadata_job_async.py
new file mode 100644
index 000000000000..144996fdc0c2
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_metadata_job_async.py
@@ -0,0 +1,52 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for GetMetadataJob
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_CatalogService_GetMetadataJob_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_get_metadata_job():
+    # Create a client
+    client = dataplex_v1.CatalogServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.GetMetadataJobRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    response = await client.get_metadata_job(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_CatalogService_GetMetadataJob_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_metadata_job_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_metadata_job_sync.py
new file mode 100644
index 000000000000..f2c032d11d82
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_metadata_job_sync.py
@@ -0,0 +1,52 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for GetMetadataJob
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_CatalogService_GetMetadataJob_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_get_metadata_job():
+    # Create a client
+    client = dataplex_v1.CatalogServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.GetMetadataJobRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    response = client.get_metadata_job(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_CatalogService_GetMetadataJob_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_aspect_types_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_aspect_types_async.py
new file mode 100644
index 000000000000..64778a1cfb7a
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_aspect_types_async.py
@@ -0,0 +1,53 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for ListAspectTypes
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_CatalogService_ListAspectTypes_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_list_aspect_types():
+    # Create a client
+    client = dataplex_v1.CatalogServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.ListAspectTypesRequest(
+        parent="parent_value",
+    )
+
+    # Make the request
+    page_result = client.list_aspect_types(request=request)
+
+    # Handle the response
+    async for response in page_result:
+        print(response)
+
+# [END dataplex_v1_generated_CatalogService_ListAspectTypes_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_aspect_types_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_aspect_types_sync.py
new file mode 100644
index 000000000000..9a8cd1eec4cb
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_aspect_types_sync.py
@@ -0,0 +1,53 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for ListAspectTypes
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_CatalogService_ListAspectTypes_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_list_aspect_types():
+    # Create a client
+    client = dataplex_v1.CatalogServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.ListAspectTypesRequest(
+        parent="parent_value",
+    )
+
+    # Make the request
+    page_result = client.list_aspect_types(request=request)
+
+    # Handle the response
+    for response in page_result:
+        print(response)
+
+# [END dataplex_v1_generated_CatalogService_ListAspectTypes_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_entries_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_entries_async.py
new file mode 100644
index 000000000000..fc611110b8d5
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_entries_async.py
@@ -0,0 +1,53 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for ListEntries
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_CatalogService_ListEntries_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_list_entries():
+    # Create a client
+    client = dataplex_v1.CatalogServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.ListEntriesRequest(
+        parent="parent_value",
+    )
+
+    # Make the request
+    page_result = client.list_entries(request=request)
+
+    # Handle the response
+    async for response in page_result:
+        print(response)
+
+# [END dataplex_v1_generated_CatalogService_ListEntries_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_entries_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_entries_sync.py
new file mode 100644
index 000000000000..faabd3c1cea0
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_entries_sync.py
@@ -0,0 +1,53 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for ListEntries
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_CatalogService_ListEntries_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_list_entries():
+    # Create a client
+    client = dataplex_v1.CatalogServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.ListEntriesRequest(
+        parent="parent_value",
+    )
+
+    # Make the request
+    page_result = client.list_entries(request=request)
+
+    # Handle the response
+    for response in page_result:
+        print(response)
+
+# [END dataplex_v1_generated_CatalogService_ListEntries_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_entry_groups_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_entry_groups_async.py
new file mode 100644
index 000000000000..91a2ad641c95
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_entry_groups_async.py
@@ -0,0 +1,53 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for ListEntryGroups
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_CatalogService_ListEntryGroups_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_list_entry_groups():
+    # Create a client
+    client = dataplex_v1.CatalogServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.ListEntryGroupsRequest(
+        parent="parent_value",
+    )
+
+    # Make the request
+    page_result = client.list_entry_groups(request=request)
+
+    # Handle the response
+    async for response in page_result:
+        print(response)
+
+# [END dataplex_v1_generated_CatalogService_ListEntryGroups_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_entry_groups_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_entry_groups_sync.py
new file mode 100644
index 000000000000..61cade3ceec3
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_entry_groups_sync.py
@@ -0,0 +1,53 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for ListEntryGroups
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_CatalogService_ListEntryGroups_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_list_entry_groups():
+    # Create a client
+    client = dataplex_v1.CatalogServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.ListEntryGroupsRequest(
+        parent="parent_value",
+    )
+
+    # Make the request
+    page_result = client.list_entry_groups(request=request)
+
+    # Handle the response
+    for response in page_result:
+        print(response)
+
+# [END dataplex_v1_generated_CatalogService_ListEntryGroups_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_entry_types_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_entry_types_async.py
new file mode 100644
index 000000000000..a85ebb571be1
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_entry_types_async.py
@@ -0,0 +1,53 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for ListEntryTypes
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_CatalogService_ListEntryTypes_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_list_entry_types():
+    # Create a client
+    client = dataplex_v1.CatalogServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.ListEntryTypesRequest(
+        parent="parent_value",
+    )
+
+    # Make the request
+    page_result = client.list_entry_types(request=request)
+
+    # Handle the response
+    async for response in page_result:
+        print(response)
+
+# [END dataplex_v1_generated_CatalogService_ListEntryTypes_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_entry_types_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_entry_types_sync.py
new file mode 100644
index 000000000000..f0fff3cc52c9
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_entry_types_sync.py
@@ -0,0 +1,53 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for ListEntryTypes
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_CatalogService_ListEntryTypes_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_list_entry_types():
+    # Create a client
+    client = dataplex_v1.CatalogServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.ListEntryTypesRequest(
+        parent="parent_value",
+    )
+
+    # Make the request
+    page_result = client.list_entry_types(request=request)
+
+    # Handle the response
+    for response in page_result:
+        print(response)
+
+# [END dataplex_v1_generated_CatalogService_ListEntryTypes_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_metadata_jobs_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_metadata_jobs_async.py
new file mode 100644
index 000000000000..8d07e30862df
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_metadata_jobs_async.py
@@ -0,0 +1,53 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for ListMetadataJobs
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_CatalogService_ListMetadataJobs_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_list_metadata_jobs():
+    # Create a client
+    client = dataplex_v1.CatalogServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.ListMetadataJobsRequest(
+        parent="parent_value",
+    )
+
+    # Make the request
+    page_result = client.list_metadata_jobs(request=request)
+
+    # Handle the response
+    async for response in page_result:
+        print(response)
+
+# [END dataplex_v1_generated_CatalogService_ListMetadataJobs_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_metadata_jobs_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_metadata_jobs_sync.py
new file mode 100644
index 000000000000..7c5043546f57
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_metadata_jobs_sync.py
@@ -0,0 +1,53 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for ListMetadataJobs
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_CatalogService_ListMetadataJobs_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_list_metadata_jobs():
+    # Create a client
+    client = dataplex_v1.CatalogServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.ListMetadataJobsRequest(
+        parent="parent_value",
+    )
+
+    # Make the request
+    page_result = client.list_metadata_jobs(request=request)
+
+    # Handle the response
+    for response in page_result:
+        print(response)
+
+# [END dataplex_v1_generated_CatalogService_ListMetadataJobs_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_lookup_entry_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_lookup_entry_async.py
new file mode 100644
index 000000000000..4b90f27553bb
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_lookup_entry_async.py
@@ -0,0 +1,53 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for LookupEntry
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_CatalogService_LookupEntry_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_lookup_entry():
+    # Create a client
+    client = dataplex_v1.CatalogServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.LookupEntryRequest(
+        name="name_value",
+        entry="entry_value",
+    )
+
+    # Make the request
+    response = await client.lookup_entry(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_CatalogService_LookupEntry_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_lookup_entry_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_lookup_entry_sync.py
new file mode 100644
index 000000000000..0a1d7dfbd187
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_lookup_entry_sync.py
@@ -0,0 +1,53 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for LookupEntry
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_CatalogService_LookupEntry_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_lookup_entry():
+    # Create a client
+    client = dataplex_v1.CatalogServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.LookupEntryRequest(
+        name="name_value",
+        entry="entry_value",
+    )
+
+    # Make the request
+    response = client.lookup_entry(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_CatalogService_LookupEntry_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_search_entries_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_search_entries_async.py
new file mode 100644
index 000000000000..9115fb45d14b
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_search_entries_async.py
@@ -0,0 +1,54 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for SearchEntries
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_CatalogService_SearchEntries_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_search_entries():
+    # Create a client
+    client = dataplex_v1.CatalogServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.SearchEntriesRequest(
+        name="name_value",
+        query="query_value",
+    )
+
+    # Make the request
+    page_result = client.search_entries(request=request)
+
+    # Handle the response
+    async for response in page_result:
+        print(response)
+
+# [END dataplex_v1_generated_CatalogService_SearchEntries_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_search_entries_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_search_entries_sync.py
new file mode 100644
index 000000000000..adc2a58f4e3d
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_search_entries_sync.py
@@ -0,0 +1,54 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for SearchEntries
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_CatalogService_SearchEntries_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_search_entries():
+    # Create a client
+    client = dataplex_v1.CatalogServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.SearchEntriesRequest(
+        name="name_value",
+        query="query_value",
+    )
+
+    # Make the request
+    page_result = client.search_entries(request=request)
+
+    # Handle the response
+    for response in page_result:
+        print(response)
+
+# [END dataplex_v1_generated_CatalogService_SearchEntries_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_update_aspect_type_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_update_aspect_type_async.py
new file mode 100644
index 000000000000..4d5cbf23aadc
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_update_aspect_type_async.py
@@ -0,0 +1,60 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for UpdateAspectType
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_CatalogService_UpdateAspectType_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_update_aspect_type():
+    # Create a client
+    client = dataplex_v1.CatalogServiceAsyncClient()
+
+    # Initialize request argument(s)
+    aspect_type = dataplex_v1.AspectType()
+    aspect_type.metadata_template.name = "name_value"
+    aspect_type.metadata_template.type_ = "type__value"
+
+    request = dataplex_v1.UpdateAspectTypeRequest(
+        aspect_type=aspect_type,
+    )
+
+    # Make the request
+    operation = client.update_aspect_type(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = (await operation).result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_CatalogService_UpdateAspectType_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_update_aspect_type_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_update_aspect_type_sync.py
new file mode 100644
index 000000000000..9408a61c68e2
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_update_aspect_type_sync.py
@@ -0,0 +1,60 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for UpdateAspectType
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_CatalogService_UpdateAspectType_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_update_aspect_type():
+    # Create a client
+    client = dataplex_v1.CatalogServiceClient()
+
+    # Initialize request argument(s)
+    aspect_type = dataplex_v1.AspectType()
+    aspect_type.metadata_template.name = "name_value"
+    aspect_type.metadata_template.type_ = "type__value"
+
+    request = dataplex_v1.UpdateAspectTypeRequest(
+        aspect_type=aspect_type,
+    )
+
+    # Make the request
+    operation = client.update_aspect_type(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = operation.result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_CatalogService_UpdateAspectType_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_update_entry_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_update_entry_async.py
new file mode 100644
index 000000000000..e88986c399d6
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_update_entry_async.py
@@ -0,0 +1,55 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for UpdateEntry
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_CatalogService_UpdateEntry_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_update_entry():
+    # Create a client
+    client = dataplex_v1.CatalogServiceAsyncClient()
+
+    # Initialize request argument(s)
+    entry = dataplex_v1.Entry()
+    entry.entry_type = "entry_type_value"
+
+    request = dataplex_v1.UpdateEntryRequest(
+        entry=entry,
+    )
+
+    # Make the request
+    response = await client.update_entry(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_CatalogService_UpdateEntry_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_update_entry_group_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_update_entry_group_async.py
new file mode 100644
index 000000000000..f8e0716939f9
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_update_entry_group_async.py
@@ -0,0 +1,55 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for UpdateEntryGroup
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_CatalogService_UpdateEntryGroup_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_update_entry_group():
+    # Create a client
+    client = dataplex_v1.CatalogServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.UpdateEntryGroupRequest(
+    )
+
+    # Make the request
+    operation = client.update_entry_group(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = (await operation).result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_CatalogService_UpdateEntryGroup_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_update_entry_group_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_update_entry_group_sync.py
new file mode 100644
index 000000000000..482e9db7a27f
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_update_entry_group_sync.py
@@ -0,0 +1,55 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for UpdateEntryGroup
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_CatalogService_UpdateEntryGroup_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_update_entry_group():
+    # Create a client
+    client = dataplex_v1.CatalogServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.UpdateEntryGroupRequest(
+    )
+
+    # Make the request
+    operation = client.update_entry_group(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = operation.result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_CatalogService_UpdateEntryGroup_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_update_entry_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_update_entry_sync.py
new file mode 100644
index 000000000000..69fde35c3515
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_update_entry_sync.py
@@ -0,0 +1,55 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for UpdateEntry
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_CatalogService_UpdateEntry_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_update_entry():
+    # Create a client
+    client = dataplex_v1.CatalogServiceClient()
+
+    # Initialize request argument(s)
+    entry = dataplex_v1.Entry()
+    entry.entry_type = "entry_type_value"
+
+    request = dataplex_v1.UpdateEntryRequest(
+        entry=entry,
+    )
+
+    # Make the request
+    response = client.update_entry(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_CatalogService_UpdateEntry_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_update_entry_type_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_update_entry_type_async.py
new file mode 100644
index 000000000000..6fc55c02c3ab
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_update_entry_type_async.py
@@ -0,0 +1,55 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for UpdateEntryType
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_CatalogService_UpdateEntryType_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_update_entry_type():
+    # Create a client
+    client = dataplex_v1.CatalogServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.UpdateEntryTypeRequest(
+    )
+
+    # Make the request
+    operation = client.update_entry_type(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = (await operation).result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_CatalogService_UpdateEntryType_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_update_entry_type_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_update_entry_type_sync.py
new file mode 100644
index 000000000000..2f240368f075
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_update_entry_type_sync.py
@@ -0,0 +1,55 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for UpdateEntryType
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_CatalogService_UpdateEntryType_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_update_entry_type():
+    # Create a client
+    client = dataplex_v1.CatalogServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.UpdateEntryTypeRequest(
+    )
+
+    # Make the request
+    operation = client.update_entry_type(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = operation.result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_CatalogService_UpdateEntryType_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_create_content_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_create_content_async.py
new file mode 100644
index 000000000000..353f1664db39
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_create_content_async.py
@@ -0,0 +1,58 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for CreateContent
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_ContentService_CreateContent_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_create_content():
+    # Create a client
+    client = dataplex_v1.ContentServiceAsyncClient()
+
+    # Initialize request argument(s)
+    content = dataplex_v1.Content()
+    content.data_text = "data_text_value"
+    content.sql_script.engine = "SPARK"
+    content.path = "path_value"
+
+    request = dataplex_v1.CreateContentRequest(
+        parent="parent_value",
+        content=content,
+    )
+
+    # Make the request
+    response = await client.create_content(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_ContentService_CreateContent_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_create_content_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_create_content_sync.py
new file mode 100644
index 000000000000..80aa3386d3ae
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_create_content_sync.py
@@ -0,0 +1,58 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for CreateContent
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_ContentService_CreateContent_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_create_content():
+    # Create a client
+    client = dataplex_v1.ContentServiceClient()
+
+    # Initialize request argument(s)
+    content = dataplex_v1.Content()
+    content.data_text = "data_text_value"
+    content.sql_script.engine = "SPARK"
+    content.path = "path_value"
+
+    request = dataplex_v1.CreateContentRequest(
+        parent="parent_value",
+        content=content,
+    )
+
+    # Make the request
+    response = client.create_content(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_ContentService_CreateContent_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_delete_content_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_delete_content_async.py
new file mode 100644
index 000000000000..195baf10d664
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_delete_content_async.py
@@ -0,0 +1,50 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for DeleteContent
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_ContentService_DeleteContent_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_delete_content():
+    # Create a client
+    client = dataplex_v1.ContentServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.DeleteContentRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    await client.delete_content(request=request)
+
+
+# [END dataplex_v1_generated_ContentService_DeleteContent_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_delete_content_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_delete_content_sync.py
new file mode 100644
index 000000000000..c56872e3a3f1
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_delete_content_sync.py
@@ -0,0 +1,50 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for DeleteContent
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_ContentService_DeleteContent_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_delete_content():
+    # Create a client
+    client = dataplex_v1.ContentServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.DeleteContentRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    client.delete_content(request=request)
+
+
+# [END dataplex_v1_generated_ContentService_DeleteContent_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_get_content_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_get_content_async.py
new file mode 100644
index 000000000000..3c82c57a70ad
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_get_content_async.py
@@ -0,0 +1,52 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for GetContent
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_ContentService_GetContent_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_get_content():
+    # Create a client
+    client = dataplex_v1.ContentServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.GetContentRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    response = await client.get_content(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_ContentService_GetContent_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_get_content_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_get_content_sync.py
new file mode 100644
index 000000000000..dc25faccfde3
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_get_content_sync.py
@@ -0,0 +1,52 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for GetContent
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_ContentService_GetContent_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_get_content():
+    # Create a client
+    client = dataplex_v1.ContentServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.GetContentRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    response = client.get_content(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_ContentService_GetContent_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_get_iam_policy_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_get_iam_policy_async.py
new file mode 100644
index 000000000000..b9f3c8d527cf
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_get_iam_policy_async.py
@@ -0,0 +1,53 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for GetIamPolicy
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_ContentService_GetIamPolicy_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+from google.iam.v1 import iam_policy_pb2  # type: ignore
+
+
+async def sample_get_iam_policy():
+    # Create a client
+    client = dataplex_v1.ContentServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = iam_policy_pb2.GetIamPolicyRequest(
+        resource="resource_value",
+    )
+
+    # Make the request
+    response = await client.get_iam_policy(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_ContentService_GetIamPolicy_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_get_iam_policy_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_get_iam_policy_sync.py
new file mode 100644
index 000000000000..1b6ca2879922
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_get_iam_policy_sync.py
@@ -0,0 +1,53 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for GetIamPolicy
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_ContentService_GetIamPolicy_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+from google.iam.v1 import iam_policy_pb2  # type: ignore
+
+
+def sample_get_iam_policy():
+    # Create a client
+    client = dataplex_v1.ContentServiceClient()
+
+    # Initialize request argument(s)
+    request = iam_policy_pb2.GetIamPolicyRequest(
+        resource="resource_value",
+    )
+
+    # Make the request
+    response = client.get_iam_policy(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_ContentService_GetIamPolicy_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_list_content_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_list_content_async.py
new file mode 100644
index 000000000000..1d591e9fc2c6
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_list_content_async.py
@@ -0,0 +1,53 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for ListContent
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_ContentService_ListContent_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_list_content():
+    # Create a client
+    client = dataplex_v1.ContentServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.ListContentRequest(
+        parent="parent_value",
+    )
+
+    # Make the request
+    page_result = client.list_content(request=request)
+
+    # Handle the response
+    async for response in page_result:
+        print(response)
+
+# [END dataplex_v1_generated_ContentService_ListContent_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_list_content_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_list_content_sync.py
new file mode 100644
index 000000000000..ad07990ff1ce
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_list_content_sync.py
@@ -0,0 +1,53 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for ListContent
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_ContentService_ListContent_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_list_content():
+    # Create a client
+    client = dataplex_v1.ContentServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.ListContentRequest(
+        parent="parent_value",
+    )
+
+    # Make the request
+    page_result = client.list_content(request=request)
+
+    # Handle the response
+    for response in page_result:
+        print(response)
+
+# [END dataplex_v1_generated_ContentService_ListContent_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_set_iam_policy_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_set_iam_policy_async.py
new file mode 100644
index 000000000000..c85e40228b20
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_set_iam_policy_async.py
@@ -0,0 +1,53 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for SetIamPolicy
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_ContentService_SetIamPolicy_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+from google.iam.v1 import iam_policy_pb2  # type: ignore
+
+
+async def sample_set_iam_policy():
+    # Create a client
+    client = dataplex_v1.ContentServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = iam_policy_pb2.SetIamPolicyRequest(
+        resource="resource_value",
+    )
+
+    # Make the request
+    response = await client.set_iam_policy(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_ContentService_SetIamPolicy_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_set_iam_policy_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_set_iam_policy_sync.py
new file mode 100644
index 000000000000..be43e3cb4138
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_set_iam_policy_sync.py
@@ -0,0 +1,53 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for SetIamPolicy
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_ContentService_SetIamPolicy_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+from google.iam.v1 import iam_policy_pb2  # type: ignore
+
+
+def sample_set_iam_policy():
+    # Create a client
+    client = dataplex_v1.ContentServiceClient()
+
+    # Initialize request argument(s)
+    request = iam_policy_pb2.SetIamPolicyRequest(
+        resource="resource_value",
+    )
+
+    # Make the request
+    response = client.set_iam_policy(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_ContentService_SetIamPolicy_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_test_iam_permissions_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_test_iam_permissions_async.py
new file mode 100644
index 000000000000..f7791f437bd3
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_test_iam_permissions_async.py
@@ -0,0 +1,54 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for TestIamPermissions
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_ContentService_TestIamPermissions_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+from google.iam.v1 import iam_policy_pb2  # type: ignore
+
+
+async def sample_test_iam_permissions():
+    # Create a client
+    client = dataplex_v1.ContentServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = iam_policy_pb2.TestIamPermissionsRequest(
+        resource="resource_value",
+        permissions=['permissions_value1', 'permissions_value2'],
+    )
+
+    # Make the request
+    response = await client.test_iam_permissions(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_ContentService_TestIamPermissions_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_test_iam_permissions_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_test_iam_permissions_sync.py
new file mode 100644
index 000000000000..6133c0d7cf57
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_test_iam_permissions_sync.py
@@ -0,0 +1,54 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for TestIamPermissions
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_ContentService_TestIamPermissions_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+from google.iam.v1 import iam_policy_pb2  # type: ignore
+
+
+def sample_test_iam_permissions():
+    # Create a client
+    client = dataplex_v1.ContentServiceClient()
+
+    # Initialize request argument(s)
+    request = iam_policy_pb2.TestIamPermissionsRequest(
+        resource="resource_value",
+        permissions=['permissions_value1', 'permissions_value2'],
+    )
+
+    # Make the request
+    response = client.test_iam_permissions(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_ContentService_TestIamPermissions_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_update_content_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_update_content_async.py
new file mode 100644
index 000000000000..bef234c8b411
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_update_content_async.py
@@ -0,0 +1,57 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for UpdateContent
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_ContentService_UpdateContent_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_update_content():
+    # Create a client
+    client = dataplex_v1.ContentServiceAsyncClient()
+
+    # Initialize request argument(s)
+    content = dataplex_v1.Content()
+    content.data_text = "data_text_value"
+    content.sql_script.engine = "SPARK"
+    content.path = "path_value"
+
+    request = dataplex_v1.UpdateContentRequest(
+        content=content,
+    )
+
+    # Make the request
+    response = await client.update_content(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_ContentService_UpdateContent_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_update_content_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_update_content_sync.py
new file mode 100644
index 000000000000..5883d944b68c
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_update_content_sync.py
@@ -0,0 +1,57 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for UpdateContent
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_ContentService_UpdateContent_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_update_content():
+    # Create a client
+    client = dataplex_v1.ContentServiceClient()
+
+    # Initialize request argument(s)
+    content = dataplex_v1.Content()
+    content.data_text = "data_text_value"
+    content.sql_script.engine = "SPARK"
+    content.path = "path_value"
+
+    request = dataplex_v1.UpdateContentRequest(
+        content=content,
+    )
+
+    # Make the request
+    response = client.update_content(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_ContentService_UpdateContent_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_create_data_scan_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_create_data_scan_async.py
new file mode 100644
index 000000000000..21651df34ae5
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_create_data_scan_async.py
@@ -0,0 +1,62 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for CreateDataScan
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataScanService_CreateDataScan_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_create_data_scan():
+    # Create a client
+    client = dataplex_v1.DataScanServiceAsyncClient()
+
+    # Initialize request argument(s)
+    data_scan = dataplex_v1.DataScan()
+    data_scan.data_quality_spec.rules.dimension = "dimension_value"
+    data_scan.data.entity = "entity_value"
+
+    request = dataplex_v1.CreateDataScanRequest(
+        parent="parent_value",
+        data_scan=data_scan,
+        data_scan_id="data_scan_id_value",
+    )
+
+    # Make the request
+    operation = client.create_data_scan(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = (await operation).result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataScanService_CreateDataScan_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_create_data_scan_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_create_data_scan_sync.py
new file mode 100644
index 000000000000..77776f6960df
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_create_data_scan_sync.py
@@ -0,0 +1,62 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for CreateDataScan
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataScanService_CreateDataScan_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_create_data_scan():
+    # Create a client
+    client = dataplex_v1.DataScanServiceClient()
+
+    # Initialize request argument(s)
+    data_scan = dataplex_v1.DataScan()
+    data_scan.data_quality_spec.rules.dimension = "dimension_value"
+    data_scan.data.entity = "entity_value"
+
+    request = dataplex_v1.CreateDataScanRequest(
+        parent="parent_value",
+        data_scan=data_scan,
+        data_scan_id="data_scan_id_value",
+    )
+
+    # Make the request
+    operation = client.create_data_scan(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = operation.result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataScanService_CreateDataScan_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_delete_data_scan_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_delete_data_scan_async.py
new file mode 100644
index 000000000000..06728d347dcc
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_delete_data_scan_async.py
@@ -0,0 +1,56 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for DeleteDataScan
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataScanService_DeleteDataScan_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_delete_data_scan():
+    # Create a client
+    client = dataplex_v1.DataScanServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.DeleteDataScanRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    operation = client.delete_data_scan(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = (await operation).result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataScanService_DeleteDataScan_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_delete_data_scan_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_delete_data_scan_sync.py
new file mode 100644
index 000000000000..d3b6b57e56cc
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_delete_data_scan_sync.py
@@ -0,0 +1,56 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for DeleteDataScan
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataScanService_DeleteDataScan_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_delete_data_scan():
+    # Create a client
+    client = dataplex_v1.DataScanServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.DeleteDataScanRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    operation = client.delete_data_scan(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = operation.result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataScanService_DeleteDataScan_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_generate_data_quality_rules_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_generate_data_quality_rules_async.py
new file mode 100644
index 000000000000..cb75e6e697af
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_generate_data_quality_rules_async.py
@@ -0,0 +1,52 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for GenerateDataQualityRules
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataScanService_GenerateDataQualityRules_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_generate_data_quality_rules():
+    # Create a client
+    client = dataplex_v1.DataScanServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.GenerateDataQualityRulesRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    response = await client.generate_data_quality_rules(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataScanService_GenerateDataQualityRules_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_generate_data_quality_rules_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_generate_data_quality_rules_sync.py
new file mode 100644
index 000000000000..ad0deadc75f9
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_generate_data_quality_rules_sync.py
@@ -0,0 +1,52 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for GenerateDataQualityRules
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataScanService_GenerateDataQualityRules_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_generate_data_quality_rules():
+    # Create a client
+    client = dataplex_v1.DataScanServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.GenerateDataQualityRulesRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    response = client.generate_data_quality_rules(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataScanService_GenerateDataQualityRules_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_get_data_scan_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_get_data_scan_async.py
new file mode 100644
index 000000000000..676de83d3706
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_get_data_scan_async.py
@@ -0,0 +1,52 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for GetDataScan
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataScanService_GetDataScan_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_get_data_scan():
+    # Create a client
+    client = dataplex_v1.DataScanServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.GetDataScanRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    response = await client.get_data_scan(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataScanService_GetDataScan_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_get_data_scan_job_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_get_data_scan_job_async.py
new file mode 100644
index 000000000000..e835b0ca591a
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_get_data_scan_job_async.py
@@ -0,0 +1,52 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for GetDataScanJob
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataScanService_GetDataScanJob_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_get_data_scan_job():
+    # Create a client
+    client = dataplex_v1.DataScanServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.GetDataScanJobRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    response = await client.get_data_scan_job(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataScanService_GetDataScanJob_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_get_data_scan_job_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_get_data_scan_job_sync.py
new file mode 100644
index 000000000000..bddec8d6189d
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_get_data_scan_job_sync.py
@@ -0,0 +1,52 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for GetDataScanJob
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataScanService_GetDataScanJob_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_get_data_scan_job():
+    # Create a client
+    client = dataplex_v1.DataScanServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.GetDataScanJobRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    response = client.get_data_scan_job(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataScanService_GetDataScanJob_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_get_data_scan_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_get_data_scan_sync.py
new file mode 100644
index 000000000000..fe36809dbf5b
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_get_data_scan_sync.py
@@ -0,0 +1,52 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for GetDataScan
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataScanService_GetDataScan_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_get_data_scan():
+    # Create a client
+    client = dataplex_v1.DataScanServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.GetDataScanRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    response = client.get_data_scan(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataScanService_GetDataScan_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_list_data_scan_jobs_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_list_data_scan_jobs_async.py
new file mode 100644
index 000000000000..9232f30a6311
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_list_data_scan_jobs_async.py
@@ -0,0 +1,53 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for ListDataScanJobs
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataScanService_ListDataScanJobs_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_list_data_scan_jobs():
+    # Create a client
+    client = dataplex_v1.DataScanServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.ListDataScanJobsRequest(
+        parent="parent_value",
+    )
+
+    # Make the request
+    page_result = client.list_data_scan_jobs(request=request)
+
+    # Handle the response
+    async for response in page_result:
+        print(response)
+
+# [END dataplex_v1_generated_DataScanService_ListDataScanJobs_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_list_data_scan_jobs_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_list_data_scan_jobs_sync.py
new file mode 100644
index 000000000000..e7cb0443ec86
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_list_data_scan_jobs_sync.py
@@ -0,0 +1,53 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for ListDataScanJobs
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataScanService_ListDataScanJobs_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_list_data_scan_jobs():
+    # Create a client
+    client = dataplex_v1.DataScanServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.ListDataScanJobsRequest(
+        parent="parent_value",
+    )
+
+    # Make the request
+    page_result = client.list_data_scan_jobs(request=request)
+
+    # Handle the response
+    for response in page_result:
+        print(response)
+
+# [END dataplex_v1_generated_DataScanService_ListDataScanJobs_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_list_data_scans_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_list_data_scans_async.py
new file mode 100644
index 000000000000..51b2f86cfdd9
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_list_data_scans_async.py
@@ -0,0 +1,53 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for ListDataScans
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataScanService_ListDataScans_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_list_data_scans():
+    # Create a client
+    client = dataplex_v1.DataScanServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.ListDataScansRequest(
+        parent="parent_value",
+    )
+
+    # Make the request
+    page_result = client.list_data_scans(request=request)
+
+    # Handle the response
+    async for response in page_result:
+        print(response)
+
+# [END dataplex_v1_generated_DataScanService_ListDataScans_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_list_data_scans_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_list_data_scans_sync.py
new file mode 100644
index 000000000000..7325c27fda56
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_list_data_scans_sync.py
@@ -0,0 +1,53 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for ListDataScans
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataScanService_ListDataScans_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_list_data_scans():
+    # Create a client
+    client = dataplex_v1.DataScanServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.ListDataScansRequest(
+        parent="parent_value",
+    )
+
+    # Make the request
+    page_result = client.list_data_scans(request=request)
+
+    # Handle the response
+    for response in page_result:
+        print(response)
+
+# [END dataplex_v1_generated_DataScanService_ListDataScans_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_run_data_scan_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_run_data_scan_async.py
new file mode 100644
index 000000000000..98a6b2322fcf
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_run_data_scan_async.py
@@ -0,0 +1,52 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for RunDataScan
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataScanService_RunDataScan_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_run_data_scan():
+    # Create a client
+    client = dataplex_v1.DataScanServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.RunDataScanRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    response = await client.run_data_scan(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataScanService_RunDataScan_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_run_data_scan_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_run_data_scan_sync.py
new file mode 100644
index 000000000000..e895451b7053
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_run_data_scan_sync.py
@@ -0,0 +1,52 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for RunDataScan
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataScanService_RunDataScan_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_run_data_scan():
+    # Create a client
+    client = dataplex_v1.DataScanServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.RunDataScanRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    response = client.run_data_scan(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataScanService_RunDataScan_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_update_data_scan_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_update_data_scan_async.py
new file mode 100644
index 000000000000..124a401a492f
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_update_data_scan_async.py
@@ -0,0 +1,60 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for UpdateDataScan
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataScanService_UpdateDataScan_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_update_data_scan():
+    # Create a client
+    client = dataplex_v1.DataScanServiceAsyncClient()
+
+    # Initialize request argument(s)
+    data_scan = dataplex_v1.DataScan()
+    data_scan.data_quality_spec.rules.dimension = "dimension_value"
+    data_scan.data.entity = "entity_value"
+
+    request = dataplex_v1.UpdateDataScanRequest(
+        data_scan=data_scan,
+    )
+
+    # Make the request
+    operation = client.update_data_scan(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = (await operation).result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataScanService_UpdateDataScan_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_update_data_scan_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_update_data_scan_sync.py
new file mode 100644
index 000000000000..558f26403249
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_update_data_scan_sync.py
@@ -0,0 +1,60 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for UpdateDataScan
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataScanService_UpdateDataScan_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_update_data_scan():
+    # Create a client
+    client = dataplex_v1.DataScanServiceClient()
+
+    # Initialize request argument(s)
+    data_scan = dataplex_v1.DataScan()
+    data_scan.data_quality_spec.rules.dimension = "dimension_value"
+    data_scan.data.entity = "entity_value"
+
+    request = dataplex_v1.UpdateDataScanRequest(
+        data_scan=data_scan,
+    )
+
+    # Make the request
+    operation = client.update_data_scan(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = operation.result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataScanService_UpdateDataScan_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_create_data_attribute_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_create_data_attribute_async.py
new file mode 100644
index 000000000000..a005a033674c
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_create_data_attribute_async.py
@@ -0,0 +1,57 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for CreateDataAttribute
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataTaxonomyService_CreateDataAttribute_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_create_data_attribute():
+    # Create a client
+    client = dataplex_v1.DataTaxonomyServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.CreateDataAttributeRequest(
+        parent="parent_value",
+        data_attribute_id="data_attribute_id_value",
+    )
+
+    # Make the request
+    operation = client.create_data_attribute(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = (await operation).result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataTaxonomyService_CreateDataAttribute_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_create_data_attribute_binding_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_create_data_attribute_binding_async.py
new file mode 100644
index 000000000000..d182498546d6
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_create_data_attribute_binding_async.py
@@ -0,0 +1,61 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for CreateDataAttributeBinding
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataTaxonomyService_CreateDataAttributeBinding_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_create_data_attribute_binding():
+    # Create a client
+    client = dataplex_v1.DataTaxonomyServiceAsyncClient()
+
+    # Initialize request argument(s)
+    data_attribute_binding = dataplex_v1.DataAttributeBinding()
+    data_attribute_binding.resource = "resource_value"
+
+    request = dataplex_v1.CreateDataAttributeBindingRequest(
+        parent="parent_value",
+        data_attribute_binding_id="data_attribute_binding_id_value",
+        data_attribute_binding=data_attribute_binding,
+    )
+
+    # Make the request
+    operation = client.create_data_attribute_binding(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = (await operation).result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataTaxonomyService_CreateDataAttributeBinding_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_create_data_attribute_binding_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_create_data_attribute_binding_sync.py
new file mode 100644
index 000000000000..cab78ee20922
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_create_data_attribute_binding_sync.py
@@ -0,0 +1,61 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for CreateDataAttributeBinding
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataTaxonomyService_CreateDataAttributeBinding_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_create_data_attribute_binding():
+    # Create a client
+    client = dataplex_v1.DataTaxonomyServiceClient()
+
+    # Initialize request argument(s)
+    data_attribute_binding = dataplex_v1.DataAttributeBinding()
+    data_attribute_binding.resource = "resource_value"
+
+    request = dataplex_v1.CreateDataAttributeBindingRequest(
+        parent="parent_value",
+        data_attribute_binding_id="data_attribute_binding_id_value",
+        data_attribute_binding=data_attribute_binding,
+    )
+
+    # Make the request
+    operation = client.create_data_attribute_binding(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = operation.result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataTaxonomyService_CreateDataAttributeBinding_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_create_data_attribute_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_create_data_attribute_sync.py
new file mode 100644
index 000000000000..d560872c9a07
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_create_data_attribute_sync.py
@@ -0,0 +1,57 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for CreateDataAttribute
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataTaxonomyService_CreateDataAttribute_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_create_data_attribute():
+    # Create a client
+    client = dataplex_v1.DataTaxonomyServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.CreateDataAttributeRequest(
+        parent="parent_value",
+        data_attribute_id="data_attribute_id_value",
+    )
+
+    # Make the request
+    operation = client.create_data_attribute(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = operation.result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataTaxonomyService_CreateDataAttribute_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_create_data_taxonomy_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_create_data_taxonomy_async.py
new file mode 100644
index 000000000000..1217b679c08e
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_create_data_taxonomy_async.py
@@ -0,0 +1,57 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for CreateDataTaxonomy
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataTaxonomyService_CreateDataTaxonomy_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_create_data_taxonomy():
+    # Create a client
+    client = dataplex_v1.DataTaxonomyServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.CreateDataTaxonomyRequest(
+        parent="parent_value",
+        data_taxonomy_id="data_taxonomy_id_value",
+    )
+
+    # Make the request
+    operation = client.create_data_taxonomy(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = (await operation).result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataTaxonomyService_CreateDataTaxonomy_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_create_data_taxonomy_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_create_data_taxonomy_sync.py
new file mode 100644
index 000000000000..a6978897a170
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_create_data_taxonomy_sync.py
@@ -0,0 +1,57 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for CreateDataTaxonomy
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataTaxonomyService_CreateDataTaxonomy_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_create_data_taxonomy():
+    # Create a client
+    client = dataplex_v1.DataTaxonomyServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.CreateDataTaxonomyRequest(
+        parent="parent_value",
+        data_taxonomy_id="data_taxonomy_id_value",
+    )
+
+    # Make the request
+    operation = client.create_data_taxonomy(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = operation.result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataTaxonomyService_CreateDataTaxonomy_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_delete_data_attribute_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_delete_data_attribute_async.py
new file mode 100644
index 000000000000..22ddcc5604ff
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_delete_data_attribute_async.py
@@ -0,0 +1,56 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for DeleteDataAttribute
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataTaxonomyService_DeleteDataAttribute_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_delete_data_attribute():
+    # Create a client
+    client = dataplex_v1.DataTaxonomyServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.DeleteDataAttributeRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    operation = client.delete_data_attribute(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = (await operation).result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataTaxonomyService_DeleteDataAttribute_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_delete_data_attribute_binding_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_delete_data_attribute_binding_async.py
new file mode 100644
index 000000000000..4576cb8067f2
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_delete_data_attribute_binding_async.py
@@ -0,0 +1,57 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for DeleteDataAttributeBinding
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataTaxonomyService_DeleteDataAttributeBinding_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_delete_data_attribute_binding():
+    # Create a client
+    client = dataplex_v1.DataTaxonomyServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.DeleteDataAttributeBindingRequest(
+        name="name_value",
+        etag="etag_value",
+    )
+
+    # Make the request
+    operation = client.delete_data_attribute_binding(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = (await operation).result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataTaxonomyService_DeleteDataAttributeBinding_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_delete_data_attribute_binding_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_delete_data_attribute_binding_sync.py
new file mode 100644
index 000000000000..84d600eb7954
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_delete_data_attribute_binding_sync.py
@@ -0,0 +1,57 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for DeleteDataAttributeBinding
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataTaxonomyService_DeleteDataAttributeBinding_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_delete_data_attribute_binding():
+    # Create a client
+    client = dataplex_v1.DataTaxonomyServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.DeleteDataAttributeBindingRequest(
+        name="name_value",
+        etag="etag_value",
+    )
+
+    # Make the request
+    operation = client.delete_data_attribute_binding(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = operation.result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataTaxonomyService_DeleteDataAttributeBinding_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_delete_data_attribute_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_delete_data_attribute_sync.py
new file mode 100644
index 000000000000..80ed777ff441
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_delete_data_attribute_sync.py
@@ -0,0 +1,56 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for DeleteDataAttribute
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataTaxonomyService_DeleteDataAttribute_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_delete_data_attribute():
+    # Create a client
+    client = dataplex_v1.DataTaxonomyServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.DeleteDataAttributeRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    operation = client.delete_data_attribute(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = operation.result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataTaxonomyService_DeleteDataAttribute_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_delete_data_taxonomy_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_delete_data_taxonomy_async.py
new file mode 100644
index 000000000000..4c5ef9e4b313
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_delete_data_taxonomy_async.py
@@ -0,0 +1,56 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for DeleteDataTaxonomy
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataTaxonomyService_DeleteDataTaxonomy_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_delete_data_taxonomy():
+    # Create a client
+    client = dataplex_v1.DataTaxonomyServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.DeleteDataTaxonomyRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    operation = client.delete_data_taxonomy(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = (await operation).result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataTaxonomyService_DeleteDataTaxonomy_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_delete_data_taxonomy_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_delete_data_taxonomy_sync.py
new file mode 100644
index 000000000000..08883b505729
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_delete_data_taxonomy_sync.py
@@ -0,0 +1,56 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for DeleteDataTaxonomy
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataTaxonomyService_DeleteDataTaxonomy_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_delete_data_taxonomy():
+    # Create a client
+    client = dataplex_v1.DataTaxonomyServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.DeleteDataTaxonomyRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    operation = client.delete_data_taxonomy(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = operation.result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataTaxonomyService_DeleteDataTaxonomy_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_get_data_attribute_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_get_data_attribute_async.py
new file mode 100644
index 000000000000..350639322e18
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_get_data_attribute_async.py
@@ -0,0 +1,52 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for GetDataAttribute
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataTaxonomyService_GetDataAttribute_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_get_data_attribute():
+    # Create a client
+    client = dataplex_v1.DataTaxonomyServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.GetDataAttributeRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    response = await client.get_data_attribute(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataTaxonomyService_GetDataAttribute_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_get_data_attribute_binding_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_get_data_attribute_binding_async.py
new file mode 100644
index 000000000000..94a95946fcd5
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_get_data_attribute_binding_async.py
@@ -0,0 +1,52 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for GetDataAttributeBinding
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataTaxonomyService_GetDataAttributeBinding_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_get_data_attribute_binding():
+    # Create a client
+    client = dataplex_v1.DataTaxonomyServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.GetDataAttributeBindingRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    response = await client.get_data_attribute_binding(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataTaxonomyService_GetDataAttributeBinding_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_get_data_attribute_binding_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_get_data_attribute_binding_sync.py
new file mode 100644
index 000000000000..94f2288be733
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_get_data_attribute_binding_sync.py
@@ -0,0 +1,52 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for GetDataAttributeBinding
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataTaxonomyService_GetDataAttributeBinding_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_get_data_attribute_binding():
+    # Create a client
+    client = dataplex_v1.DataTaxonomyServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.GetDataAttributeBindingRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    response = client.get_data_attribute_binding(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataTaxonomyService_GetDataAttributeBinding_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_get_data_attribute_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_get_data_attribute_sync.py
new file mode 100644
index 000000000000..2a1adb57e6df
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_get_data_attribute_sync.py
@@ -0,0 +1,52 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for GetDataAttribute
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataTaxonomyService_GetDataAttribute_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_get_data_attribute():
+    # Create a client
+    client = dataplex_v1.DataTaxonomyServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.GetDataAttributeRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    response = client.get_data_attribute(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataTaxonomyService_GetDataAttribute_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_get_data_taxonomy_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_get_data_taxonomy_async.py
new file mode 100644
index 000000000000..f66f77ea22a3
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_get_data_taxonomy_async.py
@@ -0,0 +1,52 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for GetDataTaxonomy
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataTaxonomyService_GetDataTaxonomy_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_get_data_taxonomy():
+    # Create a client
+    client = dataplex_v1.DataTaxonomyServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.GetDataTaxonomyRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    response = await client.get_data_taxonomy(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataTaxonomyService_GetDataTaxonomy_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_get_data_taxonomy_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_get_data_taxonomy_sync.py
new file mode 100644
index 000000000000..15f085db3c20
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_get_data_taxonomy_sync.py
@@ -0,0 +1,52 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for GetDataTaxonomy
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataTaxonomyService_GetDataTaxonomy_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_get_data_taxonomy():
+    # Create a client
+    client = dataplex_v1.DataTaxonomyServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.GetDataTaxonomyRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    response = client.get_data_taxonomy(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataTaxonomyService_GetDataTaxonomy_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_list_data_attribute_bindings_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_list_data_attribute_bindings_async.py
new file mode 100644
index 000000000000..207e67a7215a
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_list_data_attribute_bindings_async.py
@@ -0,0 +1,53 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for ListDataAttributeBindings
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataTaxonomyService_ListDataAttributeBindings_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_list_data_attribute_bindings():
+    # Create a client
+    client = dataplex_v1.DataTaxonomyServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.ListDataAttributeBindingsRequest(
+        parent="parent_value",
+    )
+
+    # Make the request
+    page_result = client.list_data_attribute_bindings(request=request)
+
+    # Handle the response
+    async for response in page_result:
+        print(response)
+
+# [END dataplex_v1_generated_DataTaxonomyService_ListDataAttributeBindings_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_list_data_attribute_bindings_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_list_data_attribute_bindings_sync.py
new file mode 100644
index 000000000000..9139b66840ed
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_list_data_attribute_bindings_sync.py
@@ -0,0 +1,53 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for ListDataAttributeBindings
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataTaxonomyService_ListDataAttributeBindings_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_list_data_attribute_bindings():
+    # Create a client
+    client = dataplex_v1.DataTaxonomyServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.ListDataAttributeBindingsRequest(
+        parent="parent_value",
+    )
+
+    # Make the request
+    page_result = client.list_data_attribute_bindings(request=request)
+
+    # Handle the response
+    for response in page_result:
+        print(response)
+
+# [END dataplex_v1_generated_DataTaxonomyService_ListDataAttributeBindings_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_list_data_attributes_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_list_data_attributes_async.py
new file mode 100644
index 000000000000..6e9569b3ea57
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_list_data_attributes_async.py
@@ -0,0 +1,53 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for ListDataAttributes
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataTaxonomyService_ListDataAttributes_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_list_data_attributes():
+    # Create a client
+    client = dataplex_v1.DataTaxonomyServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.ListDataAttributesRequest(
+        parent="parent_value",
+    )
+
+    # Make the request
+    page_result = client.list_data_attributes(request=request)
+
+    # Handle the response
+    async for response in page_result:
+        print(response)
+
+# [END dataplex_v1_generated_DataTaxonomyService_ListDataAttributes_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_list_data_attributes_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_list_data_attributes_sync.py
new file mode 100644
index 000000000000..16454380d76d
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_list_data_attributes_sync.py
@@ -0,0 +1,53 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for ListDataAttributes
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataTaxonomyService_ListDataAttributes_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_list_data_attributes():
+    # Create a client
+    client = dataplex_v1.DataTaxonomyServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.ListDataAttributesRequest(
+        parent="parent_value",
+    )
+
+    # Make the request
+    page_result = client.list_data_attributes(request=request)
+
+    # Handle the response
+    for response in page_result:
+        print(response)
+
+# [END dataplex_v1_generated_DataTaxonomyService_ListDataAttributes_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_list_data_taxonomies_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_list_data_taxonomies_async.py
new file mode 100644
index 000000000000..6a1b36361816
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_list_data_taxonomies_async.py
@@ -0,0 +1,53 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for ListDataTaxonomies
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataTaxonomyService_ListDataTaxonomies_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_list_data_taxonomies():
+    # Create a client
+    client = dataplex_v1.DataTaxonomyServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.ListDataTaxonomiesRequest(
+        parent="parent_value",
+    )
+
+    # Make the request
+    page_result = client.list_data_taxonomies(request=request)
+
+    # Handle the response
+    async for response in page_result:
+        print(response)
+
+# [END dataplex_v1_generated_DataTaxonomyService_ListDataTaxonomies_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_list_data_taxonomies_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_list_data_taxonomies_sync.py
new file mode 100644
index 000000000000..cba0a7942e3b
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_list_data_taxonomies_sync.py
@@ -0,0 +1,53 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for ListDataTaxonomies
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataTaxonomyService_ListDataTaxonomies_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_list_data_taxonomies():
+    # Create a client
+    client = dataplex_v1.DataTaxonomyServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.ListDataTaxonomiesRequest(
+        parent="parent_value",
+    )
+
+    # Make the request
+    page_result = client.list_data_taxonomies(request=request)
+
+    # Handle the response
+    for response in page_result:
+        print(response)
+
+# [END dataplex_v1_generated_DataTaxonomyService_ListDataTaxonomies_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_update_data_attribute_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_update_data_attribute_async.py
new file mode 100644
index 000000000000..ceb29efa2ffa
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_update_data_attribute_async.py
@@ -0,0 +1,55 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for UpdateDataAttribute
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataTaxonomyService_UpdateDataAttribute_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_update_data_attribute():
+    # Create a client
+    client = dataplex_v1.DataTaxonomyServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.UpdateDataAttributeRequest(
+    )
+
+    # Make the request
+    operation = client.update_data_attribute(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = (await operation).result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataTaxonomyService_UpdateDataAttribute_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_update_data_attribute_binding_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_update_data_attribute_binding_async.py
new file mode 100644
index 000000000000..a0a822815f7f
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_update_data_attribute_binding_async.py
@@ -0,0 +1,59 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for UpdateDataAttributeBinding
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataTaxonomyService_UpdateDataAttributeBinding_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_update_data_attribute_binding():
+    # Create a client
+    client = dataplex_v1.DataTaxonomyServiceAsyncClient()
+
+    # Initialize request argument(s)
+    data_attribute_binding = dataplex_v1.DataAttributeBinding()
+    data_attribute_binding.resource = "resource_value"
+
+    request = dataplex_v1.UpdateDataAttributeBindingRequest(
+        data_attribute_binding=data_attribute_binding,
+    )
+
+    # Make the request
+    operation = client.update_data_attribute_binding(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = (await operation).result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataTaxonomyService_UpdateDataAttributeBinding_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_update_data_attribute_binding_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_update_data_attribute_binding_sync.py
new file mode 100644
index 000000000000..39fbd39776d8
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_update_data_attribute_binding_sync.py
@@ -0,0 +1,59 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for UpdateDataAttributeBinding
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataTaxonomyService_UpdateDataAttributeBinding_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_update_data_attribute_binding():
+    # Create a client
+    client = dataplex_v1.DataTaxonomyServiceClient()
+
+    # Initialize request argument(s)
+    data_attribute_binding = dataplex_v1.DataAttributeBinding()
+    data_attribute_binding.resource = "resource_value"
+
+    request = dataplex_v1.UpdateDataAttributeBindingRequest(
+        data_attribute_binding=data_attribute_binding,
+    )
+
+    # Make the request
+    operation = client.update_data_attribute_binding(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = operation.result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataTaxonomyService_UpdateDataAttributeBinding_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_update_data_attribute_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_update_data_attribute_sync.py
new file mode 100644
index 000000000000..0174b1fe11cd
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_update_data_attribute_sync.py
@@ -0,0 +1,55 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for UpdateDataAttribute
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataTaxonomyService_UpdateDataAttribute_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_update_data_attribute():
+    # Create a client
+    client = dataplex_v1.DataTaxonomyServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.UpdateDataAttributeRequest(
+    )
+
+    # Make the request
+    operation = client.update_data_attribute(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = operation.result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataTaxonomyService_UpdateDataAttribute_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_update_data_taxonomy_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_update_data_taxonomy_async.py
new file mode 100644
index 000000000000..cf45b97b2582
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_update_data_taxonomy_async.py
@@ -0,0 +1,55 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for UpdateDataTaxonomy
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataTaxonomyService_UpdateDataTaxonomy_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_update_data_taxonomy():
+    # Create a client
+    client = dataplex_v1.DataTaxonomyServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.UpdateDataTaxonomyRequest(
+    )
+
+    # Make the request
+    operation = client.update_data_taxonomy(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = (await operation).result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataTaxonomyService_UpdateDataTaxonomy_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_update_data_taxonomy_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_update_data_taxonomy_sync.py
new file mode 100644
index 000000000000..c1ff22cfad5b
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_update_data_taxonomy_sync.py
@@ -0,0 +1,55 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for UpdateDataTaxonomy
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataTaxonomyService_UpdateDataTaxonomy_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_update_data_taxonomy():
+    # Create a client
+    client = dataplex_v1.DataTaxonomyServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.UpdateDataTaxonomyRequest(
+    )
+
+    # Make the request
+    operation = client.update_data_taxonomy(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = operation.result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataTaxonomyService_UpdateDataTaxonomy_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_cancel_job_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_cancel_job_async.py
new file mode 100644
index 000000000000..3c62de319a83
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_cancel_job_async.py
@@ -0,0 +1,50 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for CancelJob
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_CancelJob_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_cancel_job():
+    # Create a client
+    client = dataplex_v1.DataplexServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.CancelJobRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    await client.cancel_job(request=request)
+
+
+# [END dataplex_v1_generated_DataplexService_CancelJob_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_cancel_job_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_cancel_job_sync.py
new file mode 100644
index 000000000000..0f03e83feca8
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_cancel_job_sync.py
@@ -0,0 +1,50 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for CancelJob
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_CancelJob_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_cancel_job():
+    # Create a client
+    client = dataplex_v1.DataplexServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.CancelJobRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    client.cancel_job(request=request)
+
+
+# [END dataplex_v1_generated_DataplexService_CancelJob_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_asset_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_asset_async.py
new file mode 100644
index 000000000000..22703812444a
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_asset_async.py
@@ -0,0 +1,61 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for CreateAsset
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_CreateAsset_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_create_asset():
+    # Create a client
+    client = dataplex_v1.DataplexServiceAsyncClient()
+
+    # Initialize request argument(s)
+    asset = dataplex_v1.Asset()
+    asset.resource_spec.type_ = "BIGQUERY_DATASET"
+
+    request = dataplex_v1.CreateAssetRequest(
+        parent="parent_value",
+        asset_id="asset_id_value",
+        asset=asset,
+    )
+
+    # Make the request
+    operation = client.create_asset(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = (await operation).result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataplexService_CreateAsset_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_asset_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_asset_sync.py
new file mode 100644
index 000000000000..d11ffbfbfb6a
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_asset_sync.py
@@ -0,0 +1,61 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for CreateAsset
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_CreateAsset_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_create_asset():
+    # Create a client
+    client = dataplex_v1.DataplexServiceClient()
+
+    # Initialize request argument(s)
+    asset = dataplex_v1.Asset()
+    asset.resource_spec.type_ = "BIGQUERY_DATASET"
+
+    request = dataplex_v1.CreateAssetRequest(
+        parent="parent_value",
+        asset_id="asset_id_value",
+        asset=asset,
+    )
+
+    # Make the request
+    operation = client.create_asset(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = operation.result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataplexService_CreateAsset_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_environment_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_environment_async.py
new file mode 100644
index 000000000000..04e8b56fc7f5
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_environment_async.py
@@ -0,0 +1,61 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for CreateEnvironment
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_CreateEnvironment_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_create_environment():
+    # Create a client
+    client = dataplex_v1.DataplexServiceAsyncClient()
+
+    # Initialize request argument(s)
+    environment = dataplex_v1.Environment()
+    environment.infrastructure_spec.os_image.image_version = "image_version_value"
+
+    request = dataplex_v1.CreateEnvironmentRequest(
+        parent="parent_value",
+        environment_id="environment_id_value",
+        environment=environment,
+    )
+
+    # Make the request
+    operation = client.create_environment(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = (await operation).result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataplexService_CreateEnvironment_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_environment_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_environment_sync.py
new file mode 100644
index 000000000000..572c041e342b
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_environment_sync.py
@@ -0,0 +1,61 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for CreateEnvironment
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_CreateEnvironment_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_create_environment():
+    # Create a client
+    client = dataplex_v1.DataplexServiceClient()
+
+    # Initialize request argument(s)
+    environment = dataplex_v1.Environment()
+    environment.infrastructure_spec.os_image.image_version = "image_version_value"
+
+    request = dataplex_v1.CreateEnvironmentRequest(
+        parent="parent_value",
+        environment_id="environment_id_value",
+        environment=environment,
+    )
+
+    # Make the request
+    operation = client.create_environment(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = operation.result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataplexService_CreateEnvironment_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_lake_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_lake_async.py
new file mode 100644
index 000000000000..510fe8247499
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_lake_async.py
@@ -0,0 +1,57 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for CreateLake
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_CreateLake_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_create_lake():
+    # Create a client
+    client = dataplex_v1.DataplexServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.CreateLakeRequest(
+        parent="parent_value",
+        lake_id="lake_id_value",
+    )
+
+    # Make the request
+    operation = client.create_lake(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = (await operation).result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataplexService_CreateLake_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_lake_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_lake_sync.py
new file mode 100644
index 000000000000..f18dc0a47c48
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_lake_sync.py
@@ -0,0 +1,57 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for CreateLake
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_CreateLake_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_create_lake():
+    # Create a client
+    client = dataplex_v1.DataplexServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.CreateLakeRequest(
+        parent="parent_value",
+        lake_id="lake_id_value",
+    )
+
+    # Make the request
+    operation = client.create_lake(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = operation.result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataplexService_CreateLake_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_task_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_task_async.py
new file mode 100644
index 000000000000..2709109a6790
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_task_async.py
@@ -0,0 +1,64 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for CreateTask
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_CreateTask_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_create_task():
+    # Create a client
+    client = dataplex_v1.DataplexServiceAsyncClient()
+
+    # Initialize request argument(s)
+    task = dataplex_v1.Task()
+    task.spark.main_jar_file_uri = "main_jar_file_uri_value"
+    task.trigger_spec.schedule = "schedule_value"
+    task.trigger_spec.type_ = "RECURRING"
+    task.execution_spec.service_account = "service_account_value"
+
+    request = dataplex_v1.CreateTaskRequest(
+        parent="parent_value",
+        task_id="task_id_value",
+        task=task,
+    )
+
+    # Make the request
+    operation = client.create_task(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = (await operation).result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataplexService_CreateTask_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_task_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_task_sync.py
new file mode 100644
index 000000000000..8bb4de8c071c
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_task_sync.py
@@ -0,0 +1,64 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for CreateTask
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_CreateTask_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_create_task():
+    # Create a client
+    client = dataplex_v1.DataplexServiceClient()
+
+    # Initialize request argument(s)
+    task = dataplex_v1.Task()
+    task.spark.main_jar_file_uri = "main_jar_file_uri_value"
+    task.trigger_spec.schedule = "schedule_value"
+    task.trigger_spec.type_ = "RECURRING"
+    task.execution_spec.service_account = "service_account_value"
+
+    request = dataplex_v1.CreateTaskRequest(
+        parent="parent_value",
+        task_id="task_id_value",
+        task=task,
+    )
+
+    # Make the request
+    operation = client.create_task(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = operation.result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataplexService_CreateTask_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_zone_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_zone_async.py
new file mode 100644
index 000000000000..0148ee8fc210
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_zone_async.py
@@ -0,0 +1,62 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for CreateZone
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_CreateZone_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_create_zone():
+    # Create a client
+    client = dataplex_v1.DataplexServiceAsyncClient()
+
+    # Initialize request argument(s)
+    zone = dataplex_v1.Zone()
+    zone.type_ = "CURATED"
+    zone.resource_spec.location_type = "MULTI_REGION"
+
+    request = dataplex_v1.CreateZoneRequest(
+        parent="parent_value",
+        zone_id="zone_id_value",
+        zone=zone,
+    )
+
+    # Make the request
+    operation = client.create_zone(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = (await operation).result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataplexService_CreateZone_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_zone_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_zone_sync.py
new file mode 100644
index 000000000000..734e213bee7f
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_zone_sync.py
@@ -0,0 +1,62 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for CreateZone
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_CreateZone_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_create_zone():
+    # Create a client
+    client = dataplex_v1.DataplexServiceClient()
+
+    # Initialize request argument(s)
+    zone = dataplex_v1.Zone()
+    zone.type_ = "CURATED"
+    zone.resource_spec.location_type = "MULTI_REGION"
+
+    request = dataplex_v1.CreateZoneRequest(
+        parent="parent_value",
+        zone_id="zone_id_value",
+        zone=zone,
+    )
+
+    # Make the request
+    operation = client.create_zone(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = operation.result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataplexService_CreateZone_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_asset_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_asset_async.py
new file mode 100644
index 000000000000..7fcc4e675180
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_asset_async.py
@@ -0,0 +1,56 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for DeleteAsset
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_DeleteAsset_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_delete_asset():
+    # Create a client
+    client = dataplex_v1.DataplexServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.DeleteAssetRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    operation = client.delete_asset(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = (await operation).result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataplexService_DeleteAsset_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_asset_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_asset_sync.py
new file mode 100644
index 000000000000..45f0e36fbcb7
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_asset_sync.py
@@ -0,0 +1,56 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for DeleteAsset
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_DeleteAsset_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_delete_asset():
+    # Create a client
+    client = dataplex_v1.DataplexServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.DeleteAssetRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    operation = client.delete_asset(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = operation.result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataplexService_DeleteAsset_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_environment_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_environment_async.py
new file mode 100644
index 000000000000..bb626ad110c9
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_environment_async.py
@@ -0,0 +1,56 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for DeleteEnvironment
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_DeleteEnvironment_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_delete_environment():
+    # Create a client
+    client = dataplex_v1.DataplexServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.DeleteEnvironmentRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    operation = client.delete_environment(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = (await operation).result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataplexService_DeleteEnvironment_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_environment_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_environment_sync.py
new file mode 100644
index 000000000000..f9fe6a103eea
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_environment_sync.py
@@ -0,0 +1,56 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for DeleteEnvironment
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_DeleteEnvironment_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_delete_environment():
+    # Create a client
+    client = dataplex_v1.DataplexServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.DeleteEnvironmentRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    operation = client.delete_environment(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = operation.result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataplexService_DeleteEnvironment_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_lake_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_lake_async.py
new file mode 100644
index 000000000000..72b244c54958
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_lake_async.py
@@ -0,0 +1,56 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for DeleteLake
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_DeleteLake_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_delete_lake():
+    # Create a client
+    client = dataplex_v1.DataplexServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.DeleteLakeRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    operation = client.delete_lake(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = (await operation).result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataplexService_DeleteLake_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_lake_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_lake_sync.py
new file mode 100644
index 000000000000..bc60e3d779cf
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_lake_sync.py
@@ -0,0 +1,56 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for DeleteLake
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_DeleteLake_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_delete_lake():
+    # Create a client
+    client = dataplex_v1.DataplexServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.DeleteLakeRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    operation = client.delete_lake(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = operation.result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataplexService_DeleteLake_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_task_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_task_async.py
new file mode 100644
index 000000000000..744bb671e334
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_task_async.py
@@ -0,0 +1,56 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for DeleteTask
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_DeleteTask_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_delete_task():
+    # Create a client
+    client = dataplex_v1.DataplexServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.DeleteTaskRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    operation = client.delete_task(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = (await operation).result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataplexService_DeleteTask_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_task_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_task_sync.py
new file mode 100644
index 000000000000..346621184099
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_task_sync.py
@@ -0,0 +1,56 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for DeleteTask
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_DeleteTask_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_delete_task():
+    # Create a client
+    client = dataplex_v1.DataplexServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.DeleteTaskRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    operation = client.delete_task(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = operation.result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataplexService_DeleteTask_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_zone_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_zone_async.py
new file mode 100644
index 000000000000..5c26d14108e9
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_zone_async.py
@@ -0,0 +1,56 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for DeleteZone
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_DeleteZone_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_delete_zone():
+    # Create a client
+    client = dataplex_v1.DataplexServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.DeleteZoneRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    operation = client.delete_zone(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = (await operation).result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataplexService_DeleteZone_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_zone_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_zone_sync.py
new file mode 100644
index 000000000000..ca175cbc639e
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_zone_sync.py
@@ -0,0 +1,56 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for DeleteZone
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_DeleteZone_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_delete_zone():
+    # Create a client
+    client = dataplex_v1.DataplexServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.DeleteZoneRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    operation = client.delete_zone(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = operation.result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataplexService_DeleteZone_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_asset_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_asset_async.py
new file mode 100644
index 000000000000..00d561665ef6
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_asset_async.py
@@ -0,0 +1,52 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for GetAsset
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_GetAsset_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_get_asset():
+    # Create a client
+    client = dataplex_v1.DataplexServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.GetAssetRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    response = await client.get_asset(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataplexService_GetAsset_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_asset_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_asset_sync.py
new file mode 100644
index 000000000000..b5e8b7ec2b41
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_asset_sync.py
@@ -0,0 +1,52 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for GetAsset
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_GetAsset_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_get_asset():
+    # Create a client
+    client = dataplex_v1.DataplexServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.GetAssetRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    response = client.get_asset(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataplexService_GetAsset_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_environment_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_environment_async.py
new file mode 100644
index 000000000000..3188ccf8d140
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_environment_async.py
@@ -0,0 +1,52 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for GetEnvironment
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_GetEnvironment_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_get_environment():
+    # Create a client
+    client = dataplex_v1.DataplexServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.GetEnvironmentRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    response = await client.get_environment(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataplexService_GetEnvironment_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_environment_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_environment_sync.py
new file mode 100644
index 000000000000..73399effb4c6
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_environment_sync.py
@@ -0,0 +1,52 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for GetEnvironment
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_GetEnvironment_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_get_environment():
+    # Create a client
+    client = dataplex_v1.DataplexServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.GetEnvironmentRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    response = client.get_environment(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataplexService_GetEnvironment_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_job_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_job_async.py
new file mode 100644
index 000000000000..cd8194f96353
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_job_async.py
@@ -0,0 +1,52 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for GetJob
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_GetJob_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_get_job():
+    # Create a client
+    client = dataplex_v1.DataplexServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.GetJobRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    response = await client.get_job(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataplexService_GetJob_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_job_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_job_sync.py
new file mode 100644
index 000000000000..79102a31e196
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_job_sync.py
@@ -0,0 +1,52 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for GetJob
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_GetJob_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_get_job():
+    # Create a client
+    client = dataplex_v1.DataplexServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.GetJobRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    response = client.get_job(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataplexService_GetJob_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_lake_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_lake_async.py
new file mode 100644
index 000000000000..0d71549766aa
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_lake_async.py
@@ -0,0 +1,52 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for GetLake
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_GetLake_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_get_lake():
+    # Create a client
+    client = dataplex_v1.DataplexServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.GetLakeRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    response = await client.get_lake(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataplexService_GetLake_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_lake_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_lake_sync.py
new file mode 100644
index 000000000000..6089d0fd3080
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_lake_sync.py
@@ -0,0 +1,52 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for GetLake
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_GetLake_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_get_lake():
+    # Create a client
+    client = dataplex_v1.DataplexServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.GetLakeRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    response = client.get_lake(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataplexService_GetLake_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_task_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_task_async.py
new file mode 100644
index 000000000000..a80b63d8165b
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_task_async.py
@@ -0,0 +1,52 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for GetTask
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_GetTask_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_get_task():
+    # Create a client
+    client = dataplex_v1.DataplexServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.GetTaskRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    response = await client.get_task(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataplexService_GetTask_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_task_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_task_sync.py
new file mode 100644
index 000000000000..ac88e7053402
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_task_sync.py
@@ -0,0 +1,52 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for GetTask
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_GetTask_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_get_task():
+    # Create a client
+    client = dataplex_v1.DataplexServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.GetTaskRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    response = client.get_task(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataplexService_GetTask_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_zone_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_zone_async.py
new file mode 100644
index 000000000000..dae75bef30b9
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_zone_async.py
@@ -0,0 +1,52 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for GetZone
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_GetZone_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_get_zone():
+    # Create a client
+    client = dataplex_v1.DataplexServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.GetZoneRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    response = await client.get_zone(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataplexService_GetZone_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_zone_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_zone_sync.py
new file mode 100644
index 000000000000..bd09ecb2c2be
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_zone_sync.py
@@ -0,0 +1,52 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for GetZone
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_GetZone_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_get_zone():
+    # Create a client
+    client = dataplex_v1.DataplexServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.GetZoneRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    response = client.get_zone(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataplexService_GetZone_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_asset_actions_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_asset_actions_async.py
new file mode 100644
index 000000000000..90f53390f676
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_asset_actions_async.py
@@ -0,0 +1,53 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for ListAssetActions
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_ListAssetActions_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_list_asset_actions():
+    # Create a client
+    client = dataplex_v1.DataplexServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.ListAssetActionsRequest(
+        parent="parent_value",
+    )
+
+    # Make the request
+    page_result = client.list_asset_actions(request=request)
+
+    # Handle the response
+    async for response in page_result:
+        print(response)
+
+# [END dataplex_v1_generated_DataplexService_ListAssetActions_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_asset_actions_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_asset_actions_sync.py
new file mode 100644
index 000000000000..a449f1cb65db
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_asset_actions_sync.py
@@ -0,0 +1,53 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for ListAssetActions
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_ListAssetActions_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_list_asset_actions():
+    # Create a client
+    client = dataplex_v1.DataplexServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.ListAssetActionsRequest(
+        parent="parent_value",
+    )
+
+    # Make the request
+    page_result = client.list_asset_actions(request=request)
+
+    # Handle the response
+    for response in page_result:
+        print(response)
+
+# [END dataplex_v1_generated_DataplexService_ListAssetActions_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_assets_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_assets_async.py
new file mode 100644
index 000000000000..8e07a6a1e784
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_assets_async.py
@@ -0,0 +1,53 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for ListAssets
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_ListAssets_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_list_assets():
+    # Create a client
+    client = dataplex_v1.DataplexServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.ListAssetsRequest(
+        parent="parent_value",
+    )
+
+    # Make the request
+    page_result = client.list_assets(request=request)
+
+    # Handle the response
+    async for response in page_result:
+        print(response)
+
+# [END dataplex_v1_generated_DataplexService_ListAssets_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_assets_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_assets_sync.py
new file mode 100644
index 000000000000..484a7db1eaeb
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_assets_sync.py
@@ -0,0 +1,53 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for ListAssets
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_ListAssets_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_list_assets():
+    # Create a client
+    client = dataplex_v1.DataplexServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.ListAssetsRequest(
+        parent="parent_value",
+    )
+
+    # Make the request
+    page_result = client.list_assets(request=request)
+
+    # Handle the response
+    for response in page_result:
+        print(response)
+
+# [END dataplex_v1_generated_DataplexService_ListAssets_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_environments_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_environments_async.py
new file mode 100644
index 000000000000..164415a6498b
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_environments_async.py
@@ -0,0 +1,53 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for ListEnvironments
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_ListEnvironments_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_list_environments():
+    # Create a client
+    client = dataplex_v1.DataplexServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.ListEnvironmentsRequest(
+        parent="parent_value",
+    )
+
+    # Make the request
+    page_result = client.list_environments(request=request)
+
+    # Handle the response
+    async for response in page_result:
+        print(response)
+
+# [END dataplex_v1_generated_DataplexService_ListEnvironments_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_environments_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_environments_sync.py
new file mode 100644
index 000000000000..79b7fd642ab6
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_environments_sync.py
@@ -0,0 +1,53 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for ListEnvironments
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_ListEnvironments_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_list_environments():
+    # Create a client
+    client = dataplex_v1.DataplexServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.ListEnvironmentsRequest(
+        parent="parent_value",
+    )
+
+    # Make the request
+    page_result = client.list_environments(request=request)
+
+    # Handle the response
+    for response in page_result:
+        print(response)
+
+# [END dataplex_v1_generated_DataplexService_ListEnvironments_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_jobs_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_jobs_async.py
new file mode 100644
index 000000000000..2de64cc90520
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_jobs_async.py
@@ -0,0 +1,53 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for ListJobs
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_ListJobs_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_list_jobs():
+    # Create a client
+    client = dataplex_v1.DataplexServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.ListJobsRequest(
+        parent="parent_value",
+    )
+
+    # Make the request
+    page_result = client.list_jobs(request=request)
+
+    # Handle the response
+    async for response in page_result:
+        print(response)
+
+# [END dataplex_v1_generated_DataplexService_ListJobs_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_jobs_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_jobs_sync.py
new file mode 100644
index 000000000000..708192b9bd03
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_jobs_sync.py
@@ -0,0 +1,53 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for ListJobs
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_ListJobs_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_list_jobs():
+    # Create a client
+    client = dataplex_v1.DataplexServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.ListJobsRequest(
+        parent="parent_value",
+    )
+
+    # Make the request
+    page_result = client.list_jobs(request=request)
+
+    # Handle the response
+    for response in page_result:
+        print(response)
+
+# [END dataplex_v1_generated_DataplexService_ListJobs_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_lake_actions_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_lake_actions_async.py
new file mode 100644
index 000000000000..3a9296185703
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_lake_actions_async.py
@@ -0,0 +1,53 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for ListLakeActions
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_ListLakeActions_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_list_lake_actions():
+    # Create a client
+    client = dataplex_v1.DataplexServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.ListLakeActionsRequest(
+        parent="parent_value",
+    )
+
+    # Make the request
+    page_result = client.list_lake_actions(request=request)
+
+    # Handle the response
+    async for response in page_result:
+        print(response)
+
+# [END dataplex_v1_generated_DataplexService_ListLakeActions_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_lake_actions_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_lake_actions_sync.py
new file mode 100644
index 000000000000..9b3333ce8555
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_lake_actions_sync.py
@@ -0,0 +1,53 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for ListLakeActions
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_ListLakeActions_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_list_lake_actions():
+    # Create a client
+    client = dataplex_v1.DataplexServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.ListLakeActionsRequest(
+        parent="parent_value",
+    )
+
+    # Make the request
+    page_result = client.list_lake_actions(request=request)
+
+    # Handle the response
+    for response in page_result:
+        print(response)
+
+# [END dataplex_v1_generated_DataplexService_ListLakeActions_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_lakes_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_lakes_async.py
new file mode 100644
index 000000000000..b312e9544b9a
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_lakes_async.py
@@ -0,0 +1,53 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for ListLakes
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_ListLakes_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_list_lakes():
+    # Create a client
+    client = dataplex_v1.DataplexServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.ListLakesRequest(
+        parent="parent_value",
+    )
+
+    # Make the request
+    page_result = client.list_lakes(request=request)
+
+    # Handle the response
+    async for response in page_result:
+        print(response)
+
+# [END dataplex_v1_generated_DataplexService_ListLakes_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_lakes_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_lakes_sync.py
new file mode 100644
index 000000000000..e2fc0d0e6b0d
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_lakes_sync.py
@@ -0,0 +1,53 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for ListLakes
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_ListLakes_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_list_lakes():
+    # Create a client
+    client = dataplex_v1.DataplexServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.ListLakesRequest(
+        parent="parent_value",
+    )
+
+    # Make the request
+    page_result = client.list_lakes(request=request)
+
+    # Handle the response
+    for response in page_result:
+        print(response)
+
+# [END dataplex_v1_generated_DataplexService_ListLakes_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_sessions_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_sessions_async.py
new file mode 100644
index 000000000000..0b265969c08f
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_sessions_async.py
@@ -0,0 +1,53 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for ListSessions
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_ListSessions_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_list_sessions():
+    # Create a client
+    client = dataplex_v1.DataplexServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.ListSessionsRequest(
+        parent="parent_value",
+    )
+
+    # Make the request
+    page_result = client.list_sessions(request=request)
+
+    # Handle the response
+    async for response in page_result:
+        print(response)
+
+# [END dataplex_v1_generated_DataplexService_ListSessions_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_sessions_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_sessions_sync.py
new file mode 100644
index 000000000000..7fc0d0de9675
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_sessions_sync.py
@@ -0,0 +1,53 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for ListSessions
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_ListSessions_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_list_sessions():
+    # Create a client
+    client = dataplex_v1.DataplexServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.ListSessionsRequest(
+        parent="parent_value",
+    )
+
+    # Make the request
+    page_result = client.list_sessions(request=request)
+
+    # Handle the response
+    for response in page_result:
+        print(response)
+
+# [END dataplex_v1_generated_DataplexService_ListSessions_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_tasks_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_tasks_async.py
new file mode 100644
index 000000000000..3ebe50888279
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_tasks_async.py
@@ -0,0 +1,53 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for ListTasks
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_ListTasks_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_list_tasks():
+    # Create a client
+    client = dataplex_v1.DataplexServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.ListTasksRequest(
+        parent="parent_value",
+    )
+
+    # Make the request
+    page_result = client.list_tasks(request=request)
+
+    # Handle the response
+    async for response in page_result:
+        print(response)
+
+# [END dataplex_v1_generated_DataplexService_ListTasks_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_tasks_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_tasks_sync.py
new file mode 100644
index 000000000000..b6a69abd53aa
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_tasks_sync.py
@@ -0,0 +1,53 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for ListTasks
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_ListTasks_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_list_tasks():
+    # Create a client
+    client = dataplex_v1.DataplexServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.ListTasksRequest(
+        parent="parent_value",
+    )
+
+    # Make the request
+    page_result = client.list_tasks(request=request)
+
+    # Handle the response
+    for response in page_result:
+        print(response)
+
+# [END dataplex_v1_generated_DataplexService_ListTasks_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_zone_actions_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_zone_actions_async.py
new file mode 100644
index 000000000000..55bf491493c6
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_zone_actions_async.py
@@ -0,0 +1,53 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for ListZoneActions
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_ListZoneActions_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_list_zone_actions():
+    # Create a client
+    client = dataplex_v1.DataplexServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.ListZoneActionsRequest(
+        parent="parent_value",
+    )
+
+    # Make the request
+    page_result = client.list_zone_actions(request=request)
+
+    # Handle the response
+    async for response in page_result:
+        print(response)
+
+# [END dataplex_v1_generated_DataplexService_ListZoneActions_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_zone_actions_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_zone_actions_sync.py
new file mode 100644
index 000000000000..b1a4cd7d39a9
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_zone_actions_sync.py
@@ -0,0 +1,53 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for ListZoneActions
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_ListZoneActions_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_list_zone_actions():
+    # Create a client
+    client = dataplex_v1.DataplexServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.ListZoneActionsRequest(
+        parent="parent_value",
+    )
+
+    # Make the request
+    page_result = client.list_zone_actions(request=request)
+
+    # Handle the response
+    for response in page_result:
+        print(response)
+
+# [END dataplex_v1_generated_DataplexService_ListZoneActions_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_zones_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_zones_async.py
new file mode 100644
index 000000000000..4387ef13b0bf
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_zones_async.py
@@ -0,0 +1,53 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for ListZones
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_ListZones_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_list_zones():
+    # Create a client
+    client = dataplex_v1.DataplexServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.ListZonesRequest(
+        parent="parent_value",
+    )
+
+    # Make the request
+    page_result = client.list_zones(request=request)
+
+    # Handle the response
+    async for response in page_result:
+        print(response)
+
+# [END dataplex_v1_generated_DataplexService_ListZones_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_zones_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_zones_sync.py
new file mode 100644
index 000000000000..d27df0d9fee2
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_zones_sync.py
@@ -0,0 +1,53 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for ListZones
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_ListZones_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_list_zones():
+    # Create a client
+    client = dataplex_v1.DataplexServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.ListZonesRequest(
+        parent="parent_value",
+    )
+
+    # Make the request
+    page_result = client.list_zones(request=request)
+
+    # Handle the response
+    for response in page_result:
+        print(response)
+
+# [END dataplex_v1_generated_DataplexService_ListZones_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_run_task_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_run_task_async.py
new file mode 100644
index 000000000000..9d9d81c26094
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_run_task_async.py
@@ -0,0 +1,52 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for RunTask
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_RunTask_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_run_task():
+    # Create a client
+    client = dataplex_v1.DataplexServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.RunTaskRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    response = await client.run_task(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataplexService_RunTask_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_run_task_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_run_task_sync.py
new file mode 100644
index 000000000000..53e68cc087c8
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_run_task_sync.py
@@ -0,0 +1,52 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for RunTask
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_RunTask_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_run_task():
+    # Create a client
+    client = dataplex_v1.DataplexServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.RunTaskRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    response = client.run_task(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataplexService_RunTask_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_asset_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_asset_async.py
new file mode 100644
index 000000000000..2e52a26e6a0c
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_asset_async.py
@@ -0,0 +1,59 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for UpdateAsset
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_UpdateAsset_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_update_asset():
+    # Create a client
+    client = dataplex_v1.DataplexServiceAsyncClient()
+
+    # Initialize request argument(s)
+    asset = dataplex_v1.Asset()
+    asset.resource_spec.type_ = "BIGQUERY_DATASET"
+
+    request = dataplex_v1.UpdateAssetRequest(
+        asset=asset,
+    )
+
+    # Make the request
+    operation = client.update_asset(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = (await operation).result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataplexService_UpdateAsset_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_asset_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_asset_sync.py
new file mode 100644
index 000000000000..89edd8ed6676
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_asset_sync.py
@@ -0,0 +1,59 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for UpdateAsset
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_UpdateAsset_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_update_asset():
+    # Create a client
+    client = dataplex_v1.DataplexServiceClient()
+
+    # Initialize request argument(s)
+    asset = dataplex_v1.Asset()
+    asset.resource_spec.type_ = "BIGQUERY_DATASET"
+
+    request = dataplex_v1.UpdateAssetRequest(
+        asset=asset,
+    )
+
+    # Make the request
+    operation = client.update_asset(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = operation.result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataplexService_UpdateAsset_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_environment_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_environment_async.py
new file mode 100644
index 000000000000..64b312afdd8b
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_environment_async.py
@@ -0,0 +1,59 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for UpdateEnvironment
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_UpdateEnvironment_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_update_environment():
+    # Create a client
+    client = dataplex_v1.DataplexServiceAsyncClient()
+
+    # Initialize request argument(s)
+    environment = dataplex_v1.Environment()
+    environment.infrastructure_spec.os_image.image_version = "image_version_value"
+
+    request = dataplex_v1.UpdateEnvironmentRequest(
+        environment=environment,
+    )
+
+    # Make the request
+    operation = client.update_environment(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = (await operation).result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataplexService_UpdateEnvironment_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_environment_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_environment_sync.py
new file mode 100644
index 000000000000..6475b2715973
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_environment_sync.py
@@ -0,0 +1,59 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for UpdateEnvironment
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_UpdateEnvironment_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_update_environment():
+    # Create a client
+    client = dataplex_v1.DataplexServiceClient()
+
+    # Initialize request argument(s)
+    environment = dataplex_v1.Environment()
+    environment.infrastructure_spec.os_image.image_version = "image_version_value"
+
+    request = dataplex_v1.UpdateEnvironmentRequest(
+        environment=environment,
+    )
+
+    # Make the request
+    operation = client.update_environment(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = operation.result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataplexService_UpdateEnvironment_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_lake_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_lake_async.py
new file mode 100644
index 000000000000..2b5c336fa65e
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_lake_async.py
@@ -0,0 +1,55 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for UpdateLake
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_UpdateLake_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_update_lake():
+    # Create a client
+    client = dataplex_v1.DataplexServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.UpdateLakeRequest(
+    )
+
+    # Make the request
+    operation = client.update_lake(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = (await operation).result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataplexService_UpdateLake_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_lake_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_lake_sync.py
new file mode 100644
index 000000000000..ab9737be9bd8
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_lake_sync.py
@@ -0,0 +1,55 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for UpdateLake
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_UpdateLake_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_update_lake():
+    # Create a client
+    client = dataplex_v1.DataplexServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.UpdateLakeRequest(
+    )
+
+    # Make the request
+    operation = client.update_lake(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = operation.result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataplexService_UpdateLake_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_task_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_task_async.py
new file mode 100644
index 000000000000..486735063aed
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_task_async.py
@@ -0,0 +1,62 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for UpdateTask
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_UpdateTask_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_update_task():
+    # Create a client
+    client = dataplex_v1.DataplexServiceAsyncClient()
+
+    # Initialize request argument(s)
+    task = dataplex_v1.Task()
+    task.spark.main_jar_file_uri = "main_jar_file_uri_value"
+    task.trigger_spec.schedule = "schedule_value"
+    task.trigger_spec.type_ = "RECURRING"
+    task.execution_spec.service_account = "service_account_value"
+
+    request = dataplex_v1.UpdateTaskRequest(
+        task=task,
+    )
+
+    # Make the request
+    operation = client.update_task(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = (await operation).result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataplexService_UpdateTask_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_task_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_task_sync.py
new file mode 100644
index 000000000000..245be1d6a4ee
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_task_sync.py
@@ -0,0 +1,62 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for UpdateTask
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_UpdateTask_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_update_task():
+    # Create a client
+    client = dataplex_v1.DataplexServiceClient()
+
+    # Initialize request argument(s)
+    task = dataplex_v1.Task()
+    task.spark.main_jar_file_uri = "main_jar_file_uri_value"
+    task.trigger_spec.schedule = "schedule_value"
+    task.trigger_spec.type_ = "RECURRING"
+    task.execution_spec.service_account = "service_account_value"
+
+    request = dataplex_v1.UpdateTaskRequest(
+        task=task,
+    )
+
+    # Make the request
+    operation = client.update_task(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = operation.result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataplexService_UpdateTask_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_zone_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_zone_async.py
new file mode 100644
index 000000000000..fae1f8d4a5f0
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_zone_async.py
@@ -0,0 +1,60 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for UpdateZone
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_UpdateZone_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_update_zone():
+    # Create a client
+    client = dataplex_v1.DataplexServiceAsyncClient()
+
+    # Initialize request argument(s)
+    zone = dataplex_v1.Zone()
+    zone.type_ = "CURATED"
+    zone.resource_spec.location_type = "MULTI_REGION"
+
+    request = dataplex_v1.UpdateZoneRequest(
+        zone=zone,
+    )
+
+    # Make the request
+    operation = client.update_zone(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = (await operation).result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataplexService_UpdateZone_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_zone_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_zone_sync.py
new file mode 100644
index 000000000000..d12cf99292a0
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_zone_sync.py
@@ -0,0 +1,60 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for UpdateZone
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_DataplexService_UpdateZone_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_update_zone():
+    # Create a client
+    client = dataplex_v1.DataplexServiceClient()
+
+    # Initialize request argument(s)
+    zone = dataplex_v1.Zone()
+    zone.type_ = "CURATED"
+    zone.resource_spec.location_type = "MULTI_REGION"
+
+    request = dataplex_v1.UpdateZoneRequest(
+        zone=zone,
+    )
+
+    # Make the request
+    operation = client.update_zone(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = operation.result()
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_DataplexService_UpdateZone_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_create_entity_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_create_entity_async.py
new file mode 100644
index 000000000000..646999836556
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_create_entity_async.py
@@ -0,0 +1,62 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for CreateEntity
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_MetadataService_CreateEntity_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_create_entity():
+    # Create a client
+    client = dataplex_v1.MetadataServiceAsyncClient()
+
+    # Initialize request argument(s)
+    entity = dataplex_v1.Entity()
+    entity.id = "id_value"
+    entity.type_ = "FILESET"
+    entity.asset = "asset_value"
+    entity.data_path = "data_path_value"
+    entity.system = "BIGQUERY"
+    entity.format_.mime_type = "mime_type_value"
+    entity.schema.user_managed = True
+
+    request = dataplex_v1.CreateEntityRequest(
+        parent="parent_value",
+        entity=entity,
+    )
+
+    # Make the request
+    response = await client.create_entity(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_MetadataService_CreateEntity_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_create_entity_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_create_entity_sync.py
new file mode 100644
index 000000000000..93fa897714bf
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_create_entity_sync.py
@@ -0,0 +1,62 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for CreateEntity
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_MetadataService_CreateEntity_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_create_entity():
+    # Create a client
+    client = dataplex_v1.MetadataServiceClient()
+
+    # Initialize request argument(s)
+    entity = dataplex_v1.Entity()
+    entity.id = "id_value"
+    entity.type_ = "FILESET"
+    entity.asset = "asset_value"
+    entity.data_path = "data_path_value"
+    entity.system = "BIGQUERY"
+    entity.format_.mime_type = "mime_type_value"
+    entity.schema.user_managed = True
+
+    request = dataplex_v1.CreateEntityRequest(
+        parent="parent_value",
+        entity=entity,
+    )
+
+    # Make the request
+    response = client.create_entity(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_MetadataService_CreateEntity_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_create_partition_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_create_partition_async.py
new file mode 100644
index 000000000000..b26600eefc21
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_create_partition_async.py
@@ -0,0 +1,57 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for CreatePartition
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_MetadataService_CreatePartition_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_create_partition():
+    # Create a client
+    client = dataplex_v1.MetadataServiceAsyncClient()
+
+    # Initialize request argument(s)
+    partition = dataplex_v1.Partition()
+    partition.values = ['values_value1', 'values_value2']
+    partition.location = "location_value"
+
+    request = dataplex_v1.CreatePartitionRequest(
+        parent="parent_value",
+        partition=partition,
+    )
+
+    # Make the request
+    response = await client.create_partition(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_MetadataService_CreatePartition_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_create_partition_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_create_partition_sync.py
new file mode 100644
index 000000000000..5b7dc07cd1cb
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_create_partition_sync.py
@@ -0,0 +1,57 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for CreatePartition
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_MetadataService_CreatePartition_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_create_partition():
+    # Create a client
+    client = dataplex_v1.MetadataServiceClient()
+
+    # Initialize request argument(s)
+    partition = dataplex_v1.Partition()
+    partition.values = ['values_value1', 'values_value2']
+    partition.location = "location_value"
+
+    request = dataplex_v1.CreatePartitionRequest(
+        parent="parent_value",
+        partition=partition,
+    )
+
+    # Make the request
+    response = client.create_partition(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_MetadataService_CreatePartition_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_delete_entity_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_delete_entity_async.py
new file mode 100644
index 000000000000..299fff1ade47
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_delete_entity_async.py
@@ -0,0 +1,51 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for DeleteEntity
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_MetadataService_DeleteEntity_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_delete_entity():
+    # Create a client
+    client = dataplex_v1.MetadataServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.DeleteEntityRequest(
+        name="name_value",
+        etag="etag_value",
+    )
+
+    # Make the request
+    await client.delete_entity(request=request)
+
+
+# [END dataplex_v1_generated_MetadataService_DeleteEntity_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_delete_entity_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_delete_entity_sync.py
new file mode 100644
index 000000000000..c89c6dbeac1f
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_delete_entity_sync.py
@@ -0,0 +1,51 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for DeleteEntity
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_MetadataService_DeleteEntity_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_delete_entity():
+    # Create a client
+    client = dataplex_v1.MetadataServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.DeleteEntityRequest(
+        name="name_value",
+        etag="etag_value",
+    )
+
+    # Make the request
+    client.delete_entity(request=request)
+
+
+# [END dataplex_v1_generated_MetadataService_DeleteEntity_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_delete_partition_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_delete_partition_async.py
new file mode 100644
index 000000000000..e3d17ce188a7
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_delete_partition_async.py
@@ -0,0 +1,50 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for DeletePartition
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_MetadataService_DeletePartition_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_delete_partition():
+    # Create a client
+    client = dataplex_v1.MetadataServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.DeletePartitionRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    await client.delete_partition(request=request)
+
+
+# [END dataplex_v1_generated_MetadataService_DeletePartition_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_delete_partition_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_delete_partition_sync.py
new file mode 100644
index 000000000000..8bda087a6447
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_delete_partition_sync.py
@@ -0,0 +1,50 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for DeletePartition
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_MetadataService_DeletePartition_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_delete_partition():
+    # Create a client
+    client = dataplex_v1.MetadataServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.DeletePartitionRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    client.delete_partition(request=request)
+
+
+# [END dataplex_v1_generated_MetadataService_DeletePartition_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_get_entity_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_get_entity_async.py
new file mode 100644
index 000000000000..040c39c0a4c5
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_get_entity_async.py
@@ -0,0 +1,52 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for GetEntity
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_MetadataService_GetEntity_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_get_entity():
+    # Create a client
+    client = dataplex_v1.MetadataServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.GetEntityRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    response = await client.get_entity(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_MetadataService_GetEntity_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_get_entity_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_get_entity_sync.py
new file mode 100644
index 000000000000..5ee30bf5fa57
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_get_entity_sync.py
@@ -0,0 +1,52 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for GetEntity
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_MetadataService_GetEntity_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_get_entity():
+    # Create a client
+    client = dataplex_v1.MetadataServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.GetEntityRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    response = client.get_entity(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_MetadataService_GetEntity_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_get_partition_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_get_partition_async.py
new file mode 100644
index 000000000000..b8173acc5686
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_get_partition_async.py
@@ -0,0 +1,52 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for GetPartition
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_MetadataService_GetPartition_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_get_partition():
+    # Create a client
+    client = dataplex_v1.MetadataServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.GetPartitionRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    response = await client.get_partition(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_MetadataService_GetPartition_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_get_partition_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_get_partition_sync.py
new file mode 100644
index 000000000000..2545e37f20a7
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_get_partition_sync.py
@@ -0,0 +1,52 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for GetPartition
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_MetadataService_GetPartition_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_get_partition():
+    # Create a client
+    client = dataplex_v1.MetadataServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.GetPartitionRequest(
+        name="name_value",
+    )
+
+    # Make the request
+    response = client.get_partition(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_MetadataService_GetPartition_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_list_entities_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_list_entities_async.py
new file mode 100644
index 000000000000..515797203908
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_list_entities_async.py
@@ -0,0 +1,54 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for ListEntities
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_MetadataService_ListEntities_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_list_entities():
+    # Create a client
+    client = dataplex_v1.MetadataServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.ListEntitiesRequest(
+        parent="parent_value",
+        view="FILESETS",
+    )
+
+    # Make the request
+    page_result = client.list_entities(request=request)
+
+    # Handle the response
+    async for response in page_result:
+        print(response)
+
+# [END dataplex_v1_generated_MetadataService_ListEntities_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_list_entities_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_list_entities_sync.py
new file mode 100644
index 000000000000..ba07568fef8d
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_list_entities_sync.py
@@ -0,0 +1,54 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for ListEntities
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_MetadataService_ListEntities_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_list_entities():
+    # Create a client
+    client = dataplex_v1.MetadataServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.ListEntitiesRequest(
+        parent="parent_value",
+        view="FILESETS",
+    )
+
+    # Make the request
+    page_result = client.list_entities(request=request)
+
+    # Handle the response
+    for response in page_result:
+        print(response)
+
+# [END dataplex_v1_generated_MetadataService_ListEntities_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_list_partitions_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_list_partitions_async.py
new file mode 100644
index 000000000000..b768b015e2f4
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_list_partitions_async.py
@@ -0,0 +1,53 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for ListPartitions
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_MetadataService_ListPartitions_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_list_partitions():
+    # Create a client
+    client = dataplex_v1.MetadataServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.ListPartitionsRequest(
+        parent="parent_value",
+    )
+
+    # Make the request
+    page_result = client.list_partitions(request=request)
+
+    # Handle the response
+    async for response in page_result:
+        print(response)
+
+# [END dataplex_v1_generated_MetadataService_ListPartitions_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_list_partitions_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_list_partitions_sync.py
new file mode 100644
index 000000000000..ae571b8a8773
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_list_partitions_sync.py
@@ -0,0 +1,53 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for ListPartitions
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_MetadataService_ListPartitions_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_list_partitions():
+    # Create a client
+    client = dataplex_v1.MetadataServiceClient()
+
+    # Initialize request argument(s)
+    request = dataplex_v1.ListPartitionsRequest(
+        parent="parent_value",
+    )
+
+    # Make the request
+    page_result = client.list_partitions(request=request)
+
+    # Handle the response
+    for response in page_result:
+        print(response)
+
+# [END dataplex_v1_generated_MetadataService_ListPartitions_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_update_entity_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_update_entity_async.py
new file mode 100644
index 000000000000..bd878e0fb8e7
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_update_entity_async.py
@@ -0,0 +1,61 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for UpdateEntity
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_MetadataService_UpdateEntity_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+async def sample_update_entity():
+    # Create a client
+    client = dataplex_v1.MetadataServiceAsyncClient()
+
+    # Initialize request argument(s)
+    entity = dataplex_v1.Entity()
+    entity.id = "id_value"
+    entity.type_ = "FILESET"
+    entity.asset = "asset_value"
+    entity.data_path = "data_path_value"
+    entity.system = "BIGQUERY"
+    entity.format_.mime_type = "mime_type_value"
+    entity.schema.user_managed = True
+
+    request = dataplex_v1.UpdateEntityRequest(
+        entity=entity,
+    )
+
+    # Make the request
+    response = await client.update_entity(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_MetadataService_UpdateEntity_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_update_entity_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_update_entity_sync.py
new file mode 100644
index 000000000000..5362969247ef
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_update_entity_sync.py
@@ -0,0 +1,61 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for UpdateEntity
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-dataplex
+
+
+# [START dataplex_v1_generated_MetadataService_UpdateEntity_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import dataplex_v1
+
+
+def sample_update_entity():
+    # Create a client
+    client = dataplex_v1.MetadataServiceClient()
+
+    # Initialize request argument(s)
+    entity = dataplex_v1.Entity()
+    entity.id = "id_value"
+    entity.type_ = "FILESET"
+    entity.asset = "asset_value"
+    entity.data_path = "data_path_value"
+    entity.system = "BIGQUERY"
+    entity.format_.mime_type = "mime_type_value"
+    entity.schema.user_managed = True
+
+    request = dataplex_v1.UpdateEntityRequest(
+        entity=entity,
+    )
+
+    # Make the request
+    response = client.update_entity(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END dataplex_v1_generated_MetadataService_UpdateEntity_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/snippet_metadata_google.cloud.dataplex.v1.json b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/snippet_metadata_google.cloud.dataplex.v1.json
new file mode 100644
index 000000000000..a7eb15b2cc0d
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/snippet_metadata_google.cloud.dataplex.v1.json
@@ -0,0 +1,16421 @@
+{
+  "clientLibrary": {
+    "apis": [
+      {
+        "id": "google.cloud.dataplex.v1",
+        "version": "v1"
+      }
+    ],
+    "language": "PYTHON",
+    "name": "google-cloud-dataplex",
+    "version": "0.1.0"
+  },
+  "snippets": [
+    {
+      "canonical": true,
+      "clientMethod": {
+        "async": true,
+        "client": {
+          "fullName": "google.cloud.dataplex_v1.CatalogServiceAsyncClient",
+          "shortName": "CatalogServiceAsyncClient"
+        },
+        "fullName": "google.cloud.dataplex_v1.CatalogServiceAsyncClient.cancel_metadata_job",
+        "method": {
+          "fullName": "google.cloud.dataplex.v1.CatalogService.CancelMetadataJob",
+          "service": {
+            "fullName": "google.cloud.dataplex.v1.CatalogService",
+            "shortName": "CatalogService"
+          },
+          "shortName": "CancelMetadataJob"
+        },
+        "parameters": [
+          {
+            "name": "request",
+            "type": "google.cloud.dataplex_v1.types.CancelMetadataJobRequest"
+          },
+          {
+            "name": "name",
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+            "name": "metadata",
+            "type": "Sequence[Tuple[str, str]"
+          }
+        ],
+        "shortName": "cancel_metadata_job"
+      },
+      "description": "Sample for CancelMetadataJob",
+      "file": "dataplex_v1_generated_catalog_service_cancel_metadata_job_async.py",
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+          },
+          "shortName": "CancelMetadataJob"
+        },
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+          {
+            "name": "request",
+            "type": "google.cloud.dataplex_v1.types.CancelMetadataJobRequest"
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+        ],
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+      },
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+            "name": "request",
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+          },
+          {
+            "name": "metadata",
+            "type": "Sequence[Tuple[str, str]"
+          }
+        ],
+        "resultType": "google.cloud.dataplex_v1.services.metadata_service.pagers.ListEntitiesPager",
+        "shortName": "list_entities"
+      },
+      "description": "Sample for ListEntities",
+      "file": "dataplex_v1_generated_metadata_service_list_entities_sync.py",
+      "language": "PYTHON",
+      "origin": "API_DEFINITION",
+      "regionTag": "dataplex_v1_generated_MetadataService_ListEntities_sync",
+      "segments": [
+        {
+          "end": 53,
+          "start": 27,
+          "type": "FULL"
+        },
+        {
+          "end": 53,
+          "start": 27,
+          "type": "SHORT"
+        },
+        {
+          "end": 40,
+          "start": 38,
+          "type": "CLIENT_INITIALIZATION"
+        },
+        {
+          "end": 46,
+          "start": 41,
+          "type": "REQUEST_INITIALIZATION"
+        },
+        {
+          "end": 49,
+          "start": 47,
+          "type": "REQUEST_EXECUTION"
+        },
+        {
+          "end": 54,
+          "start": 50,
+          "type": "RESPONSE_HANDLING"
+        }
+      ],
+      "title": "dataplex_v1_generated_metadata_service_list_entities_sync.py"
+    },
+    {
+      "canonical": true,
+      "clientMethod": {
+        "async": true,
+        "client": {
+          "fullName": "google.cloud.dataplex_v1.MetadataServiceAsyncClient",
+          "shortName": "MetadataServiceAsyncClient"
+        },
+        "fullName": "google.cloud.dataplex_v1.MetadataServiceAsyncClient.list_partitions",
+        "method": {
+          "fullName": "google.cloud.dataplex.v1.MetadataService.ListPartitions",
+          "service": {
+            "fullName": "google.cloud.dataplex.v1.MetadataService",
+            "shortName": "MetadataService"
+          },
+          "shortName": "ListPartitions"
+        },
+        "parameters": [
+          {
+            "name": "request",
+            "type": "google.cloud.dataplex_v1.types.ListPartitionsRequest"
+          },
+          {
+            "name": "parent",
+            "type": "str"
+          },
+          {
+            "name": "retry",
+            "type": "google.api_core.retry.Retry"
+          },
+          {
+            "name": "timeout",
+            "type": "float"
+          },
+          {
+            "name": "metadata",
+            "type": "Sequence[Tuple[str, str]"
+          }
+        ],
+        "resultType": "google.cloud.dataplex_v1.services.metadata_service.pagers.ListPartitionsAsyncPager",
+        "shortName": "list_partitions"
+      },
+      "description": "Sample for ListPartitions",
+      "file": "dataplex_v1_generated_metadata_service_list_partitions_async.py",
+      "language": "PYTHON",
+      "origin": "API_DEFINITION",
+      "regionTag": "dataplex_v1_generated_MetadataService_ListPartitions_async",
+      "segments": [
+        {
+          "end": 52,
+          "start": 27,
+          "type": "FULL"
+        },
+        {
+          "end": 52,
+          "start": 27,
+          "type": "SHORT"
+        },
+        {
+          "end": 40,
+          "start": 38,
+          "type": "CLIENT_INITIALIZATION"
+        },
+        {
+          "end": 45,
+          "start": 41,
+          "type": "REQUEST_INITIALIZATION"
+        },
+        {
+          "end": 48,
+          "start": 46,
+          "type": "REQUEST_EXECUTION"
+        },
+        {
+          "end": 53,
+          "start": 49,
+          "type": "RESPONSE_HANDLING"
+        }
+      ],
+      "title": "dataplex_v1_generated_metadata_service_list_partitions_async.py"
+    },
+    {
+      "canonical": true,
+      "clientMethod": {
+        "client": {
+          "fullName": "google.cloud.dataplex_v1.MetadataServiceClient",
+          "shortName": "MetadataServiceClient"
+        },
+        "fullName": "google.cloud.dataplex_v1.MetadataServiceClient.list_partitions",
+        "method": {
+          "fullName": "google.cloud.dataplex.v1.MetadataService.ListPartitions",
+          "service": {
+            "fullName": "google.cloud.dataplex.v1.MetadataService",
+            "shortName": "MetadataService"
+          },
+          "shortName": "ListPartitions"
+        },
+        "parameters": [
+          {
+            "name": "request",
+            "type": "google.cloud.dataplex_v1.types.ListPartitionsRequest"
+          },
+          {
+            "name": "parent",
+            "type": "str"
+          },
+          {
+            "name": "retry",
+            "type": "google.api_core.retry.Retry"
+          },
+          {
+            "name": "timeout",
+            "type": "float"
+          },
+          {
+            "name": "metadata",
+            "type": "Sequence[Tuple[str, str]"
+          }
+        ],
+        "resultType": "google.cloud.dataplex_v1.services.metadata_service.pagers.ListPartitionsPager",
+        "shortName": "list_partitions"
+      },
+      "description": "Sample for ListPartitions",
+      "file": "dataplex_v1_generated_metadata_service_list_partitions_sync.py",
+      "language": "PYTHON",
+      "origin": "API_DEFINITION",
+      "regionTag": "dataplex_v1_generated_MetadataService_ListPartitions_sync",
+      "segments": [
+        {
+          "end": 52,
+          "start": 27,
+          "type": "FULL"
+        },
+        {
+          "end": 52,
+          "start": 27,
+          "type": "SHORT"
+        },
+        {
+          "end": 40,
+          "start": 38,
+          "type": "CLIENT_INITIALIZATION"
+        },
+        {
+          "end": 45,
+          "start": 41,
+          "type": "REQUEST_INITIALIZATION"
+        },
+        {
+          "end": 48,
+          "start": 46,
+          "type": "REQUEST_EXECUTION"
+        },
+        {
+          "end": 53,
+          "start": 49,
+          "type": "RESPONSE_HANDLING"
+        }
+      ],
+      "title": "dataplex_v1_generated_metadata_service_list_partitions_sync.py"
+    },
+    {
+      "canonical": true,
+      "clientMethod": {
+        "async": true,
+        "client": {
+          "fullName": "google.cloud.dataplex_v1.MetadataServiceAsyncClient",
+          "shortName": "MetadataServiceAsyncClient"
+        },
+        "fullName": "google.cloud.dataplex_v1.MetadataServiceAsyncClient.update_entity",
+        "method": {
+          "fullName": "google.cloud.dataplex.v1.MetadataService.UpdateEntity",
+          "service": {
+            "fullName": "google.cloud.dataplex.v1.MetadataService",
+            "shortName": "MetadataService"
+          },
+          "shortName": "UpdateEntity"
+        },
+        "parameters": [
+          {
+            "name": "request",
+            "type": "google.cloud.dataplex_v1.types.UpdateEntityRequest"
+          },
+          {
+            "name": "retry",
+            "type": "google.api_core.retry.Retry"
+          },
+          {
+            "name": "timeout",
+            "type": "float"
+          },
+          {
+            "name": "metadata",
+            "type": "Sequence[Tuple[str, str]"
+          }
+        ],
+        "resultType": "google.cloud.dataplex_v1.types.Entity",
+        "shortName": "update_entity"
+      },
+      "description": "Sample for UpdateEntity",
+      "file": "dataplex_v1_generated_metadata_service_update_entity_async.py",
+      "language": "PYTHON",
+      "origin": "API_DEFINITION",
+      "regionTag": "dataplex_v1_generated_MetadataService_UpdateEntity_async",
+      "segments": [
+        {
+          "end": 60,
+          "start": 27,
+          "type": "FULL"
+        },
+        {
+          "end": 60,
+          "start": 27,
+          "type": "SHORT"
+        },
+        {
+          "end": 40,
+          "start": 38,
+          "type": "CLIENT_INITIALIZATION"
+        },
+        {
+          "end": 54,
+          "start": 41,
+          "type": "REQUEST_INITIALIZATION"
+        },
+        {
+          "end": 57,
+          "start": 55,
+          "type": "REQUEST_EXECUTION"
+        },
+        {
+          "end": 61,
+          "start": 58,
+          "type": "RESPONSE_HANDLING"
+        }
+      ],
+      "title": "dataplex_v1_generated_metadata_service_update_entity_async.py"
+    },
+    {
+      "canonical": true,
+      "clientMethod": {
+        "client": {
+          "fullName": "google.cloud.dataplex_v1.MetadataServiceClient",
+          "shortName": "MetadataServiceClient"
+        },
+        "fullName": "google.cloud.dataplex_v1.MetadataServiceClient.update_entity",
+        "method": {
+          "fullName": "google.cloud.dataplex.v1.MetadataService.UpdateEntity",
+          "service": {
+            "fullName": "google.cloud.dataplex.v1.MetadataService",
+            "shortName": "MetadataService"
+          },
+          "shortName": "UpdateEntity"
+        },
+        "parameters": [
+          {
+            "name": "request",
+            "type": "google.cloud.dataplex_v1.types.UpdateEntityRequest"
+          },
+          {
+            "name": "retry",
+            "type": "google.api_core.retry.Retry"
+          },
+          {
+            "name": "timeout",
+            "type": "float"
+          },
+          {
+            "name": "metadata",
+            "type": "Sequence[Tuple[str, str]"
+          }
+        ],
+        "resultType": "google.cloud.dataplex_v1.types.Entity",
+        "shortName": "update_entity"
+      },
+      "description": "Sample for UpdateEntity",
+      "file": "dataplex_v1_generated_metadata_service_update_entity_sync.py",
+      "language": "PYTHON",
+      "origin": "API_DEFINITION",
+      "regionTag": "dataplex_v1_generated_MetadataService_UpdateEntity_sync",
+      "segments": [
+        {
+          "end": 60,
+          "start": 27,
+          "type": "FULL"
+        },
+        {
+          "end": 60,
+          "start": 27,
+          "type": "SHORT"
+        },
+        {
+          "end": 40,
+          "start": 38,
+          "type": "CLIENT_INITIALIZATION"
+        },
+        {
+          "end": 54,
+          "start": 41,
+          "type": "REQUEST_INITIALIZATION"
+        },
+        {
+          "end": 57,
+          "start": 55,
+          "type": "REQUEST_EXECUTION"
+        },
+        {
+          "end": 61,
+          "start": 58,
+          "type": "RESPONSE_HANDLING"
+        }
+      ],
+      "title": "dataplex_v1_generated_metadata_service_update_entity_sync.py"
+    }
+  ]
+}
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/scripts/fixup_dataplex_v1_keywords.py b/owl-bot-staging/google-cloud-dataplex/v1/scripts/fixup_dataplex_v1_keywords.py
new file mode 100644
index 000000000000..6681941351bf
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/scripts/fixup_dataplex_v1_keywords.py
@@ -0,0 +1,275 @@
+#! /usr/bin/env python3
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+import argparse
+import os
+import libcst as cst
+import pathlib
+import sys
+from typing import (Any, Callable, Dict, List, Sequence, Tuple)
+
+
+def partition(
+    predicate: Callable[[Any], bool],
+    iterator: Sequence[Any]
+) -> Tuple[List[Any], List[Any]]:
+    """A stable, out-of-place partition."""
+    results = ([], [])
+
+    for i in iterator:
+        results[int(predicate(i))].append(i)
+
+    # Returns trueList, falseList
+    return results[1], results[0]
+
+
+class dataplexCallTransformer(cst.CSTTransformer):
+    CTRL_PARAMS: Tuple[str] = ('retry', 'timeout', 'metadata')
+    METHOD_TO_PARAMS: Dict[str, Tuple[str]] = {
+        'cancel_job': ('name', ),
+        'cancel_metadata_job': ('name', ),
+        'create_aspect_type': ('parent', 'aspect_type_id', 'aspect_type', 'validate_only', ),
+        'create_asset': ('parent', 'asset_id', 'asset', 'validate_only', ),
+        'create_content': ('parent', 'content', 'validate_only', ),
+        'create_data_attribute': ('parent', 'data_attribute_id', 'data_attribute', 'validate_only', ),
+        'create_data_attribute_binding': ('parent', 'data_attribute_binding_id', 'data_attribute_binding', 'validate_only', ),
+        'create_data_scan': ('parent', 'data_scan', 'data_scan_id', 'validate_only', ),
+        'create_data_taxonomy': ('parent', 'data_taxonomy_id', 'data_taxonomy', 'validate_only', ),
+        'create_entity': ('parent', 'entity', 'validate_only', ),
+        'create_entry': ('parent', 'entry_id', 'entry', ),
+        'create_entry_group': ('parent', 'entry_group_id', 'entry_group', 'validate_only', ),
+        'create_entry_type': ('parent', 'entry_type_id', 'entry_type', 'validate_only', ),
+        'create_environment': ('parent', 'environment_id', 'environment', 'validate_only', ),
+        'create_lake': ('parent', 'lake_id', 'lake', 'validate_only', ),
+        'create_metadata_job': ('parent', 'metadata_job', 'metadata_job_id', 'validate_only', ),
+        'create_partition': ('parent', 'partition', 'validate_only', ),
+        'create_task': ('parent', 'task_id', 'task', 'validate_only', ),
+        'create_zone': ('parent', 'zone_id', 'zone', 'validate_only', ),
+        'delete_aspect_type': ('name', 'etag', ),
+        'delete_asset': ('name', ),
+        'delete_content': ('name', ),
+        'delete_data_attribute': ('name', 'etag', ),
+        'delete_data_attribute_binding': ('name', 'etag', ),
+        'delete_data_scan': ('name', ),
+        'delete_data_taxonomy': ('name', 'etag', ),
+        'delete_entity': ('name', 'etag', ),
+        'delete_entry': ('name', ),
+        'delete_entry_group': ('name', 'etag', ),
+        'delete_entry_type': ('name', 'etag', ),
+        'delete_environment': ('name', ),
+        'delete_lake': ('name', ),
+        'delete_partition': ('name', 'etag', ),
+        'delete_task': ('name', ),
+        'delete_zone': ('name', ),
+        'generate_data_quality_rules': ('name', ),
+        'get_aspect_type': ('name', ),
+        'get_asset': ('name', ),
+        'get_content': ('name', 'view', ),
+        'get_data_attribute': ('name', ),
+        'get_data_attribute_binding': ('name', ),
+        'get_data_scan': ('name', 'view', ),
+        'get_data_scan_job': ('name', 'view', ),
+        'get_data_taxonomy': ('name', ),
+        'get_entity': ('name', 'view', ),
+        'get_entry': ('name', 'view', 'aspect_types', 'paths', ),
+        'get_entry_group': ('name', ),
+        'get_entry_type': ('name', ),
+        'get_environment': ('name', ),
+        'get_iam_policy': ('resource', 'options', ),
+        'get_job': ('name', ),
+        'get_lake': ('name', ),
+        'get_metadata_job': ('name', ),
+        'get_partition': ('name', ),
+        'get_task': ('name', ),
+        'get_zone': ('name', ),
+        'list_aspect_types': ('parent', 'page_size', 'page_token', 'filter', 'order_by', ),
+        'list_asset_actions': ('parent', 'page_size', 'page_token', ),
+        'list_assets': ('parent', 'page_size', 'page_token', 'filter', 'order_by', ),
+        'list_content': ('parent', 'page_size', 'page_token', 'filter', ),
+        'list_data_attribute_bindings': ('parent', 'page_size', 'page_token', 'filter', 'order_by', ),
+        'list_data_attributes': ('parent', 'page_size', 'page_token', 'filter', 'order_by', ),
+        'list_data_scan_jobs': ('parent', 'page_size', 'page_token', 'filter', ),
+        'list_data_scans': ('parent', 'page_size', 'page_token', 'filter', 'order_by', ),
+        'list_data_taxonomies': ('parent', 'page_size', 'page_token', 'filter', 'order_by', ),
+        'list_entities': ('parent', 'view', 'page_size', 'page_token', 'filter', ),
+        'list_entries': ('parent', 'page_size', 'page_token', 'filter', ),
+        'list_entry_groups': ('parent', 'page_size', 'page_token', 'filter', 'order_by', ),
+        'list_entry_types': ('parent', 'page_size', 'page_token', 'filter', 'order_by', ),
+        'list_environments': ('parent', 'page_size', 'page_token', 'filter', 'order_by', ),
+        'list_jobs': ('parent', 'page_size', 'page_token', ),
+        'list_lake_actions': ('parent', 'page_size', 'page_token', ),
+        'list_lakes': ('parent', 'page_size', 'page_token', 'filter', 'order_by', ),
+        'list_metadata_jobs': ('parent', 'page_size', 'page_token', 'filter', 'order_by', ),
+        'list_partitions': ('parent', 'page_size', 'page_token', 'filter', ),
+        'list_sessions': ('parent', 'page_size', 'page_token', 'filter', ),
+        'list_tasks': ('parent', 'page_size', 'page_token', 'filter', 'order_by', ),
+        'list_zone_actions': ('parent', 'page_size', 'page_token', ),
+        'list_zones': ('parent', 'page_size', 'page_token', 'filter', 'order_by', ),
+        'lookup_entry': ('name', 'entry', 'view', 'aspect_types', 'paths', ),
+        'run_data_scan': ('name', ),
+        'run_task': ('name', 'labels', 'args', ),
+        'search_entries': ('name', 'query', 'page_size', 'page_token', 'order_by', 'scope', ),
+        'set_iam_policy': ('resource', 'policy', 'update_mask', ),
+        'test_iam_permissions': ('resource', 'permissions', ),
+        'update_aspect_type': ('aspect_type', 'update_mask', 'validate_only', ),
+        'update_asset': ('update_mask', 'asset', 'validate_only', ),
+        'update_content': ('update_mask', 'content', 'validate_only', ),
+        'update_data_attribute': ('update_mask', 'data_attribute', 'validate_only', ),
+        'update_data_attribute_binding': ('update_mask', 'data_attribute_binding', 'validate_only', ),
+        'update_data_scan': ('data_scan', 'update_mask', 'validate_only', ),
+        'update_data_taxonomy': ('update_mask', 'data_taxonomy', 'validate_only', ),
+        'update_entity': ('entity', 'validate_only', ),
+        'update_entry': ('entry', 'update_mask', 'allow_missing', 'delete_missing_aspects', 'aspect_keys', ),
+        'update_entry_group': ('entry_group', 'update_mask', 'validate_only', ),
+        'update_entry_type': ('entry_type', 'update_mask', 'validate_only', ),
+        'update_environment': ('update_mask', 'environment', 'validate_only', ),
+        'update_lake': ('update_mask', 'lake', 'validate_only', ),
+        'update_task': ('update_mask', 'task', 'validate_only', ),
+        'update_zone': ('update_mask', 'zone', 'validate_only', ),
+    }
+
+    def leave_Call(self, original: cst.Call, updated: cst.Call) -> cst.CSTNode:
+        try:
+            key = original.func.attr.value
+            kword_params = self.METHOD_TO_PARAMS[key]
+        except (AttributeError, KeyError):
+            # Either not a method from the API or too convoluted to be sure.
+            return updated
+
+        # If the existing code is valid, keyword args come after positional args.
+        # Therefore, all positional args must map to the first parameters.
+        args, kwargs = partition(lambda a: not bool(a.keyword), updated.args)
+        if any(k.keyword.value == "request" for k in kwargs):
+            # We've already fixed this file, don't fix it again.
+            return updated
+
+        kwargs, ctrl_kwargs = partition(
+            lambda a: a.keyword.value not in self.CTRL_PARAMS,
+            kwargs
+        )
+
+        args, ctrl_args = args[:len(kword_params)], args[len(kword_params):]
+        ctrl_kwargs.extend(cst.Arg(value=a.value, keyword=cst.Name(value=ctrl))
+                           for a, ctrl in zip(ctrl_args, self.CTRL_PARAMS))
+
+        request_arg = cst.Arg(
+            value=cst.Dict([
+                cst.DictElement(
+                    cst.SimpleString("'{}'".format(name)),
+cst.Element(value=arg.value)
+                )
+                # Note: the args + kwargs looks silly, but keep in mind that
+                # the control parameters had to be stripped out, and that
+                # those could have been passed positionally or by keyword.
+                for name, arg in zip(kword_params, args + kwargs)]),
+            keyword=cst.Name("request")
+        )
+
+        return updated.with_changes(
+            args=[request_arg] + ctrl_kwargs
+        )
+
+
+def fix_files(
+    in_dir: pathlib.Path,
+    out_dir: pathlib.Path,
+    *,
+    transformer=dataplexCallTransformer(),
+):
+    """Duplicate the input dir to the output dir, fixing file method calls.
+
+    Preconditions:
+    * in_dir is a real directory
+    * out_dir is a real, empty directory
+    """
+    pyfile_gen = (
+        pathlib.Path(os.path.join(root, f))
+        for root, _, files in os.walk(in_dir)
+        for f in files if os.path.splitext(f)[1] == ".py"
+    )
+
+    for fpath in pyfile_gen:
+        with open(fpath, 'r') as f:
+            src = f.read()
+
+        # Parse the code and insert method call fixes.
+        tree = cst.parse_module(src)
+        updated = tree.visit(transformer)
+
+        # Create the path and directory structure for the new file.
+        updated_path = out_dir.joinpath(fpath.relative_to(in_dir))
+        updated_path.parent.mkdir(parents=True, exist_ok=True)
+
+        # Generate the updated source file at the corresponding path.
+        with open(updated_path, 'w') as f:
+            f.write(updated.code)
+
+
+if __name__ == '__main__':
+    parser = argparse.ArgumentParser(
+        description="""Fix up source that uses the dataplex client library.
+
+The existing sources are NOT overwritten but are copied to output_dir with changes made.
+
+Note: This tool operates at a best-effort level at converting positional
+      parameters in client method calls to keyword based parameters.
+      Cases where it WILL FAIL include
+      A) * or ** expansion in a method call.
+      B) Calls via function or method alias (includes free function calls)
+      C) Indirect or dispatched calls (e.g. the method is looked up dynamically)
+
+      These all constitute false negatives. The tool will also detect false
+      positives when an API method shares a name with another method.
+""")
+    parser.add_argument(
+        '-d',
+        '--input-directory',
+        required=True,
+        dest='input_dir',
+        help='the input directory to walk for python files to fix up',
+    )
+    parser.add_argument(
+        '-o',
+        '--output-directory',
+        required=True,
+        dest='output_dir',
+        help='the directory to output files fixed via un-flattening',
+    )
+    args = parser.parse_args()
+    input_dir = pathlib.Path(args.input_dir)
+    output_dir = pathlib.Path(args.output_dir)
+    if not input_dir.is_dir():
+        print(
+            f"input directory '{input_dir}' does not exist or is not a directory",
+            file=sys.stderr,
+        )
+        sys.exit(-1)
+
+    if not output_dir.is_dir():
+        print(
+            f"output directory '{output_dir}' does not exist or is not a directory",
+            file=sys.stderr,
+        )
+        sys.exit(-1)
+
+    if os.listdir(output_dir):
+        print(
+            f"output directory '{output_dir}' is not empty",
+            file=sys.stderr,
+        )
+        sys.exit(-1)
+
+    fix_files(input_dir, output_dir)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/setup.py b/owl-bot-staging/google-cloud-dataplex/v1/setup.py
new file mode 100644
index 000000000000..d9494d49423d
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/setup.py
@@ -0,0 +1,99 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+import io
+import os
+import re
+
+import setuptools # type: ignore
+
+package_root = os.path.abspath(os.path.dirname(__file__))
+
+name = 'google-cloud-dataplex'
+
+
+description = "Google Cloud Dataplex API client library"
+
+version = None
+
+with open(os.path.join(package_root, 'google/cloud/dataplex/gapic_version.py')) as fp:
+    version_candidates = re.findall(r"(?<=\")\d+.\d+.\d+(?=\")", fp.read())
+    assert (len(version_candidates) == 1)
+    version = version_candidates[0]
+
+if version[0] == "0":
+    release_status = "Development Status :: 4 - Beta"
+else:
+    release_status = "Development Status :: 5 - Production/Stable"
+
+dependencies = [
+    "google-api-core[grpc] >= 1.34.1, <3.0.0dev,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,!=2.7.*,!=2.8.*,!=2.9.*,!=2.10.*",
+    # Exclude incompatible versions of `google-auth`
+    # See https://github.com/googleapis/google-cloud-python/issues/12364
+    "google-auth >= 2.14.1, <3.0.0dev,!=2.24.0,!=2.25.0",
+    "proto-plus >= 1.22.3, <2.0.0dev",
+    "proto-plus >= 1.25.0, <2.0.0dev; python_version >= '3.13'",
+    "protobuf>=3.20.2,<6.0.0dev,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5",
+    "grpc-google-iam-v1 >= 0.12.4, <1.0.0dev",
+]
+extras = {
+}
+url = "https://github.com/googleapis/google-cloud-python/tree/main/packages/google-cloud-dataplex"
+
+package_root = os.path.abspath(os.path.dirname(__file__))
+
+readme_filename = os.path.join(package_root, "README.rst")
+with io.open(readme_filename, encoding="utf-8") as readme_file:
+    readme = readme_file.read()
+
+packages = [
+    package
+    for package in setuptools.find_namespace_packages()
+    if package.startswith("google")
+]
+
+setuptools.setup(
+    name=name,
+    version=version,
+    description=description,
+    long_description=readme,
+    author="Google LLC",
+    author_email="googleapis-packages@google.com",
+    license="Apache 2.0",
+    url=url,
+    classifiers=[
+        release_status,
+        "Intended Audience :: Developers",
+        "License :: OSI Approved :: Apache Software License",
+        "Programming Language :: Python",
+        "Programming Language :: Python :: 3",
+        "Programming Language :: Python :: 3.7",
+        "Programming Language :: Python :: 3.8",
+        "Programming Language :: Python :: 3.9",
+        "Programming Language :: Python :: 3.10",
+        "Programming Language :: Python :: 3.11",
+        "Programming Language :: Python :: 3.12",
+        "Programming Language :: Python :: 3.13",
+        "Operating System :: OS Independent",
+        "Topic :: Internet",
+    ],
+    platforms="Posix; MacOS X; Windows",
+    packages=packages,
+    python_requires=">=3.7",
+    install_requires=dependencies,
+    extras_require=extras,
+    include_package_data=True,
+    zip_safe=False,
+)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/testing/constraints-3.10.txt b/owl-bot-staging/google-cloud-dataplex/v1/testing/constraints-3.10.txt
new file mode 100644
index 000000000000..ad3f0fa58e2d
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/testing/constraints-3.10.txt
@@ -0,0 +1,7 @@
+# -*- coding: utf-8 -*-
+# This constraints file is required for unit tests.
+# List all library dependencies and extras in this file.
+google-api-core
+proto-plus
+protobuf
+grpc-google-iam-v1
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/testing/constraints-3.11.txt b/owl-bot-staging/google-cloud-dataplex/v1/testing/constraints-3.11.txt
new file mode 100644
index 000000000000..ad3f0fa58e2d
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/testing/constraints-3.11.txt
@@ -0,0 +1,7 @@
+# -*- coding: utf-8 -*-
+# This constraints file is required for unit tests.
+# List all library dependencies and extras in this file.
+google-api-core
+proto-plus
+protobuf
+grpc-google-iam-v1
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/testing/constraints-3.12.txt b/owl-bot-staging/google-cloud-dataplex/v1/testing/constraints-3.12.txt
new file mode 100644
index 000000000000..ad3f0fa58e2d
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/testing/constraints-3.12.txt
@@ -0,0 +1,7 @@
+# -*- coding: utf-8 -*-
+# This constraints file is required for unit tests.
+# List all library dependencies and extras in this file.
+google-api-core
+proto-plus
+protobuf
+grpc-google-iam-v1
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/testing/constraints-3.13.txt b/owl-bot-staging/google-cloud-dataplex/v1/testing/constraints-3.13.txt
new file mode 100644
index 000000000000..ad3f0fa58e2d
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/testing/constraints-3.13.txt
@@ -0,0 +1,7 @@
+# -*- coding: utf-8 -*-
+# This constraints file is required for unit tests.
+# List all library dependencies and extras in this file.
+google-api-core
+proto-plus
+protobuf
+grpc-google-iam-v1
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/testing/constraints-3.7.txt b/owl-bot-staging/google-cloud-dataplex/v1/testing/constraints-3.7.txt
new file mode 100644
index 000000000000..a81fb6bcd05c
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/testing/constraints-3.7.txt
@@ -0,0 +1,11 @@
+# This constraints file is used to check that lower bounds
+# are correct in setup.py
+# List all library dependencies and extras in this file.
+# Pin the version to the lower bound.
+# e.g., if setup.py has "google-cloud-foo >= 1.14.0, < 2.0.0dev",
+# Then this file should have google-cloud-foo==1.14.0
+google-api-core==1.34.1
+google-auth==2.14.1
+proto-plus==1.22.3
+protobuf==3.20.2
+grpc-google-iam-v1==0.12.4
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/testing/constraints-3.8.txt b/owl-bot-staging/google-cloud-dataplex/v1/testing/constraints-3.8.txt
new file mode 100644
index 000000000000..ad3f0fa58e2d
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/testing/constraints-3.8.txt
@@ -0,0 +1,7 @@
+# -*- coding: utf-8 -*-
+# This constraints file is required for unit tests.
+# List all library dependencies and extras in this file.
+google-api-core
+proto-plus
+protobuf
+grpc-google-iam-v1
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/testing/constraints-3.9.txt b/owl-bot-staging/google-cloud-dataplex/v1/testing/constraints-3.9.txt
new file mode 100644
index 000000000000..ad3f0fa58e2d
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/testing/constraints-3.9.txt
@@ -0,0 +1,7 @@
+# -*- coding: utf-8 -*-
+# This constraints file is required for unit tests.
+# List all library dependencies and extras in this file.
+google-api-core
+proto-plus
+protobuf
+grpc-google-iam-v1
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/tests/__init__.py b/owl-bot-staging/google-cloud-dataplex/v1/tests/__init__.py
new file mode 100644
index 000000000000..7b3de3117f38
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/tests/__init__.py
@@ -0,0 +1,16 @@
+
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/tests/unit/__init__.py b/owl-bot-staging/google-cloud-dataplex/v1/tests/unit/__init__.py
new file mode 100644
index 000000000000..7b3de3117f38
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/tests/unit/__init__.py
@@ -0,0 +1,16 @@
+
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/tests/unit/gapic/__init__.py b/owl-bot-staging/google-cloud-dataplex/v1/tests/unit/gapic/__init__.py
new file mode 100644
index 000000000000..7b3de3117f38
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/tests/unit/gapic/__init__.py
@@ -0,0 +1,16 @@
+
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/tests/unit/gapic/dataplex_v1/__init__.py b/owl-bot-staging/google-cloud-dataplex/v1/tests/unit/gapic/dataplex_v1/__init__.py
new file mode 100644
index 000000000000..7b3de3117f38
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/tests/unit/gapic/dataplex_v1/__init__.py
@@ -0,0 +1,16 @@
+
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/tests/unit/gapic/dataplex_v1/test_catalog_service.py b/owl-bot-staging/google-cloud-dataplex/v1/tests/unit/gapic/dataplex_v1/test_catalog_service.py
new file mode 100644
index 000000000000..801c1fbe291a
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/tests/unit/gapic/dataplex_v1/test_catalog_service.py
@@ -0,0 +1,13193 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+import os
+# try/except added for compatibility with python < 3.8
+try:
+    from unittest import mock
+    from unittest.mock import AsyncMock  # pragma: NO COVER
+except ImportError:  # pragma: NO COVER
+    import mock
+
+import grpc
+from grpc.experimental import aio
+import math
+import pytest
+from google.api_core import api_core_version
+from proto.marshal.rules.dates import DurationRule, TimestampRule
+from proto.marshal.rules import wrappers
+
+try:
+    from google.auth.aio import credentials as ga_credentials_async
+    HAS_GOOGLE_AUTH_AIO = True
+except ImportError: # pragma: NO COVER
+    HAS_GOOGLE_AUTH_AIO = False
+
+from google.api_core import client_options
+from google.api_core import exceptions as core_exceptions
+from google.api_core import future
+from google.api_core import gapic_v1
+from google.api_core import grpc_helpers
+from google.api_core import grpc_helpers_async
+from google.api_core import operation
+from google.api_core import operation_async  # type: ignore
+from google.api_core import operations_v1
+from google.api_core import path_template
+from google.api_core import retry as retries
+from google.auth import credentials as ga_credentials
+from google.auth.exceptions import MutualTLSChannelError
+from google.cloud.dataplex_v1.services.catalog_service import CatalogServiceAsyncClient
+from google.cloud.dataplex_v1.services.catalog_service import CatalogServiceClient
+from google.cloud.dataplex_v1.services.catalog_service import pagers
+from google.cloud.dataplex_v1.services.catalog_service import transports
+from google.cloud.dataplex_v1.types import catalog
+from google.cloud.dataplex_v1.types import service
+from google.cloud.location import locations_pb2
+from google.iam.v1 import iam_policy_pb2  # type: ignore
+from google.iam.v1 import options_pb2  # type: ignore
+from google.iam.v1 import policy_pb2  # type: ignore
+from google.longrunning import operations_pb2 # type: ignore
+from google.oauth2 import service_account
+from google.protobuf import empty_pb2  # type: ignore
+from google.protobuf import field_mask_pb2  # type: ignore
+from google.protobuf import struct_pb2  # type: ignore
+from google.protobuf import timestamp_pb2  # type: ignore
+import google.auth
+
+
+async def mock_async_gen(data, chunk_size=1):
+    for i in range(0, len(data)):  # pragma: NO COVER
+        chunk = data[i : i + chunk_size]
+        yield chunk.encode("utf-8")
+
+def client_cert_source_callback():
+    return b"cert bytes", b"key bytes"
+
+# TODO: use async auth anon credentials by default once the minimum version of google-auth is upgraded.
+# See related issue: https://github.com/googleapis/gapic-generator-python/issues/2107.
+def async_anonymous_credentials():
+    if HAS_GOOGLE_AUTH_AIO:
+        return ga_credentials_async.AnonymousCredentials()
+    return ga_credentials.AnonymousCredentials()
+
+# If default endpoint is localhost, then default mtls endpoint will be the same.
+# This method modifies the default endpoint so the client can produce a different
+# mtls endpoint for endpoint testing purposes.
+def modify_default_endpoint(client):
+    return "foo.googleapis.com" if ("localhost" in client.DEFAULT_ENDPOINT) else client.DEFAULT_ENDPOINT
+
+# If default endpoint template is localhost, then default mtls endpoint will be the same.
+# This method modifies the default endpoint template so the client can produce a different
+# mtls endpoint for endpoint testing purposes.
+def modify_default_endpoint_template(client):
+    return "test.{UNIVERSE_DOMAIN}" if ("localhost" in client._DEFAULT_ENDPOINT_TEMPLATE) else client._DEFAULT_ENDPOINT_TEMPLATE
+
+
+def test__get_default_mtls_endpoint():
+    api_endpoint = "example.googleapis.com"
+    api_mtls_endpoint = "example.mtls.googleapis.com"
+    sandbox_endpoint = "example.sandbox.googleapis.com"
+    sandbox_mtls_endpoint = "example.mtls.sandbox.googleapis.com"
+    non_googleapi = "api.example.com"
+
+    assert CatalogServiceClient._get_default_mtls_endpoint(None) is None
+    assert CatalogServiceClient._get_default_mtls_endpoint(api_endpoint) == api_mtls_endpoint
+    assert CatalogServiceClient._get_default_mtls_endpoint(api_mtls_endpoint) == api_mtls_endpoint
+    assert CatalogServiceClient._get_default_mtls_endpoint(sandbox_endpoint) == sandbox_mtls_endpoint
+    assert CatalogServiceClient._get_default_mtls_endpoint(sandbox_mtls_endpoint) == sandbox_mtls_endpoint
+    assert CatalogServiceClient._get_default_mtls_endpoint(non_googleapi) == non_googleapi
+
+def test__read_environment_variables():
+    assert CatalogServiceClient._read_environment_variables() == (False, "auto", None)
+
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
+        assert CatalogServiceClient._read_environment_variables() == (True, "auto", None)
+
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "false"}):
+        assert CatalogServiceClient._read_environment_variables() == (False, "auto", None)
+
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}):
+        with pytest.raises(ValueError) as excinfo:
+            CatalogServiceClient._read_environment_variables()
+    assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`"
+
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
+        assert CatalogServiceClient._read_environment_variables() == (False, "never", None)
+
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
+        assert CatalogServiceClient._read_environment_variables() == (False, "always", None)
+
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "auto"}):
+        assert CatalogServiceClient._read_environment_variables() == (False, "auto", None)
+
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}):
+        with pytest.raises(MutualTLSChannelError) as excinfo:
+            CatalogServiceClient._read_environment_variables()
+    assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`"
+
+    with mock.patch.dict(os.environ, {"GOOGLE_CLOUD_UNIVERSE_DOMAIN": "foo.com"}):
+        assert CatalogServiceClient._read_environment_variables() == (False, "auto", "foo.com")
+
+def test__get_client_cert_source():
+    mock_provided_cert_source = mock.Mock()
+    mock_default_cert_source = mock.Mock()
+
+    assert CatalogServiceClient._get_client_cert_source(None, False) is None
+    assert CatalogServiceClient._get_client_cert_source(mock_provided_cert_source, False) is None
+    assert CatalogServiceClient._get_client_cert_source(mock_provided_cert_source, True) == mock_provided_cert_source
+
+    with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True):
+        with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=mock_default_cert_source):
+            assert CatalogServiceClient._get_client_cert_source(None, True) is mock_default_cert_source
+            assert CatalogServiceClient._get_client_cert_source(mock_provided_cert_source, "true") is mock_provided_cert_source
+
+@mock.patch.object(CatalogServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(CatalogServiceClient))
+@mock.patch.object(CatalogServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(CatalogServiceAsyncClient))
+def test__get_api_endpoint():
+    api_override = "foo.com"
+    mock_client_cert_source = mock.Mock()
+    default_universe = CatalogServiceClient._DEFAULT_UNIVERSE
+    default_endpoint = CatalogServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=default_universe)
+    mock_universe = "bar.com"
+    mock_endpoint = CatalogServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=mock_universe)
+
+    assert CatalogServiceClient._get_api_endpoint(api_override, mock_client_cert_source, default_universe, "always") == api_override
+    assert CatalogServiceClient._get_api_endpoint(None, mock_client_cert_source, default_universe, "auto") == CatalogServiceClient.DEFAULT_MTLS_ENDPOINT
+    assert CatalogServiceClient._get_api_endpoint(None, None, default_universe, "auto") == default_endpoint
+    assert CatalogServiceClient._get_api_endpoint(None, None, default_universe, "always") == CatalogServiceClient.DEFAULT_MTLS_ENDPOINT
+    assert CatalogServiceClient._get_api_endpoint(None, mock_client_cert_source, default_universe, "always") == CatalogServiceClient.DEFAULT_MTLS_ENDPOINT
+    assert CatalogServiceClient._get_api_endpoint(None, None, mock_universe, "never") == mock_endpoint
+    assert CatalogServiceClient._get_api_endpoint(None, None, default_universe, "never") == default_endpoint
+
+    with pytest.raises(MutualTLSChannelError) as excinfo:
+        CatalogServiceClient._get_api_endpoint(None, mock_client_cert_source, mock_universe, "auto")
+    assert str(excinfo.value) == "mTLS is not supported in any universe other than googleapis.com."
+
+
+def test__get_universe_domain():
+    client_universe_domain = "foo.com"
+    universe_domain_env = "bar.com"
+
+    assert CatalogServiceClient._get_universe_domain(client_universe_domain, universe_domain_env) == client_universe_domain
+    assert CatalogServiceClient._get_universe_domain(None, universe_domain_env) == universe_domain_env
+    assert CatalogServiceClient._get_universe_domain(None, None) == CatalogServiceClient._DEFAULT_UNIVERSE
+
+    with pytest.raises(ValueError) as excinfo:
+        CatalogServiceClient._get_universe_domain("", None)
+    assert str(excinfo.value) == "Universe Domain cannot be an empty string."
+
+
+@pytest.mark.parametrize("client_class,transport_name", [
+    (CatalogServiceClient, "grpc"),
+    (CatalogServiceAsyncClient, "grpc_asyncio"),
+])
+def test_catalog_service_client_from_service_account_info(client_class, transport_name):
+    creds = ga_credentials.AnonymousCredentials()
+    with mock.patch.object(service_account.Credentials, 'from_service_account_info') as factory:
+        factory.return_value = creds
+        info = {"valid": True}
+        client = client_class.from_service_account_info(info, transport=transport_name)
+        assert client.transport._credentials == creds
+        assert isinstance(client, client_class)
+
+        assert client.transport._host == (
+            'dataplex.googleapis.com:443'
+        )
+
+
+@pytest.mark.parametrize("transport_class,transport_name", [
+    (transports.CatalogServiceGrpcTransport, "grpc"),
+    (transports.CatalogServiceGrpcAsyncIOTransport, "grpc_asyncio"),
+])
+def test_catalog_service_client_service_account_always_use_jwt(transport_class, transport_name):
+    with mock.patch.object(service_account.Credentials, 'with_always_use_jwt_access', create=True) as use_jwt:
+        creds = service_account.Credentials(None, None, None)
+        transport = transport_class(credentials=creds, always_use_jwt_access=True)
+        use_jwt.assert_called_once_with(True)
+
+    with mock.patch.object(service_account.Credentials, 'with_always_use_jwt_access', create=True) as use_jwt:
+        creds = service_account.Credentials(None, None, None)
+        transport = transport_class(credentials=creds, always_use_jwt_access=False)
+        use_jwt.assert_not_called()
+
+
+@pytest.mark.parametrize("client_class,transport_name", [
+    (CatalogServiceClient, "grpc"),
+    (CatalogServiceAsyncClient, "grpc_asyncio"),
+])
+def test_catalog_service_client_from_service_account_file(client_class, transport_name):
+    creds = ga_credentials.AnonymousCredentials()
+    with mock.patch.object(service_account.Credentials, 'from_service_account_file') as factory:
+        factory.return_value = creds
+        client = client_class.from_service_account_file("dummy/file/path.json", transport=transport_name)
+        assert client.transport._credentials == creds
+        assert isinstance(client, client_class)
+
+        client = client_class.from_service_account_json("dummy/file/path.json", transport=transport_name)
+        assert client.transport._credentials == creds
+        assert isinstance(client, client_class)
+
+        assert client.transport._host == (
+            'dataplex.googleapis.com:443'
+        )
+
+
+def test_catalog_service_client_get_transport_class():
+    transport = CatalogServiceClient.get_transport_class()
+    available_transports = [
+        transports.CatalogServiceGrpcTransport,
+    ]
+    assert transport in available_transports
+
+    transport = CatalogServiceClient.get_transport_class("grpc")
+    assert transport == transports.CatalogServiceGrpcTransport
+
+
+@pytest.mark.parametrize("client_class,transport_class,transport_name", [
+    (CatalogServiceClient, transports.CatalogServiceGrpcTransport, "grpc"),
+    (CatalogServiceAsyncClient, transports.CatalogServiceGrpcAsyncIOTransport, "grpc_asyncio"),
+])
+@mock.patch.object(CatalogServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(CatalogServiceClient))
+@mock.patch.object(CatalogServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(CatalogServiceAsyncClient))
+def test_catalog_service_client_client_options(client_class, transport_class, transport_name):
+    # Check that if channel is provided we won't create a new one.
+    with mock.patch.object(CatalogServiceClient, 'get_transport_class') as gtc:
+        transport = transport_class(
+            credentials=ga_credentials.AnonymousCredentials()
+        )
+        client = client_class(transport=transport)
+        gtc.assert_not_called()
+
+    # Check that if channel is provided via str we will create a new one.
+    with mock.patch.object(CatalogServiceClient, 'get_transport_class') as gtc:
+        client = client_class(transport=transport_name)
+        gtc.assert_called()
+
+    # Check the case api_endpoint is provided.
+    options = client_options.ClientOptions(api_endpoint="squid.clam.whelk")
+    with mock.patch.object(transport_class, '__init__') as patched:
+        patched.return_value = None
+        client = client_class(transport=transport_name, client_options=options)
+        patched.assert_called_once_with(
+            credentials=None,
+            credentials_file=None,
+            host="squid.clam.whelk",
+            scopes=None,
+            client_cert_source_for_mtls=None,
+            quota_project_id=None,
+            client_info=transports.base.DEFAULT_CLIENT_INFO,
+            always_use_jwt_access=True,
+            api_audience=None,
+        )
+
+    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is
+    # "never".
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
+        with mock.patch.object(transport_class, '__init__') as patched:
+            patched.return_value = None
+            client = client_class(transport=transport_name)
+            patched.assert_called_once_with(
+                credentials=None,
+                credentials_file=None,
+                host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
+                scopes=None,
+                client_cert_source_for_mtls=None,
+                quota_project_id=None,
+                client_info=transports.base.DEFAULT_CLIENT_INFO,
+                always_use_jwt_access=True,
+                api_audience=None,
+            )
+
+    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is
+    # "always".
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
+        with mock.patch.object(transport_class, '__init__') as patched:
+            patched.return_value = None
+            client = client_class(transport=transport_name)
+            patched.assert_called_once_with(
+                credentials=None,
+                credentials_file=None,
+                host=client.DEFAULT_MTLS_ENDPOINT,
+                scopes=None,
+                client_cert_source_for_mtls=None,
+                quota_project_id=None,
+                client_info=transports.base.DEFAULT_CLIENT_INFO,
+                always_use_jwt_access=True,
+                api_audience=None,
+            )
+
+    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT has
+    # unsupported value.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}):
+        with pytest.raises(MutualTLSChannelError) as excinfo:
+            client = client_class(transport=transport_name)
+    assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`"
+
+    # Check the case GOOGLE_API_USE_CLIENT_CERTIFICATE has unsupported value.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}):
+        with pytest.raises(ValueError) as excinfo:
+            client = client_class(transport=transport_name)
+    assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`"
+
+    # Check the case quota_project_id is provided
+    options = client_options.ClientOptions(quota_project_id="octopus")
+    with mock.patch.object(transport_class, '__init__') as patched:
+        patched.return_value = None
+        client = client_class(client_options=options, transport=transport_name)
+        patched.assert_called_once_with(
+            credentials=None,
+            credentials_file=None,
+            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
+            scopes=None,
+            client_cert_source_for_mtls=None,
+            quota_project_id="octopus",
+            client_info=transports.base.DEFAULT_CLIENT_INFO,
+            always_use_jwt_access=True,
+            api_audience=None,
+        )
+    # Check the case api_endpoint is provided
+    options = client_options.ClientOptions(api_audience="https://language.googleapis.com")
+    with mock.patch.object(transport_class, '__init__') as patched:
+        patched.return_value = None
+        client = client_class(client_options=options, transport=transport_name)
+        patched.assert_called_once_with(
+            credentials=None,
+            credentials_file=None,
+            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
+            scopes=None,
+            client_cert_source_for_mtls=None,
+            quota_project_id=None,
+            client_info=transports.base.DEFAULT_CLIENT_INFO,
+            always_use_jwt_access=True,
+            api_audience="https://language.googleapis.com"
+        )
+
+@pytest.mark.parametrize("client_class,transport_class,transport_name,use_client_cert_env", [
+    (CatalogServiceClient, transports.CatalogServiceGrpcTransport, "grpc", "true"),
+    (CatalogServiceAsyncClient, transports.CatalogServiceGrpcAsyncIOTransport, "grpc_asyncio", "true"),
+    (CatalogServiceClient, transports.CatalogServiceGrpcTransport, "grpc", "false"),
+    (CatalogServiceAsyncClient, transports.CatalogServiceGrpcAsyncIOTransport, "grpc_asyncio", "false"),
+])
+@mock.patch.object(CatalogServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(CatalogServiceClient))
+@mock.patch.object(CatalogServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(CatalogServiceAsyncClient))
+@mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "auto"})
+def test_catalog_service_client_mtls_env_auto(client_class, transport_class, transport_name, use_client_cert_env):
+    # This tests the endpoint autoswitch behavior. Endpoint is autoswitched to the default
+    # mtls endpoint, if GOOGLE_API_USE_CLIENT_CERTIFICATE is "true" and client cert exists.
+
+    # Check the case client_cert_source is provided. Whether client cert is used depends on
+    # GOOGLE_API_USE_CLIENT_CERTIFICATE value.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}):
+        options = client_options.ClientOptions(client_cert_source=client_cert_source_callback)
+        with mock.patch.object(transport_class, '__init__') as patched:
+            patched.return_value = None
+            client = client_class(client_options=options, transport=transport_name)
+
+            if use_client_cert_env == "false":
+                expected_client_cert_source = None
+                expected_host = client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE)
+            else:
+                expected_client_cert_source = client_cert_source_callback
+                expected_host = client.DEFAULT_MTLS_ENDPOINT
+
+            patched.assert_called_once_with(
+                credentials=None,
+                credentials_file=None,
+                host=expected_host,
+                scopes=None,
+                client_cert_source_for_mtls=expected_client_cert_source,
+                quota_project_id=None,
+                client_info=transports.base.DEFAULT_CLIENT_INFO,
+                always_use_jwt_access=True,
+                api_audience=None,
+            )
+
+    # Check the case ADC client cert is provided. Whether client cert is used depends on
+    # GOOGLE_API_USE_CLIENT_CERTIFICATE value.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}):
+        with mock.patch.object(transport_class, '__init__') as patched:
+            with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True):
+                with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=client_cert_source_callback):
+                    if use_client_cert_env == "false":
+                        expected_host = client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE)
+                        expected_client_cert_source = None
+                    else:
+                        expected_host = client.DEFAULT_MTLS_ENDPOINT
+                        expected_client_cert_source = client_cert_source_callback
+
+                    patched.return_value = None
+                    client = client_class(transport=transport_name)
+                    patched.assert_called_once_with(
+                        credentials=None,
+                        credentials_file=None,
+                        host=expected_host,
+                        scopes=None,
+                        client_cert_source_for_mtls=expected_client_cert_source,
+                        quota_project_id=None,
+                        client_info=transports.base.DEFAULT_CLIENT_INFO,
+                        always_use_jwt_access=True,
+                        api_audience=None,
+                    )
+
+    # Check the case client_cert_source and ADC client cert are not provided.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}):
+        with mock.patch.object(transport_class, '__init__') as patched:
+            with mock.patch("google.auth.transport.mtls.has_default_client_cert_source", return_value=False):
+                patched.return_value = None
+                client = client_class(transport=transport_name)
+                patched.assert_called_once_with(
+                    credentials=None,
+                    credentials_file=None,
+                    host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
+                    scopes=None,
+                    client_cert_source_for_mtls=None,
+                    quota_project_id=None,
+                    client_info=transports.base.DEFAULT_CLIENT_INFO,
+                    always_use_jwt_access=True,
+                    api_audience=None,
+                )
+
+
+@pytest.mark.parametrize("client_class", [
+    CatalogServiceClient, CatalogServiceAsyncClient
+])
+@mock.patch.object(CatalogServiceClient, "DEFAULT_ENDPOINT", modify_default_endpoint(CatalogServiceClient))
+@mock.patch.object(CatalogServiceAsyncClient, "DEFAULT_ENDPOINT", modify_default_endpoint(CatalogServiceAsyncClient))
+def test_catalog_service_client_get_mtls_endpoint_and_cert_source(client_class):
+    mock_client_cert_source = mock.Mock()
+
+    # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "true".
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
+        mock_api_endpoint = "foo"
+        options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint)
+        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(options)
+        assert api_endpoint == mock_api_endpoint
+        assert cert_source == mock_client_cert_source
+
+    # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "false".
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "false"}):
+        mock_client_cert_source = mock.Mock()
+        mock_api_endpoint = "foo"
+        options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint)
+        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(options)
+        assert api_endpoint == mock_api_endpoint
+        assert cert_source is None
+
+    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "never".
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
+        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
+        assert api_endpoint == client_class.DEFAULT_ENDPOINT
+        assert cert_source is None
+
+    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "always".
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
+        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
+        assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT
+        assert cert_source is None
+
+    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert doesn't exist.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
+        with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=False):
+            api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
+            assert api_endpoint == client_class.DEFAULT_ENDPOINT
+            assert cert_source is None
+
+    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert exists.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
+        with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True):
+            with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=mock_client_cert_source):
+                api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
+                assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT
+                assert cert_source == mock_client_cert_source
+
+    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT has
+    # unsupported value.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}):
+        with pytest.raises(MutualTLSChannelError) as excinfo:
+            client_class.get_mtls_endpoint_and_cert_source()
+
+        assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`"
+
+    # Check the case GOOGLE_API_USE_CLIENT_CERTIFICATE has unsupported value.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}):
+        with pytest.raises(ValueError) as excinfo:
+            client_class.get_mtls_endpoint_and_cert_source()
+
+        assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`"
+
+@pytest.mark.parametrize("client_class", [
+    CatalogServiceClient, CatalogServiceAsyncClient
+])
+@mock.patch.object(CatalogServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(CatalogServiceClient))
+@mock.patch.object(CatalogServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(CatalogServiceAsyncClient))
+def test_catalog_service_client_client_api_endpoint(client_class):
+    mock_client_cert_source = client_cert_source_callback
+    api_override = "foo.com"
+    default_universe = CatalogServiceClient._DEFAULT_UNIVERSE
+    default_endpoint = CatalogServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=default_universe)
+    mock_universe = "bar.com"
+    mock_endpoint = CatalogServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=mock_universe)
+
+    # If ClientOptions.api_endpoint is set and GOOGLE_API_USE_CLIENT_CERTIFICATE="true",
+    # use ClientOptions.api_endpoint as the api endpoint regardless.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
+        with mock.patch("google.auth.transport.requests.AuthorizedSession.configure_mtls_channel"):
+            options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=api_override)
+            client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials())
+            assert client.api_endpoint == api_override
+
+    # If ClientOptions.api_endpoint is not set and GOOGLE_API_USE_MTLS_ENDPOINT="never",
+    # use the _DEFAULT_ENDPOINT_TEMPLATE populated with GDU as the api endpoint.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
+        client = client_class(credentials=ga_credentials.AnonymousCredentials())
+        assert client.api_endpoint == default_endpoint
+
+    # If ClientOptions.api_endpoint is not set and GOOGLE_API_USE_MTLS_ENDPOINT="always",
+    # use the DEFAULT_MTLS_ENDPOINT as the api endpoint.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
+        client = client_class(credentials=ga_credentials.AnonymousCredentials())
+        assert client.api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT
+
+    # If ClientOptions.api_endpoint is not set, GOOGLE_API_USE_MTLS_ENDPOINT="auto" (default),
+    # GOOGLE_API_USE_CLIENT_CERTIFICATE="false" (default), default cert source doesn't exist,
+    # and ClientOptions.universe_domain="bar.com",
+    # use the _DEFAULT_ENDPOINT_TEMPLATE populated with universe domain as the api endpoint.
+    options = client_options.ClientOptions()
+    universe_exists = hasattr(options, "universe_domain")
+    if universe_exists:
+        options = client_options.ClientOptions(universe_domain=mock_universe)
+        client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials())
+    else:
+        client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials())
+    assert client.api_endpoint == (mock_endpoint if universe_exists else default_endpoint)
+    assert client.universe_domain == (mock_universe if universe_exists else default_universe)
+
+    # If ClientOptions does not have a universe domain attribute and GOOGLE_API_USE_MTLS_ENDPOINT="never",
+    # use the _DEFAULT_ENDPOINT_TEMPLATE populated with GDU as the api endpoint.
+    options = client_options.ClientOptions()
+    if hasattr(options, "universe_domain"):
+        delattr(options, "universe_domain")
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
+        client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials())
+        assert client.api_endpoint == default_endpoint
+
+
+@pytest.mark.parametrize("client_class,transport_class,transport_name", [
+    (CatalogServiceClient, transports.CatalogServiceGrpcTransport, "grpc"),
+    (CatalogServiceAsyncClient, transports.CatalogServiceGrpcAsyncIOTransport, "grpc_asyncio"),
+])
+def test_catalog_service_client_client_options_scopes(client_class, transport_class, transport_name):
+    # Check the case scopes are provided.
+    options = client_options.ClientOptions(
+        scopes=["1", "2"],
+    )
+    with mock.patch.object(transport_class, '__init__') as patched:
+        patched.return_value = None
+        client = client_class(client_options=options, transport=transport_name)
+        patched.assert_called_once_with(
+            credentials=None,
+            credentials_file=None,
+            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
+            scopes=["1", "2"],
+            client_cert_source_for_mtls=None,
+            quota_project_id=None,
+            client_info=transports.base.DEFAULT_CLIENT_INFO,
+            always_use_jwt_access=True,
+            api_audience=None,
+        )
+
+@pytest.mark.parametrize("client_class,transport_class,transport_name,grpc_helpers", [
+    (CatalogServiceClient, transports.CatalogServiceGrpcTransport, "grpc", grpc_helpers),
+    (CatalogServiceAsyncClient, transports.CatalogServiceGrpcAsyncIOTransport, "grpc_asyncio", grpc_helpers_async),
+])
+def test_catalog_service_client_client_options_credentials_file(client_class, transport_class, transport_name, grpc_helpers):
+    # Check the case credentials file is provided.
+    options = client_options.ClientOptions(
+        credentials_file="credentials.json"
+    )
+
+    with mock.patch.object(transport_class, '__init__') as patched:
+        patched.return_value = None
+        client = client_class(client_options=options, transport=transport_name)
+        patched.assert_called_once_with(
+            credentials=None,
+            credentials_file="credentials.json",
+            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
+            scopes=None,
+            client_cert_source_for_mtls=None,
+            quota_project_id=None,
+            client_info=transports.base.DEFAULT_CLIENT_INFO,
+            always_use_jwt_access=True,
+            api_audience=None,
+        )
+
+def test_catalog_service_client_client_options_from_dict():
+    with mock.patch('google.cloud.dataplex_v1.services.catalog_service.transports.CatalogServiceGrpcTransport.__init__') as grpc_transport:
+        grpc_transport.return_value = None
+        client = CatalogServiceClient(
+            client_options={'api_endpoint': 'squid.clam.whelk'}
+        )
+        grpc_transport.assert_called_once_with(
+            credentials=None,
+            credentials_file=None,
+            host="squid.clam.whelk",
+            scopes=None,
+            client_cert_source_for_mtls=None,
+            quota_project_id=None,
+            client_info=transports.base.DEFAULT_CLIENT_INFO,
+            always_use_jwt_access=True,
+            api_audience=None,
+        )
+
+
+@pytest.mark.parametrize("client_class,transport_class,transport_name,grpc_helpers", [
+    (CatalogServiceClient, transports.CatalogServiceGrpcTransport, "grpc", grpc_helpers),
+    (CatalogServiceAsyncClient, transports.CatalogServiceGrpcAsyncIOTransport, "grpc_asyncio", grpc_helpers_async),
+])
+def test_catalog_service_client_create_channel_credentials_file(client_class, transport_class, transport_name, grpc_helpers):
+    # Check the case credentials file is provided.
+    options = client_options.ClientOptions(
+        credentials_file="credentials.json"
+    )
+
+    with mock.patch.object(transport_class, '__init__') as patched:
+        patched.return_value = None
+        client = client_class(client_options=options, transport=transport_name)
+        patched.assert_called_once_with(
+            credentials=None,
+            credentials_file="credentials.json",
+            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
+            scopes=None,
+            client_cert_source_for_mtls=None,
+            quota_project_id=None,
+            client_info=transports.base.DEFAULT_CLIENT_INFO,
+            always_use_jwt_access=True,
+            api_audience=None,
+        )
+
+    # test that the credentials from file are saved and used as the credentials.
+    with mock.patch.object(
+        google.auth, "load_credentials_from_file", autospec=True
+    ) as load_creds, mock.patch.object(
+        google.auth, "default", autospec=True
+    ) as adc, mock.patch.object(
+        grpc_helpers, "create_channel"
+    ) as create_channel:
+        creds = ga_credentials.AnonymousCredentials()
+        file_creds = ga_credentials.AnonymousCredentials()
+        load_creds.return_value = (file_creds, None)
+        adc.return_value = (creds, None)
+        client = client_class(client_options=options, transport=transport_name)
+        create_channel.assert_called_with(
+            "dataplex.googleapis.com:443",
+            credentials=file_creds,
+            credentials_file=None,
+            quota_project_id=None,
+            default_scopes=(
+                'https://www.googleapis.com/auth/cloud-platform',
+),
+            scopes=None,
+            default_host="dataplex.googleapis.com",
+            ssl_credentials=None,
+            options=[
+                ("grpc.max_send_message_length", -1),
+                ("grpc.max_receive_message_length", -1),
+            ],
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  catalog.CreateEntryTypeRequest,
+  dict,
+])
+def test_create_entry_type(request_type, transport: str = 'grpc'):
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_entry_type),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/spam')
+        response = client.create_entry_type(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = catalog.CreateEntryTypeRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+def test_create_entry_type_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = catalog.CreateEntryTypeRequest(
+        parent='parent_value',
+        entry_type_id='entry_type_id_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_entry_type),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.create_entry_type(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == catalog.CreateEntryTypeRequest(
+            parent='parent_value',
+            entry_type_id='entry_type_id_value',
+        )
+
+def test_create_entry_type_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = CatalogServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.create_entry_type in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.create_entry_type] = mock_rpc
+        request = {}
+        client.create_entry_type(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        client.create_entry_type(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_create_entry_type_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = CatalogServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.create_entry_type in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.create_entry_type] = mock_rpc
+
+        request = {}
+        await client.create_entry_type(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        await client.create_entry_type(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_create_entry_type_async(transport: str = 'grpc_asyncio', request_type=catalog.CreateEntryTypeRequest):
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_entry_type),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        response = await client.create_entry_type(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = catalog.CreateEntryTypeRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+@pytest.mark.asyncio
+async def test_create_entry_type_async_from_dict():
+    await test_create_entry_type_async(request_type=dict)
+
+def test_create_entry_type_field_headers():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.CreateEntryTypeRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_entry_type),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.create_entry_type(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_create_entry_type_field_headers_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.CreateEntryTypeRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_entry_type),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
+        await client.create_entry_type(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+def test_create_entry_type_flattened():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_entry_type),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.create_entry_type(
+            parent='parent_value',
+            entry_type=catalog.EntryType(name='name_value'),
+            entry_type_id='entry_type_id_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+        arg = args[0].entry_type
+        mock_val = catalog.EntryType(name='name_value')
+        assert arg == mock_val
+        arg = args[0].entry_type_id
+        mock_val = 'entry_type_id_value'
+        assert arg == mock_val
+
+
+def test_create_entry_type_flattened_error():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.create_entry_type(
+            catalog.CreateEntryTypeRequest(),
+            parent='parent_value',
+            entry_type=catalog.EntryType(name='name_value'),
+            entry_type_id='entry_type_id_value',
+        )
+
+@pytest.mark.asyncio
+async def test_create_entry_type_flattened_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_entry_type),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.create_entry_type(
+            parent='parent_value',
+            entry_type=catalog.EntryType(name='name_value'),
+            entry_type_id='entry_type_id_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+        arg = args[0].entry_type
+        mock_val = catalog.EntryType(name='name_value')
+        assert arg == mock_val
+        arg = args[0].entry_type_id
+        mock_val = 'entry_type_id_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_create_entry_type_flattened_error_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.create_entry_type(
+            catalog.CreateEntryTypeRequest(),
+            parent='parent_value',
+            entry_type=catalog.EntryType(name='name_value'),
+            entry_type_id='entry_type_id_value',
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  catalog.UpdateEntryTypeRequest,
+  dict,
+])
+def test_update_entry_type(request_type, transport: str = 'grpc'):
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_entry_type),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/spam')
+        response = client.update_entry_type(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = catalog.UpdateEntryTypeRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+def test_update_entry_type_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = catalog.UpdateEntryTypeRequest(
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_entry_type),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.update_entry_type(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == catalog.UpdateEntryTypeRequest(
+        )
+
+def test_update_entry_type_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = CatalogServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.update_entry_type in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.update_entry_type] = mock_rpc
+        request = {}
+        client.update_entry_type(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        client.update_entry_type(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_update_entry_type_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = CatalogServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.update_entry_type in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.update_entry_type] = mock_rpc
+
+        request = {}
+        await client.update_entry_type(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        await client.update_entry_type(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_update_entry_type_async(transport: str = 'grpc_asyncio', request_type=catalog.UpdateEntryTypeRequest):
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_entry_type),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        response = await client.update_entry_type(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = catalog.UpdateEntryTypeRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+@pytest.mark.asyncio
+async def test_update_entry_type_async_from_dict():
+    await test_update_entry_type_async(request_type=dict)
+
+def test_update_entry_type_field_headers():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.UpdateEntryTypeRequest()
+
+    request.entry_type.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_entry_type),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.update_entry_type(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'entry_type.name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_update_entry_type_field_headers_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.UpdateEntryTypeRequest()
+
+    request.entry_type.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_entry_type),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
+        await client.update_entry_type(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'entry_type.name=name_value',
+    ) in kw['metadata']
+
+
+def test_update_entry_type_flattened():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_entry_type),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.update_entry_type(
+            entry_type=catalog.EntryType(name='name_value'),
+            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].entry_type
+        mock_val = catalog.EntryType(name='name_value')
+        assert arg == mock_val
+        arg = args[0].update_mask
+        mock_val = field_mask_pb2.FieldMask(paths=['paths_value'])
+        assert arg == mock_val
+
+
+def test_update_entry_type_flattened_error():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.update_entry_type(
+            catalog.UpdateEntryTypeRequest(),
+            entry_type=catalog.EntryType(name='name_value'),
+            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
+        )
+
+@pytest.mark.asyncio
+async def test_update_entry_type_flattened_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_entry_type),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.update_entry_type(
+            entry_type=catalog.EntryType(name='name_value'),
+            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].entry_type
+        mock_val = catalog.EntryType(name='name_value')
+        assert arg == mock_val
+        arg = args[0].update_mask
+        mock_val = field_mask_pb2.FieldMask(paths=['paths_value'])
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_update_entry_type_flattened_error_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.update_entry_type(
+            catalog.UpdateEntryTypeRequest(),
+            entry_type=catalog.EntryType(name='name_value'),
+            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  catalog.DeleteEntryTypeRequest,
+  dict,
+])
+def test_delete_entry_type(request_type, transport: str = 'grpc'):
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_entry_type),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/spam')
+        response = client.delete_entry_type(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = catalog.DeleteEntryTypeRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+def test_delete_entry_type_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = catalog.DeleteEntryTypeRequest(
+        name='name_value',
+        etag='etag_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_entry_type),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.delete_entry_type(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == catalog.DeleteEntryTypeRequest(
+            name='name_value',
+            etag='etag_value',
+        )
+
+def test_delete_entry_type_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = CatalogServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.delete_entry_type in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.delete_entry_type] = mock_rpc
+        request = {}
+        client.delete_entry_type(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        client.delete_entry_type(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_delete_entry_type_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = CatalogServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.delete_entry_type in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.delete_entry_type] = mock_rpc
+
+        request = {}
+        await client.delete_entry_type(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        await client.delete_entry_type(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_delete_entry_type_async(transport: str = 'grpc_asyncio', request_type=catalog.DeleteEntryTypeRequest):
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_entry_type),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        response = await client.delete_entry_type(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = catalog.DeleteEntryTypeRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+@pytest.mark.asyncio
+async def test_delete_entry_type_async_from_dict():
+    await test_delete_entry_type_async(request_type=dict)
+
+def test_delete_entry_type_field_headers():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.DeleteEntryTypeRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_entry_type),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.delete_entry_type(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_delete_entry_type_field_headers_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.DeleteEntryTypeRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_entry_type),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
+        await client.delete_entry_type(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+def test_delete_entry_type_flattened():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_entry_type),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.delete_entry_type(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+
+def test_delete_entry_type_flattened_error():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.delete_entry_type(
+            catalog.DeleteEntryTypeRequest(),
+            name='name_value',
+        )
+
+@pytest.mark.asyncio
+async def test_delete_entry_type_flattened_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_entry_type),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.delete_entry_type(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_delete_entry_type_flattened_error_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.delete_entry_type(
+            catalog.DeleteEntryTypeRequest(),
+            name='name_value',
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  catalog.ListEntryTypesRequest,
+  dict,
+])
+def test_list_entry_types(request_type, transport: str = 'grpc'):
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_entry_types),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = catalog.ListEntryTypesResponse(
+            next_page_token='next_page_token_value',
+            unreachable_locations=['unreachable_locations_value'],
+        )
+        response = client.list_entry_types(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = catalog.ListEntryTypesRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, pagers.ListEntryTypesPager)
+    assert response.next_page_token == 'next_page_token_value'
+    assert response.unreachable_locations == ['unreachable_locations_value']
+
+
+def test_list_entry_types_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = catalog.ListEntryTypesRequest(
+        parent='parent_value',
+        page_token='page_token_value',
+        filter='filter_value',
+        order_by='order_by_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_entry_types),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.list_entry_types(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == catalog.ListEntryTypesRequest(
+            parent='parent_value',
+            page_token='page_token_value',
+            filter='filter_value',
+            order_by='order_by_value',
+        )
+
+def test_list_entry_types_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = CatalogServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.list_entry_types in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.list_entry_types] = mock_rpc
+        request = {}
+        client.list_entry_types(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.list_entry_types(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_list_entry_types_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = CatalogServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.list_entry_types in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.list_entry_types] = mock_rpc
+
+        request = {}
+        await client.list_entry_types(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.list_entry_types(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_list_entry_types_async(transport: str = 'grpc_asyncio', request_type=catalog.ListEntryTypesRequest):
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_entry_types),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(catalog.ListEntryTypesResponse(
+            next_page_token='next_page_token_value',
+            unreachable_locations=['unreachable_locations_value'],
+        ))
+        response = await client.list_entry_types(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = catalog.ListEntryTypesRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, pagers.ListEntryTypesAsyncPager)
+    assert response.next_page_token == 'next_page_token_value'
+    assert response.unreachable_locations == ['unreachable_locations_value']
+
+
+@pytest.mark.asyncio
+async def test_list_entry_types_async_from_dict():
+    await test_list_entry_types_async(request_type=dict)
+
+def test_list_entry_types_field_headers():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.ListEntryTypesRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_entry_types),
+            '__call__') as call:
+        call.return_value = catalog.ListEntryTypesResponse()
+        client.list_entry_types(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_list_entry_types_field_headers_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.ListEntryTypesRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_entry_types),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.ListEntryTypesResponse())
+        await client.list_entry_types(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+def test_list_entry_types_flattened():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_entry_types),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = catalog.ListEntryTypesResponse()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.list_entry_types(
+            parent='parent_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+
+
+def test_list_entry_types_flattened_error():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.list_entry_types(
+            catalog.ListEntryTypesRequest(),
+            parent='parent_value',
+        )
+
+@pytest.mark.asyncio
+async def test_list_entry_types_flattened_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_entry_types),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = catalog.ListEntryTypesResponse()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.ListEntryTypesResponse())
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.list_entry_types(
+            parent='parent_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_list_entry_types_flattened_error_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.list_entry_types(
+            catalog.ListEntryTypesRequest(),
+            parent='parent_value',
+        )
+
+
+def test_list_entry_types_pager(transport_name: str = "grpc"):
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport_name,
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_entry_types),
+            '__call__') as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            catalog.ListEntryTypesResponse(
+                entry_types=[
+                    catalog.EntryType(),
+                    catalog.EntryType(),
+                    catalog.EntryType(),
+                ],
+                next_page_token='abc',
+            ),
+            catalog.ListEntryTypesResponse(
+                entry_types=[],
+                next_page_token='def',
+            ),
+            catalog.ListEntryTypesResponse(
+                entry_types=[
+                    catalog.EntryType(),
+                ],
+                next_page_token='ghi',
+            ),
+            catalog.ListEntryTypesResponse(
+                entry_types=[
+                    catalog.EntryType(),
+                    catalog.EntryType(),
+                ],
+            ),
+            RuntimeError,
+        )
+
+        expected_metadata = ()
+        retry = retries.Retry()
+        timeout = 5
+        expected_metadata = tuple(expected_metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ('parent', ''),
+            )),
+        )
+        pager = client.list_entry_types(request={}, retry=retry, timeout=timeout)
+
+        assert pager._metadata == expected_metadata
+        assert pager._retry == retry
+        assert pager._timeout == timeout
+
+        results = list(pager)
+        assert len(results) == 6
+        assert all(isinstance(i, catalog.EntryType)
+                   for i in results)
+def test_list_entry_types_pages(transport_name: str = "grpc"):
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport_name,
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_entry_types),
+            '__call__') as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            catalog.ListEntryTypesResponse(
+                entry_types=[
+                    catalog.EntryType(),
+                    catalog.EntryType(),
+                    catalog.EntryType(),
+                ],
+                next_page_token='abc',
+            ),
+            catalog.ListEntryTypesResponse(
+                entry_types=[],
+                next_page_token='def',
+            ),
+            catalog.ListEntryTypesResponse(
+                entry_types=[
+                    catalog.EntryType(),
+                ],
+                next_page_token='ghi',
+            ),
+            catalog.ListEntryTypesResponse(
+                entry_types=[
+                    catalog.EntryType(),
+                    catalog.EntryType(),
+                ],
+            ),
+            RuntimeError,
+        )
+        pages = list(client.list_entry_types(request={}).pages)
+        for page_, token in zip(pages, ['abc','def','ghi', '']):
+            assert page_.raw_page.next_page_token == token
+
+@pytest.mark.asyncio
+async def test_list_entry_types_async_pager():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_entry_types),
+            '__call__', new_callable=mock.AsyncMock) as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            catalog.ListEntryTypesResponse(
+                entry_types=[
+                    catalog.EntryType(),
+                    catalog.EntryType(),
+                    catalog.EntryType(),
+                ],
+                next_page_token='abc',
+            ),
+            catalog.ListEntryTypesResponse(
+                entry_types=[],
+                next_page_token='def',
+            ),
+            catalog.ListEntryTypesResponse(
+                entry_types=[
+                    catalog.EntryType(),
+                ],
+                next_page_token='ghi',
+            ),
+            catalog.ListEntryTypesResponse(
+                entry_types=[
+                    catalog.EntryType(),
+                    catalog.EntryType(),
+                ],
+            ),
+            RuntimeError,
+        )
+        async_pager = await client.list_entry_types(request={},)
+        assert async_pager.next_page_token == 'abc'
+        responses = []
+        async for response in async_pager: # pragma: no branch
+            responses.append(response)
+
+        assert len(responses) == 6
+        assert all(isinstance(i, catalog.EntryType)
+                for i in responses)
+
+
+@pytest.mark.asyncio
+async def test_list_entry_types_async_pages():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_entry_types),
+            '__call__', new_callable=mock.AsyncMock) as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            catalog.ListEntryTypesResponse(
+                entry_types=[
+                    catalog.EntryType(),
+                    catalog.EntryType(),
+                    catalog.EntryType(),
+                ],
+                next_page_token='abc',
+            ),
+            catalog.ListEntryTypesResponse(
+                entry_types=[],
+                next_page_token='def',
+            ),
+            catalog.ListEntryTypesResponse(
+                entry_types=[
+                    catalog.EntryType(),
+                ],
+                next_page_token='ghi',
+            ),
+            catalog.ListEntryTypesResponse(
+                entry_types=[
+                    catalog.EntryType(),
+                    catalog.EntryType(),
+                ],
+            ),
+            RuntimeError,
+        )
+        pages = []
+        # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch`
+        # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372
+        async for page_ in ( # pragma: no branch
+            await client.list_entry_types(request={})
+        ).pages:
+            pages.append(page_)
+        for page_, token in zip(pages, ['abc','def','ghi', '']):
+            assert page_.raw_page.next_page_token == token
+
+@pytest.mark.parametrize("request_type", [
+  catalog.GetEntryTypeRequest,
+  dict,
+])
+def test_get_entry_type(request_type, transport: str = 'grpc'):
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_entry_type),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = catalog.EntryType(
+            name='name_value',
+            uid='uid_value',
+            description='description_value',
+            display_name='display_name_value',
+            etag='etag_value',
+            type_aliases=['type_aliases_value'],
+            platform='platform_value',
+            system='system_value',
+        )
+        response = client.get_entry_type(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = catalog.GetEntryTypeRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, catalog.EntryType)
+    assert response.name == 'name_value'
+    assert response.uid == 'uid_value'
+    assert response.description == 'description_value'
+    assert response.display_name == 'display_name_value'
+    assert response.etag == 'etag_value'
+    assert response.type_aliases == ['type_aliases_value']
+    assert response.platform == 'platform_value'
+    assert response.system == 'system_value'
+
+
+def test_get_entry_type_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = catalog.GetEntryTypeRequest(
+        name='name_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_entry_type),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.get_entry_type(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == catalog.GetEntryTypeRequest(
+            name='name_value',
+        )
+
+def test_get_entry_type_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = CatalogServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.get_entry_type in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.get_entry_type] = mock_rpc
+        request = {}
+        client.get_entry_type(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.get_entry_type(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_get_entry_type_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = CatalogServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.get_entry_type in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.get_entry_type] = mock_rpc
+
+        request = {}
+        await client.get_entry_type(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.get_entry_type(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_get_entry_type_async(transport: str = 'grpc_asyncio', request_type=catalog.GetEntryTypeRequest):
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_entry_type),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(catalog.EntryType(
+            name='name_value',
+            uid='uid_value',
+            description='description_value',
+            display_name='display_name_value',
+            etag='etag_value',
+            type_aliases=['type_aliases_value'],
+            platform='platform_value',
+            system='system_value',
+        ))
+        response = await client.get_entry_type(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = catalog.GetEntryTypeRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, catalog.EntryType)
+    assert response.name == 'name_value'
+    assert response.uid == 'uid_value'
+    assert response.description == 'description_value'
+    assert response.display_name == 'display_name_value'
+    assert response.etag == 'etag_value'
+    assert response.type_aliases == ['type_aliases_value']
+    assert response.platform == 'platform_value'
+    assert response.system == 'system_value'
+
+
+@pytest.mark.asyncio
+async def test_get_entry_type_async_from_dict():
+    await test_get_entry_type_async(request_type=dict)
+
+def test_get_entry_type_field_headers():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.GetEntryTypeRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_entry_type),
+            '__call__') as call:
+        call.return_value = catalog.EntryType()
+        client.get_entry_type(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_get_entry_type_field_headers_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.GetEntryTypeRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_entry_type),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.EntryType())
+        await client.get_entry_type(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+def test_get_entry_type_flattened():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_entry_type),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = catalog.EntryType()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.get_entry_type(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+
+def test_get_entry_type_flattened_error():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.get_entry_type(
+            catalog.GetEntryTypeRequest(),
+            name='name_value',
+        )
+
+@pytest.mark.asyncio
+async def test_get_entry_type_flattened_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_entry_type),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = catalog.EntryType()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.EntryType())
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.get_entry_type(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_get_entry_type_flattened_error_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.get_entry_type(
+            catalog.GetEntryTypeRequest(),
+            name='name_value',
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  catalog.CreateAspectTypeRequest,
+  dict,
+])
+def test_create_aspect_type(request_type, transport: str = 'grpc'):
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_aspect_type),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/spam')
+        response = client.create_aspect_type(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = catalog.CreateAspectTypeRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+def test_create_aspect_type_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = catalog.CreateAspectTypeRequest(
+        parent='parent_value',
+        aspect_type_id='aspect_type_id_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_aspect_type),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.create_aspect_type(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == catalog.CreateAspectTypeRequest(
+            parent='parent_value',
+            aspect_type_id='aspect_type_id_value',
+        )
+
+def test_create_aspect_type_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = CatalogServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.create_aspect_type in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.create_aspect_type] = mock_rpc
+        request = {}
+        client.create_aspect_type(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        client.create_aspect_type(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_create_aspect_type_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = CatalogServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.create_aspect_type in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.create_aspect_type] = mock_rpc
+
+        request = {}
+        await client.create_aspect_type(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        await client.create_aspect_type(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_create_aspect_type_async(transport: str = 'grpc_asyncio', request_type=catalog.CreateAspectTypeRequest):
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_aspect_type),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        response = await client.create_aspect_type(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = catalog.CreateAspectTypeRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+@pytest.mark.asyncio
+async def test_create_aspect_type_async_from_dict():
+    await test_create_aspect_type_async(request_type=dict)
+
+def test_create_aspect_type_field_headers():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.CreateAspectTypeRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_aspect_type),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.create_aspect_type(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_create_aspect_type_field_headers_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.CreateAspectTypeRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_aspect_type),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
+        await client.create_aspect_type(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+def test_create_aspect_type_flattened():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_aspect_type),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.create_aspect_type(
+            parent='parent_value',
+            aspect_type=catalog.AspectType(name='name_value'),
+            aspect_type_id='aspect_type_id_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+        arg = args[0].aspect_type
+        mock_val = catalog.AspectType(name='name_value')
+        assert arg == mock_val
+        arg = args[0].aspect_type_id
+        mock_val = 'aspect_type_id_value'
+        assert arg == mock_val
+
+
+def test_create_aspect_type_flattened_error():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.create_aspect_type(
+            catalog.CreateAspectTypeRequest(),
+            parent='parent_value',
+            aspect_type=catalog.AspectType(name='name_value'),
+            aspect_type_id='aspect_type_id_value',
+        )
+
+@pytest.mark.asyncio
+async def test_create_aspect_type_flattened_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_aspect_type),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.create_aspect_type(
+            parent='parent_value',
+            aspect_type=catalog.AspectType(name='name_value'),
+            aspect_type_id='aspect_type_id_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+        arg = args[0].aspect_type
+        mock_val = catalog.AspectType(name='name_value')
+        assert arg == mock_val
+        arg = args[0].aspect_type_id
+        mock_val = 'aspect_type_id_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_create_aspect_type_flattened_error_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.create_aspect_type(
+            catalog.CreateAspectTypeRequest(),
+            parent='parent_value',
+            aspect_type=catalog.AspectType(name='name_value'),
+            aspect_type_id='aspect_type_id_value',
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  catalog.UpdateAspectTypeRequest,
+  dict,
+])
+def test_update_aspect_type(request_type, transport: str = 'grpc'):
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_aspect_type),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/spam')
+        response = client.update_aspect_type(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = catalog.UpdateAspectTypeRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+def test_update_aspect_type_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = catalog.UpdateAspectTypeRequest(
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_aspect_type),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.update_aspect_type(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == catalog.UpdateAspectTypeRequest(
+        )
+
+def test_update_aspect_type_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = CatalogServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.update_aspect_type in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.update_aspect_type] = mock_rpc
+        request = {}
+        client.update_aspect_type(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        client.update_aspect_type(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_update_aspect_type_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = CatalogServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.update_aspect_type in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.update_aspect_type] = mock_rpc
+
+        request = {}
+        await client.update_aspect_type(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        await client.update_aspect_type(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_update_aspect_type_async(transport: str = 'grpc_asyncio', request_type=catalog.UpdateAspectTypeRequest):
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_aspect_type),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        response = await client.update_aspect_type(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = catalog.UpdateAspectTypeRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+@pytest.mark.asyncio
+async def test_update_aspect_type_async_from_dict():
+    await test_update_aspect_type_async(request_type=dict)
+
+def test_update_aspect_type_field_headers():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.UpdateAspectTypeRequest()
+
+    request.aspect_type.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_aspect_type),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.update_aspect_type(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'aspect_type.name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_update_aspect_type_field_headers_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.UpdateAspectTypeRequest()
+
+    request.aspect_type.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_aspect_type),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
+        await client.update_aspect_type(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'aspect_type.name=name_value',
+    ) in kw['metadata']
+
+
+def test_update_aspect_type_flattened():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_aspect_type),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.update_aspect_type(
+            aspect_type=catalog.AspectType(name='name_value'),
+            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].aspect_type
+        mock_val = catalog.AspectType(name='name_value')
+        assert arg == mock_val
+        arg = args[0].update_mask
+        mock_val = field_mask_pb2.FieldMask(paths=['paths_value'])
+        assert arg == mock_val
+
+
+def test_update_aspect_type_flattened_error():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.update_aspect_type(
+            catalog.UpdateAspectTypeRequest(),
+            aspect_type=catalog.AspectType(name='name_value'),
+            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
+        )
+
+@pytest.mark.asyncio
+async def test_update_aspect_type_flattened_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_aspect_type),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.update_aspect_type(
+            aspect_type=catalog.AspectType(name='name_value'),
+            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].aspect_type
+        mock_val = catalog.AspectType(name='name_value')
+        assert arg == mock_val
+        arg = args[0].update_mask
+        mock_val = field_mask_pb2.FieldMask(paths=['paths_value'])
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_update_aspect_type_flattened_error_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.update_aspect_type(
+            catalog.UpdateAspectTypeRequest(),
+            aspect_type=catalog.AspectType(name='name_value'),
+            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  catalog.DeleteAspectTypeRequest,
+  dict,
+])
+def test_delete_aspect_type(request_type, transport: str = 'grpc'):
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_aspect_type),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/spam')
+        response = client.delete_aspect_type(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = catalog.DeleteAspectTypeRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+def test_delete_aspect_type_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = catalog.DeleteAspectTypeRequest(
+        name='name_value',
+        etag='etag_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_aspect_type),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.delete_aspect_type(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == catalog.DeleteAspectTypeRequest(
+            name='name_value',
+            etag='etag_value',
+        )
+
+def test_delete_aspect_type_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = CatalogServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.delete_aspect_type in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.delete_aspect_type] = mock_rpc
+        request = {}
+        client.delete_aspect_type(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        client.delete_aspect_type(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_delete_aspect_type_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = CatalogServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.delete_aspect_type in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.delete_aspect_type] = mock_rpc
+
+        request = {}
+        await client.delete_aspect_type(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        await client.delete_aspect_type(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_delete_aspect_type_async(transport: str = 'grpc_asyncio', request_type=catalog.DeleteAspectTypeRequest):
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_aspect_type),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        response = await client.delete_aspect_type(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = catalog.DeleteAspectTypeRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+@pytest.mark.asyncio
+async def test_delete_aspect_type_async_from_dict():
+    await test_delete_aspect_type_async(request_type=dict)
+
+def test_delete_aspect_type_field_headers():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.DeleteAspectTypeRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_aspect_type),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.delete_aspect_type(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_delete_aspect_type_field_headers_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.DeleteAspectTypeRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_aspect_type),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
+        await client.delete_aspect_type(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+def test_delete_aspect_type_flattened():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_aspect_type),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.delete_aspect_type(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+
+def test_delete_aspect_type_flattened_error():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.delete_aspect_type(
+            catalog.DeleteAspectTypeRequest(),
+            name='name_value',
+        )
+
+@pytest.mark.asyncio
+async def test_delete_aspect_type_flattened_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_aspect_type),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.delete_aspect_type(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_delete_aspect_type_flattened_error_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.delete_aspect_type(
+            catalog.DeleteAspectTypeRequest(),
+            name='name_value',
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  catalog.ListAspectTypesRequest,
+  dict,
+])
+def test_list_aspect_types(request_type, transport: str = 'grpc'):
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_aspect_types),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = catalog.ListAspectTypesResponse(
+            next_page_token='next_page_token_value',
+            unreachable_locations=['unreachable_locations_value'],
+        )
+        response = client.list_aspect_types(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = catalog.ListAspectTypesRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, pagers.ListAspectTypesPager)
+    assert response.next_page_token == 'next_page_token_value'
+    assert response.unreachable_locations == ['unreachable_locations_value']
+
+
+def test_list_aspect_types_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = catalog.ListAspectTypesRequest(
+        parent='parent_value',
+        page_token='page_token_value',
+        filter='filter_value',
+        order_by='order_by_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_aspect_types),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.list_aspect_types(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == catalog.ListAspectTypesRequest(
+            parent='parent_value',
+            page_token='page_token_value',
+            filter='filter_value',
+            order_by='order_by_value',
+        )
+
+def test_list_aspect_types_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = CatalogServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.list_aspect_types in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.list_aspect_types] = mock_rpc
+        request = {}
+        client.list_aspect_types(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.list_aspect_types(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_list_aspect_types_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = CatalogServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.list_aspect_types in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.list_aspect_types] = mock_rpc
+
+        request = {}
+        await client.list_aspect_types(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.list_aspect_types(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_list_aspect_types_async(transport: str = 'grpc_asyncio', request_type=catalog.ListAspectTypesRequest):
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_aspect_types),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(catalog.ListAspectTypesResponse(
+            next_page_token='next_page_token_value',
+            unreachable_locations=['unreachable_locations_value'],
+        ))
+        response = await client.list_aspect_types(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = catalog.ListAspectTypesRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, pagers.ListAspectTypesAsyncPager)
+    assert response.next_page_token == 'next_page_token_value'
+    assert response.unreachable_locations == ['unreachable_locations_value']
+
+
+@pytest.mark.asyncio
+async def test_list_aspect_types_async_from_dict():
+    await test_list_aspect_types_async(request_type=dict)
+
+def test_list_aspect_types_field_headers():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.ListAspectTypesRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_aspect_types),
+            '__call__') as call:
+        call.return_value = catalog.ListAspectTypesResponse()
+        client.list_aspect_types(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_list_aspect_types_field_headers_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.ListAspectTypesRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_aspect_types),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.ListAspectTypesResponse())
+        await client.list_aspect_types(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+def test_list_aspect_types_flattened():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_aspect_types),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = catalog.ListAspectTypesResponse()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.list_aspect_types(
+            parent='parent_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+
+
+def test_list_aspect_types_flattened_error():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.list_aspect_types(
+            catalog.ListAspectTypesRequest(),
+            parent='parent_value',
+        )
+
+@pytest.mark.asyncio
+async def test_list_aspect_types_flattened_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_aspect_types),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = catalog.ListAspectTypesResponse()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.ListAspectTypesResponse())
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.list_aspect_types(
+            parent='parent_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_list_aspect_types_flattened_error_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.list_aspect_types(
+            catalog.ListAspectTypesRequest(),
+            parent='parent_value',
+        )
+
+
+def test_list_aspect_types_pager(transport_name: str = "grpc"):
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport_name,
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_aspect_types),
+            '__call__') as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            catalog.ListAspectTypesResponse(
+                aspect_types=[
+                    catalog.AspectType(),
+                    catalog.AspectType(),
+                    catalog.AspectType(),
+                ],
+                next_page_token='abc',
+            ),
+            catalog.ListAspectTypesResponse(
+                aspect_types=[],
+                next_page_token='def',
+            ),
+            catalog.ListAspectTypesResponse(
+                aspect_types=[
+                    catalog.AspectType(),
+                ],
+                next_page_token='ghi',
+            ),
+            catalog.ListAspectTypesResponse(
+                aspect_types=[
+                    catalog.AspectType(),
+                    catalog.AspectType(),
+                ],
+            ),
+            RuntimeError,
+        )
+
+        expected_metadata = ()
+        retry = retries.Retry()
+        timeout = 5
+        expected_metadata = tuple(expected_metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ('parent', ''),
+            )),
+        )
+        pager = client.list_aspect_types(request={}, retry=retry, timeout=timeout)
+
+        assert pager._metadata == expected_metadata
+        assert pager._retry == retry
+        assert pager._timeout == timeout
+
+        results = list(pager)
+        assert len(results) == 6
+        assert all(isinstance(i, catalog.AspectType)
+                   for i in results)
+def test_list_aspect_types_pages(transport_name: str = "grpc"):
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport_name,
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_aspect_types),
+            '__call__') as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            catalog.ListAspectTypesResponse(
+                aspect_types=[
+                    catalog.AspectType(),
+                    catalog.AspectType(),
+                    catalog.AspectType(),
+                ],
+                next_page_token='abc',
+            ),
+            catalog.ListAspectTypesResponse(
+                aspect_types=[],
+                next_page_token='def',
+            ),
+            catalog.ListAspectTypesResponse(
+                aspect_types=[
+                    catalog.AspectType(),
+                ],
+                next_page_token='ghi',
+            ),
+            catalog.ListAspectTypesResponse(
+                aspect_types=[
+                    catalog.AspectType(),
+                    catalog.AspectType(),
+                ],
+            ),
+            RuntimeError,
+        )
+        pages = list(client.list_aspect_types(request={}).pages)
+        for page_, token in zip(pages, ['abc','def','ghi', '']):
+            assert page_.raw_page.next_page_token == token
+
+@pytest.mark.asyncio
+async def test_list_aspect_types_async_pager():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_aspect_types),
+            '__call__', new_callable=mock.AsyncMock) as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            catalog.ListAspectTypesResponse(
+                aspect_types=[
+                    catalog.AspectType(),
+                    catalog.AspectType(),
+                    catalog.AspectType(),
+                ],
+                next_page_token='abc',
+            ),
+            catalog.ListAspectTypesResponse(
+                aspect_types=[],
+                next_page_token='def',
+            ),
+            catalog.ListAspectTypesResponse(
+                aspect_types=[
+                    catalog.AspectType(),
+                ],
+                next_page_token='ghi',
+            ),
+            catalog.ListAspectTypesResponse(
+                aspect_types=[
+                    catalog.AspectType(),
+                    catalog.AspectType(),
+                ],
+            ),
+            RuntimeError,
+        )
+        async_pager = await client.list_aspect_types(request={},)
+        assert async_pager.next_page_token == 'abc'
+        responses = []
+        async for response in async_pager: # pragma: no branch
+            responses.append(response)
+
+        assert len(responses) == 6
+        assert all(isinstance(i, catalog.AspectType)
+                for i in responses)
+
+
+@pytest.mark.asyncio
+async def test_list_aspect_types_async_pages():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_aspect_types),
+            '__call__', new_callable=mock.AsyncMock) as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            catalog.ListAspectTypesResponse(
+                aspect_types=[
+                    catalog.AspectType(),
+                    catalog.AspectType(),
+                    catalog.AspectType(),
+                ],
+                next_page_token='abc',
+            ),
+            catalog.ListAspectTypesResponse(
+                aspect_types=[],
+                next_page_token='def',
+            ),
+            catalog.ListAspectTypesResponse(
+                aspect_types=[
+                    catalog.AspectType(),
+                ],
+                next_page_token='ghi',
+            ),
+            catalog.ListAspectTypesResponse(
+                aspect_types=[
+                    catalog.AspectType(),
+                    catalog.AspectType(),
+                ],
+            ),
+            RuntimeError,
+        )
+        pages = []
+        # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch`
+        # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372
+        async for page_ in ( # pragma: no branch
+            await client.list_aspect_types(request={})
+        ).pages:
+            pages.append(page_)
+        for page_, token in zip(pages, ['abc','def','ghi', '']):
+            assert page_.raw_page.next_page_token == token
+
+@pytest.mark.parametrize("request_type", [
+  catalog.GetAspectTypeRequest,
+  dict,
+])
+def test_get_aspect_type(request_type, transport: str = 'grpc'):
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_aspect_type),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = catalog.AspectType(
+            name='name_value',
+            uid='uid_value',
+            description='description_value',
+            display_name='display_name_value',
+            etag='etag_value',
+            transfer_status=catalog.TransferStatus.TRANSFER_STATUS_MIGRATED,
+        )
+        response = client.get_aspect_type(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = catalog.GetAspectTypeRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, catalog.AspectType)
+    assert response.name == 'name_value'
+    assert response.uid == 'uid_value'
+    assert response.description == 'description_value'
+    assert response.display_name == 'display_name_value'
+    assert response.etag == 'etag_value'
+    assert response.transfer_status == catalog.TransferStatus.TRANSFER_STATUS_MIGRATED
+
+
+def test_get_aspect_type_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = catalog.GetAspectTypeRequest(
+        name='name_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_aspect_type),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.get_aspect_type(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == catalog.GetAspectTypeRequest(
+            name='name_value',
+        )
+
+def test_get_aspect_type_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = CatalogServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.get_aspect_type in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.get_aspect_type] = mock_rpc
+        request = {}
+        client.get_aspect_type(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.get_aspect_type(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_get_aspect_type_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = CatalogServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.get_aspect_type in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.get_aspect_type] = mock_rpc
+
+        request = {}
+        await client.get_aspect_type(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.get_aspect_type(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_get_aspect_type_async(transport: str = 'grpc_asyncio', request_type=catalog.GetAspectTypeRequest):
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_aspect_type),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(catalog.AspectType(
+            name='name_value',
+            uid='uid_value',
+            description='description_value',
+            display_name='display_name_value',
+            etag='etag_value',
+            transfer_status=catalog.TransferStatus.TRANSFER_STATUS_MIGRATED,
+        ))
+        response = await client.get_aspect_type(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = catalog.GetAspectTypeRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, catalog.AspectType)
+    assert response.name == 'name_value'
+    assert response.uid == 'uid_value'
+    assert response.description == 'description_value'
+    assert response.display_name == 'display_name_value'
+    assert response.etag == 'etag_value'
+    assert response.transfer_status == catalog.TransferStatus.TRANSFER_STATUS_MIGRATED
+
+
+@pytest.mark.asyncio
+async def test_get_aspect_type_async_from_dict():
+    await test_get_aspect_type_async(request_type=dict)
+
+def test_get_aspect_type_field_headers():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.GetAspectTypeRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_aspect_type),
+            '__call__') as call:
+        call.return_value = catalog.AspectType()
+        client.get_aspect_type(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_get_aspect_type_field_headers_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.GetAspectTypeRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_aspect_type),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.AspectType())
+        await client.get_aspect_type(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+def test_get_aspect_type_flattened():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_aspect_type),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = catalog.AspectType()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.get_aspect_type(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+
+def test_get_aspect_type_flattened_error():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.get_aspect_type(
+            catalog.GetAspectTypeRequest(),
+            name='name_value',
+        )
+
+@pytest.mark.asyncio
+async def test_get_aspect_type_flattened_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_aspect_type),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = catalog.AspectType()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.AspectType())
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.get_aspect_type(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_get_aspect_type_flattened_error_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.get_aspect_type(
+            catalog.GetAspectTypeRequest(),
+            name='name_value',
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  catalog.CreateEntryGroupRequest,
+  dict,
+])
+def test_create_entry_group(request_type, transport: str = 'grpc'):
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_entry_group),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/spam')
+        response = client.create_entry_group(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = catalog.CreateEntryGroupRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+def test_create_entry_group_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = catalog.CreateEntryGroupRequest(
+        parent='parent_value',
+        entry_group_id='entry_group_id_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_entry_group),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.create_entry_group(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == catalog.CreateEntryGroupRequest(
+            parent='parent_value',
+            entry_group_id='entry_group_id_value',
+        )
+
+def test_create_entry_group_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = CatalogServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.create_entry_group in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.create_entry_group] = mock_rpc
+        request = {}
+        client.create_entry_group(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        client.create_entry_group(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_create_entry_group_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = CatalogServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.create_entry_group in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.create_entry_group] = mock_rpc
+
+        request = {}
+        await client.create_entry_group(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        await client.create_entry_group(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_create_entry_group_async(transport: str = 'grpc_asyncio', request_type=catalog.CreateEntryGroupRequest):
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_entry_group),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        response = await client.create_entry_group(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = catalog.CreateEntryGroupRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+@pytest.mark.asyncio
+async def test_create_entry_group_async_from_dict():
+    await test_create_entry_group_async(request_type=dict)
+
+def test_create_entry_group_field_headers():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.CreateEntryGroupRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_entry_group),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.create_entry_group(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_create_entry_group_field_headers_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.CreateEntryGroupRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_entry_group),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
+        await client.create_entry_group(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+def test_create_entry_group_flattened():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_entry_group),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.create_entry_group(
+            parent='parent_value',
+            entry_group=catalog.EntryGroup(name='name_value'),
+            entry_group_id='entry_group_id_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+        arg = args[0].entry_group
+        mock_val = catalog.EntryGroup(name='name_value')
+        assert arg == mock_val
+        arg = args[0].entry_group_id
+        mock_val = 'entry_group_id_value'
+        assert arg == mock_val
+
+
+def test_create_entry_group_flattened_error():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.create_entry_group(
+            catalog.CreateEntryGroupRequest(),
+            parent='parent_value',
+            entry_group=catalog.EntryGroup(name='name_value'),
+            entry_group_id='entry_group_id_value',
+        )
+
+@pytest.mark.asyncio
+async def test_create_entry_group_flattened_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_entry_group),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.create_entry_group(
+            parent='parent_value',
+            entry_group=catalog.EntryGroup(name='name_value'),
+            entry_group_id='entry_group_id_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+        arg = args[0].entry_group
+        mock_val = catalog.EntryGroup(name='name_value')
+        assert arg == mock_val
+        arg = args[0].entry_group_id
+        mock_val = 'entry_group_id_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_create_entry_group_flattened_error_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.create_entry_group(
+            catalog.CreateEntryGroupRequest(),
+            parent='parent_value',
+            entry_group=catalog.EntryGroup(name='name_value'),
+            entry_group_id='entry_group_id_value',
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  catalog.UpdateEntryGroupRequest,
+  dict,
+])
+def test_update_entry_group(request_type, transport: str = 'grpc'):
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_entry_group),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/spam')
+        response = client.update_entry_group(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = catalog.UpdateEntryGroupRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+def test_update_entry_group_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = catalog.UpdateEntryGroupRequest(
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_entry_group),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.update_entry_group(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == catalog.UpdateEntryGroupRequest(
+        )
+
+def test_update_entry_group_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = CatalogServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.update_entry_group in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.update_entry_group] = mock_rpc
+        request = {}
+        client.update_entry_group(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        client.update_entry_group(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_update_entry_group_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = CatalogServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.update_entry_group in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.update_entry_group] = mock_rpc
+
+        request = {}
+        await client.update_entry_group(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        await client.update_entry_group(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_update_entry_group_async(transport: str = 'grpc_asyncio', request_type=catalog.UpdateEntryGroupRequest):
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_entry_group),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        response = await client.update_entry_group(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = catalog.UpdateEntryGroupRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+@pytest.mark.asyncio
+async def test_update_entry_group_async_from_dict():
+    await test_update_entry_group_async(request_type=dict)
+
+def test_update_entry_group_field_headers():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.UpdateEntryGroupRequest()
+
+    request.entry_group.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_entry_group),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.update_entry_group(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'entry_group.name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_update_entry_group_field_headers_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.UpdateEntryGroupRequest()
+
+    request.entry_group.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_entry_group),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
+        await client.update_entry_group(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'entry_group.name=name_value',
+    ) in kw['metadata']
+
+
+def test_update_entry_group_flattened():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_entry_group),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.update_entry_group(
+            entry_group=catalog.EntryGroup(name='name_value'),
+            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].entry_group
+        mock_val = catalog.EntryGroup(name='name_value')
+        assert arg == mock_val
+        arg = args[0].update_mask
+        mock_val = field_mask_pb2.FieldMask(paths=['paths_value'])
+        assert arg == mock_val
+
+
+def test_update_entry_group_flattened_error():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.update_entry_group(
+            catalog.UpdateEntryGroupRequest(),
+            entry_group=catalog.EntryGroup(name='name_value'),
+            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
+        )
+
+@pytest.mark.asyncio
+async def test_update_entry_group_flattened_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_entry_group),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.update_entry_group(
+            entry_group=catalog.EntryGroup(name='name_value'),
+            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].entry_group
+        mock_val = catalog.EntryGroup(name='name_value')
+        assert arg == mock_val
+        arg = args[0].update_mask
+        mock_val = field_mask_pb2.FieldMask(paths=['paths_value'])
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_update_entry_group_flattened_error_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.update_entry_group(
+            catalog.UpdateEntryGroupRequest(),
+            entry_group=catalog.EntryGroup(name='name_value'),
+            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  catalog.DeleteEntryGroupRequest,
+  dict,
+])
+def test_delete_entry_group(request_type, transport: str = 'grpc'):
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_entry_group),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/spam')
+        response = client.delete_entry_group(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = catalog.DeleteEntryGroupRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+def test_delete_entry_group_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = catalog.DeleteEntryGroupRequest(
+        name='name_value',
+        etag='etag_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_entry_group),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.delete_entry_group(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == catalog.DeleteEntryGroupRequest(
+            name='name_value',
+            etag='etag_value',
+        )
+
+def test_delete_entry_group_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = CatalogServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.delete_entry_group in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.delete_entry_group] = mock_rpc
+        request = {}
+        client.delete_entry_group(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        client.delete_entry_group(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_delete_entry_group_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = CatalogServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.delete_entry_group in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.delete_entry_group] = mock_rpc
+
+        request = {}
+        await client.delete_entry_group(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        await client.delete_entry_group(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_delete_entry_group_async(transport: str = 'grpc_asyncio', request_type=catalog.DeleteEntryGroupRequest):
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_entry_group),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        response = await client.delete_entry_group(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = catalog.DeleteEntryGroupRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+@pytest.mark.asyncio
+async def test_delete_entry_group_async_from_dict():
+    await test_delete_entry_group_async(request_type=dict)
+
+def test_delete_entry_group_field_headers():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.DeleteEntryGroupRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_entry_group),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.delete_entry_group(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_delete_entry_group_field_headers_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.DeleteEntryGroupRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_entry_group),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
+        await client.delete_entry_group(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+def test_delete_entry_group_flattened():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_entry_group),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.delete_entry_group(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+
+def test_delete_entry_group_flattened_error():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.delete_entry_group(
+            catalog.DeleteEntryGroupRequest(),
+            name='name_value',
+        )
+
+@pytest.mark.asyncio
+async def test_delete_entry_group_flattened_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_entry_group),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.delete_entry_group(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_delete_entry_group_flattened_error_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.delete_entry_group(
+            catalog.DeleteEntryGroupRequest(),
+            name='name_value',
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  catalog.ListEntryGroupsRequest,
+  dict,
+])
+def test_list_entry_groups(request_type, transport: str = 'grpc'):
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_entry_groups),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = catalog.ListEntryGroupsResponse(
+            next_page_token='next_page_token_value',
+            unreachable_locations=['unreachable_locations_value'],
+        )
+        response = client.list_entry_groups(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = catalog.ListEntryGroupsRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, pagers.ListEntryGroupsPager)
+    assert response.next_page_token == 'next_page_token_value'
+    assert response.unreachable_locations == ['unreachable_locations_value']
+
+
+def test_list_entry_groups_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = catalog.ListEntryGroupsRequest(
+        parent='parent_value',
+        page_token='page_token_value',
+        filter='filter_value',
+        order_by='order_by_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_entry_groups),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.list_entry_groups(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == catalog.ListEntryGroupsRequest(
+            parent='parent_value',
+            page_token='page_token_value',
+            filter='filter_value',
+            order_by='order_by_value',
+        )
+
+def test_list_entry_groups_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = CatalogServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.list_entry_groups in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.list_entry_groups] = mock_rpc
+        request = {}
+        client.list_entry_groups(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.list_entry_groups(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_list_entry_groups_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = CatalogServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.list_entry_groups in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.list_entry_groups] = mock_rpc
+
+        request = {}
+        await client.list_entry_groups(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.list_entry_groups(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_list_entry_groups_async(transport: str = 'grpc_asyncio', request_type=catalog.ListEntryGroupsRequest):
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_entry_groups),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(catalog.ListEntryGroupsResponse(
+            next_page_token='next_page_token_value',
+            unreachable_locations=['unreachable_locations_value'],
+        ))
+        response = await client.list_entry_groups(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = catalog.ListEntryGroupsRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, pagers.ListEntryGroupsAsyncPager)
+    assert response.next_page_token == 'next_page_token_value'
+    assert response.unreachable_locations == ['unreachable_locations_value']
+
+
+@pytest.mark.asyncio
+async def test_list_entry_groups_async_from_dict():
+    await test_list_entry_groups_async(request_type=dict)
+
+def test_list_entry_groups_field_headers():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.ListEntryGroupsRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_entry_groups),
+            '__call__') as call:
+        call.return_value = catalog.ListEntryGroupsResponse()
+        client.list_entry_groups(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_list_entry_groups_field_headers_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.ListEntryGroupsRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_entry_groups),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.ListEntryGroupsResponse())
+        await client.list_entry_groups(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+def test_list_entry_groups_flattened():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_entry_groups),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = catalog.ListEntryGroupsResponse()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.list_entry_groups(
+            parent='parent_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+
+
+def test_list_entry_groups_flattened_error():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.list_entry_groups(
+            catalog.ListEntryGroupsRequest(),
+            parent='parent_value',
+        )
+
+@pytest.mark.asyncio
+async def test_list_entry_groups_flattened_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_entry_groups),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = catalog.ListEntryGroupsResponse()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.ListEntryGroupsResponse())
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.list_entry_groups(
+            parent='parent_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_list_entry_groups_flattened_error_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.list_entry_groups(
+            catalog.ListEntryGroupsRequest(),
+            parent='parent_value',
+        )
+
+
+def test_list_entry_groups_pager(transport_name: str = "grpc"):
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport_name,
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_entry_groups),
+            '__call__') as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            catalog.ListEntryGroupsResponse(
+                entry_groups=[
+                    catalog.EntryGroup(),
+                    catalog.EntryGroup(),
+                    catalog.EntryGroup(),
+                ],
+                next_page_token='abc',
+            ),
+            catalog.ListEntryGroupsResponse(
+                entry_groups=[],
+                next_page_token='def',
+            ),
+            catalog.ListEntryGroupsResponse(
+                entry_groups=[
+                    catalog.EntryGroup(),
+                ],
+                next_page_token='ghi',
+            ),
+            catalog.ListEntryGroupsResponse(
+                entry_groups=[
+                    catalog.EntryGroup(),
+                    catalog.EntryGroup(),
+                ],
+            ),
+            RuntimeError,
+        )
+
+        expected_metadata = ()
+        retry = retries.Retry()
+        timeout = 5
+        expected_metadata = tuple(expected_metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ('parent', ''),
+            )),
+        )
+        pager = client.list_entry_groups(request={}, retry=retry, timeout=timeout)
+
+        assert pager._metadata == expected_metadata
+        assert pager._retry == retry
+        assert pager._timeout == timeout
+
+        results = list(pager)
+        assert len(results) == 6
+        assert all(isinstance(i, catalog.EntryGroup)
+                   for i in results)
+def test_list_entry_groups_pages(transport_name: str = "grpc"):
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport_name,
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_entry_groups),
+            '__call__') as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            catalog.ListEntryGroupsResponse(
+                entry_groups=[
+                    catalog.EntryGroup(),
+                    catalog.EntryGroup(),
+                    catalog.EntryGroup(),
+                ],
+                next_page_token='abc',
+            ),
+            catalog.ListEntryGroupsResponse(
+                entry_groups=[],
+                next_page_token='def',
+            ),
+            catalog.ListEntryGroupsResponse(
+                entry_groups=[
+                    catalog.EntryGroup(),
+                ],
+                next_page_token='ghi',
+            ),
+            catalog.ListEntryGroupsResponse(
+                entry_groups=[
+                    catalog.EntryGroup(),
+                    catalog.EntryGroup(),
+                ],
+            ),
+            RuntimeError,
+        )
+        pages = list(client.list_entry_groups(request={}).pages)
+        for page_, token in zip(pages, ['abc','def','ghi', '']):
+            assert page_.raw_page.next_page_token == token
+
+@pytest.mark.asyncio
+async def test_list_entry_groups_async_pager():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_entry_groups),
+            '__call__', new_callable=mock.AsyncMock) as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            catalog.ListEntryGroupsResponse(
+                entry_groups=[
+                    catalog.EntryGroup(),
+                    catalog.EntryGroup(),
+                    catalog.EntryGroup(),
+                ],
+                next_page_token='abc',
+            ),
+            catalog.ListEntryGroupsResponse(
+                entry_groups=[],
+                next_page_token='def',
+            ),
+            catalog.ListEntryGroupsResponse(
+                entry_groups=[
+                    catalog.EntryGroup(),
+                ],
+                next_page_token='ghi',
+            ),
+            catalog.ListEntryGroupsResponse(
+                entry_groups=[
+                    catalog.EntryGroup(),
+                    catalog.EntryGroup(),
+                ],
+            ),
+            RuntimeError,
+        )
+        async_pager = await client.list_entry_groups(request={},)
+        assert async_pager.next_page_token == 'abc'
+        responses = []
+        async for response in async_pager: # pragma: no branch
+            responses.append(response)
+
+        assert len(responses) == 6
+        assert all(isinstance(i, catalog.EntryGroup)
+                for i in responses)
+
+
+@pytest.mark.asyncio
+async def test_list_entry_groups_async_pages():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_entry_groups),
+            '__call__', new_callable=mock.AsyncMock) as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            catalog.ListEntryGroupsResponse(
+                entry_groups=[
+                    catalog.EntryGroup(),
+                    catalog.EntryGroup(),
+                    catalog.EntryGroup(),
+                ],
+                next_page_token='abc',
+            ),
+            catalog.ListEntryGroupsResponse(
+                entry_groups=[],
+                next_page_token='def',
+            ),
+            catalog.ListEntryGroupsResponse(
+                entry_groups=[
+                    catalog.EntryGroup(),
+                ],
+                next_page_token='ghi',
+            ),
+            catalog.ListEntryGroupsResponse(
+                entry_groups=[
+                    catalog.EntryGroup(),
+                    catalog.EntryGroup(),
+                ],
+            ),
+            RuntimeError,
+        )
+        pages = []
+        # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch`
+        # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372
+        async for page_ in ( # pragma: no branch
+            await client.list_entry_groups(request={})
+        ).pages:
+            pages.append(page_)
+        for page_, token in zip(pages, ['abc','def','ghi', '']):
+            assert page_.raw_page.next_page_token == token
+
+@pytest.mark.parametrize("request_type", [
+  catalog.GetEntryGroupRequest,
+  dict,
+])
+def test_get_entry_group(request_type, transport: str = 'grpc'):
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_entry_group),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = catalog.EntryGroup(
+            name='name_value',
+            uid='uid_value',
+            description='description_value',
+            display_name='display_name_value',
+            etag='etag_value',
+            transfer_status=catalog.TransferStatus.TRANSFER_STATUS_MIGRATED,
+        )
+        response = client.get_entry_group(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = catalog.GetEntryGroupRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, catalog.EntryGroup)
+    assert response.name == 'name_value'
+    assert response.uid == 'uid_value'
+    assert response.description == 'description_value'
+    assert response.display_name == 'display_name_value'
+    assert response.etag == 'etag_value'
+    assert response.transfer_status == catalog.TransferStatus.TRANSFER_STATUS_MIGRATED
+
+
+def test_get_entry_group_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = catalog.GetEntryGroupRequest(
+        name='name_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_entry_group),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.get_entry_group(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == catalog.GetEntryGroupRequest(
+            name='name_value',
+        )
+
+def test_get_entry_group_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = CatalogServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.get_entry_group in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.get_entry_group] = mock_rpc
+        request = {}
+        client.get_entry_group(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.get_entry_group(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_get_entry_group_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = CatalogServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.get_entry_group in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.get_entry_group] = mock_rpc
+
+        request = {}
+        await client.get_entry_group(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.get_entry_group(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_get_entry_group_async(transport: str = 'grpc_asyncio', request_type=catalog.GetEntryGroupRequest):
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_entry_group),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(catalog.EntryGroup(
+            name='name_value',
+            uid='uid_value',
+            description='description_value',
+            display_name='display_name_value',
+            etag='etag_value',
+            transfer_status=catalog.TransferStatus.TRANSFER_STATUS_MIGRATED,
+        ))
+        response = await client.get_entry_group(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = catalog.GetEntryGroupRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, catalog.EntryGroup)
+    assert response.name == 'name_value'
+    assert response.uid == 'uid_value'
+    assert response.description == 'description_value'
+    assert response.display_name == 'display_name_value'
+    assert response.etag == 'etag_value'
+    assert response.transfer_status == catalog.TransferStatus.TRANSFER_STATUS_MIGRATED
+
+
+@pytest.mark.asyncio
+async def test_get_entry_group_async_from_dict():
+    await test_get_entry_group_async(request_type=dict)
+
+def test_get_entry_group_field_headers():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.GetEntryGroupRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_entry_group),
+            '__call__') as call:
+        call.return_value = catalog.EntryGroup()
+        client.get_entry_group(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_get_entry_group_field_headers_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.GetEntryGroupRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_entry_group),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.EntryGroup())
+        await client.get_entry_group(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+def test_get_entry_group_flattened():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_entry_group),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = catalog.EntryGroup()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.get_entry_group(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+
+def test_get_entry_group_flattened_error():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.get_entry_group(
+            catalog.GetEntryGroupRequest(),
+            name='name_value',
+        )
+
+@pytest.mark.asyncio
+async def test_get_entry_group_flattened_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_entry_group),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = catalog.EntryGroup()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.EntryGroup())
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.get_entry_group(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_get_entry_group_flattened_error_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.get_entry_group(
+            catalog.GetEntryGroupRequest(),
+            name='name_value',
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  catalog.CreateEntryRequest,
+  dict,
+])
+def test_create_entry(request_type, transport: str = 'grpc'):
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_entry),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = catalog.Entry(
+            name='name_value',
+            entry_type='entry_type_value',
+            parent_entry='parent_entry_value',
+            fully_qualified_name='fully_qualified_name_value',
+        )
+        response = client.create_entry(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = catalog.CreateEntryRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, catalog.Entry)
+    assert response.name == 'name_value'
+    assert response.entry_type == 'entry_type_value'
+    assert response.parent_entry == 'parent_entry_value'
+    assert response.fully_qualified_name == 'fully_qualified_name_value'
+
+
+def test_create_entry_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = catalog.CreateEntryRequest(
+        parent='parent_value',
+        entry_id='entry_id_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_entry),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.create_entry(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == catalog.CreateEntryRequest(
+            parent='parent_value',
+            entry_id='entry_id_value',
+        )
+
+def test_create_entry_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = CatalogServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.create_entry in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.create_entry] = mock_rpc
+        request = {}
+        client.create_entry(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.create_entry(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_create_entry_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = CatalogServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.create_entry in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.create_entry] = mock_rpc
+
+        request = {}
+        await client.create_entry(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.create_entry(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_create_entry_async(transport: str = 'grpc_asyncio', request_type=catalog.CreateEntryRequest):
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_entry),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(catalog.Entry(
+            name='name_value',
+            entry_type='entry_type_value',
+            parent_entry='parent_entry_value',
+            fully_qualified_name='fully_qualified_name_value',
+        ))
+        response = await client.create_entry(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = catalog.CreateEntryRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, catalog.Entry)
+    assert response.name == 'name_value'
+    assert response.entry_type == 'entry_type_value'
+    assert response.parent_entry == 'parent_entry_value'
+    assert response.fully_qualified_name == 'fully_qualified_name_value'
+
+
+@pytest.mark.asyncio
+async def test_create_entry_async_from_dict():
+    await test_create_entry_async(request_type=dict)
+
+def test_create_entry_field_headers():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.CreateEntryRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_entry),
+            '__call__') as call:
+        call.return_value = catalog.Entry()
+        client.create_entry(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_create_entry_field_headers_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.CreateEntryRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_entry),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.Entry())
+        await client.create_entry(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+def test_create_entry_flattened():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_entry),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = catalog.Entry()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.create_entry(
+            parent='parent_value',
+            entry=catalog.Entry(name='name_value'),
+            entry_id='entry_id_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+        arg = args[0].entry
+        mock_val = catalog.Entry(name='name_value')
+        assert arg == mock_val
+        arg = args[0].entry_id
+        mock_val = 'entry_id_value'
+        assert arg == mock_val
+
+
+def test_create_entry_flattened_error():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.create_entry(
+            catalog.CreateEntryRequest(),
+            parent='parent_value',
+            entry=catalog.Entry(name='name_value'),
+            entry_id='entry_id_value',
+        )
+
+@pytest.mark.asyncio
+async def test_create_entry_flattened_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_entry),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = catalog.Entry()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.Entry())
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.create_entry(
+            parent='parent_value',
+            entry=catalog.Entry(name='name_value'),
+            entry_id='entry_id_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+        arg = args[0].entry
+        mock_val = catalog.Entry(name='name_value')
+        assert arg == mock_val
+        arg = args[0].entry_id
+        mock_val = 'entry_id_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_create_entry_flattened_error_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.create_entry(
+            catalog.CreateEntryRequest(),
+            parent='parent_value',
+            entry=catalog.Entry(name='name_value'),
+            entry_id='entry_id_value',
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  catalog.UpdateEntryRequest,
+  dict,
+])
+def test_update_entry(request_type, transport: str = 'grpc'):
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_entry),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = catalog.Entry(
+            name='name_value',
+            entry_type='entry_type_value',
+            parent_entry='parent_entry_value',
+            fully_qualified_name='fully_qualified_name_value',
+        )
+        response = client.update_entry(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = catalog.UpdateEntryRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, catalog.Entry)
+    assert response.name == 'name_value'
+    assert response.entry_type == 'entry_type_value'
+    assert response.parent_entry == 'parent_entry_value'
+    assert response.fully_qualified_name == 'fully_qualified_name_value'
+
+
+def test_update_entry_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = catalog.UpdateEntryRequest(
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_entry),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.update_entry(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == catalog.UpdateEntryRequest(
+        )
+
+def test_update_entry_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = CatalogServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.update_entry in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.update_entry] = mock_rpc
+        request = {}
+        client.update_entry(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.update_entry(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_update_entry_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = CatalogServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.update_entry in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.update_entry] = mock_rpc
+
+        request = {}
+        await client.update_entry(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.update_entry(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_update_entry_async(transport: str = 'grpc_asyncio', request_type=catalog.UpdateEntryRequest):
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_entry),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(catalog.Entry(
+            name='name_value',
+            entry_type='entry_type_value',
+            parent_entry='parent_entry_value',
+            fully_qualified_name='fully_qualified_name_value',
+        ))
+        response = await client.update_entry(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = catalog.UpdateEntryRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, catalog.Entry)
+    assert response.name == 'name_value'
+    assert response.entry_type == 'entry_type_value'
+    assert response.parent_entry == 'parent_entry_value'
+    assert response.fully_qualified_name == 'fully_qualified_name_value'
+
+
+@pytest.mark.asyncio
+async def test_update_entry_async_from_dict():
+    await test_update_entry_async(request_type=dict)
+
+def test_update_entry_field_headers():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.UpdateEntryRequest()
+
+    request.entry.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_entry),
+            '__call__') as call:
+        call.return_value = catalog.Entry()
+        client.update_entry(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'entry.name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_update_entry_field_headers_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.UpdateEntryRequest()
+
+    request.entry.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_entry),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.Entry())
+        await client.update_entry(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'entry.name=name_value',
+    ) in kw['metadata']
+
+
+def test_update_entry_flattened():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_entry),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = catalog.Entry()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.update_entry(
+            entry=catalog.Entry(name='name_value'),
+            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].entry
+        mock_val = catalog.Entry(name='name_value')
+        assert arg == mock_val
+        arg = args[0].update_mask
+        mock_val = field_mask_pb2.FieldMask(paths=['paths_value'])
+        assert arg == mock_val
+
+
+def test_update_entry_flattened_error():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.update_entry(
+            catalog.UpdateEntryRequest(),
+            entry=catalog.Entry(name='name_value'),
+            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
+        )
+
+@pytest.mark.asyncio
+async def test_update_entry_flattened_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_entry),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = catalog.Entry()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.Entry())
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.update_entry(
+            entry=catalog.Entry(name='name_value'),
+            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].entry
+        mock_val = catalog.Entry(name='name_value')
+        assert arg == mock_val
+        arg = args[0].update_mask
+        mock_val = field_mask_pb2.FieldMask(paths=['paths_value'])
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_update_entry_flattened_error_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.update_entry(
+            catalog.UpdateEntryRequest(),
+            entry=catalog.Entry(name='name_value'),
+            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  catalog.DeleteEntryRequest,
+  dict,
+])
+def test_delete_entry(request_type, transport: str = 'grpc'):
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_entry),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = catalog.Entry(
+            name='name_value',
+            entry_type='entry_type_value',
+            parent_entry='parent_entry_value',
+            fully_qualified_name='fully_qualified_name_value',
+        )
+        response = client.delete_entry(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = catalog.DeleteEntryRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, catalog.Entry)
+    assert response.name == 'name_value'
+    assert response.entry_type == 'entry_type_value'
+    assert response.parent_entry == 'parent_entry_value'
+    assert response.fully_qualified_name == 'fully_qualified_name_value'
+
+
+def test_delete_entry_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = catalog.DeleteEntryRequest(
+        name='name_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_entry),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.delete_entry(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == catalog.DeleteEntryRequest(
+            name='name_value',
+        )
+
+def test_delete_entry_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = CatalogServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.delete_entry in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.delete_entry] = mock_rpc
+        request = {}
+        client.delete_entry(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.delete_entry(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_delete_entry_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = CatalogServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.delete_entry in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.delete_entry] = mock_rpc
+
+        request = {}
+        await client.delete_entry(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.delete_entry(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_delete_entry_async(transport: str = 'grpc_asyncio', request_type=catalog.DeleteEntryRequest):
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_entry),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(catalog.Entry(
+            name='name_value',
+            entry_type='entry_type_value',
+            parent_entry='parent_entry_value',
+            fully_qualified_name='fully_qualified_name_value',
+        ))
+        response = await client.delete_entry(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = catalog.DeleteEntryRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, catalog.Entry)
+    assert response.name == 'name_value'
+    assert response.entry_type == 'entry_type_value'
+    assert response.parent_entry == 'parent_entry_value'
+    assert response.fully_qualified_name == 'fully_qualified_name_value'
+
+
+@pytest.mark.asyncio
+async def test_delete_entry_async_from_dict():
+    await test_delete_entry_async(request_type=dict)
+
+def test_delete_entry_field_headers():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.DeleteEntryRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_entry),
+            '__call__') as call:
+        call.return_value = catalog.Entry()
+        client.delete_entry(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_delete_entry_field_headers_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.DeleteEntryRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_entry),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.Entry())
+        await client.delete_entry(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+def test_delete_entry_flattened():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_entry),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = catalog.Entry()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.delete_entry(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+
+def test_delete_entry_flattened_error():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.delete_entry(
+            catalog.DeleteEntryRequest(),
+            name='name_value',
+        )
+
+@pytest.mark.asyncio
+async def test_delete_entry_flattened_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_entry),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = catalog.Entry()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.Entry())
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.delete_entry(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_delete_entry_flattened_error_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.delete_entry(
+            catalog.DeleteEntryRequest(),
+            name='name_value',
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  catalog.ListEntriesRequest,
+  dict,
+])
+def test_list_entries(request_type, transport: str = 'grpc'):
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_entries),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = catalog.ListEntriesResponse(
+            next_page_token='next_page_token_value',
+        )
+        response = client.list_entries(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = catalog.ListEntriesRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, pagers.ListEntriesPager)
+    assert response.next_page_token == 'next_page_token_value'
+
+
+def test_list_entries_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = catalog.ListEntriesRequest(
+        parent='parent_value',
+        page_token='page_token_value',
+        filter='filter_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_entries),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.list_entries(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == catalog.ListEntriesRequest(
+            parent='parent_value',
+            page_token='page_token_value',
+            filter='filter_value',
+        )
+
+def test_list_entries_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = CatalogServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.list_entries in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.list_entries] = mock_rpc
+        request = {}
+        client.list_entries(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.list_entries(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_list_entries_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = CatalogServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.list_entries in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.list_entries] = mock_rpc
+
+        request = {}
+        await client.list_entries(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.list_entries(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_list_entries_async(transport: str = 'grpc_asyncio', request_type=catalog.ListEntriesRequest):
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_entries),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(catalog.ListEntriesResponse(
+            next_page_token='next_page_token_value',
+        ))
+        response = await client.list_entries(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = catalog.ListEntriesRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, pagers.ListEntriesAsyncPager)
+    assert response.next_page_token == 'next_page_token_value'
+
+
+@pytest.mark.asyncio
+async def test_list_entries_async_from_dict():
+    await test_list_entries_async(request_type=dict)
+
+def test_list_entries_field_headers():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.ListEntriesRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_entries),
+            '__call__') as call:
+        call.return_value = catalog.ListEntriesResponse()
+        client.list_entries(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_list_entries_field_headers_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.ListEntriesRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_entries),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.ListEntriesResponse())
+        await client.list_entries(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+def test_list_entries_flattened():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_entries),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = catalog.ListEntriesResponse()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.list_entries(
+            parent='parent_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+
+
+def test_list_entries_flattened_error():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.list_entries(
+            catalog.ListEntriesRequest(),
+            parent='parent_value',
+        )
+
+@pytest.mark.asyncio
+async def test_list_entries_flattened_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_entries),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = catalog.ListEntriesResponse()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.ListEntriesResponse())
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.list_entries(
+            parent='parent_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_list_entries_flattened_error_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.list_entries(
+            catalog.ListEntriesRequest(),
+            parent='parent_value',
+        )
+
+
+def test_list_entries_pager(transport_name: str = "grpc"):
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport_name,
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_entries),
+            '__call__') as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            catalog.ListEntriesResponse(
+                entries=[
+                    catalog.Entry(),
+                    catalog.Entry(),
+                    catalog.Entry(),
+                ],
+                next_page_token='abc',
+            ),
+            catalog.ListEntriesResponse(
+                entries=[],
+                next_page_token='def',
+            ),
+            catalog.ListEntriesResponse(
+                entries=[
+                    catalog.Entry(),
+                ],
+                next_page_token='ghi',
+            ),
+            catalog.ListEntriesResponse(
+                entries=[
+                    catalog.Entry(),
+                    catalog.Entry(),
+                ],
+            ),
+            RuntimeError,
+        )
+
+        expected_metadata = ()
+        retry = retries.Retry()
+        timeout = 5
+        expected_metadata = tuple(expected_metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ('parent', ''),
+            )),
+        )
+        pager = client.list_entries(request={}, retry=retry, timeout=timeout)
+
+        assert pager._metadata == expected_metadata
+        assert pager._retry == retry
+        assert pager._timeout == timeout
+
+        results = list(pager)
+        assert len(results) == 6
+        assert all(isinstance(i, catalog.Entry)
+                   for i in results)
+def test_list_entries_pages(transport_name: str = "grpc"):
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport_name,
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_entries),
+            '__call__') as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            catalog.ListEntriesResponse(
+                entries=[
+                    catalog.Entry(),
+                    catalog.Entry(),
+                    catalog.Entry(),
+                ],
+                next_page_token='abc',
+            ),
+            catalog.ListEntriesResponse(
+                entries=[],
+                next_page_token='def',
+            ),
+            catalog.ListEntriesResponse(
+                entries=[
+                    catalog.Entry(),
+                ],
+                next_page_token='ghi',
+            ),
+            catalog.ListEntriesResponse(
+                entries=[
+                    catalog.Entry(),
+                    catalog.Entry(),
+                ],
+            ),
+            RuntimeError,
+        )
+        pages = list(client.list_entries(request={}).pages)
+        for page_, token in zip(pages, ['abc','def','ghi', '']):
+            assert page_.raw_page.next_page_token == token
+
+@pytest.mark.asyncio
+async def test_list_entries_async_pager():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_entries),
+            '__call__', new_callable=mock.AsyncMock) as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            catalog.ListEntriesResponse(
+                entries=[
+                    catalog.Entry(),
+                    catalog.Entry(),
+                    catalog.Entry(),
+                ],
+                next_page_token='abc',
+            ),
+            catalog.ListEntriesResponse(
+                entries=[],
+                next_page_token='def',
+            ),
+            catalog.ListEntriesResponse(
+                entries=[
+                    catalog.Entry(),
+                ],
+                next_page_token='ghi',
+            ),
+            catalog.ListEntriesResponse(
+                entries=[
+                    catalog.Entry(),
+                    catalog.Entry(),
+                ],
+            ),
+            RuntimeError,
+        )
+        async_pager = await client.list_entries(request={},)
+        assert async_pager.next_page_token == 'abc'
+        responses = []
+        async for response in async_pager: # pragma: no branch
+            responses.append(response)
+
+        assert len(responses) == 6
+        assert all(isinstance(i, catalog.Entry)
+                for i in responses)
+
+
+@pytest.mark.asyncio
+async def test_list_entries_async_pages():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_entries),
+            '__call__', new_callable=mock.AsyncMock) as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            catalog.ListEntriesResponse(
+                entries=[
+                    catalog.Entry(),
+                    catalog.Entry(),
+                    catalog.Entry(),
+                ],
+                next_page_token='abc',
+            ),
+            catalog.ListEntriesResponse(
+                entries=[],
+                next_page_token='def',
+            ),
+            catalog.ListEntriesResponse(
+                entries=[
+                    catalog.Entry(),
+                ],
+                next_page_token='ghi',
+            ),
+            catalog.ListEntriesResponse(
+                entries=[
+                    catalog.Entry(),
+                    catalog.Entry(),
+                ],
+            ),
+            RuntimeError,
+        )
+        pages = []
+        # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch`
+        # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372
+        async for page_ in ( # pragma: no branch
+            await client.list_entries(request={})
+        ).pages:
+            pages.append(page_)
+        for page_, token in zip(pages, ['abc','def','ghi', '']):
+            assert page_.raw_page.next_page_token == token
+
+@pytest.mark.parametrize("request_type", [
+  catalog.GetEntryRequest,
+  dict,
+])
+def test_get_entry(request_type, transport: str = 'grpc'):
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_entry),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = catalog.Entry(
+            name='name_value',
+            entry_type='entry_type_value',
+            parent_entry='parent_entry_value',
+            fully_qualified_name='fully_qualified_name_value',
+        )
+        response = client.get_entry(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = catalog.GetEntryRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, catalog.Entry)
+    assert response.name == 'name_value'
+    assert response.entry_type == 'entry_type_value'
+    assert response.parent_entry == 'parent_entry_value'
+    assert response.fully_qualified_name == 'fully_qualified_name_value'
+
+
+def test_get_entry_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = catalog.GetEntryRequest(
+        name='name_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_entry),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.get_entry(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == catalog.GetEntryRequest(
+            name='name_value',
+        )
+
+def test_get_entry_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = CatalogServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.get_entry in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.get_entry] = mock_rpc
+        request = {}
+        client.get_entry(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.get_entry(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_get_entry_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = CatalogServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.get_entry in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.get_entry] = mock_rpc
+
+        request = {}
+        await client.get_entry(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.get_entry(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_get_entry_async(transport: str = 'grpc_asyncio', request_type=catalog.GetEntryRequest):
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_entry),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(catalog.Entry(
+            name='name_value',
+            entry_type='entry_type_value',
+            parent_entry='parent_entry_value',
+            fully_qualified_name='fully_qualified_name_value',
+        ))
+        response = await client.get_entry(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = catalog.GetEntryRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, catalog.Entry)
+    assert response.name == 'name_value'
+    assert response.entry_type == 'entry_type_value'
+    assert response.parent_entry == 'parent_entry_value'
+    assert response.fully_qualified_name == 'fully_qualified_name_value'
+
+
+@pytest.mark.asyncio
+async def test_get_entry_async_from_dict():
+    await test_get_entry_async(request_type=dict)
+
+def test_get_entry_field_headers():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.GetEntryRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_entry),
+            '__call__') as call:
+        call.return_value = catalog.Entry()
+        client.get_entry(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_get_entry_field_headers_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.GetEntryRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_entry),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.Entry())
+        await client.get_entry(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+def test_get_entry_flattened():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_entry),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = catalog.Entry()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.get_entry(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+
+def test_get_entry_flattened_error():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.get_entry(
+            catalog.GetEntryRequest(),
+            name='name_value',
+        )
+
+@pytest.mark.asyncio
+async def test_get_entry_flattened_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_entry),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = catalog.Entry()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.Entry())
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.get_entry(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_get_entry_flattened_error_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.get_entry(
+            catalog.GetEntryRequest(),
+            name='name_value',
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  catalog.LookupEntryRequest,
+  dict,
+])
+def test_lookup_entry(request_type, transport: str = 'grpc'):
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.lookup_entry),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = catalog.Entry(
+            name='name_value',
+            entry_type='entry_type_value',
+            parent_entry='parent_entry_value',
+            fully_qualified_name='fully_qualified_name_value',
+        )
+        response = client.lookup_entry(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = catalog.LookupEntryRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, catalog.Entry)
+    assert response.name == 'name_value'
+    assert response.entry_type == 'entry_type_value'
+    assert response.parent_entry == 'parent_entry_value'
+    assert response.fully_qualified_name == 'fully_qualified_name_value'
+
+
+def test_lookup_entry_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = catalog.LookupEntryRequest(
+        name='name_value',
+        entry='entry_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.lookup_entry),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.lookup_entry(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == catalog.LookupEntryRequest(
+            name='name_value',
+            entry='entry_value',
+        )
+
+def test_lookup_entry_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = CatalogServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.lookup_entry in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.lookup_entry] = mock_rpc
+        request = {}
+        client.lookup_entry(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.lookup_entry(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_lookup_entry_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = CatalogServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.lookup_entry in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.lookup_entry] = mock_rpc
+
+        request = {}
+        await client.lookup_entry(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.lookup_entry(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_lookup_entry_async(transport: str = 'grpc_asyncio', request_type=catalog.LookupEntryRequest):
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.lookup_entry),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(catalog.Entry(
+            name='name_value',
+            entry_type='entry_type_value',
+            parent_entry='parent_entry_value',
+            fully_qualified_name='fully_qualified_name_value',
+        ))
+        response = await client.lookup_entry(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = catalog.LookupEntryRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, catalog.Entry)
+    assert response.name == 'name_value'
+    assert response.entry_type == 'entry_type_value'
+    assert response.parent_entry == 'parent_entry_value'
+    assert response.fully_qualified_name == 'fully_qualified_name_value'
+
+
+@pytest.mark.asyncio
+async def test_lookup_entry_async_from_dict():
+    await test_lookup_entry_async(request_type=dict)
+
+def test_lookup_entry_field_headers():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.LookupEntryRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.lookup_entry),
+            '__call__') as call:
+        call.return_value = catalog.Entry()
+        client.lookup_entry(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_lookup_entry_field_headers_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.LookupEntryRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.lookup_entry),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.Entry())
+        await client.lookup_entry(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.parametrize("request_type", [
+  catalog.SearchEntriesRequest,
+  dict,
+])
+def test_search_entries(request_type, transport: str = 'grpc'):
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.search_entries),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = catalog.SearchEntriesResponse(
+            total_size=1086,
+            next_page_token='next_page_token_value',
+            unreachable=['unreachable_value'],
+        )
+        response = client.search_entries(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = catalog.SearchEntriesRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, pagers.SearchEntriesPager)
+    assert response.total_size == 1086
+    assert response.next_page_token == 'next_page_token_value'
+    assert response.unreachable == ['unreachable_value']
+
+
+def test_search_entries_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = catalog.SearchEntriesRequest(
+        name='name_value',
+        query='query_value',
+        page_token='page_token_value',
+        order_by='order_by_value',
+        scope='scope_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.search_entries),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.search_entries(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == catalog.SearchEntriesRequest(
+            name='name_value',
+            query='query_value',
+            page_token='page_token_value',
+            order_by='order_by_value',
+            scope='scope_value',
+        )
+
+def test_search_entries_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = CatalogServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.search_entries in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.search_entries] = mock_rpc
+        request = {}
+        client.search_entries(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.search_entries(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_search_entries_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = CatalogServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.search_entries in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.search_entries] = mock_rpc
+
+        request = {}
+        await client.search_entries(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.search_entries(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_search_entries_async(transport: str = 'grpc_asyncio', request_type=catalog.SearchEntriesRequest):
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.search_entries),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(catalog.SearchEntriesResponse(
+            total_size=1086,
+            next_page_token='next_page_token_value',
+            unreachable=['unreachable_value'],
+        ))
+        response = await client.search_entries(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = catalog.SearchEntriesRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, pagers.SearchEntriesAsyncPager)
+    assert response.total_size == 1086
+    assert response.next_page_token == 'next_page_token_value'
+    assert response.unreachable == ['unreachable_value']
+
+
+@pytest.mark.asyncio
+async def test_search_entries_async_from_dict():
+    await test_search_entries_async(request_type=dict)
+
+def test_search_entries_field_headers():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.SearchEntriesRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.search_entries),
+            '__call__') as call:
+        call.return_value = catalog.SearchEntriesResponse()
+        client.search_entries(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_search_entries_field_headers_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.SearchEntriesRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.search_entries),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.SearchEntriesResponse())
+        await client.search_entries(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+def test_search_entries_flattened():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.search_entries),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = catalog.SearchEntriesResponse()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.search_entries(
+            name='name_value',
+            query='query_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+        arg = args[0].query
+        mock_val = 'query_value'
+        assert arg == mock_val
+
+
+def test_search_entries_flattened_error():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.search_entries(
+            catalog.SearchEntriesRequest(),
+            name='name_value',
+            query='query_value',
+        )
+
+@pytest.mark.asyncio
+async def test_search_entries_flattened_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.search_entries),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = catalog.SearchEntriesResponse()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.SearchEntriesResponse())
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.search_entries(
+            name='name_value',
+            query='query_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+        arg = args[0].query
+        mock_val = 'query_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_search_entries_flattened_error_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.search_entries(
+            catalog.SearchEntriesRequest(),
+            name='name_value',
+            query='query_value',
+        )
+
+
+def test_search_entries_pager(transport_name: str = "grpc"):
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport_name,
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.search_entries),
+            '__call__') as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            catalog.SearchEntriesResponse(
+                results=[
+                    catalog.SearchEntriesResult(),
+                    catalog.SearchEntriesResult(),
+                    catalog.SearchEntriesResult(),
+                ],
+                next_page_token='abc',
+            ),
+            catalog.SearchEntriesResponse(
+                results=[],
+                next_page_token='def',
+            ),
+            catalog.SearchEntriesResponse(
+                results=[
+                    catalog.SearchEntriesResult(),
+                ],
+                next_page_token='ghi',
+            ),
+            catalog.SearchEntriesResponse(
+                results=[
+                    catalog.SearchEntriesResult(),
+                    catalog.SearchEntriesResult(),
+                ],
+            ),
+            RuntimeError,
+        )
+
+        expected_metadata = ()
+        retry = retries.Retry()
+        timeout = 5
+        expected_metadata = tuple(expected_metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ('name', ''),
+            )),
+        )
+        pager = client.search_entries(request={}, retry=retry, timeout=timeout)
+
+        assert pager._metadata == expected_metadata
+        assert pager._retry == retry
+        assert pager._timeout == timeout
+
+        results = list(pager)
+        assert len(results) == 6
+        assert all(isinstance(i, catalog.SearchEntriesResult)
+                   for i in results)
+def test_search_entries_pages(transport_name: str = "grpc"):
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport_name,
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.search_entries),
+            '__call__') as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            catalog.SearchEntriesResponse(
+                results=[
+                    catalog.SearchEntriesResult(),
+                    catalog.SearchEntriesResult(),
+                    catalog.SearchEntriesResult(),
+                ],
+                next_page_token='abc',
+            ),
+            catalog.SearchEntriesResponse(
+                results=[],
+                next_page_token='def',
+            ),
+            catalog.SearchEntriesResponse(
+                results=[
+                    catalog.SearchEntriesResult(),
+                ],
+                next_page_token='ghi',
+            ),
+            catalog.SearchEntriesResponse(
+                results=[
+                    catalog.SearchEntriesResult(),
+                    catalog.SearchEntriesResult(),
+                ],
+            ),
+            RuntimeError,
+        )
+        pages = list(client.search_entries(request={}).pages)
+        for page_, token in zip(pages, ['abc','def','ghi', '']):
+            assert page_.raw_page.next_page_token == token
+
+@pytest.mark.asyncio
+async def test_search_entries_async_pager():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.search_entries),
+            '__call__', new_callable=mock.AsyncMock) as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            catalog.SearchEntriesResponse(
+                results=[
+                    catalog.SearchEntriesResult(),
+                    catalog.SearchEntriesResult(),
+                    catalog.SearchEntriesResult(),
+                ],
+                next_page_token='abc',
+            ),
+            catalog.SearchEntriesResponse(
+                results=[],
+                next_page_token='def',
+            ),
+            catalog.SearchEntriesResponse(
+                results=[
+                    catalog.SearchEntriesResult(),
+                ],
+                next_page_token='ghi',
+            ),
+            catalog.SearchEntriesResponse(
+                results=[
+                    catalog.SearchEntriesResult(),
+                    catalog.SearchEntriesResult(),
+                ],
+            ),
+            RuntimeError,
+        )
+        async_pager = await client.search_entries(request={},)
+        assert async_pager.next_page_token == 'abc'
+        responses = []
+        async for response in async_pager: # pragma: no branch
+            responses.append(response)
+
+        assert len(responses) == 6
+        assert all(isinstance(i, catalog.SearchEntriesResult)
+                for i in responses)
+
+
+@pytest.mark.asyncio
+async def test_search_entries_async_pages():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.search_entries),
+            '__call__', new_callable=mock.AsyncMock) as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            catalog.SearchEntriesResponse(
+                results=[
+                    catalog.SearchEntriesResult(),
+                    catalog.SearchEntriesResult(),
+                    catalog.SearchEntriesResult(),
+                ],
+                next_page_token='abc',
+            ),
+            catalog.SearchEntriesResponse(
+                results=[],
+                next_page_token='def',
+            ),
+            catalog.SearchEntriesResponse(
+                results=[
+                    catalog.SearchEntriesResult(),
+                ],
+                next_page_token='ghi',
+            ),
+            catalog.SearchEntriesResponse(
+                results=[
+                    catalog.SearchEntriesResult(),
+                    catalog.SearchEntriesResult(),
+                ],
+            ),
+            RuntimeError,
+        )
+        pages = []
+        # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch`
+        # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372
+        async for page_ in ( # pragma: no branch
+            await client.search_entries(request={})
+        ).pages:
+            pages.append(page_)
+        for page_, token in zip(pages, ['abc','def','ghi', '']):
+            assert page_.raw_page.next_page_token == token
+
+@pytest.mark.parametrize("request_type", [
+  catalog.CreateMetadataJobRequest,
+  dict,
+])
+def test_create_metadata_job(request_type, transport: str = 'grpc'):
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_metadata_job),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/spam')
+        response = client.create_metadata_job(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = catalog.CreateMetadataJobRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+def test_create_metadata_job_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = catalog.CreateMetadataJobRequest(
+        parent='parent_value',
+        metadata_job_id='metadata_job_id_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_metadata_job),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.create_metadata_job(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == catalog.CreateMetadataJobRequest(
+            parent='parent_value',
+            metadata_job_id='metadata_job_id_value',
+        )
+
+def test_create_metadata_job_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = CatalogServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.create_metadata_job in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.create_metadata_job] = mock_rpc
+        request = {}
+        client.create_metadata_job(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        client.create_metadata_job(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_create_metadata_job_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = CatalogServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.create_metadata_job in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.create_metadata_job] = mock_rpc
+
+        request = {}
+        await client.create_metadata_job(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        await client.create_metadata_job(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_create_metadata_job_async(transport: str = 'grpc_asyncio', request_type=catalog.CreateMetadataJobRequest):
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_metadata_job),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        response = await client.create_metadata_job(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = catalog.CreateMetadataJobRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+@pytest.mark.asyncio
+async def test_create_metadata_job_async_from_dict():
+    await test_create_metadata_job_async(request_type=dict)
+
+def test_create_metadata_job_field_headers():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.CreateMetadataJobRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_metadata_job),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.create_metadata_job(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_create_metadata_job_field_headers_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.CreateMetadataJobRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_metadata_job),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
+        await client.create_metadata_job(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+def test_create_metadata_job_flattened():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_metadata_job),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.create_metadata_job(
+            parent='parent_value',
+            metadata_job=catalog.MetadataJob(name='name_value'),
+            metadata_job_id='metadata_job_id_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+        arg = args[0].metadata_job
+        mock_val = catalog.MetadataJob(name='name_value')
+        assert arg == mock_val
+        arg = args[0].metadata_job_id
+        mock_val = 'metadata_job_id_value'
+        assert arg == mock_val
+
+
+def test_create_metadata_job_flattened_error():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.create_metadata_job(
+            catalog.CreateMetadataJobRequest(),
+            parent='parent_value',
+            metadata_job=catalog.MetadataJob(name='name_value'),
+            metadata_job_id='metadata_job_id_value',
+        )
+
+@pytest.mark.asyncio
+async def test_create_metadata_job_flattened_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_metadata_job),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.create_metadata_job(
+            parent='parent_value',
+            metadata_job=catalog.MetadataJob(name='name_value'),
+            metadata_job_id='metadata_job_id_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+        arg = args[0].metadata_job
+        mock_val = catalog.MetadataJob(name='name_value')
+        assert arg == mock_val
+        arg = args[0].metadata_job_id
+        mock_val = 'metadata_job_id_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_create_metadata_job_flattened_error_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.create_metadata_job(
+            catalog.CreateMetadataJobRequest(),
+            parent='parent_value',
+            metadata_job=catalog.MetadataJob(name='name_value'),
+            metadata_job_id='metadata_job_id_value',
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  catalog.GetMetadataJobRequest,
+  dict,
+])
+def test_get_metadata_job(request_type, transport: str = 'grpc'):
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_metadata_job),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = catalog.MetadataJob(
+            name='name_value',
+            uid='uid_value',
+            type_=catalog.MetadataJob.Type.IMPORT,
+        )
+        response = client.get_metadata_job(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = catalog.GetMetadataJobRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, catalog.MetadataJob)
+    assert response.name == 'name_value'
+    assert response.uid == 'uid_value'
+    assert response.type_ == catalog.MetadataJob.Type.IMPORT
+
+
+def test_get_metadata_job_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = catalog.GetMetadataJobRequest(
+        name='name_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_metadata_job),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.get_metadata_job(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == catalog.GetMetadataJobRequest(
+            name='name_value',
+        )
+
+def test_get_metadata_job_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = CatalogServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.get_metadata_job in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.get_metadata_job] = mock_rpc
+        request = {}
+        client.get_metadata_job(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.get_metadata_job(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_get_metadata_job_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = CatalogServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.get_metadata_job in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.get_metadata_job] = mock_rpc
+
+        request = {}
+        await client.get_metadata_job(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.get_metadata_job(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_get_metadata_job_async(transport: str = 'grpc_asyncio', request_type=catalog.GetMetadataJobRequest):
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_metadata_job),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(catalog.MetadataJob(
+            name='name_value',
+            uid='uid_value',
+            type_=catalog.MetadataJob.Type.IMPORT,
+        ))
+        response = await client.get_metadata_job(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = catalog.GetMetadataJobRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, catalog.MetadataJob)
+    assert response.name == 'name_value'
+    assert response.uid == 'uid_value'
+    assert response.type_ == catalog.MetadataJob.Type.IMPORT
+
+
+@pytest.mark.asyncio
+async def test_get_metadata_job_async_from_dict():
+    await test_get_metadata_job_async(request_type=dict)
+
+def test_get_metadata_job_field_headers():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.GetMetadataJobRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_metadata_job),
+            '__call__') as call:
+        call.return_value = catalog.MetadataJob()
+        client.get_metadata_job(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_get_metadata_job_field_headers_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.GetMetadataJobRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_metadata_job),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.MetadataJob())
+        await client.get_metadata_job(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+def test_get_metadata_job_flattened():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_metadata_job),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = catalog.MetadataJob()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.get_metadata_job(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+
+def test_get_metadata_job_flattened_error():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.get_metadata_job(
+            catalog.GetMetadataJobRequest(),
+            name='name_value',
+        )
+
+@pytest.mark.asyncio
+async def test_get_metadata_job_flattened_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_metadata_job),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = catalog.MetadataJob()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.MetadataJob())
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.get_metadata_job(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_get_metadata_job_flattened_error_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.get_metadata_job(
+            catalog.GetMetadataJobRequest(),
+            name='name_value',
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  catalog.ListMetadataJobsRequest,
+  dict,
+])
+def test_list_metadata_jobs(request_type, transport: str = 'grpc'):
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_metadata_jobs),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = catalog.ListMetadataJobsResponse(
+            next_page_token='next_page_token_value',
+            unreachable_locations=['unreachable_locations_value'],
+        )
+        response = client.list_metadata_jobs(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = catalog.ListMetadataJobsRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, pagers.ListMetadataJobsPager)
+    assert response.next_page_token == 'next_page_token_value'
+    assert response.unreachable_locations == ['unreachable_locations_value']
+
+
+def test_list_metadata_jobs_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = catalog.ListMetadataJobsRequest(
+        parent='parent_value',
+        page_token='page_token_value',
+        filter='filter_value',
+        order_by='order_by_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_metadata_jobs),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.list_metadata_jobs(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == catalog.ListMetadataJobsRequest(
+            parent='parent_value',
+            page_token='page_token_value',
+            filter='filter_value',
+            order_by='order_by_value',
+        )
+
+def test_list_metadata_jobs_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = CatalogServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.list_metadata_jobs in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.list_metadata_jobs] = mock_rpc
+        request = {}
+        client.list_metadata_jobs(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.list_metadata_jobs(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_list_metadata_jobs_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = CatalogServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.list_metadata_jobs in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.list_metadata_jobs] = mock_rpc
+
+        request = {}
+        await client.list_metadata_jobs(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.list_metadata_jobs(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_list_metadata_jobs_async(transport: str = 'grpc_asyncio', request_type=catalog.ListMetadataJobsRequest):
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_metadata_jobs),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(catalog.ListMetadataJobsResponse(
+            next_page_token='next_page_token_value',
+            unreachable_locations=['unreachable_locations_value'],
+        ))
+        response = await client.list_metadata_jobs(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = catalog.ListMetadataJobsRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, pagers.ListMetadataJobsAsyncPager)
+    assert response.next_page_token == 'next_page_token_value'
+    assert response.unreachable_locations == ['unreachable_locations_value']
+
+
+@pytest.mark.asyncio
+async def test_list_metadata_jobs_async_from_dict():
+    await test_list_metadata_jobs_async(request_type=dict)
+
+def test_list_metadata_jobs_field_headers():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.ListMetadataJobsRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_metadata_jobs),
+            '__call__') as call:
+        call.return_value = catalog.ListMetadataJobsResponse()
+        client.list_metadata_jobs(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_list_metadata_jobs_field_headers_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.ListMetadataJobsRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_metadata_jobs),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.ListMetadataJobsResponse())
+        await client.list_metadata_jobs(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+def test_list_metadata_jobs_flattened():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_metadata_jobs),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = catalog.ListMetadataJobsResponse()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.list_metadata_jobs(
+            parent='parent_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+
+
+def test_list_metadata_jobs_flattened_error():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.list_metadata_jobs(
+            catalog.ListMetadataJobsRequest(),
+            parent='parent_value',
+        )
+
+@pytest.mark.asyncio
+async def test_list_metadata_jobs_flattened_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_metadata_jobs),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = catalog.ListMetadataJobsResponse()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.ListMetadataJobsResponse())
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.list_metadata_jobs(
+            parent='parent_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_list_metadata_jobs_flattened_error_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.list_metadata_jobs(
+            catalog.ListMetadataJobsRequest(),
+            parent='parent_value',
+        )
+
+
+def test_list_metadata_jobs_pager(transport_name: str = "grpc"):
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport_name,
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_metadata_jobs),
+            '__call__') as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            catalog.ListMetadataJobsResponse(
+                metadata_jobs=[
+                    catalog.MetadataJob(),
+                    catalog.MetadataJob(),
+                    catalog.MetadataJob(),
+                ],
+                next_page_token='abc',
+            ),
+            catalog.ListMetadataJobsResponse(
+                metadata_jobs=[],
+                next_page_token='def',
+            ),
+            catalog.ListMetadataJobsResponse(
+                metadata_jobs=[
+                    catalog.MetadataJob(),
+                ],
+                next_page_token='ghi',
+            ),
+            catalog.ListMetadataJobsResponse(
+                metadata_jobs=[
+                    catalog.MetadataJob(),
+                    catalog.MetadataJob(),
+                ],
+            ),
+            RuntimeError,
+        )
+
+        expected_metadata = ()
+        retry = retries.Retry()
+        timeout = 5
+        expected_metadata = tuple(expected_metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ('parent', ''),
+            )),
+        )
+        pager = client.list_metadata_jobs(request={}, retry=retry, timeout=timeout)
+
+        assert pager._metadata == expected_metadata
+        assert pager._retry == retry
+        assert pager._timeout == timeout
+
+        results = list(pager)
+        assert len(results) == 6
+        assert all(isinstance(i, catalog.MetadataJob)
+                   for i in results)
+def test_list_metadata_jobs_pages(transport_name: str = "grpc"):
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport_name,
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_metadata_jobs),
+            '__call__') as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            catalog.ListMetadataJobsResponse(
+                metadata_jobs=[
+                    catalog.MetadataJob(),
+                    catalog.MetadataJob(),
+                    catalog.MetadataJob(),
+                ],
+                next_page_token='abc',
+            ),
+            catalog.ListMetadataJobsResponse(
+                metadata_jobs=[],
+                next_page_token='def',
+            ),
+            catalog.ListMetadataJobsResponse(
+                metadata_jobs=[
+                    catalog.MetadataJob(),
+                ],
+                next_page_token='ghi',
+            ),
+            catalog.ListMetadataJobsResponse(
+                metadata_jobs=[
+                    catalog.MetadataJob(),
+                    catalog.MetadataJob(),
+                ],
+            ),
+            RuntimeError,
+        )
+        pages = list(client.list_metadata_jobs(request={}).pages)
+        for page_, token in zip(pages, ['abc','def','ghi', '']):
+            assert page_.raw_page.next_page_token == token
+
+@pytest.mark.asyncio
+async def test_list_metadata_jobs_async_pager():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_metadata_jobs),
+            '__call__', new_callable=mock.AsyncMock) as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            catalog.ListMetadataJobsResponse(
+                metadata_jobs=[
+                    catalog.MetadataJob(),
+                    catalog.MetadataJob(),
+                    catalog.MetadataJob(),
+                ],
+                next_page_token='abc',
+            ),
+            catalog.ListMetadataJobsResponse(
+                metadata_jobs=[],
+                next_page_token='def',
+            ),
+            catalog.ListMetadataJobsResponse(
+                metadata_jobs=[
+                    catalog.MetadataJob(),
+                ],
+                next_page_token='ghi',
+            ),
+            catalog.ListMetadataJobsResponse(
+                metadata_jobs=[
+                    catalog.MetadataJob(),
+                    catalog.MetadataJob(),
+                ],
+            ),
+            RuntimeError,
+        )
+        async_pager = await client.list_metadata_jobs(request={},)
+        assert async_pager.next_page_token == 'abc'
+        responses = []
+        async for response in async_pager: # pragma: no branch
+            responses.append(response)
+
+        assert len(responses) == 6
+        assert all(isinstance(i, catalog.MetadataJob)
+                for i in responses)
+
+
+@pytest.mark.asyncio
+async def test_list_metadata_jobs_async_pages():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_metadata_jobs),
+            '__call__', new_callable=mock.AsyncMock) as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            catalog.ListMetadataJobsResponse(
+                metadata_jobs=[
+                    catalog.MetadataJob(),
+                    catalog.MetadataJob(),
+                    catalog.MetadataJob(),
+                ],
+                next_page_token='abc',
+            ),
+            catalog.ListMetadataJobsResponse(
+                metadata_jobs=[],
+                next_page_token='def',
+            ),
+            catalog.ListMetadataJobsResponse(
+                metadata_jobs=[
+                    catalog.MetadataJob(),
+                ],
+                next_page_token='ghi',
+            ),
+            catalog.ListMetadataJobsResponse(
+                metadata_jobs=[
+                    catalog.MetadataJob(),
+                    catalog.MetadataJob(),
+                ],
+            ),
+            RuntimeError,
+        )
+        pages = []
+        # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch`
+        # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372
+        async for page_ in ( # pragma: no branch
+            await client.list_metadata_jobs(request={})
+        ).pages:
+            pages.append(page_)
+        for page_, token in zip(pages, ['abc','def','ghi', '']):
+            assert page_.raw_page.next_page_token == token
+
+@pytest.mark.parametrize("request_type", [
+  catalog.CancelMetadataJobRequest,
+  dict,
+])
+def test_cancel_metadata_job(request_type, transport: str = 'grpc'):
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.cancel_metadata_job),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = None
+        response = client.cancel_metadata_job(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = catalog.CancelMetadataJobRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert response is None
+
+
+def test_cancel_metadata_job_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = catalog.CancelMetadataJobRequest(
+        name='name_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.cancel_metadata_job),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.cancel_metadata_job(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == catalog.CancelMetadataJobRequest(
+            name='name_value',
+        )
+
+def test_cancel_metadata_job_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = CatalogServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.cancel_metadata_job in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.cancel_metadata_job] = mock_rpc
+        request = {}
+        client.cancel_metadata_job(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.cancel_metadata_job(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_cancel_metadata_job_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = CatalogServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.cancel_metadata_job in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.cancel_metadata_job] = mock_rpc
+
+        request = {}
+        await client.cancel_metadata_job(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.cancel_metadata_job(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_cancel_metadata_job_async(transport: str = 'grpc_asyncio', request_type=catalog.CancelMetadataJobRequest):
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.cancel_metadata_job),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
+        response = await client.cancel_metadata_job(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = catalog.CancelMetadataJobRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert response is None
+
+
+@pytest.mark.asyncio
+async def test_cancel_metadata_job_async_from_dict():
+    await test_cancel_metadata_job_async(request_type=dict)
+
+def test_cancel_metadata_job_field_headers():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.CancelMetadataJobRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.cancel_metadata_job),
+            '__call__') as call:
+        call.return_value = None
+        client.cancel_metadata_job(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_cancel_metadata_job_field_headers_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.CancelMetadataJobRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.cancel_metadata_job),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
+        await client.cancel_metadata_job(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+def test_cancel_metadata_job_flattened():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.cancel_metadata_job),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = None
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.cancel_metadata_job(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+
+def test_cancel_metadata_job_flattened_error():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.cancel_metadata_job(
+            catalog.CancelMetadataJobRequest(),
+            name='name_value',
+        )
+
+@pytest.mark.asyncio
+async def test_cancel_metadata_job_flattened_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.cancel_metadata_job),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = None
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.cancel_metadata_job(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_cancel_metadata_job_flattened_error_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.cancel_metadata_job(
+            catalog.CancelMetadataJobRequest(),
+            name='name_value',
+        )
+
+
+def test_credentials_transport_error():
+    # It is an error to provide credentials and a transport instance.
+    transport = transports.CatalogServiceGrpcTransport(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    with pytest.raises(ValueError):
+        client = CatalogServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport=transport,
+        )
+
+    # It is an error to provide a credentials file and a transport instance.
+    transport = transports.CatalogServiceGrpcTransport(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    with pytest.raises(ValueError):
+        client = CatalogServiceClient(
+            client_options={"credentials_file": "credentials.json"},
+            transport=transport,
+        )
+
+    # It is an error to provide an api_key and a transport instance.
+    transport = transports.CatalogServiceGrpcTransport(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    options = client_options.ClientOptions()
+    options.api_key = "api_key"
+    with pytest.raises(ValueError):
+        client = CatalogServiceClient(
+            client_options=options,
+            transport=transport,
+        )
+
+    # It is an error to provide an api_key and a credential.
+    options = client_options.ClientOptions()
+    options.api_key = "api_key"
+    with pytest.raises(ValueError):
+        client = CatalogServiceClient(
+            client_options=options,
+            credentials=ga_credentials.AnonymousCredentials()
+        )
+
+    # It is an error to provide scopes and a transport instance.
+    transport = transports.CatalogServiceGrpcTransport(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    with pytest.raises(ValueError):
+        client = CatalogServiceClient(
+            client_options={"scopes": ["1", "2"]},
+            transport=transport,
+        )
+
+
+def test_transport_instance():
+    # A client may be instantiated with a custom transport instance.
+    transport = transports.CatalogServiceGrpcTransport(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    client = CatalogServiceClient(transport=transport)
+    assert client.transport is transport
+
+def test_transport_get_channel():
+    # A client may be instantiated with a custom transport instance.
+    transport = transports.CatalogServiceGrpcTransport(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    channel = transport.grpc_channel
+    assert channel
+
+    transport = transports.CatalogServiceGrpcAsyncIOTransport(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    channel = transport.grpc_channel
+    assert channel
+
+@pytest.mark.parametrize("transport_class", [
+    transports.CatalogServiceGrpcTransport,
+    transports.CatalogServiceGrpcAsyncIOTransport,
+])
+def test_transport_adc(transport_class):
+    # Test default credentials are used if not provided.
+    with mock.patch.object(google.auth, 'default') as adc:
+        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
+        transport_class()
+        adc.assert_called_once()
+
+def test_transport_kind_grpc():
+    transport = CatalogServiceClient.get_transport_class("grpc")(
+        credentials=ga_credentials.AnonymousCredentials()
+    )
+    assert transport.kind == "grpc"
+
+
+def test_initialize_client_w_grpc():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc"
+    )
+    assert client is not None
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_create_entry_type_empty_call_grpc():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_entry_type),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.create_entry_type(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.CreateEntryTypeRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_update_entry_type_empty_call_grpc():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_entry_type),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.update_entry_type(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.UpdateEntryTypeRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_delete_entry_type_empty_call_grpc():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_entry_type),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.delete_entry_type(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.DeleteEntryTypeRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_list_entry_types_empty_call_grpc():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_entry_types),
+            '__call__') as call:
+        call.return_value = catalog.ListEntryTypesResponse()
+        client.list_entry_types(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.ListEntryTypesRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_get_entry_type_empty_call_grpc():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_entry_type),
+            '__call__') as call:
+        call.return_value = catalog.EntryType()
+        client.get_entry_type(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.GetEntryTypeRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_create_aspect_type_empty_call_grpc():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_aspect_type),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.create_aspect_type(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.CreateAspectTypeRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_update_aspect_type_empty_call_grpc():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_aspect_type),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.update_aspect_type(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.UpdateAspectTypeRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_delete_aspect_type_empty_call_grpc():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_aspect_type),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.delete_aspect_type(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.DeleteAspectTypeRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_list_aspect_types_empty_call_grpc():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_aspect_types),
+            '__call__') as call:
+        call.return_value = catalog.ListAspectTypesResponse()
+        client.list_aspect_types(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.ListAspectTypesRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_get_aspect_type_empty_call_grpc():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_aspect_type),
+            '__call__') as call:
+        call.return_value = catalog.AspectType()
+        client.get_aspect_type(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.GetAspectTypeRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_create_entry_group_empty_call_grpc():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_entry_group),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.create_entry_group(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.CreateEntryGroupRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_update_entry_group_empty_call_grpc():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_entry_group),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.update_entry_group(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.UpdateEntryGroupRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_delete_entry_group_empty_call_grpc():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_entry_group),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.delete_entry_group(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.DeleteEntryGroupRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_list_entry_groups_empty_call_grpc():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_entry_groups),
+            '__call__') as call:
+        call.return_value = catalog.ListEntryGroupsResponse()
+        client.list_entry_groups(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.ListEntryGroupsRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_get_entry_group_empty_call_grpc():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_entry_group),
+            '__call__') as call:
+        call.return_value = catalog.EntryGroup()
+        client.get_entry_group(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.GetEntryGroupRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_create_entry_empty_call_grpc():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_entry),
+            '__call__') as call:
+        call.return_value = catalog.Entry()
+        client.create_entry(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.CreateEntryRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_update_entry_empty_call_grpc():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_entry),
+            '__call__') as call:
+        call.return_value = catalog.Entry()
+        client.update_entry(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.UpdateEntryRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_delete_entry_empty_call_grpc():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_entry),
+            '__call__') as call:
+        call.return_value = catalog.Entry()
+        client.delete_entry(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.DeleteEntryRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_list_entries_empty_call_grpc():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_entries),
+            '__call__') as call:
+        call.return_value = catalog.ListEntriesResponse()
+        client.list_entries(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.ListEntriesRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_get_entry_empty_call_grpc():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_entry),
+            '__call__') as call:
+        call.return_value = catalog.Entry()
+        client.get_entry(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.GetEntryRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_lookup_entry_empty_call_grpc():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.lookup_entry),
+            '__call__') as call:
+        call.return_value = catalog.Entry()
+        client.lookup_entry(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.LookupEntryRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_search_entries_empty_call_grpc():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.search_entries),
+            '__call__') as call:
+        call.return_value = catalog.SearchEntriesResponse()
+        client.search_entries(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.SearchEntriesRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_create_metadata_job_empty_call_grpc():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_metadata_job),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.create_metadata_job(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.CreateMetadataJobRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_get_metadata_job_empty_call_grpc():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_metadata_job),
+            '__call__') as call:
+        call.return_value = catalog.MetadataJob()
+        client.get_metadata_job(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.GetMetadataJobRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_list_metadata_jobs_empty_call_grpc():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_metadata_jobs),
+            '__call__') as call:
+        call.return_value = catalog.ListMetadataJobsResponse()
+        client.list_metadata_jobs(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.ListMetadataJobsRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_cancel_metadata_job_empty_call_grpc():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.cancel_metadata_job),
+            '__call__') as call:
+        call.return_value = None
+        client.cancel_metadata_job(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.CancelMetadataJobRequest()
+
+        assert args[0] == request_msg
+
+
+def test_transport_kind_grpc_asyncio():
+    transport = CatalogServiceAsyncClient.get_transport_class("grpc_asyncio")(
+        credentials=async_anonymous_credentials()
+    )
+    assert transport.kind == "grpc_asyncio"
+
+
+def test_initialize_client_w_grpc_asyncio():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio"
+    )
+    assert client is not None
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_create_entry_type_empty_call_grpc_asyncio():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_entry_type),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        await client.create_entry_type(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.CreateEntryTypeRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_update_entry_type_empty_call_grpc_asyncio():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_entry_type),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        await client.update_entry_type(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.UpdateEntryTypeRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_delete_entry_type_empty_call_grpc_asyncio():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_entry_type),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        await client.delete_entry_type(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.DeleteEntryTypeRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_list_entry_types_empty_call_grpc_asyncio():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_entry_types),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.ListEntryTypesResponse(
+            next_page_token='next_page_token_value',
+            unreachable_locations=['unreachable_locations_value'],
+        ))
+        await client.list_entry_types(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.ListEntryTypesRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_get_entry_type_empty_call_grpc_asyncio():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_entry_type),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.EntryType(
+            name='name_value',
+            uid='uid_value',
+            description='description_value',
+            display_name='display_name_value',
+            etag='etag_value',
+            type_aliases=['type_aliases_value'],
+            platform='platform_value',
+            system='system_value',
+        ))
+        await client.get_entry_type(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.GetEntryTypeRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_create_aspect_type_empty_call_grpc_asyncio():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_aspect_type),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        await client.create_aspect_type(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.CreateAspectTypeRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_update_aspect_type_empty_call_grpc_asyncio():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_aspect_type),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        await client.update_aspect_type(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.UpdateAspectTypeRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_delete_aspect_type_empty_call_grpc_asyncio():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_aspect_type),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        await client.delete_aspect_type(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.DeleteAspectTypeRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_list_aspect_types_empty_call_grpc_asyncio():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_aspect_types),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.ListAspectTypesResponse(
+            next_page_token='next_page_token_value',
+            unreachable_locations=['unreachable_locations_value'],
+        ))
+        await client.list_aspect_types(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.ListAspectTypesRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_get_aspect_type_empty_call_grpc_asyncio():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_aspect_type),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.AspectType(
+            name='name_value',
+            uid='uid_value',
+            description='description_value',
+            display_name='display_name_value',
+            etag='etag_value',
+            transfer_status=catalog.TransferStatus.TRANSFER_STATUS_MIGRATED,
+        ))
+        await client.get_aspect_type(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.GetAspectTypeRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_create_entry_group_empty_call_grpc_asyncio():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_entry_group),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        await client.create_entry_group(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.CreateEntryGroupRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_update_entry_group_empty_call_grpc_asyncio():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_entry_group),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        await client.update_entry_group(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.UpdateEntryGroupRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_delete_entry_group_empty_call_grpc_asyncio():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_entry_group),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        await client.delete_entry_group(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.DeleteEntryGroupRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_list_entry_groups_empty_call_grpc_asyncio():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_entry_groups),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.ListEntryGroupsResponse(
+            next_page_token='next_page_token_value',
+            unreachable_locations=['unreachable_locations_value'],
+        ))
+        await client.list_entry_groups(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.ListEntryGroupsRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_get_entry_group_empty_call_grpc_asyncio():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_entry_group),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.EntryGroup(
+            name='name_value',
+            uid='uid_value',
+            description='description_value',
+            display_name='display_name_value',
+            etag='etag_value',
+            transfer_status=catalog.TransferStatus.TRANSFER_STATUS_MIGRATED,
+        ))
+        await client.get_entry_group(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.GetEntryGroupRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_create_entry_empty_call_grpc_asyncio():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_entry),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.Entry(
+            name='name_value',
+            entry_type='entry_type_value',
+            parent_entry='parent_entry_value',
+            fully_qualified_name='fully_qualified_name_value',
+        ))
+        await client.create_entry(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.CreateEntryRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_update_entry_empty_call_grpc_asyncio():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_entry),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.Entry(
+            name='name_value',
+            entry_type='entry_type_value',
+            parent_entry='parent_entry_value',
+            fully_qualified_name='fully_qualified_name_value',
+        ))
+        await client.update_entry(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.UpdateEntryRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_delete_entry_empty_call_grpc_asyncio():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_entry),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.Entry(
+            name='name_value',
+            entry_type='entry_type_value',
+            parent_entry='parent_entry_value',
+            fully_qualified_name='fully_qualified_name_value',
+        ))
+        await client.delete_entry(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.DeleteEntryRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_list_entries_empty_call_grpc_asyncio():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_entries),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.ListEntriesResponse(
+            next_page_token='next_page_token_value',
+        ))
+        await client.list_entries(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.ListEntriesRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_get_entry_empty_call_grpc_asyncio():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_entry),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.Entry(
+            name='name_value',
+            entry_type='entry_type_value',
+            parent_entry='parent_entry_value',
+            fully_qualified_name='fully_qualified_name_value',
+        ))
+        await client.get_entry(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.GetEntryRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_lookup_entry_empty_call_grpc_asyncio():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.lookup_entry),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.Entry(
+            name='name_value',
+            entry_type='entry_type_value',
+            parent_entry='parent_entry_value',
+            fully_qualified_name='fully_qualified_name_value',
+        ))
+        await client.lookup_entry(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.LookupEntryRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_search_entries_empty_call_grpc_asyncio():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.search_entries),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.SearchEntriesResponse(
+            total_size=1086,
+            next_page_token='next_page_token_value',
+            unreachable=['unreachable_value'],
+        ))
+        await client.search_entries(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.SearchEntriesRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_create_metadata_job_empty_call_grpc_asyncio():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_metadata_job),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        await client.create_metadata_job(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.CreateMetadataJobRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_get_metadata_job_empty_call_grpc_asyncio():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_metadata_job),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.MetadataJob(
+            name='name_value',
+            uid='uid_value',
+            type_=catalog.MetadataJob.Type.IMPORT,
+        ))
+        await client.get_metadata_job(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.GetMetadataJobRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_list_metadata_jobs_empty_call_grpc_asyncio():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_metadata_jobs),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.ListMetadataJobsResponse(
+            next_page_token='next_page_token_value',
+            unreachable_locations=['unreachable_locations_value'],
+        ))
+        await client.list_metadata_jobs(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.ListMetadataJobsRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_cancel_metadata_job_empty_call_grpc_asyncio():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.cancel_metadata_job),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
+        await client.cancel_metadata_job(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.CancelMetadataJobRequest()
+
+        assert args[0] == request_msg
+
+
+def test_transport_grpc_default():
+    # A client should use the gRPC transport by default.
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    assert isinstance(
+        client.transport,
+        transports.CatalogServiceGrpcTransport,
+    )
+
+def test_catalog_service_base_transport_error():
+    # Passing both a credentials object and credentials_file should raise an error
+    with pytest.raises(core_exceptions.DuplicateCredentialArgs):
+        transport = transports.CatalogServiceTransport(
+            credentials=ga_credentials.AnonymousCredentials(),
+            credentials_file="credentials.json"
+        )
+
+
+def test_catalog_service_base_transport():
+    # Instantiate the base transport.
+    with mock.patch('google.cloud.dataplex_v1.services.catalog_service.transports.CatalogServiceTransport.__init__') as Transport:
+        Transport.return_value = None
+        transport = transports.CatalogServiceTransport(
+            credentials=ga_credentials.AnonymousCredentials(),
+        )
+
+    # Every method on the transport should just blindly
+    # raise NotImplementedError.
+    methods = (
+        'create_entry_type',
+        'update_entry_type',
+        'delete_entry_type',
+        'list_entry_types',
+        'get_entry_type',
+        'create_aspect_type',
+        'update_aspect_type',
+        'delete_aspect_type',
+        'list_aspect_types',
+        'get_aspect_type',
+        'create_entry_group',
+        'update_entry_group',
+        'delete_entry_group',
+        'list_entry_groups',
+        'get_entry_group',
+        'create_entry',
+        'update_entry',
+        'delete_entry',
+        'list_entries',
+        'get_entry',
+        'lookup_entry',
+        'search_entries',
+        'create_metadata_job',
+        'get_metadata_job',
+        'list_metadata_jobs',
+        'cancel_metadata_job',
+        'get_location',
+        'list_locations',
+        'get_operation',
+        'cancel_operation',
+        'delete_operation',
+        'list_operations',
+    )
+    for method in methods:
+        with pytest.raises(NotImplementedError):
+            getattr(transport, method)(request=object())
+
+    with pytest.raises(NotImplementedError):
+        transport.close()
+
+    # Additionally, the LRO client (a property) should
+    # also raise NotImplementedError
+    with pytest.raises(NotImplementedError):
+        transport.operations_client
+
+    # Catch all for all remaining methods and properties
+    remainder = [
+        'kind',
+    ]
+    for r in remainder:
+        with pytest.raises(NotImplementedError):
+            getattr(transport, r)()
+
+
+def test_catalog_service_base_transport_with_credentials_file():
+    # Instantiate the base transport with a credentials file
+    with mock.patch.object(google.auth, 'load_credentials_from_file', autospec=True) as load_creds, mock.patch('google.cloud.dataplex_v1.services.catalog_service.transports.CatalogServiceTransport._prep_wrapped_messages') as Transport:
+        Transport.return_value = None
+        load_creds.return_value = (ga_credentials.AnonymousCredentials(), None)
+        transport = transports.CatalogServiceTransport(
+            credentials_file="credentials.json",
+            quota_project_id="octopus",
+        )
+        load_creds.assert_called_once_with("credentials.json",
+            scopes=None,
+            default_scopes=(
+            'https://www.googleapis.com/auth/cloud-platform',
+),
+            quota_project_id="octopus",
+        )
+
+
+def test_catalog_service_base_transport_with_adc():
+    # Test the default credentials are used if credentials and credentials_file are None.
+    with mock.patch.object(google.auth, 'default', autospec=True) as adc, mock.patch('google.cloud.dataplex_v1.services.catalog_service.transports.CatalogServiceTransport._prep_wrapped_messages') as Transport:
+        Transport.return_value = None
+        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
+        transport = transports.CatalogServiceTransport()
+        adc.assert_called_once()
+
+
+def test_catalog_service_auth_adc():
+    # If no credentials are provided, we should use ADC credentials.
+    with mock.patch.object(google.auth, 'default', autospec=True) as adc:
+        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
+        CatalogServiceClient()
+        adc.assert_called_once_with(
+            scopes=None,
+            default_scopes=(
+            'https://www.googleapis.com/auth/cloud-platform',
+),
+            quota_project_id=None,
+        )
+
+
+@pytest.mark.parametrize(
+    "transport_class",
+    [
+        transports.CatalogServiceGrpcTransport,
+        transports.CatalogServiceGrpcAsyncIOTransport,
+    ],
+)
+def test_catalog_service_transport_auth_adc(transport_class):
+    # If credentials and host are not provided, the transport class should use
+    # ADC credentials.
+    with mock.patch.object(google.auth, 'default', autospec=True) as adc:
+        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
+        transport_class(quota_project_id="octopus", scopes=["1", "2"])
+        adc.assert_called_once_with(
+            scopes=["1", "2"],
+            default_scopes=(                'https://www.googleapis.com/auth/cloud-platform',),
+            quota_project_id="octopus",
+        )
+
+
+@pytest.mark.parametrize(
+    "transport_class",
+    [
+        transports.CatalogServiceGrpcTransport,
+        transports.CatalogServiceGrpcAsyncIOTransport,
+    ],
+)
+def test_catalog_service_transport_auth_gdch_credentials(transport_class):
+    host = 'https://language.com'
+    api_audience_tests = [None, 'https://language2.com']
+    api_audience_expect = [host, 'https://language2.com']
+    for t, e in zip(api_audience_tests, api_audience_expect):
+        with mock.patch.object(google.auth, 'default', autospec=True) as adc:
+            gdch_mock = mock.MagicMock()
+            type(gdch_mock).with_gdch_audience = mock.PropertyMock(return_value=gdch_mock)
+            adc.return_value = (gdch_mock, None)
+            transport_class(host=host, api_audience=t)
+            gdch_mock.with_gdch_audience.assert_called_once_with(
+                e
+            )
+
+
+@pytest.mark.parametrize(
+    "transport_class,grpc_helpers",
+    [
+        (transports.CatalogServiceGrpcTransport, grpc_helpers),
+        (transports.CatalogServiceGrpcAsyncIOTransport, grpc_helpers_async)
+    ],
+)
+def test_catalog_service_transport_create_channel(transport_class, grpc_helpers):
+    # If credentials and host are not provided, the transport class should use
+    # ADC credentials.
+    with mock.patch.object(google.auth, "default", autospec=True) as adc, mock.patch.object(
+        grpc_helpers, "create_channel", autospec=True
+    ) as create_channel:
+        creds = ga_credentials.AnonymousCredentials()
+        adc.return_value = (creds, None)
+        transport_class(
+            quota_project_id="octopus",
+            scopes=["1", "2"]
+        )
+
+        create_channel.assert_called_with(
+            "dataplex.googleapis.com:443",
+            credentials=creds,
+            credentials_file=None,
+            quota_project_id="octopus",
+            default_scopes=(
+                'https://www.googleapis.com/auth/cloud-platform',
+),
+            scopes=["1", "2"],
+            default_host="dataplex.googleapis.com",
+            ssl_credentials=None,
+            options=[
+                ("grpc.max_send_message_length", -1),
+                ("grpc.max_receive_message_length", -1),
+            ],
+        )
+
+
+@pytest.mark.parametrize("transport_class", [transports.CatalogServiceGrpcTransport, transports.CatalogServiceGrpcAsyncIOTransport])
+def test_catalog_service_grpc_transport_client_cert_source_for_mtls(
+    transport_class
+):
+    cred = ga_credentials.AnonymousCredentials()
+
+    # Check ssl_channel_credentials is used if provided.
+    with mock.patch.object(transport_class, "create_channel") as mock_create_channel:
+        mock_ssl_channel_creds = mock.Mock()
+        transport_class(
+            host="squid.clam.whelk",
+            credentials=cred,
+            ssl_channel_credentials=mock_ssl_channel_creds
+        )
+        mock_create_channel.assert_called_once_with(
+            "squid.clam.whelk:443",
+            credentials=cred,
+            credentials_file=None,
+            scopes=None,
+            ssl_credentials=mock_ssl_channel_creds,
+            quota_project_id=None,
+            options=[
+                ("grpc.max_send_message_length", -1),
+                ("grpc.max_receive_message_length", -1),
+            ],
+        )
+
+    # Check if ssl_channel_credentials is not provided, then client_cert_source_for_mtls
+    # is used.
+    with mock.patch.object(transport_class, "create_channel", return_value=mock.Mock()):
+        with mock.patch("grpc.ssl_channel_credentials") as mock_ssl_cred:
+            transport_class(
+                credentials=cred,
+                client_cert_source_for_mtls=client_cert_source_callback
+            )
+            expected_cert, expected_key = client_cert_source_callback()
+            mock_ssl_cred.assert_called_once_with(
+                certificate_chain=expected_cert,
+                private_key=expected_key
+            )
+
+
+@pytest.mark.parametrize("transport_name", [
+    "grpc",
+    "grpc_asyncio",
+])
+def test_catalog_service_host_no_port(transport_name):
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        client_options=client_options.ClientOptions(api_endpoint='dataplex.googleapis.com'),
+         transport=transport_name,
+    )
+    assert client.transport._host == (
+        'dataplex.googleapis.com:443'
+    )
+
+@pytest.mark.parametrize("transport_name", [
+    "grpc",
+    "grpc_asyncio",
+])
+def test_catalog_service_host_with_port(transport_name):
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        client_options=client_options.ClientOptions(api_endpoint='dataplex.googleapis.com:8000'),
+        transport=transport_name,
+    )
+    assert client.transport._host == (
+        'dataplex.googleapis.com:8000'
+    )
+
+def test_catalog_service_grpc_transport_channel():
+    channel = grpc.secure_channel('http://localhost/', grpc.local_channel_credentials())
+
+    # Check that channel is used if provided.
+    transport = transports.CatalogServiceGrpcTransport(
+        host="squid.clam.whelk",
+        channel=channel,
+    )
+    assert transport.grpc_channel == channel
+    assert transport._host == "squid.clam.whelk:443"
+    assert transport._ssl_channel_credentials == None
+
+
+def test_catalog_service_grpc_asyncio_transport_channel():
+    channel = aio.secure_channel('http://localhost/', grpc.local_channel_credentials())
+
+    # Check that channel is used if provided.
+    transport = transports.CatalogServiceGrpcAsyncIOTransport(
+        host="squid.clam.whelk",
+        channel=channel,
+    )
+    assert transport.grpc_channel == channel
+    assert transport._host == "squid.clam.whelk:443"
+    assert transport._ssl_channel_credentials == None
+
+
+# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are
+# removed from grpc/grpc_asyncio transport constructor.
+@pytest.mark.parametrize("transport_class", [transports.CatalogServiceGrpcTransport, transports.CatalogServiceGrpcAsyncIOTransport])
+def test_catalog_service_transport_channel_mtls_with_client_cert_source(
+    transport_class
+):
+    with mock.patch("grpc.ssl_channel_credentials", autospec=True) as grpc_ssl_channel_cred:
+        with mock.patch.object(transport_class, "create_channel") as grpc_create_channel:
+            mock_ssl_cred = mock.Mock()
+            grpc_ssl_channel_cred.return_value = mock_ssl_cred
+
+            mock_grpc_channel = mock.Mock()
+            grpc_create_channel.return_value = mock_grpc_channel
+
+            cred = ga_credentials.AnonymousCredentials()
+            with pytest.warns(DeprecationWarning):
+                with mock.patch.object(google.auth, 'default') as adc:
+                    adc.return_value = (cred, None)
+                    transport = transport_class(
+                        host="squid.clam.whelk",
+                        api_mtls_endpoint="mtls.squid.clam.whelk",
+                        client_cert_source=client_cert_source_callback,
+                    )
+                    adc.assert_called_once()
+
+            grpc_ssl_channel_cred.assert_called_once_with(
+                certificate_chain=b"cert bytes", private_key=b"key bytes"
+            )
+            grpc_create_channel.assert_called_once_with(
+                "mtls.squid.clam.whelk:443",
+                credentials=cred,
+                credentials_file=None,
+                scopes=None,
+                ssl_credentials=mock_ssl_cred,
+                quota_project_id=None,
+                options=[
+                    ("grpc.max_send_message_length", -1),
+                    ("grpc.max_receive_message_length", -1),
+                ],
+            )
+            assert transport.grpc_channel == mock_grpc_channel
+            assert transport._ssl_channel_credentials == mock_ssl_cred
+
+
+# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are
+# removed from grpc/grpc_asyncio transport constructor.
+@pytest.mark.parametrize("transport_class", [transports.CatalogServiceGrpcTransport, transports.CatalogServiceGrpcAsyncIOTransport])
+def test_catalog_service_transport_channel_mtls_with_adc(
+    transport_class
+):
+    mock_ssl_cred = mock.Mock()
+    with mock.patch.multiple(
+        "google.auth.transport.grpc.SslCredentials",
+        __init__=mock.Mock(return_value=None),
+        ssl_credentials=mock.PropertyMock(return_value=mock_ssl_cred),
+    ):
+        with mock.patch.object(transport_class, "create_channel") as grpc_create_channel:
+            mock_grpc_channel = mock.Mock()
+            grpc_create_channel.return_value = mock_grpc_channel
+            mock_cred = mock.Mock()
+
+            with pytest.warns(DeprecationWarning):
+                transport = transport_class(
+                    host="squid.clam.whelk",
+                    credentials=mock_cred,
+                    api_mtls_endpoint="mtls.squid.clam.whelk",
+                    client_cert_source=None,
+                )
+
+            grpc_create_channel.assert_called_once_with(
+                "mtls.squid.clam.whelk:443",
+                credentials=mock_cred,
+                credentials_file=None,
+                scopes=None,
+                ssl_credentials=mock_ssl_cred,
+                quota_project_id=None,
+                options=[
+                    ("grpc.max_send_message_length", -1),
+                    ("grpc.max_receive_message_length", -1),
+                ],
+            )
+            assert transport.grpc_channel == mock_grpc_channel
+
+
+def test_catalog_service_grpc_lro_client():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+    transport = client.transport
+
+    # Ensure that we have a api-core operations client.
+    assert isinstance(
+        transport.operations_client,
+        operations_v1.OperationsClient,
+    )
+
+    # Ensure that subsequent calls to the property send the exact same object.
+    assert transport.operations_client is transport.operations_client
+
+
+def test_catalog_service_grpc_lro_async_client():
+    client = CatalogServiceAsyncClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc_asyncio',
+    )
+    transport = client.transport
+
+    # Ensure that we have a api-core operations client.
+    assert isinstance(
+        transport.operations_client,
+        operations_v1.OperationsAsyncClient,
+    )
+
+    # Ensure that subsequent calls to the property send the exact same object.
+    assert transport.operations_client is transport.operations_client
+
+
+def test_aspect_type_path():
+    project = "squid"
+    location = "clam"
+    aspect_type = "whelk"
+    expected = "projects/{project}/locations/{location}/aspectTypes/{aspect_type}".format(project=project, location=location, aspect_type=aspect_type, )
+    actual = CatalogServiceClient.aspect_type_path(project, location, aspect_type)
+    assert expected == actual
+
+
+def test_parse_aspect_type_path():
+    expected = {
+        "project": "octopus",
+        "location": "oyster",
+        "aspect_type": "nudibranch",
+    }
+    path = CatalogServiceClient.aspect_type_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = CatalogServiceClient.parse_aspect_type_path(path)
+    assert expected == actual
+
+def test_entry_path():
+    project = "cuttlefish"
+    location = "mussel"
+    entry_group = "winkle"
+    entry = "nautilus"
+    expected = "projects/{project}/locations/{location}/entryGroups/{entry_group}/entries/{entry}".format(project=project, location=location, entry_group=entry_group, entry=entry, )
+    actual = CatalogServiceClient.entry_path(project, location, entry_group, entry)
+    assert expected == actual
+
+
+def test_parse_entry_path():
+    expected = {
+        "project": "scallop",
+        "location": "abalone",
+        "entry_group": "squid",
+        "entry": "clam",
+    }
+    path = CatalogServiceClient.entry_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = CatalogServiceClient.parse_entry_path(path)
+    assert expected == actual
+
+def test_entry_group_path():
+    project = "whelk"
+    location = "octopus"
+    entry_group = "oyster"
+    expected = "projects/{project}/locations/{location}/entryGroups/{entry_group}".format(project=project, location=location, entry_group=entry_group, )
+    actual = CatalogServiceClient.entry_group_path(project, location, entry_group)
+    assert expected == actual
+
+
+def test_parse_entry_group_path():
+    expected = {
+        "project": "nudibranch",
+        "location": "cuttlefish",
+        "entry_group": "mussel",
+    }
+    path = CatalogServiceClient.entry_group_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = CatalogServiceClient.parse_entry_group_path(path)
+    assert expected == actual
+
+def test_entry_type_path():
+    project = "winkle"
+    location = "nautilus"
+    entry_type = "scallop"
+    expected = "projects/{project}/locations/{location}/entryTypes/{entry_type}".format(project=project, location=location, entry_type=entry_type, )
+    actual = CatalogServiceClient.entry_type_path(project, location, entry_type)
+    assert expected == actual
+
+
+def test_parse_entry_type_path():
+    expected = {
+        "project": "abalone",
+        "location": "squid",
+        "entry_type": "clam",
+    }
+    path = CatalogServiceClient.entry_type_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = CatalogServiceClient.parse_entry_type_path(path)
+    assert expected == actual
+
+def test_metadata_job_path():
+    project = "whelk"
+    location = "octopus"
+    metadataJob = "oyster"
+    expected = "projects/{project}/locations/{location}/metadataJobs/{metadataJob}".format(project=project, location=location, metadataJob=metadataJob, )
+    actual = CatalogServiceClient.metadata_job_path(project, location, metadataJob)
+    assert expected == actual
+
+
+def test_parse_metadata_job_path():
+    expected = {
+        "project": "nudibranch",
+        "location": "cuttlefish",
+        "metadataJob": "mussel",
+    }
+    path = CatalogServiceClient.metadata_job_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = CatalogServiceClient.parse_metadata_job_path(path)
+    assert expected == actual
+
+def test_common_billing_account_path():
+    billing_account = "winkle"
+    expected = "billingAccounts/{billing_account}".format(billing_account=billing_account, )
+    actual = CatalogServiceClient.common_billing_account_path(billing_account)
+    assert expected == actual
+
+
+def test_parse_common_billing_account_path():
+    expected = {
+        "billing_account": "nautilus",
+    }
+    path = CatalogServiceClient.common_billing_account_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = CatalogServiceClient.parse_common_billing_account_path(path)
+    assert expected == actual
+
+def test_common_folder_path():
+    folder = "scallop"
+    expected = "folders/{folder}".format(folder=folder, )
+    actual = CatalogServiceClient.common_folder_path(folder)
+    assert expected == actual
+
+
+def test_parse_common_folder_path():
+    expected = {
+        "folder": "abalone",
+    }
+    path = CatalogServiceClient.common_folder_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = CatalogServiceClient.parse_common_folder_path(path)
+    assert expected == actual
+
+def test_common_organization_path():
+    organization = "squid"
+    expected = "organizations/{organization}".format(organization=organization, )
+    actual = CatalogServiceClient.common_organization_path(organization)
+    assert expected == actual
+
+
+def test_parse_common_organization_path():
+    expected = {
+        "organization": "clam",
+    }
+    path = CatalogServiceClient.common_organization_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = CatalogServiceClient.parse_common_organization_path(path)
+    assert expected == actual
+
+def test_common_project_path():
+    project = "whelk"
+    expected = "projects/{project}".format(project=project, )
+    actual = CatalogServiceClient.common_project_path(project)
+    assert expected == actual
+
+
+def test_parse_common_project_path():
+    expected = {
+        "project": "octopus",
+    }
+    path = CatalogServiceClient.common_project_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = CatalogServiceClient.parse_common_project_path(path)
+    assert expected == actual
+
+def test_common_location_path():
+    project = "oyster"
+    location = "nudibranch"
+    expected = "projects/{project}/locations/{location}".format(project=project, location=location, )
+    actual = CatalogServiceClient.common_location_path(project, location)
+    assert expected == actual
+
+
+def test_parse_common_location_path():
+    expected = {
+        "project": "cuttlefish",
+        "location": "mussel",
+    }
+    path = CatalogServiceClient.common_location_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = CatalogServiceClient.parse_common_location_path(path)
+    assert expected == actual
+
+
+def test_client_with_default_client_info():
+    client_info = gapic_v1.client_info.ClientInfo()
+
+    with mock.patch.object(transports.CatalogServiceTransport, '_prep_wrapped_messages') as prep:
+        client = CatalogServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            client_info=client_info,
+        )
+        prep.assert_called_once_with(client_info)
+
+    with mock.patch.object(transports.CatalogServiceTransport, '_prep_wrapped_messages') as prep:
+        transport_class = CatalogServiceClient.get_transport_class()
+        transport = transport_class(
+            credentials=ga_credentials.AnonymousCredentials(),
+            client_info=client_info,
+        )
+        prep.assert_called_once_with(client_info)
+
+
+def test_delete_operation(transport: str = "grpc"):
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.DeleteOperationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = None
+        response = client.delete_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert response is None
+@pytest.mark.asyncio
+async def test_delete_operation_async(transport: str = "grpc_asyncio"):
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.DeleteOperationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            None
+        )
+        response = await client.delete_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert response is None
+
+def test_delete_operation_field_headers():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.DeleteOperationRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
+        call.return_value =  None
+
+        client.delete_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+@pytest.mark.asyncio
+async def test_delete_operation_field_headers_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.DeleteOperationRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            None
+        )
+        await client.delete_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+
+def test_delete_operation_from_dict():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = None
+
+        response = client.delete_operation(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+@pytest.mark.asyncio
+async def test_delete_operation_from_dict_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            None
+        )
+        response = await client.delete_operation(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+
+
+def test_cancel_operation(transport: str = "grpc"):
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.CancelOperationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = None
+        response = client.cancel_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert response is None
+@pytest.mark.asyncio
+async def test_cancel_operation_async(transport: str = "grpc_asyncio"):
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.CancelOperationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            None
+        )
+        response = await client.cancel_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert response is None
+
+def test_cancel_operation_field_headers():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.CancelOperationRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
+        call.return_value =  None
+
+        client.cancel_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+@pytest.mark.asyncio
+async def test_cancel_operation_field_headers_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.CancelOperationRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            None
+        )
+        await client.cancel_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+
+def test_cancel_operation_from_dict():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = None
+
+        response = client.cancel_operation(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+@pytest.mark.asyncio
+async def test_cancel_operation_from_dict_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            None
+        )
+        response = await client.cancel_operation(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+
+
+def test_get_operation(transport: str = "grpc"):
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.GetOperationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation()
+        response = client.get_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, operations_pb2.Operation)
+@pytest.mark.asyncio
+async def test_get_operation_async(transport: str = "grpc_asyncio"):
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.GetOperationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation()
+        )
+        response = await client.get_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, operations_pb2.Operation)
+
+def test_get_operation_field_headers():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.GetOperationRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
+        call.return_value = operations_pb2.Operation()
+
+        client.get_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+@pytest.mark.asyncio
+async def test_get_operation_field_headers_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.GetOperationRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation()
+        )
+        await client.get_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+
+def test_get_operation_from_dict():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation()
+
+        response = client.get_operation(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+@pytest.mark.asyncio
+async def test_get_operation_from_dict_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation()
+        )
+        response = await client.get_operation(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+
+
+def test_list_operations(transport: str = "grpc"):
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.ListOperationsRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.ListOperationsResponse()
+        response = client.list_operations(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, operations_pb2.ListOperationsResponse)
+@pytest.mark.asyncio
+async def test_list_operations_async(transport: str = "grpc_asyncio"):
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.ListOperationsRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.ListOperationsResponse()
+        )
+        response = await client.list_operations(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, operations_pb2.ListOperationsResponse)
+
+def test_list_operations_field_headers():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.ListOperationsRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
+        call.return_value = operations_pb2.ListOperationsResponse()
+
+        client.list_operations(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+@pytest.mark.asyncio
+async def test_list_operations_field_headers_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.ListOperationsRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.ListOperationsResponse()
+        )
+        await client.list_operations(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+
+def test_list_operations_from_dict():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.ListOperationsResponse()
+
+        response = client.list_operations(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+@pytest.mark.asyncio
+async def test_list_operations_from_dict_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.ListOperationsResponse()
+        )
+        response = await client.list_operations(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+
+
+def test_list_locations(transport: str = "grpc"):
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = locations_pb2.ListLocationsRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = locations_pb2.ListLocationsResponse()
+        response = client.list_locations(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, locations_pb2.ListLocationsResponse)
+@pytest.mark.asyncio
+async def test_list_locations_async(transport: str = "grpc_asyncio"):
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = locations_pb2.ListLocationsRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            locations_pb2.ListLocationsResponse()
+        )
+        response = await client.list_locations(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, locations_pb2.ListLocationsResponse)
+
+def test_list_locations_field_headers():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = locations_pb2.ListLocationsRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
+        call.return_value = locations_pb2.ListLocationsResponse()
+
+        client.list_locations(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+@pytest.mark.asyncio
+async def test_list_locations_field_headers_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = locations_pb2.ListLocationsRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            locations_pb2.ListLocationsResponse()
+        )
+        await client.list_locations(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+
+def test_list_locations_from_dict():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = locations_pb2.ListLocationsResponse()
+
+        response = client.list_locations(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+@pytest.mark.asyncio
+async def test_list_locations_from_dict_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            locations_pb2.ListLocationsResponse()
+        )
+        response = await client.list_locations(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+
+
+def test_get_location(transport: str = "grpc"):
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = locations_pb2.GetLocationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_location), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = locations_pb2.Location()
+        response = client.get_location(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, locations_pb2.Location)
+@pytest.mark.asyncio
+async def test_get_location_async(transport: str = "grpc_asyncio"):
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = locations_pb2.GetLocationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_location), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            locations_pb2.Location()
+        )
+        response = await client.get_location(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, locations_pb2.Location)
+
+def test_get_location_field_headers():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials())
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = locations_pb2.GetLocationRequest()
+    request.name = "locations/abc"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_location), "__call__") as call:
+        call.return_value = locations_pb2.Location()
+
+        client.get_location(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations/abc",) in kw["metadata"]
+@pytest.mark.asyncio
+async def test_get_location_field_headers_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials()
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = locations_pb2.GetLocationRequest()
+    request.name = "locations/abc"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_location), "__call__") as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            locations_pb2.Location()
+        )
+        await client.get_location(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations/abc",) in kw["metadata"]
+
+def test_get_location_from_dict():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = locations_pb2.Location()
+
+        response = client.get_location(
+            request={
+                "name": "locations/abc",
+            }
+        )
+        call.assert_called()
+@pytest.mark.asyncio
+async def test_get_location_from_dict_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            locations_pb2.Location()
+        )
+        response = await client.get_location(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+
+
+def test_transport_close_grpc():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc"
+    )
+    with mock.patch.object(type(getattr(client.transport, "_grpc_channel")), "close") as close:
+        with client:
+            close.assert_not_called()
+        close.assert_called_once()
+
+
+@pytest.mark.asyncio
+async def test_transport_close_grpc_asyncio():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio"
+    )
+    with mock.patch.object(type(getattr(client.transport, "_grpc_channel")), "close") as close:
+        async with client:
+            close.assert_not_called()
+        close.assert_called_once()
+
+
+def test_client_ctx():
+    transports = [
+        'grpc',
+    ]
+    for transport in transports:
+        client = CatalogServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport=transport
+        )
+        # Test client calls underlying transport.
+        with mock.patch.object(type(client.transport), "close") as close:
+            close.assert_not_called()
+            with client:
+                pass
+            close.assert_called()
+
+@pytest.mark.parametrize("client_class,transport_class", [
+    (CatalogServiceClient, transports.CatalogServiceGrpcTransport),
+    (CatalogServiceAsyncClient, transports.CatalogServiceGrpcAsyncIOTransport),
+])
+def test_api_key_credentials(client_class, transport_class):
+    with mock.patch.object(
+        google.auth._default, "get_api_key_credentials", create=True
+    ) as get_api_key_credentials:
+        mock_cred = mock.Mock()
+        get_api_key_credentials.return_value = mock_cred
+        options = client_options.ClientOptions()
+        options.api_key = "api_key"
+        with mock.patch.object(transport_class, "__init__") as patched:
+            patched.return_value = None
+            client = client_class(client_options=options)
+            patched.assert_called_once_with(
+                credentials=mock_cred,
+                credentials_file=None,
+                host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
+                scopes=None,
+                client_cert_source_for_mtls=None,
+                quota_project_id=None,
+                client_info=transports.base.DEFAULT_CLIENT_INFO,
+                always_use_jwt_access=True,
+                api_audience=None,
+            )
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/tests/unit/gapic/dataplex_v1/test_content_service.py b/owl-bot-staging/google-cloud-dataplex/v1/tests/unit/gapic/dataplex_v1/test_content_service.py
new file mode 100644
index 000000000000..5d28ebbdf192
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/tests/unit/gapic/dataplex_v1/test_content_service.py
@@ -0,0 +1,5202 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+import os
+# try/except added for compatibility with python < 3.8
+try:
+    from unittest import mock
+    from unittest.mock import AsyncMock  # pragma: NO COVER
+except ImportError:  # pragma: NO COVER
+    import mock
+
+import grpc
+from grpc.experimental import aio
+import math
+import pytest
+from google.api_core import api_core_version
+from proto.marshal.rules.dates import DurationRule, TimestampRule
+from proto.marshal.rules import wrappers
+
+try:
+    from google.auth.aio import credentials as ga_credentials_async
+    HAS_GOOGLE_AUTH_AIO = True
+except ImportError: # pragma: NO COVER
+    HAS_GOOGLE_AUTH_AIO = False
+
+from google.api_core import client_options
+from google.api_core import exceptions as core_exceptions
+from google.api_core import gapic_v1
+from google.api_core import grpc_helpers
+from google.api_core import grpc_helpers_async
+from google.api_core import path_template
+from google.api_core import retry as retries
+from google.auth import credentials as ga_credentials
+from google.auth.exceptions import MutualTLSChannelError
+from google.cloud.dataplex_v1.services.content_service import ContentServiceAsyncClient
+from google.cloud.dataplex_v1.services.content_service import ContentServiceClient
+from google.cloud.dataplex_v1.services.content_service import pagers
+from google.cloud.dataplex_v1.services.content_service import transports
+from google.cloud.dataplex_v1.types import analyze
+from google.cloud.dataplex_v1.types import content
+from google.cloud.dataplex_v1.types import content as gcd_content
+from google.cloud.location import locations_pb2
+from google.iam.v1 import iam_policy_pb2  # type: ignore
+from google.iam.v1 import options_pb2  # type: ignore
+from google.iam.v1 import policy_pb2  # type: ignore
+from google.longrunning import operations_pb2 # type: ignore
+from google.oauth2 import service_account
+from google.protobuf import field_mask_pb2  # type: ignore
+from google.protobuf import timestamp_pb2  # type: ignore
+from google.type import expr_pb2  # type: ignore
+import google.auth
+
+
+async def mock_async_gen(data, chunk_size=1):
+    for i in range(0, len(data)):  # pragma: NO COVER
+        chunk = data[i : i + chunk_size]
+        yield chunk.encode("utf-8")
+
+def client_cert_source_callback():
+    return b"cert bytes", b"key bytes"
+
+# TODO: use async auth anon credentials by default once the minimum version of google-auth is upgraded.
+# See related issue: https://github.com/googleapis/gapic-generator-python/issues/2107.
+def async_anonymous_credentials():
+    if HAS_GOOGLE_AUTH_AIO:
+        return ga_credentials_async.AnonymousCredentials()
+    return ga_credentials.AnonymousCredentials()
+
+# If default endpoint is localhost, then default mtls endpoint will be the same.
+# This method modifies the default endpoint so the client can produce a different
+# mtls endpoint for endpoint testing purposes.
+def modify_default_endpoint(client):
+    return "foo.googleapis.com" if ("localhost" in client.DEFAULT_ENDPOINT) else client.DEFAULT_ENDPOINT
+
+# If default endpoint template is localhost, then default mtls endpoint will be the same.
+# This method modifies the default endpoint template so the client can produce a different
+# mtls endpoint for endpoint testing purposes.
+def modify_default_endpoint_template(client):
+    return "test.{UNIVERSE_DOMAIN}" if ("localhost" in client._DEFAULT_ENDPOINT_TEMPLATE) else client._DEFAULT_ENDPOINT_TEMPLATE
+
+
+def test__get_default_mtls_endpoint():
+    api_endpoint = "example.googleapis.com"
+    api_mtls_endpoint = "example.mtls.googleapis.com"
+    sandbox_endpoint = "example.sandbox.googleapis.com"
+    sandbox_mtls_endpoint = "example.mtls.sandbox.googleapis.com"
+    non_googleapi = "api.example.com"
+
+    assert ContentServiceClient._get_default_mtls_endpoint(None) is None
+    assert ContentServiceClient._get_default_mtls_endpoint(api_endpoint) == api_mtls_endpoint
+    assert ContentServiceClient._get_default_mtls_endpoint(api_mtls_endpoint) == api_mtls_endpoint
+    assert ContentServiceClient._get_default_mtls_endpoint(sandbox_endpoint) == sandbox_mtls_endpoint
+    assert ContentServiceClient._get_default_mtls_endpoint(sandbox_mtls_endpoint) == sandbox_mtls_endpoint
+    assert ContentServiceClient._get_default_mtls_endpoint(non_googleapi) == non_googleapi
+
+def test__read_environment_variables():
+    assert ContentServiceClient._read_environment_variables() == (False, "auto", None)
+
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
+        assert ContentServiceClient._read_environment_variables() == (True, "auto", None)
+
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "false"}):
+        assert ContentServiceClient._read_environment_variables() == (False, "auto", None)
+
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}):
+        with pytest.raises(ValueError) as excinfo:
+            ContentServiceClient._read_environment_variables()
+    assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`"
+
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
+        assert ContentServiceClient._read_environment_variables() == (False, "never", None)
+
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
+        assert ContentServiceClient._read_environment_variables() == (False, "always", None)
+
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "auto"}):
+        assert ContentServiceClient._read_environment_variables() == (False, "auto", None)
+
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}):
+        with pytest.raises(MutualTLSChannelError) as excinfo:
+            ContentServiceClient._read_environment_variables()
+    assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`"
+
+    with mock.patch.dict(os.environ, {"GOOGLE_CLOUD_UNIVERSE_DOMAIN": "foo.com"}):
+        assert ContentServiceClient._read_environment_variables() == (False, "auto", "foo.com")
+
+def test__get_client_cert_source():
+    mock_provided_cert_source = mock.Mock()
+    mock_default_cert_source = mock.Mock()
+
+    assert ContentServiceClient._get_client_cert_source(None, False) is None
+    assert ContentServiceClient._get_client_cert_source(mock_provided_cert_source, False) is None
+    assert ContentServiceClient._get_client_cert_source(mock_provided_cert_source, True) == mock_provided_cert_source
+
+    with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True):
+        with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=mock_default_cert_source):
+            assert ContentServiceClient._get_client_cert_source(None, True) is mock_default_cert_source
+            assert ContentServiceClient._get_client_cert_source(mock_provided_cert_source, "true") is mock_provided_cert_source
+
+@mock.patch.object(ContentServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(ContentServiceClient))
+@mock.patch.object(ContentServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(ContentServiceAsyncClient))
+def test__get_api_endpoint():
+    api_override = "foo.com"
+    mock_client_cert_source = mock.Mock()
+    default_universe = ContentServiceClient._DEFAULT_UNIVERSE
+    default_endpoint = ContentServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=default_universe)
+    mock_universe = "bar.com"
+    mock_endpoint = ContentServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=mock_universe)
+
+    assert ContentServiceClient._get_api_endpoint(api_override, mock_client_cert_source, default_universe, "always") == api_override
+    assert ContentServiceClient._get_api_endpoint(None, mock_client_cert_source, default_universe, "auto") == ContentServiceClient.DEFAULT_MTLS_ENDPOINT
+    assert ContentServiceClient._get_api_endpoint(None, None, default_universe, "auto") == default_endpoint
+    assert ContentServiceClient._get_api_endpoint(None, None, default_universe, "always") == ContentServiceClient.DEFAULT_MTLS_ENDPOINT
+    assert ContentServiceClient._get_api_endpoint(None, mock_client_cert_source, default_universe, "always") == ContentServiceClient.DEFAULT_MTLS_ENDPOINT
+    assert ContentServiceClient._get_api_endpoint(None, None, mock_universe, "never") == mock_endpoint
+    assert ContentServiceClient._get_api_endpoint(None, None, default_universe, "never") == default_endpoint
+
+    with pytest.raises(MutualTLSChannelError) as excinfo:
+        ContentServiceClient._get_api_endpoint(None, mock_client_cert_source, mock_universe, "auto")
+    assert str(excinfo.value) == "mTLS is not supported in any universe other than googleapis.com."
+
+
+def test__get_universe_domain():
+    client_universe_domain = "foo.com"
+    universe_domain_env = "bar.com"
+
+    assert ContentServiceClient._get_universe_domain(client_universe_domain, universe_domain_env) == client_universe_domain
+    assert ContentServiceClient._get_universe_domain(None, universe_domain_env) == universe_domain_env
+    assert ContentServiceClient._get_universe_domain(None, None) == ContentServiceClient._DEFAULT_UNIVERSE
+
+    with pytest.raises(ValueError) as excinfo:
+        ContentServiceClient._get_universe_domain("", None)
+    assert str(excinfo.value) == "Universe Domain cannot be an empty string."
+
+
+@pytest.mark.parametrize("client_class,transport_name", [
+    (ContentServiceClient, "grpc"),
+    (ContentServiceAsyncClient, "grpc_asyncio"),
+])
+def test_content_service_client_from_service_account_info(client_class, transport_name):
+    creds = ga_credentials.AnonymousCredentials()
+    with mock.patch.object(service_account.Credentials, 'from_service_account_info') as factory:
+        factory.return_value = creds
+        info = {"valid": True}
+        client = client_class.from_service_account_info(info, transport=transport_name)
+        assert client.transport._credentials == creds
+        assert isinstance(client, client_class)
+
+        assert client.transport._host == (
+            'dataplex.googleapis.com:443'
+        )
+
+
+@pytest.mark.parametrize("transport_class,transport_name", [
+    (transports.ContentServiceGrpcTransport, "grpc"),
+    (transports.ContentServiceGrpcAsyncIOTransport, "grpc_asyncio"),
+])
+def test_content_service_client_service_account_always_use_jwt(transport_class, transport_name):
+    with mock.patch.object(service_account.Credentials, 'with_always_use_jwt_access', create=True) as use_jwt:
+        creds = service_account.Credentials(None, None, None)
+        transport = transport_class(credentials=creds, always_use_jwt_access=True)
+        use_jwt.assert_called_once_with(True)
+
+    with mock.patch.object(service_account.Credentials, 'with_always_use_jwt_access', create=True) as use_jwt:
+        creds = service_account.Credentials(None, None, None)
+        transport = transport_class(credentials=creds, always_use_jwt_access=False)
+        use_jwt.assert_not_called()
+
+
+@pytest.mark.parametrize("client_class,transport_name", [
+    (ContentServiceClient, "grpc"),
+    (ContentServiceAsyncClient, "grpc_asyncio"),
+])
+def test_content_service_client_from_service_account_file(client_class, transport_name):
+    creds = ga_credentials.AnonymousCredentials()
+    with mock.patch.object(service_account.Credentials, 'from_service_account_file') as factory:
+        factory.return_value = creds
+        client = client_class.from_service_account_file("dummy/file/path.json", transport=transport_name)
+        assert client.transport._credentials == creds
+        assert isinstance(client, client_class)
+
+        client = client_class.from_service_account_json("dummy/file/path.json", transport=transport_name)
+        assert client.transport._credentials == creds
+        assert isinstance(client, client_class)
+
+        assert client.transport._host == (
+            'dataplex.googleapis.com:443'
+        )
+
+
+def test_content_service_client_get_transport_class():
+    transport = ContentServiceClient.get_transport_class()
+    available_transports = [
+        transports.ContentServiceGrpcTransport,
+    ]
+    assert transport in available_transports
+
+    transport = ContentServiceClient.get_transport_class("grpc")
+    assert transport == transports.ContentServiceGrpcTransport
+
+
+@pytest.mark.parametrize("client_class,transport_class,transport_name", [
+    (ContentServiceClient, transports.ContentServiceGrpcTransport, "grpc"),
+    (ContentServiceAsyncClient, transports.ContentServiceGrpcAsyncIOTransport, "grpc_asyncio"),
+])
+@mock.patch.object(ContentServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(ContentServiceClient))
+@mock.patch.object(ContentServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(ContentServiceAsyncClient))
+def test_content_service_client_client_options(client_class, transport_class, transport_name):
+    # Check that if channel is provided we won't create a new one.
+    with mock.patch.object(ContentServiceClient, 'get_transport_class') as gtc:
+        transport = transport_class(
+            credentials=ga_credentials.AnonymousCredentials()
+        )
+        client = client_class(transport=transport)
+        gtc.assert_not_called()
+
+    # Check that if channel is provided via str we will create a new one.
+    with mock.patch.object(ContentServiceClient, 'get_transport_class') as gtc:
+        client = client_class(transport=transport_name)
+        gtc.assert_called()
+
+    # Check the case api_endpoint is provided.
+    options = client_options.ClientOptions(api_endpoint="squid.clam.whelk")
+    with mock.patch.object(transport_class, '__init__') as patched:
+        patched.return_value = None
+        client = client_class(transport=transport_name, client_options=options)
+        patched.assert_called_once_with(
+            credentials=None,
+            credentials_file=None,
+            host="squid.clam.whelk",
+            scopes=None,
+            client_cert_source_for_mtls=None,
+            quota_project_id=None,
+            client_info=transports.base.DEFAULT_CLIENT_INFO,
+            always_use_jwt_access=True,
+            api_audience=None,
+        )
+
+    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is
+    # "never".
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
+        with mock.patch.object(transport_class, '__init__') as patched:
+            patched.return_value = None
+            client = client_class(transport=transport_name)
+            patched.assert_called_once_with(
+                credentials=None,
+                credentials_file=None,
+                host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
+                scopes=None,
+                client_cert_source_for_mtls=None,
+                quota_project_id=None,
+                client_info=transports.base.DEFAULT_CLIENT_INFO,
+                always_use_jwt_access=True,
+                api_audience=None,
+            )
+
+    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is
+    # "always".
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
+        with mock.patch.object(transport_class, '__init__') as patched:
+            patched.return_value = None
+            client = client_class(transport=transport_name)
+            patched.assert_called_once_with(
+                credentials=None,
+                credentials_file=None,
+                host=client.DEFAULT_MTLS_ENDPOINT,
+                scopes=None,
+                client_cert_source_for_mtls=None,
+                quota_project_id=None,
+                client_info=transports.base.DEFAULT_CLIENT_INFO,
+                always_use_jwt_access=True,
+                api_audience=None,
+            )
+
+    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT has
+    # unsupported value.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}):
+        with pytest.raises(MutualTLSChannelError) as excinfo:
+            client = client_class(transport=transport_name)
+    assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`"
+
+    # Check the case GOOGLE_API_USE_CLIENT_CERTIFICATE has unsupported value.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}):
+        with pytest.raises(ValueError) as excinfo:
+            client = client_class(transport=transport_name)
+    assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`"
+
+    # Check the case quota_project_id is provided
+    options = client_options.ClientOptions(quota_project_id="octopus")
+    with mock.patch.object(transport_class, '__init__') as patched:
+        patched.return_value = None
+        client = client_class(client_options=options, transport=transport_name)
+        patched.assert_called_once_with(
+            credentials=None,
+            credentials_file=None,
+            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
+            scopes=None,
+            client_cert_source_for_mtls=None,
+            quota_project_id="octopus",
+            client_info=transports.base.DEFAULT_CLIENT_INFO,
+            always_use_jwt_access=True,
+            api_audience=None,
+        )
+    # Check the case api_endpoint is provided
+    options = client_options.ClientOptions(api_audience="https://language.googleapis.com")
+    with mock.patch.object(transport_class, '__init__') as patched:
+        patched.return_value = None
+        client = client_class(client_options=options, transport=transport_name)
+        patched.assert_called_once_with(
+            credentials=None,
+            credentials_file=None,
+            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
+            scopes=None,
+            client_cert_source_for_mtls=None,
+            quota_project_id=None,
+            client_info=transports.base.DEFAULT_CLIENT_INFO,
+            always_use_jwt_access=True,
+            api_audience="https://language.googleapis.com"
+        )
+
+@pytest.mark.parametrize("client_class,transport_class,transport_name,use_client_cert_env", [
+    (ContentServiceClient, transports.ContentServiceGrpcTransport, "grpc", "true"),
+    (ContentServiceAsyncClient, transports.ContentServiceGrpcAsyncIOTransport, "grpc_asyncio", "true"),
+    (ContentServiceClient, transports.ContentServiceGrpcTransport, "grpc", "false"),
+    (ContentServiceAsyncClient, transports.ContentServiceGrpcAsyncIOTransport, "grpc_asyncio", "false"),
+])
+@mock.patch.object(ContentServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(ContentServiceClient))
+@mock.patch.object(ContentServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(ContentServiceAsyncClient))
+@mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "auto"})
+def test_content_service_client_mtls_env_auto(client_class, transport_class, transport_name, use_client_cert_env):
+    # This tests the endpoint autoswitch behavior. Endpoint is autoswitched to the default
+    # mtls endpoint, if GOOGLE_API_USE_CLIENT_CERTIFICATE is "true" and client cert exists.
+
+    # Check the case client_cert_source is provided. Whether client cert is used depends on
+    # GOOGLE_API_USE_CLIENT_CERTIFICATE value.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}):
+        options = client_options.ClientOptions(client_cert_source=client_cert_source_callback)
+        with mock.patch.object(transport_class, '__init__') as patched:
+            patched.return_value = None
+            client = client_class(client_options=options, transport=transport_name)
+
+            if use_client_cert_env == "false":
+                expected_client_cert_source = None
+                expected_host = client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE)
+            else:
+                expected_client_cert_source = client_cert_source_callback
+                expected_host = client.DEFAULT_MTLS_ENDPOINT
+
+            patched.assert_called_once_with(
+                credentials=None,
+                credentials_file=None,
+                host=expected_host,
+                scopes=None,
+                client_cert_source_for_mtls=expected_client_cert_source,
+                quota_project_id=None,
+                client_info=transports.base.DEFAULT_CLIENT_INFO,
+                always_use_jwt_access=True,
+                api_audience=None,
+            )
+
+    # Check the case ADC client cert is provided. Whether client cert is used depends on
+    # GOOGLE_API_USE_CLIENT_CERTIFICATE value.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}):
+        with mock.patch.object(transport_class, '__init__') as patched:
+            with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True):
+                with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=client_cert_source_callback):
+                    if use_client_cert_env == "false":
+                        expected_host = client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE)
+                        expected_client_cert_source = None
+                    else:
+                        expected_host = client.DEFAULT_MTLS_ENDPOINT
+                        expected_client_cert_source = client_cert_source_callback
+
+                    patched.return_value = None
+                    client = client_class(transport=transport_name)
+                    patched.assert_called_once_with(
+                        credentials=None,
+                        credentials_file=None,
+                        host=expected_host,
+                        scopes=None,
+                        client_cert_source_for_mtls=expected_client_cert_source,
+                        quota_project_id=None,
+                        client_info=transports.base.DEFAULT_CLIENT_INFO,
+                        always_use_jwt_access=True,
+                        api_audience=None,
+                    )
+
+    # Check the case client_cert_source and ADC client cert are not provided.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}):
+        with mock.patch.object(transport_class, '__init__') as patched:
+            with mock.patch("google.auth.transport.mtls.has_default_client_cert_source", return_value=False):
+                patched.return_value = None
+                client = client_class(transport=transport_name)
+                patched.assert_called_once_with(
+                    credentials=None,
+                    credentials_file=None,
+                    host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
+                    scopes=None,
+                    client_cert_source_for_mtls=None,
+                    quota_project_id=None,
+                    client_info=transports.base.DEFAULT_CLIENT_INFO,
+                    always_use_jwt_access=True,
+                    api_audience=None,
+                )
+
+
+@pytest.mark.parametrize("client_class", [
+    ContentServiceClient, ContentServiceAsyncClient
+])
+@mock.patch.object(ContentServiceClient, "DEFAULT_ENDPOINT", modify_default_endpoint(ContentServiceClient))
+@mock.patch.object(ContentServiceAsyncClient, "DEFAULT_ENDPOINT", modify_default_endpoint(ContentServiceAsyncClient))
+def test_content_service_client_get_mtls_endpoint_and_cert_source(client_class):
+    mock_client_cert_source = mock.Mock()
+
+    # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "true".
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
+        mock_api_endpoint = "foo"
+        options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint)
+        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(options)
+        assert api_endpoint == mock_api_endpoint
+        assert cert_source == mock_client_cert_source
+
+    # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "false".
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "false"}):
+        mock_client_cert_source = mock.Mock()
+        mock_api_endpoint = "foo"
+        options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint)
+        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(options)
+        assert api_endpoint == mock_api_endpoint
+        assert cert_source is None
+
+    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "never".
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
+        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
+        assert api_endpoint == client_class.DEFAULT_ENDPOINT
+        assert cert_source is None
+
+    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "always".
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
+        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
+        assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT
+        assert cert_source is None
+
+    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert doesn't exist.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
+        with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=False):
+            api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
+            assert api_endpoint == client_class.DEFAULT_ENDPOINT
+            assert cert_source is None
+
+    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert exists.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
+        with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True):
+            with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=mock_client_cert_source):
+                api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
+                assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT
+                assert cert_source == mock_client_cert_source
+
+    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT has
+    # unsupported value.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}):
+        with pytest.raises(MutualTLSChannelError) as excinfo:
+            client_class.get_mtls_endpoint_and_cert_source()
+
+        assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`"
+
+    # Check the case GOOGLE_API_USE_CLIENT_CERTIFICATE has unsupported value.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}):
+        with pytest.raises(ValueError) as excinfo:
+            client_class.get_mtls_endpoint_and_cert_source()
+
+        assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`"
+
+@pytest.mark.parametrize("client_class", [
+    ContentServiceClient, ContentServiceAsyncClient
+])
+@mock.patch.object(ContentServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(ContentServiceClient))
+@mock.patch.object(ContentServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(ContentServiceAsyncClient))
+def test_content_service_client_client_api_endpoint(client_class):
+    mock_client_cert_source = client_cert_source_callback
+    api_override = "foo.com"
+    default_universe = ContentServiceClient._DEFAULT_UNIVERSE
+    default_endpoint = ContentServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=default_universe)
+    mock_universe = "bar.com"
+    mock_endpoint = ContentServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=mock_universe)
+
+    # If ClientOptions.api_endpoint is set and GOOGLE_API_USE_CLIENT_CERTIFICATE="true",
+    # use ClientOptions.api_endpoint as the api endpoint regardless.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
+        with mock.patch("google.auth.transport.requests.AuthorizedSession.configure_mtls_channel"):
+            options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=api_override)
+            client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials())
+            assert client.api_endpoint == api_override
+
+    # If ClientOptions.api_endpoint is not set and GOOGLE_API_USE_MTLS_ENDPOINT="never",
+    # use the _DEFAULT_ENDPOINT_TEMPLATE populated with GDU as the api endpoint.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
+        client = client_class(credentials=ga_credentials.AnonymousCredentials())
+        assert client.api_endpoint == default_endpoint
+
+    # If ClientOptions.api_endpoint is not set and GOOGLE_API_USE_MTLS_ENDPOINT="always",
+    # use the DEFAULT_MTLS_ENDPOINT as the api endpoint.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
+        client = client_class(credentials=ga_credentials.AnonymousCredentials())
+        assert client.api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT
+
+    # If ClientOptions.api_endpoint is not set, GOOGLE_API_USE_MTLS_ENDPOINT="auto" (default),
+    # GOOGLE_API_USE_CLIENT_CERTIFICATE="false" (default), default cert source doesn't exist,
+    # and ClientOptions.universe_domain="bar.com",
+    # use the _DEFAULT_ENDPOINT_TEMPLATE populated with universe domain as the api endpoint.
+    options = client_options.ClientOptions()
+    universe_exists = hasattr(options, "universe_domain")
+    if universe_exists:
+        options = client_options.ClientOptions(universe_domain=mock_universe)
+        client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials())
+    else:
+        client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials())
+    assert client.api_endpoint == (mock_endpoint if universe_exists else default_endpoint)
+    assert client.universe_domain == (mock_universe if universe_exists else default_universe)
+
+    # If ClientOptions does not have a universe domain attribute and GOOGLE_API_USE_MTLS_ENDPOINT="never",
+    # use the _DEFAULT_ENDPOINT_TEMPLATE populated with GDU as the api endpoint.
+    options = client_options.ClientOptions()
+    if hasattr(options, "universe_domain"):
+        delattr(options, "universe_domain")
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
+        client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials())
+        assert client.api_endpoint == default_endpoint
+
+
+@pytest.mark.parametrize("client_class,transport_class,transport_name", [
+    (ContentServiceClient, transports.ContentServiceGrpcTransport, "grpc"),
+    (ContentServiceAsyncClient, transports.ContentServiceGrpcAsyncIOTransport, "grpc_asyncio"),
+])
+def test_content_service_client_client_options_scopes(client_class, transport_class, transport_name):
+    # Check the case scopes are provided.
+    options = client_options.ClientOptions(
+        scopes=["1", "2"],
+    )
+    with mock.patch.object(transport_class, '__init__') as patched:
+        patched.return_value = None
+        client = client_class(client_options=options, transport=transport_name)
+        patched.assert_called_once_with(
+            credentials=None,
+            credentials_file=None,
+            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
+            scopes=["1", "2"],
+            client_cert_source_for_mtls=None,
+            quota_project_id=None,
+            client_info=transports.base.DEFAULT_CLIENT_INFO,
+            always_use_jwt_access=True,
+            api_audience=None,
+        )
+
+@pytest.mark.parametrize("client_class,transport_class,transport_name,grpc_helpers", [
+    (ContentServiceClient, transports.ContentServiceGrpcTransport, "grpc", grpc_helpers),
+    (ContentServiceAsyncClient, transports.ContentServiceGrpcAsyncIOTransport, "grpc_asyncio", grpc_helpers_async),
+])
+def test_content_service_client_client_options_credentials_file(client_class, transport_class, transport_name, grpc_helpers):
+    # Check the case credentials file is provided.
+    options = client_options.ClientOptions(
+        credentials_file="credentials.json"
+    )
+
+    with mock.patch.object(transport_class, '__init__') as patched:
+        patched.return_value = None
+        client = client_class(client_options=options, transport=transport_name)
+        patched.assert_called_once_with(
+            credentials=None,
+            credentials_file="credentials.json",
+            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
+            scopes=None,
+            client_cert_source_for_mtls=None,
+            quota_project_id=None,
+            client_info=transports.base.DEFAULT_CLIENT_INFO,
+            always_use_jwt_access=True,
+            api_audience=None,
+        )
+
+def test_content_service_client_client_options_from_dict():
+    with mock.patch('google.cloud.dataplex_v1.services.content_service.transports.ContentServiceGrpcTransport.__init__') as grpc_transport:
+        grpc_transport.return_value = None
+        client = ContentServiceClient(
+            client_options={'api_endpoint': 'squid.clam.whelk'}
+        )
+        grpc_transport.assert_called_once_with(
+            credentials=None,
+            credentials_file=None,
+            host="squid.clam.whelk",
+            scopes=None,
+            client_cert_source_for_mtls=None,
+            quota_project_id=None,
+            client_info=transports.base.DEFAULT_CLIENT_INFO,
+            always_use_jwt_access=True,
+            api_audience=None,
+        )
+
+
+@pytest.mark.parametrize("client_class,transport_class,transport_name,grpc_helpers", [
+    (ContentServiceClient, transports.ContentServiceGrpcTransport, "grpc", grpc_helpers),
+    (ContentServiceAsyncClient, transports.ContentServiceGrpcAsyncIOTransport, "grpc_asyncio", grpc_helpers_async),
+])
+def test_content_service_client_create_channel_credentials_file(client_class, transport_class, transport_name, grpc_helpers):
+    # Check the case credentials file is provided.
+    options = client_options.ClientOptions(
+        credentials_file="credentials.json"
+    )
+
+    with mock.patch.object(transport_class, '__init__') as patched:
+        patched.return_value = None
+        client = client_class(client_options=options, transport=transport_name)
+        patched.assert_called_once_with(
+            credentials=None,
+            credentials_file="credentials.json",
+            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
+            scopes=None,
+            client_cert_source_for_mtls=None,
+            quota_project_id=None,
+            client_info=transports.base.DEFAULT_CLIENT_INFO,
+            always_use_jwt_access=True,
+            api_audience=None,
+        )
+
+    # test that the credentials from file are saved and used as the credentials.
+    with mock.patch.object(
+        google.auth, "load_credentials_from_file", autospec=True
+    ) as load_creds, mock.patch.object(
+        google.auth, "default", autospec=True
+    ) as adc, mock.patch.object(
+        grpc_helpers, "create_channel"
+    ) as create_channel:
+        creds = ga_credentials.AnonymousCredentials()
+        file_creds = ga_credentials.AnonymousCredentials()
+        load_creds.return_value = (file_creds, None)
+        adc.return_value = (creds, None)
+        client = client_class(client_options=options, transport=transport_name)
+        create_channel.assert_called_with(
+            "dataplex.googleapis.com:443",
+            credentials=file_creds,
+            credentials_file=None,
+            quota_project_id=None,
+            default_scopes=(
+                'https://www.googleapis.com/auth/cloud-platform',
+),
+            scopes=None,
+            default_host="dataplex.googleapis.com",
+            ssl_credentials=None,
+            options=[
+                ("grpc.max_send_message_length", -1),
+                ("grpc.max_receive_message_length", -1),
+            ],
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  gcd_content.CreateContentRequest,
+  dict,
+])
+def test_create_content(request_type, transport: str = 'grpc'):
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_content),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = analyze.Content(
+            name='name_value',
+            uid='uid_value',
+            path='path_value',
+            description='description_value',
+            data_text='data_text_value',
+        )
+        response = client.create_content(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = gcd_content.CreateContentRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, analyze.Content)
+    assert response.name == 'name_value'
+    assert response.uid == 'uid_value'
+    assert response.path == 'path_value'
+    assert response.description == 'description_value'
+
+
+def test_create_content_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = gcd_content.CreateContentRequest(
+        parent='parent_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_content),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.create_content(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == gcd_content.CreateContentRequest(
+            parent='parent_value',
+        )
+
+def test_create_content_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = ContentServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.create_content in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.create_content] = mock_rpc
+        request = {}
+        client.create_content(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.create_content(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_create_content_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = ContentServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.create_content in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.create_content] = mock_rpc
+
+        request = {}
+        await client.create_content(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.create_content(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_create_content_async(transport: str = 'grpc_asyncio', request_type=gcd_content.CreateContentRequest):
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_content),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(analyze.Content(
+            name='name_value',
+            uid='uid_value',
+            path='path_value',
+            description='description_value',
+        ))
+        response = await client.create_content(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = gcd_content.CreateContentRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, analyze.Content)
+    assert response.name == 'name_value'
+    assert response.uid == 'uid_value'
+    assert response.path == 'path_value'
+    assert response.description == 'description_value'
+
+
+@pytest.mark.asyncio
+async def test_create_content_async_from_dict():
+    await test_create_content_async(request_type=dict)
+
+def test_create_content_field_headers():
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = gcd_content.CreateContentRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_content),
+            '__call__') as call:
+        call.return_value = analyze.Content()
+        client.create_content(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_create_content_field_headers_async():
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = gcd_content.CreateContentRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_content),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(analyze.Content())
+        await client.create_content(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+def test_create_content_flattened():
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_content),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = analyze.Content()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.create_content(
+            parent='parent_value',
+            content=analyze.Content(name='name_value'),
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+        arg = args[0].content
+        mock_val = analyze.Content(name='name_value')
+        assert arg == mock_val
+
+
+def test_create_content_flattened_error():
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.create_content(
+            gcd_content.CreateContentRequest(),
+            parent='parent_value',
+            content=analyze.Content(name='name_value'),
+        )
+
+@pytest.mark.asyncio
+async def test_create_content_flattened_async():
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_content),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = analyze.Content()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(analyze.Content())
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.create_content(
+            parent='parent_value',
+            content=analyze.Content(name='name_value'),
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+        arg = args[0].content
+        mock_val = analyze.Content(name='name_value')
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_create_content_flattened_error_async():
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.create_content(
+            gcd_content.CreateContentRequest(),
+            parent='parent_value',
+            content=analyze.Content(name='name_value'),
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  gcd_content.UpdateContentRequest,
+  dict,
+])
+def test_update_content(request_type, transport: str = 'grpc'):
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_content),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = analyze.Content(
+            name='name_value',
+            uid='uid_value',
+            path='path_value',
+            description='description_value',
+            data_text='data_text_value',
+        )
+        response = client.update_content(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = gcd_content.UpdateContentRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, analyze.Content)
+    assert response.name == 'name_value'
+    assert response.uid == 'uid_value'
+    assert response.path == 'path_value'
+    assert response.description == 'description_value'
+
+
+def test_update_content_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = gcd_content.UpdateContentRequest(
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_content),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.update_content(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == gcd_content.UpdateContentRequest(
+        )
+
+def test_update_content_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = ContentServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.update_content in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.update_content] = mock_rpc
+        request = {}
+        client.update_content(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.update_content(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_update_content_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = ContentServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.update_content in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.update_content] = mock_rpc
+
+        request = {}
+        await client.update_content(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.update_content(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_update_content_async(transport: str = 'grpc_asyncio', request_type=gcd_content.UpdateContentRequest):
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_content),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(analyze.Content(
+            name='name_value',
+            uid='uid_value',
+            path='path_value',
+            description='description_value',
+        ))
+        response = await client.update_content(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = gcd_content.UpdateContentRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, analyze.Content)
+    assert response.name == 'name_value'
+    assert response.uid == 'uid_value'
+    assert response.path == 'path_value'
+    assert response.description == 'description_value'
+
+
+@pytest.mark.asyncio
+async def test_update_content_async_from_dict():
+    await test_update_content_async(request_type=dict)
+
+def test_update_content_field_headers():
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = gcd_content.UpdateContentRequest()
+
+    request.content.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_content),
+            '__call__') as call:
+        call.return_value = analyze.Content()
+        client.update_content(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'content.name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_update_content_field_headers_async():
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = gcd_content.UpdateContentRequest()
+
+    request.content.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_content),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(analyze.Content())
+        await client.update_content(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'content.name=name_value',
+    ) in kw['metadata']
+
+
+def test_update_content_flattened():
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_content),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = analyze.Content()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.update_content(
+            content=analyze.Content(name='name_value'),
+            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].content
+        mock_val = analyze.Content(name='name_value')
+        assert arg == mock_val
+        arg = args[0].update_mask
+        mock_val = field_mask_pb2.FieldMask(paths=['paths_value'])
+        assert arg == mock_val
+
+
+def test_update_content_flattened_error():
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.update_content(
+            gcd_content.UpdateContentRequest(),
+            content=analyze.Content(name='name_value'),
+            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
+        )
+
+@pytest.mark.asyncio
+async def test_update_content_flattened_async():
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_content),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = analyze.Content()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(analyze.Content())
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.update_content(
+            content=analyze.Content(name='name_value'),
+            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].content
+        mock_val = analyze.Content(name='name_value')
+        assert arg == mock_val
+        arg = args[0].update_mask
+        mock_val = field_mask_pb2.FieldMask(paths=['paths_value'])
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_update_content_flattened_error_async():
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.update_content(
+            gcd_content.UpdateContentRequest(),
+            content=analyze.Content(name='name_value'),
+            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  content.DeleteContentRequest,
+  dict,
+])
+def test_delete_content(request_type, transport: str = 'grpc'):
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_content),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = None
+        response = client.delete_content(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = content.DeleteContentRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert response is None
+
+
+def test_delete_content_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = content.DeleteContentRequest(
+        name='name_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_content),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.delete_content(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == content.DeleteContentRequest(
+            name='name_value',
+        )
+
+def test_delete_content_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = ContentServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.delete_content in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.delete_content] = mock_rpc
+        request = {}
+        client.delete_content(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.delete_content(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_delete_content_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = ContentServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.delete_content in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.delete_content] = mock_rpc
+
+        request = {}
+        await client.delete_content(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.delete_content(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_delete_content_async(transport: str = 'grpc_asyncio', request_type=content.DeleteContentRequest):
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_content),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
+        response = await client.delete_content(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = content.DeleteContentRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert response is None
+
+
+@pytest.mark.asyncio
+async def test_delete_content_async_from_dict():
+    await test_delete_content_async(request_type=dict)
+
+def test_delete_content_field_headers():
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = content.DeleteContentRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_content),
+            '__call__') as call:
+        call.return_value = None
+        client.delete_content(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_delete_content_field_headers_async():
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = content.DeleteContentRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_content),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
+        await client.delete_content(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+def test_delete_content_flattened():
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_content),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = None
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.delete_content(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+
+def test_delete_content_flattened_error():
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.delete_content(
+            content.DeleteContentRequest(),
+            name='name_value',
+        )
+
+@pytest.mark.asyncio
+async def test_delete_content_flattened_async():
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_content),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = None
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.delete_content(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_delete_content_flattened_error_async():
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.delete_content(
+            content.DeleteContentRequest(),
+            name='name_value',
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  content.GetContentRequest,
+  dict,
+])
+def test_get_content(request_type, transport: str = 'grpc'):
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_content),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = analyze.Content(
+            name='name_value',
+            uid='uid_value',
+            path='path_value',
+            description='description_value',
+            data_text='data_text_value',
+        )
+        response = client.get_content(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = content.GetContentRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, analyze.Content)
+    assert response.name == 'name_value'
+    assert response.uid == 'uid_value'
+    assert response.path == 'path_value'
+    assert response.description == 'description_value'
+
+
+def test_get_content_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = content.GetContentRequest(
+        name='name_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_content),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.get_content(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == content.GetContentRequest(
+            name='name_value',
+        )
+
+def test_get_content_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = ContentServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.get_content in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.get_content] = mock_rpc
+        request = {}
+        client.get_content(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.get_content(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_get_content_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = ContentServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.get_content in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.get_content] = mock_rpc
+
+        request = {}
+        await client.get_content(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.get_content(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_get_content_async(transport: str = 'grpc_asyncio', request_type=content.GetContentRequest):
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_content),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(analyze.Content(
+            name='name_value',
+            uid='uid_value',
+            path='path_value',
+            description='description_value',
+        ))
+        response = await client.get_content(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = content.GetContentRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, analyze.Content)
+    assert response.name == 'name_value'
+    assert response.uid == 'uid_value'
+    assert response.path == 'path_value'
+    assert response.description == 'description_value'
+
+
+@pytest.mark.asyncio
+async def test_get_content_async_from_dict():
+    await test_get_content_async(request_type=dict)
+
+def test_get_content_field_headers():
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = content.GetContentRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_content),
+            '__call__') as call:
+        call.return_value = analyze.Content()
+        client.get_content(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_get_content_field_headers_async():
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = content.GetContentRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_content),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(analyze.Content())
+        await client.get_content(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+def test_get_content_flattened():
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_content),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = analyze.Content()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.get_content(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+
+def test_get_content_flattened_error():
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.get_content(
+            content.GetContentRequest(),
+            name='name_value',
+        )
+
+@pytest.mark.asyncio
+async def test_get_content_flattened_async():
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_content),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = analyze.Content()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(analyze.Content())
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.get_content(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_get_content_flattened_error_async():
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.get_content(
+            content.GetContentRequest(),
+            name='name_value',
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  iam_policy_pb2.GetIamPolicyRequest,
+  dict,
+])
+def test_get_iam_policy(request_type, transport: str = 'grpc'):
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_iam_policy),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = policy_pb2.Policy(
+            version=774,
+            etag=b'etag_blob',
+        )
+        response = client.get_iam_policy(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = iam_policy_pb2.GetIamPolicyRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, policy_pb2.Policy)
+    assert response.version == 774
+    assert response.etag == b'etag_blob'
+
+
+def test_get_iam_policy_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = iam_policy_pb2.GetIamPolicyRequest(
+        resource='resource_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_iam_policy),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.get_iam_policy(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == iam_policy_pb2.GetIamPolicyRequest(
+            resource='resource_value',
+        )
+
+def test_get_iam_policy_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = ContentServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.get_iam_policy in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.get_iam_policy] = mock_rpc
+        request = {}
+        client.get_iam_policy(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.get_iam_policy(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_get_iam_policy_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = ContentServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.get_iam_policy in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.get_iam_policy] = mock_rpc
+
+        request = {}
+        await client.get_iam_policy(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.get_iam_policy(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_get_iam_policy_async(transport: str = 'grpc_asyncio', request_type=iam_policy_pb2.GetIamPolicyRequest):
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_iam_policy),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(policy_pb2.Policy(
+            version=774,
+            etag=b'etag_blob',
+        ))
+        response = await client.get_iam_policy(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = iam_policy_pb2.GetIamPolicyRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, policy_pb2.Policy)
+    assert response.version == 774
+    assert response.etag == b'etag_blob'
+
+
+@pytest.mark.asyncio
+async def test_get_iam_policy_async_from_dict():
+    await test_get_iam_policy_async(request_type=dict)
+
+def test_get_iam_policy_field_headers():
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = iam_policy_pb2.GetIamPolicyRequest()
+
+    request.resource = 'resource_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_iam_policy),
+            '__call__') as call:
+        call.return_value = policy_pb2.Policy()
+        client.get_iam_policy(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'resource=resource_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_get_iam_policy_field_headers_async():
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = iam_policy_pb2.GetIamPolicyRequest()
+
+    request.resource = 'resource_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_iam_policy),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(policy_pb2.Policy())
+        await client.get_iam_policy(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'resource=resource_value',
+    ) in kw['metadata']
+
+def test_get_iam_policy_from_dict_foreign():
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_iam_policy),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = policy_pb2.Policy()
+        response = client.get_iam_policy(request={
+            'resource': 'resource_value',
+            'options': options_pb2.GetPolicyOptions(requested_policy_version=2598),
+            }
+        )
+        call.assert_called()
+
+
+def test_get_iam_policy_flattened():
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_iam_policy),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = policy_pb2.Policy()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.get_iam_policy(
+            resource='resource_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].resource
+        mock_val = 'resource_value'
+        assert arg == mock_val
+
+
+def test_get_iam_policy_flattened_error():
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.get_iam_policy(
+            iam_policy_pb2.GetIamPolicyRequest(),
+            resource='resource_value',
+        )
+
+@pytest.mark.asyncio
+async def test_get_iam_policy_flattened_async():
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_iam_policy),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = policy_pb2.Policy()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(policy_pb2.Policy())
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.get_iam_policy(
+            resource='resource_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].resource
+        mock_val = 'resource_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_get_iam_policy_flattened_error_async():
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.get_iam_policy(
+            iam_policy_pb2.GetIamPolicyRequest(),
+            resource='resource_value',
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  iam_policy_pb2.SetIamPolicyRequest,
+  dict,
+])
+def test_set_iam_policy(request_type, transport: str = 'grpc'):
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.set_iam_policy),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = policy_pb2.Policy(
+            version=774,
+            etag=b'etag_blob',
+        )
+        response = client.set_iam_policy(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = iam_policy_pb2.SetIamPolicyRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, policy_pb2.Policy)
+    assert response.version == 774
+    assert response.etag == b'etag_blob'
+
+
+def test_set_iam_policy_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = iam_policy_pb2.SetIamPolicyRequest(
+        resource='resource_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.set_iam_policy),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.set_iam_policy(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == iam_policy_pb2.SetIamPolicyRequest(
+            resource='resource_value',
+        )
+
+def test_set_iam_policy_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = ContentServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.set_iam_policy in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.set_iam_policy] = mock_rpc
+        request = {}
+        client.set_iam_policy(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.set_iam_policy(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_set_iam_policy_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = ContentServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.set_iam_policy in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.set_iam_policy] = mock_rpc
+
+        request = {}
+        await client.set_iam_policy(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.set_iam_policy(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_set_iam_policy_async(transport: str = 'grpc_asyncio', request_type=iam_policy_pb2.SetIamPolicyRequest):
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.set_iam_policy),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(policy_pb2.Policy(
+            version=774,
+            etag=b'etag_blob',
+        ))
+        response = await client.set_iam_policy(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = iam_policy_pb2.SetIamPolicyRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, policy_pb2.Policy)
+    assert response.version == 774
+    assert response.etag == b'etag_blob'
+
+
+@pytest.mark.asyncio
+async def test_set_iam_policy_async_from_dict():
+    await test_set_iam_policy_async(request_type=dict)
+
+def test_set_iam_policy_field_headers():
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = iam_policy_pb2.SetIamPolicyRequest()
+
+    request.resource = 'resource_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.set_iam_policy),
+            '__call__') as call:
+        call.return_value = policy_pb2.Policy()
+        client.set_iam_policy(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'resource=resource_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_set_iam_policy_field_headers_async():
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = iam_policy_pb2.SetIamPolicyRequest()
+
+    request.resource = 'resource_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.set_iam_policy),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(policy_pb2.Policy())
+        await client.set_iam_policy(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'resource=resource_value',
+    ) in kw['metadata']
+
+def test_set_iam_policy_from_dict_foreign():
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.set_iam_policy),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = policy_pb2.Policy()
+        response = client.set_iam_policy(request={
+            'resource': 'resource_value',
+            'policy': policy_pb2.Policy(version=774),
+            'update_mask': field_mask_pb2.FieldMask(paths=['paths_value']),
+            }
+        )
+        call.assert_called()
+
+
+@pytest.mark.parametrize("request_type", [
+  iam_policy_pb2.TestIamPermissionsRequest,
+  dict,
+])
+def test_test_iam_permissions(request_type, transport: str = 'grpc'):
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.test_iam_permissions),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = iam_policy_pb2.TestIamPermissionsResponse(
+            permissions=['permissions_value'],
+        )
+        response = client.test_iam_permissions(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = iam_policy_pb2.TestIamPermissionsRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, iam_policy_pb2.TestIamPermissionsResponse)
+    assert response.permissions == ['permissions_value']
+
+
+def test_test_iam_permissions_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = iam_policy_pb2.TestIamPermissionsRequest(
+        resource='resource_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.test_iam_permissions),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.test_iam_permissions(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == iam_policy_pb2.TestIamPermissionsRequest(
+            resource='resource_value',
+        )
+
+def test_test_iam_permissions_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = ContentServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.test_iam_permissions in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.test_iam_permissions] = mock_rpc
+        request = {}
+        client.test_iam_permissions(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.test_iam_permissions(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_test_iam_permissions_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = ContentServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.test_iam_permissions in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.test_iam_permissions] = mock_rpc
+
+        request = {}
+        await client.test_iam_permissions(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.test_iam_permissions(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_test_iam_permissions_async(transport: str = 'grpc_asyncio', request_type=iam_policy_pb2.TestIamPermissionsRequest):
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.test_iam_permissions),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(iam_policy_pb2.TestIamPermissionsResponse(
+            permissions=['permissions_value'],
+        ))
+        response = await client.test_iam_permissions(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = iam_policy_pb2.TestIamPermissionsRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, iam_policy_pb2.TestIamPermissionsResponse)
+    assert response.permissions == ['permissions_value']
+
+
+@pytest.mark.asyncio
+async def test_test_iam_permissions_async_from_dict():
+    await test_test_iam_permissions_async(request_type=dict)
+
+def test_test_iam_permissions_field_headers():
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = iam_policy_pb2.TestIamPermissionsRequest()
+
+    request.resource = 'resource_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.test_iam_permissions),
+            '__call__') as call:
+        call.return_value = iam_policy_pb2.TestIamPermissionsResponse()
+        client.test_iam_permissions(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'resource=resource_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_test_iam_permissions_field_headers_async():
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = iam_policy_pb2.TestIamPermissionsRequest()
+
+    request.resource = 'resource_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.test_iam_permissions),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(iam_policy_pb2.TestIamPermissionsResponse())
+        await client.test_iam_permissions(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'resource=resource_value',
+    ) in kw['metadata']
+
+def test_test_iam_permissions_from_dict_foreign():
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.test_iam_permissions),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = iam_policy_pb2.TestIamPermissionsResponse()
+        response = client.test_iam_permissions(request={
+            'resource': 'resource_value',
+            'permissions': ['permissions_value'],
+            }
+        )
+        call.assert_called()
+
+
+@pytest.mark.parametrize("request_type", [
+  content.ListContentRequest,
+  dict,
+])
+def test_list_content(request_type, transport: str = 'grpc'):
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_content),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = content.ListContentResponse(
+            next_page_token='next_page_token_value',
+        )
+        response = client.list_content(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = content.ListContentRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, pagers.ListContentPager)
+    assert response.next_page_token == 'next_page_token_value'
+
+
+def test_list_content_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = content.ListContentRequest(
+        parent='parent_value',
+        page_token='page_token_value',
+        filter='filter_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_content),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.list_content(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == content.ListContentRequest(
+            parent='parent_value',
+            page_token='page_token_value',
+            filter='filter_value',
+        )
+
+def test_list_content_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = ContentServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.list_content in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.list_content] = mock_rpc
+        request = {}
+        client.list_content(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.list_content(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_list_content_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = ContentServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.list_content in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.list_content] = mock_rpc
+
+        request = {}
+        await client.list_content(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.list_content(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_list_content_async(transport: str = 'grpc_asyncio', request_type=content.ListContentRequest):
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_content),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(content.ListContentResponse(
+            next_page_token='next_page_token_value',
+        ))
+        response = await client.list_content(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = content.ListContentRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, pagers.ListContentAsyncPager)
+    assert response.next_page_token == 'next_page_token_value'
+
+
+@pytest.mark.asyncio
+async def test_list_content_async_from_dict():
+    await test_list_content_async(request_type=dict)
+
+def test_list_content_field_headers():
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = content.ListContentRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_content),
+            '__call__') as call:
+        call.return_value = content.ListContentResponse()
+        client.list_content(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_list_content_field_headers_async():
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = content.ListContentRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_content),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(content.ListContentResponse())
+        await client.list_content(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+def test_list_content_flattened():
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_content),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = content.ListContentResponse()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.list_content(
+            parent='parent_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+
+
+def test_list_content_flattened_error():
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.list_content(
+            content.ListContentRequest(),
+            parent='parent_value',
+        )
+
+@pytest.mark.asyncio
+async def test_list_content_flattened_async():
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_content),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = content.ListContentResponse()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(content.ListContentResponse())
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.list_content(
+            parent='parent_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_list_content_flattened_error_async():
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.list_content(
+            content.ListContentRequest(),
+            parent='parent_value',
+        )
+
+
+def test_list_content_pager(transport_name: str = "grpc"):
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport_name,
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_content),
+            '__call__') as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            content.ListContentResponse(
+                content=[
+                    analyze.Content(),
+                    analyze.Content(),
+                    analyze.Content(),
+                ],
+                next_page_token='abc',
+            ),
+            content.ListContentResponse(
+                content=[],
+                next_page_token='def',
+            ),
+            content.ListContentResponse(
+                content=[
+                    analyze.Content(),
+                ],
+                next_page_token='ghi',
+            ),
+            content.ListContentResponse(
+                content=[
+                    analyze.Content(),
+                    analyze.Content(),
+                ],
+            ),
+            RuntimeError,
+        )
+
+        expected_metadata = ()
+        retry = retries.Retry()
+        timeout = 5
+        expected_metadata = tuple(expected_metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ('parent', ''),
+            )),
+        )
+        pager = client.list_content(request={}, retry=retry, timeout=timeout)
+
+        assert pager._metadata == expected_metadata
+        assert pager._retry == retry
+        assert pager._timeout == timeout
+
+        results = list(pager)
+        assert len(results) == 6
+        assert all(isinstance(i, analyze.Content)
+                   for i in results)
+def test_list_content_pages(transport_name: str = "grpc"):
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport_name,
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_content),
+            '__call__') as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            content.ListContentResponse(
+                content=[
+                    analyze.Content(),
+                    analyze.Content(),
+                    analyze.Content(),
+                ],
+                next_page_token='abc',
+            ),
+            content.ListContentResponse(
+                content=[],
+                next_page_token='def',
+            ),
+            content.ListContentResponse(
+                content=[
+                    analyze.Content(),
+                ],
+                next_page_token='ghi',
+            ),
+            content.ListContentResponse(
+                content=[
+                    analyze.Content(),
+                    analyze.Content(),
+                ],
+            ),
+            RuntimeError,
+        )
+        pages = list(client.list_content(request={}).pages)
+        for page_, token in zip(pages, ['abc','def','ghi', '']):
+            assert page_.raw_page.next_page_token == token
+
+@pytest.mark.asyncio
+async def test_list_content_async_pager():
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_content),
+            '__call__', new_callable=mock.AsyncMock) as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            content.ListContentResponse(
+                content=[
+                    analyze.Content(),
+                    analyze.Content(),
+                    analyze.Content(),
+                ],
+                next_page_token='abc',
+            ),
+            content.ListContentResponse(
+                content=[],
+                next_page_token='def',
+            ),
+            content.ListContentResponse(
+                content=[
+                    analyze.Content(),
+                ],
+                next_page_token='ghi',
+            ),
+            content.ListContentResponse(
+                content=[
+                    analyze.Content(),
+                    analyze.Content(),
+                ],
+            ),
+            RuntimeError,
+        )
+        async_pager = await client.list_content(request={},)
+        assert async_pager.next_page_token == 'abc'
+        responses = []
+        async for response in async_pager: # pragma: no branch
+            responses.append(response)
+
+        assert len(responses) == 6
+        assert all(isinstance(i, analyze.Content)
+                for i in responses)
+
+
+@pytest.mark.asyncio
+async def test_list_content_async_pages():
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_content),
+            '__call__', new_callable=mock.AsyncMock) as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            content.ListContentResponse(
+                content=[
+                    analyze.Content(),
+                    analyze.Content(),
+                    analyze.Content(),
+                ],
+                next_page_token='abc',
+            ),
+            content.ListContentResponse(
+                content=[],
+                next_page_token='def',
+            ),
+            content.ListContentResponse(
+                content=[
+                    analyze.Content(),
+                ],
+                next_page_token='ghi',
+            ),
+            content.ListContentResponse(
+                content=[
+                    analyze.Content(),
+                    analyze.Content(),
+                ],
+            ),
+            RuntimeError,
+        )
+        pages = []
+        # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch`
+        # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372
+        async for page_ in ( # pragma: no branch
+            await client.list_content(request={})
+        ).pages:
+            pages.append(page_)
+        for page_, token in zip(pages, ['abc','def','ghi', '']):
+            assert page_.raw_page.next_page_token == token
+
+
+def test_credentials_transport_error():
+    # It is an error to provide credentials and a transport instance.
+    transport = transports.ContentServiceGrpcTransport(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    with pytest.raises(ValueError):
+        client = ContentServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport=transport,
+        )
+
+    # It is an error to provide a credentials file and a transport instance.
+    transport = transports.ContentServiceGrpcTransport(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    with pytest.raises(ValueError):
+        client = ContentServiceClient(
+            client_options={"credentials_file": "credentials.json"},
+            transport=transport,
+        )
+
+    # It is an error to provide an api_key and a transport instance.
+    transport = transports.ContentServiceGrpcTransport(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    options = client_options.ClientOptions()
+    options.api_key = "api_key"
+    with pytest.raises(ValueError):
+        client = ContentServiceClient(
+            client_options=options,
+            transport=transport,
+        )
+
+    # It is an error to provide an api_key and a credential.
+    options = client_options.ClientOptions()
+    options.api_key = "api_key"
+    with pytest.raises(ValueError):
+        client = ContentServiceClient(
+            client_options=options,
+            credentials=ga_credentials.AnonymousCredentials()
+        )
+
+    # It is an error to provide scopes and a transport instance.
+    transport = transports.ContentServiceGrpcTransport(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    with pytest.raises(ValueError):
+        client = ContentServiceClient(
+            client_options={"scopes": ["1", "2"]},
+            transport=transport,
+        )
+
+
+def test_transport_instance():
+    # A client may be instantiated with a custom transport instance.
+    transport = transports.ContentServiceGrpcTransport(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    client = ContentServiceClient(transport=transport)
+    assert client.transport is transport
+
+def test_transport_get_channel():
+    # A client may be instantiated with a custom transport instance.
+    transport = transports.ContentServiceGrpcTransport(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    channel = transport.grpc_channel
+    assert channel
+
+    transport = transports.ContentServiceGrpcAsyncIOTransport(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    channel = transport.grpc_channel
+    assert channel
+
+@pytest.mark.parametrize("transport_class", [
+    transports.ContentServiceGrpcTransport,
+    transports.ContentServiceGrpcAsyncIOTransport,
+])
+def test_transport_adc(transport_class):
+    # Test default credentials are used if not provided.
+    with mock.patch.object(google.auth, 'default') as adc:
+        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
+        transport_class()
+        adc.assert_called_once()
+
+def test_transport_kind_grpc():
+    transport = ContentServiceClient.get_transport_class("grpc")(
+        credentials=ga_credentials.AnonymousCredentials()
+    )
+    assert transport.kind == "grpc"
+
+
+def test_initialize_client_w_grpc():
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc"
+    )
+    assert client is not None
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_create_content_empty_call_grpc():
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_content),
+            '__call__') as call:
+        call.return_value = analyze.Content()
+        client.create_content(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = gcd_content.CreateContentRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_update_content_empty_call_grpc():
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_content),
+            '__call__') as call:
+        call.return_value = analyze.Content()
+        client.update_content(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = gcd_content.UpdateContentRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_delete_content_empty_call_grpc():
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_content),
+            '__call__') as call:
+        call.return_value = None
+        client.delete_content(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = content.DeleteContentRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_get_content_empty_call_grpc():
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_content),
+            '__call__') as call:
+        call.return_value = analyze.Content()
+        client.get_content(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = content.GetContentRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_get_iam_policy_empty_call_grpc():
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_iam_policy),
+            '__call__') as call:
+        call.return_value = policy_pb2.Policy()
+        client.get_iam_policy(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = iam_policy_pb2.GetIamPolicyRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_set_iam_policy_empty_call_grpc():
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.set_iam_policy),
+            '__call__') as call:
+        call.return_value = policy_pb2.Policy()
+        client.set_iam_policy(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = iam_policy_pb2.SetIamPolicyRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_test_iam_permissions_empty_call_grpc():
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.test_iam_permissions),
+            '__call__') as call:
+        call.return_value = iam_policy_pb2.TestIamPermissionsResponse()
+        client.test_iam_permissions(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = iam_policy_pb2.TestIamPermissionsRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_list_content_empty_call_grpc():
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_content),
+            '__call__') as call:
+        call.return_value = content.ListContentResponse()
+        client.list_content(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = content.ListContentRequest()
+
+        assert args[0] == request_msg
+
+
+def test_transport_kind_grpc_asyncio():
+    transport = ContentServiceAsyncClient.get_transport_class("grpc_asyncio")(
+        credentials=async_anonymous_credentials()
+    )
+    assert transport.kind == "grpc_asyncio"
+
+
+def test_initialize_client_w_grpc_asyncio():
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio"
+    )
+    assert client is not None
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_create_content_empty_call_grpc_asyncio():
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_content),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(analyze.Content(
+            name='name_value',
+            uid='uid_value',
+            path='path_value',
+            description='description_value',
+        ))
+        await client.create_content(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = gcd_content.CreateContentRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_update_content_empty_call_grpc_asyncio():
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_content),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(analyze.Content(
+            name='name_value',
+            uid='uid_value',
+            path='path_value',
+            description='description_value',
+        ))
+        await client.update_content(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = gcd_content.UpdateContentRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_delete_content_empty_call_grpc_asyncio():
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_content),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
+        await client.delete_content(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = content.DeleteContentRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_get_content_empty_call_grpc_asyncio():
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_content),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(analyze.Content(
+            name='name_value',
+            uid='uid_value',
+            path='path_value',
+            description='description_value',
+        ))
+        await client.get_content(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = content.GetContentRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_get_iam_policy_empty_call_grpc_asyncio():
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_iam_policy),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(policy_pb2.Policy(
+            version=774,
+            etag=b'etag_blob',
+        ))
+        await client.get_iam_policy(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = iam_policy_pb2.GetIamPolicyRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_set_iam_policy_empty_call_grpc_asyncio():
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.set_iam_policy),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(policy_pb2.Policy(
+            version=774,
+            etag=b'etag_blob',
+        ))
+        await client.set_iam_policy(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = iam_policy_pb2.SetIamPolicyRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_test_iam_permissions_empty_call_grpc_asyncio():
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.test_iam_permissions),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(iam_policy_pb2.TestIamPermissionsResponse(
+            permissions=['permissions_value'],
+        ))
+        await client.test_iam_permissions(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = iam_policy_pb2.TestIamPermissionsRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_list_content_empty_call_grpc_asyncio():
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_content),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(content.ListContentResponse(
+            next_page_token='next_page_token_value',
+        ))
+        await client.list_content(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = content.ListContentRequest()
+
+        assert args[0] == request_msg
+
+
+def test_transport_grpc_default():
+    # A client should use the gRPC transport by default.
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    assert isinstance(
+        client.transport,
+        transports.ContentServiceGrpcTransport,
+    )
+
+def test_content_service_base_transport_error():
+    # Passing both a credentials object and credentials_file should raise an error
+    with pytest.raises(core_exceptions.DuplicateCredentialArgs):
+        transport = transports.ContentServiceTransport(
+            credentials=ga_credentials.AnonymousCredentials(),
+            credentials_file="credentials.json"
+        )
+
+
+def test_content_service_base_transport():
+    # Instantiate the base transport.
+    with mock.patch('google.cloud.dataplex_v1.services.content_service.transports.ContentServiceTransport.__init__') as Transport:
+        Transport.return_value = None
+        transport = transports.ContentServiceTransport(
+            credentials=ga_credentials.AnonymousCredentials(),
+        )
+
+    # Every method on the transport should just blindly
+    # raise NotImplementedError.
+    methods = (
+        'create_content',
+        'update_content',
+        'delete_content',
+        'get_content',
+        'get_iam_policy',
+        'set_iam_policy',
+        'test_iam_permissions',
+        'list_content',
+        'get_location',
+        'list_locations',
+        'get_operation',
+        'cancel_operation',
+        'delete_operation',
+        'list_operations',
+    )
+    for method in methods:
+        with pytest.raises(NotImplementedError):
+            getattr(transport, method)(request=object())
+
+    with pytest.raises(NotImplementedError):
+        transport.close()
+
+    # Catch all for all remaining methods and properties
+    remainder = [
+        'kind',
+    ]
+    for r in remainder:
+        with pytest.raises(NotImplementedError):
+            getattr(transport, r)()
+
+
+def test_content_service_base_transport_with_credentials_file():
+    # Instantiate the base transport with a credentials file
+    with mock.patch.object(google.auth, 'load_credentials_from_file', autospec=True) as load_creds, mock.patch('google.cloud.dataplex_v1.services.content_service.transports.ContentServiceTransport._prep_wrapped_messages') as Transport:
+        Transport.return_value = None
+        load_creds.return_value = (ga_credentials.AnonymousCredentials(), None)
+        transport = transports.ContentServiceTransport(
+            credentials_file="credentials.json",
+            quota_project_id="octopus",
+        )
+        load_creds.assert_called_once_with("credentials.json",
+            scopes=None,
+            default_scopes=(
+            'https://www.googleapis.com/auth/cloud-platform',
+),
+            quota_project_id="octopus",
+        )
+
+
+def test_content_service_base_transport_with_adc():
+    # Test the default credentials are used if credentials and credentials_file are None.
+    with mock.patch.object(google.auth, 'default', autospec=True) as adc, mock.patch('google.cloud.dataplex_v1.services.content_service.transports.ContentServiceTransport._prep_wrapped_messages') as Transport:
+        Transport.return_value = None
+        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
+        transport = transports.ContentServiceTransport()
+        adc.assert_called_once()
+
+
+def test_content_service_auth_adc():
+    # If no credentials are provided, we should use ADC credentials.
+    with mock.patch.object(google.auth, 'default', autospec=True) as adc:
+        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
+        ContentServiceClient()
+        adc.assert_called_once_with(
+            scopes=None,
+            default_scopes=(
+            'https://www.googleapis.com/auth/cloud-platform',
+),
+            quota_project_id=None,
+        )
+
+
+@pytest.mark.parametrize(
+    "transport_class",
+    [
+        transports.ContentServiceGrpcTransport,
+        transports.ContentServiceGrpcAsyncIOTransport,
+    ],
+)
+def test_content_service_transport_auth_adc(transport_class):
+    # If credentials and host are not provided, the transport class should use
+    # ADC credentials.
+    with mock.patch.object(google.auth, 'default', autospec=True) as adc:
+        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
+        transport_class(quota_project_id="octopus", scopes=["1", "2"])
+        adc.assert_called_once_with(
+            scopes=["1", "2"],
+            default_scopes=(                'https://www.googleapis.com/auth/cloud-platform',),
+            quota_project_id="octopus",
+        )
+
+
+@pytest.mark.parametrize(
+    "transport_class",
+    [
+        transports.ContentServiceGrpcTransport,
+        transports.ContentServiceGrpcAsyncIOTransport,
+    ],
+)
+def test_content_service_transport_auth_gdch_credentials(transport_class):
+    host = 'https://language.com'
+    api_audience_tests = [None, 'https://language2.com']
+    api_audience_expect = [host, 'https://language2.com']
+    for t, e in zip(api_audience_tests, api_audience_expect):
+        with mock.patch.object(google.auth, 'default', autospec=True) as adc:
+            gdch_mock = mock.MagicMock()
+            type(gdch_mock).with_gdch_audience = mock.PropertyMock(return_value=gdch_mock)
+            adc.return_value = (gdch_mock, None)
+            transport_class(host=host, api_audience=t)
+            gdch_mock.with_gdch_audience.assert_called_once_with(
+                e
+            )
+
+
+@pytest.mark.parametrize(
+    "transport_class,grpc_helpers",
+    [
+        (transports.ContentServiceGrpcTransport, grpc_helpers),
+        (transports.ContentServiceGrpcAsyncIOTransport, grpc_helpers_async)
+    ],
+)
+def test_content_service_transport_create_channel(transport_class, grpc_helpers):
+    # If credentials and host are not provided, the transport class should use
+    # ADC credentials.
+    with mock.patch.object(google.auth, "default", autospec=True) as adc, mock.patch.object(
+        grpc_helpers, "create_channel", autospec=True
+    ) as create_channel:
+        creds = ga_credentials.AnonymousCredentials()
+        adc.return_value = (creds, None)
+        transport_class(
+            quota_project_id="octopus",
+            scopes=["1", "2"]
+        )
+
+        create_channel.assert_called_with(
+            "dataplex.googleapis.com:443",
+            credentials=creds,
+            credentials_file=None,
+            quota_project_id="octopus",
+            default_scopes=(
+                'https://www.googleapis.com/auth/cloud-platform',
+),
+            scopes=["1", "2"],
+            default_host="dataplex.googleapis.com",
+            ssl_credentials=None,
+            options=[
+                ("grpc.max_send_message_length", -1),
+                ("grpc.max_receive_message_length", -1),
+            ],
+        )
+
+
+@pytest.mark.parametrize("transport_class", [transports.ContentServiceGrpcTransport, transports.ContentServiceGrpcAsyncIOTransport])
+def test_content_service_grpc_transport_client_cert_source_for_mtls(
+    transport_class
+):
+    cred = ga_credentials.AnonymousCredentials()
+
+    # Check ssl_channel_credentials is used if provided.
+    with mock.patch.object(transport_class, "create_channel") as mock_create_channel:
+        mock_ssl_channel_creds = mock.Mock()
+        transport_class(
+            host="squid.clam.whelk",
+            credentials=cred,
+            ssl_channel_credentials=mock_ssl_channel_creds
+        )
+        mock_create_channel.assert_called_once_with(
+            "squid.clam.whelk:443",
+            credentials=cred,
+            credentials_file=None,
+            scopes=None,
+            ssl_credentials=mock_ssl_channel_creds,
+            quota_project_id=None,
+            options=[
+                ("grpc.max_send_message_length", -1),
+                ("grpc.max_receive_message_length", -1),
+            ],
+        )
+
+    # Check if ssl_channel_credentials is not provided, then client_cert_source_for_mtls
+    # is used.
+    with mock.patch.object(transport_class, "create_channel", return_value=mock.Mock()):
+        with mock.patch("grpc.ssl_channel_credentials") as mock_ssl_cred:
+            transport_class(
+                credentials=cred,
+                client_cert_source_for_mtls=client_cert_source_callback
+            )
+            expected_cert, expected_key = client_cert_source_callback()
+            mock_ssl_cred.assert_called_once_with(
+                certificate_chain=expected_cert,
+                private_key=expected_key
+            )
+
+
+@pytest.mark.parametrize("transport_name", [
+    "grpc",
+    "grpc_asyncio",
+])
+def test_content_service_host_no_port(transport_name):
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        client_options=client_options.ClientOptions(api_endpoint='dataplex.googleapis.com'),
+         transport=transport_name,
+    )
+    assert client.transport._host == (
+        'dataplex.googleapis.com:443'
+    )
+
+@pytest.mark.parametrize("transport_name", [
+    "grpc",
+    "grpc_asyncio",
+])
+def test_content_service_host_with_port(transport_name):
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        client_options=client_options.ClientOptions(api_endpoint='dataplex.googleapis.com:8000'),
+        transport=transport_name,
+    )
+    assert client.transport._host == (
+        'dataplex.googleapis.com:8000'
+    )
+
+def test_content_service_grpc_transport_channel():
+    channel = grpc.secure_channel('http://localhost/', grpc.local_channel_credentials())
+
+    # Check that channel is used if provided.
+    transport = transports.ContentServiceGrpcTransport(
+        host="squid.clam.whelk",
+        channel=channel,
+    )
+    assert transport.grpc_channel == channel
+    assert transport._host == "squid.clam.whelk:443"
+    assert transport._ssl_channel_credentials == None
+
+
+def test_content_service_grpc_asyncio_transport_channel():
+    channel = aio.secure_channel('http://localhost/', grpc.local_channel_credentials())
+
+    # Check that channel is used if provided.
+    transport = transports.ContentServiceGrpcAsyncIOTransport(
+        host="squid.clam.whelk",
+        channel=channel,
+    )
+    assert transport.grpc_channel == channel
+    assert transport._host == "squid.clam.whelk:443"
+    assert transport._ssl_channel_credentials == None
+
+
+# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are
+# removed from grpc/grpc_asyncio transport constructor.
+@pytest.mark.parametrize("transport_class", [transports.ContentServiceGrpcTransport, transports.ContentServiceGrpcAsyncIOTransport])
+def test_content_service_transport_channel_mtls_with_client_cert_source(
+    transport_class
+):
+    with mock.patch("grpc.ssl_channel_credentials", autospec=True) as grpc_ssl_channel_cred:
+        with mock.patch.object(transport_class, "create_channel") as grpc_create_channel:
+            mock_ssl_cred = mock.Mock()
+            grpc_ssl_channel_cred.return_value = mock_ssl_cred
+
+            mock_grpc_channel = mock.Mock()
+            grpc_create_channel.return_value = mock_grpc_channel
+
+            cred = ga_credentials.AnonymousCredentials()
+            with pytest.warns(DeprecationWarning):
+                with mock.patch.object(google.auth, 'default') as adc:
+                    adc.return_value = (cred, None)
+                    transport = transport_class(
+                        host="squid.clam.whelk",
+                        api_mtls_endpoint="mtls.squid.clam.whelk",
+                        client_cert_source=client_cert_source_callback,
+                    )
+                    adc.assert_called_once()
+
+            grpc_ssl_channel_cred.assert_called_once_with(
+                certificate_chain=b"cert bytes", private_key=b"key bytes"
+            )
+            grpc_create_channel.assert_called_once_with(
+                "mtls.squid.clam.whelk:443",
+                credentials=cred,
+                credentials_file=None,
+                scopes=None,
+                ssl_credentials=mock_ssl_cred,
+                quota_project_id=None,
+                options=[
+                    ("grpc.max_send_message_length", -1),
+                    ("grpc.max_receive_message_length", -1),
+                ],
+            )
+            assert transport.grpc_channel == mock_grpc_channel
+            assert transport._ssl_channel_credentials == mock_ssl_cred
+
+
+# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are
+# removed from grpc/grpc_asyncio transport constructor.
+@pytest.mark.parametrize("transport_class", [transports.ContentServiceGrpcTransport, transports.ContentServiceGrpcAsyncIOTransport])
+def test_content_service_transport_channel_mtls_with_adc(
+    transport_class
+):
+    mock_ssl_cred = mock.Mock()
+    with mock.patch.multiple(
+        "google.auth.transport.grpc.SslCredentials",
+        __init__=mock.Mock(return_value=None),
+        ssl_credentials=mock.PropertyMock(return_value=mock_ssl_cred),
+    ):
+        with mock.patch.object(transport_class, "create_channel") as grpc_create_channel:
+            mock_grpc_channel = mock.Mock()
+            grpc_create_channel.return_value = mock_grpc_channel
+            mock_cred = mock.Mock()
+
+            with pytest.warns(DeprecationWarning):
+                transport = transport_class(
+                    host="squid.clam.whelk",
+                    credentials=mock_cred,
+                    api_mtls_endpoint="mtls.squid.clam.whelk",
+                    client_cert_source=None,
+                )
+
+            grpc_create_channel.assert_called_once_with(
+                "mtls.squid.clam.whelk:443",
+                credentials=mock_cred,
+                credentials_file=None,
+                scopes=None,
+                ssl_credentials=mock_ssl_cred,
+                quota_project_id=None,
+                options=[
+                    ("grpc.max_send_message_length", -1),
+                    ("grpc.max_receive_message_length", -1),
+                ],
+            )
+            assert transport.grpc_channel == mock_grpc_channel
+
+
+def test_content_path():
+    project = "squid"
+    location = "clam"
+    lake = "whelk"
+    content = "octopus"
+    expected = "projects/{project}/locations/{location}/lakes/{lake}/content/{content}".format(project=project, location=location, lake=lake, content=content, )
+    actual = ContentServiceClient.content_path(project, location, lake, content)
+    assert expected == actual
+
+
+def test_parse_content_path():
+    expected = {
+        "project": "oyster",
+        "location": "nudibranch",
+        "lake": "cuttlefish",
+        "content": "mussel",
+    }
+    path = ContentServiceClient.content_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = ContentServiceClient.parse_content_path(path)
+    assert expected == actual
+
+def test_lake_path():
+    project = "winkle"
+    location = "nautilus"
+    lake = "scallop"
+    expected = "projects/{project}/locations/{location}/lakes/{lake}".format(project=project, location=location, lake=lake, )
+    actual = ContentServiceClient.lake_path(project, location, lake)
+    assert expected == actual
+
+
+def test_parse_lake_path():
+    expected = {
+        "project": "abalone",
+        "location": "squid",
+        "lake": "clam",
+    }
+    path = ContentServiceClient.lake_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = ContentServiceClient.parse_lake_path(path)
+    assert expected == actual
+
+def test_common_billing_account_path():
+    billing_account = "whelk"
+    expected = "billingAccounts/{billing_account}".format(billing_account=billing_account, )
+    actual = ContentServiceClient.common_billing_account_path(billing_account)
+    assert expected == actual
+
+
+def test_parse_common_billing_account_path():
+    expected = {
+        "billing_account": "octopus",
+    }
+    path = ContentServiceClient.common_billing_account_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = ContentServiceClient.parse_common_billing_account_path(path)
+    assert expected == actual
+
+def test_common_folder_path():
+    folder = "oyster"
+    expected = "folders/{folder}".format(folder=folder, )
+    actual = ContentServiceClient.common_folder_path(folder)
+    assert expected == actual
+
+
+def test_parse_common_folder_path():
+    expected = {
+        "folder": "nudibranch",
+    }
+    path = ContentServiceClient.common_folder_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = ContentServiceClient.parse_common_folder_path(path)
+    assert expected == actual
+
+def test_common_organization_path():
+    organization = "cuttlefish"
+    expected = "organizations/{organization}".format(organization=organization, )
+    actual = ContentServiceClient.common_organization_path(organization)
+    assert expected == actual
+
+
+def test_parse_common_organization_path():
+    expected = {
+        "organization": "mussel",
+    }
+    path = ContentServiceClient.common_organization_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = ContentServiceClient.parse_common_organization_path(path)
+    assert expected == actual
+
+def test_common_project_path():
+    project = "winkle"
+    expected = "projects/{project}".format(project=project, )
+    actual = ContentServiceClient.common_project_path(project)
+    assert expected == actual
+
+
+def test_parse_common_project_path():
+    expected = {
+        "project": "nautilus",
+    }
+    path = ContentServiceClient.common_project_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = ContentServiceClient.parse_common_project_path(path)
+    assert expected == actual
+
+def test_common_location_path():
+    project = "scallop"
+    location = "abalone"
+    expected = "projects/{project}/locations/{location}".format(project=project, location=location, )
+    actual = ContentServiceClient.common_location_path(project, location)
+    assert expected == actual
+
+
+def test_parse_common_location_path():
+    expected = {
+        "project": "squid",
+        "location": "clam",
+    }
+    path = ContentServiceClient.common_location_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = ContentServiceClient.parse_common_location_path(path)
+    assert expected == actual
+
+
+def test_client_with_default_client_info():
+    client_info = gapic_v1.client_info.ClientInfo()
+
+    with mock.patch.object(transports.ContentServiceTransport, '_prep_wrapped_messages') as prep:
+        client = ContentServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            client_info=client_info,
+        )
+        prep.assert_called_once_with(client_info)
+
+    with mock.patch.object(transports.ContentServiceTransport, '_prep_wrapped_messages') as prep:
+        transport_class = ContentServiceClient.get_transport_class()
+        transport = transport_class(
+            credentials=ga_credentials.AnonymousCredentials(),
+            client_info=client_info,
+        )
+        prep.assert_called_once_with(client_info)
+
+
+def test_delete_operation(transport: str = "grpc"):
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.DeleteOperationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = None
+        response = client.delete_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert response is None
+@pytest.mark.asyncio
+async def test_delete_operation_async(transport: str = "grpc_asyncio"):
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.DeleteOperationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            None
+        )
+        response = await client.delete_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert response is None
+
+def test_delete_operation_field_headers():
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.DeleteOperationRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
+        call.return_value =  None
+
+        client.delete_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+@pytest.mark.asyncio
+async def test_delete_operation_field_headers_async():
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.DeleteOperationRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            None
+        )
+        await client.delete_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+
+def test_delete_operation_from_dict():
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = None
+
+        response = client.delete_operation(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+@pytest.mark.asyncio
+async def test_delete_operation_from_dict_async():
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            None
+        )
+        response = await client.delete_operation(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+
+
+def test_cancel_operation(transport: str = "grpc"):
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.CancelOperationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = None
+        response = client.cancel_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert response is None
+@pytest.mark.asyncio
+async def test_cancel_operation_async(transport: str = "grpc_asyncio"):
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.CancelOperationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            None
+        )
+        response = await client.cancel_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert response is None
+
+def test_cancel_operation_field_headers():
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.CancelOperationRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
+        call.return_value =  None
+
+        client.cancel_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+@pytest.mark.asyncio
+async def test_cancel_operation_field_headers_async():
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.CancelOperationRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            None
+        )
+        await client.cancel_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+
+def test_cancel_operation_from_dict():
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = None
+
+        response = client.cancel_operation(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+@pytest.mark.asyncio
+async def test_cancel_operation_from_dict_async():
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            None
+        )
+        response = await client.cancel_operation(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+
+
+def test_get_operation(transport: str = "grpc"):
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.GetOperationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation()
+        response = client.get_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, operations_pb2.Operation)
+@pytest.mark.asyncio
+async def test_get_operation_async(transport: str = "grpc_asyncio"):
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.GetOperationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation()
+        )
+        response = await client.get_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, operations_pb2.Operation)
+
+def test_get_operation_field_headers():
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.GetOperationRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
+        call.return_value = operations_pb2.Operation()
+
+        client.get_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+@pytest.mark.asyncio
+async def test_get_operation_field_headers_async():
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.GetOperationRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation()
+        )
+        await client.get_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+
+def test_get_operation_from_dict():
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation()
+
+        response = client.get_operation(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+@pytest.mark.asyncio
+async def test_get_operation_from_dict_async():
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation()
+        )
+        response = await client.get_operation(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+
+
+def test_list_operations(transport: str = "grpc"):
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.ListOperationsRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.ListOperationsResponse()
+        response = client.list_operations(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, operations_pb2.ListOperationsResponse)
+@pytest.mark.asyncio
+async def test_list_operations_async(transport: str = "grpc_asyncio"):
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.ListOperationsRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.ListOperationsResponse()
+        )
+        response = await client.list_operations(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, operations_pb2.ListOperationsResponse)
+
+def test_list_operations_field_headers():
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.ListOperationsRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
+        call.return_value = operations_pb2.ListOperationsResponse()
+
+        client.list_operations(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+@pytest.mark.asyncio
+async def test_list_operations_field_headers_async():
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.ListOperationsRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.ListOperationsResponse()
+        )
+        await client.list_operations(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+
+def test_list_operations_from_dict():
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.ListOperationsResponse()
+
+        response = client.list_operations(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+@pytest.mark.asyncio
+async def test_list_operations_from_dict_async():
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.ListOperationsResponse()
+        )
+        response = await client.list_operations(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+
+
+def test_list_locations(transport: str = "grpc"):
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = locations_pb2.ListLocationsRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = locations_pb2.ListLocationsResponse()
+        response = client.list_locations(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, locations_pb2.ListLocationsResponse)
+@pytest.mark.asyncio
+async def test_list_locations_async(transport: str = "grpc_asyncio"):
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = locations_pb2.ListLocationsRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            locations_pb2.ListLocationsResponse()
+        )
+        response = await client.list_locations(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, locations_pb2.ListLocationsResponse)
+
+def test_list_locations_field_headers():
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = locations_pb2.ListLocationsRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
+        call.return_value = locations_pb2.ListLocationsResponse()
+
+        client.list_locations(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+@pytest.mark.asyncio
+async def test_list_locations_field_headers_async():
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = locations_pb2.ListLocationsRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            locations_pb2.ListLocationsResponse()
+        )
+        await client.list_locations(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+
+def test_list_locations_from_dict():
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = locations_pb2.ListLocationsResponse()
+
+        response = client.list_locations(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+@pytest.mark.asyncio
+async def test_list_locations_from_dict_async():
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            locations_pb2.ListLocationsResponse()
+        )
+        response = await client.list_locations(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+
+
+def test_get_location(transport: str = "grpc"):
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = locations_pb2.GetLocationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_location), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = locations_pb2.Location()
+        response = client.get_location(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, locations_pb2.Location)
+@pytest.mark.asyncio
+async def test_get_location_async(transport: str = "grpc_asyncio"):
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = locations_pb2.GetLocationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_location), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            locations_pb2.Location()
+        )
+        response = await client.get_location(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, locations_pb2.Location)
+
+def test_get_location_field_headers():
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials())
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = locations_pb2.GetLocationRequest()
+    request.name = "locations/abc"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_location), "__call__") as call:
+        call.return_value = locations_pb2.Location()
+
+        client.get_location(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations/abc",) in kw["metadata"]
+@pytest.mark.asyncio
+async def test_get_location_field_headers_async():
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials()
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = locations_pb2.GetLocationRequest()
+    request.name = "locations/abc"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_location), "__call__") as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            locations_pb2.Location()
+        )
+        await client.get_location(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations/abc",) in kw["metadata"]
+
+def test_get_location_from_dict():
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = locations_pb2.Location()
+
+        response = client.get_location(
+            request={
+                "name": "locations/abc",
+            }
+        )
+        call.assert_called()
+@pytest.mark.asyncio
+async def test_get_location_from_dict_async():
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            locations_pb2.Location()
+        )
+        response = await client.get_location(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+
+
+def test_transport_close_grpc():
+    client = ContentServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc"
+    )
+    with mock.patch.object(type(getattr(client.transport, "_grpc_channel")), "close") as close:
+        with client:
+            close.assert_not_called()
+        close.assert_called_once()
+
+
+@pytest.mark.asyncio
+async def test_transport_close_grpc_asyncio():
+    client = ContentServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio"
+    )
+    with mock.patch.object(type(getattr(client.transport, "_grpc_channel")), "close") as close:
+        async with client:
+            close.assert_not_called()
+        close.assert_called_once()
+
+
+def test_client_ctx():
+    transports = [
+        'grpc',
+    ]
+    for transport in transports:
+        client = ContentServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport=transport
+        )
+        # Test client calls underlying transport.
+        with mock.patch.object(type(client.transport), "close") as close:
+            close.assert_not_called()
+            with client:
+                pass
+            close.assert_called()
+
+@pytest.mark.parametrize("client_class,transport_class", [
+    (ContentServiceClient, transports.ContentServiceGrpcTransport),
+    (ContentServiceAsyncClient, transports.ContentServiceGrpcAsyncIOTransport),
+])
+def test_api_key_credentials(client_class, transport_class):
+    with mock.patch.object(
+        google.auth._default, "get_api_key_credentials", create=True
+    ) as get_api_key_credentials:
+        mock_cred = mock.Mock()
+        get_api_key_credentials.return_value = mock_cred
+        options = client_options.ClientOptions()
+        options.api_key = "api_key"
+        with mock.patch.object(transport_class, "__init__") as patched:
+            patched.return_value = None
+            client = client_class(client_options=options)
+            patched.assert_called_once_with(
+                credentials=mock_cred,
+                credentials_file=None,
+                host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
+                scopes=None,
+                client_cert_source_for_mtls=None,
+                quota_project_id=None,
+                client_info=transports.base.DEFAULT_CLIENT_INFO,
+                always_use_jwt_access=True,
+                api_audience=None,
+            )
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/tests/unit/gapic/dataplex_v1/test_data_scan_service.py b/owl-bot-staging/google-cloud-dataplex/v1/tests/unit/gapic/dataplex_v1/test_data_scan_service.py
new file mode 100644
index 000000000000..04fa20e609a4
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/tests/unit/gapic/dataplex_v1/test_data_scan_service.py
@@ -0,0 +1,6013 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+import os
+# try/except added for compatibility with python < 3.8
+try:
+    from unittest import mock
+    from unittest.mock import AsyncMock  # pragma: NO COVER
+except ImportError:  # pragma: NO COVER
+    import mock
+
+import grpc
+from grpc.experimental import aio
+import math
+import pytest
+from google.api_core import api_core_version
+from proto.marshal.rules.dates import DurationRule, TimestampRule
+from proto.marshal.rules import wrappers
+
+try:
+    from google.auth.aio import credentials as ga_credentials_async
+    HAS_GOOGLE_AUTH_AIO = True
+except ImportError: # pragma: NO COVER
+    HAS_GOOGLE_AUTH_AIO = False
+
+from google.api_core import client_options
+from google.api_core import exceptions as core_exceptions
+from google.api_core import future
+from google.api_core import gapic_v1
+from google.api_core import grpc_helpers
+from google.api_core import grpc_helpers_async
+from google.api_core import operation
+from google.api_core import operation_async  # type: ignore
+from google.api_core import operations_v1
+from google.api_core import path_template
+from google.api_core import retry as retries
+from google.auth import credentials as ga_credentials
+from google.auth.exceptions import MutualTLSChannelError
+from google.cloud.dataplex_v1.services.data_scan_service import DataScanServiceAsyncClient
+from google.cloud.dataplex_v1.services.data_scan_service import DataScanServiceClient
+from google.cloud.dataplex_v1.services.data_scan_service import pagers
+from google.cloud.dataplex_v1.services.data_scan_service import transports
+from google.cloud.dataplex_v1.types import data_discovery
+from google.cloud.dataplex_v1.types import data_profile
+from google.cloud.dataplex_v1.types import data_quality
+from google.cloud.dataplex_v1.types import datascans
+from google.cloud.dataplex_v1.types import processing
+from google.cloud.dataplex_v1.types import resources
+from google.cloud.dataplex_v1.types import service
+from google.cloud.location import locations_pb2
+from google.iam.v1 import iam_policy_pb2  # type: ignore
+from google.iam.v1 import options_pb2  # type: ignore
+from google.iam.v1 import policy_pb2  # type: ignore
+from google.longrunning import operations_pb2 # type: ignore
+from google.oauth2 import service_account
+from google.protobuf import empty_pb2  # type: ignore
+from google.protobuf import field_mask_pb2  # type: ignore
+from google.protobuf import timestamp_pb2  # type: ignore
+import google.auth
+
+
+async def mock_async_gen(data, chunk_size=1):
+    for i in range(0, len(data)):  # pragma: NO COVER
+        chunk = data[i : i + chunk_size]
+        yield chunk.encode("utf-8")
+
+def client_cert_source_callback():
+    return b"cert bytes", b"key bytes"
+
+# TODO: use async auth anon credentials by default once the minimum version of google-auth is upgraded.
+# See related issue: https://github.com/googleapis/gapic-generator-python/issues/2107.
+def async_anonymous_credentials():
+    if HAS_GOOGLE_AUTH_AIO:
+        return ga_credentials_async.AnonymousCredentials()
+    return ga_credentials.AnonymousCredentials()
+
+# If default endpoint is localhost, then default mtls endpoint will be the same.
+# This method modifies the default endpoint so the client can produce a different
+# mtls endpoint for endpoint testing purposes.
+def modify_default_endpoint(client):
+    return "foo.googleapis.com" if ("localhost" in client.DEFAULT_ENDPOINT) else client.DEFAULT_ENDPOINT
+
+# If default endpoint template is localhost, then default mtls endpoint will be the same.
+# This method modifies the default endpoint template so the client can produce a different
+# mtls endpoint for endpoint testing purposes.
+def modify_default_endpoint_template(client):
+    return "test.{UNIVERSE_DOMAIN}" if ("localhost" in client._DEFAULT_ENDPOINT_TEMPLATE) else client._DEFAULT_ENDPOINT_TEMPLATE
+
+
+def test__get_default_mtls_endpoint():
+    api_endpoint = "example.googleapis.com"
+    api_mtls_endpoint = "example.mtls.googleapis.com"
+    sandbox_endpoint = "example.sandbox.googleapis.com"
+    sandbox_mtls_endpoint = "example.mtls.sandbox.googleapis.com"
+    non_googleapi = "api.example.com"
+
+    assert DataScanServiceClient._get_default_mtls_endpoint(None) is None
+    assert DataScanServiceClient._get_default_mtls_endpoint(api_endpoint) == api_mtls_endpoint
+    assert DataScanServiceClient._get_default_mtls_endpoint(api_mtls_endpoint) == api_mtls_endpoint
+    assert DataScanServiceClient._get_default_mtls_endpoint(sandbox_endpoint) == sandbox_mtls_endpoint
+    assert DataScanServiceClient._get_default_mtls_endpoint(sandbox_mtls_endpoint) == sandbox_mtls_endpoint
+    assert DataScanServiceClient._get_default_mtls_endpoint(non_googleapi) == non_googleapi
+
+def test__read_environment_variables():
+    assert DataScanServiceClient._read_environment_variables() == (False, "auto", None)
+
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
+        assert DataScanServiceClient._read_environment_variables() == (True, "auto", None)
+
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "false"}):
+        assert DataScanServiceClient._read_environment_variables() == (False, "auto", None)
+
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}):
+        with pytest.raises(ValueError) as excinfo:
+            DataScanServiceClient._read_environment_variables()
+    assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`"
+
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
+        assert DataScanServiceClient._read_environment_variables() == (False, "never", None)
+
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
+        assert DataScanServiceClient._read_environment_variables() == (False, "always", None)
+
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "auto"}):
+        assert DataScanServiceClient._read_environment_variables() == (False, "auto", None)
+
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}):
+        with pytest.raises(MutualTLSChannelError) as excinfo:
+            DataScanServiceClient._read_environment_variables()
+    assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`"
+
+    with mock.patch.dict(os.environ, {"GOOGLE_CLOUD_UNIVERSE_DOMAIN": "foo.com"}):
+        assert DataScanServiceClient._read_environment_variables() == (False, "auto", "foo.com")
+
+def test__get_client_cert_source():
+    mock_provided_cert_source = mock.Mock()
+    mock_default_cert_source = mock.Mock()
+
+    assert DataScanServiceClient._get_client_cert_source(None, False) is None
+    assert DataScanServiceClient._get_client_cert_source(mock_provided_cert_source, False) is None
+    assert DataScanServiceClient._get_client_cert_source(mock_provided_cert_source, True) == mock_provided_cert_source
+
+    with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True):
+        with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=mock_default_cert_source):
+            assert DataScanServiceClient._get_client_cert_source(None, True) is mock_default_cert_source
+            assert DataScanServiceClient._get_client_cert_source(mock_provided_cert_source, "true") is mock_provided_cert_source
+
+@mock.patch.object(DataScanServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DataScanServiceClient))
+@mock.patch.object(DataScanServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DataScanServiceAsyncClient))
+def test__get_api_endpoint():
+    api_override = "foo.com"
+    mock_client_cert_source = mock.Mock()
+    default_universe = DataScanServiceClient._DEFAULT_UNIVERSE
+    default_endpoint = DataScanServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=default_universe)
+    mock_universe = "bar.com"
+    mock_endpoint = DataScanServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=mock_universe)
+
+    assert DataScanServiceClient._get_api_endpoint(api_override, mock_client_cert_source, default_universe, "always") == api_override
+    assert DataScanServiceClient._get_api_endpoint(None, mock_client_cert_source, default_universe, "auto") == DataScanServiceClient.DEFAULT_MTLS_ENDPOINT
+    assert DataScanServiceClient._get_api_endpoint(None, None, default_universe, "auto") == default_endpoint
+    assert DataScanServiceClient._get_api_endpoint(None, None, default_universe, "always") == DataScanServiceClient.DEFAULT_MTLS_ENDPOINT
+    assert DataScanServiceClient._get_api_endpoint(None, mock_client_cert_source, default_universe, "always") == DataScanServiceClient.DEFAULT_MTLS_ENDPOINT
+    assert DataScanServiceClient._get_api_endpoint(None, None, mock_universe, "never") == mock_endpoint
+    assert DataScanServiceClient._get_api_endpoint(None, None, default_universe, "never") == default_endpoint
+
+    with pytest.raises(MutualTLSChannelError) as excinfo:
+        DataScanServiceClient._get_api_endpoint(None, mock_client_cert_source, mock_universe, "auto")
+    assert str(excinfo.value) == "mTLS is not supported in any universe other than googleapis.com."
+
+
+def test__get_universe_domain():
+    client_universe_domain = "foo.com"
+    universe_domain_env = "bar.com"
+
+    assert DataScanServiceClient._get_universe_domain(client_universe_domain, universe_domain_env) == client_universe_domain
+    assert DataScanServiceClient._get_universe_domain(None, universe_domain_env) == universe_domain_env
+    assert DataScanServiceClient._get_universe_domain(None, None) == DataScanServiceClient._DEFAULT_UNIVERSE
+
+    with pytest.raises(ValueError) as excinfo:
+        DataScanServiceClient._get_universe_domain("", None)
+    assert str(excinfo.value) == "Universe Domain cannot be an empty string."
+
+
+@pytest.mark.parametrize("client_class,transport_name", [
+    (DataScanServiceClient, "grpc"),
+    (DataScanServiceAsyncClient, "grpc_asyncio"),
+])
+def test_data_scan_service_client_from_service_account_info(client_class, transport_name):
+    creds = ga_credentials.AnonymousCredentials()
+    with mock.patch.object(service_account.Credentials, 'from_service_account_info') as factory:
+        factory.return_value = creds
+        info = {"valid": True}
+        client = client_class.from_service_account_info(info, transport=transport_name)
+        assert client.transport._credentials == creds
+        assert isinstance(client, client_class)
+
+        assert client.transport._host == (
+            'dataplex.googleapis.com:443'
+        )
+
+
+@pytest.mark.parametrize("transport_class,transport_name", [
+    (transports.DataScanServiceGrpcTransport, "grpc"),
+    (transports.DataScanServiceGrpcAsyncIOTransport, "grpc_asyncio"),
+])
+def test_data_scan_service_client_service_account_always_use_jwt(transport_class, transport_name):
+    with mock.patch.object(service_account.Credentials, 'with_always_use_jwt_access', create=True) as use_jwt:
+        creds = service_account.Credentials(None, None, None)
+        transport = transport_class(credentials=creds, always_use_jwt_access=True)
+        use_jwt.assert_called_once_with(True)
+
+    with mock.patch.object(service_account.Credentials, 'with_always_use_jwt_access', create=True) as use_jwt:
+        creds = service_account.Credentials(None, None, None)
+        transport = transport_class(credentials=creds, always_use_jwt_access=False)
+        use_jwt.assert_not_called()
+
+
+@pytest.mark.parametrize("client_class,transport_name", [
+    (DataScanServiceClient, "grpc"),
+    (DataScanServiceAsyncClient, "grpc_asyncio"),
+])
+def test_data_scan_service_client_from_service_account_file(client_class, transport_name):
+    creds = ga_credentials.AnonymousCredentials()
+    with mock.patch.object(service_account.Credentials, 'from_service_account_file') as factory:
+        factory.return_value = creds
+        client = client_class.from_service_account_file("dummy/file/path.json", transport=transport_name)
+        assert client.transport._credentials == creds
+        assert isinstance(client, client_class)
+
+        client = client_class.from_service_account_json("dummy/file/path.json", transport=transport_name)
+        assert client.transport._credentials == creds
+        assert isinstance(client, client_class)
+
+        assert client.transport._host == (
+            'dataplex.googleapis.com:443'
+        )
+
+
+def test_data_scan_service_client_get_transport_class():
+    transport = DataScanServiceClient.get_transport_class()
+    available_transports = [
+        transports.DataScanServiceGrpcTransport,
+    ]
+    assert transport in available_transports
+
+    transport = DataScanServiceClient.get_transport_class("grpc")
+    assert transport == transports.DataScanServiceGrpcTransport
+
+
+@pytest.mark.parametrize("client_class,transport_class,transport_name", [
+    (DataScanServiceClient, transports.DataScanServiceGrpcTransport, "grpc"),
+    (DataScanServiceAsyncClient, transports.DataScanServiceGrpcAsyncIOTransport, "grpc_asyncio"),
+])
+@mock.patch.object(DataScanServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DataScanServiceClient))
+@mock.patch.object(DataScanServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DataScanServiceAsyncClient))
+def test_data_scan_service_client_client_options(client_class, transport_class, transport_name):
+    # Check that if channel is provided we won't create a new one.
+    with mock.patch.object(DataScanServiceClient, 'get_transport_class') as gtc:
+        transport = transport_class(
+            credentials=ga_credentials.AnonymousCredentials()
+        )
+        client = client_class(transport=transport)
+        gtc.assert_not_called()
+
+    # Check that if channel is provided via str we will create a new one.
+    with mock.patch.object(DataScanServiceClient, 'get_transport_class') as gtc:
+        client = client_class(transport=transport_name)
+        gtc.assert_called()
+
+    # Check the case api_endpoint is provided.
+    options = client_options.ClientOptions(api_endpoint="squid.clam.whelk")
+    with mock.patch.object(transport_class, '__init__') as patched:
+        patched.return_value = None
+        client = client_class(transport=transport_name, client_options=options)
+        patched.assert_called_once_with(
+            credentials=None,
+            credentials_file=None,
+            host="squid.clam.whelk",
+            scopes=None,
+            client_cert_source_for_mtls=None,
+            quota_project_id=None,
+            client_info=transports.base.DEFAULT_CLIENT_INFO,
+            always_use_jwt_access=True,
+            api_audience=None,
+        )
+
+    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is
+    # "never".
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
+        with mock.patch.object(transport_class, '__init__') as patched:
+            patched.return_value = None
+            client = client_class(transport=transport_name)
+            patched.assert_called_once_with(
+                credentials=None,
+                credentials_file=None,
+                host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
+                scopes=None,
+                client_cert_source_for_mtls=None,
+                quota_project_id=None,
+                client_info=transports.base.DEFAULT_CLIENT_INFO,
+                always_use_jwt_access=True,
+                api_audience=None,
+            )
+
+    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is
+    # "always".
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
+        with mock.patch.object(transport_class, '__init__') as patched:
+            patched.return_value = None
+            client = client_class(transport=transport_name)
+            patched.assert_called_once_with(
+                credentials=None,
+                credentials_file=None,
+                host=client.DEFAULT_MTLS_ENDPOINT,
+                scopes=None,
+                client_cert_source_for_mtls=None,
+                quota_project_id=None,
+                client_info=transports.base.DEFAULT_CLIENT_INFO,
+                always_use_jwt_access=True,
+                api_audience=None,
+            )
+
+    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT has
+    # unsupported value.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}):
+        with pytest.raises(MutualTLSChannelError) as excinfo:
+            client = client_class(transport=transport_name)
+    assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`"
+
+    # Check the case GOOGLE_API_USE_CLIENT_CERTIFICATE has unsupported value.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}):
+        with pytest.raises(ValueError) as excinfo:
+            client = client_class(transport=transport_name)
+    assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`"
+
+    # Check the case quota_project_id is provided
+    options = client_options.ClientOptions(quota_project_id="octopus")
+    with mock.patch.object(transport_class, '__init__') as patched:
+        patched.return_value = None
+        client = client_class(client_options=options, transport=transport_name)
+        patched.assert_called_once_with(
+            credentials=None,
+            credentials_file=None,
+            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
+            scopes=None,
+            client_cert_source_for_mtls=None,
+            quota_project_id="octopus",
+            client_info=transports.base.DEFAULT_CLIENT_INFO,
+            always_use_jwt_access=True,
+            api_audience=None,
+        )
+    # Check the case api_endpoint is provided
+    options = client_options.ClientOptions(api_audience="https://language.googleapis.com")
+    with mock.patch.object(transport_class, '__init__') as patched:
+        patched.return_value = None
+        client = client_class(client_options=options, transport=transport_name)
+        patched.assert_called_once_with(
+            credentials=None,
+            credentials_file=None,
+            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
+            scopes=None,
+            client_cert_source_for_mtls=None,
+            quota_project_id=None,
+            client_info=transports.base.DEFAULT_CLIENT_INFO,
+            always_use_jwt_access=True,
+            api_audience="https://language.googleapis.com"
+        )
+
+@pytest.mark.parametrize("client_class,transport_class,transport_name,use_client_cert_env", [
+    (DataScanServiceClient, transports.DataScanServiceGrpcTransport, "grpc", "true"),
+    (DataScanServiceAsyncClient, transports.DataScanServiceGrpcAsyncIOTransport, "grpc_asyncio", "true"),
+    (DataScanServiceClient, transports.DataScanServiceGrpcTransport, "grpc", "false"),
+    (DataScanServiceAsyncClient, transports.DataScanServiceGrpcAsyncIOTransport, "grpc_asyncio", "false"),
+])
+@mock.patch.object(DataScanServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DataScanServiceClient))
+@mock.patch.object(DataScanServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DataScanServiceAsyncClient))
+@mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "auto"})
+def test_data_scan_service_client_mtls_env_auto(client_class, transport_class, transport_name, use_client_cert_env):
+    # This tests the endpoint autoswitch behavior. Endpoint is autoswitched to the default
+    # mtls endpoint, if GOOGLE_API_USE_CLIENT_CERTIFICATE is "true" and client cert exists.
+
+    # Check the case client_cert_source is provided. Whether client cert is used depends on
+    # GOOGLE_API_USE_CLIENT_CERTIFICATE value.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}):
+        options = client_options.ClientOptions(client_cert_source=client_cert_source_callback)
+        with mock.patch.object(transport_class, '__init__') as patched:
+            patched.return_value = None
+            client = client_class(client_options=options, transport=transport_name)
+
+            if use_client_cert_env == "false":
+                expected_client_cert_source = None
+                expected_host = client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE)
+            else:
+                expected_client_cert_source = client_cert_source_callback
+                expected_host = client.DEFAULT_MTLS_ENDPOINT
+
+            patched.assert_called_once_with(
+                credentials=None,
+                credentials_file=None,
+                host=expected_host,
+                scopes=None,
+                client_cert_source_for_mtls=expected_client_cert_source,
+                quota_project_id=None,
+                client_info=transports.base.DEFAULT_CLIENT_INFO,
+                always_use_jwt_access=True,
+                api_audience=None,
+            )
+
+    # Check the case ADC client cert is provided. Whether client cert is used depends on
+    # GOOGLE_API_USE_CLIENT_CERTIFICATE value.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}):
+        with mock.patch.object(transport_class, '__init__') as patched:
+            with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True):
+                with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=client_cert_source_callback):
+                    if use_client_cert_env == "false":
+                        expected_host = client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE)
+                        expected_client_cert_source = None
+                    else:
+                        expected_host = client.DEFAULT_MTLS_ENDPOINT
+                        expected_client_cert_source = client_cert_source_callback
+
+                    patched.return_value = None
+                    client = client_class(transport=transport_name)
+                    patched.assert_called_once_with(
+                        credentials=None,
+                        credentials_file=None,
+                        host=expected_host,
+                        scopes=None,
+                        client_cert_source_for_mtls=expected_client_cert_source,
+                        quota_project_id=None,
+                        client_info=transports.base.DEFAULT_CLIENT_INFO,
+                        always_use_jwt_access=True,
+                        api_audience=None,
+                    )
+
+    # Check the case client_cert_source and ADC client cert are not provided.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}):
+        with mock.patch.object(transport_class, '__init__') as patched:
+            with mock.patch("google.auth.transport.mtls.has_default_client_cert_source", return_value=False):
+                patched.return_value = None
+                client = client_class(transport=transport_name)
+                patched.assert_called_once_with(
+                    credentials=None,
+                    credentials_file=None,
+                    host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
+                    scopes=None,
+                    client_cert_source_for_mtls=None,
+                    quota_project_id=None,
+                    client_info=transports.base.DEFAULT_CLIENT_INFO,
+                    always_use_jwt_access=True,
+                    api_audience=None,
+                )
+
+
+@pytest.mark.parametrize("client_class", [
+    DataScanServiceClient, DataScanServiceAsyncClient
+])
+@mock.patch.object(DataScanServiceClient, "DEFAULT_ENDPOINT", modify_default_endpoint(DataScanServiceClient))
+@mock.patch.object(DataScanServiceAsyncClient, "DEFAULT_ENDPOINT", modify_default_endpoint(DataScanServiceAsyncClient))
+def test_data_scan_service_client_get_mtls_endpoint_and_cert_source(client_class):
+    mock_client_cert_source = mock.Mock()
+
+    # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "true".
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
+        mock_api_endpoint = "foo"
+        options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint)
+        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(options)
+        assert api_endpoint == mock_api_endpoint
+        assert cert_source == mock_client_cert_source
+
+    # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "false".
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "false"}):
+        mock_client_cert_source = mock.Mock()
+        mock_api_endpoint = "foo"
+        options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint)
+        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(options)
+        assert api_endpoint == mock_api_endpoint
+        assert cert_source is None
+
+    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "never".
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
+        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
+        assert api_endpoint == client_class.DEFAULT_ENDPOINT
+        assert cert_source is None
+
+    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "always".
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
+        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
+        assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT
+        assert cert_source is None
+
+    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert doesn't exist.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
+        with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=False):
+            api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
+            assert api_endpoint == client_class.DEFAULT_ENDPOINT
+            assert cert_source is None
+
+    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert exists.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
+        with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True):
+            with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=mock_client_cert_source):
+                api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
+                assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT
+                assert cert_source == mock_client_cert_source
+
+    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT has
+    # unsupported value.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}):
+        with pytest.raises(MutualTLSChannelError) as excinfo:
+            client_class.get_mtls_endpoint_and_cert_source()
+
+        assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`"
+
+    # Check the case GOOGLE_API_USE_CLIENT_CERTIFICATE has unsupported value.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}):
+        with pytest.raises(ValueError) as excinfo:
+            client_class.get_mtls_endpoint_and_cert_source()
+
+        assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`"
+
+@pytest.mark.parametrize("client_class", [
+    DataScanServiceClient, DataScanServiceAsyncClient
+])
+@mock.patch.object(DataScanServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DataScanServiceClient))
+@mock.patch.object(DataScanServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DataScanServiceAsyncClient))
+def test_data_scan_service_client_client_api_endpoint(client_class):
+    mock_client_cert_source = client_cert_source_callback
+    api_override = "foo.com"
+    default_universe = DataScanServiceClient._DEFAULT_UNIVERSE
+    default_endpoint = DataScanServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=default_universe)
+    mock_universe = "bar.com"
+    mock_endpoint = DataScanServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=mock_universe)
+
+    # If ClientOptions.api_endpoint is set and GOOGLE_API_USE_CLIENT_CERTIFICATE="true",
+    # use ClientOptions.api_endpoint as the api endpoint regardless.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
+        with mock.patch("google.auth.transport.requests.AuthorizedSession.configure_mtls_channel"):
+            options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=api_override)
+            client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials())
+            assert client.api_endpoint == api_override
+
+    # If ClientOptions.api_endpoint is not set and GOOGLE_API_USE_MTLS_ENDPOINT="never",
+    # use the _DEFAULT_ENDPOINT_TEMPLATE populated with GDU as the api endpoint.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
+        client = client_class(credentials=ga_credentials.AnonymousCredentials())
+        assert client.api_endpoint == default_endpoint
+
+    # If ClientOptions.api_endpoint is not set and GOOGLE_API_USE_MTLS_ENDPOINT="always",
+    # use the DEFAULT_MTLS_ENDPOINT as the api endpoint.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
+        client = client_class(credentials=ga_credentials.AnonymousCredentials())
+        assert client.api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT
+
+    # If ClientOptions.api_endpoint is not set, GOOGLE_API_USE_MTLS_ENDPOINT="auto" (default),
+    # GOOGLE_API_USE_CLIENT_CERTIFICATE="false" (default), default cert source doesn't exist,
+    # and ClientOptions.universe_domain="bar.com",
+    # use the _DEFAULT_ENDPOINT_TEMPLATE populated with universe domain as the api endpoint.
+    options = client_options.ClientOptions()
+    universe_exists = hasattr(options, "universe_domain")
+    if universe_exists:
+        options = client_options.ClientOptions(universe_domain=mock_universe)
+        client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials())
+    else:
+        client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials())
+    assert client.api_endpoint == (mock_endpoint if universe_exists else default_endpoint)
+    assert client.universe_domain == (mock_universe if universe_exists else default_universe)
+
+    # If ClientOptions does not have a universe domain attribute and GOOGLE_API_USE_MTLS_ENDPOINT="never",
+    # use the _DEFAULT_ENDPOINT_TEMPLATE populated with GDU as the api endpoint.
+    options = client_options.ClientOptions()
+    if hasattr(options, "universe_domain"):
+        delattr(options, "universe_domain")
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
+        client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials())
+        assert client.api_endpoint == default_endpoint
+
+
+@pytest.mark.parametrize("client_class,transport_class,transport_name", [
+    (DataScanServiceClient, transports.DataScanServiceGrpcTransport, "grpc"),
+    (DataScanServiceAsyncClient, transports.DataScanServiceGrpcAsyncIOTransport, "grpc_asyncio"),
+])
+def test_data_scan_service_client_client_options_scopes(client_class, transport_class, transport_name):
+    # Check the case scopes are provided.
+    options = client_options.ClientOptions(
+        scopes=["1", "2"],
+    )
+    with mock.patch.object(transport_class, '__init__') as patched:
+        patched.return_value = None
+        client = client_class(client_options=options, transport=transport_name)
+        patched.assert_called_once_with(
+            credentials=None,
+            credentials_file=None,
+            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
+            scopes=["1", "2"],
+            client_cert_source_for_mtls=None,
+            quota_project_id=None,
+            client_info=transports.base.DEFAULT_CLIENT_INFO,
+            always_use_jwt_access=True,
+            api_audience=None,
+        )
+
+@pytest.mark.parametrize("client_class,transport_class,transport_name,grpc_helpers", [
+    (DataScanServiceClient, transports.DataScanServiceGrpcTransport, "grpc", grpc_helpers),
+    (DataScanServiceAsyncClient, transports.DataScanServiceGrpcAsyncIOTransport, "grpc_asyncio", grpc_helpers_async),
+])
+def test_data_scan_service_client_client_options_credentials_file(client_class, transport_class, transport_name, grpc_helpers):
+    # Check the case credentials file is provided.
+    options = client_options.ClientOptions(
+        credentials_file="credentials.json"
+    )
+
+    with mock.patch.object(transport_class, '__init__') as patched:
+        patched.return_value = None
+        client = client_class(client_options=options, transport=transport_name)
+        patched.assert_called_once_with(
+            credentials=None,
+            credentials_file="credentials.json",
+            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
+            scopes=None,
+            client_cert_source_for_mtls=None,
+            quota_project_id=None,
+            client_info=transports.base.DEFAULT_CLIENT_INFO,
+            always_use_jwt_access=True,
+            api_audience=None,
+        )
+
+def test_data_scan_service_client_client_options_from_dict():
+    with mock.patch('google.cloud.dataplex_v1.services.data_scan_service.transports.DataScanServiceGrpcTransport.__init__') as grpc_transport:
+        grpc_transport.return_value = None
+        client = DataScanServiceClient(
+            client_options={'api_endpoint': 'squid.clam.whelk'}
+        )
+        grpc_transport.assert_called_once_with(
+            credentials=None,
+            credentials_file=None,
+            host="squid.clam.whelk",
+            scopes=None,
+            client_cert_source_for_mtls=None,
+            quota_project_id=None,
+            client_info=transports.base.DEFAULT_CLIENT_INFO,
+            always_use_jwt_access=True,
+            api_audience=None,
+        )
+
+
+@pytest.mark.parametrize("client_class,transport_class,transport_name,grpc_helpers", [
+    (DataScanServiceClient, transports.DataScanServiceGrpcTransport, "grpc", grpc_helpers),
+    (DataScanServiceAsyncClient, transports.DataScanServiceGrpcAsyncIOTransport, "grpc_asyncio", grpc_helpers_async),
+])
+def test_data_scan_service_client_create_channel_credentials_file(client_class, transport_class, transport_name, grpc_helpers):
+    # Check the case credentials file is provided.
+    options = client_options.ClientOptions(
+        credentials_file="credentials.json"
+    )
+
+    with mock.patch.object(transport_class, '__init__') as patched:
+        patched.return_value = None
+        client = client_class(client_options=options, transport=transport_name)
+        patched.assert_called_once_with(
+            credentials=None,
+            credentials_file="credentials.json",
+            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
+            scopes=None,
+            client_cert_source_for_mtls=None,
+            quota_project_id=None,
+            client_info=transports.base.DEFAULT_CLIENT_INFO,
+            always_use_jwt_access=True,
+            api_audience=None,
+        )
+
+    # test that the credentials from file are saved and used as the credentials.
+    with mock.patch.object(
+        google.auth, "load_credentials_from_file", autospec=True
+    ) as load_creds, mock.patch.object(
+        google.auth, "default", autospec=True
+    ) as adc, mock.patch.object(
+        grpc_helpers, "create_channel"
+    ) as create_channel:
+        creds = ga_credentials.AnonymousCredentials()
+        file_creds = ga_credentials.AnonymousCredentials()
+        load_creds.return_value = (file_creds, None)
+        adc.return_value = (creds, None)
+        client = client_class(client_options=options, transport=transport_name)
+        create_channel.assert_called_with(
+            "dataplex.googleapis.com:443",
+            credentials=file_creds,
+            credentials_file=None,
+            quota_project_id=None,
+            default_scopes=(
+                'https://www.googleapis.com/auth/cloud-platform',
+),
+            scopes=None,
+            default_host="dataplex.googleapis.com",
+            ssl_credentials=None,
+            options=[
+                ("grpc.max_send_message_length", -1),
+                ("grpc.max_receive_message_length", -1),
+            ],
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  datascans.CreateDataScanRequest,
+  dict,
+])
+def test_create_data_scan(request_type, transport: str = 'grpc'):
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_data_scan),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/spam')
+        response = client.create_data_scan(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = datascans.CreateDataScanRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+def test_create_data_scan_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = datascans.CreateDataScanRequest(
+        parent='parent_value',
+        data_scan_id='data_scan_id_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_data_scan),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.create_data_scan(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == datascans.CreateDataScanRequest(
+            parent='parent_value',
+            data_scan_id='data_scan_id_value',
+        )
+
+def test_create_data_scan_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = DataScanServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.create_data_scan in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.create_data_scan] = mock_rpc
+        request = {}
+        client.create_data_scan(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        client.create_data_scan(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_create_data_scan_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = DataScanServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.create_data_scan in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.create_data_scan] = mock_rpc
+
+        request = {}
+        await client.create_data_scan(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        await client.create_data_scan(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_create_data_scan_async(transport: str = 'grpc_asyncio', request_type=datascans.CreateDataScanRequest):
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_data_scan),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        response = await client.create_data_scan(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = datascans.CreateDataScanRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+@pytest.mark.asyncio
+async def test_create_data_scan_async_from_dict():
+    await test_create_data_scan_async(request_type=dict)
+
+def test_create_data_scan_field_headers():
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = datascans.CreateDataScanRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_data_scan),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.create_data_scan(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_create_data_scan_field_headers_async():
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = datascans.CreateDataScanRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_data_scan),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
+        await client.create_data_scan(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+def test_create_data_scan_flattened():
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_data_scan),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.create_data_scan(
+            parent='parent_value',
+            data_scan=datascans.DataScan(name='name_value'),
+            data_scan_id='data_scan_id_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+        arg = args[0].data_scan
+        mock_val = datascans.DataScan(name='name_value')
+        assert arg == mock_val
+        arg = args[0].data_scan_id
+        mock_val = 'data_scan_id_value'
+        assert arg == mock_val
+
+
+def test_create_data_scan_flattened_error():
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.create_data_scan(
+            datascans.CreateDataScanRequest(),
+            parent='parent_value',
+            data_scan=datascans.DataScan(name='name_value'),
+            data_scan_id='data_scan_id_value',
+        )
+
+@pytest.mark.asyncio
+async def test_create_data_scan_flattened_async():
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_data_scan),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.create_data_scan(
+            parent='parent_value',
+            data_scan=datascans.DataScan(name='name_value'),
+            data_scan_id='data_scan_id_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+        arg = args[0].data_scan
+        mock_val = datascans.DataScan(name='name_value')
+        assert arg == mock_val
+        arg = args[0].data_scan_id
+        mock_val = 'data_scan_id_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_create_data_scan_flattened_error_async():
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.create_data_scan(
+            datascans.CreateDataScanRequest(),
+            parent='parent_value',
+            data_scan=datascans.DataScan(name='name_value'),
+            data_scan_id='data_scan_id_value',
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  datascans.UpdateDataScanRequest,
+  dict,
+])
+def test_update_data_scan(request_type, transport: str = 'grpc'):
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_data_scan),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/spam')
+        response = client.update_data_scan(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = datascans.UpdateDataScanRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+def test_update_data_scan_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = datascans.UpdateDataScanRequest(
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_data_scan),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.update_data_scan(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == datascans.UpdateDataScanRequest(
+        )
+
+def test_update_data_scan_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = DataScanServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.update_data_scan in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.update_data_scan] = mock_rpc
+        request = {}
+        client.update_data_scan(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        client.update_data_scan(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_update_data_scan_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = DataScanServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.update_data_scan in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.update_data_scan] = mock_rpc
+
+        request = {}
+        await client.update_data_scan(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        await client.update_data_scan(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_update_data_scan_async(transport: str = 'grpc_asyncio', request_type=datascans.UpdateDataScanRequest):
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_data_scan),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        response = await client.update_data_scan(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = datascans.UpdateDataScanRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+@pytest.mark.asyncio
+async def test_update_data_scan_async_from_dict():
+    await test_update_data_scan_async(request_type=dict)
+
+def test_update_data_scan_field_headers():
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = datascans.UpdateDataScanRequest()
+
+    request.data_scan.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_data_scan),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.update_data_scan(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'data_scan.name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_update_data_scan_field_headers_async():
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = datascans.UpdateDataScanRequest()
+
+    request.data_scan.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_data_scan),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
+        await client.update_data_scan(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'data_scan.name=name_value',
+    ) in kw['metadata']
+
+
+def test_update_data_scan_flattened():
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_data_scan),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.update_data_scan(
+            data_scan=datascans.DataScan(name='name_value'),
+            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].data_scan
+        mock_val = datascans.DataScan(name='name_value')
+        assert arg == mock_val
+        arg = args[0].update_mask
+        mock_val = field_mask_pb2.FieldMask(paths=['paths_value'])
+        assert arg == mock_val
+
+
+def test_update_data_scan_flattened_error():
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.update_data_scan(
+            datascans.UpdateDataScanRequest(),
+            data_scan=datascans.DataScan(name='name_value'),
+            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
+        )
+
+@pytest.mark.asyncio
+async def test_update_data_scan_flattened_async():
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_data_scan),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.update_data_scan(
+            data_scan=datascans.DataScan(name='name_value'),
+            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].data_scan
+        mock_val = datascans.DataScan(name='name_value')
+        assert arg == mock_val
+        arg = args[0].update_mask
+        mock_val = field_mask_pb2.FieldMask(paths=['paths_value'])
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_update_data_scan_flattened_error_async():
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.update_data_scan(
+            datascans.UpdateDataScanRequest(),
+            data_scan=datascans.DataScan(name='name_value'),
+            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  datascans.DeleteDataScanRequest,
+  dict,
+])
+def test_delete_data_scan(request_type, transport: str = 'grpc'):
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_data_scan),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/spam')
+        response = client.delete_data_scan(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = datascans.DeleteDataScanRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+def test_delete_data_scan_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = datascans.DeleteDataScanRequest(
+        name='name_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_data_scan),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.delete_data_scan(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == datascans.DeleteDataScanRequest(
+            name='name_value',
+        )
+
+def test_delete_data_scan_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = DataScanServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.delete_data_scan in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.delete_data_scan] = mock_rpc
+        request = {}
+        client.delete_data_scan(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        client.delete_data_scan(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_delete_data_scan_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = DataScanServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.delete_data_scan in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.delete_data_scan] = mock_rpc
+
+        request = {}
+        await client.delete_data_scan(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        await client.delete_data_scan(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_delete_data_scan_async(transport: str = 'grpc_asyncio', request_type=datascans.DeleteDataScanRequest):
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_data_scan),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        response = await client.delete_data_scan(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = datascans.DeleteDataScanRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+@pytest.mark.asyncio
+async def test_delete_data_scan_async_from_dict():
+    await test_delete_data_scan_async(request_type=dict)
+
+def test_delete_data_scan_field_headers():
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = datascans.DeleteDataScanRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_data_scan),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.delete_data_scan(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_delete_data_scan_field_headers_async():
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = datascans.DeleteDataScanRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_data_scan),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
+        await client.delete_data_scan(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+def test_delete_data_scan_flattened():
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_data_scan),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.delete_data_scan(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+
+def test_delete_data_scan_flattened_error():
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.delete_data_scan(
+            datascans.DeleteDataScanRequest(),
+            name='name_value',
+        )
+
+@pytest.mark.asyncio
+async def test_delete_data_scan_flattened_async():
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_data_scan),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.delete_data_scan(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_delete_data_scan_flattened_error_async():
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.delete_data_scan(
+            datascans.DeleteDataScanRequest(),
+            name='name_value',
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  datascans.GetDataScanRequest,
+  dict,
+])
+def test_get_data_scan(request_type, transport: str = 'grpc'):
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_data_scan),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = datascans.DataScan(
+            name='name_value',
+            uid='uid_value',
+            description='description_value',
+            display_name='display_name_value',
+            state=resources.State.ACTIVE,
+            type_=datascans.DataScanType.DATA_QUALITY,
+        )
+        response = client.get_data_scan(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = datascans.GetDataScanRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, datascans.DataScan)
+    assert response.name == 'name_value'
+    assert response.uid == 'uid_value'
+    assert response.description == 'description_value'
+    assert response.display_name == 'display_name_value'
+    assert response.state == resources.State.ACTIVE
+    assert response.type_ == datascans.DataScanType.DATA_QUALITY
+
+
+def test_get_data_scan_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = datascans.GetDataScanRequest(
+        name='name_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_data_scan),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.get_data_scan(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == datascans.GetDataScanRequest(
+            name='name_value',
+        )
+
+def test_get_data_scan_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = DataScanServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.get_data_scan in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.get_data_scan] = mock_rpc
+        request = {}
+        client.get_data_scan(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.get_data_scan(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_get_data_scan_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = DataScanServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.get_data_scan in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.get_data_scan] = mock_rpc
+
+        request = {}
+        await client.get_data_scan(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.get_data_scan(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_get_data_scan_async(transport: str = 'grpc_asyncio', request_type=datascans.GetDataScanRequest):
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_data_scan),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(datascans.DataScan(
+            name='name_value',
+            uid='uid_value',
+            description='description_value',
+            display_name='display_name_value',
+            state=resources.State.ACTIVE,
+            type_=datascans.DataScanType.DATA_QUALITY,
+        ))
+        response = await client.get_data_scan(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = datascans.GetDataScanRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, datascans.DataScan)
+    assert response.name == 'name_value'
+    assert response.uid == 'uid_value'
+    assert response.description == 'description_value'
+    assert response.display_name == 'display_name_value'
+    assert response.state == resources.State.ACTIVE
+    assert response.type_ == datascans.DataScanType.DATA_QUALITY
+
+
+@pytest.mark.asyncio
+async def test_get_data_scan_async_from_dict():
+    await test_get_data_scan_async(request_type=dict)
+
+def test_get_data_scan_field_headers():
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = datascans.GetDataScanRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_data_scan),
+            '__call__') as call:
+        call.return_value = datascans.DataScan()
+        client.get_data_scan(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_get_data_scan_field_headers_async():
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = datascans.GetDataScanRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_data_scan),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(datascans.DataScan())
+        await client.get_data_scan(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+def test_get_data_scan_flattened():
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_data_scan),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = datascans.DataScan()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.get_data_scan(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+
+def test_get_data_scan_flattened_error():
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.get_data_scan(
+            datascans.GetDataScanRequest(),
+            name='name_value',
+        )
+
+@pytest.mark.asyncio
+async def test_get_data_scan_flattened_async():
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_data_scan),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = datascans.DataScan()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(datascans.DataScan())
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.get_data_scan(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_get_data_scan_flattened_error_async():
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.get_data_scan(
+            datascans.GetDataScanRequest(),
+            name='name_value',
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  datascans.ListDataScansRequest,
+  dict,
+])
+def test_list_data_scans(request_type, transport: str = 'grpc'):
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_scans),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = datascans.ListDataScansResponse(
+            next_page_token='next_page_token_value',
+            unreachable=['unreachable_value'],
+        )
+        response = client.list_data_scans(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = datascans.ListDataScansRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, pagers.ListDataScansPager)
+    assert response.next_page_token == 'next_page_token_value'
+    assert response.unreachable == ['unreachable_value']
+
+
+def test_list_data_scans_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = datascans.ListDataScansRequest(
+        parent='parent_value',
+        page_token='page_token_value',
+        filter='filter_value',
+        order_by='order_by_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_scans),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.list_data_scans(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == datascans.ListDataScansRequest(
+            parent='parent_value',
+            page_token='page_token_value',
+            filter='filter_value',
+            order_by='order_by_value',
+        )
+
+def test_list_data_scans_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = DataScanServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.list_data_scans in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.list_data_scans] = mock_rpc
+        request = {}
+        client.list_data_scans(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.list_data_scans(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_list_data_scans_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = DataScanServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.list_data_scans in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.list_data_scans] = mock_rpc
+
+        request = {}
+        await client.list_data_scans(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.list_data_scans(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_list_data_scans_async(transport: str = 'grpc_asyncio', request_type=datascans.ListDataScansRequest):
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_scans),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(datascans.ListDataScansResponse(
+            next_page_token='next_page_token_value',
+            unreachable=['unreachable_value'],
+        ))
+        response = await client.list_data_scans(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = datascans.ListDataScansRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, pagers.ListDataScansAsyncPager)
+    assert response.next_page_token == 'next_page_token_value'
+    assert response.unreachable == ['unreachable_value']
+
+
+@pytest.mark.asyncio
+async def test_list_data_scans_async_from_dict():
+    await test_list_data_scans_async(request_type=dict)
+
+def test_list_data_scans_field_headers():
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = datascans.ListDataScansRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_scans),
+            '__call__') as call:
+        call.return_value = datascans.ListDataScansResponse()
+        client.list_data_scans(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_list_data_scans_field_headers_async():
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = datascans.ListDataScansRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_scans),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(datascans.ListDataScansResponse())
+        await client.list_data_scans(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+def test_list_data_scans_flattened():
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_scans),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = datascans.ListDataScansResponse()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.list_data_scans(
+            parent='parent_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+
+
+def test_list_data_scans_flattened_error():
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.list_data_scans(
+            datascans.ListDataScansRequest(),
+            parent='parent_value',
+        )
+
+@pytest.mark.asyncio
+async def test_list_data_scans_flattened_async():
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_scans),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = datascans.ListDataScansResponse()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(datascans.ListDataScansResponse())
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.list_data_scans(
+            parent='parent_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_list_data_scans_flattened_error_async():
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.list_data_scans(
+            datascans.ListDataScansRequest(),
+            parent='parent_value',
+        )
+
+
+def test_list_data_scans_pager(transport_name: str = "grpc"):
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport_name,
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_scans),
+            '__call__') as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            datascans.ListDataScansResponse(
+                data_scans=[
+                    datascans.DataScan(),
+                    datascans.DataScan(),
+                    datascans.DataScan(),
+                ],
+                next_page_token='abc',
+            ),
+            datascans.ListDataScansResponse(
+                data_scans=[],
+                next_page_token='def',
+            ),
+            datascans.ListDataScansResponse(
+                data_scans=[
+                    datascans.DataScan(),
+                ],
+                next_page_token='ghi',
+            ),
+            datascans.ListDataScansResponse(
+                data_scans=[
+                    datascans.DataScan(),
+                    datascans.DataScan(),
+                ],
+            ),
+            RuntimeError,
+        )
+
+        expected_metadata = ()
+        retry = retries.Retry()
+        timeout = 5
+        expected_metadata = tuple(expected_metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ('parent', ''),
+            )),
+        )
+        pager = client.list_data_scans(request={}, retry=retry, timeout=timeout)
+
+        assert pager._metadata == expected_metadata
+        assert pager._retry == retry
+        assert pager._timeout == timeout
+
+        results = list(pager)
+        assert len(results) == 6
+        assert all(isinstance(i, datascans.DataScan)
+                   for i in results)
+def test_list_data_scans_pages(transport_name: str = "grpc"):
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport_name,
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_scans),
+            '__call__') as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            datascans.ListDataScansResponse(
+                data_scans=[
+                    datascans.DataScan(),
+                    datascans.DataScan(),
+                    datascans.DataScan(),
+                ],
+                next_page_token='abc',
+            ),
+            datascans.ListDataScansResponse(
+                data_scans=[],
+                next_page_token='def',
+            ),
+            datascans.ListDataScansResponse(
+                data_scans=[
+                    datascans.DataScan(),
+                ],
+                next_page_token='ghi',
+            ),
+            datascans.ListDataScansResponse(
+                data_scans=[
+                    datascans.DataScan(),
+                    datascans.DataScan(),
+                ],
+            ),
+            RuntimeError,
+        )
+        pages = list(client.list_data_scans(request={}).pages)
+        for page_, token in zip(pages, ['abc','def','ghi', '']):
+            assert page_.raw_page.next_page_token == token
+
+@pytest.mark.asyncio
+async def test_list_data_scans_async_pager():
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_scans),
+            '__call__', new_callable=mock.AsyncMock) as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            datascans.ListDataScansResponse(
+                data_scans=[
+                    datascans.DataScan(),
+                    datascans.DataScan(),
+                    datascans.DataScan(),
+                ],
+                next_page_token='abc',
+            ),
+            datascans.ListDataScansResponse(
+                data_scans=[],
+                next_page_token='def',
+            ),
+            datascans.ListDataScansResponse(
+                data_scans=[
+                    datascans.DataScan(),
+                ],
+                next_page_token='ghi',
+            ),
+            datascans.ListDataScansResponse(
+                data_scans=[
+                    datascans.DataScan(),
+                    datascans.DataScan(),
+                ],
+            ),
+            RuntimeError,
+        )
+        async_pager = await client.list_data_scans(request={},)
+        assert async_pager.next_page_token == 'abc'
+        responses = []
+        async for response in async_pager: # pragma: no branch
+            responses.append(response)
+
+        assert len(responses) == 6
+        assert all(isinstance(i, datascans.DataScan)
+                for i in responses)
+
+
+@pytest.mark.asyncio
+async def test_list_data_scans_async_pages():
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_scans),
+            '__call__', new_callable=mock.AsyncMock) as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            datascans.ListDataScansResponse(
+                data_scans=[
+                    datascans.DataScan(),
+                    datascans.DataScan(),
+                    datascans.DataScan(),
+                ],
+                next_page_token='abc',
+            ),
+            datascans.ListDataScansResponse(
+                data_scans=[],
+                next_page_token='def',
+            ),
+            datascans.ListDataScansResponse(
+                data_scans=[
+                    datascans.DataScan(),
+                ],
+                next_page_token='ghi',
+            ),
+            datascans.ListDataScansResponse(
+                data_scans=[
+                    datascans.DataScan(),
+                    datascans.DataScan(),
+                ],
+            ),
+            RuntimeError,
+        )
+        pages = []
+        # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch`
+        # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372
+        async for page_ in ( # pragma: no branch
+            await client.list_data_scans(request={})
+        ).pages:
+            pages.append(page_)
+        for page_, token in zip(pages, ['abc','def','ghi', '']):
+            assert page_.raw_page.next_page_token == token
+
+@pytest.mark.parametrize("request_type", [
+  datascans.RunDataScanRequest,
+  dict,
+])
+def test_run_data_scan(request_type, transport: str = 'grpc'):
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.run_data_scan),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = datascans.RunDataScanResponse(
+        )
+        response = client.run_data_scan(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = datascans.RunDataScanRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, datascans.RunDataScanResponse)
+
+
+def test_run_data_scan_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = datascans.RunDataScanRequest(
+        name='name_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.run_data_scan),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.run_data_scan(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == datascans.RunDataScanRequest(
+            name='name_value',
+        )
+
+def test_run_data_scan_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = DataScanServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.run_data_scan in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.run_data_scan] = mock_rpc
+        request = {}
+        client.run_data_scan(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.run_data_scan(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_run_data_scan_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = DataScanServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.run_data_scan in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.run_data_scan] = mock_rpc
+
+        request = {}
+        await client.run_data_scan(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.run_data_scan(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_run_data_scan_async(transport: str = 'grpc_asyncio', request_type=datascans.RunDataScanRequest):
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.run_data_scan),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(datascans.RunDataScanResponse(
+        ))
+        response = await client.run_data_scan(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = datascans.RunDataScanRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, datascans.RunDataScanResponse)
+
+
+@pytest.mark.asyncio
+async def test_run_data_scan_async_from_dict():
+    await test_run_data_scan_async(request_type=dict)
+
+def test_run_data_scan_field_headers():
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = datascans.RunDataScanRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.run_data_scan),
+            '__call__') as call:
+        call.return_value = datascans.RunDataScanResponse()
+        client.run_data_scan(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_run_data_scan_field_headers_async():
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = datascans.RunDataScanRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.run_data_scan),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(datascans.RunDataScanResponse())
+        await client.run_data_scan(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+def test_run_data_scan_flattened():
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.run_data_scan),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = datascans.RunDataScanResponse()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.run_data_scan(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+
+def test_run_data_scan_flattened_error():
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.run_data_scan(
+            datascans.RunDataScanRequest(),
+            name='name_value',
+        )
+
+@pytest.mark.asyncio
+async def test_run_data_scan_flattened_async():
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.run_data_scan),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = datascans.RunDataScanResponse()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(datascans.RunDataScanResponse())
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.run_data_scan(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_run_data_scan_flattened_error_async():
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.run_data_scan(
+            datascans.RunDataScanRequest(),
+            name='name_value',
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  datascans.GetDataScanJobRequest,
+  dict,
+])
+def test_get_data_scan_job(request_type, transport: str = 'grpc'):
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_data_scan_job),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = datascans.DataScanJob(
+            name='name_value',
+            uid='uid_value',
+            state=datascans.DataScanJob.State.RUNNING,
+            message='message_value',
+            type_=datascans.DataScanType.DATA_QUALITY,
+        )
+        response = client.get_data_scan_job(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = datascans.GetDataScanJobRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, datascans.DataScanJob)
+    assert response.name == 'name_value'
+    assert response.uid == 'uid_value'
+    assert response.state == datascans.DataScanJob.State.RUNNING
+    assert response.message == 'message_value'
+    assert response.type_ == datascans.DataScanType.DATA_QUALITY
+
+
+def test_get_data_scan_job_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = datascans.GetDataScanJobRequest(
+        name='name_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_data_scan_job),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.get_data_scan_job(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == datascans.GetDataScanJobRequest(
+            name='name_value',
+        )
+
+def test_get_data_scan_job_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = DataScanServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.get_data_scan_job in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.get_data_scan_job] = mock_rpc
+        request = {}
+        client.get_data_scan_job(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.get_data_scan_job(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_get_data_scan_job_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = DataScanServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.get_data_scan_job in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.get_data_scan_job] = mock_rpc
+
+        request = {}
+        await client.get_data_scan_job(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.get_data_scan_job(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_get_data_scan_job_async(transport: str = 'grpc_asyncio', request_type=datascans.GetDataScanJobRequest):
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_data_scan_job),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(datascans.DataScanJob(
+            name='name_value',
+            uid='uid_value',
+            state=datascans.DataScanJob.State.RUNNING,
+            message='message_value',
+            type_=datascans.DataScanType.DATA_QUALITY,
+        ))
+        response = await client.get_data_scan_job(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = datascans.GetDataScanJobRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, datascans.DataScanJob)
+    assert response.name == 'name_value'
+    assert response.uid == 'uid_value'
+    assert response.state == datascans.DataScanJob.State.RUNNING
+    assert response.message == 'message_value'
+    assert response.type_ == datascans.DataScanType.DATA_QUALITY
+
+
+@pytest.mark.asyncio
+async def test_get_data_scan_job_async_from_dict():
+    await test_get_data_scan_job_async(request_type=dict)
+
+def test_get_data_scan_job_field_headers():
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = datascans.GetDataScanJobRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_data_scan_job),
+            '__call__') as call:
+        call.return_value = datascans.DataScanJob()
+        client.get_data_scan_job(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_get_data_scan_job_field_headers_async():
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = datascans.GetDataScanJobRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_data_scan_job),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(datascans.DataScanJob())
+        await client.get_data_scan_job(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+def test_get_data_scan_job_flattened():
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_data_scan_job),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = datascans.DataScanJob()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.get_data_scan_job(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+
+def test_get_data_scan_job_flattened_error():
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.get_data_scan_job(
+            datascans.GetDataScanJobRequest(),
+            name='name_value',
+        )
+
+@pytest.mark.asyncio
+async def test_get_data_scan_job_flattened_async():
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_data_scan_job),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = datascans.DataScanJob()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(datascans.DataScanJob())
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.get_data_scan_job(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_get_data_scan_job_flattened_error_async():
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.get_data_scan_job(
+            datascans.GetDataScanJobRequest(),
+            name='name_value',
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  datascans.ListDataScanJobsRequest,
+  dict,
+])
+def test_list_data_scan_jobs(request_type, transport: str = 'grpc'):
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_scan_jobs),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = datascans.ListDataScanJobsResponse(
+            next_page_token='next_page_token_value',
+        )
+        response = client.list_data_scan_jobs(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = datascans.ListDataScanJobsRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, pagers.ListDataScanJobsPager)
+    assert response.next_page_token == 'next_page_token_value'
+
+
+def test_list_data_scan_jobs_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = datascans.ListDataScanJobsRequest(
+        parent='parent_value',
+        page_token='page_token_value',
+        filter='filter_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_scan_jobs),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.list_data_scan_jobs(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == datascans.ListDataScanJobsRequest(
+            parent='parent_value',
+            page_token='page_token_value',
+            filter='filter_value',
+        )
+
+def test_list_data_scan_jobs_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = DataScanServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.list_data_scan_jobs in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.list_data_scan_jobs] = mock_rpc
+        request = {}
+        client.list_data_scan_jobs(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.list_data_scan_jobs(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_list_data_scan_jobs_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = DataScanServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.list_data_scan_jobs in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.list_data_scan_jobs] = mock_rpc
+
+        request = {}
+        await client.list_data_scan_jobs(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.list_data_scan_jobs(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_list_data_scan_jobs_async(transport: str = 'grpc_asyncio', request_type=datascans.ListDataScanJobsRequest):
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_scan_jobs),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(datascans.ListDataScanJobsResponse(
+            next_page_token='next_page_token_value',
+        ))
+        response = await client.list_data_scan_jobs(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = datascans.ListDataScanJobsRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, pagers.ListDataScanJobsAsyncPager)
+    assert response.next_page_token == 'next_page_token_value'
+
+
+@pytest.mark.asyncio
+async def test_list_data_scan_jobs_async_from_dict():
+    await test_list_data_scan_jobs_async(request_type=dict)
+
+def test_list_data_scan_jobs_field_headers():
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = datascans.ListDataScanJobsRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_scan_jobs),
+            '__call__') as call:
+        call.return_value = datascans.ListDataScanJobsResponse()
+        client.list_data_scan_jobs(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_list_data_scan_jobs_field_headers_async():
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = datascans.ListDataScanJobsRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_scan_jobs),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(datascans.ListDataScanJobsResponse())
+        await client.list_data_scan_jobs(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+def test_list_data_scan_jobs_flattened():
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_scan_jobs),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = datascans.ListDataScanJobsResponse()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.list_data_scan_jobs(
+            parent='parent_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+
+
+def test_list_data_scan_jobs_flattened_error():
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.list_data_scan_jobs(
+            datascans.ListDataScanJobsRequest(),
+            parent='parent_value',
+        )
+
+@pytest.mark.asyncio
+async def test_list_data_scan_jobs_flattened_async():
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_scan_jobs),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = datascans.ListDataScanJobsResponse()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(datascans.ListDataScanJobsResponse())
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.list_data_scan_jobs(
+            parent='parent_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_list_data_scan_jobs_flattened_error_async():
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.list_data_scan_jobs(
+            datascans.ListDataScanJobsRequest(),
+            parent='parent_value',
+        )
+
+
+def test_list_data_scan_jobs_pager(transport_name: str = "grpc"):
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport_name,
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_scan_jobs),
+            '__call__') as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            datascans.ListDataScanJobsResponse(
+                data_scan_jobs=[
+                    datascans.DataScanJob(),
+                    datascans.DataScanJob(),
+                    datascans.DataScanJob(),
+                ],
+                next_page_token='abc',
+            ),
+            datascans.ListDataScanJobsResponse(
+                data_scan_jobs=[],
+                next_page_token='def',
+            ),
+            datascans.ListDataScanJobsResponse(
+                data_scan_jobs=[
+                    datascans.DataScanJob(),
+                ],
+                next_page_token='ghi',
+            ),
+            datascans.ListDataScanJobsResponse(
+                data_scan_jobs=[
+                    datascans.DataScanJob(),
+                    datascans.DataScanJob(),
+                ],
+            ),
+            RuntimeError,
+        )
+
+        expected_metadata = ()
+        retry = retries.Retry()
+        timeout = 5
+        expected_metadata = tuple(expected_metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ('parent', ''),
+            )),
+        )
+        pager = client.list_data_scan_jobs(request={}, retry=retry, timeout=timeout)
+
+        assert pager._metadata == expected_metadata
+        assert pager._retry == retry
+        assert pager._timeout == timeout
+
+        results = list(pager)
+        assert len(results) == 6
+        assert all(isinstance(i, datascans.DataScanJob)
+                   for i in results)
+def test_list_data_scan_jobs_pages(transport_name: str = "grpc"):
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport_name,
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_scan_jobs),
+            '__call__') as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            datascans.ListDataScanJobsResponse(
+                data_scan_jobs=[
+                    datascans.DataScanJob(),
+                    datascans.DataScanJob(),
+                    datascans.DataScanJob(),
+                ],
+                next_page_token='abc',
+            ),
+            datascans.ListDataScanJobsResponse(
+                data_scan_jobs=[],
+                next_page_token='def',
+            ),
+            datascans.ListDataScanJobsResponse(
+                data_scan_jobs=[
+                    datascans.DataScanJob(),
+                ],
+                next_page_token='ghi',
+            ),
+            datascans.ListDataScanJobsResponse(
+                data_scan_jobs=[
+                    datascans.DataScanJob(),
+                    datascans.DataScanJob(),
+                ],
+            ),
+            RuntimeError,
+        )
+        pages = list(client.list_data_scan_jobs(request={}).pages)
+        for page_, token in zip(pages, ['abc','def','ghi', '']):
+            assert page_.raw_page.next_page_token == token
+
+@pytest.mark.asyncio
+async def test_list_data_scan_jobs_async_pager():
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_scan_jobs),
+            '__call__', new_callable=mock.AsyncMock) as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            datascans.ListDataScanJobsResponse(
+                data_scan_jobs=[
+                    datascans.DataScanJob(),
+                    datascans.DataScanJob(),
+                    datascans.DataScanJob(),
+                ],
+                next_page_token='abc',
+            ),
+            datascans.ListDataScanJobsResponse(
+                data_scan_jobs=[],
+                next_page_token='def',
+            ),
+            datascans.ListDataScanJobsResponse(
+                data_scan_jobs=[
+                    datascans.DataScanJob(),
+                ],
+                next_page_token='ghi',
+            ),
+            datascans.ListDataScanJobsResponse(
+                data_scan_jobs=[
+                    datascans.DataScanJob(),
+                    datascans.DataScanJob(),
+                ],
+            ),
+            RuntimeError,
+        )
+        async_pager = await client.list_data_scan_jobs(request={},)
+        assert async_pager.next_page_token == 'abc'
+        responses = []
+        async for response in async_pager: # pragma: no branch
+            responses.append(response)
+
+        assert len(responses) == 6
+        assert all(isinstance(i, datascans.DataScanJob)
+                for i in responses)
+
+
+@pytest.mark.asyncio
+async def test_list_data_scan_jobs_async_pages():
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_scan_jobs),
+            '__call__', new_callable=mock.AsyncMock) as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            datascans.ListDataScanJobsResponse(
+                data_scan_jobs=[
+                    datascans.DataScanJob(),
+                    datascans.DataScanJob(),
+                    datascans.DataScanJob(),
+                ],
+                next_page_token='abc',
+            ),
+            datascans.ListDataScanJobsResponse(
+                data_scan_jobs=[],
+                next_page_token='def',
+            ),
+            datascans.ListDataScanJobsResponse(
+                data_scan_jobs=[
+                    datascans.DataScanJob(),
+                ],
+                next_page_token='ghi',
+            ),
+            datascans.ListDataScanJobsResponse(
+                data_scan_jobs=[
+                    datascans.DataScanJob(),
+                    datascans.DataScanJob(),
+                ],
+            ),
+            RuntimeError,
+        )
+        pages = []
+        # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch`
+        # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372
+        async for page_ in ( # pragma: no branch
+            await client.list_data_scan_jobs(request={})
+        ).pages:
+            pages.append(page_)
+        for page_, token in zip(pages, ['abc','def','ghi', '']):
+            assert page_.raw_page.next_page_token == token
+
+@pytest.mark.parametrize("request_type", [
+  datascans.GenerateDataQualityRulesRequest,
+  dict,
+])
+def test_generate_data_quality_rules(request_type, transport: str = 'grpc'):
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.generate_data_quality_rules),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = datascans.GenerateDataQualityRulesResponse(
+        )
+        response = client.generate_data_quality_rules(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = datascans.GenerateDataQualityRulesRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, datascans.GenerateDataQualityRulesResponse)
+
+
+def test_generate_data_quality_rules_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = datascans.GenerateDataQualityRulesRequest(
+        name='name_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.generate_data_quality_rules),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.generate_data_quality_rules(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == datascans.GenerateDataQualityRulesRequest(
+            name='name_value',
+        )
+
+def test_generate_data_quality_rules_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = DataScanServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.generate_data_quality_rules in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.generate_data_quality_rules] = mock_rpc
+        request = {}
+        client.generate_data_quality_rules(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.generate_data_quality_rules(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_generate_data_quality_rules_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = DataScanServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.generate_data_quality_rules in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.generate_data_quality_rules] = mock_rpc
+
+        request = {}
+        await client.generate_data_quality_rules(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.generate_data_quality_rules(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_generate_data_quality_rules_async(transport: str = 'grpc_asyncio', request_type=datascans.GenerateDataQualityRulesRequest):
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.generate_data_quality_rules),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(datascans.GenerateDataQualityRulesResponse(
+        ))
+        response = await client.generate_data_quality_rules(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = datascans.GenerateDataQualityRulesRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, datascans.GenerateDataQualityRulesResponse)
+
+
+@pytest.mark.asyncio
+async def test_generate_data_quality_rules_async_from_dict():
+    await test_generate_data_quality_rules_async(request_type=dict)
+
+def test_generate_data_quality_rules_field_headers():
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = datascans.GenerateDataQualityRulesRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.generate_data_quality_rules),
+            '__call__') as call:
+        call.return_value = datascans.GenerateDataQualityRulesResponse()
+        client.generate_data_quality_rules(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_generate_data_quality_rules_field_headers_async():
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = datascans.GenerateDataQualityRulesRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.generate_data_quality_rules),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(datascans.GenerateDataQualityRulesResponse())
+        await client.generate_data_quality_rules(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+def test_generate_data_quality_rules_flattened():
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.generate_data_quality_rules),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = datascans.GenerateDataQualityRulesResponse()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.generate_data_quality_rules(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+
+def test_generate_data_quality_rules_flattened_error():
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.generate_data_quality_rules(
+            datascans.GenerateDataQualityRulesRequest(),
+            name='name_value',
+        )
+
+@pytest.mark.asyncio
+async def test_generate_data_quality_rules_flattened_async():
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.generate_data_quality_rules),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = datascans.GenerateDataQualityRulesResponse()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(datascans.GenerateDataQualityRulesResponse())
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.generate_data_quality_rules(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_generate_data_quality_rules_flattened_error_async():
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.generate_data_quality_rules(
+            datascans.GenerateDataQualityRulesRequest(),
+            name='name_value',
+        )
+
+
+def test_credentials_transport_error():
+    # It is an error to provide credentials and a transport instance.
+    transport = transports.DataScanServiceGrpcTransport(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    with pytest.raises(ValueError):
+        client = DataScanServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport=transport,
+        )
+
+    # It is an error to provide a credentials file and a transport instance.
+    transport = transports.DataScanServiceGrpcTransport(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    with pytest.raises(ValueError):
+        client = DataScanServiceClient(
+            client_options={"credentials_file": "credentials.json"},
+            transport=transport,
+        )
+
+    # It is an error to provide an api_key and a transport instance.
+    transport = transports.DataScanServiceGrpcTransport(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    options = client_options.ClientOptions()
+    options.api_key = "api_key"
+    with pytest.raises(ValueError):
+        client = DataScanServiceClient(
+            client_options=options,
+            transport=transport,
+        )
+
+    # It is an error to provide an api_key and a credential.
+    options = client_options.ClientOptions()
+    options.api_key = "api_key"
+    with pytest.raises(ValueError):
+        client = DataScanServiceClient(
+            client_options=options,
+            credentials=ga_credentials.AnonymousCredentials()
+        )
+
+    # It is an error to provide scopes and a transport instance.
+    transport = transports.DataScanServiceGrpcTransport(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    with pytest.raises(ValueError):
+        client = DataScanServiceClient(
+            client_options={"scopes": ["1", "2"]},
+            transport=transport,
+        )
+
+
+def test_transport_instance():
+    # A client may be instantiated with a custom transport instance.
+    transport = transports.DataScanServiceGrpcTransport(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    client = DataScanServiceClient(transport=transport)
+    assert client.transport is transport
+
+def test_transport_get_channel():
+    # A client may be instantiated with a custom transport instance.
+    transport = transports.DataScanServiceGrpcTransport(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    channel = transport.grpc_channel
+    assert channel
+
+    transport = transports.DataScanServiceGrpcAsyncIOTransport(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    channel = transport.grpc_channel
+    assert channel
+
+@pytest.mark.parametrize("transport_class", [
+    transports.DataScanServiceGrpcTransport,
+    transports.DataScanServiceGrpcAsyncIOTransport,
+])
+def test_transport_adc(transport_class):
+    # Test default credentials are used if not provided.
+    with mock.patch.object(google.auth, 'default') as adc:
+        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
+        transport_class()
+        adc.assert_called_once()
+
+def test_transport_kind_grpc():
+    transport = DataScanServiceClient.get_transport_class("grpc")(
+        credentials=ga_credentials.AnonymousCredentials()
+    )
+    assert transport.kind == "grpc"
+
+
+def test_initialize_client_w_grpc():
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc"
+    )
+    assert client is not None
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_create_data_scan_empty_call_grpc():
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_data_scan),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.create_data_scan(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = datascans.CreateDataScanRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_update_data_scan_empty_call_grpc():
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_data_scan),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.update_data_scan(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = datascans.UpdateDataScanRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_delete_data_scan_empty_call_grpc():
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_data_scan),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.delete_data_scan(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = datascans.DeleteDataScanRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_get_data_scan_empty_call_grpc():
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_data_scan),
+            '__call__') as call:
+        call.return_value = datascans.DataScan()
+        client.get_data_scan(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = datascans.GetDataScanRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_list_data_scans_empty_call_grpc():
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_scans),
+            '__call__') as call:
+        call.return_value = datascans.ListDataScansResponse()
+        client.list_data_scans(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = datascans.ListDataScansRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_run_data_scan_empty_call_grpc():
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.run_data_scan),
+            '__call__') as call:
+        call.return_value = datascans.RunDataScanResponse()
+        client.run_data_scan(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = datascans.RunDataScanRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_get_data_scan_job_empty_call_grpc():
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_data_scan_job),
+            '__call__') as call:
+        call.return_value = datascans.DataScanJob()
+        client.get_data_scan_job(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = datascans.GetDataScanJobRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_list_data_scan_jobs_empty_call_grpc():
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_scan_jobs),
+            '__call__') as call:
+        call.return_value = datascans.ListDataScanJobsResponse()
+        client.list_data_scan_jobs(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = datascans.ListDataScanJobsRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_generate_data_quality_rules_empty_call_grpc():
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.generate_data_quality_rules),
+            '__call__') as call:
+        call.return_value = datascans.GenerateDataQualityRulesResponse()
+        client.generate_data_quality_rules(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = datascans.GenerateDataQualityRulesRequest()
+
+        assert args[0] == request_msg
+
+
+def test_transport_kind_grpc_asyncio():
+    transport = DataScanServiceAsyncClient.get_transport_class("grpc_asyncio")(
+        credentials=async_anonymous_credentials()
+    )
+    assert transport.kind == "grpc_asyncio"
+
+
+def test_initialize_client_w_grpc_asyncio():
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio"
+    )
+    assert client is not None
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_create_data_scan_empty_call_grpc_asyncio():
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_data_scan),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        await client.create_data_scan(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = datascans.CreateDataScanRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_update_data_scan_empty_call_grpc_asyncio():
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_data_scan),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        await client.update_data_scan(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = datascans.UpdateDataScanRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_delete_data_scan_empty_call_grpc_asyncio():
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_data_scan),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        await client.delete_data_scan(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = datascans.DeleteDataScanRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_get_data_scan_empty_call_grpc_asyncio():
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_data_scan),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(datascans.DataScan(
+            name='name_value',
+            uid='uid_value',
+            description='description_value',
+            display_name='display_name_value',
+            state=resources.State.ACTIVE,
+            type_=datascans.DataScanType.DATA_QUALITY,
+        ))
+        await client.get_data_scan(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = datascans.GetDataScanRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_list_data_scans_empty_call_grpc_asyncio():
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_scans),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(datascans.ListDataScansResponse(
+            next_page_token='next_page_token_value',
+            unreachable=['unreachable_value'],
+        ))
+        await client.list_data_scans(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = datascans.ListDataScansRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_run_data_scan_empty_call_grpc_asyncio():
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.run_data_scan),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(datascans.RunDataScanResponse(
+        ))
+        await client.run_data_scan(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = datascans.RunDataScanRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_get_data_scan_job_empty_call_grpc_asyncio():
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_data_scan_job),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(datascans.DataScanJob(
+            name='name_value',
+            uid='uid_value',
+            state=datascans.DataScanJob.State.RUNNING,
+            message='message_value',
+            type_=datascans.DataScanType.DATA_QUALITY,
+        ))
+        await client.get_data_scan_job(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = datascans.GetDataScanJobRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_list_data_scan_jobs_empty_call_grpc_asyncio():
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_scan_jobs),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(datascans.ListDataScanJobsResponse(
+            next_page_token='next_page_token_value',
+        ))
+        await client.list_data_scan_jobs(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = datascans.ListDataScanJobsRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_generate_data_quality_rules_empty_call_grpc_asyncio():
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.generate_data_quality_rules),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(datascans.GenerateDataQualityRulesResponse(
+        ))
+        await client.generate_data_quality_rules(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = datascans.GenerateDataQualityRulesRequest()
+
+        assert args[0] == request_msg
+
+
+def test_transport_grpc_default():
+    # A client should use the gRPC transport by default.
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    assert isinstance(
+        client.transport,
+        transports.DataScanServiceGrpcTransport,
+    )
+
+def test_data_scan_service_base_transport_error():
+    # Passing both a credentials object and credentials_file should raise an error
+    with pytest.raises(core_exceptions.DuplicateCredentialArgs):
+        transport = transports.DataScanServiceTransport(
+            credentials=ga_credentials.AnonymousCredentials(),
+            credentials_file="credentials.json"
+        )
+
+
+def test_data_scan_service_base_transport():
+    # Instantiate the base transport.
+    with mock.patch('google.cloud.dataplex_v1.services.data_scan_service.transports.DataScanServiceTransport.__init__') as Transport:
+        Transport.return_value = None
+        transport = transports.DataScanServiceTransport(
+            credentials=ga_credentials.AnonymousCredentials(),
+        )
+
+    # Every method on the transport should just blindly
+    # raise NotImplementedError.
+    methods = (
+        'create_data_scan',
+        'update_data_scan',
+        'delete_data_scan',
+        'get_data_scan',
+        'list_data_scans',
+        'run_data_scan',
+        'get_data_scan_job',
+        'list_data_scan_jobs',
+        'generate_data_quality_rules',
+        'get_location',
+        'list_locations',
+        'get_operation',
+        'cancel_operation',
+        'delete_operation',
+        'list_operations',
+    )
+    for method in methods:
+        with pytest.raises(NotImplementedError):
+            getattr(transport, method)(request=object())
+
+    with pytest.raises(NotImplementedError):
+        transport.close()
+
+    # Additionally, the LRO client (a property) should
+    # also raise NotImplementedError
+    with pytest.raises(NotImplementedError):
+        transport.operations_client
+
+    # Catch all for all remaining methods and properties
+    remainder = [
+        'kind',
+    ]
+    for r in remainder:
+        with pytest.raises(NotImplementedError):
+            getattr(transport, r)()
+
+
+def test_data_scan_service_base_transport_with_credentials_file():
+    # Instantiate the base transport with a credentials file
+    with mock.patch.object(google.auth, 'load_credentials_from_file', autospec=True) as load_creds, mock.patch('google.cloud.dataplex_v1.services.data_scan_service.transports.DataScanServiceTransport._prep_wrapped_messages') as Transport:
+        Transport.return_value = None
+        load_creds.return_value = (ga_credentials.AnonymousCredentials(), None)
+        transport = transports.DataScanServiceTransport(
+            credentials_file="credentials.json",
+            quota_project_id="octopus",
+        )
+        load_creds.assert_called_once_with("credentials.json",
+            scopes=None,
+            default_scopes=(
+            'https://www.googleapis.com/auth/cloud-platform',
+),
+            quota_project_id="octopus",
+        )
+
+
+def test_data_scan_service_base_transport_with_adc():
+    # Test the default credentials are used if credentials and credentials_file are None.
+    with mock.patch.object(google.auth, 'default', autospec=True) as adc, mock.patch('google.cloud.dataplex_v1.services.data_scan_service.transports.DataScanServiceTransport._prep_wrapped_messages') as Transport:
+        Transport.return_value = None
+        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
+        transport = transports.DataScanServiceTransport()
+        adc.assert_called_once()
+
+
+def test_data_scan_service_auth_adc():
+    # If no credentials are provided, we should use ADC credentials.
+    with mock.patch.object(google.auth, 'default', autospec=True) as adc:
+        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
+        DataScanServiceClient()
+        adc.assert_called_once_with(
+            scopes=None,
+            default_scopes=(
+            'https://www.googleapis.com/auth/cloud-platform',
+),
+            quota_project_id=None,
+        )
+
+
+@pytest.mark.parametrize(
+    "transport_class",
+    [
+        transports.DataScanServiceGrpcTransport,
+        transports.DataScanServiceGrpcAsyncIOTransport,
+    ],
+)
+def test_data_scan_service_transport_auth_adc(transport_class):
+    # If credentials and host are not provided, the transport class should use
+    # ADC credentials.
+    with mock.patch.object(google.auth, 'default', autospec=True) as adc:
+        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
+        transport_class(quota_project_id="octopus", scopes=["1", "2"])
+        adc.assert_called_once_with(
+            scopes=["1", "2"],
+            default_scopes=(                'https://www.googleapis.com/auth/cloud-platform',),
+            quota_project_id="octopus",
+        )
+
+
+@pytest.mark.parametrize(
+    "transport_class",
+    [
+        transports.DataScanServiceGrpcTransport,
+        transports.DataScanServiceGrpcAsyncIOTransport,
+    ],
+)
+def test_data_scan_service_transport_auth_gdch_credentials(transport_class):
+    host = 'https://language.com'
+    api_audience_tests = [None, 'https://language2.com']
+    api_audience_expect = [host, 'https://language2.com']
+    for t, e in zip(api_audience_tests, api_audience_expect):
+        with mock.patch.object(google.auth, 'default', autospec=True) as adc:
+            gdch_mock = mock.MagicMock()
+            type(gdch_mock).with_gdch_audience = mock.PropertyMock(return_value=gdch_mock)
+            adc.return_value = (gdch_mock, None)
+            transport_class(host=host, api_audience=t)
+            gdch_mock.with_gdch_audience.assert_called_once_with(
+                e
+            )
+
+
+@pytest.mark.parametrize(
+    "transport_class,grpc_helpers",
+    [
+        (transports.DataScanServiceGrpcTransport, grpc_helpers),
+        (transports.DataScanServiceGrpcAsyncIOTransport, grpc_helpers_async)
+    ],
+)
+def test_data_scan_service_transport_create_channel(transport_class, grpc_helpers):
+    # If credentials and host are not provided, the transport class should use
+    # ADC credentials.
+    with mock.patch.object(google.auth, "default", autospec=True) as adc, mock.patch.object(
+        grpc_helpers, "create_channel", autospec=True
+    ) as create_channel:
+        creds = ga_credentials.AnonymousCredentials()
+        adc.return_value = (creds, None)
+        transport_class(
+            quota_project_id="octopus",
+            scopes=["1", "2"]
+        )
+
+        create_channel.assert_called_with(
+            "dataplex.googleapis.com:443",
+            credentials=creds,
+            credentials_file=None,
+            quota_project_id="octopus",
+            default_scopes=(
+                'https://www.googleapis.com/auth/cloud-platform',
+),
+            scopes=["1", "2"],
+            default_host="dataplex.googleapis.com",
+            ssl_credentials=None,
+            options=[
+                ("grpc.max_send_message_length", -1),
+                ("grpc.max_receive_message_length", -1),
+            ],
+        )
+
+
+@pytest.mark.parametrize("transport_class", [transports.DataScanServiceGrpcTransport, transports.DataScanServiceGrpcAsyncIOTransport])
+def test_data_scan_service_grpc_transport_client_cert_source_for_mtls(
+    transport_class
+):
+    cred = ga_credentials.AnonymousCredentials()
+
+    # Check ssl_channel_credentials is used if provided.
+    with mock.patch.object(transport_class, "create_channel") as mock_create_channel:
+        mock_ssl_channel_creds = mock.Mock()
+        transport_class(
+            host="squid.clam.whelk",
+            credentials=cred,
+            ssl_channel_credentials=mock_ssl_channel_creds
+        )
+        mock_create_channel.assert_called_once_with(
+            "squid.clam.whelk:443",
+            credentials=cred,
+            credentials_file=None,
+            scopes=None,
+            ssl_credentials=mock_ssl_channel_creds,
+            quota_project_id=None,
+            options=[
+                ("grpc.max_send_message_length", -1),
+                ("grpc.max_receive_message_length", -1),
+            ],
+        )
+
+    # Check if ssl_channel_credentials is not provided, then client_cert_source_for_mtls
+    # is used.
+    with mock.patch.object(transport_class, "create_channel", return_value=mock.Mock()):
+        with mock.patch("grpc.ssl_channel_credentials") as mock_ssl_cred:
+            transport_class(
+                credentials=cred,
+                client_cert_source_for_mtls=client_cert_source_callback
+            )
+            expected_cert, expected_key = client_cert_source_callback()
+            mock_ssl_cred.assert_called_once_with(
+                certificate_chain=expected_cert,
+                private_key=expected_key
+            )
+
+
+@pytest.mark.parametrize("transport_name", [
+    "grpc",
+    "grpc_asyncio",
+])
+def test_data_scan_service_host_no_port(transport_name):
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        client_options=client_options.ClientOptions(api_endpoint='dataplex.googleapis.com'),
+         transport=transport_name,
+    )
+    assert client.transport._host == (
+        'dataplex.googleapis.com:443'
+    )
+
+@pytest.mark.parametrize("transport_name", [
+    "grpc",
+    "grpc_asyncio",
+])
+def test_data_scan_service_host_with_port(transport_name):
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        client_options=client_options.ClientOptions(api_endpoint='dataplex.googleapis.com:8000'),
+        transport=transport_name,
+    )
+    assert client.transport._host == (
+        'dataplex.googleapis.com:8000'
+    )
+
+def test_data_scan_service_grpc_transport_channel():
+    channel = grpc.secure_channel('http://localhost/', grpc.local_channel_credentials())
+
+    # Check that channel is used if provided.
+    transport = transports.DataScanServiceGrpcTransport(
+        host="squid.clam.whelk",
+        channel=channel,
+    )
+    assert transport.grpc_channel == channel
+    assert transport._host == "squid.clam.whelk:443"
+    assert transport._ssl_channel_credentials == None
+
+
+def test_data_scan_service_grpc_asyncio_transport_channel():
+    channel = aio.secure_channel('http://localhost/', grpc.local_channel_credentials())
+
+    # Check that channel is used if provided.
+    transport = transports.DataScanServiceGrpcAsyncIOTransport(
+        host="squid.clam.whelk",
+        channel=channel,
+    )
+    assert transport.grpc_channel == channel
+    assert transport._host == "squid.clam.whelk:443"
+    assert transport._ssl_channel_credentials == None
+
+
+# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are
+# removed from grpc/grpc_asyncio transport constructor.
+@pytest.mark.parametrize("transport_class", [transports.DataScanServiceGrpcTransport, transports.DataScanServiceGrpcAsyncIOTransport])
+def test_data_scan_service_transport_channel_mtls_with_client_cert_source(
+    transport_class
+):
+    with mock.patch("grpc.ssl_channel_credentials", autospec=True) as grpc_ssl_channel_cred:
+        with mock.patch.object(transport_class, "create_channel") as grpc_create_channel:
+            mock_ssl_cred = mock.Mock()
+            grpc_ssl_channel_cred.return_value = mock_ssl_cred
+
+            mock_grpc_channel = mock.Mock()
+            grpc_create_channel.return_value = mock_grpc_channel
+
+            cred = ga_credentials.AnonymousCredentials()
+            with pytest.warns(DeprecationWarning):
+                with mock.patch.object(google.auth, 'default') as adc:
+                    adc.return_value = (cred, None)
+                    transport = transport_class(
+                        host="squid.clam.whelk",
+                        api_mtls_endpoint="mtls.squid.clam.whelk",
+                        client_cert_source=client_cert_source_callback,
+                    )
+                    adc.assert_called_once()
+
+            grpc_ssl_channel_cred.assert_called_once_with(
+                certificate_chain=b"cert bytes", private_key=b"key bytes"
+            )
+            grpc_create_channel.assert_called_once_with(
+                "mtls.squid.clam.whelk:443",
+                credentials=cred,
+                credentials_file=None,
+                scopes=None,
+                ssl_credentials=mock_ssl_cred,
+                quota_project_id=None,
+                options=[
+                    ("grpc.max_send_message_length", -1),
+                    ("grpc.max_receive_message_length", -1),
+                ],
+            )
+            assert transport.grpc_channel == mock_grpc_channel
+            assert transport._ssl_channel_credentials == mock_ssl_cred
+
+
+# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are
+# removed from grpc/grpc_asyncio transport constructor.
+@pytest.mark.parametrize("transport_class", [transports.DataScanServiceGrpcTransport, transports.DataScanServiceGrpcAsyncIOTransport])
+def test_data_scan_service_transport_channel_mtls_with_adc(
+    transport_class
+):
+    mock_ssl_cred = mock.Mock()
+    with mock.patch.multiple(
+        "google.auth.transport.grpc.SslCredentials",
+        __init__=mock.Mock(return_value=None),
+        ssl_credentials=mock.PropertyMock(return_value=mock_ssl_cred),
+    ):
+        with mock.patch.object(transport_class, "create_channel") as grpc_create_channel:
+            mock_grpc_channel = mock.Mock()
+            grpc_create_channel.return_value = mock_grpc_channel
+            mock_cred = mock.Mock()
+
+            with pytest.warns(DeprecationWarning):
+                transport = transport_class(
+                    host="squid.clam.whelk",
+                    credentials=mock_cred,
+                    api_mtls_endpoint="mtls.squid.clam.whelk",
+                    client_cert_source=None,
+                )
+
+            grpc_create_channel.assert_called_once_with(
+                "mtls.squid.clam.whelk:443",
+                credentials=mock_cred,
+                credentials_file=None,
+                scopes=None,
+                ssl_credentials=mock_ssl_cred,
+                quota_project_id=None,
+                options=[
+                    ("grpc.max_send_message_length", -1),
+                    ("grpc.max_receive_message_length", -1),
+                ],
+            )
+            assert transport.grpc_channel == mock_grpc_channel
+
+
+def test_data_scan_service_grpc_lro_client():
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+    transport = client.transport
+
+    # Ensure that we have a api-core operations client.
+    assert isinstance(
+        transport.operations_client,
+        operations_v1.OperationsClient,
+    )
+
+    # Ensure that subsequent calls to the property send the exact same object.
+    assert transport.operations_client is transport.operations_client
+
+
+def test_data_scan_service_grpc_lro_async_client():
+    client = DataScanServiceAsyncClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc_asyncio',
+    )
+    transport = client.transport
+
+    # Ensure that we have a api-core operations client.
+    assert isinstance(
+        transport.operations_client,
+        operations_v1.OperationsAsyncClient,
+    )
+
+    # Ensure that subsequent calls to the property send the exact same object.
+    assert transport.operations_client is transport.operations_client
+
+
+def test_connection_path():
+    project = "squid"
+    location = "clam"
+    connection = "whelk"
+    expected = "projects/{project}/locations/{location}/connections/{connection}".format(project=project, location=location, connection=connection, )
+    actual = DataScanServiceClient.connection_path(project, location, connection)
+    assert expected == actual
+
+
+def test_parse_connection_path():
+    expected = {
+        "project": "octopus",
+        "location": "oyster",
+        "connection": "nudibranch",
+    }
+    path = DataScanServiceClient.connection_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = DataScanServiceClient.parse_connection_path(path)
+    assert expected == actual
+
+def test_data_scan_path():
+    project = "cuttlefish"
+    location = "mussel"
+    dataScan = "winkle"
+    expected = "projects/{project}/locations/{location}/dataScans/{dataScan}".format(project=project, location=location, dataScan=dataScan, )
+    actual = DataScanServiceClient.data_scan_path(project, location, dataScan)
+    assert expected == actual
+
+
+def test_parse_data_scan_path():
+    expected = {
+        "project": "nautilus",
+        "location": "scallop",
+        "dataScan": "abalone",
+    }
+    path = DataScanServiceClient.data_scan_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = DataScanServiceClient.parse_data_scan_path(path)
+    assert expected == actual
+
+def test_data_scan_job_path():
+    project = "squid"
+    location = "clam"
+    dataScan = "whelk"
+    job = "octopus"
+    expected = "projects/{project}/locations/{location}/dataScans/{dataScan}/jobs/{job}".format(project=project, location=location, dataScan=dataScan, job=job, )
+    actual = DataScanServiceClient.data_scan_job_path(project, location, dataScan, job)
+    assert expected == actual
+
+
+def test_parse_data_scan_job_path():
+    expected = {
+        "project": "oyster",
+        "location": "nudibranch",
+        "dataScan": "cuttlefish",
+        "job": "mussel",
+    }
+    path = DataScanServiceClient.data_scan_job_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = DataScanServiceClient.parse_data_scan_job_path(path)
+    assert expected == actual
+
+def test_dataset_path():
+    project = "winkle"
+    dataset = "nautilus"
+    expected = "projects/{project}/datasets/{dataset}".format(project=project, dataset=dataset, )
+    actual = DataScanServiceClient.dataset_path(project, dataset)
+    assert expected == actual
+
+
+def test_parse_dataset_path():
+    expected = {
+        "project": "scallop",
+        "dataset": "abalone",
+    }
+    path = DataScanServiceClient.dataset_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = DataScanServiceClient.parse_dataset_path(path)
+    assert expected == actual
+
+def test_entity_path():
+    project = "squid"
+    location = "clam"
+    lake = "whelk"
+    zone = "octopus"
+    entity = "oyster"
+    expected = "projects/{project}/locations/{location}/lakes/{lake}/zones/{zone}/entities/{entity}".format(project=project, location=location, lake=lake, zone=zone, entity=entity, )
+    actual = DataScanServiceClient.entity_path(project, location, lake, zone, entity)
+    assert expected == actual
+
+
+def test_parse_entity_path():
+    expected = {
+        "project": "nudibranch",
+        "location": "cuttlefish",
+        "lake": "mussel",
+        "zone": "winkle",
+        "entity": "nautilus",
+    }
+    path = DataScanServiceClient.entity_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = DataScanServiceClient.parse_entity_path(path)
+    assert expected == actual
+
+def test_common_billing_account_path():
+    billing_account = "scallop"
+    expected = "billingAccounts/{billing_account}".format(billing_account=billing_account, )
+    actual = DataScanServiceClient.common_billing_account_path(billing_account)
+    assert expected == actual
+
+
+def test_parse_common_billing_account_path():
+    expected = {
+        "billing_account": "abalone",
+    }
+    path = DataScanServiceClient.common_billing_account_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = DataScanServiceClient.parse_common_billing_account_path(path)
+    assert expected == actual
+
+def test_common_folder_path():
+    folder = "squid"
+    expected = "folders/{folder}".format(folder=folder, )
+    actual = DataScanServiceClient.common_folder_path(folder)
+    assert expected == actual
+
+
+def test_parse_common_folder_path():
+    expected = {
+        "folder": "clam",
+    }
+    path = DataScanServiceClient.common_folder_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = DataScanServiceClient.parse_common_folder_path(path)
+    assert expected == actual
+
+def test_common_organization_path():
+    organization = "whelk"
+    expected = "organizations/{organization}".format(organization=organization, )
+    actual = DataScanServiceClient.common_organization_path(organization)
+    assert expected == actual
+
+
+def test_parse_common_organization_path():
+    expected = {
+        "organization": "octopus",
+    }
+    path = DataScanServiceClient.common_organization_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = DataScanServiceClient.parse_common_organization_path(path)
+    assert expected == actual
+
+def test_common_project_path():
+    project = "oyster"
+    expected = "projects/{project}".format(project=project, )
+    actual = DataScanServiceClient.common_project_path(project)
+    assert expected == actual
+
+
+def test_parse_common_project_path():
+    expected = {
+        "project": "nudibranch",
+    }
+    path = DataScanServiceClient.common_project_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = DataScanServiceClient.parse_common_project_path(path)
+    assert expected == actual
+
+def test_common_location_path():
+    project = "cuttlefish"
+    location = "mussel"
+    expected = "projects/{project}/locations/{location}".format(project=project, location=location, )
+    actual = DataScanServiceClient.common_location_path(project, location)
+    assert expected == actual
+
+
+def test_parse_common_location_path():
+    expected = {
+        "project": "winkle",
+        "location": "nautilus",
+    }
+    path = DataScanServiceClient.common_location_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = DataScanServiceClient.parse_common_location_path(path)
+    assert expected == actual
+
+
+def test_client_with_default_client_info():
+    client_info = gapic_v1.client_info.ClientInfo()
+
+    with mock.patch.object(transports.DataScanServiceTransport, '_prep_wrapped_messages') as prep:
+        client = DataScanServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            client_info=client_info,
+        )
+        prep.assert_called_once_with(client_info)
+
+    with mock.patch.object(transports.DataScanServiceTransport, '_prep_wrapped_messages') as prep:
+        transport_class = DataScanServiceClient.get_transport_class()
+        transport = transport_class(
+            credentials=ga_credentials.AnonymousCredentials(),
+            client_info=client_info,
+        )
+        prep.assert_called_once_with(client_info)
+
+
+def test_delete_operation(transport: str = "grpc"):
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.DeleteOperationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = None
+        response = client.delete_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert response is None
+@pytest.mark.asyncio
+async def test_delete_operation_async(transport: str = "grpc_asyncio"):
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.DeleteOperationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            None
+        )
+        response = await client.delete_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert response is None
+
+def test_delete_operation_field_headers():
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.DeleteOperationRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
+        call.return_value =  None
+
+        client.delete_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+@pytest.mark.asyncio
+async def test_delete_operation_field_headers_async():
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.DeleteOperationRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            None
+        )
+        await client.delete_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+
+def test_delete_operation_from_dict():
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = None
+
+        response = client.delete_operation(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+@pytest.mark.asyncio
+async def test_delete_operation_from_dict_async():
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            None
+        )
+        response = await client.delete_operation(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+
+
+def test_cancel_operation(transport: str = "grpc"):
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.CancelOperationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = None
+        response = client.cancel_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert response is None
+@pytest.mark.asyncio
+async def test_cancel_operation_async(transport: str = "grpc_asyncio"):
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.CancelOperationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            None
+        )
+        response = await client.cancel_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert response is None
+
+def test_cancel_operation_field_headers():
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.CancelOperationRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
+        call.return_value =  None
+
+        client.cancel_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+@pytest.mark.asyncio
+async def test_cancel_operation_field_headers_async():
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.CancelOperationRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            None
+        )
+        await client.cancel_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+
+def test_cancel_operation_from_dict():
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = None
+
+        response = client.cancel_operation(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+@pytest.mark.asyncio
+async def test_cancel_operation_from_dict_async():
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            None
+        )
+        response = await client.cancel_operation(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+
+
+def test_get_operation(transport: str = "grpc"):
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.GetOperationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation()
+        response = client.get_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, operations_pb2.Operation)
+@pytest.mark.asyncio
+async def test_get_operation_async(transport: str = "grpc_asyncio"):
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.GetOperationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation()
+        )
+        response = await client.get_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, operations_pb2.Operation)
+
+def test_get_operation_field_headers():
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.GetOperationRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
+        call.return_value = operations_pb2.Operation()
+
+        client.get_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+@pytest.mark.asyncio
+async def test_get_operation_field_headers_async():
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.GetOperationRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation()
+        )
+        await client.get_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+
+def test_get_operation_from_dict():
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation()
+
+        response = client.get_operation(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+@pytest.mark.asyncio
+async def test_get_operation_from_dict_async():
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation()
+        )
+        response = await client.get_operation(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+
+
+def test_list_operations(transport: str = "grpc"):
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.ListOperationsRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.ListOperationsResponse()
+        response = client.list_operations(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, operations_pb2.ListOperationsResponse)
+@pytest.mark.asyncio
+async def test_list_operations_async(transport: str = "grpc_asyncio"):
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.ListOperationsRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.ListOperationsResponse()
+        )
+        response = await client.list_operations(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, operations_pb2.ListOperationsResponse)
+
+def test_list_operations_field_headers():
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.ListOperationsRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
+        call.return_value = operations_pb2.ListOperationsResponse()
+
+        client.list_operations(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+@pytest.mark.asyncio
+async def test_list_operations_field_headers_async():
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.ListOperationsRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.ListOperationsResponse()
+        )
+        await client.list_operations(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+
+def test_list_operations_from_dict():
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.ListOperationsResponse()
+
+        response = client.list_operations(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+@pytest.mark.asyncio
+async def test_list_operations_from_dict_async():
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.ListOperationsResponse()
+        )
+        response = await client.list_operations(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+
+
+def test_list_locations(transport: str = "grpc"):
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = locations_pb2.ListLocationsRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = locations_pb2.ListLocationsResponse()
+        response = client.list_locations(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, locations_pb2.ListLocationsResponse)
+@pytest.mark.asyncio
+async def test_list_locations_async(transport: str = "grpc_asyncio"):
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = locations_pb2.ListLocationsRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            locations_pb2.ListLocationsResponse()
+        )
+        response = await client.list_locations(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, locations_pb2.ListLocationsResponse)
+
+def test_list_locations_field_headers():
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = locations_pb2.ListLocationsRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
+        call.return_value = locations_pb2.ListLocationsResponse()
+
+        client.list_locations(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+@pytest.mark.asyncio
+async def test_list_locations_field_headers_async():
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = locations_pb2.ListLocationsRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            locations_pb2.ListLocationsResponse()
+        )
+        await client.list_locations(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+
+def test_list_locations_from_dict():
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = locations_pb2.ListLocationsResponse()
+
+        response = client.list_locations(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+@pytest.mark.asyncio
+async def test_list_locations_from_dict_async():
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            locations_pb2.ListLocationsResponse()
+        )
+        response = await client.list_locations(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+
+
+def test_get_location(transport: str = "grpc"):
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = locations_pb2.GetLocationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_location), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = locations_pb2.Location()
+        response = client.get_location(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, locations_pb2.Location)
+@pytest.mark.asyncio
+async def test_get_location_async(transport: str = "grpc_asyncio"):
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = locations_pb2.GetLocationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_location), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            locations_pb2.Location()
+        )
+        response = await client.get_location(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, locations_pb2.Location)
+
+def test_get_location_field_headers():
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials())
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = locations_pb2.GetLocationRequest()
+    request.name = "locations/abc"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_location), "__call__") as call:
+        call.return_value = locations_pb2.Location()
+
+        client.get_location(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations/abc",) in kw["metadata"]
+@pytest.mark.asyncio
+async def test_get_location_field_headers_async():
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials()
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = locations_pb2.GetLocationRequest()
+    request.name = "locations/abc"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_location), "__call__") as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            locations_pb2.Location()
+        )
+        await client.get_location(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations/abc",) in kw["metadata"]
+
+def test_get_location_from_dict():
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = locations_pb2.Location()
+
+        response = client.get_location(
+            request={
+                "name": "locations/abc",
+            }
+        )
+        call.assert_called()
+@pytest.mark.asyncio
+async def test_get_location_from_dict_async():
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            locations_pb2.Location()
+        )
+        response = await client.get_location(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+
+
+def test_transport_close_grpc():
+    client = DataScanServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc"
+    )
+    with mock.patch.object(type(getattr(client.transport, "_grpc_channel")), "close") as close:
+        with client:
+            close.assert_not_called()
+        close.assert_called_once()
+
+
+@pytest.mark.asyncio
+async def test_transport_close_grpc_asyncio():
+    client = DataScanServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio"
+    )
+    with mock.patch.object(type(getattr(client.transport, "_grpc_channel")), "close") as close:
+        async with client:
+            close.assert_not_called()
+        close.assert_called_once()
+
+
+def test_client_ctx():
+    transports = [
+        'grpc',
+    ]
+    for transport in transports:
+        client = DataScanServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport=transport
+        )
+        # Test client calls underlying transport.
+        with mock.patch.object(type(client.transport), "close") as close:
+            close.assert_not_called()
+            with client:
+                pass
+            close.assert_called()
+
+@pytest.mark.parametrize("client_class,transport_class", [
+    (DataScanServiceClient, transports.DataScanServiceGrpcTransport),
+    (DataScanServiceAsyncClient, transports.DataScanServiceGrpcAsyncIOTransport),
+])
+def test_api_key_credentials(client_class, transport_class):
+    with mock.patch.object(
+        google.auth._default, "get_api_key_credentials", create=True
+    ) as get_api_key_credentials:
+        mock_cred = mock.Mock()
+        get_api_key_credentials.return_value = mock_cred
+        options = client_options.ClientOptions()
+        options.api_key = "api_key"
+        with mock.patch.object(transport_class, "__init__") as patched:
+            patched.return_value = None
+            client = client_class(client_options=options)
+            patched.assert_called_once_with(
+                credentials=mock_cred,
+                credentials_file=None,
+                host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
+                scopes=None,
+                client_cert_source_for_mtls=None,
+                quota_project_id=None,
+                client_info=transports.base.DEFAULT_CLIENT_INFO,
+                always_use_jwt_access=True,
+                api_audience=None,
+            )
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/tests/unit/gapic/dataplex_v1/test_data_taxonomy_service.py b/owl-bot-staging/google-cloud-dataplex/v1/tests/unit/gapic/dataplex_v1/test_data_taxonomy_service.py
new file mode 100644
index 000000000000..9ef5ff03519d
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/tests/unit/gapic/dataplex_v1/test_data_taxonomy_service.py
@@ -0,0 +1,8505 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+import os
+# try/except added for compatibility with python < 3.8
+try:
+    from unittest import mock
+    from unittest.mock import AsyncMock  # pragma: NO COVER
+except ImportError:  # pragma: NO COVER
+    import mock
+
+import grpc
+from grpc.experimental import aio
+import math
+import pytest
+from google.api_core import api_core_version
+from proto.marshal.rules.dates import DurationRule, TimestampRule
+from proto.marshal.rules import wrappers
+
+try:
+    from google.auth.aio import credentials as ga_credentials_async
+    HAS_GOOGLE_AUTH_AIO = True
+except ImportError: # pragma: NO COVER
+    HAS_GOOGLE_AUTH_AIO = False
+
+from google.api_core import client_options
+from google.api_core import exceptions as core_exceptions
+from google.api_core import future
+from google.api_core import gapic_v1
+from google.api_core import grpc_helpers
+from google.api_core import grpc_helpers_async
+from google.api_core import operation
+from google.api_core import operation_async  # type: ignore
+from google.api_core import operations_v1
+from google.api_core import path_template
+from google.api_core import retry as retries
+from google.auth import credentials as ga_credentials
+from google.auth.exceptions import MutualTLSChannelError
+from google.cloud.dataplex_v1.services.data_taxonomy_service import DataTaxonomyServiceAsyncClient
+from google.cloud.dataplex_v1.services.data_taxonomy_service import DataTaxonomyServiceClient
+from google.cloud.dataplex_v1.services.data_taxonomy_service import pagers
+from google.cloud.dataplex_v1.services.data_taxonomy_service import transports
+from google.cloud.dataplex_v1.types import data_taxonomy
+from google.cloud.dataplex_v1.types import data_taxonomy as gcd_data_taxonomy
+from google.cloud.dataplex_v1.types import security
+from google.cloud.dataplex_v1.types import service
+from google.cloud.location import locations_pb2
+from google.iam.v1 import iam_policy_pb2  # type: ignore
+from google.iam.v1 import options_pb2  # type: ignore
+from google.iam.v1 import policy_pb2  # type: ignore
+from google.longrunning import operations_pb2 # type: ignore
+from google.oauth2 import service_account
+from google.protobuf import empty_pb2  # type: ignore
+from google.protobuf import field_mask_pb2  # type: ignore
+from google.protobuf import timestamp_pb2  # type: ignore
+import google.auth
+
+
+async def mock_async_gen(data, chunk_size=1):
+    for i in range(0, len(data)):  # pragma: NO COVER
+        chunk = data[i : i + chunk_size]
+        yield chunk.encode("utf-8")
+
+def client_cert_source_callback():
+    return b"cert bytes", b"key bytes"
+
+# TODO: use async auth anon credentials by default once the minimum version of google-auth is upgraded.
+# See related issue: https://github.com/googleapis/gapic-generator-python/issues/2107.
+def async_anonymous_credentials():
+    if HAS_GOOGLE_AUTH_AIO:
+        return ga_credentials_async.AnonymousCredentials()
+    return ga_credentials.AnonymousCredentials()
+
+# If default endpoint is localhost, then default mtls endpoint will be the same.
+# This method modifies the default endpoint so the client can produce a different
+# mtls endpoint for endpoint testing purposes.
+def modify_default_endpoint(client):
+    return "foo.googleapis.com" if ("localhost" in client.DEFAULT_ENDPOINT) else client.DEFAULT_ENDPOINT
+
+# If default endpoint template is localhost, then default mtls endpoint will be the same.
+# This method modifies the default endpoint template so the client can produce a different
+# mtls endpoint for endpoint testing purposes.
+def modify_default_endpoint_template(client):
+    return "test.{UNIVERSE_DOMAIN}" if ("localhost" in client._DEFAULT_ENDPOINT_TEMPLATE) else client._DEFAULT_ENDPOINT_TEMPLATE
+
+
+def test__get_default_mtls_endpoint():
+    api_endpoint = "example.googleapis.com"
+    api_mtls_endpoint = "example.mtls.googleapis.com"
+    sandbox_endpoint = "example.sandbox.googleapis.com"
+    sandbox_mtls_endpoint = "example.mtls.sandbox.googleapis.com"
+    non_googleapi = "api.example.com"
+
+    assert DataTaxonomyServiceClient._get_default_mtls_endpoint(None) is None
+    assert DataTaxonomyServiceClient._get_default_mtls_endpoint(api_endpoint) == api_mtls_endpoint
+    assert DataTaxonomyServiceClient._get_default_mtls_endpoint(api_mtls_endpoint) == api_mtls_endpoint
+    assert DataTaxonomyServiceClient._get_default_mtls_endpoint(sandbox_endpoint) == sandbox_mtls_endpoint
+    assert DataTaxonomyServiceClient._get_default_mtls_endpoint(sandbox_mtls_endpoint) == sandbox_mtls_endpoint
+    assert DataTaxonomyServiceClient._get_default_mtls_endpoint(non_googleapi) == non_googleapi
+
+def test__read_environment_variables():
+    assert DataTaxonomyServiceClient._read_environment_variables() == (False, "auto", None)
+
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
+        assert DataTaxonomyServiceClient._read_environment_variables() == (True, "auto", None)
+
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "false"}):
+        assert DataTaxonomyServiceClient._read_environment_variables() == (False, "auto", None)
+
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}):
+        with pytest.raises(ValueError) as excinfo:
+            DataTaxonomyServiceClient._read_environment_variables()
+    assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`"
+
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
+        assert DataTaxonomyServiceClient._read_environment_variables() == (False, "never", None)
+
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
+        assert DataTaxonomyServiceClient._read_environment_variables() == (False, "always", None)
+
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "auto"}):
+        assert DataTaxonomyServiceClient._read_environment_variables() == (False, "auto", None)
+
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}):
+        with pytest.raises(MutualTLSChannelError) as excinfo:
+            DataTaxonomyServiceClient._read_environment_variables()
+    assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`"
+
+    with mock.patch.dict(os.environ, {"GOOGLE_CLOUD_UNIVERSE_DOMAIN": "foo.com"}):
+        assert DataTaxonomyServiceClient._read_environment_variables() == (False, "auto", "foo.com")
+
+def test__get_client_cert_source():
+    mock_provided_cert_source = mock.Mock()
+    mock_default_cert_source = mock.Mock()
+
+    assert DataTaxonomyServiceClient._get_client_cert_source(None, False) is None
+    assert DataTaxonomyServiceClient._get_client_cert_source(mock_provided_cert_source, False) is None
+    assert DataTaxonomyServiceClient._get_client_cert_source(mock_provided_cert_source, True) == mock_provided_cert_source
+
+    with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True):
+        with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=mock_default_cert_source):
+            assert DataTaxonomyServiceClient._get_client_cert_source(None, True) is mock_default_cert_source
+            assert DataTaxonomyServiceClient._get_client_cert_source(mock_provided_cert_source, "true") is mock_provided_cert_source
+
+@mock.patch.object(DataTaxonomyServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DataTaxonomyServiceClient))
+@mock.patch.object(DataTaxonomyServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DataTaxonomyServiceAsyncClient))
+def test__get_api_endpoint():
+    api_override = "foo.com"
+    mock_client_cert_source = mock.Mock()
+    default_universe = DataTaxonomyServiceClient._DEFAULT_UNIVERSE
+    default_endpoint = DataTaxonomyServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=default_universe)
+    mock_universe = "bar.com"
+    mock_endpoint = DataTaxonomyServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=mock_universe)
+
+    assert DataTaxonomyServiceClient._get_api_endpoint(api_override, mock_client_cert_source, default_universe, "always") == api_override
+    assert DataTaxonomyServiceClient._get_api_endpoint(None, mock_client_cert_source, default_universe, "auto") == DataTaxonomyServiceClient.DEFAULT_MTLS_ENDPOINT
+    assert DataTaxonomyServiceClient._get_api_endpoint(None, None, default_universe, "auto") == default_endpoint
+    assert DataTaxonomyServiceClient._get_api_endpoint(None, None, default_universe, "always") == DataTaxonomyServiceClient.DEFAULT_MTLS_ENDPOINT
+    assert DataTaxonomyServiceClient._get_api_endpoint(None, mock_client_cert_source, default_universe, "always") == DataTaxonomyServiceClient.DEFAULT_MTLS_ENDPOINT
+    assert DataTaxonomyServiceClient._get_api_endpoint(None, None, mock_universe, "never") == mock_endpoint
+    assert DataTaxonomyServiceClient._get_api_endpoint(None, None, default_universe, "never") == default_endpoint
+
+    with pytest.raises(MutualTLSChannelError) as excinfo:
+        DataTaxonomyServiceClient._get_api_endpoint(None, mock_client_cert_source, mock_universe, "auto")
+    assert str(excinfo.value) == "mTLS is not supported in any universe other than googleapis.com."
+
+
+def test__get_universe_domain():
+    client_universe_domain = "foo.com"
+    universe_domain_env = "bar.com"
+
+    assert DataTaxonomyServiceClient._get_universe_domain(client_universe_domain, universe_domain_env) == client_universe_domain
+    assert DataTaxonomyServiceClient._get_universe_domain(None, universe_domain_env) == universe_domain_env
+    assert DataTaxonomyServiceClient._get_universe_domain(None, None) == DataTaxonomyServiceClient._DEFAULT_UNIVERSE
+
+    with pytest.raises(ValueError) as excinfo:
+        DataTaxonomyServiceClient._get_universe_domain("", None)
+    assert str(excinfo.value) == "Universe Domain cannot be an empty string."
+
+
+@pytest.mark.parametrize("client_class,transport_name", [
+    (DataTaxonomyServiceClient, "grpc"),
+    (DataTaxonomyServiceAsyncClient, "grpc_asyncio"),
+])
+def test_data_taxonomy_service_client_from_service_account_info(client_class, transport_name):
+    creds = ga_credentials.AnonymousCredentials()
+    with mock.patch.object(service_account.Credentials, 'from_service_account_info') as factory:
+        factory.return_value = creds
+        info = {"valid": True}
+        client = client_class.from_service_account_info(info, transport=transport_name)
+        assert client.transport._credentials == creds
+        assert isinstance(client, client_class)
+
+        assert client.transport._host == (
+            'dataplex.googleapis.com:443'
+        )
+
+
+@pytest.mark.parametrize("transport_class,transport_name", [
+    (transports.DataTaxonomyServiceGrpcTransport, "grpc"),
+    (transports.DataTaxonomyServiceGrpcAsyncIOTransport, "grpc_asyncio"),
+])
+def test_data_taxonomy_service_client_service_account_always_use_jwt(transport_class, transport_name):
+    with mock.patch.object(service_account.Credentials, 'with_always_use_jwt_access', create=True) as use_jwt:
+        creds = service_account.Credentials(None, None, None)
+        transport = transport_class(credentials=creds, always_use_jwt_access=True)
+        use_jwt.assert_called_once_with(True)
+
+    with mock.patch.object(service_account.Credentials, 'with_always_use_jwt_access', create=True) as use_jwt:
+        creds = service_account.Credentials(None, None, None)
+        transport = transport_class(credentials=creds, always_use_jwt_access=False)
+        use_jwt.assert_not_called()
+
+
+@pytest.mark.parametrize("client_class,transport_name", [
+    (DataTaxonomyServiceClient, "grpc"),
+    (DataTaxonomyServiceAsyncClient, "grpc_asyncio"),
+])
+def test_data_taxonomy_service_client_from_service_account_file(client_class, transport_name):
+    creds = ga_credentials.AnonymousCredentials()
+    with mock.patch.object(service_account.Credentials, 'from_service_account_file') as factory:
+        factory.return_value = creds
+        client = client_class.from_service_account_file("dummy/file/path.json", transport=transport_name)
+        assert client.transport._credentials == creds
+        assert isinstance(client, client_class)
+
+        client = client_class.from_service_account_json("dummy/file/path.json", transport=transport_name)
+        assert client.transport._credentials == creds
+        assert isinstance(client, client_class)
+
+        assert client.transport._host == (
+            'dataplex.googleapis.com:443'
+        )
+
+
+def test_data_taxonomy_service_client_get_transport_class():
+    transport = DataTaxonomyServiceClient.get_transport_class()
+    available_transports = [
+        transports.DataTaxonomyServiceGrpcTransport,
+    ]
+    assert transport in available_transports
+
+    transport = DataTaxonomyServiceClient.get_transport_class("grpc")
+    assert transport == transports.DataTaxonomyServiceGrpcTransport
+
+
+@pytest.mark.parametrize("client_class,transport_class,transport_name", [
+    (DataTaxonomyServiceClient, transports.DataTaxonomyServiceGrpcTransport, "grpc"),
+    (DataTaxonomyServiceAsyncClient, transports.DataTaxonomyServiceGrpcAsyncIOTransport, "grpc_asyncio"),
+])
+@mock.patch.object(DataTaxonomyServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DataTaxonomyServiceClient))
+@mock.patch.object(DataTaxonomyServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DataTaxonomyServiceAsyncClient))
+def test_data_taxonomy_service_client_client_options(client_class, transport_class, transport_name):
+    # Check that if channel is provided we won't create a new one.
+    with mock.patch.object(DataTaxonomyServiceClient, 'get_transport_class') as gtc:
+        transport = transport_class(
+            credentials=ga_credentials.AnonymousCredentials()
+        )
+        client = client_class(transport=transport)
+        gtc.assert_not_called()
+
+    # Check that if channel is provided via str we will create a new one.
+    with mock.patch.object(DataTaxonomyServiceClient, 'get_transport_class') as gtc:
+        client = client_class(transport=transport_name)
+        gtc.assert_called()
+
+    # Check the case api_endpoint is provided.
+    options = client_options.ClientOptions(api_endpoint="squid.clam.whelk")
+    with mock.patch.object(transport_class, '__init__') as patched:
+        patched.return_value = None
+        client = client_class(transport=transport_name, client_options=options)
+        patched.assert_called_once_with(
+            credentials=None,
+            credentials_file=None,
+            host="squid.clam.whelk",
+            scopes=None,
+            client_cert_source_for_mtls=None,
+            quota_project_id=None,
+            client_info=transports.base.DEFAULT_CLIENT_INFO,
+            always_use_jwt_access=True,
+            api_audience=None,
+        )
+
+    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is
+    # "never".
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
+        with mock.patch.object(transport_class, '__init__') as patched:
+            patched.return_value = None
+            client = client_class(transport=transport_name)
+            patched.assert_called_once_with(
+                credentials=None,
+                credentials_file=None,
+                host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
+                scopes=None,
+                client_cert_source_for_mtls=None,
+                quota_project_id=None,
+                client_info=transports.base.DEFAULT_CLIENT_INFO,
+                always_use_jwt_access=True,
+                api_audience=None,
+            )
+
+    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is
+    # "always".
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
+        with mock.patch.object(transport_class, '__init__') as patched:
+            patched.return_value = None
+            client = client_class(transport=transport_name)
+            patched.assert_called_once_with(
+                credentials=None,
+                credentials_file=None,
+                host=client.DEFAULT_MTLS_ENDPOINT,
+                scopes=None,
+                client_cert_source_for_mtls=None,
+                quota_project_id=None,
+                client_info=transports.base.DEFAULT_CLIENT_INFO,
+                always_use_jwt_access=True,
+                api_audience=None,
+            )
+
+    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT has
+    # unsupported value.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}):
+        with pytest.raises(MutualTLSChannelError) as excinfo:
+            client = client_class(transport=transport_name)
+    assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`"
+
+    # Check the case GOOGLE_API_USE_CLIENT_CERTIFICATE has unsupported value.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}):
+        with pytest.raises(ValueError) as excinfo:
+            client = client_class(transport=transport_name)
+    assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`"
+
+    # Check the case quota_project_id is provided
+    options = client_options.ClientOptions(quota_project_id="octopus")
+    with mock.patch.object(transport_class, '__init__') as patched:
+        patched.return_value = None
+        client = client_class(client_options=options, transport=transport_name)
+        patched.assert_called_once_with(
+            credentials=None,
+            credentials_file=None,
+            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
+            scopes=None,
+            client_cert_source_for_mtls=None,
+            quota_project_id="octopus",
+            client_info=transports.base.DEFAULT_CLIENT_INFO,
+            always_use_jwt_access=True,
+            api_audience=None,
+        )
+    # Check the case api_endpoint is provided
+    options = client_options.ClientOptions(api_audience="https://language.googleapis.com")
+    with mock.patch.object(transport_class, '__init__') as patched:
+        patched.return_value = None
+        client = client_class(client_options=options, transport=transport_name)
+        patched.assert_called_once_with(
+            credentials=None,
+            credentials_file=None,
+            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
+            scopes=None,
+            client_cert_source_for_mtls=None,
+            quota_project_id=None,
+            client_info=transports.base.DEFAULT_CLIENT_INFO,
+            always_use_jwt_access=True,
+            api_audience="https://language.googleapis.com"
+        )
+
+@pytest.mark.parametrize("client_class,transport_class,transport_name,use_client_cert_env", [
+    (DataTaxonomyServiceClient, transports.DataTaxonomyServiceGrpcTransport, "grpc", "true"),
+    (DataTaxonomyServiceAsyncClient, transports.DataTaxonomyServiceGrpcAsyncIOTransport, "grpc_asyncio", "true"),
+    (DataTaxonomyServiceClient, transports.DataTaxonomyServiceGrpcTransport, "grpc", "false"),
+    (DataTaxonomyServiceAsyncClient, transports.DataTaxonomyServiceGrpcAsyncIOTransport, "grpc_asyncio", "false"),
+])
+@mock.patch.object(DataTaxonomyServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DataTaxonomyServiceClient))
+@mock.patch.object(DataTaxonomyServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DataTaxonomyServiceAsyncClient))
+@mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "auto"})
+def test_data_taxonomy_service_client_mtls_env_auto(client_class, transport_class, transport_name, use_client_cert_env):
+    # This tests the endpoint autoswitch behavior. Endpoint is autoswitched to the default
+    # mtls endpoint, if GOOGLE_API_USE_CLIENT_CERTIFICATE is "true" and client cert exists.
+
+    # Check the case client_cert_source is provided. Whether client cert is used depends on
+    # GOOGLE_API_USE_CLIENT_CERTIFICATE value.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}):
+        options = client_options.ClientOptions(client_cert_source=client_cert_source_callback)
+        with mock.patch.object(transport_class, '__init__') as patched:
+            patched.return_value = None
+            client = client_class(client_options=options, transport=transport_name)
+
+            if use_client_cert_env == "false":
+                expected_client_cert_source = None
+                expected_host = client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE)
+            else:
+                expected_client_cert_source = client_cert_source_callback
+                expected_host = client.DEFAULT_MTLS_ENDPOINT
+
+            patched.assert_called_once_with(
+                credentials=None,
+                credentials_file=None,
+                host=expected_host,
+                scopes=None,
+                client_cert_source_for_mtls=expected_client_cert_source,
+                quota_project_id=None,
+                client_info=transports.base.DEFAULT_CLIENT_INFO,
+                always_use_jwt_access=True,
+                api_audience=None,
+            )
+
+    # Check the case ADC client cert is provided. Whether client cert is used depends on
+    # GOOGLE_API_USE_CLIENT_CERTIFICATE value.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}):
+        with mock.patch.object(transport_class, '__init__') as patched:
+            with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True):
+                with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=client_cert_source_callback):
+                    if use_client_cert_env == "false":
+                        expected_host = client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE)
+                        expected_client_cert_source = None
+                    else:
+                        expected_host = client.DEFAULT_MTLS_ENDPOINT
+                        expected_client_cert_source = client_cert_source_callback
+
+                    patched.return_value = None
+                    client = client_class(transport=transport_name)
+                    patched.assert_called_once_with(
+                        credentials=None,
+                        credentials_file=None,
+                        host=expected_host,
+                        scopes=None,
+                        client_cert_source_for_mtls=expected_client_cert_source,
+                        quota_project_id=None,
+                        client_info=transports.base.DEFAULT_CLIENT_INFO,
+                        always_use_jwt_access=True,
+                        api_audience=None,
+                    )
+
+    # Check the case client_cert_source and ADC client cert are not provided.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}):
+        with mock.patch.object(transport_class, '__init__') as patched:
+            with mock.patch("google.auth.transport.mtls.has_default_client_cert_source", return_value=False):
+                patched.return_value = None
+                client = client_class(transport=transport_name)
+                patched.assert_called_once_with(
+                    credentials=None,
+                    credentials_file=None,
+                    host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
+                    scopes=None,
+                    client_cert_source_for_mtls=None,
+                    quota_project_id=None,
+                    client_info=transports.base.DEFAULT_CLIENT_INFO,
+                    always_use_jwt_access=True,
+                    api_audience=None,
+                )
+
+
+@pytest.mark.parametrize("client_class", [
+    DataTaxonomyServiceClient, DataTaxonomyServiceAsyncClient
+])
+@mock.patch.object(DataTaxonomyServiceClient, "DEFAULT_ENDPOINT", modify_default_endpoint(DataTaxonomyServiceClient))
+@mock.patch.object(DataTaxonomyServiceAsyncClient, "DEFAULT_ENDPOINT", modify_default_endpoint(DataTaxonomyServiceAsyncClient))
+def test_data_taxonomy_service_client_get_mtls_endpoint_and_cert_source(client_class):
+    mock_client_cert_source = mock.Mock()
+
+    # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "true".
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
+        mock_api_endpoint = "foo"
+        options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint)
+        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(options)
+        assert api_endpoint == mock_api_endpoint
+        assert cert_source == mock_client_cert_source
+
+    # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "false".
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "false"}):
+        mock_client_cert_source = mock.Mock()
+        mock_api_endpoint = "foo"
+        options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint)
+        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(options)
+        assert api_endpoint == mock_api_endpoint
+        assert cert_source is None
+
+    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "never".
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
+        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
+        assert api_endpoint == client_class.DEFAULT_ENDPOINT
+        assert cert_source is None
+
+    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "always".
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
+        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
+        assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT
+        assert cert_source is None
+
+    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert doesn't exist.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
+        with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=False):
+            api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
+            assert api_endpoint == client_class.DEFAULT_ENDPOINT
+            assert cert_source is None
+
+    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert exists.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
+        with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True):
+            with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=mock_client_cert_source):
+                api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
+                assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT
+                assert cert_source == mock_client_cert_source
+
+    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT has
+    # unsupported value.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}):
+        with pytest.raises(MutualTLSChannelError) as excinfo:
+            client_class.get_mtls_endpoint_and_cert_source()
+
+        assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`"
+
+    # Check the case GOOGLE_API_USE_CLIENT_CERTIFICATE has unsupported value.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}):
+        with pytest.raises(ValueError) as excinfo:
+            client_class.get_mtls_endpoint_and_cert_source()
+
+        assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`"
+
+@pytest.mark.parametrize("client_class", [
+    DataTaxonomyServiceClient, DataTaxonomyServiceAsyncClient
+])
+@mock.patch.object(DataTaxonomyServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DataTaxonomyServiceClient))
+@mock.patch.object(DataTaxonomyServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DataTaxonomyServiceAsyncClient))
+def test_data_taxonomy_service_client_client_api_endpoint(client_class):
+    mock_client_cert_source = client_cert_source_callback
+    api_override = "foo.com"
+    default_universe = DataTaxonomyServiceClient._DEFAULT_UNIVERSE
+    default_endpoint = DataTaxonomyServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=default_universe)
+    mock_universe = "bar.com"
+    mock_endpoint = DataTaxonomyServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=mock_universe)
+
+    # If ClientOptions.api_endpoint is set and GOOGLE_API_USE_CLIENT_CERTIFICATE="true",
+    # use ClientOptions.api_endpoint as the api endpoint regardless.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
+        with mock.patch("google.auth.transport.requests.AuthorizedSession.configure_mtls_channel"):
+            options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=api_override)
+            client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials())
+            assert client.api_endpoint == api_override
+
+    # If ClientOptions.api_endpoint is not set and GOOGLE_API_USE_MTLS_ENDPOINT="never",
+    # use the _DEFAULT_ENDPOINT_TEMPLATE populated with GDU as the api endpoint.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
+        client = client_class(credentials=ga_credentials.AnonymousCredentials())
+        assert client.api_endpoint == default_endpoint
+
+    # If ClientOptions.api_endpoint is not set and GOOGLE_API_USE_MTLS_ENDPOINT="always",
+    # use the DEFAULT_MTLS_ENDPOINT as the api endpoint.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
+        client = client_class(credentials=ga_credentials.AnonymousCredentials())
+        assert client.api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT
+
+    # If ClientOptions.api_endpoint is not set, GOOGLE_API_USE_MTLS_ENDPOINT="auto" (default),
+    # GOOGLE_API_USE_CLIENT_CERTIFICATE="false" (default), default cert source doesn't exist,
+    # and ClientOptions.universe_domain="bar.com",
+    # use the _DEFAULT_ENDPOINT_TEMPLATE populated with universe domain as the api endpoint.
+    options = client_options.ClientOptions()
+    universe_exists = hasattr(options, "universe_domain")
+    if universe_exists:
+        options = client_options.ClientOptions(universe_domain=mock_universe)
+        client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials())
+    else:
+        client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials())
+    assert client.api_endpoint == (mock_endpoint if universe_exists else default_endpoint)
+    assert client.universe_domain == (mock_universe if universe_exists else default_universe)
+
+    # If ClientOptions does not have a universe domain attribute and GOOGLE_API_USE_MTLS_ENDPOINT="never",
+    # use the _DEFAULT_ENDPOINT_TEMPLATE populated with GDU as the api endpoint.
+    options = client_options.ClientOptions()
+    if hasattr(options, "universe_domain"):
+        delattr(options, "universe_domain")
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
+        client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials())
+        assert client.api_endpoint == default_endpoint
+
+
+@pytest.mark.parametrize("client_class,transport_class,transport_name", [
+    (DataTaxonomyServiceClient, transports.DataTaxonomyServiceGrpcTransport, "grpc"),
+    (DataTaxonomyServiceAsyncClient, transports.DataTaxonomyServiceGrpcAsyncIOTransport, "grpc_asyncio"),
+])
+def test_data_taxonomy_service_client_client_options_scopes(client_class, transport_class, transport_name):
+    # Check the case scopes are provided.
+    options = client_options.ClientOptions(
+        scopes=["1", "2"],
+    )
+    with mock.patch.object(transport_class, '__init__') as patched:
+        patched.return_value = None
+        client = client_class(client_options=options, transport=transport_name)
+        patched.assert_called_once_with(
+            credentials=None,
+            credentials_file=None,
+            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
+            scopes=["1", "2"],
+            client_cert_source_for_mtls=None,
+            quota_project_id=None,
+            client_info=transports.base.DEFAULT_CLIENT_INFO,
+            always_use_jwt_access=True,
+            api_audience=None,
+        )
+
+@pytest.mark.parametrize("client_class,transport_class,transport_name,grpc_helpers", [
+    (DataTaxonomyServiceClient, transports.DataTaxonomyServiceGrpcTransport, "grpc", grpc_helpers),
+    (DataTaxonomyServiceAsyncClient, transports.DataTaxonomyServiceGrpcAsyncIOTransport, "grpc_asyncio", grpc_helpers_async),
+])
+def test_data_taxonomy_service_client_client_options_credentials_file(client_class, transport_class, transport_name, grpc_helpers):
+    # Check the case credentials file is provided.
+    options = client_options.ClientOptions(
+        credentials_file="credentials.json"
+    )
+
+    with mock.patch.object(transport_class, '__init__') as patched:
+        patched.return_value = None
+        client = client_class(client_options=options, transport=transport_name)
+        patched.assert_called_once_with(
+            credentials=None,
+            credentials_file="credentials.json",
+            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
+            scopes=None,
+            client_cert_source_for_mtls=None,
+            quota_project_id=None,
+            client_info=transports.base.DEFAULT_CLIENT_INFO,
+            always_use_jwt_access=True,
+            api_audience=None,
+        )
+
+def test_data_taxonomy_service_client_client_options_from_dict():
+    with mock.patch('google.cloud.dataplex_v1.services.data_taxonomy_service.transports.DataTaxonomyServiceGrpcTransport.__init__') as grpc_transport:
+        grpc_transport.return_value = None
+        client = DataTaxonomyServiceClient(
+            client_options={'api_endpoint': 'squid.clam.whelk'}
+        )
+        grpc_transport.assert_called_once_with(
+            credentials=None,
+            credentials_file=None,
+            host="squid.clam.whelk",
+            scopes=None,
+            client_cert_source_for_mtls=None,
+            quota_project_id=None,
+            client_info=transports.base.DEFAULT_CLIENT_INFO,
+            always_use_jwt_access=True,
+            api_audience=None,
+        )
+
+
+@pytest.mark.parametrize("client_class,transport_class,transport_name,grpc_helpers", [
+    (DataTaxonomyServiceClient, transports.DataTaxonomyServiceGrpcTransport, "grpc", grpc_helpers),
+    (DataTaxonomyServiceAsyncClient, transports.DataTaxonomyServiceGrpcAsyncIOTransport, "grpc_asyncio", grpc_helpers_async),
+])
+def test_data_taxonomy_service_client_create_channel_credentials_file(client_class, transport_class, transport_name, grpc_helpers):
+    # Check the case credentials file is provided.
+    options = client_options.ClientOptions(
+        credentials_file="credentials.json"
+    )
+
+    with mock.patch.object(transport_class, '__init__') as patched:
+        patched.return_value = None
+        client = client_class(client_options=options, transport=transport_name)
+        patched.assert_called_once_with(
+            credentials=None,
+            credentials_file="credentials.json",
+            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
+            scopes=None,
+            client_cert_source_for_mtls=None,
+            quota_project_id=None,
+            client_info=transports.base.DEFAULT_CLIENT_INFO,
+            always_use_jwt_access=True,
+            api_audience=None,
+        )
+
+    # test that the credentials from file are saved and used as the credentials.
+    with mock.patch.object(
+        google.auth, "load_credentials_from_file", autospec=True
+    ) as load_creds, mock.patch.object(
+        google.auth, "default", autospec=True
+    ) as adc, mock.patch.object(
+        grpc_helpers, "create_channel"
+    ) as create_channel:
+        creds = ga_credentials.AnonymousCredentials()
+        file_creds = ga_credentials.AnonymousCredentials()
+        load_creds.return_value = (file_creds, None)
+        adc.return_value = (creds, None)
+        client = client_class(client_options=options, transport=transport_name)
+        create_channel.assert_called_with(
+            "dataplex.googleapis.com:443",
+            credentials=file_creds,
+            credentials_file=None,
+            quota_project_id=None,
+            default_scopes=(
+                'https://www.googleapis.com/auth/cloud-platform',
+),
+            scopes=None,
+            default_host="dataplex.googleapis.com",
+            ssl_credentials=None,
+            options=[
+                ("grpc.max_send_message_length", -1),
+                ("grpc.max_receive_message_length", -1),
+            ],
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  gcd_data_taxonomy.CreateDataTaxonomyRequest,
+  dict,
+])
+def test_create_data_taxonomy(request_type, transport: str = 'grpc'):
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_data_taxonomy),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/spam')
+        response = client.create_data_taxonomy(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = gcd_data_taxonomy.CreateDataTaxonomyRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+def test_create_data_taxonomy_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = gcd_data_taxonomy.CreateDataTaxonomyRequest(
+        parent='parent_value',
+        data_taxonomy_id='data_taxonomy_id_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_data_taxonomy),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.create_data_taxonomy(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == gcd_data_taxonomy.CreateDataTaxonomyRequest(
+            parent='parent_value',
+            data_taxonomy_id='data_taxonomy_id_value',
+        )
+
+def test_create_data_taxonomy_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = DataTaxonomyServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.create_data_taxonomy in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.create_data_taxonomy] = mock_rpc
+        request = {}
+        client.create_data_taxonomy(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        client.create_data_taxonomy(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_create_data_taxonomy_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = DataTaxonomyServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.create_data_taxonomy in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.create_data_taxonomy] = mock_rpc
+
+        request = {}
+        await client.create_data_taxonomy(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        await client.create_data_taxonomy(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_create_data_taxonomy_async(transport: str = 'grpc_asyncio', request_type=gcd_data_taxonomy.CreateDataTaxonomyRequest):
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_data_taxonomy),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        response = await client.create_data_taxonomy(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = gcd_data_taxonomy.CreateDataTaxonomyRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+@pytest.mark.asyncio
+async def test_create_data_taxonomy_async_from_dict():
+    await test_create_data_taxonomy_async(request_type=dict)
+
+def test_create_data_taxonomy_field_headers():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = gcd_data_taxonomy.CreateDataTaxonomyRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_data_taxonomy),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.create_data_taxonomy(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_create_data_taxonomy_field_headers_async():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = gcd_data_taxonomy.CreateDataTaxonomyRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_data_taxonomy),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
+        await client.create_data_taxonomy(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+def test_create_data_taxonomy_flattened():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_data_taxonomy),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.create_data_taxonomy(
+            parent='parent_value',
+            data_taxonomy=gcd_data_taxonomy.DataTaxonomy(name='name_value'),
+            data_taxonomy_id='data_taxonomy_id_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+        arg = args[0].data_taxonomy
+        mock_val = gcd_data_taxonomy.DataTaxonomy(name='name_value')
+        assert arg == mock_val
+        arg = args[0].data_taxonomy_id
+        mock_val = 'data_taxonomy_id_value'
+        assert arg == mock_val
+
+
+def test_create_data_taxonomy_flattened_error():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.create_data_taxonomy(
+            gcd_data_taxonomy.CreateDataTaxonomyRequest(),
+            parent='parent_value',
+            data_taxonomy=gcd_data_taxonomy.DataTaxonomy(name='name_value'),
+            data_taxonomy_id='data_taxonomy_id_value',
+        )
+
+@pytest.mark.asyncio
+async def test_create_data_taxonomy_flattened_async():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_data_taxonomy),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.create_data_taxonomy(
+            parent='parent_value',
+            data_taxonomy=gcd_data_taxonomy.DataTaxonomy(name='name_value'),
+            data_taxonomy_id='data_taxonomy_id_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+        arg = args[0].data_taxonomy
+        mock_val = gcd_data_taxonomy.DataTaxonomy(name='name_value')
+        assert arg == mock_val
+        arg = args[0].data_taxonomy_id
+        mock_val = 'data_taxonomy_id_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_create_data_taxonomy_flattened_error_async():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.create_data_taxonomy(
+            gcd_data_taxonomy.CreateDataTaxonomyRequest(),
+            parent='parent_value',
+            data_taxonomy=gcd_data_taxonomy.DataTaxonomy(name='name_value'),
+            data_taxonomy_id='data_taxonomy_id_value',
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  gcd_data_taxonomy.UpdateDataTaxonomyRequest,
+  dict,
+])
+def test_update_data_taxonomy(request_type, transport: str = 'grpc'):
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_data_taxonomy),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/spam')
+        response = client.update_data_taxonomy(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = gcd_data_taxonomy.UpdateDataTaxonomyRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+def test_update_data_taxonomy_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = gcd_data_taxonomy.UpdateDataTaxonomyRequest(
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_data_taxonomy),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.update_data_taxonomy(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == gcd_data_taxonomy.UpdateDataTaxonomyRequest(
+        )
+
+def test_update_data_taxonomy_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = DataTaxonomyServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.update_data_taxonomy in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.update_data_taxonomy] = mock_rpc
+        request = {}
+        client.update_data_taxonomy(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        client.update_data_taxonomy(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_update_data_taxonomy_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = DataTaxonomyServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.update_data_taxonomy in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.update_data_taxonomy] = mock_rpc
+
+        request = {}
+        await client.update_data_taxonomy(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        await client.update_data_taxonomy(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_update_data_taxonomy_async(transport: str = 'grpc_asyncio', request_type=gcd_data_taxonomy.UpdateDataTaxonomyRequest):
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_data_taxonomy),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        response = await client.update_data_taxonomy(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = gcd_data_taxonomy.UpdateDataTaxonomyRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+@pytest.mark.asyncio
+async def test_update_data_taxonomy_async_from_dict():
+    await test_update_data_taxonomy_async(request_type=dict)
+
+def test_update_data_taxonomy_field_headers():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = gcd_data_taxonomy.UpdateDataTaxonomyRequest()
+
+    request.data_taxonomy.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_data_taxonomy),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.update_data_taxonomy(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'data_taxonomy.name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_update_data_taxonomy_field_headers_async():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = gcd_data_taxonomy.UpdateDataTaxonomyRequest()
+
+    request.data_taxonomy.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_data_taxonomy),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
+        await client.update_data_taxonomy(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'data_taxonomy.name=name_value',
+    ) in kw['metadata']
+
+
+def test_update_data_taxonomy_flattened():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_data_taxonomy),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.update_data_taxonomy(
+            data_taxonomy=gcd_data_taxonomy.DataTaxonomy(name='name_value'),
+            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].data_taxonomy
+        mock_val = gcd_data_taxonomy.DataTaxonomy(name='name_value')
+        assert arg == mock_val
+        arg = args[0].update_mask
+        mock_val = field_mask_pb2.FieldMask(paths=['paths_value'])
+        assert arg == mock_val
+
+
+def test_update_data_taxonomy_flattened_error():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.update_data_taxonomy(
+            gcd_data_taxonomy.UpdateDataTaxonomyRequest(),
+            data_taxonomy=gcd_data_taxonomy.DataTaxonomy(name='name_value'),
+            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
+        )
+
+@pytest.mark.asyncio
+async def test_update_data_taxonomy_flattened_async():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_data_taxonomy),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.update_data_taxonomy(
+            data_taxonomy=gcd_data_taxonomy.DataTaxonomy(name='name_value'),
+            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].data_taxonomy
+        mock_val = gcd_data_taxonomy.DataTaxonomy(name='name_value')
+        assert arg == mock_val
+        arg = args[0].update_mask
+        mock_val = field_mask_pb2.FieldMask(paths=['paths_value'])
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_update_data_taxonomy_flattened_error_async():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.update_data_taxonomy(
+            gcd_data_taxonomy.UpdateDataTaxonomyRequest(),
+            data_taxonomy=gcd_data_taxonomy.DataTaxonomy(name='name_value'),
+            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  data_taxonomy.DeleteDataTaxonomyRequest,
+  dict,
+])
+def test_delete_data_taxonomy(request_type, transport: str = 'grpc'):
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_data_taxonomy),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/spam')
+        response = client.delete_data_taxonomy(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = data_taxonomy.DeleteDataTaxonomyRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+def test_delete_data_taxonomy_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = data_taxonomy.DeleteDataTaxonomyRequest(
+        name='name_value',
+        etag='etag_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_data_taxonomy),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.delete_data_taxonomy(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == data_taxonomy.DeleteDataTaxonomyRequest(
+            name='name_value',
+            etag='etag_value',
+        )
+
+def test_delete_data_taxonomy_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = DataTaxonomyServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.delete_data_taxonomy in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.delete_data_taxonomy] = mock_rpc
+        request = {}
+        client.delete_data_taxonomy(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        client.delete_data_taxonomy(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_delete_data_taxonomy_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = DataTaxonomyServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.delete_data_taxonomy in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.delete_data_taxonomy] = mock_rpc
+
+        request = {}
+        await client.delete_data_taxonomy(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        await client.delete_data_taxonomy(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_delete_data_taxonomy_async(transport: str = 'grpc_asyncio', request_type=data_taxonomy.DeleteDataTaxonomyRequest):
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_data_taxonomy),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        response = await client.delete_data_taxonomy(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = data_taxonomy.DeleteDataTaxonomyRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+@pytest.mark.asyncio
+async def test_delete_data_taxonomy_async_from_dict():
+    await test_delete_data_taxonomy_async(request_type=dict)
+
+def test_delete_data_taxonomy_field_headers():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = data_taxonomy.DeleteDataTaxonomyRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_data_taxonomy),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.delete_data_taxonomy(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_delete_data_taxonomy_field_headers_async():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = data_taxonomy.DeleteDataTaxonomyRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_data_taxonomy),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
+        await client.delete_data_taxonomy(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+def test_delete_data_taxonomy_flattened():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_data_taxonomy),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.delete_data_taxonomy(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+
+def test_delete_data_taxonomy_flattened_error():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.delete_data_taxonomy(
+            data_taxonomy.DeleteDataTaxonomyRequest(),
+            name='name_value',
+        )
+
+@pytest.mark.asyncio
+async def test_delete_data_taxonomy_flattened_async():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_data_taxonomy),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.delete_data_taxonomy(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_delete_data_taxonomy_flattened_error_async():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.delete_data_taxonomy(
+            data_taxonomy.DeleteDataTaxonomyRequest(),
+            name='name_value',
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  data_taxonomy.ListDataTaxonomiesRequest,
+  dict,
+])
+def test_list_data_taxonomies(request_type, transport: str = 'grpc'):
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_taxonomies),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = data_taxonomy.ListDataTaxonomiesResponse(
+            next_page_token='next_page_token_value',
+            unreachable_locations=['unreachable_locations_value'],
+        )
+        response = client.list_data_taxonomies(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = data_taxonomy.ListDataTaxonomiesRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, pagers.ListDataTaxonomiesPager)
+    assert response.next_page_token == 'next_page_token_value'
+    assert response.unreachable_locations == ['unreachable_locations_value']
+
+
+def test_list_data_taxonomies_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = data_taxonomy.ListDataTaxonomiesRequest(
+        parent='parent_value',
+        page_token='page_token_value',
+        filter='filter_value',
+        order_by='order_by_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_taxonomies),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.list_data_taxonomies(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == data_taxonomy.ListDataTaxonomiesRequest(
+            parent='parent_value',
+            page_token='page_token_value',
+            filter='filter_value',
+            order_by='order_by_value',
+        )
+
+def test_list_data_taxonomies_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = DataTaxonomyServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.list_data_taxonomies in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.list_data_taxonomies] = mock_rpc
+        request = {}
+        client.list_data_taxonomies(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.list_data_taxonomies(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_list_data_taxonomies_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = DataTaxonomyServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.list_data_taxonomies in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.list_data_taxonomies] = mock_rpc
+
+        request = {}
+        await client.list_data_taxonomies(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.list_data_taxonomies(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_list_data_taxonomies_async(transport: str = 'grpc_asyncio', request_type=data_taxonomy.ListDataTaxonomiesRequest):
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_taxonomies),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(data_taxonomy.ListDataTaxonomiesResponse(
+            next_page_token='next_page_token_value',
+            unreachable_locations=['unreachable_locations_value'],
+        ))
+        response = await client.list_data_taxonomies(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = data_taxonomy.ListDataTaxonomiesRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, pagers.ListDataTaxonomiesAsyncPager)
+    assert response.next_page_token == 'next_page_token_value'
+    assert response.unreachable_locations == ['unreachable_locations_value']
+
+
+@pytest.mark.asyncio
+async def test_list_data_taxonomies_async_from_dict():
+    await test_list_data_taxonomies_async(request_type=dict)
+
+def test_list_data_taxonomies_field_headers():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = data_taxonomy.ListDataTaxonomiesRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_taxonomies),
+            '__call__') as call:
+        call.return_value = data_taxonomy.ListDataTaxonomiesResponse()
+        client.list_data_taxonomies(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_list_data_taxonomies_field_headers_async():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = data_taxonomy.ListDataTaxonomiesRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_taxonomies),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(data_taxonomy.ListDataTaxonomiesResponse())
+        await client.list_data_taxonomies(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+def test_list_data_taxonomies_flattened():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_taxonomies),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = data_taxonomy.ListDataTaxonomiesResponse()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.list_data_taxonomies(
+            parent='parent_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+
+
+def test_list_data_taxonomies_flattened_error():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.list_data_taxonomies(
+            data_taxonomy.ListDataTaxonomiesRequest(),
+            parent='parent_value',
+        )
+
+@pytest.mark.asyncio
+async def test_list_data_taxonomies_flattened_async():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_taxonomies),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = data_taxonomy.ListDataTaxonomiesResponse()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(data_taxonomy.ListDataTaxonomiesResponse())
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.list_data_taxonomies(
+            parent='parent_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_list_data_taxonomies_flattened_error_async():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.list_data_taxonomies(
+            data_taxonomy.ListDataTaxonomiesRequest(),
+            parent='parent_value',
+        )
+
+
+def test_list_data_taxonomies_pager(transport_name: str = "grpc"):
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport_name,
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_taxonomies),
+            '__call__') as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            data_taxonomy.ListDataTaxonomiesResponse(
+                data_taxonomies=[
+                    data_taxonomy.DataTaxonomy(),
+                    data_taxonomy.DataTaxonomy(),
+                    data_taxonomy.DataTaxonomy(),
+                ],
+                next_page_token='abc',
+            ),
+            data_taxonomy.ListDataTaxonomiesResponse(
+                data_taxonomies=[],
+                next_page_token='def',
+            ),
+            data_taxonomy.ListDataTaxonomiesResponse(
+                data_taxonomies=[
+                    data_taxonomy.DataTaxonomy(),
+                ],
+                next_page_token='ghi',
+            ),
+            data_taxonomy.ListDataTaxonomiesResponse(
+                data_taxonomies=[
+                    data_taxonomy.DataTaxonomy(),
+                    data_taxonomy.DataTaxonomy(),
+                ],
+            ),
+            RuntimeError,
+        )
+
+        expected_metadata = ()
+        retry = retries.Retry()
+        timeout = 5
+        expected_metadata = tuple(expected_metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ('parent', ''),
+            )),
+        )
+        pager = client.list_data_taxonomies(request={}, retry=retry, timeout=timeout)
+
+        assert pager._metadata == expected_metadata
+        assert pager._retry == retry
+        assert pager._timeout == timeout
+
+        results = list(pager)
+        assert len(results) == 6
+        assert all(isinstance(i, data_taxonomy.DataTaxonomy)
+                   for i in results)
+def test_list_data_taxonomies_pages(transport_name: str = "grpc"):
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport_name,
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_taxonomies),
+            '__call__') as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            data_taxonomy.ListDataTaxonomiesResponse(
+                data_taxonomies=[
+                    data_taxonomy.DataTaxonomy(),
+                    data_taxonomy.DataTaxonomy(),
+                    data_taxonomy.DataTaxonomy(),
+                ],
+                next_page_token='abc',
+            ),
+            data_taxonomy.ListDataTaxonomiesResponse(
+                data_taxonomies=[],
+                next_page_token='def',
+            ),
+            data_taxonomy.ListDataTaxonomiesResponse(
+                data_taxonomies=[
+                    data_taxonomy.DataTaxonomy(),
+                ],
+                next_page_token='ghi',
+            ),
+            data_taxonomy.ListDataTaxonomiesResponse(
+                data_taxonomies=[
+                    data_taxonomy.DataTaxonomy(),
+                    data_taxonomy.DataTaxonomy(),
+                ],
+            ),
+            RuntimeError,
+        )
+        pages = list(client.list_data_taxonomies(request={}).pages)
+        for page_, token in zip(pages, ['abc','def','ghi', '']):
+            assert page_.raw_page.next_page_token == token
+
+@pytest.mark.asyncio
+async def test_list_data_taxonomies_async_pager():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_taxonomies),
+            '__call__', new_callable=mock.AsyncMock) as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            data_taxonomy.ListDataTaxonomiesResponse(
+                data_taxonomies=[
+                    data_taxonomy.DataTaxonomy(),
+                    data_taxonomy.DataTaxonomy(),
+                    data_taxonomy.DataTaxonomy(),
+                ],
+                next_page_token='abc',
+            ),
+            data_taxonomy.ListDataTaxonomiesResponse(
+                data_taxonomies=[],
+                next_page_token='def',
+            ),
+            data_taxonomy.ListDataTaxonomiesResponse(
+                data_taxonomies=[
+                    data_taxonomy.DataTaxonomy(),
+                ],
+                next_page_token='ghi',
+            ),
+            data_taxonomy.ListDataTaxonomiesResponse(
+                data_taxonomies=[
+                    data_taxonomy.DataTaxonomy(),
+                    data_taxonomy.DataTaxonomy(),
+                ],
+            ),
+            RuntimeError,
+        )
+        async_pager = await client.list_data_taxonomies(request={},)
+        assert async_pager.next_page_token == 'abc'
+        responses = []
+        async for response in async_pager: # pragma: no branch
+            responses.append(response)
+
+        assert len(responses) == 6
+        assert all(isinstance(i, data_taxonomy.DataTaxonomy)
+                for i in responses)
+
+
+@pytest.mark.asyncio
+async def test_list_data_taxonomies_async_pages():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_taxonomies),
+            '__call__', new_callable=mock.AsyncMock) as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            data_taxonomy.ListDataTaxonomiesResponse(
+                data_taxonomies=[
+                    data_taxonomy.DataTaxonomy(),
+                    data_taxonomy.DataTaxonomy(),
+                    data_taxonomy.DataTaxonomy(),
+                ],
+                next_page_token='abc',
+            ),
+            data_taxonomy.ListDataTaxonomiesResponse(
+                data_taxonomies=[],
+                next_page_token='def',
+            ),
+            data_taxonomy.ListDataTaxonomiesResponse(
+                data_taxonomies=[
+                    data_taxonomy.DataTaxonomy(),
+                ],
+                next_page_token='ghi',
+            ),
+            data_taxonomy.ListDataTaxonomiesResponse(
+                data_taxonomies=[
+                    data_taxonomy.DataTaxonomy(),
+                    data_taxonomy.DataTaxonomy(),
+                ],
+            ),
+            RuntimeError,
+        )
+        pages = []
+        # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch`
+        # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372
+        async for page_ in ( # pragma: no branch
+            await client.list_data_taxonomies(request={})
+        ).pages:
+            pages.append(page_)
+        for page_, token in zip(pages, ['abc','def','ghi', '']):
+            assert page_.raw_page.next_page_token == token
+
+@pytest.mark.parametrize("request_type", [
+  data_taxonomy.GetDataTaxonomyRequest,
+  dict,
+])
+def test_get_data_taxonomy(request_type, transport: str = 'grpc'):
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_data_taxonomy),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = data_taxonomy.DataTaxonomy(
+            name='name_value',
+            uid='uid_value',
+            description='description_value',
+            display_name='display_name_value',
+            attribute_count=1628,
+            etag='etag_value',
+            class_count=1182,
+        )
+        response = client.get_data_taxonomy(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = data_taxonomy.GetDataTaxonomyRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, data_taxonomy.DataTaxonomy)
+    assert response.name == 'name_value'
+    assert response.uid == 'uid_value'
+    assert response.description == 'description_value'
+    assert response.display_name == 'display_name_value'
+    assert response.attribute_count == 1628
+    assert response.etag == 'etag_value'
+    assert response.class_count == 1182
+
+
+def test_get_data_taxonomy_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = data_taxonomy.GetDataTaxonomyRequest(
+        name='name_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_data_taxonomy),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.get_data_taxonomy(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == data_taxonomy.GetDataTaxonomyRequest(
+            name='name_value',
+        )
+
+def test_get_data_taxonomy_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = DataTaxonomyServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.get_data_taxonomy in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.get_data_taxonomy] = mock_rpc
+        request = {}
+        client.get_data_taxonomy(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.get_data_taxonomy(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_get_data_taxonomy_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = DataTaxonomyServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.get_data_taxonomy in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.get_data_taxonomy] = mock_rpc
+
+        request = {}
+        await client.get_data_taxonomy(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.get_data_taxonomy(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_get_data_taxonomy_async(transport: str = 'grpc_asyncio', request_type=data_taxonomy.GetDataTaxonomyRequest):
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_data_taxonomy),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(data_taxonomy.DataTaxonomy(
+            name='name_value',
+            uid='uid_value',
+            description='description_value',
+            display_name='display_name_value',
+            attribute_count=1628,
+            etag='etag_value',
+            class_count=1182,
+        ))
+        response = await client.get_data_taxonomy(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = data_taxonomy.GetDataTaxonomyRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, data_taxonomy.DataTaxonomy)
+    assert response.name == 'name_value'
+    assert response.uid == 'uid_value'
+    assert response.description == 'description_value'
+    assert response.display_name == 'display_name_value'
+    assert response.attribute_count == 1628
+    assert response.etag == 'etag_value'
+    assert response.class_count == 1182
+
+
+@pytest.mark.asyncio
+async def test_get_data_taxonomy_async_from_dict():
+    await test_get_data_taxonomy_async(request_type=dict)
+
+def test_get_data_taxonomy_field_headers():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = data_taxonomy.GetDataTaxonomyRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_data_taxonomy),
+            '__call__') as call:
+        call.return_value = data_taxonomy.DataTaxonomy()
+        client.get_data_taxonomy(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_get_data_taxonomy_field_headers_async():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = data_taxonomy.GetDataTaxonomyRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_data_taxonomy),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(data_taxonomy.DataTaxonomy())
+        await client.get_data_taxonomy(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+def test_get_data_taxonomy_flattened():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_data_taxonomy),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = data_taxonomy.DataTaxonomy()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.get_data_taxonomy(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+
+def test_get_data_taxonomy_flattened_error():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.get_data_taxonomy(
+            data_taxonomy.GetDataTaxonomyRequest(),
+            name='name_value',
+        )
+
+@pytest.mark.asyncio
+async def test_get_data_taxonomy_flattened_async():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_data_taxonomy),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = data_taxonomy.DataTaxonomy()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(data_taxonomy.DataTaxonomy())
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.get_data_taxonomy(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_get_data_taxonomy_flattened_error_async():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.get_data_taxonomy(
+            data_taxonomy.GetDataTaxonomyRequest(),
+            name='name_value',
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  data_taxonomy.CreateDataAttributeBindingRequest,
+  dict,
+])
+def test_create_data_attribute_binding(request_type, transport: str = 'grpc'):
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_data_attribute_binding),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/spam')
+        response = client.create_data_attribute_binding(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = data_taxonomy.CreateDataAttributeBindingRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+def test_create_data_attribute_binding_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = data_taxonomy.CreateDataAttributeBindingRequest(
+        parent='parent_value',
+        data_attribute_binding_id='data_attribute_binding_id_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_data_attribute_binding),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.create_data_attribute_binding(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == data_taxonomy.CreateDataAttributeBindingRequest(
+            parent='parent_value',
+            data_attribute_binding_id='data_attribute_binding_id_value',
+        )
+
+def test_create_data_attribute_binding_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = DataTaxonomyServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.create_data_attribute_binding in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.create_data_attribute_binding] = mock_rpc
+        request = {}
+        client.create_data_attribute_binding(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        client.create_data_attribute_binding(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_create_data_attribute_binding_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = DataTaxonomyServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.create_data_attribute_binding in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.create_data_attribute_binding] = mock_rpc
+
+        request = {}
+        await client.create_data_attribute_binding(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        await client.create_data_attribute_binding(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_create_data_attribute_binding_async(transport: str = 'grpc_asyncio', request_type=data_taxonomy.CreateDataAttributeBindingRequest):
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_data_attribute_binding),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        response = await client.create_data_attribute_binding(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = data_taxonomy.CreateDataAttributeBindingRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+@pytest.mark.asyncio
+async def test_create_data_attribute_binding_async_from_dict():
+    await test_create_data_attribute_binding_async(request_type=dict)
+
+def test_create_data_attribute_binding_field_headers():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = data_taxonomy.CreateDataAttributeBindingRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_data_attribute_binding),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.create_data_attribute_binding(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_create_data_attribute_binding_field_headers_async():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = data_taxonomy.CreateDataAttributeBindingRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_data_attribute_binding),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
+        await client.create_data_attribute_binding(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+def test_create_data_attribute_binding_flattened():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_data_attribute_binding),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.create_data_attribute_binding(
+            parent='parent_value',
+            data_attribute_binding=data_taxonomy.DataAttributeBinding(name='name_value'),
+            data_attribute_binding_id='data_attribute_binding_id_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+        arg = args[0].data_attribute_binding
+        mock_val = data_taxonomy.DataAttributeBinding(name='name_value')
+        assert arg == mock_val
+        arg = args[0].data_attribute_binding_id
+        mock_val = 'data_attribute_binding_id_value'
+        assert arg == mock_val
+
+
+def test_create_data_attribute_binding_flattened_error():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.create_data_attribute_binding(
+            data_taxonomy.CreateDataAttributeBindingRequest(),
+            parent='parent_value',
+            data_attribute_binding=data_taxonomy.DataAttributeBinding(name='name_value'),
+            data_attribute_binding_id='data_attribute_binding_id_value',
+        )
+
+@pytest.mark.asyncio
+async def test_create_data_attribute_binding_flattened_async():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_data_attribute_binding),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.create_data_attribute_binding(
+            parent='parent_value',
+            data_attribute_binding=data_taxonomy.DataAttributeBinding(name='name_value'),
+            data_attribute_binding_id='data_attribute_binding_id_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+        arg = args[0].data_attribute_binding
+        mock_val = data_taxonomy.DataAttributeBinding(name='name_value')
+        assert arg == mock_val
+        arg = args[0].data_attribute_binding_id
+        mock_val = 'data_attribute_binding_id_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_create_data_attribute_binding_flattened_error_async():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.create_data_attribute_binding(
+            data_taxonomy.CreateDataAttributeBindingRequest(),
+            parent='parent_value',
+            data_attribute_binding=data_taxonomy.DataAttributeBinding(name='name_value'),
+            data_attribute_binding_id='data_attribute_binding_id_value',
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  data_taxonomy.UpdateDataAttributeBindingRequest,
+  dict,
+])
+def test_update_data_attribute_binding(request_type, transport: str = 'grpc'):
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_data_attribute_binding),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/spam')
+        response = client.update_data_attribute_binding(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = data_taxonomy.UpdateDataAttributeBindingRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+def test_update_data_attribute_binding_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = data_taxonomy.UpdateDataAttributeBindingRequest(
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_data_attribute_binding),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.update_data_attribute_binding(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == data_taxonomy.UpdateDataAttributeBindingRequest(
+        )
+
+def test_update_data_attribute_binding_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = DataTaxonomyServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.update_data_attribute_binding in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.update_data_attribute_binding] = mock_rpc
+        request = {}
+        client.update_data_attribute_binding(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        client.update_data_attribute_binding(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_update_data_attribute_binding_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = DataTaxonomyServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.update_data_attribute_binding in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.update_data_attribute_binding] = mock_rpc
+
+        request = {}
+        await client.update_data_attribute_binding(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        await client.update_data_attribute_binding(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_update_data_attribute_binding_async(transport: str = 'grpc_asyncio', request_type=data_taxonomy.UpdateDataAttributeBindingRequest):
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_data_attribute_binding),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        response = await client.update_data_attribute_binding(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = data_taxonomy.UpdateDataAttributeBindingRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+@pytest.mark.asyncio
+async def test_update_data_attribute_binding_async_from_dict():
+    await test_update_data_attribute_binding_async(request_type=dict)
+
+def test_update_data_attribute_binding_field_headers():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = data_taxonomy.UpdateDataAttributeBindingRequest()
+
+    request.data_attribute_binding.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_data_attribute_binding),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.update_data_attribute_binding(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'data_attribute_binding.name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_update_data_attribute_binding_field_headers_async():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = data_taxonomy.UpdateDataAttributeBindingRequest()
+
+    request.data_attribute_binding.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_data_attribute_binding),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
+        await client.update_data_attribute_binding(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'data_attribute_binding.name=name_value',
+    ) in kw['metadata']
+
+
+def test_update_data_attribute_binding_flattened():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_data_attribute_binding),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.update_data_attribute_binding(
+            data_attribute_binding=data_taxonomy.DataAttributeBinding(name='name_value'),
+            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].data_attribute_binding
+        mock_val = data_taxonomy.DataAttributeBinding(name='name_value')
+        assert arg == mock_val
+        arg = args[0].update_mask
+        mock_val = field_mask_pb2.FieldMask(paths=['paths_value'])
+        assert arg == mock_val
+
+
+def test_update_data_attribute_binding_flattened_error():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.update_data_attribute_binding(
+            data_taxonomy.UpdateDataAttributeBindingRequest(),
+            data_attribute_binding=data_taxonomy.DataAttributeBinding(name='name_value'),
+            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
+        )
+
+@pytest.mark.asyncio
+async def test_update_data_attribute_binding_flattened_async():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_data_attribute_binding),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.update_data_attribute_binding(
+            data_attribute_binding=data_taxonomy.DataAttributeBinding(name='name_value'),
+            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].data_attribute_binding
+        mock_val = data_taxonomy.DataAttributeBinding(name='name_value')
+        assert arg == mock_val
+        arg = args[0].update_mask
+        mock_val = field_mask_pb2.FieldMask(paths=['paths_value'])
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_update_data_attribute_binding_flattened_error_async():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.update_data_attribute_binding(
+            data_taxonomy.UpdateDataAttributeBindingRequest(),
+            data_attribute_binding=data_taxonomy.DataAttributeBinding(name='name_value'),
+            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  data_taxonomy.DeleteDataAttributeBindingRequest,
+  dict,
+])
+def test_delete_data_attribute_binding(request_type, transport: str = 'grpc'):
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_data_attribute_binding),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/spam')
+        response = client.delete_data_attribute_binding(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = data_taxonomy.DeleteDataAttributeBindingRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+def test_delete_data_attribute_binding_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = data_taxonomy.DeleteDataAttributeBindingRequest(
+        name='name_value',
+        etag='etag_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_data_attribute_binding),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.delete_data_attribute_binding(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == data_taxonomy.DeleteDataAttributeBindingRequest(
+            name='name_value',
+            etag='etag_value',
+        )
+
+def test_delete_data_attribute_binding_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = DataTaxonomyServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.delete_data_attribute_binding in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.delete_data_attribute_binding] = mock_rpc
+        request = {}
+        client.delete_data_attribute_binding(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        client.delete_data_attribute_binding(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_delete_data_attribute_binding_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = DataTaxonomyServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.delete_data_attribute_binding in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.delete_data_attribute_binding] = mock_rpc
+
+        request = {}
+        await client.delete_data_attribute_binding(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        await client.delete_data_attribute_binding(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_delete_data_attribute_binding_async(transport: str = 'grpc_asyncio', request_type=data_taxonomy.DeleteDataAttributeBindingRequest):
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_data_attribute_binding),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        response = await client.delete_data_attribute_binding(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = data_taxonomy.DeleteDataAttributeBindingRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+@pytest.mark.asyncio
+async def test_delete_data_attribute_binding_async_from_dict():
+    await test_delete_data_attribute_binding_async(request_type=dict)
+
+def test_delete_data_attribute_binding_field_headers():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = data_taxonomy.DeleteDataAttributeBindingRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_data_attribute_binding),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.delete_data_attribute_binding(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_delete_data_attribute_binding_field_headers_async():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = data_taxonomy.DeleteDataAttributeBindingRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_data_attribute_binding),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
+        await client.delete_data_attribute_binding(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+def test_delete_data_attribute_binding_flattened():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_data_attribute_binding),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.delete_data_attribute_binding(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+
+def test_delete_data_attribute_binding_flattened_error():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.delete_data_attribute_binding(
+            data_taxonomy.DeleteDataAttributeBindingRequest(),
+            name='name_value',
+        )
+
+@pytest.mark.asyncio
+async def test_delete_data_attribute_binding_flattened_async():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_data_attribute_binding),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.delete_data_attribute_binding(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_delete_data_attribute_binding_flattened_error_async():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.delete_data_attribute_binding(
+            data_taxonomy.DeleteDataAttributeBindingRequest(),
+            name='name_value',
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  data_taxonomy.ListDataAttributeBindingsRequest,
+  dict,
+])
+def test_list_data_attribute_bindings(request_type, transport: str = 'grpc'):
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_attribute_bindings),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = data_taxonomy.ListDataAttributeBindingsResponse(
+            next_page_token='next_page_token_value',
+            unreachable_locations=['unreachable_locations_value'],
+        )
+        response = client.list_data_attribute_bindings(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = data_taxonomy.ListDataAttributeBindingsRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, pagers.ListDataAttributeBindingsPager)
+    assert response.next_page_token == 'next_page_token_value'
+    assert response.unreachable_locations == ['unreachable_locations_value']
+
+
+def test_list_data_attribute_bindings_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = data_taxonomy.ListDataAttributeBindingsRequest(
+        parent='parent_value',
+        page_token='page_token_value',
+        filter='filter_value',
+        order_by='order_by_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_attribute_bindings),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.list_data_attribute_bindings(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == data_taxonomy.ListDataAttributeBindingsRequest(
+            parent='parent_value',
+            page_token='page_token_value',
+            filter='filter_value',
+            order_by='order_by_value',
+        )
+
+def test_list_data_attribute_bindings_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = DataTaxonomyServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.list_data_attribute_bindings in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.list_data_attribute_bindings] = mock_rpc
+        request = {}
+        client.list_data_attribute_bindings(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.list_data_attribute_bindings(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_list_data_attribute_bindings_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = DataTaxonomyServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.list_data_attribute_bindings in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.list_data_attribute_bindings] = mock_rpc
+
+        request = {}
+        await client.list_data_attribute_bindings(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.list_data_attribute_bindings(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_list_data_attribute_bindings_async(transport: str = 'grpc_asyncio', request_type=data_taxonomy.ListDataAttributeBindingsRequest):
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_attribute_bindings),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(data_taxonomy.ListDataAttributeBindingsResponse(
+            next_page_token='next_page_token_value',
+            unreachable_locations=['unreachable_locations_value'],
+        ))
+        response = await client.list_data_attribute_bindings(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = data_taxonomy.ListDataAttributeBindingsRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, pagers.ListDataAttributeBindingsAsyncPager)
+    assert response.next_page_token == 'next_page_token_value'
+    assert response.unreachable_locations == ['unreachable_locations_value']
+
+
+@pytest.mark.asyncio
+async def test_list_data_attribute_bindings_async_from_dict():
+    await test_list_data_attribute_bindings_async(request_type=dict)
+
+def test_list_data_attribute_bindings_field_headers():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = data_taxonomy.ListDataAttributeBindingsRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_attribute_bindings),
+            '__call__') as call:
+        call.return_value = data_taxonomy.ListDataAttributeBindingsResponse()
+        client.list_data_attribute_bindings(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_list_data_attribute_bindings_field_headers_async():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = data_taxonomy.ListDataAttributeBindingsRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_attribute_bindings),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(data_taxonomy.ListDataAttributeBindingsResponse())
+        await client.list_data_attribute_bindings(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+def test_list_data_attribute_bindings_flattened():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_attribute_bindings),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = data_taxonomy.ListDataAttributeBindingsResponse()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.list_data_attribute_bindings(
+            parent='parent_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+
+
+def test_list_data_attribute_bindings_flattened_error():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.list_data_attribute_bindings(
+            data_taxonomy.ListDataAttributeBindingsRequest(),
+            parent='parent_value',
+        )
+
+@pytest.mark.asyncio
+async def test_list_data_attribute_bindings_flattened_async():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_attribute_bindings),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = data_taxonomy.ListDataAttributeBindingsResponse()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(data_taxonomy.ListDataAttributeBindingsResponse())
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.list_data_attribute_bindings(
+            parent='parent_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_list_data_attribute_bindings_flattened_error_async():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.list_data_attribute_bindings(
+            data_taxonomy.ListDataAttributeBindingsRequest(),
+            parent='parent_value',
+        )
+
+
+def test_list_data_attribute_bindings_pager(transport_name: str = "grpc"):
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport_name,
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_attribute_bindings),
+            '__call__') as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            data_taxonomy.ListDataAttributeBindingsResponse(
+                data_attribute_bindings=[
+                    data_taxonomy.DataAttributeBinding(),
+                    data_taxonomy.DataAttributeBinding(),
+                    data_taxonomy.DataAttributeBinding(),
+                ],
+                next_page_token='abc',
+            ),
+            data_taxonomy.ListDataAttributeBindingsResponse(
+                data_attribute_bindings=[],
+                next_page_token='def',
+            ),
+            data_taxonomy.ListDataAttributeBindingsResponse(
+                data_attribute_bindings=[
+                    data_taxonomy.DataAttributeBinding(),
+                ],
+                next_page_token='ghi',
+            ),
+            data_taxonomy.ListDataAttributeBindingsResponse(
+                data_attribute_bindings=[
+                    data_taxonomy.DataAttributeBinding(),
+                    data_taxonomy.DataAttributeBinding(),
+                ],
+            ),
+            RuntimeError,
+        )
+
+        expected_metadata = ()
+        retry = retries.Retry()
+        timeout = 5
+        expected_metadata = tuple(expected_metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ('parent', ''),
+            )),
+        )
+        pager = client.list_data_attribute_bindings(request={}, retry=retry, timeout=timeout)
+
+        assert pager._metadata == expected_metadata
+        assert pager._retry == retry
+        assert pager._timeout == timeout
+
+        results = list(pager)
+        assert len(results) == 6
+        assert all(isinstance(i, data_taxonomy.DataAttributeBinding)
+                   for i in results)
+def test_list_data_attribute_bindings_pages(transport_name: str = "grpc"):
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport_name,
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_attribute_bindings),
+            '__call__') as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            data_taxonomy.ListDataAttributeBindingsResponse(
+                data_attribute_bindings=[
+                    data_taxonomy.DataAttributeBinding(),
+                    data_taxonomy.DataAttributeBinding(),
+                    data_taxonomy.DataAttributeBinding(),
+                ],
+                next_page_token='abc',
+            ),
+            data_taxonomy.ListDataAttributeBindingsResponse(
+                data_attribute_bindings=[],
+                next_page_token='def',
+            ),
+            data_taxonomy.ListDataAttributeBindingsResponse(
+                data_attribute_bindings=[
+                    data_taxonomy.DataAttributeBinding(),
+                ],
+                next_page_token='ghi',
+            ),
+            data_taxonomy.ListDataAttributeBindingsResponse(
+                data_attribute_bindings=[
+                    data_taxonomy.DataAttributeBinding(),
+                    data_taxonomy.DataAttributeBinding(),
+                ],
+            ),
+            RuntimeError,
+        )
+        pages = list(client.list_data_attribute_bindings(request={}).pages)
+        for page_, token in zip(pages, ['abc','def','ghi', '']):
+            assert page_.raw_page.next_page_token == token
+
+@pytest.mark.asyncio
+async def test_list_data_attribute_bindings_async_pager():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_attribute_bindings),
+            '__call__', new_callable=mock.AsyncMock) as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            data_taxonomy.ListDataAttributeBindingsResponse(
+                data_attribute_bindings=[
+                    data_taxonomy.DataAttributeBinding(),
+                    data_taxonomy.DataAttributeBinding(),
+                    data_taxonomy.DataAttributeBinding(),
+                ],
+                next_page_token='abc',
+            ),
+            data_taxonomy.ListDataAttributeBindingsResponse(
+                data_attribute_bindings=[],
+                next_page_token='def',
+            ),
+            data_taxonomy.ListDataAttributeBindingsResponse(
+                data_attribute_bindings=[
+                    data_taxonomy.DataAttributeBinding(),
+                ],
+                next_page_token='ghi',
+            ),
+            data_taxonomy.ListDataAttributeBindingsResponse(
+                data_attribute_bindings=[
+                    data_taxonomy.DataAttributeBinding(),
+                    data_taxonomy.DataAttributeBinding(),
+                ],
+            ),
+            RuntimeError,
+        )
+        async_pager = await client.list_data_attribute_bindings(request={},)
+        assert async_pager.next_page_token == 'abc'
+        responses = []
+        async for response in async_pager: # pragma: no branch
+            responses.append(response)
+
+        assert len(responses) == 6
+        assert all(isinstance(i, data_taxonomy.DataAttributeBinding)
+                for i in responses)
+
+
+@pytest.mark.asyncio
+async def test_list_data_attribute_bindings_async_pages():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_attribute_bindings),
+            '__call__', new_callable=mock.AsyncMock) as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            data_taxonomy.ListDataAttributeBindingsResponse(
+                data_attribute_bindings=[
+                    data_taxonomy.DataAttributeBinding(),
+                    data_taxonomy.DataAttributeBinding(),
+                    data_taxonomy.DataAttributeBinding(),
+                ],
+                next_page_token='abc',
+            ),
+            data_taxonomy.ListDataAttributeBindingsResponse(
+                data_attribute_bindings=[],
+                next_page_token='def',
+            ),
+            data_taxonomy.ListDataAttributeBindingsResponse(
+                data_attribute_bindings=[
+                    data_taxonomy.DataAttributeBinding(),
+                ],
+                next_page_token='ghi',
+            ),
+            data_taxonomy.ListDataAttributeBindingsResponse(
+                data_attribute_bindings=[
+                    data_taxonomy.DataAttributeBinding(),
+                    data_taxonomy.DataAttributeBinding(),
+                ],
+            ),
+            RuntimeError,
+        )
+        pages = []
+        # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch`
+        # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372
+        async for page_ in ( # pragma: no branch
+            await client.list_data_attribute_bindings(request={})
+        ).pages:
+            pages.append(page_)
+        for page_, token in zip(pages, ['abc','def','ghi', '']):
+            assert page_.raw_page.next_page_token == token
+
+@pytest.mark.parametrize("request_type", [
+  data_taxonomy.GetDataAttributeBindingRequest,
+  dict,
+])
+def test_get_data_attribute_binding(request_type, transport: str = 'grpc'):
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_data_attribute_binding),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = data_taxonomy.DataAttributeBinding(
+            name='name_value',
+            uid='uid_value',
+            description='description_value',
+            display_name='display_name_value',
+            etag='etag_value',
+            attributes=['attributes_value'],
+            resource='resource_value',
+        )
+        response = client.get_data_attribute_binding(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = data_taxonomy.GetDataAttributeBindingRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, data_taxonomy.DataAttributeBinding)
+    assert response.name == 'name_value'
+    assert response.uid == 'uid_value'
+    assert response.description == 'description_value'
+    assert response.display_name == 'display_name_value'
+    assert response.etag == 'etag_value'
+    assert response.attributes == ['attributes_value']
+
+
+def test_get_data_attribute_binding_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = data_taxonomy.GetDataAttributeBindingRequest(
+        name='name_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_data_attribute_binding),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.get_data_attribute_binding(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == data_taxonomy.GetDataAttributeBindingRequest(
+            name='name_value',
+        )
+
+def test_get_data_attribute_binding_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = DataTaxonomyServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.get_data_attribute_binding in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.get_data_attribute_binding] = mock_rpc
+        request = {}
+        client.get_data_attribute_binding(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.get_data_attribute_binding(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_get_data_attribute_binding_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = DataTaxonomyServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.get_data_attribute_binding in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.get_data_attribute_binding] = mock_rpc
+
+        request = {}
+        await client.get_data_attribute_binding(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.get_data_attribute_binding(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_get_data_attribute_binding_async(transport: str = 'grpc_asyncio', request_type=data_taxonomy.GetDataAttributeBindingRequest):
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_data_attribute_binding),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(data_taxonomy.DataAttributeBinding(
+            name='name_value',
+            uid='uid_value',
+            description='description_value',
+            display_name='display_name_value',
+            etag='etag_value',
+            attributes=['attributes_value'],
+        ))
+        response = await client.get_data_attribute_binding(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = data_taxonomy.GetDataAttributeBindingRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, data_taxonomy.DataAttributeBinding)
+    assert response.name == 'name_value'
+    assert response.uid == 'uid_value'
+    assert response.description == 'description_value'
+    assert response.display_name == 'display_name_value'
+    assert response.etag == 'etag_value'
+    assert response.attributes == ['attributes_value']
+
+
+@pytest.mark.asyncio
+async def test_get_data_attribute_binding_async_from_dict():
+    await test_get_data_attribute_binding_async(request_type=dict)
+
+def test_get_data_attribute_binding_field_headers():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = data_taxonomy.GetDataAttributeBindingRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_data_attribute_binding),
+            '__call__') as call:
+        call.return_value = data_taxonomy.DataAttributeBinding()
+        client.get_data_attribute_binding(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_get_data_attribute_binding_field_headers_async():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = data_taxonomy.GetDataAttributeBindingRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_data_attribute_binding),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(data_taxonomy.DataAttributeBinding())
+        await client.get_data_attribute_binding(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+def test_get_data_attribute_binding_flattened():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_data_attribute_binding),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = data_taxonomy.DataAttributeBinding()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.get_data_attribute_binding(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+
+def test_get_data_attribute_binding_flattened_error():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.get_data_attribute_binding(
+            data_taxonomy.GetDataAttributeBindingRequest(),
+            name='name_value',
+        )
+
+@pytest.mark.asyncio
+async def test_get_data_attribute_binding_flattened_async():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_data_attribute_binding),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = data_taxonomy.DataAttributeBinding()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(data_taxonomy.DataAttributeBinding())
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.get_data_attribute_binding(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_get_data_attribute_binding_flattened_error_async():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.get_data_attribute_binding(
+            data_taxonomy.GetDataAttributeBindingRequest(),
+            name='name_value',
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  data_taxonomy.CreateDataAttributeRequest,
+  dict,
+])
+def test_create_data_attribute(request_type, transport: str = 'grpc'):
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_data_attribute),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/spam')
+        response = client.create_data_attribute(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = data_taxonomy.CreateDataAttributeRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+def test_create_data_attribute_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = data_taxonomy.CreateDataAttributeRequest(
+        parent='parent_value',
+        data_attribute_id='data_attribute_id_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_data_attribute),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.create_data_attribute(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == data_taxonomy.CreateDataAttributeRequest(
+            parent='parent_value',
+            data_attribute_id='data_attribute_id_value',
+        )
+
+def test_create_data_attribute_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = DataTaxonomyServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.create_data_attribute in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.create_data_attribute] = mock_rpc
+        request = {}
+        client.create_data_attribute(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        client.create_data_attribute(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_create_data_attribute_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = DataTaxonomyServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.create_data_attribute in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.create_data_attribute] = mock_rpc
+
+        request = {}
+        await client.create_data_attribute(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        await client.create_data_attribute(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_create_data_attribute_async(transport: str = 'grpc_asyncio', request_type=data_taxonomy.CreateDataAttributeRequest):
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_data_attribute),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        response = await client.create_data_attribute(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = data_taxonomy.CreateDataAttributeRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+@pytest.mark.asyncio
+async def test_create_data_attribute_async_from_dict():
+    await test_create_data_attribute_async(request_type=dict)
+
+def test_create_data_attribute_field_headers():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = data_taxonomy.CreateDataAttributeRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_data_attribute),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.create_data_attribute(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_create_data_attribute_field_headers_async():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = data_taxonomy.CreateDataAttributeRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_data_attribute),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
+        await client.create_data_attribute(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+def test_create_data_attribute_flattened():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_data_attribute),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.create_data_attribute(
+            parent='parent_value',
+            data_attribute=data_taxonomy.DataAttribute(name='name_value'),
+            data_attribute_id='data_attribute_id_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+        arg = args[0].data_attribute
+        mock_val = data_taxonomy.DataAttribute(name='name_value')
+        assert arg == mock_val
+        arg = args[0].data_attribute_id
+        mock_val = 'data_attribute_id_value'
+        assert arg == mock_val
+
+
+def test_create_data_attribute_flattened_error():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.create_data_attribute(
+            data_taxonomy.CreateDataAttributeRequest(),
+            parent='parent_value',
+            data_attribute=data_taxonomy.DataAttribute(name='name_value'),
+            data_attribute_id='data_attribute_id_value',
+        )
+
+@pytest.mark.asyncio
+async def test_create_data_attribute_flattened_async():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_data_attribute),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.create_data_attribute(
+            parent='parent_value',
+            data_attribute=data_taxonomy.DataAttribute(name='name_value'),
+            data_attribute_id='data_attribute_id_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+        arg = args[0].data_attribute
+        mock_val = data_taxonomy.DataAttribute(name='name_value')
+        assert arg == mock_val
+        arg = args[0].data_attribute_id
+        mock_val = 'data_attribute_id_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_create_data_attribute_flattened_error_async():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.create_data_attribute(
+            data_taxonomy.CreateDataAttributeRequest(),
+            parent='parent_value',
+            data_attribute=data_taxonomy.DataAttribute(name='name_value'),
+            data_attribute_id='data_attribute_id_value',
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  data_taxonomy.UpdateDataAttributeRequest,
+  dict,
+])
+def test_update_data_attribute(request_type, transport: str = 'grpc'):
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_data_attribute),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/spam')
+        response = client.update_data_attribute(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = data_taxonomy.UpdateDataAttributeRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+def test_update_data_attribute_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = data_taxonomy.UpdateDataAttributeRequest(
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_data_attribute),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.update_data_attribute(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == data_taxonomy.UpdateDataAttributeRequest(
+        )
+
+def test_update_data_attribute_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = DataTaxonomyServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.update_data_attribute in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.update_data_attribute] = mock_rpc
+        request = {}
+        client.update_data_attribute(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        client.update_data_attribute(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_update_data_attribute_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = DataTaxonomyServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.update_data_attribute in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.update_data_attribute] = mock_rpc
+
+        request = {}
+        await client.update_data_attribute(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        await client.update_data_attribute(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_update_data_attribute_async(transport: str = 'grpc_asyncio', request_type=data_taxonomy.UpdateDataAttributeRequest):
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_data_attribute),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        response = await client.update_data_attribute(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = data_taxonomy.UpdateDataAttributeRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+@pytest.mark.asyncio
+async def test_update_data_attribute_async_from_dict():
+    await test_update_data_attribute_async(request_type=dict)
+
+def test_update_data_attribute_field_headers():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = data_taxonomy.UpdateDataAttributeRequest()
+
+    request.data_attribute.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_data_attribute),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.update_data_attribute(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'data_attribute.name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_update_data_attribute_field_headers_async():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = data_taxonomy.UpdateDataAttributeRequest()
+
+    request.data_attribute.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_data_attribute),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
+        await client.update_data_attribute(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'data_attribute.name=name_value',
+    ) in kw['metadata']
+
+
+def test_update_data_attribute_flattened():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_data_attribute),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.update_data_attribute(
+            data_attribute=data_taxonomy.DataAttribute(name='name_value'),
+            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].data_attribute
+        mock_val = data_taxonomy.DataAttribute(name='name_value')
+        assert arg == mock_val
+        arg = args[0].update_mask
+        mock_val = field_mask_pb2.FieldMask(paths=['paths_value'])
+        assert arg == mock_val
+
+
+def test_update_data_attribute_flattened_error():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.update_data_attribute(
+            data_taxonomy.UpdateDataAttributeRequest(),
+            data_attribute=data_taxonomy.DataAttribute(name='name_value'),
+            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
+        )
+
+@pytest.mark.asyncio
+async def test_update_data_attribute_flattened_async():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_data_attribute),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.update_data_attribute(
+            data_attribute=data_taxonomy.DataAttribute(name='name_value'),
+            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].data_attribute
+        mock_val = data_taxonomy.DataAttribute(name='name_value')
+        assert arg == mock_val
+        arg = args[0].update_mask
+        mock_val = field_mask_pb2.FieldMask(paths=['paths_value'])
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_update_data_attribute_flattened_error_async():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.update_data_attribute(
+            data_taxonomy.UpdateDataAttributeRequest(),
+            data_attribute=data_taxonomy.DataAttribute(name='name_value'),
+            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  data_taxonomy.DeleteDataAttributeRequest,
+  dict,
+])
+def test_delete_data_attribute(request_type, transport: str = 'grpc'):
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_data_attribute),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/spam')
+        response = client.delete_data_attribute(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = data_taxonomy.DeleteDataAttributeRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+def test_delete_data_attribute_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = data_taxonomy.DeleteDataAttributeRequest(
+        name='name_value',
+        etag='etag_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_data_attribute),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.delete_data_attribute(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == data_taxonomy.DeleteDataAttributeRequest(
+            name='name_value',
+            etag='etag_value',
+        )
+
+def test_delete_data_attribute_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = DataTaxonomyServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.delete_data_attribute in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.delete_data_attribute] = mock_rpc
+        request = {}
+        client.delete_data_attribute(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        client.delete_data_attribute(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_delete_data_attribute_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = DataTaxonomyServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.delete_data_attribute in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.delete_data_attribute] = mock_rpc
+
+        request = {}
+        await client.delete_data_attribute(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        await client.delete_data_attribute(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_delete_data_attribute_async(transport: str = 'grpc_asyncio', request_type=data_taxonomy.DeleteDataAttributeRequest):
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_data_attribute),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        response = await client.delete_data_attribute(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = data_taxonomy.DeleteDataAttributeRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+@pytest.mark.asyncio
+async def test_delete_data_attribute_async_from_dict():
+    await test_delete_data_attribute_async(request_type=dict)
+
+def test_delete_data_attribute_field_headers():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = data_taxonomy.DeleteDataAttributeRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_data_attribute),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.delete_data_attribute(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_delete_data_attribute_field_headers_async():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = data_taxonomy.DeleteDataAttributeRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_data_attribute),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
+        await client.delete_data_attribute(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+def test_delete_data_attribute_flattened():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_data_attribute),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.delete_data_attribute(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+
+def test_delete_data_attribute_flattened_error():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.delete_data_attribute(
+            data_taxonomy.DeleteDataAttributeRequest(),
+            name='name_value',
+        )
+
+@pytest.mark.asyncio
+async def test_delete_data_attribute_flattened_async():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_data_attribute),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.delete_data_attribute(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_delete_data_attribute_flattened_error_async():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.delete_data_attribute(
+            data_taxonomy.DeleteDataAttributeRequest(),
+            name='name_value',
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  data_taxonomy.ListDataAttributesRequest,
+  dict,
+])
+def test_list_data_attributes(request_type, transport: str = 'grpc'):
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_attributes),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = data_taxonomy.ListDataAttributesResponse(
+            next_page_token='next_page_token_value',
+            unreachable_locations=['unreachable_locations_value'],
+        )
+        response = client.list_data_attributes(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = data_taxonomy.ListDataAttributesRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, pagers.ListDataAttributesPager)
+    assert response.next_page_token == 'next_page_token_value'
+    assert response.unreachable_locations == ['unreachable_locations_value']
+
+
+def test_list_data_attributes_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = data_taxonomy.ListDataAttributesRequest(
+        parent='parent_value',
+        page_token='page_token_value',
+        filter='filter_value',
+        order_by='order_by_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_attributes),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.list_data_attributes(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == data_taxonomy.ListDataAttributesRequest(
+            parent='parent_value',
+            page_token='page_token_value',
+            filter='filter_value',
+            order_by='order_by_value',
+        )
+
+def test_list_data_attributes_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = DataTaxonomyServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.list_data_attributes in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.list_data_attributes] = mock_rpc
+        request = {}
+        client.list_data_attributes(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.list_data_attributes(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_list_data_attributes_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = DataTaxonomyServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.list_data_attributes in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.list_data_attributes] = mock_rpc
+
+        request = {}
+        await client.list_data_attributes(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.list_data_attributes(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_list_data_attributes_async(transport: str = 'grpc_asyncio', request_type=data_taxonomy.ListDataAttributesRequest):
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_attributes),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(data_taxonomy.ListDataAttributesResponse(
+            next_page_token='next_page_token_value',
+            unreachable_locations=['unreachable_locations_value'],
+        ))
+        response = await client.list_data_attributes(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = data_taxonomy.ListDataAttributesRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, pagers.ListDataAttributesAsyncPager)
+    assert response.next_page_token == 'next_page_token_value'
+    assert response.unreachable_locations == ['unreachable_locations_value']
+
+
+@pytest.mark.asyncio
+async def test_list_data_attributes_async_from_dict():
+    await test_list_data_attributes_async(request_type=dict)
+
+def test_list_data_attributes_field_headers():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = data_taxonomy.ListDataAttributesRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_attributes),
+            '__call__') as call:
+        call.return_value = data_taxonomy.ListDataAttributesResponse()
+        client.list_data_attributes(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_list_data_attributes_field_headers_async():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = data_taxonomy.ListDataAttributesRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_attributes),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(data_taxonomy.ListDataAttributesResponse())
+        await client.list_data_attributes(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+def test_list_data_attributes_flattened():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_attributes),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = data_taxonomy.ListDataAttributesResponse()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.list_data_attributes(
+            parent='parent_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+
+
+def test_list_data_attributes_flattened_error():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.list_data_attributes(
+            data_taxonomy.ListDataAttributesRequest(),
+            parent='parent_value',
+        )
+
+@pytest.mark.asyncio
+async def test_list_data_attributes_flattened_async():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_attributes),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = data_taxonomy.ListDataAttributesResponse()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(data_taxonomy.ListDataAttributesResponse())
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.list_data_attributes(
+            parent='parent_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_list_data_attributes_flattened_error_async():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.list_data_attributes(
+            data_taxonomy.ListDataAttributesRequest(),
+            parent='parent_value',
+        )
+
+
+def test_list_data_attributes_pager(transport_name: str = "grpc"):
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport_name,
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_attributes),
+            '__call__') as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            data_taxonomy.ListDataAttributesResponse(
+                data_attributes=[
+                    data_taxonomy.DataAttribute(),
+                    data_taxonomy.DataAttribute(),
+                    data_taxonomy.DataAttribute(),
+                ],
+                next_page_token='abc',
+            ),
+            data_taxonomy.ListDataAttributesResponse(
+                data_attributes=[],
+                next_page_token='def',
+            ),
+            data_taxonomy.ListDataAttributesResponse(
+                data_attributes=[
+                    data_taxonomy.DataAttribute(),
+                ],
+                next_page_token='ghi',
+            ),
+            data_taxonomy.ListDataAttributesResponse(
+                data_attributes=[
+                    data_taxonomy.DataAttribute(),
+                    data_taxonomy.DataAttribute(),
+                ],
+            ),
+            RuntimeError,
+        )
+
+        expected_metadata = ()
+        retry = retries.Retry()
+        timeout = 5
+        expected_metadata = tuple(expected_metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ('parent', ''),
+            )),
+        )
+        pager = client.list_data_attributes(request={}, retry=retry, timeout=timeout)
+
+        assert pager._metadata == expected_metadata
+        assert pager._retry == retry
+        assert pager._timeout == timeout
+
+        results = list(pager)
+        assert len(results) == 6
+        assert all(isinstance(i, data_taxonomy.DataAttribute)
+                   for i in results)
+def test_list_data_attributes_pages(transport_name: str = "grpc"):
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport_name,
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_attributes),
+            '__call__') as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            data_taxonomy.ListDataAttributesResponse(
+                data_attributes=[
+                    data_taxonomy.DataAttribute(),
+                    data_taxonomy.DataAttribute(),
+                    data_taxonomy.DataAttribute(),
+                ],
+                next_page_token='abc',
+            ),
+            data_taxonomy.ListDataAttributesResponse(
+                data_attributes=[],
+                next_page_token='def',
+            ),
+            data_taxonomy.ListDataAttributesResponse(
+                data_attributes=[
+                    data_taxonomy.DataAttribute(),
+                ],
+                next_page_token='ghi',
+            ),
+            data_taxonomy.ListDataAttributesResponse(
+                data_attributes=[
+                    data_taxonomy.DataAttribute(),
+                    data_taxonomy.DataAttribute(),
+                ],
+            ),
+            RuntimeError,
+        )
+        pages = list(client.list_data_attributes(request={}).pages)
+        for page_, token in zip(pages, ['abc','def','ghi', '']):
+            assert page_.raw_page.next_page_token == token
+
+@pytest.mark.asyncio
+async def test_list_data_attributes_async_pager():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_attributes),
+            '__call__', new_callable=mock.AsyncMock) as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            data_taxonomy.ListDataAttributesResponse(
+                data_attributes=[
+                    data_taxonomy.DataAttribute(),
+                    data_taxonomy.DataAttribute(),
+                    data_taxonomy.DataAttribute(),
+                ],
+                next_page_token='abc',
+            ),
+            data_taxonomy.ListDataAttributesResponse(
+                data_attributes=[],
+                next_page_token='def',
+            ),
+            data_taxonomy.ListDataAttributesResponse(
+                data_attributes=[
+                    data_taxonomy.DataAttribute(),
+                ],
+                next_page_token='ghi',
+            ),
+            data_taxonomy.ListDataAttributesResponse(
+                data_attributes=[
+                    data_taxonomy.DataAttribute(),
+                    data_taxonomy.DataAttribute(),
+                ],
+            ),
+            RuntimeError,
+        )
+        async_pager = await client.list_data_attributes(request={},)
+        assert async_pager.next_page_token == 'abc'
+        responses = []
+        async for response in async_pager: # pragma: no branch
+            responses.append(response)
+
+        assert len(responses) == 6
+        assert all(isinstance(i, data_taxonomy.DataAttribute)
+                for i in responses)
+
+
+@pytest.mark.asyncio
+async def test_list_data_attributes_async_pages():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_attributes),
+            '__call__', new_callable=mock.AsyncMock) as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            data_taxonomy.ListDataAttributesResponse(
+                data_attributes=[
+                    data_taxonomy.DataAttribute(),
+                    data_taxonomy.DataAttribute(),
+                    data_taxonomy.DataAttribute(),
+                ],
+                next_page_token='abc',
+            ),
+            data_taxonomy.ListDataAttributesResponse(
+                data_attributes=[],
+                next_page_token='def',
+            ),
+            data_taxonomy.ListDataAttributesResponse(
+                data_attributes=[
+                    data_taxonomy.DataAttribute(),
+                ],
+                next_page_token='ghi',
+            ),
+            data_taxonomy.ListDataAttributesResponse(
+                data_attributes=[
+                    data_taxonomy.DataAttribute(),
+                    data_taxonomy.DataAttribute(),
+                ],
+            ),
+            RuntimeError,
+        )
+        pages = []
+        # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch`
+        # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372
+        async for page_ in ( # pragma: no branch
+            await client.list_data_attributes(request={})
+        ).pages:
+            pages.append(page_)
+        for page_, token in zip(pages, ['abc','def','ghi', '']):
+            assert page_.raw_page.next_page_token == token
+
+@pytest.mark.parametrize("request_type", [
+  data_taxonomy.GetDataAttributeRequest,
+  dict,
+])
+def test_get_data_attribute(request_type, transport: str = 'grpc'):
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_data_attribute),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = data_taxonomy.DataAttribute(
+            name='name_value',
+            uid='uid_value',
+            description='description_value',
+            display_name='display_name_value',
+            parent_id='parent_id_value',
+            attribute_count=1628,
+            etag='etag_value',
+        )
+        response = client.get_data_attribute(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = data_taxonomy.GetDataAttributeRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, data_taxonomy.DataAttribute)
+    assert response.name == 'name_value'
+    assert response.uid == 'uid_value'
+    assert response.description == 'description_value'
+    assert response.display_name == 'display_name_value'
+    assert response.parent_id == 'parent_id_value'
+    assert response.attribute_count == 1628
+    assert response.etag == 'etag_value'
+
+
+def test_get_data_attribute_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = data_taxonomy.GetDataAttributeRequest(
+        name='name_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_data_attribute),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.get_data_attribute(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == data_taxonomy.GetDataAttributeRequest(
+            name='name_value',
+        )
+
+def test_get_data_attribute_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = DataTaxonomyServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.get_data_attribute in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.get_data_attribute] = mock_rpc
+        request = {}
+        client.get_data_attribute(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.get_data_attribute(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_get_data_attribute_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = DataTaxonomyServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.get_data_attribute in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.get_data_attribute] = mock_rpc
+
+        request = {}
+        await client.get_data_attribute(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.get_data_attribute(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_get_data_attribute_async(transport: str = 'grpc_asyncio', request_type=data_taxonomy.GetDataAttributeRequest):
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_data_attribute),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(data_taxonomy.DataAttribute(
+            name='name_value',
+            uid='uid_value',
+            description='description_value',
+            display_name='display_name_value',
+            parent_id='parent_id_value',
+            attribute_count=1628,
+            etag='etag_value',
+        ))
+        response = await client.get_data_attribute(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = data_taxonomy.GetDataAttributeRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, data_taxonomy.DataAttribute)
+    assert response.name == 'name_value'
+    assert response.uid == 'uid_value'
+    assert response.description == 'description_value'
+    assert response.display_name == 'display_name_value'
+    assert response.parent_id == 'parent_id_value'
+    assert response.attribute_count == 1628
+    assert response.etag == 'etag_value'
+
+
+@pytest.mark.asyncio
+async def test_get_data_attribute_async_from_dict():
+    await test_get_data_attribute_async(request_type=dict)
+
+def test_get_data_attribute_field_headers():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = data_taxonomy.GetDataAttributeRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_data_attribute),
+            '__call__') as call:
+        call.return_value = data_taxonomy.DataAttribute()
+        client.get_data_attribute(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_get_data_attribute_field_headers_async():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = data_taxonomy.GetDataAttributeRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_data_attribute),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(data_taxonomy.DataAttribute())
+        await client.get_data_attribute(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+def test_get_data_attribute_flattened():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_data_attribute),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = data_taxonomy.DataAttribute()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.get_data_attribute(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+
+def test_get_data_attribute_flattened_error():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.get_data_attribute(
+            data_taxonomy.GetDataAttributeRequest(),
+            name='name_value',
+        )
+
+@pytest.mark.asyncio
+async def test_get_data_attribute_flattened_async():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_data_attribute),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = data_taxonomy.DataAttribute()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(data_taxonomy.DataAttribute())
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.get_data_attribute(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_get_data_attribute_flattened_error_async():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.get_data_attribute(
+            data_taxonomy.GetDataAttributeRequest(),
+            name='name_value',
+        )
+
+
+def test_credentials_transport_error():
+    # It is an error to provide credentials and a transport instance.
+    transport = transports.DataTaxonomyServiceGrpcTransport(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    with pytest.raises(ValueError):
+        client = DataTaxonomyServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport=transport,
+        )
+
+    # It is an error to provide a credentials file and a transport instance.
+    transport = transports.DataTaxonomyServiceGrpcTransport(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    with pytest.raises(ValueError):
+        client = DataTaxonomyServiceClient(
+            client_options={"credentials_file": "credentials.json"},
+            transport=transport,
+        )
+
+    # It is an error to provide an api_key and a transport instance.
+    transport = transports.DataTaxonomyServiceGrpcTransport(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    options = client_options.ClientOptions()
+    options.api_key = "api_key"
+    with pytest.raises(ValueError):
+        client = DataTaxonomyServiceClient(
+            client_options=options,
+            transport=transport,
+        )
+
+    # It is an error to provide an api_key and a credential.
+    options = client_options.ClientOptions()
+    options.api_key = "api_key"
+    with pytest.raises(ValueError):
+        client = DataTaxonomyServiceClient(
+            client_options=options,
+            credentials=ga_credentials.AnonymousCredentials()
+        )
+
+    # It is an error to provide scopes and a transport instance.
+    transport = transports.DataTaxonomyServiceGrpcTransport(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    with pytest.raises(ValueError):
+        client = DataTaxonomyServiceClient(
+            client_options={"scopes": ["1", "2"]},
+            transport=transport,
+        )
+
+
+def test_transport_instance():
+    # A client may be instantiated with a custom transport instance.
+    transport = transports.DataTaxonomyServiceGrpcTransport(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    client = DataTaxonomyServiceClient(transport=transport)
+    assert client.transport is transport
+
+def test_transport_get_channel():
+    # A client may be instantiated with a custom transport instance.
+    transport = transports.DataTaxonomyServiceGrpcTransport(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    channel = transport.grpc_channel
+    assert channel
+
+    transport = transports.DataTaxonomyServiceGrpcAsyncIOTransport(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    channel = transport.grpc_channel
+    assert channel
+
+@pytest.mark.parametrize("transport_class", [
+    transports.DataTaxonomyServiceGrpcTransport,
+    transports.DataTaxonomyServiceGrpcAsyncIOTransport,
+])
+def test_transport_adc(transport_class):
+    # Test default credentials are used if not provided.
+    with mock.patch.object(google.auth, 'default') as adc:
+        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
+        transport_class()
+        adc.assert_called_once()
+
+def test_transport_kind_grpc():
+    transport = DataTaxonomyServiceClient.get_transport_class("grpc")(
+        credentials=ga_credentials.AnonymousCredentials()
+    )
+    assert transport.kind == "grpc"
+
+
+def test_initialize_client_w_grpc():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc"
+    )
+    assert client is not None
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_create_data_taxonomy_empty_call_grpc():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_data_taxonomy),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.create_data_taxonomy(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = gcd_data_taxonomy.CreateDataTaxonomyRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_update_data_taxonomy_empty_call_grpc():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_data_taxonomy),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.update_data_taxonomy(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = gcd_data_taxonomy.UpdateDataTaxonomyRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_delete_data_taxonomy_empty_call_grpc():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_data_taxonomy),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.delete_data_taxonomy(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = data_taxonomy.DeleteDataTaxonomyRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_list_data_taxonomies_empty_call_grpc():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_taxonomies),
+            '__call__') as call:
+        call.return_value = data_taxonomy.ListDataTaxonomiesResponse()
+        client.list_data_taxonomies(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = data_taxonomy.ListDataTaxonomiesRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_get_data_taxonomy_empty_call_grpc():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_data_taxonomy),
+            '__call__') as call:
+        call.return_value = data_taxonomy.DataTaxonomy()
+        client.get_data_taxonomy(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = data_taxonomy.GetDataTaxonomyRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_create_data_attribute_binding_empty_call_grpc():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_data_attribute_binding),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.create_data_attribute_binding(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = data_taxonomy.CreateDataAttributeBindingRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_update_data_attribute_binding_empty_call_grpc():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_data_attribute_binding),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.update_data_attribute_binding(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = data_taxonomy.UpdateDataAttributeBindingRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_delete_data_attribute_binding_empty_call_grpc():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_data_attribute_binding),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.delete_data_attribute_binding(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = data_taxonomy.DeleteDataAttributeBindingRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_list_data_attribute_bindings_empty_call_grpc():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_attribute_bindings),
+            '__call__') as call:
+        call.return_value = data_taxonomy.ListDataAttributeBindingsResponse()
+        client.list_data_attribute_bindings(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = data_taxonomy.ListDataAttributeBindingsRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_get_data_attribute_binding_empty_call_grpc():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_data_attribute_binding),
+            '__call__') as call:
+        call.return_value = data_taxonomy.DataAttributeBinding()
+        client.get_data_attribute_binding(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = data_taxonomy.GetDataAttributeBindingRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_create_data_attribute_empty_call_grpc():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_data_attribute),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.create_data_attribute(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = data_taxonomy.CreateDataAttributeRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_update_data_attribute_empty_call_grpc():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_data_attribute),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.update_data_attribute(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = data_taxonomy.UpdateDataAttributeRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_delete_data_attribute_empty_call_grpc():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_data_attribute),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.delete_data_attribute(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = data_taxonomy.DeleteDataAttributeRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_list_data_attributes_empty_call_grpc():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_attributes),
+            '__call__') as call:
+        call.return_value = data_taxonomy.ListDataAttributesResponse()
+        client.list_data_attributes(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = data_taxonomy.ListDataAttributesRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_get_data_attribute_empty_call_grpc():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_data_attribute),
+            '__call__') as call:
+        call.return_value = data_taxonomy.DataAttribute()
+        client.get_data_attribute(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = data_taxonomy.GetDataAttributeRequest()
+
+        assert args[0] == request_msg
+
+
+def test_transport_kind_grpc_asyncio():
+    transport = DataTaxonomyServiceAsyncClient.get_transport_class("grpc_asyncio")(
+        credentials=async_anonymous_credentials()
+    )
+    assert transport.kind == "grpc_asyncio"
+
+
+def test_initialize_client_w_grpc_asyncio():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio"
+    )
+    assert client is not None
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_create_data_taxonomy_empty_call_grpc_asyncio():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_data_taxonomy),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        await client.create_data_taxonomy(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = gcd_data_taxonomy.CreateDataTaxonomyRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_update_data_taxonomy_empty_call_grpc_asyncio():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_data_taxonomy),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        await client.update_data_taxonomy(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = gcd_data_taxonomy.UpdateDataTaxonomyRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_delete_data_taxonomy_empty_call_grpc_asyncio():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_data_taxonomy),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        await client.delete_data_taxonomy(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = data_taxonomy.DeleteDataTaxonomyRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_list_data_taxonomies_empty_call_grpc_asyncio():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_taxonomies),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(data_taxonomy.ListDataTaxonomiesResponse(
+            next_page_token='next_page_token_value',
+            unreachable_locations=['unreachable_locations_value'],
+        ))
+        await client.list_data_taxonomies(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = data_taxonomy.ListDataTaxonomiesRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_get_data_taxonomy_empty_call_grpc_asyncio():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_data_taxonomy),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(data_taxonomy.DataTaxonomy(
+            name='name_value',
+            uid='uid_value',
+            description='description_value',
+            display_name='display_name_value',
+            attribute_count=1628,
+            etag='etag_value',
+            class_count=1182,
+        ))
+        await client.get_data_taxonomy(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = data_taxonomy.GetDataTaxonomyRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_create_data_attribute_binding_empty_call_grpc_asyncio():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_data_attribute_binding),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        await client.create_data_attribute_binding(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = data_taxonomy.CreateDataAttributeBindingRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_update_data_attribute_binding_empty_call_grpc_asyncio():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_data_attribute_binding),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        await client.update_data_attribute_binding(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = data_taxonomy.UpdateDataAttributeBindingRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_delete_data_attribute_binding_empty_call_grpc_asyncio():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_data_attribute_binding),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        await client.delete_data_attribute_binding(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = data_taxonomy.DeleteDataAttributeBindingRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_list_data_attribute_bindings_empty_call_grpc_asyncio():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_attribute_bindings),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(data_taxonomy.ListDataAttributeBindingsResponse(
+            next_page_token='next_page_token_value',
+            unreachable_locations=['unreachable_locations_value'],
+        ))
+        await client.list_data_attribute_bindings(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = data_taxonomy.ListDataAttributeBindingsRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_get_data_attribute_binding_empty_call_grpc_asyncio():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_data_attribute_binding),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(data_taxonomy.DataAttributeBinding(
+            name='name_value',
+            uid='uid_value',
+            description='description_value',
+            display_name='display_name_value',
+            etag='etag_value',
+            attributes=['attributes_value'],
+        ))
+        await client.get_data_attribute_binding(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = data_taxonomy.GetDataAttributeBindingRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_create_data_attribute_empty_call_grpc_asyncio():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_data_attribute),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        await client.create_data_attribute(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = data_taxonomy.CreateDataAttributeRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_update_data_attribute_empty_call_grpc_asyncio():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_data_attribute),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        await client.update_data_attribute(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = data_taxonomy.UpdateDataAttributeRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_delete_data_attribute_empty_call_grpc_asyncio():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_data_attribute),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        await client.delete_data_attribute(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = data_taxonomy.DeleteDataAttributeRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_list_data_attributes_empty_call_grpc_asyncio():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_data_attributes),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(data_taxonomy.ListDataAttributesResponse(
+            next_page_token='next_page_token_value',
+            unreachable_locations=['unreachable_locations_value'],
+        ))
+        await client.list_data_attributes(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = data_taxonomy.ListDataAttributesRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_get_data_attribute_empty_call_grpc_asyncio():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_data_attribute),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(data_taxonomy.DataAttribute(
+            name='name_value',
+            uid='uid_value',
+            description='description_value',
+            display_name='display_name_value',
+            parent_id='parent_id_value',
+            attribute_count=1628,
+            etag='etag_value',
+        ))
+        await client.get_data_attribute(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = data_taxonomy.GetDataAttributeRequest()
+
+        assert args[0] == request_msg
+
+
+def test_transport_grpc_default():
+    # A client should use the gRPC transport by default.
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    assert isinstance(
+        client.transport,
+        transports.DataTaxonomyServiceGrpcTransport,
+    )
+
+def test_data_taxonomy_service_base_transport_error():
+    # Passing both a credentials object and credentials_file should raise an error
+    with pytest.raises(core_exceptions.DuplicateCredentialArgs):
+        transport = transports.DataTaxonomyServiceTransport(
+            credentials=ga_credentials.AnonymousCredentials(),
+            credentials_file="credentials.json"
+        )
+
+
+def test_data_taxonomy_service_base_transport():
+    # Instantiate the base transport.
+    with mock.patch('google.cloud.dataplex_v1.services.data_taxonomy_service.transports.DataTaxonomyServiceTransport.__init__') as Transport:
+        Transport.return_value = None
+        transport = transports.DataTaxonomyServiceTransport(
+            credentials=ga_credentials.AnonymousCredentials(),
+        )
+
+    # Every method on the transport should just blindly
+    # raise NotImplementedError.
+    methods = (
+        'create_data_taxonomy',
+        'update_data_taxonomy',
+        'delete_data_taxonomy',
+        'list_data_taxonomies',
+        'get_data_taxonomy',
+        'create_data_attribute_binding',
+        'update_data_attribute_binding',
+        'delete_data_attribute_binding',
+        'list_data_attribute_bindings',
+        'get_data_attribute_binding',
+        'create_data_attribute',
+        'update_data_attribute',
+        'delete_data_attribute',
+        'list_data_attributes',
+        'get_data_attribute',
+        'get_location',
+        'list_locations',
+        'get_operation',
+        'cancel_operation',
+        'delete_operation',
+        'list_operations',
+    )
+    for method in methods:
+        with pytest.raises(NotImplementedError):
+            getattr(transport, method)(request=object())
+
+    with pytest.raises(NotImplementedError):
+        transport.close()
+
+    # Additionally, the LRO client (a property) should
+    # also raise NotImplementedError
+    with pytest.raises(NotImplementedError):
+        transport.operations_client
+
+    # Catch all for all remaining methods and properties
+    remainder = [
+        'kind',
+    ]
+    for r in remainder:
+        with pytest.raises(NotImplementedError):
+            getattr(transport, r)()
+
+
+def test_data_taxonomy_service_base_transport_with_credentials_file():
+    # Instantiate the base transport with a credentials file
+    with mock.patch.object(google.auth, 'load_credentials_from_file', autospec=True) as load_creds, mock.patch('google.cloud.dataplex_v1.services.data_taxonomy_service.transports.DataTaxonomyServiceTransport._prep_wrapped_messages') as Transport:
+        Transport.return_value = None
+        load_creds.return_value = (ga_credentials.AnonymousCredentials(), None)
+        transport = transports.DataTaxonomyServiceTransport(
+            credentials_file="credentials.json",
+            quota_project_id="octopus",
+        )
+        load_creds.assert_called_once_with("credentials.json",
+            scopes=None,
+            default_scopes=(
+            'https://www.googleapis.com/auth/cloud-platform',
+),
+            quota_project_id="octopus",
+        )
+
+
+def test_data_taxonomy_service_base_transport_with_adc():
+    # Test the default credentials are used if credentials and credentials_file are None.
+    with mock.patch.object(google.auth, 'default', autospec=True) as adc, mock.patch('google.cloud.dataplex_v1.services.data_taxonomy_service.transports.DataTaxonomyServiceTransport._prep_wrapped_messages') as Transport:
+        Transport.return_value = None
+        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
+        transport = transports.DataTaxonomyServiceTransport()
+        adc.assert_called_once()
+
+
+def test_data_taxonomy_service_auth_adc():
+    # If no credentials are provided, we should use ADC credentials.
+    with mock.patch.object(google.auth, 'default', autospec=True) as adc:
+        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
+        DataTaxonomyServiceClient()
+        adc.assert_called_once_with(
+            scopes=None,
+            default_scopes=(
+            'https://www.googleapis.com/auth/cloud-platform',
+),
+            quota_project_id=None,
+        )
+
+
+@pytest.mark.parametrize(
+    "transport_class",
+    [
+        transports.DataTaxonomyServiceGrpcTransport,
+        transports.DataTaxonomyServiceGrpcAsyncIOTransport,
+    ],
+)
+def test_data_taxonomy_service_transport_auth_adc(transport_class):
+    # If credentials and host are not provided, the transport class should use
+    # ADC credentials.
+    with mock.patch.object(google.auth, 'default', autospec=True) as adc:
+        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
+        transport_class(quota_project_id="octopus", scopes=["1", "2"])
+        adc.assert_called_once_with(
+            scopes=["1", "2"],
+            default_scopes=(                'https://www.googleapis.com/auth/cloud-platform',),
+            quota_project_id="octopus",
+        )
+
+
+@pytest.mark.parametrize(
+    "transport_class",
+    [
+        transports.DataTaxonomyServiceGrpcTransport,
+        transports.DataTaxonomyServiceGrpcAsyncIOTransport,
+    ],
+)
+def test_data_taxonomy_service_transport_auth_gdch_credentials(transport_class):
+    host = 'https://language.com'
+    api_audience_tests = [None, 'https://language2.com']
+    api_audience_expect = [host, 'https://language2.com']
+    for t, e in zip(api_audience_tests, api_audience_expect):
+        with mock.patch.object(google.auth, 'default', autospec=True) as adc:
+            gdch_mock = mock.MagicMock()
+            type(gdch_mock).with_gdch_audience = mock.PropertyMock(return_value=gdch_mock)
+            adc.return_value = (gdch_mock, None)
+            transport_class(host=host, api_audience=t)
+            gdch_mock.with_gdch_audience.assert_called_once_with(
+                e
+            )
+
+
+@pytest.mark.parametrize(
+    "transport_class,grpc_helpers",
+    [
+        (transports.DataTaxonomyServiceGrpcTransport, grpc_helpers),
+        (transports.DataTaxonomyServiceGrpcAsyncIOTransport, grpc_helpers_async)
+    ],
+)
+def test_data_taxonomy_service_transport_create_channel(transport_class, grpc_helpers):
+    # If credentials and host are not provided, the transport class should use
+    # ADC credentials.
+    with mock.patch.object(google.auth, "default", autospec=True) as adc, mock.patch.object(
+        grpc_helpers, "create_channel", autospec=True
+    ) as create_channel:
+        creds = ga_credentials.AnonymousCredentials()
+        adc.return_value = (creds, None)
+        transport_class(
+            quota_project_id="octopus",
+            scopes=["1", "2"]
+        )
+
+        create_channel.assert_called_with(
+            "dataplex.googleapis.com:443",
+            credentials=creds,
+            credentials_file=None,
+            quota_project_id="octopus",
+            default_scopes=(
+                'https://www.googleapis.com/auth/cloud-platform',
+),
+            scopes=["1", "2"],
+            default_host="dataplex.googleapis.com",
+            ssl_credentials=None,
+            options=[
+                ("grpc.max_send_message_length", -1),
+                ("grpc.max_receive_message_length", -1),
+            ],
+        )
+
+
+@pytest.mark.parametrize("transport_class", [transports.DataTaxonomyServiceGrpcTransport, transports.DataTaxonomyServiceGrpcAsyncIOTransport])
+def test_data_taxonomy_service_grpc_transport_client_cert_source_for_mtls(
+    transport_class
+):
+    cred = ga_credentials.AnonymousCredentials()
+
+    # Check ssl_channel_credentials is used if provided.
+    with mock.patch.object(transport_class, "create_channel") as mock_create_channel:
+        mock_ssl_channel_creds = mock.Mock()
+        transport_class(
+            host="squid.clam.whelk",
+            credentials=cred,
+            ssl_channel_credentials=mock_ssl_channel_creds
+        )
+        mock_create_channel.assert_called_once_with(
+            "squid.clam.whelk:443",
+            credentials=cred,
+            credentials_file=None,
+            scopes=None,
+            ssl_credentials=mock_ssl_channel_creds,
+            quota_project_id=None,
+            options=[
+                ("grpc.max_send_message_length", -1),
+                ("grpc.max_receive_message_length", -1),
+            ],
+        )
+
+    # Check if ssl_channel_credentials is not provided, then client_cert_source_for_mtls
+    # is used.
+    with mock.patch.object(transport_class, "create_channel", return_value=mock.Mock()):
+        with mock.patch("grpc.ssl_channel_credentials") as mock_ssl_cred:
+            transport_class(
+                credentials=cred,
+                client_cert_source_for_mtls=client_cert_source_callback
+            )
+            expected_cert, expected_key = client_cert_source_callback()
+            mock_ssl_cred.assert_called_once_with(
+                certificate_chain=expected_cert,
+                private_key=expected_key
+            )
+
+
+@pytest.mark.parametrize("transport_name", [
+    "grpc",
+    "grpc_asyncio",
+])
+def test_data_taxonomy_service_host_no_port(transport_name):
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        client_options=client_options.ClientOptions(api_endpoint='dataplex.googleapis.com'),
+         transport=transport_name,
+    )
+    assert client.transport._host == (
+        'dataplex.googleapis.com:443'
+    )
+
+@pytest.mark.parametrize("transport_name", [
+    "grpc",
+    "grpc_asyncio",
+])
+def test_data_taxonomy_service_host_with_port(transport_name):
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        client_options=client_options.ClientOptions(api_endpoint='dataplex.googleapis.com:8000'),
+        transport=transport_name,
+    )
+    assert client.transport._host == (
+        'dataplex.googleapis.com:8000'
+    )
+
+def test_data_taxonomy_service_grpc_transport_channel():
+    channel = grpc.secure_channel('http://localhost/', grpc.local_channel_credentials())
+
+    # Check that channel is used if provided.
+    transport = transports.DataTaxonomyServiceGrpcTransport(
+        host="squid.clam.whelk",
+        channel=channel,
+    )
+    assert transport.grpc_channel == channel
+    assert transport._host == "squid.clam.whelk:443"
+    assert transport._ssl_channel_credentials == None
+
+
+def test_data_taxonomy_service_grpc_asyncio_transport_channel():
+    channel = aio.secure_channel('http://localhost/', grpc.local_channel_credentials())
+
+    # Check that channel is used if provided.
+    transport = transports.DataTaxonomyServiceGrpcAsyncIOTransport(
+        host="squid.clam.whelk",
+        channel=channel,
+    )
+    assert transport.grpc_channel == channel
+    assert transport._host == "squid.clam.whelk:443"
+    assert transport._ssl_channel_credentials == None
+
+
+# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are
+# removed from grpc/grpc_asyncio transport constructor.
+@pytest.mark.parametrize("transport_class", [transports.DataTaxonomyServiceGrpcTransport, transports.DataTaxonomyServiceGrpcAsyncIOTransport])
+def test_data_taxonomy_service_transport_channel_mtls_with_client_cert_source(
+    transport_class
+):
+    with mock.patch("grpc.ssl_channel_credentials", autospec=True) as grpc_ssl_channel_cred:
+        with mock.patch.object(transport_class, "create_channel") as grpc_create_channel:
+            mock_ssl_cred = mock.Mock()
+            grpc_ssl_channel_cred.return_value = mock_ssl_cred
+
+            mock_grpc_channel = mock.Mock()
+            grpc_create_channel.return_value = mock_grpc_channel
+
+            cred = ga_credentials.AnonymousCredentials()
+            with pytest.warns(DeprecationWarning):
+                with mock.patch.object(google.auth, 'default') as adc:
+                    adc.return_value = (cred, None)
+                    transport = transport_class(
+                        host="squid.clam.whelk",
+                        api_mtls_endpoint="mtls.squid.clam.whelk",
+                        client_cert_source=client_cert_source_callback,
+                    )
+                    adc.assert_called_once()
+
+            grpc_ssl_channel_cred.assert_called_once_with(
+                certificate_chain=b"cert bytes", private_key=b"key bytes"
+            )
+            grpc_create_channel.assert_called_once_with(
+                "mtls.squid.clam.whelk:443",
+                credentials=cred,
+                credentials_file=None,
+                scopes=None,
+                ssl_credentials=mock_ssl_cred,
+                quota_project_id=None,
+                options=[
+                    ("grpc.max_send_message_length", -1),
+                    ("grpc.max_receive_message_length", -1),
+                ],
+            )
+            assert transport.grpc_channel == mock_grpc_channel
+            assert transport._ssl_channel_credentials == mock_ssl_cred
+
+
+# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are
+# removed from grpc/grpc_asyncio transport constructor.
+@pytest.mark.parametrize("transport_class", [transports.DataTaxonomyServiceGrpcTransport, transports.DataTaxonomyServiceGrpcAsyncIOTransport])
+def test_data_taxonomy_service_transport_channel_mtls_with_adc(
+    transport_class
+):
+    mock_ssl_cred = mock.Mock()
+    with mock.patch.multiple(
+        "google.auth.transport.grpc.SslCredentials",
+        __init__=mock.Mock(return_value=None),
+        ssl_credentials=mock.PropertyMock(return_value=mock_ssl_cred),
+    ):
+        with mock.patch.object(transport_class, "create_channel") as grpc_create_channel:
+            mock_grpc_channel = mock.Mock()
+            grpc_create_channel.return_value = mock_grpc_channel
+            mock_cred = mock.Mock()
+
+            with pytest.warns(DeprecationWarning):
+                transport = transport_class(
+                    host="squid.clam.whelk",
+                    credentials=mock_cred,
+                    api_mtls_endpoint="mtls.squid.clam.whelk",
+                    client_cert_source=None,
+                )
+
+            grpc_create_channel.assert_called_once_with(
+                "mtls.squid.clam.whelk:443",
+                credentials=mock_cred,
+                credentials_file=None,
+                scopes=None,
+                ssl_credentials=mock_ssl_cred,
+                quota_project_id=None,
+                options=[
+                    ("grpc.max_send_message_length", -1),
+                    ("grpc.max_receive_message_length", -1),
+                ],
+            )
+            assert transport.grpc_channel == mock_grpc_channel
+
+
+def test_data_taxonomy_service_grpc_lro_client():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+    transport = client.transport
+
+    # Ensure that we have a api-core operations client.
+    assert isinstance(
+        transport.operations_client,
+        operations_v1.OperationsClient,
+    )
+
+    # Ensure that subsequent calls to the property send the exact same object.
+    assert transport.operations_client is transport.operations_client
+
+
+def test_data_taxonomy_service_grpc_lro_async_client():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc_asyncio',
+    )
+    transport = client.transport
+
+    # Ensure that we have a api-core operations client.
+    assert isinstance(
+        transport.operations_client,
+        operations_v1.OperationsAsyncClient,
+    )
+
+    # Ensure that subsequent calls to the property send the exact same object.
+    assert transport.operations_client is transport.operations_client
+
+
+def test_data_attribute_path():
+    project = "squid"
+    location = "clam"
+    dataTaxonomy = "whelk"
+    data_attribute_id = "octopus"
+    expected = "projects/{project}/locations/{location}/dataTaxonomies/{dataTaxonomy}/attributes/{data_attribute_id}".format(project=project, location=location, dataTaxonomy=dataTaxonomy, data_attribute_id=data_attribute_id, )
+    actual = DataTaxonomyServiceClient.data_attribute_path(project, location, dataTaxonomy, data_attribute_id)
+    assert expected == actual
+
+
+def test_parse_data_attribute_path():
+    expected = {
+        "project": "oyster",
+        "location": "nudibranch",
+        "dataTaxonomy": "cuttlefish",
+        "data_attribute_id": "mussel",
+    }
+    path = DataTaxonomyServiceClient.data_attribute_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = DataTaxonomyServiceClient.parse_data_attribute_path(path)
+    assert expected == actual
+
+def test_data_attribute_binding_path():
+    project = "winkle"
+    location = "nautilus"
+    data_attribute_binding_id = "scallop"
+    expected = "projects/{project}/locations/{location}/dataAttributeBindings/{data_attribute_binding_id}".format(project=project, location=location, data_attribute_binding_id=data_attribute_binding_id, )
+    actual = DataTaxonomyServiceClient.data_attribute_binding_path(project, location, data_attribute_binding_id)
+    assert expected == actual
+
+
+def test_parse_data_attribute_binding_path():
+    expected = {
+        "project": "abalone",
+        "location": "squid",
+        "data_attribute_binding_id": "clam",
+    }
+    path = DataTaxonomyServiceClient.data_attribute_binding_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = DataTaxonomyServiceClient.parse_data_attribute_binding_path(path)
+    assert expected == actual
+
+def test_data_taxonomy_path():
+    project = "whelk"
+    location = "octopus"
+    data_taxonomy_id = "oyster"
+    expected = "projects/{project}/locations/{location}/dataTaxonomies/{data_taxonomy_id}".format(project=project, location=location, data_taxonomy_id=data_taxonomy_id, )
+    actual = DataTaxonomyServiceClient.data_taxonomy_path(project, location, data_taxonomy_id)
+    assert expected == actual
+
+
+def test_parse_data_taxonomy_path():
+    expected = {
+        "project": "nudibranch",
+        "location": "cuttlefish",
+        "data_taxonomy_id": "mussel",
+    }
+    path = DataTaxonomyServiceClient.data_taxonomy_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = DataTaxonomyServiceClient.parse_data_taxonomy_path(path)
+    assert expected == actual
+
+def test_common_billing_account_path():
+    billing_account = "winkle"
+    expected = "billingAccounts/{billing_account}".format(billing_account=billing_account, )
+    actual = DataTaxonomyServiceClient.common_billing_account_path(billing_account)
+    assert expected == actual
+
+
+def test_parse_common_billing_account_path():
+    expected = {
+        "billing_account": "nautilus",
+    }
+    path = DataTaxonomyServiceClient.common_billing_account_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = DataTaxonomyServiceClient.parse_common_billing_account_path(path)
+    assert expected == actual
+
+def test_common_folder_path():
+    folder = "scallop"
+    expected = "folders/{folder}".format(folder=folder, )
+    actual = DataTaxonomyServiceClient.common_folder_path(folder)
+    assert expected == actual
+
+
+def test_parse_common_folder_path():
+    expected = {
+        "folder": "abalone",
+    }
+    path = DataTaxonomyServiceClient.common_folder_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = DataTaxonomyServiceClient.parse_common_folder_path(path)
+    assert expected == actual
+
+def test_common_organization_path():
+    organization = "squid"
+    expected = "organizations/{organization}".format(organization=organization, )
+    actual = DataTaxonomyServiceClient.common_organization_path(organization)
+    assert expected == actual
+
+
+def test_parse_common_organization_path():
+    expected = {
+        "organization": "clam",
+    }
+    path = DataTaxonomyServiceClient.common_organization_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = DataTaxonomyServiceClient.parse_common_organization_path(path)
+    assert expected == actual
+
+def test_common_project_path():
+    project = "whelk"
+    expected = "projects/{project}".format(project=project, )
+    actual = DataTaxonomyServiceClient.common_project_path(project)
+    assert expected == actual
+
+
+def test_parse_common_project_path():
+    expected = {
+        "project": "octopus",
+    }
+    path = DataTaxonomyServiceClient.common_project_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = DataTaxonomyServiceClient.parse_common_project_path(path)
+    assert expected == actual
+
+def test_common_location_path():
+    project = "oyster"
+    location = "nudibranch"
+    expected = "projects/{project}/locations/{location}".format(project=project, location=location, )
+    actual = DataTaxonomyServiceClient.common_location_path(project, location)
+    assert expected == actual
+
+
+def test_parse_common_location_path():
+    expected = {
+        "project": "cuttlefish",
+        "location": "mussel",
+    }
+    path = DataTaxonomyServiceClient.common_location_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = DataTaxonomyServiceClient.parse_common_location_path(path)
+    assert expected == actual
+
+
+def test_client_with_default_client_info():
+    client_info = gapic_v1.client_info.ClientInfo()
+
+    with mock.patch.object(transports.DataTaxonomyServiceTransport, '_prep_wrapped_messages') as prep:
+        client = DataTaxonomyServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            client_info=client_info,
+        )
+        prep.assert_called_once_with(client_info)
+
+    with mock.patch.object(transports.DataTaxonomyServiceTransport, '_prep_wrapped_messages') as prep:
+        transport_class = DataTaxonomyServiceClient.get_transport_class()
+        transport = transport_class(
+            credentials=ga_credentials.AnonymousCredentials(),
+            client_info=client_info,
+        )
+        prep.assert_called_once_with(client_info)
+
+
+def test_delete_operation(transport: str = "grpc"):
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.DeleteOperationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = None
+        response = client.delete_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert response is None
+@pytest.mark.asyncio
+async def test_delete_operation_async(transport: str = "grpc_asyncio"):
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.DeleteOperationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            None
+        )
+        response = await client.delete_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert response is None
+
+def test_delete_operation_field_headers():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.DeleteOperationRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
+        call.return_value =  None
+
+        client.delete_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+@pytest.mark.asyncio
+async def test_delete_operation_field_headers_async():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.DeleteOperationRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            None
+        )
+        await client.delete_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+
+def test_delete_operation_from_dict():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = None
+
+        response = client.delete_operation(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+@pytest.mark.asyncio
+async def test_delete_operation_from_dict_async():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            None
+        )
+        response = await client.delete_operation(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+
+
+def test_cancel_operation(transport: str = "grpc"):
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.CancelOperationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = None
+        response = client.cancel_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert response is None
+@pytest.mark.asyncio
+async def test_cancel_operation_async(transport: str = "grpc_asyncio"):
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.CancelOperationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            None
+        )
+        response = await client.cancel_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert response is None
+
+def test_cancel_operation_field_headers():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.CancelOperationRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
+        call.return_value =  None
+
+        client.cancel_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+@pytest.mark.asyncio
+async def test_cancel_operation_field_headers_async():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.CancelOperationRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            None
+        )
+        await client.cancel_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+
+def test_cancel_operation_from_dict():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = None
+
+        response = client.cancel_operation(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+@pytest.mark.asyncio
+async def test_cancel_operation_from_dict_async():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            None
+        )
+        response = await client.cancel_operation(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+
+
+def test_get_operation(transport: str = "grpc"):
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.GetOperationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation()
+        response = client.get_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, operations_pb2.Operation)
+@pytest.mark.asyncio
+async def test_get_operation_async(transport: str = "grpc_asyncio"):
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.GetOperationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation()
+        )
+        response = await client.get_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, operations_pb2.Operation)
+
+def test_get_operation_field_headers():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.GetOperationRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
+        call.return_value = operations_pb2.Operation()
+
+        client.get_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+@pytest.mark.asyncio
+async def test_get_operation_field_headers_async():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.GetOperationRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation()
+        )
+        await client.get_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+
+def test_get_operation_from_dict():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation()
+
+        response = client.get_operation(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+@pytest.mark.asyncio
+async def test_get_operation_from_dict_async():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation()
+        )
+        response = await client.get_operation(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+
+
+def test_list_operations(transport: str = "grpc"):
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.ListOperationsRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.ListOperationsResponse()
+        response = client.list_operations(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, operations_pb2.ListOperationsResponse)
+@pytest.mark.asyncio
+async def test_list_operations_async(transport: str = "grpc_asyncio"):
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.ListOperationsRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.ListOperationsResponse()
+        )
+        response = await client.list_operations(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, operations_pb2.ListOperationsResponse)
+
+def test_list_operations_field_headers():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.ListOperationsRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
+        call.return_value = operations_pb2.ListOperationsResponse()
+
+        client.list_operations(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+@pytest.mark.asyncio
+async def test_list_operations_field_headers_async():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.ListOperationsRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.ListOperationsResponse()
+        )
+        await client.list_operations(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+
+def test_list_operations_from_dict():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.ListOperationsResponse()
+
+        response = client.list_operations(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+@pytest.mark.asyncio
+async def test_list_operations_from_dict_async():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.ListOperationsResponse()
+        )
+        response = await client.list_operations(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+
+
+def test_list_locations(transport: str = "grpc"):
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = locations_pb2.ListLocationsRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = locations_pb2.ListLocationsResponse()
+        response = client.list_locations(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, locations_pb2.ListLocationsResponse)
+@pytest.mark.asyncio
+async def test_list_locations_async(transport: str = "grpc_asyncio"):
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = locations_pb2.ListLocationsRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            locations_pb2.ListLocationsResponse()
+        )
+        response = await client.list_locations(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, locations_pb2.ListLocationsResponse)
+
+def test_list_locations_field_headers():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = locations_pb2.ListLocationsRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
+        call.return_value = locations_pb2.ListLocationsResponse()
+
+        client.list_locations(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+@pytest.mark.asyncio
+async def test_list_locations_field_headers_async():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = locations_pb2.ListLocationsRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            locations_pb2.ListLocationsResponse()
+        )
+        await client.list_locations(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+
+def test_list_locations_from_dict():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = locations_pb2.ListLocationsResponse()
+
+        response = client.list_locations(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+@pytest.mark.asyncio
+async def test_list_locations_from_dict_async():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            locations_pb2.ListLocationsResponse()
+        )
+        response = await client.list_locations(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+
+
+def test_get_location(transport: str = "grpc"):
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = locations_pb2.GetLocationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_location), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = locations_pb2.Location()
+        response = client.get_location(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, locations_pb2.Location)
+@pytest.mark.asyncio
+async def test_get_location_async(transport: str = "grpc_asyncio"):
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = locations_pb2.GetLocationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_location), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            locations_pb2.Location()
+        )
+        response = await client.get_location(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, locations_pb2.Location)
+
+def test_get_location_field_headers():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials())
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = locations_pb2.GetLocationRequest()
+    request.name = "locations/abc"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_location), "__call__") as call:
+        call.return_value = locations_pb2.Location()
+
+        client.get_location(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations/abc",) in kw["metadata"]
+@pytest.mark.asyncio
+async def test_get_location_field_headers_async():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials()
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = locations_pb2.GetLocationRequest()
+    request.name = "locations/abc"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_location), "__call__") as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            locations_pb2.Location()
+        )
+        await client.get_location(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations/abc",) in kw["metadata"]
+
+def test_get_location_from_dict():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = locations_pb2.Location()
+
+        response = client.get_location(
+            request={
+                "name": "locations/abc",
+            }
+        )
+        call.assert_called()
+@pytest.mark.asyncio
+async def test_get_location_from_dict_async():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            locations_pb2.Location()
+        )
+        response = await client.get_location(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+
+
+def test_transport_close_grpc():
+    client = DataTaxonomyServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc"
+    )
+    with mock.patch.object(type(getattr(client.transport, "_grpc_channel")), "close") as close:
+        with client:
+            close.assert_not_called()
+        close.assert_called_once()
+
+
+@pytest.mark.asyncio
+async def test_transport_close_grpc_asyncio():
+    client = DataTaxonomyServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio"
+    )
+    with mock.patch.object(type(getattr(client.transport, "_grpc_channel")), "close") as close:
+        async with client:
+            close.assert_not_called()
+        close.assert_called_once()
+
+
+def test_client_ctx():
+    transports = [
+        'grpc',
+    ]
+    for transport in transports:
+        client = DataTaxonomyServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport=transport
+        )
+        # Test client calls underlying transport.
+        with mock.patch.object(type(client.transport), "close") as close:
+            close.assert_not_called()
+            with client:
+                pass
+            close.assert_called()
+
+@pytest.mark.parametrize("client_class,transport_class", [
+    (DataTaxonomyServiceClient, transports.DataTaxonomyServiceGrpcTransport),
+    (DataTaxonomyServiceAsyncClient, transports.DataTaxonomyServiceGrpcAsyncIOTransport),
+])
+def test_api_key_credentials(client_class, transport_class):
+    with mock.patch.object(
+        google.auth._default, "get_api_key_credentials", create=True
+    ) as get_api_key_credentials:
+        mock_cred = mock.Mock()
+        get_api_key_credentials.return_value = mock_cred
+        options = client_options.ClientOptions()
+        options.api_key = "api_key"
+        with mock.patch.object(transport_class, "__init__") as patched:
+            patched.return_value = None
+            client = client_class(client_options=options)
+            patched.assert_called_once_with(
+                credentials=mock_cred,
+                credentials_file=None,
+                host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
+                scopes=None,
+                client_cert_source_for_mtls=None,
+                quota_project_id=None,
+                client_info=transports.base.DEFAULT_CLIENT_INFO,
+                always_use_jwt_access=True,
+                api_audience=None,
+            )
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/tests/unit/gapic/dataplex_v1/test_dataplex_service.py b/owl-bot-staging/google-cloud-dataplex/v1/tests/unit/gapic/dataplex_v1/test_dataplex_service.py
new file mode 100644
index 000000000000..40bd69b6232e
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/tests/unit/gapic/dataplex_v1/test_dataplex_service.py
@@ -0,0 +1,16649 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+import os
+# try/except added for compatibility with python < 3.8
+try:
+    from unittest import mock
+    from unittest.mock import AsyncMock  # pragma: NO COVER
+except ImportError:  # pragma: NO COVER
+    import mock
+
+import grpc
+from grpc.experimental import aio
+import math
+import pytest
+from google.api_core import api_core_version
+from proto.marshal.rules.dates import DurationRule, TimestampRule
+from proto.marshal.rules import wrappers
+
+try:
+    from google.auth.aio import credentials as ga_credentials_async
+    HAS_GOOGLE_AUTH_AIO = True
+except ImportError: # pragma: NO COVER
+    HAS_GOOGLE_AUTH_AIO = False
+
+from google.api_core import client_options
+from google.api_core import exceptions as core_exceptions
+from google.api_core import future
+from google.api_core import gapic_v1
+from google.api_core import grpc_helpers
+from google.api_core import grpc_helpers_async
+from google.api_core import operation
+from google.api_core import operation_async  # type: ignore
+from google.api_core import operations_v1
+from google.api_core import path_template
+from google.api_core import retry as retries
+from google.auth import credentials as ga_credentials
+from google.auth.exceptions import MutualTLSChannelError
+from google.cloud.dataplex_v1.services.dataplex_service import DataplexServiceAsyncClient
+from google.cloud.dataplex_v1.services.dataplex_service import DataplexServiceClient
+from google.cloud.dataplex_v1.services.dataplex_service import pagers
+from google.cloud.dataplex_v1.services.dataplex_service import transports
+from google.cloud.dataplex_v1.types import analyze
+from google.cloud.dataplex_v1.types import resources
+from google.cloud.dataplex_v1.types import service
+from google.cloud.dataplex_v1.types import tasks
+from google.cloud.location import locations_pb2
+from google.iam.v1 import iam_policy_pb2  # type: ignore
+from google.iam.v1 import options_pb2  # type: ignore
+from google.iam.v1 import policy_pb2  # type: ignore
+from google.longrunning import operations_pb2 # type: ignore
+from google.oauth2 import service_account
+from google.protobuf import duration_pb2  # type: ignore
+from google.protobuf import empty_pb2  # type: ignore
+from google.protobuf import field_mask_pb2  # type: ignore
+from google.protobuf import timestamp_pb2  # type: ignore
+import google.auth
+
+
+async def mock_async_gen(data, chunk_size=1):
+    for i in range(0, len(data)):  # pragma: NO COVER
+        chunk = data[i : i + chunk_size]
+        yield chunk.encode("utf-8")
+
+def client_cert_source_callback():
+    return b"cert bytes", b"key bytes"
+
+# TODO: use async auth anon credentials by default once the minimum version of google-auth is upgraded.
+# See related issue: https://github.com/googleapis/gapic-generator-python/issues/2107.
+def async_anonymous_credentials():
+    if HAS_GOOGLE_AUTH_AIO:
+        return ga_credentials_async.AnonymousCredentials()
+    return ga_credentials.AnonymousCredentials()
+
+# If default endpoint is localhost, then default mtls endpoint will be the same.
+# This method modifies the default endpoint so the client can produce a different
+# mtls endpoint for endpoint testing purposes.
+def modify_default_endpoint(client):
+    return "foo.googleapis.com" if ("localhost" in client.DEFAULT_ENDPOINT) else client.DEFAULT_ENDPOINT
+
+# If default endpoint template is localhost, then default mtls endpoint will be the same.
+# This method modifies the default endpoint template so the client can produce a different
+# mtls endpoint for endpoint testing purposes.
+def modify_default_endpoint_template(client):
+    return "test.{UNIVERSE_DOMAIN}" if ("localhost" in client._DEFAULT_ENDPOINT_TEMPLATE) else client._DEFAULT_ENDPOINT_TEMPLATE
+
+
+def test__get_default_mtls_endpoint():
+    api_endpoint = "example.googleapis.com"
+    api_mtls_endpoint = "example.mtls.googleapis.com"
+    sandbox_endpoint = "example.sandbox.googleapis.com"
+    sandbox_mtls_endpoint = "example.mtls.sandbox.googleapis.com"
+    non_googleapi = "api.example.com"
+
+    assert DataplexServiceClient._get_default_mtls_endpoint(None) is None
+    assert DataplexServiceClient._get_default_mtls_endpoint(api_endpoint) == api_mtls_endpoint
+    assert DataplexServiceClient._get_default_mtls_endpoint(api_mtls_endpoint) == api_mtls_endpoint
+    assert DataplexServiceClient._get_default_mtls_endpoint(sandbox_endpoint) == sandbox_mtls_endpoint
+    assert DataplexServiceClient._get_default_mtls_endpoint(sandbox_mtls_endpoint) == sandbox_mtls_endpoint
+    assert DataplexServiceClient._get_default_mtls_endpoint(non_googleapi) == non_googleapi
+
+def test__read_environment_variables():
+    assert DataplexServiceClient._read_environment_variables() == (False, "auto", None)
+
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
+        assert DataplexServiceClient._read_environment_variables() == (True, "auto", None)
+
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "false"}):
+        assert DataplexServiceClient._read_environment_variables() == (False, "auto", None)
+
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}):
+        with pytest.raises(ValueError) as excinfo:
+            DataplexServiceClient._read_environment_variables()
+    assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`"
+
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
+        assert DataplexServiceClient._read_environment_variables() == (False, "never", None)
+
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
+        assert DataplexServiceClient._read_environment_variables() == (False, "always", None)
+
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "auto"}):
+        assert DataplexServiceClient._read_environment_variables() == (False, "auto", None)
+
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}):
+        with pytest.raises(MutualTLSChannelError) as excinfo:
+            DataplexServiceClient._read_environment_variables()
+    assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`"
+
+    with mock.patch.dict(os.environ, {"GOOGLE_CLOUD_UNIVERSE_DOMAIN": "foo.com"}):
+        assert DataplexServiceClient._read_environment_variables() == (False, "auto", "foo.com")
+
+def test__get_client_cert_source():
+    mock_provided_cert_source = mock.Mock()
+    mock_default_cert_source = mock.Mock()
+
+    assert DataplexServiceClient._get_client_cert_source(None, False) is None
+    assert DataplexServiceClient._get_client_cert_source(mock_provided_cert_source, False) is None
+    assert DataplexServiceClient._get_client_cert_source(mock_provided_cert_source, True) == mock_provided_cert_source
+
+    with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True):
+        with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=mock_default_cert_source):
+            assert DataplexServiceClient._get_client_cert_source(None, True) is mock_default_cert_source
+            assert DataplexServiceClient._get_client_cert_source(mock_provided_cert_source, "true") is mock_provided_cert_source
+
+@mock.patch.object(DataplexServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DataplexServiceClient))
+@mock.patch.object(DataplexServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DataplexServiceAsyncClient))
+def test__get_api_endpoint():
+    api_override = "foo.com"
+    mock_client_cert_source = mock.Mock()
+    default_universe = DataplexServiceClient._DEFAULT_UNIVERSE
+    default_endpoint = DataplexServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=default_universe)
+    mock_universe = "bar.com"
+    mock_endpoint = DataplexServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=mock_universe)
+
+    assert DataplexServiceClient._get_api_endpoint(api_override, mock_client_cert_source, default_universe, "always") == api_override
+    assert DataplexServiceClient._get_api_endpoint(None, mock_client_cert_source, default_universe, "auto") == DataplexServiceClient.DEFAULT_MTLS_ENDPOINT
+    assert DataplexServiceClient._get_api_endpoint(None, None, default_universe, "auto") == default_endpoint
+    assert DataplexServiceClient._get_api_endpoint(None, None, default_universe, "always") == DataplexServiceClient.DEFAULT_MTLS_ENDPOINT
+    assert DataplexServiceClient._get_api_endpoint(None, mock_client_cert_source, default_universe, "always") == DataplexServiceClient.DEFAULT_MTLS_ENDPOINT
+    assert DataplexServiceClient._get_api_endpoint(None, None, mock_universe, "never") == mock_endpoint
+    assert DataplexServiceClient._get_api_endpoint(None, None, default_universe, "never") == default_endpoint
+
+    with pytest.raises(MutualTLSChannelError) as excinfo:
+        DataplexServiceClient._get_api_endpoint(None, mock_client_cert_source, mock_universe, "auto")
+    assert str(excinfo.value) == "mTLS is not supported in any universe other than googleapis.com."
+
+
+def test__get_universe_domain():
+    client_universe_domain = "foo.com"
+    universe_domain_env = "bar.com"
+
+    assert DataplexServiceClient._get_universe_domain(client_universe_domain, universe_domain_env) == client_universe_domain
+    assert DataplexServiceClient._get_universe_domain(None, universe_domain_env) == universe_domain_env
+    assert DataplexServiceClient._get_universe_domain(None, None) == DataplexServiceClient._DEFAULT_UNIVERSE
+
+    with pytest.raises(ValueError) as excinfo:
+        DataplexServiceClient._get_universe_domain("", None)
+    assert str(excinfo.value) == "Universe Domain cannot be an empty string."
+
+
+@pytest.mark.parametrize("client_class,transport_name", [
+    (DataplexServiceClient, "grpc"),
+    (DataplexServiceAsyncClient, "grpc_asyncio"),
+])
+def test_dataplex_service_client_from_service_account_info(client_class, transport_name):
+    creds = ga_credentials.AnonymousCredentials()
+    with mock.patch.object(service_account.Credentials, 'from_service_account_info') as factory:
+        factory.return_value = creds
+        info = {"valid": True}
+        client = client_class.from_service_account_info(info, transport=transport_name)
+        assert client.transport._credentials == creds
+        assert isinstance(client, client_class)
+
+        assert client.transport._host == (
+            'dataplex.googleapis.com:443'
+        )
+
+
+@pytest.mark.parametrize("transport_class,transport_name", [
+    (transports.DataplexServiceGrpcTransport, "grpc"),
+    (transports.DataplexServiceGrpcAsyncIOTransport, "grpc_asyncio"),
+])
+def test_dataplex_service_client_service_account_always_use_jwt(transport_class, transport_name):
+    with mock.patch.object(service_account.Credentials, 'with_always_use_jwt_access', create=True) as use_jwt:
+        creds = service_account.Credentials(None, None, None)
+        transport = transport_class(credentials=creds, always_use_jwt_access=True)
+        use_jwt.assert_called_once_with(True)
+
+    with mock.patch.object(service_account.Credentials, 'with_always_use_jwt_access', create=True) as use_jwt:
+        creds = service_account.Credentials(None, None, None)
+        transport = transport_class(credentials=creds, always_use_jwt_access=False)
+        use_jwt.assert_not_called()
+
+
+@pytest.mark.parametrize("client_class,transport_name", [
+    (DataplexServiceClient, "grpc"),
+    (DataplexServiceAsyncClient, "grpc_asyncio"),
+])
+def test_dataplex_service_client_from_service_account_file(client_class, transport_name):
+    creds = ga_credentials.AnonymousCredentials()
+    with mock.patch.object(service_account.Credentials, 'from_service_account_file') as factory:
+        factory.return_value = creds
+        client = client_class.from_service_account_file("dummy/file/path.json", transport=transport_name)
+        assert client.transport._credentials == creds
+        assert isinstance(client, client_class)
+
+        client = client_class.from_service_account_json("dummy/file/path.json", transport=transport_name)
+        assert client.transport._credentials == creds
+        assert isinstance(client, client_class)
+
+        assert client.transport._host == (
+            'dataplex.googleapis.com:443'
+        )
+
+
+def test_dataplex_service_client_get_transport_class():
+    transport = DataplexServiceClient.get_transport_class()
+    available_transports = [
+        transports.DataplexServiceGrpcTransport,
+    ]
+    assert transport in available_transports
+
+    transport = DataplexServiceClient.get_transport_class("grpc")
+    assert transport == transports.DataplexServiceGrpcTransport
+
+
+@pytest.mark.parametrize("client_class,transport_class,transport_name", [
+    (DataplexServiceClient, transports.DataplexServiceGrpcTransport, "grpc"),
+    (DataplexServiceAsyncClient, transports.DataplexServiceGrpcAsyncIOTransport, "grpc_asyncio"),
+])
+@mock.patch.object(DataplexServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DataplexServiceClient))
+@mock.patch.object(DataplexServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DataplexServiceAsyncClient))
+def test_dataplex_service_client_client_options(client_class, transport_class, transport_name):
+    # Check that if channel is provided we won't create a new one.
+    with mock.patch.object(DataplexServiceClient, 'get_transport_class') as gtc:
+        transport = transport_class(
+            credentials=ga_credentials.AnonymousCredentials()
+        )
+        client = client_class(transport=transport)
+        gtc.assert_not_called()
+
+    # Check that if channel is provided via str we will create a new one.
+    with mock.patch.object(DataplexServiceClient, 'get_transport_class') as gtc:
+        client = client_class(transport=transport_name)
+        gtc.assert_called()
+
+    # Check the case api_endpoint is provided.
+    options = client_options.ClientOptions(api_endpoint="squid.clam.whelk")
+    with mock.patch.object(transport_class, '__init__') as patched:
+        patched.return_value = None
+        client = client_class(transport=transport_name, client_options=options)
+        patched.assert_called_once_with(
+            credentials=None,
+            credentials_file=None,
+            host="squid.clam.whelk",
+            scopes=None,
+            client_cert_source_for_mtls=None,
+            quota_project_id=None,
+            client_info=transports.base.DEFAULT_CLIENT_INFO,
+            always_use_jwt_access=True,
+            api_audience=None,
+        )
+
+    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is
+    # "never".
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
+        with mock.patch.object(transport_class, '__init__') as patched:
+            patched.return_value = None
+            client = client_class(transport=transport_name)
+            patched.assert_called_once_with(
+                credentials=None,
+                credentials_file=None,
+                host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
+                scopes=None,
+                client_cert_source_for_mtls=None,
+                quota_project_id=None,
+                client_info=transports.base.DEFAULT_CLIENT_INFO,
+                always_use_jwt_access=True,
+                api_audience=None,
+            )
+
+    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is
+    # "always".
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
+        with mock.patch.object(transport_class, '__init__') as patched:
+            patched.return_value = None
+            client = client_class(transport=transport_name)
+            patched.assert_called_once_with(
+                credentials=None,
+                credentials_file=None,
+                host=client.DEFAULT_MTLS_ENDPOINT,
+                scopes=None,
+                client_cert_source_for_mtls=None,
+                quota_project_id=None,
+                client_info=transports.base.DEFAULT_CLIENT_INFO,
+                always_use_jwt_access=True,
+                api_audience=None,
+            )
+
+    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT has
+    # unsupported value.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}):
+        with pytest.raises(MutualTLSChannelError) as excinfo:
+            client = client_class(transport=transport_name)
+    assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`"
+
+    # Check the case GOOGLE_API_USE_CLIENT_CERTIFICATE has unsupported value.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}):
+        with pytest.raises(ValueError) as excinfo:
+            client = client_class(transport=transport_name)
+    assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`"
+
+    # Check the case quota_project_id is provided
+    options = client_options.ClientOptions(quota_project_id="octopus")
+    with mock.patch.object(transport_class, '__init__') as patched:
+        patched.return_value = None
+        client = client_class(client_options=options, transport=transport_name)
+        patched.assert_called_once_with(
+            credentials=None,
+            credentials_file=None,
+            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
+            scopes=None,
+            client_cert_source_for_mtls=None,
+            quota_project_id="octopus",
+            client_info=transports.base.DEFAULT_CLIENT_INFO,
+            always_use_jwt_access=True,
+            api_audience=None,
+        )
+    # Check the case api_endpoint is provided
+    options = client_options.ClientOptions(api_audience="https://language.googleapis.com")
+    with mock.patch.object(transport_class, '__init__') as patched:
+        patched.return_value = None
+        client = client_class(client_options=options, transport=transport_name)
+        patched.assert_called_once_with(
+            credentials=None,
+            credentials_file=None,
+            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
+            scopes=None,
+            client_cert_source_for_mtls=None,
+            quota_project_id=None,
+            client_info=transports.base.DEFAULT_CLIENT_INFO,
+            always_use_jwt_access=True,
+            api_audience="https://language.googleapis.com"
+        )
+
+@pytest.mark.parametrize("client_class,transport_class,transport_name,use_client_cert_env", [
+    (DataplexServiceClient, transports.DataplexServiceGrpcTransport, "grpc", "true"),
+    (DataplexServiceAsyncClient, transports.DataplexServiceGrpcAsyncIOTransport, "grpc_asyncio", "true"),
+    (DataplexServiceClient, transports.DataplexServiceGrpcTransport, "grpc", "false"),
+    (DataplexServiceAsyncClient, transports.DataplexServiceGrpcAsyncIOTransport, "grpc_asyncio", "false"),
+])
+@mock.patch.object(DataplexServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DataplexServiceClient))
+@mock.patch.object(DataplexServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DataplexServiceAsyncClient))
+@mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "auto"})
+def test_dataplex_service_client_mtls_env_auto(client_class, transport_class, transport_name, use_client_cert_env):
+    # This tests the endpoint autoswitch behavior. Endpoint is autoswitched to the default
+    # mtls endpoint, if GOOGLE_API_USE_CLIENT_CERTIFICATE is "true" and client cert exists.
+
+    # Check the case client_cert_source is provided. Whether client cert is used depends on
+    # GOOGLE_API_USE_CLIENT_CERTIFICATE value.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}):
+        options = client_options.ClientOptions(client_cert_source=client_cert_source_callback)
+        with mock.patch.object(transport_class, '__init__') as patched:
+            patched.return_value = None
+            client = client_class(client_options=options, transport=transport_name)
+
+            if use_client_cert_env == "false":
+                expected_client_cert_source = None
+                expected_host = client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE)
+            else:
+                expected_client_cert_source = client_cert_source_callback
+                expected_host = client.DEFAULT_MTLS_ENDPOINT
+
+            patched.assert_called_once_with(
+                credentials=None,
+                credentials_file=None,
+                host=expected_host,
+                scopes=None,
+                client_cert_source_for_mtls=expected_client_cert_source,
+                quota_project_id=None,
+                client_info=transports.base.DEFAULT_CLIENT_INFO,
+                always_use_jwt_access=True,
+                api_audience=None,
+            )
+
+    # Check the case ADC client cert is provided. Whether client cert is used depends on
+    # GOOGLE_API_USE_CLIENT_CERTIFICATE value.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}):
+        with mock.patch.object(transport_class, '__init__') as patched:
+            with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True):
+                with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=client_cert_source_callback):
+                    if use_client_cert_env == "false":
+                        expected_host = client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE)
+                        expected_client_cert_source = None
+                    else:
+                        expected_host = client.DEFAULT_MTLS_ENDPOINT
+                        expected_client_cert_source = client_cert_source_callback
+
+                    patched.return_value = None
+                    client = client_class(transport=transport_name)
+                    patched.assert_called_once_with(
+                        credentials=None,
+                        credentials_file=None,
+                        host=expected_host,
+                        scopes=None,
+                        client_cert_source_for_mtls=expected_client_cert_source,
+                        quota_project_id=None,
+                        client_info=transports.base.DEFAULT_CLIENT_INFO,
+                        always_use_jwt_access=True,
+                        api_audience=None,
+                    )
+
+    # Check the case client_cert_source and ADC client cert are not provided.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}):
+        with mock.patch.object(transport_class, '__init__') as patched:
+            with mock.patch("google.auth.transport.mtls.has_default_client_cert_source", return_value=False):
+                patched.return_value = None
+                client = client_class(transport=transport_name)
+                patched.assert_called_once_with(
+                    credentials=None,
+                    credentials_file=None,
+                    host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
+                    scopes=None,
+                    client_cert_source_for_mtls=None,
+                    quota_project_id=None,
+                    client_info=transports.base.DEFAULT_CLIENT_INFO,
+                    always_use_jwt_access=True,
+                    api_audience=None,
+                )
+
+
+@pytest.mark.parametrize("client_class", [
+    DataplexServiceClient, DataplexServiceAsyncClient
+])
+@mock.patch.object(DataplexServiceClient, "DEFAULT_ENDPOINT", modify_default_endpoint(DataplexServiceClient))
+@mock.patch.object(DataplexServiceAsyncClient, "DEFAULT_ENDPOINT", modify_default_endpoint(DataplexServiceAsyncClient))
+def test_dataplex_service_client_get_mtls_endpoint_and_cert_source(client_class):
+    mock_client_cert_source = mock.Mock()
+
+    # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "true".
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
+        mock_api_endpoint = "foo"
+        options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint)
+        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(options)
+        assert api_endpoint == mock_api_endpoint
+        assert cert_source == mock_client_cert_source
+
+    # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "false".
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "false"}):
+        mock_client_cert_source = mock.Mock()
+        mock_api_endpoint = "foo"
+        options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint)
+        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(options)
+        assert api_endpoint == mock_api_endpoint
+        assert cert_source is None
+
+    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "never".
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
+        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
+        assert api_endpoint == client_class.DEFAULT_ENDPOINT
+        assert cert_source is None
+
+    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "always".
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
+        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
+        assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT
+        assert cert_source is None
+
+    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert doesn't exist.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
+        with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=False):
+            api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
+            assert api_endpoint == client_class.DEFAULT_ENDPOINT
+            assert cert_source is None
+
+    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert exists.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
+        with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True):
+            with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=mock_client_cert_source):
+                api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
+                assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT
+                assert cert_source == mock_client_cert_source
+
+    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT has
+    # unsupported value.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}):
+        with pytest.raises(MutualTLSChannelError) as excinfo:
+            client_class.get_mtls_endpoint_and_cert_source()
+
+        assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`"
+
+    # Check the case GOOGLE_API_USE_CLIENT_CERTIFICATE has unsupported value.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}):
+        with pytest.raises(ValueError) as excinfo:
+            client_class.get_mtls_endpoint_and_cert_source()
+
+        assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`"
+
+@pytest.mark.parametrize("client_class", [
+    DataplexServiceClient, DataplexServiceAsyncClient
+])
+@mock.patch.object(DataplexServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DataplexServiceClient))
+@mock.patch.object(DataplexServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DataplexServiceAsyncClient))
+def test_dataplex_service_client_client_api_endpoint(client_class):
+    mock_client_cert_source = client_cert_source_callback
+    api_override = "foo.com"
+    default_universe = DataplexServiceClient._DEFAULT_UNIVERSE
+    default_endpoint = DataplexServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=default_universe)
+    mock_universe = "bar.com"
+    mock_endpoint = DataplexServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=mock_universe)
+
+    # If ClientOptions.api_endpoint is set and GOOGLE_API_USE_CLIENT_CERTIFICATE="true",
+    # use ClientOptions.api_endpoint as the api endpoint regardless.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
+        with mock.patch("google.auth.transport.requests.AuthorizedSession.configure_mtls_channel"):
+            options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=api_override)
+            client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials())
+            assert client.api_endpoint == api_override
+
+    # If ClientOptions.api_endpoint is not set and GOOGLE_API_USE_MTLS_ENDPOINT="never",
+    # use the _DEFAULT_ENDPOINT_TEMPLATE populated with GDU as the api endpoint.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
+        client = client_class(credentials=ga_credentials.AnonymousCredentials())
+        assert client.api_endpoint == default_endpoint
+
+    # If ClientOptions.api_endpoint is not set and GOOGLE_API_USE_MTLS_ENDPOINT="always",
+    # use the DEFAULT_MTLS_ENDPOINT as the api endpoint.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
+        client = client_class(credentials=ga_credentials.AnonymousCredentials())
+        assert client.api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT
+
+    # If ClientOptions.api_endpoint is not set, GOOGLE_API_USE_MTLS_ENDPOINT="auto" (default),
+    # GOOGLE_API_USE_CLIENT_CERTIFICATE="false" (default), default cert source doesn't exist,
+    # and ClientOptions.universe_domain="bar.com",
+    # use the _DEFAULT_ENDPOINT_TEMPLATE populated with universe domain as the api endpoint.
+    options = client_options.ClientOptions()
+    universe_exists = hasattr(options, "universe_domain")
+    if universe_exists:
+        options = client_options.ClientOptions(universe_domain=mock_universe)
+        client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials())
+    else:
+        client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials())
+    assert client.api_endpoint == (mock_endpoint if universe_exists else default_endpoint)
+    assert client.universe_domain == (mock_universe if universe_exists else default_universe)
+
+    # If ClientOptions does not have a universe domain attribute and GOOGLE_API_USE_MTLS_ENDPOINT="never",
+    # use the _DEFAULT_ENDPOINT_TEMPLATE populated with GDU as the api endpoint.
+    options = client_options.ClientOptions()
+    if hasattr(options, "universe_domain"):
+        delattr(options, "universe_domain")
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
+        client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials())
+        assert client.api_endpoint == default_endpoint
+
+
+@pytest.mark.parametrize("client_class,transport_class,transport_name", [
+    (DataplexServiceClient, transports.DataplexServiceGrpcTransport, "grpc"),
+    (DataplexServiceAsyncClient, transports.DataplexServiceGrpcAsyncIOTransport, "grpc_asyncio"),
+])
+def test_dataplex_service_client_client_options_scopes(client_class, transport_class, transport_name):
+    # Check the case scopes are provided.
+    options = client_options.ClientOptions(
+        scopes=["1", "2"],
+    )
+    with mock.patch.object(transport_class, '__init__') as patched:
+        patched.return_value = None
+        client = client_class(client_options=options, transport=transport_name)
+        patched.assert_called_once_with(
+            credentials=None,
+            credentials_file=None,
+            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
+            scopes=["1", "2"],
+            client_cert_source_for_mtls=None,
+            quota_project_id=None,
+            client_info=transports.base.DEFAULT_CLIENT_INFO,
+            always_use_jwt_access=True,
+            api_audience=None,
+        )
+
+@pytest.mark.parametrize("client_class,transport_class,transport_name,grpc_helpers", [
+    (DataplexServiceClient, transports.DataplexServiceGrpcTransport, "grpc", grpc_helpers),
+    (DataplexServiceAsyncClient, transports.DataplexServiceGrpcAsyncIOTransport, "grpc_asyncio", grpc_helpers_async),
+])
+def test_dataplex_service_client_client_options_credentials_file(client_class, transport_class, transport_name, grpc_helpers):
+    # Check the case credentials file is provided.
+    options = client_options.ClientOptions(
+        credentials_file="credentials.json"
+    )
+
+    with mock.patch.object(transport_class, '__init__') as patched:
+        patched.return_value = None
+        client = client_class(client_options=options, transport=transport_name)
+        patched.assert_called_once_with(
+            credentials=None,
+            credentials_file="credentials.json",
+            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
+            scopes=None,
+            client_cert_source_for_mtls=None,
+            quota_project_id=None,
+            client_info=transports.base.DEFAULT_CLIENT_INFO,
+            always_use_jwt_access=True,
+            api_audience=None,
+        )
+
+def test_dataplex_service_client_client_options_from_dict():
+    with mock.patch('google.cloud.dataplex_v1.services.dataplex_service.transports.DataplexServiceGrpcTransport.__init__') as grpc_transport:
+        grpc_transport.return_value = None
+        client = DataplexServiceClient(
+            client_options={'api_endpoint': 'squid.clam.whelk'}
+        )
+        grpc_transport.assert_called_once_with(
+            credentials=None,
+            credentials_file=None,
+            host="squid.clam.whelk",
+            scopes=None,
+            client_cert_source_for_mtls=None,
+            quota_project_id=None,
+            client_info=transports.base.DEFAULT_CLIENT_INFO,
+            always_use_jwt_access=True,
+            api_audience=None,
+        )
+
+
+@pytest.mark.parametrize("client_class,transport_class,transport_name,grpc_helpers", [
+    (DataplexServiceClient, transports.DataplexServiceGrpcTransport, "grpc", grpc_helpers),
+    (DataplexServiceAsyncClient, transports.DataplexServiceGrpcAsyncIOTransport, "grpc_asyncio", grpc_helpers_async),
+])
+def test_dataplex_service_client_create_channel_credentials_file(client_class, transport_class, transport_name, grpc_helpers):
+    # Check the case credentials file is provided.
+    options = client_options.ClientOptions(
+        credentials_file="credentials.json"
+    )
+
+    with mock.patch.object(transport_class, '__init__') as patched:
+        patched.return_value = None
+        client = client_class(client_options=options, transport=transport_name)
+        patched.assert_called_once_with(
+            credentials=None,
+            credentials_file="credentials.json",
+            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
+            scopes=None,
+            client_cert_source_for_mtls=None,
+            quota_project_id=None,
+            client_info=transports.base.DEFAULT_CLIENT_INFO,
+            always_use_jwt_access=True,
+            api_audience=None,
+        )
+
+    # test that the credentials from file are saved and used as the credentials.
+    with mock.patch.object(
+        google.auth, "load_credentials_from_file", autospec=True
+    ) as load_creds, mock.patch.object(
+        google.auth, "default", autospec=True
+    ) as adc, mock.patch.object(
+        grpc_helpers, "create_channel"
+    ) as create_channel:
+        creds = ga_credentials.AnonymousCredentials()
+        file_creds = ga_credentials.AnonymousCredentials()
+        load_creds.return_value = (file_creds, None)
+        adc.return_value = (creds, None)
+        client = client_class(client_options=options, transport=transport_name)
+        create_channel.assert_called_with(
+            "dataplex.googleapis.com:443",
+            credentials=file_creds,
+            credentials_file=None,
+            quota_project_id=None,
+            default_scopes=(
+                'https://www.googleapis.com/auth/cloud-platform',
+),
+            scopes=None,
+            default_host="dataplex.googleapis.com",
+            ssl_credentials=None,
+            options=[
+                ("grpc.max_send_message_length", -1),
+                ("grpc.max_receive_message_length", -1),
+            ],
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  service.CreateLakeRequest,
+  dict,
+])
+def test_create_lake(request_type, transport: str = 'grpc'):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_lake),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/spam')
+        response = client.create_lake(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = service.CreateLakeRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+def test_create_lake_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = service.CreateLakeRequest(
+        parent='parent_value',
+        lake_id='lake_id_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_lake),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.create_lake(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == service.CreateLakeRequest(
+            parent='parent_value',
+            lake_id='lake_id_value',
+        )
+
+def test_create_lake_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = DataplexServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.create_lake in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.create_lake] = mock_rpc
+        request = {}
+        client.create_lake(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        client.create_lake(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_create_lake_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = DataplexServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.create_lake in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.create_lake] = mock_rpc
+
+        request = {}
+        await client.create_lake(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        await client.create_lake(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_create_lake_async(transport: str = 'grpc_asyncio', request_type=service.CreateLakeRequest):
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_lake),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        response = await client.create_lake(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = service.CreateLakeRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+@pytest.mark.asyncio
+async def test_create_lake_async_from_dict():
+    await test_create_lake_async(request_type=dict)
+
+def test_create_lake_field_headers():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.CreateLakeRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_lake),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.create_lake(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_create_lake_field_headers_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.CreateLakeRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_lake),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
+        await client.create_lake(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+def test_create_lake_flattened():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_lake),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.create_lake(
+            parent='parent_value',
+            lake=resources.Lake(name='name_value'),
+            lake_id='lake_id_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+        arg = args[0].lake
+        mock_val = resources.Lake(name='name_value')
+        assert arg == mock_val
+        arg = args[0].lake_id
+        mock_val = 'lake_id_value'
+        assert arg == mock_val
+
+
+def test_create_lake_flattened_error():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.create_lake(
+            service.CreateLakeRequest(),
+            parent='parent_value',
+            lake=resources.Lake(name='name_value'),
+            lake_id='lake_id_value',
+        )
+
+@pytest.mark.asyncio
+async def test_create_lake_flattened_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_lake),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.create_lake(
+            parent='parent_value',
+            lake=resources.Lake(name='name_value'),
+            lake_id='lake_id_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+        arg = args[0].lake
+        mock_val = resources.Lake(name='name_value')
+        assert arg == mock_val
+        arg = args[0].lake_id
+        mock_val = 'lake_id_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_create_lake_flattened_error_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.create_lake(
+            service.CreateLakeRequest(),
+            parent='parent_value',
+            lake=resources.Lake(name='name_value'),
+            lake_id='lake_id_value',
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  service.UpdateLakeRequest,
+  dict,
+])
+def test_update_lake(request_type, transport: str = 'grpc'):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_lake),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/spam')
+        response = client.update_lake(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = service.UpdateLakeRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+def test_update_lake_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = service.UpdateLakeRequest(
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_lake),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.update_lake(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == service.UpdateLakeRequest(
+        )
+
+def test_update_lake_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = DataplexServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.update_lake in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.update_lake] = mock_rpc
+        request = {}
+        client.update_lake(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        client.update_lake(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_update_lake_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = DataplexServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.update_lake in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.update_lake] = mock_rpc
+
+        request = {}
+        await client.update_lake(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        await client.update_lake(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_update_lake_async(transport: str = 'grpc_asyncio', request_type=service.UpdateLakeRequest):
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_lake),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        response = await client.update_lake(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = service.UpdateLakeRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+@pytest.mark.asyncio
+async def test_update_lake_async_from_dict():
+    await test_update_lake_async(request_type=dict)
+
+def test_update_lake_field_headers():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.UpdateLakeRequest()
+
+    request.lake.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_lake),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.update_lake(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'lake.name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_update_lake_field_headers_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.UpdateLakeRequest()
+
+    request.lake.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_lake),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
+        await client.update_lake(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'lake.name=name_value',
+    ) in kw['metadata']
+
+
+def test_update_lake_flattened():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_lake),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.update_lake(
+            lake=resources.Lake(name='name_value'),
+            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].lake
+        mock_val = resources.Lake(name='name_value')
+        assert arg == mock_val
+        arg = args[0].update_mask
+        mock_val = field_mask_pb2.FieldMask(paths=['paths_value'])
+        assert arg == mock_val
+
+
+def test_update_lake_flattened_error():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.update_lake(
+            service.UpdateLakeRequest(),
+            lake=resources.Lake(name='name_value'),
+            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
+        )
+
+@pytest.mark.asyncio
+async def test_update_lake_flattened_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_lake),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.update_lake(
+            lake=resources.Lake(name='name_value'),
+            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].lake
+        mock_val = resources.Lake(name='name_value')
+        assert arg == mock_val
+        arg = args[0].update_mask
+        mock_val = field_mask_pb2.FieldMask(paths=['paths_value'])
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_update_lake_flattened_error_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.update_lake(
+            service.UpdateLakeRequest(),
+            lake=resources.Lake(name='name_value'),
+            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  service.DeleteLakeRequest,
+  dict,
+])
+def test_delete_lake(request_type, transport: str = 'grpc'):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_lake),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/spam')
+        response = client.delete_lake(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = service.DeleteLakeRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+def test_delete_lake_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = service.DeleteLakeRequest(
+        name='name_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_lake),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.delete_lake(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == service.DeleteLakeRequest(
+            name='name_value',
+        )
+
+def test_delete_lake_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = DataplexServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.delete_lake in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.delete_lake] = mock_rpc
+        request = {}
+        client.delete_lake(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        client.delete_lake(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_delete_lake_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = DataplexServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.delete_lake in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.delete_lake] = mock_rpc
+
+        request = {}
+        await client.delete_lake(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        await client.delete_lake(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_delete_lake_async(transport: str = 'grpc_asyncio', request_type=service.DeleteLakeRequest):
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_lake),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        response = await client.delete_lake(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = service.DeleteLakeRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+@pytest.mark.asyncio
+async def test_delete_lake_async_from_dict():
+    await test_delete_lake_async(request_type=dict)
+
+def test_delete_lake_field_headers():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.DeleteLakeRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_lake),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.delete_lake(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_delete_lake_field_headers_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.DeleteLakeRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_lake),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
+        await client.delete_lake(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+def test_delete_lake_flattened():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_lake),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.delete_lake(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+
+def test_delete_lake_flattened_error():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.delete_lake(
+            service.DeleteLakeRequest(),
+            name='name_value',
+        )
+
+@pytest.mark.asyncio
+async def test_delete_lake_flattened_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_lake),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.delete_lake(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_delete_lake_flattened_error_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.delete_lake(
+            service.DeleteLakeRequest(),
+            name='name_value',
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  service.ListLakesRequest,
+  dict,
+])
+def test_list_lakes(request_type, transport: str = 'grpc'):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_lakes),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = service.ListLakesResponse(
+            next_page_token='next_page_token_value',
+            unreachable_locations=['unreachable_locations_value'],
+        )
+        response = client.list_lakes(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = service.ListLakesRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, pagers.ListLakesPager)
+    assert response.next_page_token == 'next_page_token_value'
+    assert response.unreachable_locations == ['unreachable_locations_value']
+
+
+def test_list_lakes_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = service.ListLakesRequest(
+        parent='parent_value',
+        page_token='page_token_value',
+        filter='filter_value',
+        order_by='order_by_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_lakes),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.list_lakes(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == service.ListLakesRequest(
+            parent='parent_value',
+            page_token='page_token_value',
+            filter='filter_value',
+            order_by='order_by_value',
+        )
+
+def test_list_lakes_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = DataplexServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.list_lakes in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.list_lakes] = mock_rpc
+        request = {}
+        client.list_lakes(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.list_lakes(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_list_lakes_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = DataplexServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.list_lakes in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.list_lakes] = mock_rpc
+
+        request = {}
+        await client.list_lakes(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.list_lakes(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_list_lakes_async(transport: str = 'grpc_asyncio', request_type=service.ListLakesRequest):
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_lakes),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(service.ListLakesResponse(
+            next_page_token='next_page_token_value',
+            unreachable_locations=['unreachable_locations_value'],
+        ))
+        response = await client.list_lakes(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = service.ListLakesRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, pagers.ListLakesAsyncPager)
+    assert response.next_page_token == 'next_page_token_value'
+    assert response.unreachable_locations == ['unreachable_locations_value']
+
+
+@pytest.mark.asyncio
+async def test_list_lakes_async_from_dict():
+    await test_list_lakes_async(request_type=dict)
+
+def test_list_lakes_field_headers():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.ListLakesRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_lakes),
+            '__call__') as call:
+        call.return_value = service.ListLakesResponse()
+        client.list_lakes(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_list_lakes_field_headers_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.ListLakesRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_lakes),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListLakesResponse())
+        await client.list_lakes(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+def test_list_lakes_flattened():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_lakes),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = service.ListLakesResponse()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.list_lakes(
+            parent='parent_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+
+
+def test_list_lakes_flattened_error():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.list_lakes(
+            service.ListLakesRequest(),
+            parent='parent_value',
+        )
+
+@pytest.mark.asyncio
+async def test_list_lakes_flattened_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_lakes),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = service.ListLakesResponse()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListLakesResponse())
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.list_lakes(
+            parent='parent_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_list_lakes_flattened_error_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.list_lakes(
+            service.ListLakesRequest(),
+            parent='parent_value',
+        )
+
+
+def test_list_lakes_pager(transport_name: str = "grpc"):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport_name,
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_lakes),
+            '__call__') as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            service.ListLakesResponse(
+                lakes=[
+                    resources.Lake(),
+                    resources.Lake(),
+                    resources.Lake(),
+                ],
+                next_page_token='abc',
+            ),
+            service.ListLakesResponse(
+                lakes=[],
+                next_page_token='def',
+            ),
+            service.ListLakesResponse(
+                lakes=[
+                    resources.Lake(),
+                ],
+                next_page_token='ghi',
+            ),
+            service.ListLakesResponse(
+                lakes=[
+                    resources.Lake(),
+                    resources.Lake(),
+                ],
+            ),
+            RuntimeError,
+        )
+
+        expected_metadata = ()
+        retry = retries.Retry()
+        timeout = 5
+        expected_metadata = tuple(expected_metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ('parent', ''),
+            )),
+        )
+        pager = client.list_lakes(request={}, retry=retry, timeout=timeout)
+
+        assert pager._metadata == expected_metadata
+        assert pager._retry == retry
+        assert pager._timeout == timeout
+
+        results = list(pager)
+        assert len(results) == 6
+        assert all(isinstance(i, resources.Lake)
+                   for i in results)
+def test_list_lakes_pages(transport_name: str = "grpc"):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport_name,
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_lakes),
+            '__call__') as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            service.ListLakesResponse(
+                lakes=[
+                    resources.Lake(),
+                    resources.Lake(),
+                    resources.Lake(),
+                ],
+                next_page_token='abc',
+            ),
+            service.ListLakesResponse(
+                lakes=[],
+                next_page_token='def',
+            ),
+            service.ListLakesResponse(
+                lakes=[
+                    resources.Lake(),
+                ],
+                next_page_token='ghi',
+            ),
+            service.ListLakesResponse(
+                lakes=[
+                    resources.Lake(),
+                    resources.Lake(),
+                ],
+            ),
+            RuntimeError,
+        )
+        pages = list(client.list_lakes(request={}).pages)
+        for page_, token in zip(pages, ['abc','def','ghi', '']):
+            assert page_.raw_page.next_page_token == token
+
+@pytest.mark.asyncio
+async def test_list_lakes_async_pager():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_lakes),
+            '__call__', new_callable=mock.AsyncMock) as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            service.ListLakesResponse(
+                lakes=[
+                    resources.Lake(),
+                    resources.Lake(),
+                    resources.Lake(),
+                ],
+                next_page_token='abc',
+            ),
+            service.ListLakesResponse(
+                lakes=[],
+                next_page_token='def',
+            ),
+            service.ListLakesResponse(
+                lakes=[
+                    resources.Lake(),
+                ],
+                next_page_token='ghi',
+            ),
+            service.ListLakesResponse(
+                lakes=[
+                    resources.Lake(),
+                    resources.Lake(),
+                ],
+            ),
+            RuntimeError,
+        )
+        async_pager = await client.list_lakes(request={},)
+        assert async_pager.next_page_token == 'abc'
+        responses = []
+        async for response in async_pager: # pragma: no branch
+            responses.append(response)
+
+        assert len(responses) == 6
+        assert all(isinstance(i, resources.Lake)
+                for i in responses)
+
+
+@pytest.mark.asyncio
+async def test_list_lakes_async_pages():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_lakes),
+            '__call__', new_callable=mock.AsyncMock) as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            service.ListLakesResponse(
+                lakes=[
+                    resources.Lake(),
+                    resources.Lake(),
+                    resources.Lake(),
+                ],
+                next_page_token='abc',
+            ),
+            service.ListLakesResponse(
+                lakes=[],
+                next_page_token='def',
+            ),
+            service.ListLakesResponse(
+                lakes=[
+                    resources.Lake(),
+                ],
+                next_page_token='ghi',
+            ),
+            service.ListLakesResponse(
+                lakes=[
+                    resources.Lake(),
+                    resources.Lake(),
+                ],
+            ),
+            RuntimeError,
+        )
+        pages = []
+        # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch`
+        # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372
+        async for page_ in ( # pragma: no branch
+            await client.list_lakes(request={})
+        ).pages:
+            pages.append(page_)
+        for page_, token in zip(pages, ['abc','def','ghi', '']):
+            assert page_.raw_page.next_page_token == token
+
+@pytest.mark.parametrize("request_type", [
+  service.GetLakeRequest,
+  dict,
+])
+def test_get_lake(request_type, transport: str = 'grpc'):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_lake),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = resources.Lake(
+            name='name_value',
+            display_name='display_name_value',
+            uid='uid_value',
+            description='description_value',
+            state=resources.State.ACTIVE,
+            service_account='service_account_value',
+        )
+        response = client.get_lake(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = service.GetLakeRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, resources.Lake)
+    assert response.name == 'name_value'
+    assert response.display_name == 'display_name_value'
+    assert response.uid == 'uid_value'
+    assert response.description == 'description_value'
+    assert response.state == resources.State.ACTIVE
+    assert response.service_account == 'service_account_value'
+
+
+def test_get_lake_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = service.GetLakeRequest(
+        name='name_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_lake),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.get_lake(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == service.GetLakeRequest(
+            name='name_value',
+        )
+
+def test_get_lake_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = DataplexServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.get_lake in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.get_lake] = mock_rpc
+        request = {}
+        client.get_lake(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.get_lake(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_get_lake_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = DataplexServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.get_lake in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.get_lake] = mock_rpc
+
+        request = {}
+        await client.get_lake(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.get_lake(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_get_lake_async(transport: str = 'grpc_asyncio', request_type=service.GetLakeRequest):
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_lake),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(resources.Lake(
+            name='name_value',
+            display_name='display_name_value',
+            uid='uid_value',
+            description='description_value',
+            state=resources.State.ACTIVE,
+            service_account='service_account_value',
+        ))
+        response = await client.get_lake(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = service.GetLakeRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, resources.Lake)
+    assert response.name == 'name_value'
+    assert response.display_name == 'display_name_value'
+    assert response.uid == 'uid_value'
+    assert response.description == 'description_value'
+    assert response.state == resources.State.ACTIVE
+    assert response.service_account == 'service_account_value'
+
+
+@pytest.mark.asyncio
+async def test_get_lake_async_from_dict():
+    await test_get_lake_async(request_type=dict)
+
+def test_get_lake_field_headers():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.GetLakeRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_lake),
+            '__call__') as call:
+        call.return_value = resources.Lake()
+        client.get_lake(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_get_lake_field_headers_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.GetLakeRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_lake),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(resources.Lake())
+        await client.get_lake(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+def test_get_lake_flattened():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_lake),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = resources.Lake()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.get_lake(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+
+def test_get_lake_flattened_error():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.get_lake(
+            service.GetLakeRequest(),
+            name='name_value',
+        )
+
+@pytest.mark.asyncio
+async def test_get_lake_flattened_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_lake),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = resources.Lake()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(resources.Lake())
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.get_lake(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_get_lake_flattened_error_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.get_lake(
+            service.GetLakeRequest(),
+            name='name_value',
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  service.ListLakeActionsRequest,
+  dict,
+])
+def test_list_lake_actions(request_type, transport: str = 'grpc'):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_lake_actions),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = service.ListActionsResponse(
+            next_page_token='next_page_token_value',
+        )
+        response = client.list_lake_actions(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = service.ListLakeActionsRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, pagers.ListLakeActionsPager)
+    assert response.next_page_token == 'next_page_token_value'
+
+
+def test_list_lake_actions_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = service.ListLakeActionsRequest(
+        parent='parent_value',
+        page_token='page_token_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_lake_actions),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.list_lake_actions(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == service.ListLakeActionsRequest(
+            parent='parent_value',
+            page_token='page_token_value',
+        )
+
+def test_list_lake_actions_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = DataplexServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.list_lake_actions in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.list_lake_actions] = mock_rpc
+        request = {}
+        client.list_lake_actions(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.list_lake_actions(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_list_lake_actions_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = DataplexServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.list_lake_actions in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.list_lake_actions] = mock_rpc
+
+        request = {}
+        await client.list_lake_actions(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.list_lake_actions(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_list_lake_actions_async(transport: str = 'grpc_asyncio', request_type=service.ListLakeActionsRequest):
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_lake_actions),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(service.ListActionsResponse(
+            next_page_token='next_page_token_value',
+        ))
+        response = await client.list_lake_actions(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = service.ListLakeActionsRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, pagers.ListLakeActionsAsyncPager)
+    assert response.next_page_token == 'next_page_token_value'
+
+
+@pytest.mark.asyncio
+async def test_list_lake_actions_async_from_dict():
+    await test_list_lake_actions_async(request_type=dict)
+
+def test_list_lake_actions_field_headers():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.ListLakeActionsRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_lake_actions),
+            '__call__') as call:
+        call.return_value = service.ListActionsResponse()
+        client.list_lake_actions(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_list_lake_actions_field_headers_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.ListLakeActionsRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_lake_actions),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListActionsResponse())
+        await client.list_lake_actions(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+def test_list_lake_actions_flattened():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_lake_actions),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = service.ListActionsResponse()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.list_lake_actions(
+            parent='parent_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+
+
+def test_list_lake_actions_flattened_error():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.list_lake_actions(
+            service.ListLakeActionsRequest(),
+            parent='parent_value',
+        )
+
+@pytest.mark.asyncio
+async def test_list_lake_actions_flattened_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_lake_actions),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = service.ListActionsResponse()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListActionsResponse())
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.list_lake_actions(
+            parent='parent_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_list_lake_actions_flattened_error_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.list_lake_actions(
+            service.ListLakeActionsRequest(),
+            parent='parent_value',
+        )
+
+
+def test_list_lake_actions_pager(transport_name: str = "grpc"):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport_name,
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_lake_actions),
+            '__call__') as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            service.ListActionsResponse(
+                actions=[
+                    resources.Action(),
+                    resources.Action(),
+                    resources.Action(),
+                ],
+                next_page_token='abc',
+            ),
+            service.ListActionsResponse(
+                actions=[],
+                next_page_token='def',
+            ),
+            service.ListActionsResponse(
+                actions=[
+                    resources.Action(),
+                ],
+                next_page_token='ghi',
+            ),
+            service.ListActionsResponse(
+                actions=[
+                    resources.Action(),
+                    resources.Action(),
+                ],
+            ),
+            RuntimeError,
+        )
+
+        expected_metadata = ()
+        retry = retries.Retry()
+        timeout = 5
+        expected_metadata = tuple(expected_metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ('parent', ''),
+            )),
+        )
+        pager = client.list_lake_actions(request={}, retry=retry, timeout=timeout)
+
+        assert pager._metadata == expected_metadata
+        assert pager._retry == retry
+        assert pager._timeout == timeout
+
+        results = list(pager)
+        assert len(results) == 6
+        assert all(isinstance(i, resources.Action)
+                   for i in results)
+def test_list_lake_actions_pages(transport_name: str = "grpc"):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport_name,
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_lake_actions),
+            '__call__') as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            service.ListActionsResponse(
+                actions=[
+                    resources.Action(),
+                    resources.Action(),
+                    resources.Action(),
+                ],
+                next_page_token='abc',
+            ),
+            service.ListActionsResponse(
+                actions=[],
+                next_page_token='def',
+            ),
+            service.ListActionsResponse(
+                actions=[
+                    resources.Action(),
+                ],
+                next_page_token='ghi',
+            ),
+            service.ListActionsResponse(
+                actions=[
+                    resources.Action(),
+                    resources.Action(),
+                ],
+            ),
+            RuntimeError,
+        )
+        pages = list(client.list_lake_actions(request={}).pages)
+        for page_, token in zip(pages, ['abc','def','ghi', '']):
+            assert page_.raw_page.next_page_token == token
+
+@pytest.mark.asyncio
+async def test_list_lake_actions_async_pager():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_lake_actions),
+            '__call__', new_callable=mock.AsyncMock) as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            service.ListActionsResponse(
+                actions=[
+                    resources.Action(),
+                    resources.Action(),
+                    resources.Action(),
+                ],
+                next_page_token='abc',
+            ),
+            service.ListActionsResponse(
+                actions=[],
+                next_page_token='def',
+            ),
+            service.ListActionsResponse(
+                actions=[
+                    resources.Action(),
+                ],
+                next_page_token='ghi',
+            ),
+            service.ListActionsResponse(
+                actions=[
+                    resources.Action(),
+                    resources.Action(),
+                ],
+            ),
+            RuntimeError,
+        )
+        async_pager = await client.list_lake_actions(request={},)
+        assert async_pager.next_page_token == 'abc'
+        responses = []
+        async for response in async_pager: # pragma: no branch
+            responses.append(response)
+
+        assert len(responses) == 6
+        assert all(isinstance(i, resources.Action)
+                for i in responses)
+
+
+@pytest.mark.asyncio
+async def test_list_lake_actions_async_pages():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_lake_actions),
+            '__call__', new_callable=mock.AsyncMock) as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            service.ListActionsResponse(
+                actions=[
+                    resources.Action(),
+                    resources.Action(),
+                    resources.Action(),
+                ],
+                next_page_token='abc',
+            ),
+            service.ListActionsResponse(
+                actions=[],
+                next_page_token='def',
+            ),
+            service.ListActionsResponse(
+                actions=[
+                    resources.Action(),
+                ],
+                next_page_token='ghi',
+            ),
+            service.ListActionsResponse(
+                actions=[
+                    resources.Action(),
+                    resources.Action(),
+                ],
+            ),
+            RuntimeError,
+        )
+        pages = []
+        # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch`
+        # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372
+        async for page_ in ( # pragma: no branch
+            await client.list_lake_actions(request={})
+        ).pages:
+            pages.append(page_)
+        for page_, token in zip(pages, ['abc','def','ghi', '']):
+            assert page_.raw_page.next_page_token == token
+
+@pytest.mark.parametrize("request_type", [
+  service.CreateZoneRequest,
+  dict,
+])
+def test_create_zone(request_type, transport: str = 'grpc'):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_zone),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/spam')
+        response = client.create_zone(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = service.CreateZoneRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+def test_create_zone_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = service.CreateZoneRequest(
+        parent='parent_value',
+        zone_id='zone_id_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_zone),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.create_zone(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == service.CreateZoneRequest(
+            parent='parent_value',
+            zone_id='zone_id_value',
+        )
+
+def test_create_zone_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = DataplexServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.create_zone in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.create_zone] = mock_rpc
+        request = {}
+        client.create_zone(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        client.create_zone(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_create_zone_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = DataplexServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.create_zone in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.create_zone] = mock_rpc
+
+        request = {}
+        await client.create_zone(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        await client.create_zone(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_create_zone_async(transport: str = 'grpc_asyncio', request_type=service.CreateZoneRequest):
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_zone),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        response = await client.create_zone(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = service.CreateZoneRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+@pytest.mark.asyncio
+async def test_create_zone_async_from_dict():
+    await test_create_zone_async(request_type=dict)
+
+def test_create_zone_field_headers():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.CreateZoneRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_zone),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.create_zone(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_create_zone_field_headers_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.CreateZoneRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_zone),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
+        await client.create_zone(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+def test_create_zone_flattened():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_zone),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.create_zone(
+            parent='parent_value',
+            zone=resources.Zone(name='name_value'),
+            zone_id='zone_id_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+        arg = args[0].zone
+        mock_val = resources.Zone(name='name_value')
+        assert arg == mock_val
+        arg = args[0].zone_id
+        mock_val = 'zone_id_value'
+        assert arg == mock_val
+
+
+def test_create_zone_flattened_error():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.create_zone(
+            service.CreateZoneRequest(),
+            parent='parent_value',
+            zone=resources.Zone(name='name_value'),
+            zone_id='zone_id_value',
+        )
+
+@pytest.mark.asyncio
+async def test_create_zone_flattened_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_zone),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.create_zone(
+            parent='parent_value',
+            zone=resources.Zone(name='name_value'),
+            zone_id='zone_id_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+        arg = args[0].zone
+        mock_val = resources.Zone(name='name_value')
+        assert arg == mock_val
+        arg = args[0].zone_id
+        mock_val = 'zone_id_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_create_zone_flattened_error_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.create_zone(
+            service.CreateZoneRequest(),
+            parent='parent_value',
+            zone=resources.Zone(name='name_value'),
+            zone_id='zone_id_value',
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  service.UpdateZoneRequest,
+  dict,
+])
+def test_update_zone(request_type, transport: str = 'grpc'):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_zone),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/spam')
+        response = client.update_zone(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = service.UpdateZoneRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+def test_update_zone_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = service.UpdateZoneRequest(
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_zone),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.update_zone(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == service.UpdateZoneRequest(
+        )
+
+def test_update_zone_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = DataplexServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.update_zone in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.update_zone] = mock_rpc
+        request = {}
+        client.update_zone(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        client.update_zone(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_update_zone_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = DataplexServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.update_zone in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.update_zone] = mock_rpc
+
+        request = {}
+        await client.update_zone(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        await client.update_zone(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_update_zone_async(transport: str = 'grpc_asyncio', request_type=service.UpdateZoneRequest):
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_zone),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        response = await client.update_zone(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = service.UpdateZoneRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+@pytest.mark.asyncio
+async def test_update_zone_async_from_dict():
+    await test_update_zone_async(request_type=dict)
+
+def test_update_zone_field_headers():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.UpdateZoneRequest()
+
+    request.zone.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_zone),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.update_zone(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'zone.name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_update_zone_field_headers_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.UpdateZoneRequest()
+
+    request.zone.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_zone),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
+        await client.update_zone(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'zone.name=name_value',
+    ) in kw['metadata']
+
+
+def test_update_zone_flattened():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_zone),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.update_zone(
+            zone=resources.Zone(name='name_value'),
+            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].zone
+        mock_val = resources.Zone(name='name_value')
+        assert arg == mock_val
+        arg = args[0].update_mask
+        mock_val = field_mask_pb2.FieldMask(paths=['paths_value'])
+        assert arg == mock_val
+
+
+def test_update_zone_flattened_error():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.update_zone(
+            service.UpdateZoneRequest(),
+            zone=resources.Zone(name='name_value'),
+            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
+        )
+
+@pytest.mark.asyncio
+async def test_update_zone_flattened_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_zone),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.update_zone(
+            zone=resources.Zone(name='name_value'),
+            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].zone
+        mock_val = resources.Zone(name='name_value')
+        assert arg == mock_val
+        arg = args[0].update_mask
+        mock_val = field_mask_pb2.FieldMask(paths=['paths_value'])
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_update_zone_flattened_error_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.update_zone(
+            service.UpdateZoneRequest(),
+            zone=resources.Zone(name='name_value'),
+            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  service.DeleteZoneRequest,
+  dict,
+])
+def test_delete_zone(request_type, transport: str = 'grpc'):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_zone),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/spam')
+        response = client.delete_zone(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = service.DeleteZoneRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+def test_delete_zone_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = service.DeleteZoneRequest(
+        name='name_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_zone),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.delete_zone(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == service.DeleteZoneRequest(
+            name='name_value',
+        )
+
+def test_delete_zone_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = DataplexServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.delete_zone in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.delete_zone] = mock_rpc
+        request = {}
+        client.delete_zone(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        client.delete_zone(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_delete_zone_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = DataplexServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.delete_zone in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.delete_zone] = mock_rpc
+
+        request = {}
+        await client.delete_zone(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        await client.delete_zone(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_delete_zone_async(transport: str = 'grpc_asyncio', request_type=service.DeleteZoneRequest):
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_zone),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        response = await client.delete_zone(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = service.DeleteZoneRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+@pytest.mark.asyncio
+async def test_delete_zone_async_from_dict():
+    await test_delete_zone_async(request_type=dict)
+
+def test_delete_zone_field_headers():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.DeleteZoneRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_zone),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.delete_zone(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_delete_zone_field_headers_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.DeleteZoneRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_zone),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
+        await client.delete_zone(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+def test_delete_zone_flattened():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_zone),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.delete_zone(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+
+def test_delete_zone_flattened_error():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.delete_zone(
+            service.DeleteZoneRequest(),
+            name='name_value',
+        )
+
+@pytest.mark.asyncio
+async def test_delete_zone_flattened_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_zone),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.delete_zone(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_delete_zone_flattened_error_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.delete_zone(
+            service.DeleteZoneRequest(),
+            name='name_value',
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  service.ListZonesRequest,
+  dict,
+])
+def test_list_zones(request_type, transport: str = 'grpc'):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_zones),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = service.ListZonesResponse(
+            next_page_token='next_page_token_value',
+        )
+        response = client.list_zones(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = service.ListZonesRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, pagers.ListZonesPager)
+    assert response.next_page_token == 'next_page_token_value'
+
+
+def test_list_zones_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = service.ListZonesRequest(
+        parent='parent_value',
+        page_token='page_token_value',
+        filter='filter_value',
+        order_by='order_by_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_zones),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.list_zones(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == service.ListZonesRequest(
+            parent='parent_value',
+            page_token='page_token_value',
+            filter='filter_value',
+            order_by='order_by_value',
+        )
+
+def test_list_zones_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = DataplexServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.list_zones in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.list_zones] = mock_rpc
+        request = {}
+        client.list_zones(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.list_zones(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_list_zones_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = DataplexServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.list_zones in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.list_zones] = mock_rpc
+
+        request = {}
+        await client.list_zones(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.list_zones(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_list_zones_async(transport: str = 'grpc_asyncio', request_type=service.ListZonesRequest):
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_zones),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(service.ListZonesResponse(
+            next_page_token='next_page_token_value',
+        ))
+        response = await client.list_zones(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = service.ListZonesRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, pagers.ListZonesAsyncPager)
+    assert response.next_page_token == 'next_page_token_value'
+
+
+@pytest.mark.asyncio
+async def test_list_zones_async_from_dict():
+    await test_list_zones_async(request_type=dict)
+
+def test_list_zones_field_headers():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.ListZonesRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_zones),
+            '__call__') as call:
+        call.return_value = service.ListZonesResponse()
+        client.list_zones(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_list_zones_field_headers_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.ListZonesRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_zones),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListZonesResponse())
+        await client.list_zones(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+def test_list_zones_flattened():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_zones),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = service.ListZonesResponse()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.list_zones(
+            parent='parent_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+
+
+def test_list_zones_flattened_error():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.list_zones(
+            service.ListZonesRequest(),
+            parent='parent_value',
+        )
+
+@pytest.mark.asyncio
+async def test_list_zones_flattened_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_zones),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = service.ListZonesResponse()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListZonesResponse())
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.list_zones(
+            parent='parent_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_list_zones_flattened_error_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.list_zones(
+            service.ListZonesRequest(),
+            parent='parent_value',
+        )
+
+
+def test_list_zones_pager(transport_name: str = "grpc"):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport_name,
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_zones),
+            '__call__') as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            service.ListZonesResponse(
+                zones=[
+                    resources.Zone(),
+                    resources.Zone(),
+                    resources.Zone(),
+                ],
+                next_page_token='abc',
+            ),
+            service.ListZonesResponse(
+                zones=[],
+                next_page_token='def',
+            ),
+            service.ListZonesResponse(
+                zones=[
+                    resources.Zone(),
+                ],
+                next_page_token='ghi',
+            ),
+            service.ListZonesResponse(
+                zones=[
+                    resources.Zone(),
+                    resources.Zone(),
+                ],
+            ),
+            RuntimeError,
+        )
+
+        expected_metadata = ()
+        retry = retries.Retry()
+        timeout = 5
+        expected_metadata = tuple(expected_metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ('parent', ''),
+            )),
+        )
+        pager = client.list_zones(request={}, retry=retry, timeout=timeout)
+
+        assert pager._metadata == expected_metadata
+        assert pager._retry == retry
+        assert pager._timeout == timeout
+
+        results = list(pager)
+        assert len(results) == 6
+        assert all(isinstance(i, resources.Zone)
+                   for i in results)
+def test_list_zones_pages(transport_name: str = "grpc"):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport_name,
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_zones),
+            '__call__') as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            service.ListZonesResponse(
+                zones=[
+                    resources.Zone(),
+                    resources.Zone(),
+                    resources.Zone(),
+                ],
+                next_page_token='abc',
+            ),
+            service.ListZonesResponse(
+                zones=[],
+                next_page_token='def',
+            ),
+            service.ListZonesResponse(
+                zones=[
+                    resources.Zone(),
+                ],
+                next_page_token='ghi',
+            ),
+            service.ListZonesResponse(
+                zones=[
+                    resources.Zone(),
+                    resources.Zone(),
+                ],
+            ),
+            RuntimeError,
+        )
+        pages = list(client.list_zones(request={}).pages)
+        for page_, token in zip(pages, ['abc','def','ghi', '']):
+            assert page_.raw_page.next_page_token == token
+
+@pytest.mark.asyncio
+async def test_list_zones_async_pager():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_zones),
+            '__call__', new_callable=mock.AsyncMock) as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            service.ListZonesResponse(
+                zones=[
+                    resources.Zone(),
+                    resources.Zone(),
+                    resources.Zone(),
+                ],
+                next_page_token='abc',
+            ),
+            service.ListZonesResponse(
+                zones=[],
+                next_page_token='def',
+            ),
+            service.ListZonesResponse(
+                zones=[
+                    resources.Zone(),
+                ],
+                next_page_token='ghi',
+            ),
+            service.ListZonesResponse(
+                zones=[
+                    resources.Zone(),
+                    resources.Zone(),
+                ],
+            ),
+            RuntimeError,
+        )
+        async_pager = await client.list_zones(request={},)
+        assert async_pager.next_page_token == 'abc'
+        responses = []
+        async for response in async_pager: # pragma: no branch
+            responses.append(response)
+
+        assert len(responses) == 6
+        assert all(isinstance(i, resources.Zone)
+                for i in responses)
+
+
+@pytest.mark.asyncio
+async def test_list_zones_async_pages():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_zones),
+            '__call__', new_callable=mock.AsyncMock) as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            service.ListZonesResponse(
+                zones=[
+                    resources.Zone(),
+                    resources.Zone(),
+                    resources.Zone(),
+                ],
+                next_page_token='abc',
+            ),
+            service.ListZonesResponse(
+                zones=[],
+                next_page_token='def',
+            ),
+            service.ListZonesResponse(
+                zones=[
+                    resources.Zone(),
+                ],
+                next_page_token='ghi',
+            ),
+            service.ListZonesResponse(
+                zones=[
+                    resources.Zone(),
+                    resources.Zone(),
+                ],
+            ),
+            RuntimeError,
+        )
+        pages = []
+        # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch`
+        # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372
+        async for page_ in ( # pragma: no branch
+            await client.list_zones(request={})
+        ).pages:
+            pages.append(page_)
+        for page_, token in zip(pages, ['abc','def','ghi', '']):
+            assert page_.raw_page.next_page_token == token
+
+@pytest.mark.parametrize("request_type", [
+  service.GetZoneRequest,
+  dict,
+])
+def test_get_zone(request_type, transport: str = 'grpc'):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_zone),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = resources.Zone(
+            name='name_value',
+            display_name='display_name_value',
+            uid='uid_value',
+            description='description_value',
+            state=resources.State.ACTIVE,
+            type_=resources.Zone.Type.RAW,
+        )
+        response = client.get_zone(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = service.GetZoneRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, resources.Zone)
+    assert response.name == 'name_value'
+    assert response.display_name == 'display_name_value'
+    assert response.uid == 'uid_value'
+    assert response.description == 'description_value'
+    assert response.state == resources.State.ACTIVE
+    assert response.type_ == resources.Zone.Type.RAW
+
+
+def test_get_zone_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = service.GetZoneRequest(
+        name='name_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_zone),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.get_zone(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == service.GetZoneRequest(
+            name='name_value',
+        )
+
+def test_get_zone_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = DataplexServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.get_zone in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.get_zone] = mock_rpc
+        request = {}
+        client.get_zone(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.get_zone(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_get_zone_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = DataplexServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.get_zone in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.get_zone] = mock_rpc
+
+        request = {}
+        await client.get_zone(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.get_zone(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_get_zone_async(transport: str = 'grpc_asyncio', request_type=service.GetZoneRequest):
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_zone),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(resources.Zone(
+            name='name_value',
+            display_name='display_name_value',
+            uid='uid_value',
+            description='description_value',
+            state=resources.State.ACTIVE,
+            type_=resources.Zone.Type.RAW,
+        ))
+        response = await client.get_zone(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = service.GetZoneRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, resources.Zone)
+    assert response.name == 'name_value'
+    assert response.display_name == 'display_name_value'
+    assert response.uid == 'uid_value'
+    assert response.description == 'description_value'
+    assert response.state == resources.State.ACTIVE
+    assert response.type_ == resources.Zone.Type.RAW
+
+
+@pytest.mark.asyncio
+async def test_get_zone_async_from_dict():
+    await test_get_zone_async(request_type=dict)
+
+def test_get_zone_field_headers():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.GetZoneRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_zone),
+            '__call__') as call:
+        call.return_value = resources.Zone()
+        client.get_zone(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_get_zone_field_headers_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.GetZoneRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_zone),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(resources.Zone())
+        await client.get_zone(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+def test_get_zone_flattened():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_zone),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = resources.Zone()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.get_zone(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+
+def test_get_zone_flattened_error():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.get_zone(
+            service.GetZoneRequest(),
+            name='name_value',
+        )
+
+@pytest.mark.asyncio
+async def test_get_zone_flattened_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_zone),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = resources.Zone()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(resources.Zone())
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.get_zone(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_get_zone_flattened_error_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.get_zone(
+            service.GetZoneRequest(),
+            name='name_value',
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  service.ListZoneActionsRequest,
+  dict,
+])
+def test_list_zone_actions(request_type, transport: str = 'grpc'):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_zone_actions),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = service.ListActionsResponse(
+            next_page_token='next_page_token_value',
+        )
+        response = client.list_zone_actions(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = service.ListZoneActionsRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, pagers.ListZoneActionsPager)
+    assert response.next_page_token == 'next_page_token_value'
+
+
+def test_list_zone_actions_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = service.ListZoneActionsRequest(
+        parent='parent_value',
+        page_token='page_token_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_zone_actions),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.list_zone_actions(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == service.ListZoneActionsRequest(
+            parent='parent_value',
+            page_token='page_token_value',
+        )
+
+def test_list_zone_actions_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = DataplexServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.list_zone_actions in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.list_zone_actions] = mock_rpc
+        request = {}
+        client.list_zone_actions(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.list_zone_actions(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_list_zone_actions_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = DataplexServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.list_zone_actions in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.list_zone_actions] = mock_rpc
+
+        request = {}
+        await client.list_zone_actions(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.list_zone_actions(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_list_zone_actions_async(transport: str = 'grpc_asyncio', request_type=service.ListZoneActionsRequest):
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_zone_actions),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(service.ListActionsResponse(
+            next_page_token='next_page_token_value',
+        ))
+        response = await client.list_zone_actions(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = service.ListZoneActionsRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, pagers.ListZoneActionsAsyncPager)
+    assert response.next_page_token == 'next_page_token_value'
+
+
+@pytest.mark.asyncio
+async def test_list_zone_actions_async_from_dict():
+    await test_list_zone_actions_async(request_type=dict)
+
+def test_list_zone_actions_field_headers():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.ListZoneActionsRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_zone_actions),
+            '__call__') as call:
+        call.return_value = service.ListActionsResponse()
+        client.list_zone_actions(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_list_zone_actions_field_headers_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.ListZoneActionsRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_zone_actions),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListActionsResponse())
+        await client.list_zone_actions(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+def test_list_zone_actions_flattened():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_zone_actions),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = service.ListActionsResponse()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.list_zone_actions(
+            parent='parent_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+
+
+def test_list_zone_actions_flattened_error():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.list_zone_actions(
+            service.ListZoneActionsRequest(),
+            parent='parent_value',
+        )
+
+@pytest.mark.asyncio
+async def test_list_zone_actions_flattened_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_zone_actions),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = service.ListActionsResponse()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListActionsResponse())
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.list_zone_actions(
+            parent='parent_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_list_zone_actions_flattened_error_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.list_zone_actions(
+            service.ListZoneActionsRequest(),
+            parent='parent_value',
+        )
+
+
+def test_list_zone_actions_pager(transport_name: str = "grpc"):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport_name,
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_zone_actions),
+            '__call__') as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            service.ListActionsResponse(
+                actions=[
+                    resources.Action(),
+                    resources.Action(),
+                    resources.Action(),
+                ],
+                next_page_token='abc',
+            ),
+            service.ListActionsResponse(
+                actions=[],
+                next_page_token='def',
+            ),
+            service.ListActionsResponse(
+                actions=[
+                    resources.Action(),
+                ],
+                next_page_token='ghi',
+            ),
+            service.ListActionsResponse(
+                actions=[
+                    resources.Action(),
+                    resources.Action(),
+                ],
+            ),
+            RuntimeError,
+        )
+
+        expected_metadata = ()
+        retry = retries.Retry()
+        timeout = 5
+        expected_metadata = tuple(expected_metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ('parent', ''),
+            )),
+        )
+        pager = client.list_zone_actions(request={}, retry=retry, timeout=timeout)
+
+        assert pager._metadata == expected_metadata
+        assert pager._retry == retry
+        assert pager._timeout == timeout
+
+        results = list(pager)
+        assert len(results) == 6
+        assert all(isinstance(i, resources.Action)
+                   for i in results)
+def test_list_zone_actions_pages(transport_name: str = "grpc"):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport_name,
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_zone_actions),
+            '__call__') as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            service.ListActionsResponse(
+                actions=[
+                    resources.Action(),
+                    resources.Action(),
+                    resources.Action(),
+                ],
+                next_page_token='abc',
+            ),
+            service.ListActionsResponse(
+                actions=[],
+                next_page_token='def',
+            ),
+            service.ListActionsResponse(
+                actions=[
+                    resources.Action(),
+                ],
+                next_page_token='ghi',
+            ),
+            service.ListActionsResponse(
+                actions=[
+                    resources.Action(),
+                    resources.Action(),
+                ],
+            ),
+            RuntimeError,
+        )
+        pages = list(client.list_zone_actions(request={}).pages)
+        for page_, token in zip(pages, ['abc','def','ghi', '']):
+            assert page_.raw_page.next_page_token == token
+
+@pytest.mark.asyncio
+async def test_list_zone_actions_async_pager():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_zone_actions),
+            '__call__', new_callable=mock.AsyncMock) as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            service.ListActionsResponse(
+                actions=[
+                    resources.Action(),
+                    resources.Action(),
+                    resources.Action(),
+                ],
+                next_page_token='abc',
+            ),
+            service.ListActionsResponse(
+                actions=[],
+                next_page_token='def',
+            ),
+            service.ListActionsResponse(
+                actions=[
+                    resources.Action(),
+                ],
+                next_page_token='ghi',
+            ),
+            service.ListActionsResponse(
+                actions=[
+                    resources.Action(),
+                    resources.Action(),
+                ],
+            ),
+            RuntimeError,
+        )
+        async_pager = await client.list_zone_actions(request={},)
+        assert async_pager.next_page_token == 'abc'
+        responses = []
+        async for response in async_pager: # pragma: no branch
+            responses.append(response)
+
+        assert len(responses) == 6
+        assert all(isinstance(i, resources.Action)
+                for i in responses)
+
+
+@pytest.mark.asyncio
+async def test_list_zone_actions_async_pages():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_zone_actions),
+            '__call__', new_callable=mock.AsyncMock) as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            service.ListActionsResponse(
+                actions=[
+                    resources.Action(),
+                    resources.Action(),
+                    resources.Action(),
+                ],
+                next_page_token='abc',
+            ),
+            service.ListActionsResponse(
+                actions=[],
+                next_page_token='def',
+            ),
+            service.ListActionsResponse(
+                actions=[
+                    resources.Action(),
+                ],
+                next_page_token='ghi',
+            ),
+            service.ListActionsResponse(
+                actions=[
+                    resources.Action(),
+                    resources.Action(),
+                ],
+            ),
+            RuntimeError,
+        )
+        pages = []
+        # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch`
+        # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372
+        async for page_ in ( # pragma: no branch
+            await client.list_zone_actions(request={})
+        ).pages:
+            pages.append(page_)
+        for page_, token in zip(pages, ['abc','def','ghi', '']):
+            assert page_.raw_page.next_page_token == token
+
+@pytest.mark.parametrize("request_type", [
+  service.CreateAssetRequest,
+  dict,
+])
+def test_create_asset(request_type, transport: str = 'grpc'):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_asset),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/spam')
+        response = client.create_asset(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = service.CreateAssetRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+def test_create_asset_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = service.CreateAssetRequest(
+        parent='parent_value',
+        asset_id='asset_id_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_asset),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.create_asset(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == service.CreateAssetRequest(
+            parent='parent_value',
+            asset_id='asset_id_value',
+        )
+
+def test_create_asset_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = DataplexServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.create_asset in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.create_asset] = mock_rpc
+        request = {}
+        client.create_asset(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        client.create_asset(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_create_asset_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = DataplexServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.create_asset in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.create_asset] = mock_rpc
+
+        request = {}
+        await client.create_asset(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        await client.create_asset(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_create_asset_async(transport: str = 'grpc_asyncio', request_type=service.CreateAssetRequest):
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_asset),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        response = await client.create_asset(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = service.CreateAssetRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+@pytest.mark.asyncio
+async def test_create_asset_async_from_dict():
+    await test_create_asset_async(request_type=dict)
+
+def test_create_asset_field_headers():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.CreateAssetRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_asset),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.create_asset(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_create_asset_field_headers_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.CreateAssetRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_asset),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
+        await client.create_asset(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+def test_create_asset_flattened():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_asset),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.create_asset(
+            parent='parent_value',
+            asset=resources.Asset(name='name_value'),
+            asset_id='asset_id_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+        arg = args[0].asset
+        mock_val = resources.Asset(name='name_value')
+        assert arg == mock_val
+        arg = args[0].asset_id
+        mock_val = 'asset_id_value'
+        assert arg == mock_val
+
+
+def test_create_asset_flattened_error():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.create_asset(
+            service.CreateAssetRequest(),
+            parent='parent_value',
+            asset=resources.Asset(name='name_value'),
+            asset_id='asset_id_value',
+        )
+
+@pytest.mark.asyncio
+async def test_create_asset_flattened_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_asset),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.create_asset(
+            parent='parent_value',
+            asset=resources.Asset(name='name_value'),
+            asset_id='asset_id_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+        arg = args[0].asset
+        mock_val = resources.Asset(name='name_value')
+        assert arg == mock_val
+        arg = args[0].asset_id
+        mock_val = 'asset_id_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_create_asset_flattened_error_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.create_asset(
+            service.CreateAssetRequest(),
+            parent='parent_value',
+            asset=resources.Asset(name='name_value'),
+            asset_id='asset_id_value',
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  service.UpdateAssetRequest,
+  dict,
+])
+def test_update_asset(request_type, transport: str = 'grpc'):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_asset),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/spam')
+        response = client.update_asset(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = service.UpdateAssetRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+def test_update_asset_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = service.UpdateAssetRequest(
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_asset),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.update_asset(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == service.UpdateAssetRequest(
+        )
+
+def test_update_asset_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = DataplexServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.update_asset in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.update_asset] = mock_rpc
+        request = {}
+        client.update_asset(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        client.update_asset(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_update_asset_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = DataplexServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.update_asset in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.update_asset] = mock_rpc
+
+        request = {}
+        await client.update_asset(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        await client.update_asset(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_update_asset_async(transport: str = 'grpc_asyncio', request_type=service.UpdateAssetRequest):
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_asset),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        response = await client.update_asset(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = service.UpdateAssetRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+@pytest.mark.asyncio
+async def test_update_asset_async_from_dict():
+    await test_update_asset_async(request_type=dict)
+
+def test_update_asset_field_headers():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.UpdateAssetRequest()
+
+    request.asset.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_asset),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.update_asset(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'asset.name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_update_asset_field_headers_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.UpdateAssetRequest()
+
+    request.asset.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_asset),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
+        await client.update_asset(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'asset.name=name_value',
+    ) in kw['metadata']
+
+
+def test_update_asset_flattened():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_asset),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.update_asset(
+            asset=resources.Asset(name='name_value'),
+            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].asset
+        mock_val = resources.Asset(name='name_value')
+        assert arg == mock_val
+        arg = args[0].update_mask
+        mock_val = field_mask_pb2.FieldMask(paths=['paths_value'])
+        assert arg == mock_val
+
+
+def test_update_asset_flattened_error():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.update_asset(
+            service.UpdateAssetRequest(),
+            asset=resources.Asset(name='name_value'),
+            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
+        )
+
+@pytest.mark.asyncio
+async def test_update_asset_flattened_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_asset),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.update_asset(
+            asset=resources.Asset(name='name_value'),
+            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].asset
+        mock_val = resources.Asset(name='name_value')
+        assert arg == mock_val
+        arg = args[0].update_mask
+        mock_val = field_mask_pb2.FieldMask(paths=['paths_value'])
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_update_asset_flattened_error_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.update_asset(
+            service.UpdateAssetRequest(),
+            asset=resources.Asset(name='name_value'),
+            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  service.DeleteAssetRequest,
+  dict,
+])
+def test_delete_asset(request_type, transport: str = 'grpc'):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_asset),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/spam')
+        response = client.delete_asset(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = service.DeleteAssetRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+def test_delete_asset_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = service.DeleteAssetRequest(
+        name='name_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_asset),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.delete_asset(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == service.DeleteAssetRequest(
+            name='name_value',
+        )
+
+def test_delete_asset_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = DataplexServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.delete_asset in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.delete_asset] = mock_rpc
+        request = {}
+        client.delete_asset(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        client.delete_asset(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_delete_asset_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = DataplexServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.delete_asset in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.delete_asset] = mock_rpc
+
+        request = {}
+        await client.delete_asset(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        await client.delete_asset(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_delete_asset_async(transport: str = 'grpc_asyncio', request_type=service.DeleteAssetRequest):
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_asset),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        response = await client.delete_asset(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = service.DeleteAssetRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+@pytest.mark.asyncio
+async def test_delete_asset_async_from_dict():
+    await test_delete_asset_async(request_type=dict)
+
+def test_delete_asset_field_headers():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.DeleteAssetRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_asset),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.delete_asset(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_delete_asset_field_headers_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.DeleteAssetRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_asset),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
+        await client.delete_asset(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+def test_delete_asset_flattened():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_asset),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.delete_asset(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+
+def test_delete_asset_flattened_error():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.delete_asset(
+            service.DeleteAssetRequest(),
+            name='name_value',
+        )
+
+@pytest.mark.asyncio
+async def test_delete_asset_flattened_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_asset),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.delete_asset(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_delete_asset_flattened_error_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.delete_asset(
+            service.DeleteAssetRequest(),
+            name='name_value',
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  service.ListAssetsRequest,
+  dict,
+])
+def test_list_assets(request_type, transport: str = 'grpc'):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_assets),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = service.ListAssetsResponse(
+            next_page_token='next_page_token_value',
+        )
+        response = client.list_assets(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = service.ListAssetsRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, pagers.ListAssetsPager)
+    assert response.next_page_token == 'next_page_token_value'
+
+
+def test_list_assets_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = service.ListAssetsRequest(
+        parent='parent_value',
+        page_token='page_token_value',
+        filter='filter_value',
+        order_by='order_by_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_assets),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.list_assets(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == service.ListAssetsRequest(
+            parent='parent_value',
+            page_token='page_token_value',
+            filter='filter_value',
+            order_by='order_by_value',
+        )
+
+def test_list_assets_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = DataplexServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.list_assets in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.list_assets] = mock_rpc
+        request = {}
+        client.list_assets(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.list_assets(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_list_assets_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = DataplexServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.list_assets in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.list_assets] = mock_rpc
+
+        request = {}
+        await client.list_assets(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.list_assets(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_list_assets_async(transport: str = 'grpc_asyncio', request_type=service.ListAssetsRequest):
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_assets),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(service.ListAssetsResponse(
+            next_page_token='next_page_token_value',
+        ))
+        response = await client.list_assets(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = service.ListAssetsRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, pagers.ListAssetsAsyncPager)
+    assert response.next_page_token == 'next_page_token_value'
+
+
+@pytest.mark.asyncio
+async def test_list_assets_async_from_dict():
+    await test_list_assets_async(request_type=dict)
+
+def test_list_assets_field_headers():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.ListAssetsRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_assets),
+            '__call__') as call:
+        call.return_value = service.ListAssetsResponse()
+        client.list_assets(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_list_assets_field_headers_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.ListAssetsRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_assets),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListAssetsResponse())
+        await client.list_assets(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+def test_list_assets_flattened():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_assets),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = service.ListAssetsResponse()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.list_assets(
+            parent='parent_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+
+
+def test_list_assets_flattened_error():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.list_assets(
+            service.ListAssetsRequest(),
+            parent='parent_value',
+        )
+
+@pytest.mark.asyncio
+async def test_list_assets_flattened_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_assets),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = service.ListAssetsResponse()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListAssetsResponse())
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.list_assets(
+            parent='parent_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_list_assets_flattened_error_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.list_assets(
+            service.ListAssetsRequest(),
+            parent='parent_value',
+        )
+
+
+def test_list_assets_pager(transport_name: str = "grpc"):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport_name,
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_assets),
+            '__call__') as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            service.ListAssetsResponse(
+                assets=[
+                    resources.Asset(),
+                    resources.Asset(),
+                    resources.Asset(),
+                ],
+                next_page_token='abc',
+            ),
+            service.ListAssetsResponse(
+                assets=[],
+                next_page_token='def',
+            ),
+            service.ListAssetsResponse(
+                assets=[
+                    resources.Asset(),
+                ],
+                next_page_token='ghi',
+            ),
+            service.ListAssetsResponse(
+                assets=[
+                    resources.Asset(),
+                    resources.Asset(),
+                ],
+            ),
+            RuntimeError,
+        )
+
+        expected_metadata = ()
+        retry = retries.Retry()
+        timeout = 5
+        expected_metadata = tuple(expected_metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ('parent', ''),
+            )),
+        )
+        pager = client.list_assets(request={}, retry=retry, timeout=timeout)
+
+        assert pager._metadata == expected_metadata
+        assert pager._retry == retry
+        assert pager._timeout == timeout
+
+        results = list(pager)
+        assert len(results) == 6
+        assert all(isinstance(i, resources.Asset)
+                   for i in results)
+def test_list_assets_pages(transport_name: str = "grpc"):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport_name,
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_assets),
+            '__call__') as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            service.ListAssetsResponse(
+                assets=[
+                    resources.Asset(),
+                    resources.Asset(),
+                    resources.Asset(),
+                ],
+                next_page_token='abc',
+            ),
+            service.ListAssetsResponse(
+                assets=[],
+                next_page_token='def',
+            ),
+            service.ListAssetsResponse(
+                assets=[
+                    resources.Asset(),
+                ],
+                next_page_token='ghi',
+            ),
+            service.ListAssetsResponse(
+                assets=[
+                    resources.Asset(),
+                    resources.Asset(),
+                ],
+            ),
+            RuntimeError,
+        )
+        pages = list(client.list_assets(request={}).pages)
+        for page_, token in zip(pages, ['abc','def','ghi', '']):
+            assert page_.raw_page.next_page_token == token
+
+@pytest.mark.asyncio
+async def test_list_assets_async_pager():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_assets),
+            '__call__', new_callable=mock.AsyncMock) as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            service.ListAssetsResponse(
+                assets=[
+                    resources.Asset(),
+                    resources.Asset(),
+                    resources.Asset(),
+                ],
+                next_page_token='abc',
+            ),
+            service.ListAssetsResponse(
+                assets=[],
+                next_page_token='def',
+            ),
+            service.ListAssetsResponse(
+                assets=[
+                    resources.Asset(),
+                ],
+                next_page_token='ghi',
+            ),
+            service.ListAssetsResponse(
+                assets=[
+                    resources.Asset(),
+                    resources.Asset(),
+                ],
+            ),
+            RuntimeError,
+        )
+        async_pager = await client.list_assets(request={},)
+        assert async_pager.next_page_token == 'abc'
+        responses = []
+        async for response in async_pager: # pragma: no branch
+            responses.append(response)
+
+        assert len(responses) == 6
+        assert all(isinstance(i, resources.Asset)
+                for i in responses)
+
+
+@pytest.mark.asyncio
+async def test_list_assets_async_pages():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_assets),
+            '__call__', new_callable=mock.AsyncMock) as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            service.ListAssetsResponse(
+                assets=[
+                    resources.Asset(),
+                    resources.Asset(),
+                    resources.Asset(),
+                ],
+                next_page_token='abc',
+            ),
+            service.ListAssetsResponse(
+                assets=[],
+                next_page_token='def',
+            ),
+            service.ListAssetsResponse(
+                assets=[
+                    resources.Asset(),
+                ],
+                next_page_token='ghi',
+            ),
+            service.ListAssetsResponse(
+                assets=[
+                    resources.Asset(),
+                    resources.Asset(),
+                ],
+            ),
+            RuntimeError,
+        )
+        pages = []
+        # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch`
+        # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372
+        async for page_ in ( # pragma: no branch
+            await client.list_assets(request={})
+        ).pages:
+            pages.append(page_)
+        for page_, token in zip(pages, ['abc','def','ghi', '']):
+            assert page_.raw_page.next_page_token == token
+
+@pytest.mark.parametrize("request_type", [
+  service.GetAssetRequest,
+  dict,
+])
+def test_get_asset(request_type, transport: str = 'grpc'):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_asset),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = resources.Asset(
+            name='name_value',
+            display_name='display_name_value',
+            uid='uid_value',
+            description='description_value',
+            state=resources.State.ACTIVE,
+        )
+        response = client.get_asset(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = service.GetAssetRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, resources.Asset)
+    assert response.name == 'name_value'
+    assert response.display_name == 'display_name_value'
+    assert response.uid == 'uid_value'
+    assert response.description == 'description_value'
+    assert response.state == resources.State.ACTIVE
+
+
+def test_get_asset_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = service.GetAssetRequest(
+        name='name_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_asset),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.get_asset(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == service.GetAssetRequest(
+            name='name_value',
+        )
+
+def test_get_asset_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = DataplexServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.get_asset in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.get_asset] = mock_rpc
+        request = {}
+        client.get_asset(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.get_asset(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_get_asset_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = DataplexServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.get_asset in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.get_asset] = mock_rpc
+
+        request = {}
+        await client.get_asset(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.get_asset(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_get_asset_async(transport: str = 'grpc_asyncio', request_type=service.GetAssetRequest):
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_asset),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(resources.Asset(
+            name='name_value',
+            display_name='display_name_value',
+            uid='uid_value',
+            description='description_value',
+            state=resources.State.ACTIVE,
+        ))
+        response = await client.get_asset(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = service.GetAssetRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, resources.Asset)
+    assert response.name == 'name_value'
+    assert response.display_name == 'display_name_value'
+    assert response.uid == 'uid_value'
+    assert response.description == 'description_value'
+    assert response.state == resources.State.ACTIVE
+
+
+@pytest.mark.asyncio
+async def test_get_asset_async_from_dict():
+    await test_get_asset_async(request_type=dict)
+
+def test_get_asset_field_headers():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.GetAssetRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_asset),
+            '__call__') as call:
+        call.return_value = resources.Asset()
+        client.get_asset(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_get_asset_field_headers_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.GetAssetRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_asset),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(resources.Asset())
+        await client.get_asset(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+def test_get_asset_flattened():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_asset),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = resources.Asset()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.get_asset(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+
+def test_get_asset_flattened_error():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.get_asset(
+            service.GetAssetRequest(),
+            name='name_value',
+        )
+
+@pytest.mark.asyncio
+async def test_get_asset_flattened_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_asset),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = resources.Asset()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(resources.Asset())
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.get_asset(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_get_asset_flattened_error_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.get_asset(
+            service.GetAssetRequest(),
+            name='name_value',
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  service.ListAssetActionsRequest,
+  dict,
+])
+def test_list_asset_actions(request_type, transport: str = 'grpc'):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_asset_actions),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = service.ListActionsResponse(
+            next_page_token='next_page_token_value',
+        )
+        response = client.list_asset_actions(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = service.ListAssetActionsRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, pagers.ListAssetActionsPager)
+    assert response.next_page_token == 'next_page_token_value'
+
+
+def test_list_asset_actions_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = service.ListAssetActionsRequest(
+        parent='parent_value',
+        page_token='page_token_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_asset_actions),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.list_asset_actions(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == service.ListAssetActionsRequest(
+            parent='parent_value',
+            page_token='page_token_value',
+        )
+
+def test_list_asset_actions_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = DataplexServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.list_asset_actions in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.list_asset_actions] = mock_rpc
+        request = {}
+        client.list_asset_actions(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.list_asset_actions(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_list_asset_actions_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = DataplexServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.list_asset_actions in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.list_asset_actions] = mock_rpc
+
+        request = {}
+        await client.list_asset_actions(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.list_asset_actions(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_list_asset_actions_async(transport: str = 'grpc_asyncio', request_type=service.ListAssetActionsRequest):
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_asset_actions),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(service.ListActionsResponse(
+            next_page_token='next_page_token_value',
+        ))
+        response = await client.list_asset_actions(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = service.ListAssetActionsRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, pagers.ListAssetActionsAsyncPager)
+    assert response.next_page_token == 'next_page_token_value'
+
+
+@pytest.mark.asyncio
+async def test_list_asset_actions_async_from_dict():
+    await test_list_asset_actions_async(request_type=dict)
+
+def test_list_asset_actions_field_headers():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.ListAssetActionsRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_asset_actions),
+            '__call__') as call:
+        call.return_value = service.ListActionsResponse()
+        client.list_asset_actions(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_list_asset_actions_field_headers_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.ListAssetActionsRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_asset_actions),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListActionsResponse())
+        await client.list_asset_actions(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+def test_list_asset_actions_flattened():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_asset_actions),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = service.ListActionsResponse()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.list_asset_actions(
+            parent='parent_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+
+
+def test_list_asset_actions_flattened_error():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.list_asset_actions(
+            service.ListAssetActionsRequest(),
+            parent='parent_value',
+        )
+
+@pytest.mark.asyncio
+async def test_list_asset_actions_flattened_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_asset_actions),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = service.ListActionsResponse()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListActionsResponse())
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.list_asset_actions(
+            parent='parent_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_list_asset_actions_flattened_error_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.list_asset_actions(
+            service.ListAssetActionsRequest(),
+            parent='parent_value',
+        )
+
+
+def test_list_asset_actions_pager(transport_name: str = "grpc"):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport_name,
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_asset_actions),
+            '__call__') as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            service.ListActionsResponse(
+                actions=[
+                    resources.Action(),
+                    resources.Action(),
+                    resources.Action(),
+                ],
+                next_page_token='abc',
+            ),
+            service.ListActionsResponse(
+                actions=[],
+                next_page_token='def',
+            ),
+            service.ListActionsResponse(
+                actions=[
+                    resources.Action(),
+                ],
+                next_page_token='ghi',
+            ),
+            service.ListActionsResponse(
+                actions=[
+                    resources.Action(),
+                    resources.Action(),
+                ],
+            ),
+            RuntimeError,
+        )
+
+        expected_metadata = ()
+        retry = retries.Retry()
+        timeout = 5
+        expected_metadata = tuple(expected_metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ('parent', ''),
+            )),
+        )
+        pager = client.list_asset_actions(request={}, retry=retry, timeout=timeout)
+
+        assert pager._metadata == expected_metadata
+        assert pager._retry == retry
+        assert pager._timeout == timeout
+
+        results = list(pager)
+        assert len(results) == 6
+        assert all(isinstance(i, resources.Action)
+                   for i in results)
+def test_list_asset_actions_pages(transport_name: str = "grpc"):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport_name,
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_asset_actions),
+            '__call__') as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            service.ListActionsResponse(
+                actions=[
+                    resources.Action(),
+                    resources.Action(),
+                    resources.Action(),
+                ],
+                next_page_token='abc',
+            ),
+            service.ListActionsResponse(
+                actions=[],
+                next_page_token='def',
+            ),
+            service.ListActionsResponse(
+                actions=[
+                    resources.Action(),
+                ],
+                next_page_token='ghi',
+            ),
+            service.ListActionsResponse(
+                actions=[
+                    resources.Action(),
+                    resources.Action(),
+                ],
+            ),
+            RuntimeError,
+        )
+        pages = list(client.list_asset_actions(request={}).pages)
+        for page_, token in zip(pages, ['abc','def','ghi', '']):
+            assert page_.raw_page.next_page_token == token
+
+@pytest.mark.asyncio
+async def test_list_asset_actions_async_pager():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_asset_actions),
+            '__call__', new_callable=mock.AsyncMock) as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            service.ListActionsResponse(
+                actions=[
+                    resources.Action(),
+                    resources.Action(),
+                    resources.Action(),
+                ],
+                next_page_token='abc',
+            ),
+            service.ListActionsResponse(
+                actions=[],
+                next_page_token='def',
+            ),
+            service.ListActionsResponse(
+                actions=[
+                    resources.Action(),
+                ],
+                next_page_token='ghi',
+            ),
+            service.ListActionsResponse(
+                actions=[
+                    resources.Action(),
+                    resources.Action(),
+                ],
+            ),
+            RuntimeError,
+        )
+        async_pager = await client.list_asset_actions(request={},)
+        assert async_pager.next_page_token == 'abc'
+        responses = []
+        async for response in async_pager: # pragma: no branch
+            responses.append(response)
+
+        assert len(responses) == 6
+        assert all(isinstance(i, resources.Action)
+                for i in responses)
+
+
+@pytest.mark.asyncio
+async def test_list_asset_actions_async_pages():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_asset_actions),
+            '__call__', new_callable=mock.AsyncMock) as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            service.ListActionsResponse(
+                actions=[
+                    resources.Action(),
+                    resources.Action(),
+                    resources.Action(),
+                ],
+                next_page_token='abc',
+            ),
+            service.ListActionsResponse(
+                actions=[],
+                next_page_token='def',
+            ),
+            service.ListActionsResponse(
+                actions=[
+                    resources.Action(),
+                ],
+                next_page_token='ghi',
+            ),
+            service.ListActionsResponse(
+                actions=[
+                    resources.Action(),
+                    resources.Action(),
+                ],
+            ),
+            RuntimeError,
+        )
+        pages = []
+        # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch`
+        # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372
+        async for page_ in ( # pragma: no branch
+            await client.list_asset_actions(request={})
+        ).pages:
+            pages.append(page_)
+        for page_, token in zip(pages, ['abc','def','ghi', '']):
+            assert page_.raw_page.next_page_token == token
+
+@pytest.mark.parametrize("request_type", [
+  service.CreateTaskRequest,
+  dict,
+])
+def test_create_task(request_type, transport: str = 'grpc'):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_task),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/spam')
+        response = client.create_task(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = service.CreateTaskRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+def test_create_task_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = service.CreateTaskRequest(
+        parent='parent_value',
+        task_id='task_id_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_task),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.create_task(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == service.CreateTaskRequest(
+            parent='parent_value',
+            task_id='task_id_value',
+        )
+
+def test_create_task_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = DataplexServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.create_task in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.create_task] = mock_rpc
+        request = {}
+        client.create_task(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        client.create_task(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_create_task_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = DataplexServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.create_task in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.create_task] = mock_rpc
+
+        request = {}
+        await client.create_task(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        await client.create_task(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_create_task_async(transport: str = 'grpc_asyncio', request_type=service.CreateTaskRequest):
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_task),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        response = await client.create_task(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = service.CreateTaskRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+@pytest.mark.asyncio
+async def test_create_task_async_from_dict():
+    await test_create_task_async(request_type=dict)
+
+def test_create_task_field_headers():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.CreateTaskRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_task),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.create_task(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_create_task_field_headers_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.CreateTaskRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_task),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
+        await client.create_task(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+def test_create_task_flattened():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_task),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.create_task(
+            parent='parent_value',
+            task=tasks.Task(name='name_value'),
+            task_id='task_id_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+        arg = args[0].task
+        mock_val = tasks.Task(name='name_value')
+        assert arg == mock_val
+        arg = args[0].task_id
+        mock_val = 'task_id_value'
+        assert arg == mock_val
+
+
+def test_create_task_flattened_error():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.create_task(
+            service.CreateTaskRequest(),
+            parent='parent_value',
+            task=tasks.Task(name='name_value'),
+            task_id='task_id_value',
+        )
+
+@pytest.mark.asyncio
+async def test_create_task_flattened_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_task),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.create_task(
+            parent='parent_value',
+            task=tasks.Task(name='name_value'),
+            task_id='task_id_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+        arg = args[0].task
+        mock_val = tasks.Task(name='name_value')
+        assert arg == mock_val
+        arg = args[0].task_id
+        mock_val = 'task_id_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_create_task_flattened_error_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.create_task(
+            service.CreateTaskRequest(),
+            parent='parent_value',
+            task=tasks.Task(name='name_value'),
+            task_id='task_id_value',
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  service.UpdateTaskRequest,
+  dict,
+])
+def test_update_task(request_type, transport: str = 'grpc'):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_task),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/spam')
+        response = client.update_task(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = service.UpdateTaskRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+def test_update_task_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = service.UpdateTaskRequest(
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_task),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.update_task(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == service.UpdateTaskRequest(
+        )
+
+def test_update_task_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = DataplexServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.update_task in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.update_task] = mock_rpc
+        request = {}
+        client.update_task(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        client.update_task(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_update_task_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = DataplexServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.update_task in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.update_task] = mock_rpc
+
+        request = {}
+        await client.update_task(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        await client.update_task(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_update_task_async(transport: str = 'grpc_asyncio', request_type=service.UpdateTaskRequest):
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_task),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        response = await client.update_task(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = service.UpdateTaskRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+@pytest.mark.asyncio
+async def test_update_task_async_from_dict():
+    await test_update_task_async(request_type=dict)
+
+def test_update_task_field_headers():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.UpdateTaskRequest()
+
+    request.task.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_task),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.update_task(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'task.name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_update_task_field_headers_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.UpdateTaskRequest()
+
+    request.task.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_task),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
+        await client.update_task(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'task.name=name_value',
+    ) in kw['metadata']
+
+
+def test_update_task_flattened():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_task),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.update_task(
+            task=tasks.Task(name='name_value'),
+            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].task
+        mock_val = tasks.Task(name='name_value')
+        assert arg == mock_val
+        arg = args[0].update_mask
+        mock_val = field_mask_pb2.FieldMask(paths=['paths_value'])
+        assert arg == mock_val
+
+
+def test_update_task_flattened_error():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.update_task(
+            service.UpdateTaskRequest(),
+            task=tasks.Task(name='name_value'),
+            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
+        )
+
+@pytest.mark.asyncio
+async def test_update_task_flattened_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_task),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.update_task(
+            task=tasks.Task(name='name_value'),
+            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].task
+        mock_val = tasks.Task(name='name_value')
+        assert arg == mock_val
+        arg = args[0].update_mask
+        mock_val = field_mask_pb2.FieldMask(paths=['paths_value'])
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_update_task_flattened_error_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.update_task(
+            service.UpdateTaskRequest(),
+            task=tasks.Task(name='name_value'),
+            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  service.DeleteTaskRequest,
+  dict,
+])
+def test_delete_task(request_type, transport: str = 'grpc'):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_task),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/spam')
+        response = client.delete_task(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = service.DeleteTaskRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+def test_delete_task_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = service.DeleteTaskRequest(
+        name='name_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_task),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.delete_task(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == service.DeleteTaskRequest(
+            name='name_value',
+        )
+
+def test_delete_task_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = DataplexServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.delete_task in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.delete_task] = mock_rpc
+        request = {}
+        client.delete_task(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        client.delete_task(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_delete_task_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = DataplexServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.delete_task in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.delete_task] = mock_rpc
+
+        request = {}
+        await client.delete_task(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        await client.delete_task(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_delete_task_async(transport: str = 'grpc_asyncio', request_type=service.DeleteTaskRequest):
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_task),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        response = await client.delete_task(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = service.DeleteTaskRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+@pytest.mark.asyncio
+async def test_delete_task_async_from_dict():
+    await test_delete_task_async(request_type=dict)
+
+def test_delete_task_field_headers():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.DeleteTaskRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_task),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.delete_task(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_delete_task_field_headers_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.DeleteTaskRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_task),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
+        await client.delete_task(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+def test_delete_task_flattened():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_task),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.delete_task(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+
+def test_delete_task_flattened_error():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.delete_task(
+            service.DeleteTaskRequest(),
+            name='name_value',
+        )
+
+@pytest.mark.asyncio
+async def test_delete_task_flattened_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_task),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.delete_task(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_delete_task_flattened_error_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.delete_task(
+            service.DeleteTaskRequest(),
+            name='name_value',
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  service.ListTasksRequest,
+  dict,
+])
+def test_list_tasks(request_type, transport: str = 'grpc'):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_tasks),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = service.ListTasksResponse(
+            next_page_token='next_page_token_value',
+            unreachable_locations=['unreachable_locations_value'],
+        )
+        response = client.list_tasks(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = service.ListTasksRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, pagers.ListTasksPager)
+    assert response.next_page_token == 'next_page_token_value'
+    assert response.unreachable_locations == ['unreachable_locations_value']
+
+
+def test_list_tasks_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = service.ListTasksRequest(
+        parent='parent_value',
+        page_token='page_token_value',
+        filter='filter_value',
+        order_by='order_by_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_tasks),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.list_tasks(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == service.ListTasksRequest(
+            parent='parent_value',
+            page_token='page_token_value',
+            filter='filter_value',
+            order_by='order_by_value',
+        )
+
+def test_list_tasks_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = DataplexServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.list_tasks in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.list_tasks] = mock_rpc
+        request = {}
+        client.list_tasks(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.list_tasks(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_list_tasks_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = DataplexServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.list_tasks in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.list_tasks] = mock_rpc
+
+        request = {}
+        await client.list_tasks(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.list_tasks(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_list_tasks_async(transport: str = 'grpc_asyncio', request_type=service.ListTasksRequest):
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_tasks),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(service.ListTasksResponse(
+            next_page_token='next_page_token_value',
+            unreachable_locations=['unreachable_locations_value'],
+        ))
+        response = await client.list_tasks(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = service.ListTasksRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, pagers.ListTasksAsyncPager)
+    assert response.next_page_token == 'next_page_token_value'
+    assert response.unreachable_locations == ['unreachable_locations_value']
+
+
+@pytest.mark.asyncio
+async def test_list_tasks_async_from_dict():
+    await test_list_tasks_async(request_type=dict)
+
+def test_list_tasks_field_headers():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.ListTasksRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_tasks),
+            '__call__') as call:
+        call.return_value = service.ListTasksResponse()
+        client.list_tasks(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_list_tasks_field_headers_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.ListTasksRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_tasks),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListTasksResponse())
+        await client.list_tasks(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+def test_list_tasks_flattened():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_tasks),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = service.ListTasksResponse()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.list_tasks(
+            parent='parent_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+
+
+def test_list_tasks_flattened_error():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.list_tasks(
+            service.ListTasksRequest(),
+            parent='parent_value',
+        )
+
+@pytest.mark.asyncio
+async def test_list_tasks_flattened_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_tasks),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = service.ListTasksResponse()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListTasksResponse())
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.list_tasks(
+            parent='parent_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_list_tasks_flattened_error_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.list_tasks(
+            service.ListTasksRequest(),
+            parent='parent_value',
+        )
+
+
+def test_list_tasks_pager(transport_name: str = "grpc"):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport_name,
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_tasks),
+            '__call__') as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            service.ListTasksResponse(
+                tasks=[
+                    tasks.Task(),
+                    tasks.Task(),
+                    tasks.Task(),
+                ],
+                next_page_token='abc',
+            ),
+            service.ListTasksResponse(
+                tasks=[],
+                next_page_token='def',
+            ),
+            service.ListTasksResponse(
+                tasks=[
+                    tasks.Task(),
+                ],
+                next_page_token='ghi',
+            ),
+            service.ListTasksResponse(
+                tasks=[
+                    tasks.Task(),
+                    tasks.Task(),
+                ],
+            ),
+            RuntimeError,
+        )
+
+        expected_metadata = ()
+        retry = retries.Retry()
+        timeout = 5
+        expected_metadata = tuple(expected_metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ('parent', ''),
+            )),
+        )
+        pager = client.list_tasks(request={}, retry=retry, timeout=timeout)
+
+        assert pager._metadata == expected_metadata
+        assert pager._retry == retry
+        assert pager._timeout == timeout
+
+        results = list(pager)
+        assert len(results) == 6
+        assert all(isinstance(i, tasks.Task)
+                   for i in results)
+def test_list_tasks_pages(transport_name: str = "grpc"):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport_name,
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_tasks),
+            '__call__') as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            service.ListTasksResponse(
+                tasks=[
+                    tasks.Task(),
+                    tasks.Task(),
+                    tasks.Task(),
+                ],
+                next_page_token='abc',
+            ),
+            service.ListTasksResponse(
+                tasks=[],
+                next_page_token='def',
+            ),
+            service.ListTasksResponse(
+                tasks=[
+                    tasks.Task(),
+                ],
+                next_page_token='ghi',
+            ),
+            service.ListTasksResponse(
+                tasks=[
+                    tasks.Task(),
+                    tasks.Task(),
+                ],
+            ),
+            RuntimeError,
+        )
+        pages = list(client.list_tasks(request={}).pages)
+        for page_, token in zip(pages, ['abc','def','ghi', '']):
+            assert page_.raw_page.next_page_token == token
+
+@pytest.mark.asyncio
+async def test_list_tasks_async_pager():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_tasks),
+            '__call__', new_callable=mock.AsyncMock) as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            service.ListTasksResponse(
+                tasks=[
+                    tasks.Task(),
+                    tasks.Task(),
+                    tasks.Task(),
+                ],
+                next_page_token='abc',
+            ),
+            service.ListTasksResponse(
+                tasks=[],
+                next_page_token='def',
+            ),
+            service.ListTasksResponse(
+                tasks=[
+                    tasks.Task(),
+                ],
+                next_page_token='ghi',
+            ),
+            service.ListTasksResponse(
+                tasks=[
+                    tasks.Task(),
+                    tasks.Task(),
+                ],
+            ),
+            RuntimeError,
+        )
+        async_pager = await client.list_tasks(request={},)
+        assert async_pager.next_page_token == 'abc'
+        responses = []
+        async for response in async_pager: # pragma: no branch
+            responses.append(response)
+
+        assert len(responses) == 6
+        assert all(isinstance(i, tasks.Task)
+                for i in responses)
+
+
+@pytest.mark.asyncio
+async def test_list_tasks_async_pages():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_tasks),
+            '__call__', new_callable=mock.AsyncMock) as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            service.ListTasksResponse(
+                tasks=[
+                    tasks.Task(),
+                    tasks.Task(),
+                    tasks.Task(),
+                ],
+                next_page_token='abc',
+            ),
+            service.ListTasksResponse(
+                tasks=[],
+                next_page_token='def',
+            ),
+            service.ListTasksResponse(
+                tasks=[
+                    tasks.Task(),
+                ],
+                next_page_token='ghi',
+            ),
+            service.ListTasksResponse(
+                tasks=[
+                    tasks.Task(),
+                    tasks.Task(),
+                ],
+            ),
+            RuntimeError,
+        )
+        pages = []
+        # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch`
+        # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372
+        async for page_ in ( # pragma: no branch
+            await client.list_tasks(request={})
+        ).pages:
+            pages.append(page_)
+        for page_, token in zip(pages, ['abc','def','ghi', '']):
+            assert page_.raw_page.next_page_token == token
+
+@pytest.mark.parametrize("request_type", [
+  service.GetTaskRequest,
+  dict,
+])
+def test_get_task(request_type, transport: str = 'grpc'):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_task),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = tasks.Task(
+            name='name_value',
+            uid='uid_value',
+            description='description_value',
+            display_name='display_name_value',
+            state=resources.State.ACTIVE,
+        )
+        response = client.get_task(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = service.GetTaskRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, tasks.Task)
+    assert response.name == 'name_value'
+    assert response.uid == 'uid_value'
+    assert response.description == 'description_value'
+    assert response.display_name == 'display_name_value'
+    assert response.state == resources.State.ACTIVE
+
+
+def test_get_task_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = service.GetTaskRequest(
+        name='name_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_task),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.get_task(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == service.GetTaskRequest(
+            name='name_value',
+        )
+
+def test_get_task_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = DataplexServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.get_task in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.get_task] = mock_rpc
+        request = {}
+        client.get_task(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.get_task(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_get_task_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = DataplexServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.get_task in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.get_task] = mock_rpc
+
+        request = {}
+        await client.get_task(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.get_task(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_get_task_async(transport: str = 'grpc_asyncio', request_type=service.GetTaskRequest):
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_task),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(tasks.Task(
+            name='name_value',
+            uid='uid_value',
+            description='description_value',
+            display_name='display_name_value',
+            state=resources.State.ACTIVE,
+        ))
+        response = await client.get_task(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = service.GetTaskRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, tasks.Task)
+    assert response.name == 'name_value'
+    assert response.uid == 'uid_value'
+    assert response.description == 'description_value'
+    assert response.display_name == 'display_name_value'
+    assert response.state == resources.State.ACTIVE
+
+
+@pytest.mark.asyncio
+async def test_get_task_async_from_dict():
+    await test_get_task_async(request_type=dict)
+
+def test_get_task_field_headers():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.GetTaskRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_task),
+            '__call__') as call:
+        call.return_value = tasks.Task()
+        client.get_task(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_get_task_field_headers_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.GetTaskRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_task),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(tasks.Task())
+        await client.get_task(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+def test_get_task_flattened():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_task),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = tasks.Task()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.get_task(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+
+def test_get_task_flattened_error():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.get_task(
+            service.GetTaskRequest(),
+            name='name_value',
+        )
+
+@pytest.mark.asyncio
+async def test_get_task_flattened_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_task),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = tasks.Task()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(tasks.Task())
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.get_task(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_get_task_flattened_error_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.get_task(
+            service.GetTaskRequest(),
+            name='name_value',
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  service.ListJobsRequest,
+  dict,
+])
+def test_list_jobs(request_type, transport: str = 'grpc'):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_jobs),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = service.ListJobsResponse(
+            next_page_token='next_page_token_value',
+        )
+        response = client.list_jobs(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = service.ListJobsRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, pagers.ListJobsPager)
+    assert response.next_page_token == 'next_page_token_value'
+
+
+def test_list_jobs_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = service.ListJobsRequest(
+        parent='parent_value',
+        page_token='page_token_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_jobs),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.list_jobs(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == service.ListJobsRequest(
+            parent='parent_value',
+            page_token='page_token_value',
+        )
+
+def test_list_jobs_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = DataplexServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.list_jobs in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.list_jobs] = mock_rpc
+        request = {}
+        client.list_jobs(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.list_jobs(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_list_jobs_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = DataplexServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.list_jobs in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.list_jobs] = mock_rpc
+
+        request = {}
+        await client.list_jobs(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.list_jobs(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_list_jobs_async(transport: str = 'grpc_asyncio', request_type=service.ListJobsRequest):
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_jobs),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(service.ListJobsResponse(
+            next_page_token='next_page_token_value',
+        ))
+        response = await client.list_jobs(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = service.ListJobsRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, pagers.ListJobsAsyncPager)
+    assert response.next_page_token == 'next_page_token_value'
+
+
+@pytest.mark.asyncio
+async def test_list_jobs_async_from_dict():
+    await test_list_jobs_async(request_type=dict)
+
+def test_list_jobs_field_headers():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.ListJobsRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_jobs),
+            '__call__') as call:
+        call.return_value = service.ListJobsResponse()
+        client.list_jobs(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_list_jobs_field_headers_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.ListJobsRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_jobs),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListJobsResponse())
+        await client.list_jobs(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+def test_list_jobs_flattened():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_jobs),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = service.ListJobsResponse()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.list_jobs(
+            parent='parent_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+
+
+def test_list_jobs_flattened_error():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.list_jobs(
+            service.ListJobsRequest(),
+            parent='parent_value',
+        )
+
+@pytest.mark.asyncio
+async def test_list_jobs_flattened_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_jobs),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = service.ListJobsResponse()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListJobsResponse())
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.list_jobs(
+            parent='parent_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_list_jobs_flattened_error_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.list_jobs(
+            service.ListJobsRequest(),
+            parent='parent_value',
+        )
+
+
+def test_list_jobs_pager(transport_name: str = "grpc"):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport_name,
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_jobs),
+            '__call__') as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            service.ListJobsResponse(
+                jobs=[
+                    tasks.Job(),
+                    tasks.Job(),
+                    tasks.Job(),
+                ],
+                next_page_token='abc',
+            ),
+            service.ListJobsResponse(
+                jobs=[],
+                next_page_token='def',
+            ),
+            service.ListJobsResponse(
+                jobs=[
+                    tasks.Job(),
+                ],
+                next_page_token='ghi',
+            ),
+            service.ListJobsResponse(
+                jobs=[
+                    tasks.Job(),
+                    tasks.Job(),
+                ],
+            ),
+            RuntimeError,
+        )
+
+        expected_metadata = ()
+        retry = retries.Retry()
+        timeout = 5
+        expected_metadata = tuple(expected_metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ('parent', ''),
+            )),
+        )
+        pager = client.list_jobs(request={}, retry=retry, timeout=timeout)
+
+        assert pager._metadata == expected_metadata
+        assert pager._retry == retry
+        assert pager._timeout == timeout
+
+        results = list(pager)
+        assert len(results) == 6
+        assert all(isinstance(i, tasks.Job)
+                   for i in results)
+def test_list_jobs_pages(transport_name: str = "grpc"):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport_name,
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_jobs),
+            '__call__') as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            service.ListJobsResponse(
+                jobs=[
+                    tasks.Job(),
+                    tasks.Job(),
+                    tasks.Job(),
+                ],
+                next_page_token='abc',
+            ),
+            service.ListJobsResponse(
+                jobs=[],
+                next_page_token='def',
+            ),
+            service.ListJobsResponse(
+                jobs=[
+                    tasks.Job(),
+                ],
+                next_page_token='ghi',
+            ),
+            service.ListJobsResponse(
+                jobs=[
+                    tasks.Job(),
+                    tasks.Job(),
+                ],
+            ),
+            RuntimeError,
+        )
+        pages = list(client.list_jobs(request={}).pages)
+        for page_, token in zip(pages, ['abc','def','ghi', '']):
+            assert page_.raw_page.next_page_token == token
+
+@pytest.mark.asyncio
+async def test_list_jobs_async_pager():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_jobs),
+            '__call__', new_callable=mock.AsyncMock) as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            service.ListJobsResponse(
+                jobs=[
+                    tasks.Job(),
+                    tasks.Job(),
+                    tasks.Job(),
+                ],
+                next_page_token='abc',
+            ),
+            service.ListJobsResponse(
+                jobs=[],
+                next_page_token='def',
+            ),
+            service.ListJobsResponse(
+                jobs=[
+                    tasks.Job(),
+                ],
+                next_page_token='ghi',
+            ),
+            service.ListJobsResponse(
+                jobs=[
+                    tasks.Job(),
+                    tasks.Job(),
+                ],
+            ),
+            RuntimeError,
+        )
+        async_pager = await client.list_jobs(request={},)
+        assert async_pager.next_page_token == 'abc'
+        responses = []
+        async for response in async_pager: # pragma: no branch
+            responses.append(response)
+
+        assert len(responses) == 6
+        assert all(isinstance(i, tasks.Job)
+                for i in responses)
+
+
+@pytest.mark.asyncio
+async def test_list_jobs_async_pages():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_jobs),
+            '__call__', new_callable=mock.AsyncMock) as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            service.ListJobsResponse(
+                jobs=[
+                    tasks.Job(),
+                    tasks.Job(),
+                    tasks.Job(),
+                ],
+                next_page_token='abc',
+            ),
+            service.ListJobsResponse(
+                jobs=[],
+                next_page_token='def',
+            ),
+            service.ListJobsResponse(
+                jobs=[
+                    tasks.Job(),
+                ],
+                next_page_token='ghi',
+            ),
+            service.ListJobsResponse(
+                jobs=[
+                    tasks.Job(),
+                    tasks.Job(),
+                ],
+            ),
+            RuntimeError,
+        )
+        pages = []
+        # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch`
+        # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372
+        async for page_ in ( # pragma: no branch
+            await client.list_jobs(request={})
+        ).pages:
+            pages.append(page_)
+        for page_, token in zip(pages, ['abc','def','ghi', '']):
+            assert page_.raw_page.next_page_token == token
+
+@pytest.mark.parametrize("request_type", [
+  service.RunTaskRequest,
+  dict,
+])
+def test_run_task(request_type, transport: str = 'grpc'):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.run_task),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = service.RunTaskResponse(
+        )
+        response = client.run_task(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = service.RunTaskRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, service.RunTaskResponse)
+
+
+def test_run_task_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = service.RunTaskRequest(
+        name='name_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.run_task),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.run_task(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == service.RunTaskRequest(
+            name='name_value',
+        )
+
+def test_run_task_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = DataplexServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.run_task in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.run_task] = mock_rpc
+        request = {}
+        client.run_task(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.run_task(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_run_task_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = DataplexServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.run_task in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.run_task] = mock_rpc
+
+        request = {}
+        await client.run_task(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.run_task(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_run_task_async(transport: str = 'grpc_asyncio', request_type=service.RunTaskRequest):
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.run_task),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(service.RunTaskResponse(
+        ))
+        response = await client.run_task(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = service.RunTaskRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, service.RunTaskResponse)
+
+
+@pytest.mark.asyncio
+async def test_run_task_async_from_dict():
+    await test_run_task_async(request_type=dict)
+
+def test_run_task_field_headers():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.RunTaskRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.run_task),
+            '__call__') as call:
+        call.return_value = service.RunTaskResponse()
+        client.run_task(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_run_task_field_headers_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.RunTaskRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.run_task),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.RunTaskResponse())
+        await client.run_task(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+def test_run_task_flattened():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.run_task),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = service.RunTaskResponse()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.run_task(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+
+def test_run_task_flattened_error():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.run_task(
+            service.RunTaskRequest(),
+            name='name_value',
+        )
+
+@pytest.mark.asyncio
+async def test_run_task_flattened_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.run_task),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = service.RunTaskResponse()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.RunTaskResponse())
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.run_task(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_run_task_flattened_error_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.run_task(
+            service.RunTaskRequest(),
+            name='name_value',
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  service.GetJobRequest,
+  dict,
+])
+def test_get_job(request_type, transport: str = 'grpc'):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_job),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = tasks.Job(
+            name='name_value',
+            uid='uid_value',
+            state=tasks.Job.State.RUNNING,
+            retry_count=1214,
+            service=tasks.Job.Service.DATAPROC,
+            service_job='service_job_value',
+            message='message_value',
+            trigger=tasks.Job.Trigger.TASK_CONFIG,
+        )
+        response = client.get_job(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = service.GetJobRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, tasks.Job)
+    assert response.name == 'name_value'
+    assert response.uid == 'uid_value'
+    assert response.state == tasks.Job.State.RUNNING
+    assert response.retry_count == 1214
+    assert response.service == tasks.Job.Service.DATAPROC
+    assert response.service_job == 'service_job_value'
+    assert response.message == 'message_value'
+    assert response.trigger == tasks.Job.Trigger.TASK_CONFIG
+
+
+def test_get_job_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = service.GetJobRequest(
+        name='name_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_job),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.get_job(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == service.GetJobRequest(
+            name='name_value',
+        )
+
+def test_get_job_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = DataplexServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.get_job in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.get_job] = mock_rpc
+        request = {}
+        client.get_job(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.get_job(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_get_job_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = DataplexServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.get_job in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.get_job] = mock_rpc
+
+        request = {}
+        await client.get_job(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.get_job(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_get_job_async(transport: str = 'grpc_asyncio', request_type=service.GetJobRequest):
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_job),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(tasks.Job(
+            name='name_value',
+            uid='uid_value',
+            state=tasks.Job.State.RUNNING,
+            retry_count=1214,
+            service=tasks.Job.Service.DATAPROC,
+            service_job='service_job_value',
+            message='message_value',
+            trigger=tasks.Job.Trigger.TASK_CONFIG,
+        ))
+        response = await client.get_job(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = service.GetJobRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, tasks.Job)
+    assert response.name == 'name_value'
+    assert response.uid == 'uid_value'
+    assert response.state == tasks.Job.State.RUNNING
+    assert response.retry_count == 1214
+    assert response.service == tasks.Job.Service.DATAPROC
+    assert response.service_job == 'service_job_value'
+    assert response.message == 'message_value'
+    assert response.trigger == tasks.Job.Trigger.TASK_CONFIG
+
+
+@pytest.mark.asyncio
+async def test_get_job_async_from_dict():
+    await test_get_job_async(request_type=dict)
+
+def test_get_job_field_headers():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.GetJobRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_job),
+            '__call__') as call:
+        call.return_value = tasks.Job()
+        client.get_job(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_get_job_field_headers_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.GetJobRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_job),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(tasks.Job())
+        await client.get_job(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+def test_get_job_flattened():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_job),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = tasks.Job()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.get_job(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+
+def test_get_job_flattened_error():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.get_job(
+            service.GetJobRequest(),
+            name='name_value',
+        )
+
+@pytest.mark.asyncio
+async def test_get_job_flattened_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_job),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = tasks.Job()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(tasks.Job())
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.get_job(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_get_job_flattened_error_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.get_job(
+            service.GetJobRequest(),
+            name='name_value',
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  service.CancelJobRequest,
+  dict,
+])
+def test_cancel_job(request_type, transport: str = 'grpc'):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.cancel_job),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = None
+        response = client.cancel_job(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = service.CancelJobRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert response is None
+
+
+def test_cancel_job_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = service.CancelJobRequest(
+        name='name_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.cancel_job),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.cancel_job(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == service.CancelJobRequest(
+            name='name_value',
+        )
+
+def test_cancel_job_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = DataplexServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.cancel_job in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.cancel_job] = mock_rpc
+        request = {}
+        client.cancel_job(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.cancel_job(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_cancel_job_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = DataplexServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.cancel_job in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.cancel_job] = mock_rpc
+
+        request = {}
+        await client.cancel_job(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.cancel_job(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_cancel_job_async(transport: str = 'grpc_asyncio', request_type=service.CancelJobRequest):
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.cancel_job),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
+        response = await client.cancel_job(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = service.CancelJobRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert response is None
+
+
+@pytest.mark.asyncio
+async def test_cancel_job_async_from_dict():
+    await test_cancel_job_async(request_type=dict)
+
+def test_cancel_job_field_headers():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.CancelJobRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.cancel_job),
+            '__call__') as call:
+        call.return_value = None
+        client.cancel_job(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_cancel_job_field_headers_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.CancelJobRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.cancel_job),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
+        await client.cancel_job(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+def test_cancel_job_flattened():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.cancel_job),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = None
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.cancel_job(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+
+def test_cancel_job_flattened_error():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.cancel_job(
+            service.CancelJobRequest(),
+            name='name_value',
+        )
+
+@pytest.mark.asyncio
+async def test_cancel_job_flattened_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.cancel_job),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = None
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.cancel_job(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_cancel_job_flattened_error_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.cancel_job(
+            service.CancelJobRequest(),
+            name='name_value',
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  service.CreateEnvironmentRequest,
+  dict,
+])
+def test_create_environment(request_type, transport: str = 'grpc'):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_environment),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/spam')
+        response = client.create_environment(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = service.CreateEnvironmentRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+def test_create_environment_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = service.CreateEnvironmentRequest(
+        parent='parent_value',
+        environment_id='environment_id_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_environment),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.create_environment(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == service.CreateEnvironmentRequest(
+            parent='parent_value',
+            environment_id='environment_id_value',
+        )
+
+def test_create_environment_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = DataplexServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.create_environment in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.create_environment] = mock_rpc
+        request = {}
+        client.create_environment(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        client.create_environment(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_create_environment_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = DataplexServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.create_environment in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.create_environment] = mock_rpc
+
+        request = {}
+        await client.create_environment(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        await client.create_environment(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_create_environment_async(transport: str = 'grpc_asyncio', request_type=service.CreateEnvironmentRequest):
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_environment),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        response = await client.create_environment(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = service.CreateEnvironmentRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+@pytest.mark.asyncio
+async def test_create_environment_async_from_dict():
+    await test_create_environment_async(request_type=dict)
+
+def test_create_environment_field_headers():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.CreateEnvironmentRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_environment),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.create_environment(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_create_environment_field_headers_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.CreateEnvironmentRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_environment),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
+        await client.create_environment(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+def test_create_environment_flattened():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_environment),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.create_environment(
+            parent='parent_value',
+            environment=analyze.Environment(name='name_value'),
+            environment_id='environment_id_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+        arg = args[0].environment
+        mock_val = analyze.Environment(name='name_value')
+        assert arg == mock_val
+        arg = args[0].environment_id
+        mock_val = 'environment_id_value'
+        assert arg == mock_val
+
+
+def test_create_environment_flattened_error():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.create_environment(
+            service.CreateEnvironmentRequest(),
+            parent='parent_value',
+            environment=analyze.Environment(name='name_value'),
+            environment_id='environment_id_value',
+        )
+
+@pytest.mark.asyncio
+async def test_create_environment_flattened_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_environment),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.create_environment(
+            parent='parent_value',
+            environment=analyze.Environment(name='name_value'),
+            environment_id='environment_id_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+        arg = args[0].environment
+        mock_val = analyze.Environment(name='name_value')
+        assert arg == mock_val
+        arg = args[0].environment_id
+        mock_val = 'environment_id_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_create_environment_flattened_error_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.create_environment(
+            service.CreateEnvironmentRequest(),
+            parent='parent_value',
+            environment=analyze.Environment(name='name_value'),
+            environment_id='environment_id_value',
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  service.UpdateEnvironmentRequest,
+  dict,
+])
+def test_update_environment(request_type, transport: str = 'grpc'):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_environment),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/spam')
+        response = client.update_environment(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = service.UpdateEnvironmentRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+def test_update_environment_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = service.UpdateEnvironmentRequest(
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_environment),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.update_environment(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == service.UpdateEnvironmentRequest(
+        )
+
+def test_update_environment_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = DataplexServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.update_environment in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.update_environment] = mock_rpc
+        request = {}
+        client.update_environment(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        client.update_environment(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_update_environment_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = DataplexServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.update_environment in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.update_environment] = mock_rpc
+
+        request = {}
+        await client.update_environment(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        await client.update_environment(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_update_environment_async(transport: str = 'grpc_asyncio', request_type=service.UpdateEnvironmentRequest):
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_environment),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        response = await client.update_environment(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = service.UpdateEnvironmentRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+@pytest.mark.asyncio
+async def test_update_environment_async_from_dict():
+    await test_update_environment_async(request_type=dict)
+
+def test_update_environment_field_headers():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.UpdateEnvironmentRequest()
+
+    request.environment.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_environment),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.update_environment(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'environment.name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_update_environment_field_headers_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.UpdateEnvironmentRequest()
+
+    request.environment.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_environment),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
+        await client.update_environment(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'environment.name=name_value',
+    ) in kw['metadata']
+
+
+def test_update_environment_flattened():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_environment),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.update_environment(
+            environment=analyze.Environment(name='name_value'),
+            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].environment
+        mock_val = analyze.Environment(name='name_value')
+        assert arg == mock_val
+        arg = args[0].update_mask
+        mock_val = field_mask_pb2.FieldMask(paths=['paths_value'])
+        assert arg == mock_val
+
+
+def test_update_environment_flattened_error():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.update_environment(
+            service.UpdateEnvironmentRequest(),
+            environment=analyze.Environment(name='name_value'),
+            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
+        )
+
+@pytest.mark.asyncio
+async def test_update_environment_flattened_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_environment),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.update_environment(
+            environment=analyze.Environment(name='name_value'),
+            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].environment
+        mock_val = analyze.Environment(name='name_value')
+        assert arg == mock_val
+        arg = args[0].update_mask
+        mock_val = field_mask_pb2.FieldMask(paths=['paths_value'])
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_update_environment_flattened_error_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.update_environment(
+            service.UpdateEnvironmentRequest(),
+            environment=analyze.Environment(name='name_value'),
+            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  service.DeleteEnvironmentRequest,
+  dict,
+])
+def test_delete_environment(request_type, transport: str = 'grpc'):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_environment),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/spam')
+        response = client.delete_environment(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = service.DeleteEnvironmentRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+def test_delete_environment_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = service.DeleteEnvironmentRequest(
+        name='name_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_environment),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.delete_environment(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == service.DeleteEnvironmentRequest(
+            name='name_value',
+        )
+
+def test_delete_environment_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = DataplexServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.delete_environment in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.delete_environment] = mock_rpc
+        request = {}
+        client.delete_environment(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        client.delete_environment(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_delete_environment_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = DataplexServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.delete_environment in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.delete_environment] = mock_rpc
+
+        request = {}
+        await client.delete_environment(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        await client.delete_environment(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_delete_environment_async(transport: str = 'grpc_asyncio', request_type=service.DeleteEnvironmentRequest):
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_environment),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        response = await client.delete_environment(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = service.DeleteEnvironmentRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+@pytest.mark.asyncio
+async def test_delete_environment_async_from_dict():
+    await test_delete_environment_async(request_type=dict)
+
+def test_delete_environment_field_headers():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.DeleteEnvironmentRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_environment),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.delete_environment(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_delete_environment_field_headers_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.DeleteEnvironmentRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_environment),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
+        await client.delete_environment(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+def test_delete_environment_flattened():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_environment),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.delete_environment(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+
+def test_delete_environment_flattened_error():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.delete_environment(
+            service.DeleteEnvironmentRequest(),
+            name='name_value',
+        )
+
+@pytest.mark.asyncio
+async def test_delete_environment_flattened_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_environment),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name='operations/op')
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.delete_environment(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_delete_environment_flattened_error_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.delete_environment(
+            service.DeleteEnvironmentRequest(),
+            name='name_value',
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  service.ListEnvironmentsRequest,
+  dict,
+])
+def test_list_environments(request_type, transport: str = 'grpc'):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_environments),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = service.ListEnvironmentsResponse(
+            next_page_token='next_page_token_value',
+        )
+        response = client.list_environments(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = service.ListEnvironmentsRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, pagers.ListEnvironmentsPager)
+    assert response.next_page_token == 'next_page_token_value'
+
+
+def test_list_environments_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = service.ListEnvironmentsRequest(
+        parent='parent_value',
+        page_token='page_token_value',
+        filter='filter_value',
+        order_by='order_by_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_environments),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.list_environments(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == service.ListEnvironmentsRequest(
+            parent='parent_value',
+            page_token='page_token_value',
+            filter='filter_value',
+            order_by='order_by_value',
+        )
+
+def test_list_environments_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = DataplexServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.list_environments in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.list_environments] = mock_rpc
+        request = {}
+        client.list_environments(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.list_environments(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_list_environments_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = DataplexServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.list_environments in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.list_environments] = mock_rpc
+
+        request = {}
+        await client.list_environments(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.list_environments(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_list_environments_async(transport: str = 'grpc_asyncio', request_type=service.ListEnvironmentsRequest):
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_environments),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(service.ListEnvironmentsResponse(
+            next_page_token='next_page_token_value',
+        ))
+        response = await client.list_environments(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = service.ListEnvironmentsRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, pagers.ListEnvironmentsAsyncPager)
+    assert response.next_page_token == 'next_page_token_value'
+
+
+@pytest.mark.asyncio
+async def test_list_environments_async_from_dict():
+    await test_list_environments_async(request_type=dict)
+
+def test_list_environments_field_headers():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.ListEnvironmentsRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_environments),
+            '__call__') as call:
+        call.return_value = service.ListEnvironmentsResponse()
+        client.list_environments(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_list_environments_field_headers_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.ListEnvironmentsRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_environments),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListEnvironmentsResponse())
+        await client.list_environments(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+def test_list_environments_flattened():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_environments),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = service.ListEnvironmentsResponse()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.list_environments(
+            parent='parent_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+
+
+def test_list_environments_flattened_error():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.list_environments(
+            service.ListEnvironmentsRequest(),
+            parent='parent_value',
+        )
+
+@pytest.mark.asyncio
+async def test_list_environments_flattened_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_environments),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = service.ListEnvironmentsResponse()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListEnvironmentsResponse())
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.list_environments(
+            parent='parent_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_list_environments_flattened_error_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.list_environments(
+            service.ListEnvironmentsRequest(),
+            parent='parent_value',
+        )
+
+
+def test_list_environments_pager(transport_name: str = "grpc"):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport_name,
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_environments),
+            '__call__') as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            service.ListEnvironmentsResponse(
+                environments=[
+                    analyze.Environment(),
+                    analyze.Environment(),
+                    analyze.Environment(),
+                ],
+                next_page_token='abc',
+            ),
+            service.ListEnvironmentsResponse(
+                environments=[],
+                next_page_token='def',
+            ),
+            service.ListEnvironmentsResponse(
+                environments=[
+                    analyze.Environment(),
+                ],
+                next_page_token='ghi',
+            ),
+            service.ListEnvironmentsResponse(
+                environments=[
+                    analyze.Environment(),
+                    analyze.Environment(),
+                ],
+            ),
+            RuntimeError,
+        )
+
+        expected_metadata = ()
+        retry = retries.Retry()
+        timeout = 5
+        expected_metadata = tuple(expected_metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ('parent', ''),
+            )),
+        )
+        pager = client.list_environments(request={}, retry=retry, timeout=timeout)
+
+        assert pager._metadata == expected_metadata
+        assert pager._retry == retry
+        assert pager._timeout == timeout
+
+        results = list(pager)
+        assert len(results) == 6
+        assert all(isinstance(i, analyze.Environment)
+                   for i in results)
+def test_list_environments_pages(transport_name: str = "grpc"):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport_name,
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_environments),
+            '__call__') as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            service.ListEnvironmentsResponse(
+                environments=[
+                    analyze.Environment(),
+                    analyze.Environment(),
+                    analyze.Environment(),
+                ],
+                next_page_token='abc',
+            ),
+            service.ListEnvironmentsResponse(
+                environments=[],
+                next_page_token='def',
+            ),
+            service.ListEnvironmentsResponse(
+                environments=[
+                    analyze.Environment(),
+                ],
+                next_page_token='ghi',
+            ),
+            service.ListEnvironmentsResponse(
+                environments=[
+                    analyze.Environment(),
+                    analyze.Environment(),
+                ],
+            ),
+            RuntimeError,
+        )
+        pages = list(client.list_environments(request={}).pages)
+        for page_, token in zip(pages, ['abc','def','ghi', '']):
+            assert page_.raw_page.next_page_token == token
+
+@pytest.mark.asyncio
+async def test_list_environments_async_pager():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_environments),
+            '__call__', new_callable=mock.AsyncMock) as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            service.ListEnvironmentsResponse(
+                environments=[
+                    analyze.Environment(),
+                    analyze.Environment(),
+                    analyze.Environment(),
+                ],
+                next_page_token='abc',
+            ),
+            service.ListEnvironmentsResponse(
+                environments=[],
+                next_page_token='def',
+            ),
+            service.ListEnvironmentsResponse(
+                environments=[
+                    analyze.Environment(),
+                ],
+                next_page_token='ghi',
+            ),
+            service.ListEnvironmentsResponse(
+                environments=[
+                    analyze.Environment(),
+                    analyze.Environment(),
+                ],
+            ),
+            RuntimeError,
+        )
+        async_pager = await client.list_environments(request={},)
+        assert async_pager.next_page_token == 'abc'
+        responses = []
+        async for response in async_pager: # pragma: no branch
+            responses.append(response)
+
+        assert len(responses) == 6
+        assert all(isinstance(i, analyze.Environment)
+                for i in responses)
+
+
+@pytest.mark.asyncio
+async def test_list_environments_async_pages():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_environments),
+            '__call__', new_callable=mock.AsyncMock) as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            service.ListEnvironmentsResponse(
+                environments=[
+                    analyze.Environment(),
+                    analyze.Environment(),
+                    analyze.Environment(),
+                ],
+                next_page_token='abc',
+            ),
+            service.ListEnvironmentsResponse(
+                environments=[],
+                next_page_token='def',
+            ),
+            service.ListEnvironmentsResponse(
+                environments=[
+                    analyze.Environment(),
+                ],
+                next_page_token='ghi',
+            ),
+            service.ListEnvironmentsResponse(
+                environments=[
+                    analyze.Environment(),
+                    analyze.Environment(),
+                ],
+            ),
+            RuntimeError,
+        )
+        pages = []
+        # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch`
+        # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372
+        async for page_ in ( # pragma: no branch
+            await client.list_environments(request={})
+        ).pages:
+            pages.append(page_)
+        for page_, token in zip(pages, ['abc','def','ghi', '']):
+            assert page_.raw_page.next_page_token == token
+
+@pytest.mark.parametrize("request_type", [
+  service.GetEnvironmentRequest,
+  dict,
+])
+def test_get_environment(request_type, transport: str = 'grpc'):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_environment),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = analyze.Environment(
+            name='name_value',
+            display_name='display_name_value',
+            uid='uid_value',
+            description='description_value',
+            state=resources.State.ACTIVE,
+        )
+        response = client.get_environment(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = service.GetEnvironmentRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, analyze.Environment)
+    assert response.name == 'name_value'
+    assert response.display_name == 'display_name_value'
+    assert response.uid == 'uid_value'
+    assert response.description == 'description_value'
+    assert response.state == resources.State.ACTIVE
+
+
+def test_get_environment_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = service.GetEnvironmentRequest(
+        name='name_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_environment),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.get_environment(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == service.GetEnvironmentRequest(
+            name='name_value',
+        )
+
+def test_get_environment_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = DataplexServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.get_environment in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.get_environment] = mock_rpc
+        request = {}
+        client.get_environment(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.get_environment(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_get_environment_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = DataplexServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.get_environment in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.get_environment] = mock_rpc
+
+        request = {}
+        await client.get_environment(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.get_environment(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_get_environment_async(transport: str = 'grpc_asyncio', request_type=service.GetEnvironmentRequest):
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_environment),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(analyze.Environment(
+            name='name_value',
+            display_name='display_name_value',
+            uid='uid_value',
+            description='description_value',
+            state=resources.State.ACTIVE,
+        ))
+        response = await client.get_environment(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = service.GetEnvironmentRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, analyze.Environment)
+    assert response.name == 'name_value'
+    assert response.display_name == 'display_name_value'
+    assert response.uid == 'uid_value'
+    assert response.description == 'description_value'
+    assert response.state == resources.State.ACTIVE
+
+
+@pytest.mark.asyncio
+async def test_get_environment_async_from_dict():
+    await test_get_environment_async(request_type=dict)
+
+def test_get_environment_field_headers():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.GetEnvironmentRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_environment),
+            '__call__') as call:
+        call.return_value = analyze.Environment()
+        client.get_environment(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_get_environment_field_headers_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.GetEnvironmentRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_environment),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(analyze.Environment())
+        await client.get_environment(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+def test_get_environment_flattened():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_environment),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = analyze.Environment()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.get_environment(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+
+def test_get_environment_flattened_error():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.get_environment(
+            service.GetEnvironmentRequest(),
+            name='name_value',
+        )
+
+@pytest.mark.asyncio
+async def test_get_environment_flattened_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_environment),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = analyze.Environment()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(analyze.Environment())
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.get_environment(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_get_environment_flattened_error_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.get_environment(
+            service.GetEnvironmentRequest(),
+            name='name_value',
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  service.ListSessionsRequest,
+  dict,
+])
+def test_list_sessions(request_type, transport: str = 'grpc'):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_sessions),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = service.ListSessionsResponse(
+            next_page_token='next_page_token_value',
+        )
+        response = client.list_sessions(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = service.ListSessionsRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, pagers.ListSessionsPager)
+    assert response.next_page_token == 'next_page_token_value'
+
+
+def test_list_sessions_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = service.ListSessionsRequest(
+        parent='parent_value',
+        page_token='page_token_value',
+        filter='filter_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_sessions),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.list_sessions(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == service.ListSessionsRequest(
+            parent='parent_value',
+            page_token='page_token_value',
+            filter='filter_value',
+        )
+
+def test_list_sessions_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = DataplexServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.list_sessions in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.list_sessions] = mock_rpc
+        request = {}
+        client.list_sessions(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.list_sessions(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_list_sessions_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = DataplexServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.list_sessions in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.list_sessions] = mock_rpc
+
+        request = {}
+        await client.list_sessions(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.list_sessions(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_list_sessions_async(transport: str = 'grpc_asyncio', request_type=service.ListSessionsRequest):
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_sessions),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(service.ListSessionsResponse(
+            next_page_token='next_page_token_value',
+        ))
+        response = await client.list_sessions(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = service.ListSessionsRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, pagers.ListSessionsAsyncPager)
+    assert response.next_page_token == 'next_page_token_value'
+
+
+@pytest.mark.asyncio
+async def test_list_sessions_async_from_dict():
+    await test_list_sessions_async(request_type=dict)
+
+def test_list_sessions_field_headers():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.ListSessionsRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_sessions),
+            '__call__') as call:
+        call.return_value = service.ListSessionsResponse()
+        client.list_sessions(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_list_sessions_field_headers_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = service.ListSessionsRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_sessions),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListSessionsResponse())
+        await client.list_sessions(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+def test_list_sessions_flattened():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_sessions),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = service.ListSessionsResponse()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.list_sessions(
+            parent='parent_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+
+
+def test_list_sessions_flattened_error():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.list_sessions(
+            service.ListSessionsRequest(),
+            parent='parent_value',
+        )
+
+@pytest.mark.asyncio
+async def test_list_sessions_flattened_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_sessions),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = service.ListSessionsResponse()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListSessionsResponse())
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.list_sessions(
+            parent='parent_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_list_sessions_flattened_error_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.list_sessions(
+            service.ListSessionsRequest(),
+            parent='parent_value',
+        )
+
+
+def test_list_sessions_pager(transport_name: str = "grpc"):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport_name,
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_sessions),
+            '__call__') as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            service.ListSessionsResponse(
+                sessions=[
+                    analyze.Session(),
+                    analyze.Session(),
+                    analyze.Session(),
+                ],
+                next_page_token='abc',
+            ),
+            service.ListSessionsResponse(
+                sessions=[],
+                next_page_token='def',
+            ),
+            service.ListSessionsResponse(
+                sessions=[
+                    analyze.Session(),
+                ],
+                next_page_token='ghi',
+            ),
+            service.ListSessionsResponse(
+                sessions=[
+                    analyze.Session(),
+                    analyze.Session(),
+                ],
+            ),
+            RuntimeError,
+        )
+
+        expected_metadata = ()
+        retry = retries.Retry()
+        timeout = 5
+        expected_metadata = tuple(expected_metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ('parent', ''),
+            )),
+        )
+        pager = client.list_sessions(request={}, retry=retry, timeout=timeout)
+
+        assert pager._metadata == expected_metadata
+        assert pager._retry == retry
+        assert pager._timeout == timeout
+
+        results = list(pager)
+        assert len(results) == 6
+        assert all(isinstance(i, analyze.Session)
+                   for i in results)
+def test_list_sessions_pages(transport_name: str = "grpc"):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport_name,
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_sessions),
+            '__call__') as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            service.ListSessionsResponse(
+                sessions=[
+                    analyze.Session(),
+                    analyze.Session(),
+                    analyze.Session(),
+                ],
+                next_page_token='abc',
+            ),
+            service.ListSessionsResponse(
+                sessions=[],
+                next_page_token='def',
+            ),
+            service.ListSessionsResponse(
+                sessions=[
+                    analyze.Session(),
+                ],
+                next_page_token='ghi',
+            ),
+            service.ListSessionsResponse(
+                sessions=[
+                    analyze.Session(),
+                    analyze.Session(),
+                ],
+            ),
+            RuntimeError,
+        )
+        pages = list(client.list_sessions(request={}).pages)
+        for page_, token in zip(pages, ['abc','def','ghi', '']):
+            assert page_.raw_page.next_page_token == token
+
+@pytest.mark.asyncio
+async def test_list_sessions_async_pager():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_sessions),
+            '__call__', new_callable=mock.AsyncMock) as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            service.ListSessionsResponse(
+                sessions=[
+                    analyze.Session(),
+                    analyze.Session(),
+                    analyze.Session(),
+                ],
+                next_page_token='abc',
+            ),
+            service.ListSessionsResponse(
+                sessions=[],
+                next_page_token='def',
+            ),
+            service.ListSessionsResponse(
+                sessions=[
+                    analyze.Session(),
+                ],
+                next_page_token='ghi',
+            ),
+            service.ListSessionsResponse(
+                sessions=[
+                    analyze.Session(),
+                    analyze.Session(),
+                ],
+            ),
+            RuntimeError,
+        )
+        async_pager = await client.list_sessions(request={},)
+        assert async_pager.next_page_token == 'abc'
+        responses = []
+        async for response in async_pager: # pragma: no branch
+            responses.append(response)
+
+        assert len(responses) == 6
+        assert all(isinstance(i, analyze.Session)
+                for i in responses)
+
+
+@pytest.mark.asyncio
+async def test_list_sessions_async_pages():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_sessions),
+            '__call__', new_callable=mock.AsyncMock) as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            service.ListSessionsResponse(
+                sessions=[
+                    analyze.Session(),
+                    analyze.Session(),
+                    analyze.Session(),
+                ],
+                next_page_token='abc',
+            ),
+            service.ListSessionsResponse(
+                sessions=[],
+                next_page_token='def',
+            ),
+            service.ListSessionsResponse(
+                sessions=[
+                    analyze.Session(),
+                ],
+                next_page_token='ghi',
+            ),
+            service.ListSessionsResponse(
+                sessions=[
+                    analyze.Session(),
+                    analyze.Session(),
+                ],
+            ),
+            RuntimeError,
+        )
+        pages = []
+        # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch`
+        # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372
+        async for page_ in ( # pragma: no branch
+            await client.list_sessions(request={})
+        ).pages:
+            pages.append(page_)
+        for page_, token in zip(pages, ['abc','def','ghi', '']):
+            assert page_.raw_page.next_page_token == token
+
+
+def test_credentials_transport_error():
+    # It is an error to provide credentials and a transport instance.
+    transport = transports.DataplexServiceGrpcTransport(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    with pytest.raises(ValueError):
+        client = DataplexServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport=transport,
+        )
+
+    # It is an error to provide a credentials file and a transport instance.
+    transport = transports.DataplexServiceGrpcTransport(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    with pytest.raises(ValueError):
+        client = DataplexServiceClient(
+            client_options={"credentials_file": "credentials.json"},
+            transport=transport,
+        )
+
+    # It is an error to provide an api_key and a transport instance.
+    transport = transports.DataplexServiceGrpcTransport(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    options = client_options.ClientOptions()
+    options.api_key = "api_key"
+    with pytest.raises(ValueError):
+        client = DataplexServiceClient(
+            client_options=options,
+            transport=transport,
+        )
+
+    # It is an error to provide an api_key and a credential.
+    options = client_options.ClientOptions()
+    options.api_key = "api_key"
+    with pytest.raises(ValueError):
+        client = DataplexServiceClient(
+            client_options=options,
+            credentials=ga_credentials.AnonymousCredentials()
+        )
+
+    # It is an error to provide scopes and a transport instance.
+    transport = transports.DataplexServiceGrpcTransport(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    with pytest.raises(ValueError):
+        client = DataplexServiceClient(
+            client_options={"scopes": ["1", "2"]},
+            transport=transport,
+        )
+
+
+def test_transport_instance():
+    # A client may be instantiated with a custom transport instance.
+    transport = transports.DataplexServiceGrpcTransport(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    client = DataplexServiceClient(transport=transport)
+    assert client.transport is transport
+
+def test_transport_get_channel():
+    # A client may be instantiated with a custom transport instance.
+    transport = transports.DataplexServiceGrpcTransport(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    channel = transport.grpc_channel
+    assert channel
+
+    transport = transports.DataplexServiceGrpcAsyncIOTransport(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    channel = transport.grpc_channel
+    assert channel
+
+@pytest.mark.parametrize("transport_class", [
+    transports.DataplexServiceGrpcTransport,
+    transports.DataplexServiceGrpcAsyncIOTransport,
+])
+def test_transport_adc(transport_class):
+    # Test default credentials are used if not provided.
+    with mock.patch.object(google.auth, 'default') as adc:
+        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
+        transport_class()
+        adc.assert_called_once()
+
+def test_transport_kind_grpc():
+    transport = DataplexServiceClient.get_transport_class("grpc")(
+        credentials=ga_credentials.AnonymousCredentials()
+    )
+    assert transport.kind == "grpc"
+
+
+def test_initialize_client_w_grpc():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc"
+    )
+    assert client is not None
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_create_lake_empty_call_grpc():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_lake),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.create_lake(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.CreateLakeRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_update_lake_empty_call_grpc():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_lake),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.update_lake(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.UpdateLakeRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_delete_lake_empty_call_grpc():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_lake),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.delete_lake(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.DeleteLakeRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_list_lakes_empty_call_grpc():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_lakes),
+            '__call__') as call:
+        call.return_value = service.ListLakesResponse()
+        client.list_lakes(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.ListLakesRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_get_lake_empty_call_grpc():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_lake),
+            '__call__') as call:
+        call.return_value = resources.Lake()
+        client.get_lake(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.GetLakeRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_list_lake_actions_empty_call_grpc():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_lake_actions),
+            '__call__') as call:
+        call.return_value = service.ListActionsResponse()
+        client.list_lake_actions(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.ListLakeActionsRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_create_zone_empty_call_grpc():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_zone),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.create_zone(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.CreateZoneRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_update_zone_empty_call_grpc():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_zone),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.update_zone(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.UpdateZoneRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_delete_zone_empty_call_grpc():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_zone),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.delete_zone(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.DeleteZoneRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_list_zones_empty_call_grpc():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_zones),
+            '__call__') as call:
+        call.return_value = service.ListZonesResponse()
+        client.list_zones(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.ListZonesRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_get_zone_empty_call_grpc():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_zone),
+            '__call__') as call:
+        call.return_value = resources.Zone()
+        client.get_zone(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.GetZoneRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_list_zone_actions_empty_call_grpc():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_zone_actions),
+            '__call__') as call:
+        call.return_value = service.ListActionsResponse()
+        client.list_zone_actions(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.ListZoneActionsRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_create_asset_empty_call_grpc():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_asset),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.create_asset(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.CreateAssetRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_update_asset_empty_call_grpc():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_asset),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.update_asset(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.UpdateAssetRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_delete_asset_empty_call_grpc():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_asset),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.delete_asset(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.DeleteAssetRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_list_assets_empty_call_grpc():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_assets),
+            '__call__') as call:
+        call.return_value = service.ListAssetsResponse()
+        client.list_assets(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.ListAssetsRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_get_asset_empty_call_grpc():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_asset),
+            '__call__') as call:
+        call.return_value = resources.Asset()
+        client.get_asset(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.GetAssetRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_list_asset_actions_empty_call_grpc():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_asset_actions),
+            '__call__') as call:
+        call.return_value = service.ListActionsResponse()
+        client.list_asset_actions(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.ListAssetActionsRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_create_task_empty_call_grpc():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_task),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.create_task(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.CreateTaskRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_update_task_empty_call_grpc():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_task),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.update_task(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.UpdateTaskRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_delete_task_empty_call_grpc():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_task),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.delete_task(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.DeleteTaskRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_list_tasks_empty_call_grpc():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_tasks),
+            '__call__') as call:
+        call.return_value = service.ListTasksResponse()
+        client.list_tasks(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.ListTasksRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_get_task_empty_call_grpc():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_task),
+            '__call__') as call:
+        call.return_value = tasks.Task()
+        client.get_task(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.GetTaskRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_list_jobs_empty_call_grpc():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_jobs),
+            '__call__') as call:
+        call.return_value = service.ListJobsResponse()
+        client.list_jobs(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.ListJobsRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_run_task_empty_call_grpc():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.run_task),
+            '__call__') as call:
+        call.return_value = service.RunTaskResponse()
+        client.run_task(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.RunTaskRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_get_job_empty_call_grpc():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_job),
+            '__call__') as call:
+        call.return_value = tasks.Job()
+        client.get_job(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.GetJobRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_cancel_job_empty_call_grpc():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.cancel_job),
+            '__call__') as call:
+        call.return_value = None
+        client.cancel_job(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.CancelJobRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_create_environment_empty_call_grpc():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_environment),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.create_environment(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.CreateEnvironmentRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_update_environment_empty_call_grpc():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_environment),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.update_environment(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.UpdateEnvironmentRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_delete_environment_empty_call_grpc():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_environment),
+            '__call__') as call:
+        call.return_value = operations_pb2.Operation(name='operations/op')
+        client.delete_environment(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.DeleteEnvironmentRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_list_environments_empty_call_grpc():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_environments),
+            '__call__') as call:
+        call.return_value = service.ListEnvironmentsResponse()
+        client.list_environments(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.ListEnvironmentsRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_get_environment_empty_call_grpc():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_environment),
+            '__call__') as call:
+        call.return_value = analyze.Environment()
+        client.get_environment(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.GetEnvironmentRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_list_sessions_empty_call_grpc():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_sessions),
+            '__call__') as call:
+        call.return_value = service.ListSessionsResponse()
+        client.list_sessions(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.ListSessionsRequest()
+
+        assert args[0] == request_msg
+
+
+def test_transport_kind_grpc_asyncio():
+    transport = DataplexServiceAsyncClient.get_transport_class("grpc_asyncio")(
+        credentials=async_anonymous_credentials()
+    )
+    assert transport.kind == "grpc_asyncio"
+
+
+def test_initialize_client_w_grpc_asyncio():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio"
+    )
+    assert client is not None
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_create_lake_empty_call_grpc_asyncio():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_lake),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        await client.create_lake(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.CreateLakeRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_update_lake_empty_call_grpc_asyncio():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_lake),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        await client.update_lake(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.UpdateLakeRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_delete_lake_empty_call_grpc_asyncio():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_lake),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        await client.delete_lake(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.DeleteLakeRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_list_lakes_empty_call_grpc_asyncio():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_lakes),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListLakesResponse(
+            next_page_token='next_page_token_value',
+            unreachable_locations=['unreachable_locations_value'],
+        ))
+        await client.list_lakes(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.ListLakesRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_get_lake_empty_call_grpc_asyncio():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_lake),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(resources.Lake(
+            name='name_value',
+            display_name='display_name_value',
+            uid='uid_value',
+            description='description_value',
+            state=resources.State.ACTIVE,
+            service_account='service_account_value',
+        ))
+        await client.get_lake(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.GetLakeRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_list_lake_actions_empty_call_grpc_asyncio():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_lake_actions),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListActionsResponse(
+            next_page_token='next_page_token_value',
+        ))
+        await client.list_lake_actions(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.ListLakeActionsRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_create_zone_empty_call_grpc_asyncio():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_zone),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        await client.create_zone(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.CreateZoneRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_update_zone_empty_call_grpc_asyncio():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_zone),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        await client.update_zone(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.UpdateZoneRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_delete_zone_empty_call_grpc_asyncio():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_zone),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        await client.delete_zone(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.DeleteZoneRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_list_zones_empty_call_grpc_asyncio():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_zones),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListZonesResponse(
+            next_page_token='next_page_token_value',
+        ))
+        await client.list_zones(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.ListZonesRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_get_zone_empty_call_grpc_asyncio():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_zone),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(resources.Zone(
+            name='name_value',
+            display_name='display_name_value',
+            uid='uid_value',
+            description='description_value',
+            state=resources.State.ACTIVE,
+            type_=resources.Zone.Type.RAW,
+        ))
+        await client.get_zone(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.GetZoneRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_list_zone_actions_empty_call_grpc_asyncio():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_zone_actions),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListActionsResponse(
+            next_page_token='next_page_token_value',
+        ))
+        await client.list_zone_actions(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.ListZoneActionsRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_create_asset_empty_call_grpc_asyncio():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_asset),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        await client.create_asset(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.CreateAssetRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_update_asset_empty_call_grpc_asyncio():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_asset),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        await client.update_asset(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.UpdateAssetRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_delete_asset_empty_call_grpc_asyncio():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_asset),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        await client.delete_asset(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.DeleteAssetRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_list_assets_empty_call_grpc_asyncio():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_assets),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListAssetsResponse(
+            next_page_token='next_page_token_value',
+        ))
+        await client.list_assets(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.ListAssetsRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_get_asset_empty_call_grpc_asyncio():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_asset),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(resources.Asset(
+            name='name_value',
+            display_name='display_name_value',
+            uid='uid_value',
+            description='description_value',
+            state=resources.State.ACTIVE,
+        ))
+        await client.get_asset(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.GetAssetRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_list_asset_actions_empty_call_grpc_asyncio():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_asset_actions),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListActionsResponse(
+            next_page_token='next_page_token_value',
+        ))
+        await client.list_asset_actions(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.ListAssetActionsRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_create_task_empty_call_grpc_asyncio():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_task),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        await client.create_task(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.CreateTaskRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_update_task_empty_call_grpc_asyncio():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_task),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        await client.update_task(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.UpdateTaskRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_delete_task_empty_call_grpc_asyncio():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_task),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        await client.delete_task(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.DeleteTaskRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_list_tasks_empty_call_grpc_asyncio():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_tasks),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListTasksResponse(
+            next_page_token='next_page_token_value',
+            unreachable_locations=['unreachable_locations_value'],
+        ))
+        await client.list_tasks(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.ListTasksRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_get_task_empty_call_grpc_asyncio():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_task),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(tasks.Task(
+            name='name_value',
+            uid='uid_value',
+            description='description_value',
+            display_name='display_name_value',
+            state=resources.State.ACTIVE,
+        ))
+        await client.get_task(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.GetTaskRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_list_jobs_empty_call_grpc_asyncio():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_jobs),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListJobsResponse(
+            next_page_token='next_page_token_value',
+        ))
+        await client.list_jobs(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.ListJobsRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_run_task_empty_call_grpc_asyncio():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.run_task),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.RunTaskResponse(
+        ))
+        await client.run_task(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.RunTaskRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_get_job_empty_call_grpc_asyncio():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_job),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(tasks.Job(
+            name='name_value',
+            uid='uid_value',
+            state=tasks.Job.State.RUNNING,
+            retry_count=1214,
+            service=tasks.Job.Service.DATAPROC,
+            service_job='service_job_value',
+            message='message_value',
+            trigger=tasks.Job.Trigger.TASK_CONFIG,
+        ))
+        await client.get_job(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.GetJobRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_cancel_job_empty_call_grpc_asyncio():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.cancel_job),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
+        await client.cancel_job(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.CancelJobRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_create_environment_empty_call_grpc_asyncio():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_environment),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        await client.create_environment(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.CreateEnvironmentRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_update_environment_empty_call_grpc_asyncio():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_environment),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        await client.update_environment(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.UpdateEnvironmentRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_delete_environment_empty_call_grpc_asyncio():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_environment),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name='operations/spam')
+        )
+        await client.delete_environment(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.DeleteEnvironmentRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_list_environments_empty_call_grpc_asyncio():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_environments),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListEnvironmentsResponse(
+            next_page_token='next_page_token_value',
+        ))
+        await client.list_environments(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.ListEnvironmentsRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_get_environment_empty_call_grpc_asyncio():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_environment),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(analyze.Environment(
+            name='name_value',
+            display_name='display_name_value',
+            uid='uid_value',
+            description='description_value',
+            state=resources.State.ACTIVE,
+        ))
+        await client.get_environment(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.GetEnvironmentRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_list_sessions_empty_call_grpc_asyncio():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_sessions),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListSessionsResponse(
+            next_page_token='next_page_token_value',
+        ))
+        await client.list_sessions(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = service.ListSessionsRequest()
+
+        assert args[0] == request_msg
+
+
+def test_transport_grpc_default():
+    # A client should use the gRPC transport by default.
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    assert isinstance(
+        client.transport,
+        transports.DataplexServiceGrpcTransport,
+    )
+
+def test_dataplex_service_base_transport_error():
+    # Passing both a credentials object and credentials_file should raise an error
+    with pytest.raises(core_exceptions.DuplicateCredentialArgs):
+        transport = transports.DataplexServiceTransport(
+            credentials=ga_credentials.AnonymousCredentials(),
+            credentials_file="credentials.json"
+        )
+
+
+def test_dataplex_service_base_transport():
+    # Instantiate the base transport.
+    with mock.patch('google.cloud.dataplex_v1.services.dataplex_service.transports.DataplexServiceTransport.__init__') as Transport:
+        Transport.return_value = None
+        transport = transports.DataplexServiceTransport(
+            credentials=ga_credentials.AnonymousCredentials(),
+        )
+
+    # Every method on the transport should just blindly
+    # raise NotImplementedError.
+    methods = (
+        'create_lake',
+        'update_lake',
+        'delete_lake',
+        'list_lakes',
+        'get_lake',
+        'list_lake_actions',
+        'create_zone',
+        'update_zone',
+        'delete_zone',
+        'list_zones',
+        'get_zone',
+        'list_zone_actions',
+        'create_asset',
+        'update_asset',
+        'delete_asset',
+        'list_assets',
+        'get_asset',
+        'list_asset_actions',
+        'create_task',
+        'update_task',
+        'delete_task',
+        'list_tasks',
+        'get_task',
+        'list_jobs',
+        'run_task',
+        'get_job',
+        'cancel_job',
+        'create_environment',
+        'update_environment',
+        'delete_environment',
+        'list_environments',
+        'get_environment',
+        'list_sessions',
+        'get_location',
+        'list_locations',
+        'get_operation',
+        'cancel_operation',
+        'delete_operation',
+        'list_operations',
+    )
+    for method in methods:
+        with pytest.raises(NotImplementedError):
+            getattr(transport, method)(request=object())
+
+    with pytest.raises(NotImplementedError):
+        transport.close()
+
+    # Additionally, the LRO client (a property) should
+    # also raise NotImplementedError
+    with pytest.raises(NotImplementedError):
+        transport.operations_client
+
+    # Catch all for all remaining methods and properties
+    remainder = [
+        'kind',
+    ]
+    for r in remainder:
+        with pytest.raises(NotImplementedError):
+            getattr(transport, r)()
+
+
+def test_dataplex_service_base_transport_with_credentials_file():
+    # Instantiate the base transport with a credentials file
+    with mock.patch.object(google.auth, 'load_credentials_from_file', autospec=True) as load_creds, mock.patch('google.cloud.dataplex_v1.services.dataplex_service.transports.DataplexServiceTransport._prep_wrapped_messages') as Transport:
+        Transport.return_value = None
+        load_creds.return_value = (ga_credentials.AnonymousCredentials(), None)
+        transport = transports.DataplexServiceTransport(
+            credentials_file="credentials.json",
+            quota_project_id="octopus",
+        )
+        load_creds.assert_called_once_with("credentials.json",
+            scopes=None,
+            default_scopes=(
+            'https://www.googleapis.com/auth/cloud-platform',
+),
+            quota_project_id="octopus",
+        )
+
+
+def test_dataplex_service_base_transport_with_adc():
+    # Test the default credentials are used if credentials and credentials_file are None.
+    with mock.patch.object(google.auth, 'default', autospec=True) as adc, mock.patch('google.cloud.dataplex_v1.services.dataplex_service.transports.DataplexServiceTransport._prep_wrapped_messages') as Transport:
+        Transport.return_value = None
+        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
+        transport = transports.DataplexServiceTransport()
+        adc.assert_called_once()
+
+
+def test_dataplex_service_auth_adc():
+    # If no credentials are provided, we should use ADC credentials.
+    with mock.patch.object(google.auth, 'default', autospec=True) as adc:
+        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
+        DataplexServiceClient()
+        adc.assert_called_once_with(
+            scopes=None,
+            default_scopes=(
+            'https://www.googleapis.com/auth/cloud-platform',
+),
+            quota_project_id=None,
+        )
+
+
+@pytest.mark.parametrize(
+    "transport_class",
+    [
+        transports.DataplexServiceGrpcTransport,
+        transports.DataplexServiceGrpcAsyncIOTransport,
+    ],
+)
+def test_dataplex_service_transport_auth_adc(transport_class):
+    # If credentials and host are not provided, the transport class should use
+    # ADC credentials.
+    with mock.patch.object(google.auth, 'default', autospec=True) as adc:
+        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
+        transport_class(quota_project_id="octopus", scopes=["1", "2"])
+        adc.assert_called_once_with(
+            scopes=["1", "2"],
+            default_scopes=(                'https://www.googleapis.com/auth/cloud-platform',),
+            quota_project_id="octopus",
+        )
+
+
+@pytest.mark.parametrize(
+    "transport_class",
+    [
+        transports.DataplexServiceGrpcTransport,
+        transports.DataplexServiceGrpcAsyncIOTransport,
+    ],
+)
+def test_dataplex_service_transport_auth_gdch_credentials(transport_class):
+    host = 'https://language.com'
+    api_audience_tests = [None, 'https://language2.com']
+    api_audience_expect = [host, 'https://language2.com']
+    for t, e in zip(api_audience_tests, api_audience_expect):
+        with mock.patch.object(google.auth, 'default', autospec=True) as adc:
+            gdch_mock = mock.MagicMock()
+            type(gdch_mock).with_gdch_audience = mock.PropertyMock(return_value=gdch_mock)
+            adc.return_value = (gdch_mock, None)
+            transport_class(host=host, api_audience=t)
+            gdch_mock.with_gdch_audience.assert_called_once_with(
+                e
+            )
+
+
+@pytest.mark.parametrize(
+    "transport_class,grpc_helpers",
+    [
+        (transports.DataplexServiceGrpcTransport, grpc_helpers),
+        (transports.DataplexServiceGrpcAsyncIOTransport, grpc_helpers_async)
+    ],
+)
+def test_dataplex_service_transport_create_channel(transport_class, grpc_helpers):
+    # If credentials and host are not provided, the transport class should use
+    # ADC credentials.
+    with mock.patch.object(google.auth, "default", autospec=True) as adc, mock.patch.object(
+        grpc_helpers, "create_channel", autospec=True
+    ) as create_channel:
+        creds = ga_credentials.AnonymousCredentials()
+        adc.return_value = (creds, None)
+        transport_class(
+            quota_project_id="octopus",
+            scopes=["1", "2"]
+        )
+
+        create_channel.assert_called_with(
+            "dataplex.googleapis.com:443",
+            credentials=creds,
+            credentials_file=None,
+            quota_project_id="octopus",
+            default_scopes=(
+                'https://www.googleapis.com/auth/cloud-platform',
+),
+            scopes=["1", "2"],
+            default_host="dataplex.googleapis.com",
+            ssl_credentials=None,
+            options=[
+                ("grpc.max_send_message_length", -1),
+                ("grpc.max_receive_message_length", -1),
+            ],
+        )
+
+
+@pytest.mark.parametrize("transport_class", [transports.DataplexServiceGrpcTransport, transports.DataplexServiceGrpcAsyncIOTransport])
+def test_dataplex_service_grpc_transport_client_cert_source_for_mtls(
+    transport_class
+):
+    cred = ga_credentials.AnonymousCredentials()
+
+    # Check ssl_channel_credentials is used if provided.
+    with mock.patch.object(transport_class, "create_channel") as mock_create_channel:
+        mock_ssl_channel_creds = mock.Mock()
+        transport_class(
+            host="squid.clam.whelk",
+            credentials=cred,
+            ssl_channel_credentials=mock_ssl_channel_creds
+        )
+        mock_create_channel.assert_called_once_with(
+            "squid.clam.whelk:443",
+            credentials=cred,
+            credentials_file=None,
+            scopes=None,
+            ssl_credentials=mock_ssl_channel_creds,
+            quota_project_id=None,
+            options=[
+                ("grpc.max_send_message_length", -1),
+                ("grpc.max_receive_message_length", -1),
+            ],
+        )
+
+    # Check if ssl_channel_credentials is not provided, then client_cert_source_for_mtls
+    # is used.
+    with mock.patch.object(transport_class, "create_channel", return_value=mock.Mock()):
+        with mock.patch("grpc.ssl_channel_credentials") as mock_ssl_cred:
+            transport_class(
+                credentials=cred,
+                client_cert_source_for_mtls=client_cert_source_callback
+            )
+            expected_cert, expected_key = client_cert_source_callback()
+            mock_ssl_cred.assert_called_once_with(
+                certificate_chain=expected_cert,
+                private_key=expected_key
+            )
+
+
+@pytest.mark.parametrize("transport_name", [
+    "grpc",
+    "grpc_asyncio",
+])
+def test_dataplex_service_host_no_port(transport_name):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        client_options=client_options.ClientOptions(api_endpoint='dataplex.googleapis.com'),
+         transport=transport_name,
+    )
+    assert client.transport._host == (
+        'dataplex.googleapis.com:443'
+    )
+
+@pytest.mark.parametrize("transport_name", [
+    "grpc",
+    "grpc_asyncio",
+])
+def test_dataplex_service_host_with_port(transport_name):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        client_options=client_options.ClientOptions(api_endpoint='dataplex.googleapis.com:8000'),
+        transport=transport_name,
+    )
+    assert client.transport._host == (
+        'dataplex.googleapis.com:8000'
+    )
+
+def test_dataplex_service_grpc_transport_channel():
+    channel = grpc.secure_channel('http://localhost/', grpc.local_channel_credentials())
+
+    # Check that channel is used if provided.
+    transport = transports.DataplexServiceGrpcTransport(
+        host="squid.clam.whelk",
+        channel=channel,
+    )
+    assert transport.grpc_channel == channel
+    assert transport._host == "squid.clam.whelk:443"
+    assert transport._ssl_channel_credentials == None
+
+
+def test_dataplex_service_grpc_asyncio_transport_channel():
+    channel = aio.secure_channel('http://localhost/', grpc.local_channel_credentials())
+
+    # Check that channel is used if provided.
+    transport = transports.DataplexServiceGrpcAsyncIOTransport(
+        host="squid.clam.whelk",
+        channel=channel,
+    )
+    assert transport.grpc_channel == channel
+    assert transport._host == "squid.clam.whelk:443"
+    assert transport._ssl_channel_credentials == None
+
+
+# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are
+# removed from grpc/grpc_asyncio transport constructor.
+@pytest.mark.parametrize("transport_class", [transports.DataplexServiceGrpcTransport, transports.DataplexServiceGrpcAsyncIOTransport])
+def test_dataplex_service_transport_channel_mtls_with_client_cert_source(
+    transport_class
+):
+    with mock.patch("grpc.ssl_channel_credentials", autospec=True) as grpc_ssl_channel_cred:
+        with mock.patch.object(transport_class, "create_channel") as grpc_create_channel:
+            mock_ssl_cred = mock.Mock()
+            grpc_ssl_channel_cred.return_value = mock_ssl_cred
+
+            mock_grpc_channel = mock.Mock()
+            grpc_create_channel.return_value = mock_grpc_channel
+
+            cred = ga_credentials.AnonymousCredentials()
+            with pytest.warns(DeprecationWarning):
+                with mock.patch.object(google.auth, 'default') as adc:
+                    adc.return_value = (cred, None)
+                    transport = transport_class(
+                        host="squid.clam.whelk",
+                        api_mtls_endpoint="mtls.squid.clam.whelk",
+                        client_cert_source=client_cert_source_callback,
+                    )
+                    adc.assert_called_once()
+
+            grpc_ssl_channel_cred.assert_called_once_with(
+                certificate_chain=b"cert bytes", private_key=b"key bytes"
+            )
+            grpc_create_channel.assert_called_once_with(
+                "mtls.squid.clam.whelk:443",
+                credentials=cred,
+                credentials_file=None,
+                scopes=None,
+                ssl_credentials=mock_ssl_cred,
+                quota_project_id=None,
+                options=[
+                    ("grpc.max_send_message_length", -1),
+                    ("grpc.max_receive_message_length", -1),
+                ],
+            )
+            assert transport.grpc_channel == mock_grpc_channel
+            assert transport._ssl_channel_credentials == mock_ssl_cred
+
+
+# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are
+# removed from grpc/grpc_asyncio transport constructor.
+@pytest.mark.parametrize("transport_class", [transports.DataplexServiceGrpcTransport, transports.DataplexServiceGrpcAsyncIOTransport])
+def test_dataplex_service_transport_channel_mtls_with_adc(
+    transport_class
+):
+    mock_ssl_cred = mock.Mock()
+    with mock.patch.multiple(
+        "google.auth.transport.grpc.SslCredentials",
+        __init__=mock.Mock(return_value=None),
+        ssl_credentials=mock.PropertyMock(return_value=mock_ssl_cred),
+    ):
+        with mock.patch.object(transport_class, "create_channel") as grpc_create_channel:
+            mock_grpc_channel = mock.Mock()
+            grpc_create_channel.return_value = mock_grpc_channel
+            mock_cred = mock.Mock()
+
+            with pytest.warns(DeprecationWarning):
+                transport = transport_class(
+                    host="squid.clam.whelk",
+                    credentials=mock_cred,
+                    api_mtls_endpoint="mtls.squid.clam.whelk",
+                    client_cert_source=None,
+                )
+
+            grpc_create_channel.assert_called_once_with(
+                "mtls.squid.clam.whelk:443",
+                credentials=mock_cred,
+                credentials_file=None,
+                scopes=None,
+                ssl_credentials=mock_ssl_cred,
+                quota_project_id=None,
+                options=[
+                    ("grpc.max_send_message_length", -1),
+                    ("grpc.max_receive_message_length", -1),
+                ],
+            )
+            assert transport.grpc_channel == mock_grpc_channel
+
+
+def test_dataplex_service_grpc_lro_client():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+    transport = client.transport
+
+    # Ensure that we have a api-core operations client.
+    assert isinstance(
+        transport.operations_client,
+        operations_v1.OperationsClient,
+    )
+
+    # Ensure that subsequent calls to the property send the exact same object.
+    assert transport.operations_client is transport.operations_client
+
+
+def test_dataplex_service_grpc_lro_async_client():
+    client = DataplexServiceAsyncClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc_asyncio',
+    )
+    transport = client.transport
+
+    # Ensure that we have a api-core operations client.
+    assert isinstance(
+        transport.operations_client,
+        operations_v1.OperationsAsyncClient,
+    )
+
+    # Ensure that subsequent calls to the property send the exact same object.
+    assert transport.operations_client is transport.operations_client
+
+
+def test_action_path():
+    project = "squid"
+    location = "clam"
+    lake = "whelk"
+    action = "octopus"
+    expected = "projects/{project}/locations/{location}/lakes/{lake}/actions/{action}".format(project=project, location=location, lake=lake, action=action, )
+    actual = DataplexServiceClient.action_path(project, location, lake, action)
+    assert expected == actual
+
+
+def test_parse_action_path():
+    expected = {
+        "project": "oyster",
+        "location": "nudibranch",
+        "lake": "cuttlefish",
+        "action": "mussel",
+    }
+    path = DataplexServiceClient.action_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = DataplexServiceClient.parse_action_path(path)
+    assert expected == actual
+
+def test_asset_path():
+    project = "winkle"
+    location = "nautilus"
+    lake = "scallop"
+    zone = "abalone"
+    asset = "squid"
+    expected = "projects/{project}/locations/{location}/lakes/{lake}/zones/{zone}/assets/{asset}".format(project=project, location=location, lake=lake, zone=zone, asset=asset, )
+    actual = DataplexServiceClient.asset_path(project, location, lake, zone, asset)
+    assert expected == actual
+
+
+def test_parse_asset_path():
+    expected = {
+        "project": "clam",
+        "location": "whelk",
+        "lake": "octopus",
+        "zone": "oyster",
+        "asset": "nudibranch",
+    }
+    path = DataplexServiceClient.asset_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = DataplexServiceClient.parse_asset_path(path)
+    assert expected == actual
+
+def test_environment_path():
+    project = "cuttlefish"
+    location = "mussel"
+    lake = "winkle"
+    environment = "nautilus"
+    expected = "projects/{project}/locations/{location}/lakes/{lake}/environments/{environment}".format(project=project, location=location, lake=lake, environment=environment, )
+    actual = DataplexServiceClient.environment_path(project, location, lake, environment)
+    assert expected == actual
+
+
+def test_parse_environment_path():
+    expected = {
+        "project": "scallop",
+        "location": "abalone",
+        "lake": "squid",
+        "environment": "clam",
+    }
+    path = DataplexServiceClient.environment_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = DataplexServiceClient.parse_environment_path(path)
+    assert expected == actual
+
+def test_job_path():
+    project = "whelk"
+    location = "octopus"
+    lake = "oyster"
+    task = "nudibranch"
+    job = "cuttlefish"
+    expected = "projects/{project}/locations/{location}/lakes/{lake}/tasks/{task}/jobs/{job}".format(project=project, location=location, lake=lake, task=task, job=job, )
+    actual = DataplexServiceClient.job_path(project, location, lake, task, job)
+    assert expected == actual
+
+
+def test_parse_job_path():
+    expected = {
+        "project": "mussel",
+        "location": "winkle",
+        "lake": "nautilus",
+        "task": "scallop",
+        "job": "abalone",
+    }
+    path = DataplexServiceClient.job_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = DataplexServiceClient.parse_job_path(path)
+    assert expected == actual
+
+def test_lake_path():
+    project = "squid"
+    location = "clam"
+    lake = "whelk"
+    expected = "projects/{project}/locations/{location}/lakes/{lake}".format(project=project, location=location, lake=lake, )
+    actual = DataplexServiceClient.lake_path(project, location, lake)
+    assert expected == actual
+
+
+def test_parse_lake_path():
+    expected = {
+        "project": "octopus",
+        "location": "oyster",
+        "lake": "nudibranch",
+    }
+    path = DataplexServiceClient.lake_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = DataplexServiceClient.parse_lake_path(path)
+    assert expected == actual
+
+def test_session_path():
+    project = "cuttlefish"
+    location = "mussel"
+    lake = "winkle"
+    environment = "nautilus"
+    session = "scallop"
+    expected = "projects/{project}/locations/{location}/lakes/{lake}/environments/{environment}/sessions/{session}".format(project=project, location=location, lake=lake, environment=environment, session=session, )
+    actual = DataplexServiceClient.session_path(project, location, lake, environment, session)
+    assert expected == actual
+
+
+def test_parse_session_path():
+    expected = {
+        "project": "abalone",
+        "location": "squid",
+        "lake": "clam",
+        "environment": "whelk",
+        "session": "octopus",
+    }
+    path = DataplexServiceClient.session_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = DataplexServiceClient.parse_session_path(path)
+    assert expected == actual
+
+def test_task_path():
+    project = "oyster"
+    location = "nudibranch"
+    lake = "cuttlefish"
+    task = "mussel"
+    expected = "projects/{project}/locations/{location}/lakes/{lake}/tasks/{task}".format(project=project, location=location, lake=lake, task=task, )
+    actual = DataplexServiceClient.task_path(project, location, lake, task)
+    assert expected == actual
+
+
+def test_parse_task_path():
+    expected = {
+        "project": "winkle",
+        "location": "nautilus",
+        "lake": "scallop",
+        "task": "abalone",
+    }
+    path = DataplexServiceClient.task_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = DataplexServiceClient.parse_task_path(path)
+    assert expected == actual
+
+def test_zone_path():
+    project = "squid"
+    location = "clam"
+    lake = "whelk"
+    zone = "octopus"
+    expected = "projects/{project}/locations/{location}/lakes/{lake}/zones/{zone}".format(project=project, location=location, lake=lake, zone=zone, )
+    actual = DataplexServiceClient.zone_path(project, location, lake, zone)
+    assert expected == actual
+
+
+def test_parse_zone_path():
+    expected = {
+        "project": "oyster",
+        "location": "nudibranch",
+        "lake": "cuttlefish",
+        "zone": "mussel",
+    }
+    path = DataplexServiceClient.zone_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = DataplexServiceClient.parse_zone_path(path)
+    assert expected == actual
+
+def test_common_billing_account_path():
+    billing_account = "winkle"
+    expected = "billingAccounts/{billing_account}".format(billing_account=billing_account, )
+    actual = DataplexServiceClient.common_billing_account_path(billing_account)
+    assert expected == actual
+
+
+def test_parse_common_billing_account_path():
+    expected = {
+        "billing_account": "nautilus",
+    }
+    path = DataplexServiceClient.common_billing_account_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = DataplexServiceClient.parse_common_billing_account_path(path)
+    assert expected == actual
+
+def test_common_folder_path():
+    folder = "scallop"
+    expected = "folders/{folder}".format(folder=folder, )
+    actual = DataplexServiceClient.common_folder_path(folder)
+    assert expected == actual
+
+
+def test_parse_common_folder_path():
+    expected = {
+        "folder": "abalone",
+    }
+    path = DataplexServiceClient.common_folder_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = DataplexServiceClient.parse_common_folder_path(path)
+    assert expected == actual
+
+def test_common_organization_path():
+    organization = "squid"
+    expected = "organizations/{organization}".format(organization=organization, )
+    actual = DataplexServiceClient.common_organization_path(organization)
+    assert expected == actual
+
+
+def test_parse_common_organization_path():
+    expected = {
+        "organization": "clam",
+    }
+    path = DataplexServiceClient.common_organization_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = DataplexServiceClient.parse_common_organization_path(path)
+    assert expected == actual
+
+def test_common_project_path():
+    project = "whelk"
+    expected = "projects/{project}".format(project=project, )
+    actual = DataplexServiceClient.common_project_path(project)
+    assert expected == actual
+
+
+def test_parse_common_project_path():
+    expected = {
+        "project": "octopus",
+    }
+    path = DataplexServiceClient.common_project_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = DataplexServiceClient.parse_common_project_path(path)
+    assert expected == actual
+
+def test_common_location_path():
+    project = "oyster"
+    location = "nudibranch"
+    expected = "projects/{project}/locations/{location}".format(project=project, location=location, )
+    actual = DataplexServiceClient.common_location_path(project, location)
+    assert expected == actual
+
+
+def test_parse_common_location_path():
+    expected = {
+        "project": "cuttlefish",
+        "location": "mussel",
+    }
+    path = DataplexServiceClient.common_location_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = DataplexServiceClient.parse_common_location_path(path)
+    assert expected == actual
+
+
+def test_client_with_default_client_info():
+    client_info = gapic_v1.client_info.ClientInfo()
+
+    with mock.patch.object(transports.DataplexServiceTransport, '_prep_wrapped_messages') as prep:
+        client = DataplexServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            client_info=client_info,
+        )
+        prep.assert_called_once_with(client_info)
+
+    with mock.patch.object(transports.DataplexServiceTransport, '_prep_wrapped_messages') as prep:
+        transport_class = DataplexServiceClient.get_transport_class()
+        transport = transport_class(
+            credentials=ga_credentials.AnonymousCredentials(),
+            client_info=client_info,
+        )
+        prep.assert_called_once_with(client_info)
+
+
+def test_delete_operation(transport: str = "grpc"):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.DeleteOperationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = None
+        response = client.delete_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert response is None
+@pytest.mark.asyncio
+async def test_delete_operation_async(transport: str = "grpc_asyncio"):
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.DeleteOperationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            None
+        )
+        response = await client.delete_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert response is None
+
+def test_delete_operation_field_headers():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.DeleteOperationRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
+        call.return_value =  None
+
+        client.delete_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+@pytest.mark.asyncio
+async def test_delete_operation_field_headers_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.DeleteOperationRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            None
+        )
+        await client.delete_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+
+def test_delete_operation_from_dict():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = None
+
+        response = client.delete_operation(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+@pytest.mark.asyncio
+async def test_delete_operation_from_dict_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            None
+        )
+        response = await client.delete_operation(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+
+
+def test_cancel_operation(transport: str = "grpc"):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.CancelOperationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = None
+        response = client.cancel_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert response is None
+@pytest.mark.asyncio
+async def test_cancel_operation_async(transport: str = "grpc_asyncio"):
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.CancelOperationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            None
+        )
+        response = await client.cancel_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert response is None
+
+def test_cancel_operation_field_headers():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.CancelOperationRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
+        call.return_value =  None
+
+        client.cancel_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+@pytest.mark.asyncio
+async def test_cancel_operation_field_headers_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.CancelOperationRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            None
+        )
+        await client.cancel_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+
+def test_cancel_operation_from_dict():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = None
+
+        response = client.cancel_operation(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+@pytest.mark.asyncio
+async def test_cancel_operation_from_dict_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            None
+        )
+        response = await client.cancel_operation(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+
+
+def test_get_operation(transport: str = "grpc"):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.GetOperationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation()
+        response = client.get_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, operations_pb2.Operation)
+@pytest.mark.asyncio
+async def test_get_operation_async(transport: str = "grpc_asyncio"):
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.GetOperationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation()
+        )
+        response = await client.get_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, operations_pb2.Operation)
+
+def test_get_operation_field_headers():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.GetOperationRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
+        call.return_value = operations_pb2.Operation()
+
+        client.get_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+@pytest.mark.asyncio
+async def test_get_operation_field_headers_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.GetOperationRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation()
+        )
+        await client.get_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+
+def test_get_operation_from_dict():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation()
+
+        response = client.get_operation(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+@pytest.mark.asyncio
+async def test_get_operation_from_dict_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation()
+        )
+        response = await client.get_operation(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+
+
+def test_list_operations(transport: str = "grpc"):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.ListOperationsRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.ListOperationsResponse()
+        response = client.list_operations(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, operations_pb2.ListOperationsResponse)
+@pytest.mark.asyncio
+async def test_list_operations_async(transport: str = "grpc_asyncio"):
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.ListOperationsRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.ListOperationsResponse()
+        )
+        response = await client.list_operations(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, operations_pb2.ListOperationsResponse)
+
+def test_list_operations_field_headers():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.ListOperationsRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
+        call.return_value = operations_pb2.ListOperationsResponse()
+
+        client.list_operations(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+@pytest.mark.asyncio
+async def test_list_operations_field_headers_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.ListOperationsRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.ListOperationsResponse()
+        )
+        await client.list_operations(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+
+def test_list_operations_from_dict():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.ListOperationsResponse()
+
+        response = client.list_operations(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+@pytest.mark.asyncio
+async def test_list_operations_from_dict_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.ListOperationsResponse()
+        )
+        response = await client.list_operations(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+
+
+def test_list_locations(transport: str = "grpc"):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = locations_pb2.ListLocationsRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = locations_pb2.ListLocationsResponse()
+        response = client.list_locations(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, locations_pb2.ListLocationsResponse)
+@pytest.mark.asyncio
+async def test_list_locations_async(transport: str = "grpc_asyncio"):
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = locations_pb2.ListLocationsRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            locations_pb2.ListLocationsResponse()
+        )
+        response = await client.list_locations(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, locations_pb2.ListLocationsResponse)
+
+def test_list_locations_field_headers():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = locations_pb2.ListLocationsRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
+        call.return_value = locations_pb2.ListLocationsResponse()
+
+        client.list_locations(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+@pytest.mark.asyncio
+async def test_list_locations_field_headers_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = locations_pb2.ListLocationsRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            locations_pb2.ListLocationsResponse()
+        )
+        await client.list_locations(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+
+def test_list_locations_from_dict():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = locations_pb2.ListLocationsResponse()
+
+        response = client.list_locations(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+@pytest.mark.asyncio
+async def test_list_locations_from_dict_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            locations_pb2.ListLocationsResponse()
+        )
+        response = await client.list_locations(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+
+
+def test_get_location(transport: str = "grpc"):
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = locations_pb2.GetLocationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_location), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = locations_pb2.Location()
+        response = client.get_location(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, locations_pb2.Location)
+@pytest.mark.asyncio
+async def test_get_location_async(transport: str = "grpc_asyncio"):
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = locations_pb2.GetLocationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_location), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            locations_pb2.Location()
+        )
+        response = await client.get_location(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, locations_pb2.Location)
+
+def test_get_location_field_headers():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials())
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = locations_pb2.GetLocationRequest()
+    request.name = "locations/abc"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_location), "__call__") as call:
+        call.return_value = locations_pb2.Location()
+
+        client.get_location(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations/abc",) in kw["metadata"]
+@pytest.mark.asyncio
+async def test_get_location_field_headers_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials()
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = locations_pb2.GetLocationRequest()
+    request.name = "locations/abc"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_location), "__call__") as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            locations_pb2.Location()
+        )
+        await client.get_location(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations/abc",) in kw["metadata"]
+
+def test_get_location_from_dict():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = locations_pb2.Location()
+
+        response = client.get_location(
+            request={
+                "name": "locations/abc",
+            }
+        )
+        call.assert_called()
+@pytest.mark.asyncio
+async def test_get_location_from_dict_async():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            locations_pb2.Location()
+        )
+        response = await client.get_location(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+
+
+def test_transport_close_grpc():
+    client = DataplexServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc"
+    )
+    with mock.patch.object(type(getattr(client.transport, "_grpc_channel")), "close") as close:
+        with client:
+            close.assert_not_called()
+        close.assert_called_once()
+
+
+@pytest.mark.asyncio
+async def test_transport_close_grpc_asyncio():
+    client = DataplexServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio"
+    )
+    with mock.patch.object(type(getattr(client.transport, "_grpc_channel")), "close") as close:
+        async with client:
+            close.assert_not_called()
+        close.assert_called_once()
+
+
+def test_client_ctx():
+    transports = [
+        'grpc',
+    ]
+    for transport in transports:
+        client = DataplexServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport=transport
+        )
+        # Test client calls underlying transport.
+        with mock.patch.object(type(client.transport), "close") as close:
+            close.assert_not_called()
+            with client:
+                pass
+            close.assert_called()
+
+@pytest.mark.parametrize("client_class,transport_class", [
+    (DataplexServiceClient, transports.DataplexServiceGrpcTransport),
+    (DataplexServiceAsyncClient, transports.DataplexServiceGrpcAsyncIOTransport),
+])
+def test_api_key_credentials(client_class, transport_class):
+    with mock.patch.object(
+        google.auth._default, "get_api_key_credentials", create=True
+    ) as get_api_key_credentials:
+        mock_cred = mock.Mock()
+        get_api_key_credentials.return_value = mock_cred
+        options = client_options.ClientOptions()
+        options.api_key = "api_key"
+        with mock.patch.object(transport_class, "__init__") as patched:
+            patched.return_value = None
+            client = client_class(client_options=options)
+            patched.assert_called_once_with(
+                credentials=mock_cred,
+                credentials_file=None,
+                host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
+                scopes=None,
+                client_cert_source_for_mtls=None,
+                quota_project_id=None,
+                client_info=transports.base.DEFAULT_CLIENT_INFO,
+                always_use_jwt_access=True,
+                api_audience=None,
+            )
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/tests/unit/gapic/dataplex_v1/test_metadata_service.py b/owl-bot-staging/google-cloud-dataplex/v1/tests/unit/gapic/dataplex_v1/test_metadata_service.py
new file mode 100644
index 000000000000..a5293c1b348a
--- /dev/null
+++ b/owl-bot-staging/google-cloud-dataplex/v1/tests/unit/gapic/dataplex_v1/test_metadata_service.py
@@ -0,0 +1,5952 @@
+# -*- coding: utf-8 -*-
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+import os
+# try/except added for compatibility with python < 3.8
+try:
+    from unittest import mock
+    from unittest.mock import AsyncMock  # pragma: NO COVER
+except ImportError:  # pragma: NO COVER
+    import mock
+
+import grpc
+from grpc.experimental import aio
+import math
+import pytest
+from google.api_core import api_core_version
+from proto.marshal.rules.dates import DurationRule, TimestampRule
+from proto.marshal.rules import wrappers
+
+try:
+    from google.auth.aio import credentials as ga_credentials_async
+    HAS_GOOGLE_AUTH_AIO = True
+except ImportError: # pragma: NO COVER
+    HAS_GOOGLE_AUTH_AIO = False
+
+from google.api_core import client_options
+from google.api_core import exceptions as core_exceptions
+from google.api_core import gapic_v1
+from google.api_core import grpc_helpers
+from google.api_core import grpc_helpers_async
+from google.api_core import path_template
+from google.api_core import retry as retries
+from google.auth import credentials as ga_credentials
+from google.auth.exceptions import MutualTLSChannelError
+from google.cloud.dataplex_v1.services.metadata_service import MetadataServiceAsyncClient
+from google.cloud.dataplex_v1.services.metadata_service import MetadataServiceClient
+from google.cloud.dataplex_v1.services.metadata_service import pagers
+from google.cloud.dataplex_v1.services.metadata_service import transports
+from google.cloud.dataplex_v1.types import metadata_
+from google.cloud.location import locations_pb2
+from google.iam.v1 import iam_policy_pb2  # type: ignore
+from google.iam.v1 import options_pb2  # type: ignore
+from google.iam.v1 import policy_pb2  # type: ignore
+from google.longrunning import operations_pb2 # type: ignore
+from google.oauth2 import service_account
+from google.protobuf import timestamp_pb2  # type: ignore
+import google.auth
+
+
+async def mock_async_gen(data, chunk_size=1):
+    for i in range(0, len(data)):  # pragma: NO COVER
+        chunk = data[i : i + chunk_size]
+        yield chunk.encode("utf-8")
+
+def client_cert_source_callback():
+    return b"cert bytes", b"key bytes"
+
+# TODO: use async auth anon credentials by default once the minimum version of google-auth is upgraded.
+# See related issue: https://github.com/googleapis/gapic-generator-python/issues/2107.
+def async_anonymous_credentials():
+    if HAS_GOOGLE_AUTH_AIO:
+        return ga_credentials_async.AnonymousCredentials()
+    return ga_credentials.AnonymousCredentials()
+
+# If default endpoint is localhost, then default mtls endpoint will be the same.
+# This method modifies the default endpoint so the client can produce a different
+# mtls endpoint for endpoint testing purposes.
+def modify_default_endpoint(client):
+    return "foo.googleapis.com" if ("localhost" in client.DEFAULT_ENDPOINT) else client.DEFAULT_ENDPOINT
+
+# If default endpoint template is localhost, then default mtls endpoint will be the same.
+# This method modifies the default endpoint template so the client can produce a different
+# mtls endpoint for endpoint testing purposes.
+def modify_default_endpoint_template(client):
+    return "test.{UNIVERSE_DOMAIN}" if ("localhost" in client._DEFAULT_ENDPOINT_TEMPLATE) else client._DEFAULT_ENDPOINT_TEMPLATE
+
+
+def test__get_default_mtls_endpoint():
+    api_endpoint = "example.googleapis.com"
+    api_mtls_endpoint = "example.mtls.googleapis.com"
+    sandbox_endpoint = "example.sandbox.googleapis.com"
+    sandbox_mtls_endpoint = "example.mtls.sandbox.googleapis.com"
+    non_googleapi = "api.example.com"
+
+    assert MetadataServiceClient._get_default_mtls_endpoint(None) is None
+    assert MetadataServiceClient._get_default_mtls_endpoint(api_endpoint) == api_mtls_endpoint
+    assert MetadataServiceClient._get_default_mtls_endpoint(api_mtls_endpoint) == api_mtls_endpoint
+    assert MetadataServiceClient._get_default_mtls_endpoint(sandbox_endpoint) == sandbox_mtls_endpoint
+    assert MetadataServiceClient._get_default_mtls_endpoint(sandbox_mtls_endpoint) == sandbox_mtls_endpoint
+    assert MetadataServiceClient._get_default_mtls_endpoint(non_googleapi) == non_googleapi
+
+def test__read_environment_variables():
+    assert MetadataServiceClient._read_environment_variables() == (False, "auto", None)
+
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
+        assert MetadataServiceClient._read_environment_variables() == (True, "auto", None)
+
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "false"}):
+        assert MetadataServiceClient._read_environment_variables() == (False, "auto", None)
+
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}):
+        with pytest.raises(ValueError) as excinfo:
+            MetadataServiceClient._read_environment_variables()
+    assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`"
+
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
+        assert MetadataServiceClient._read_environment_variables() == (False, "never", None)
+
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
+        assert MetadataServiceClient._read_environment_variables() == (False, "always", None)
+
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "auto"}):
+        assert MetadataServiceClient._read_environment_variables() == (False, "auto", None)
+
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}):
+        with pytest.raises(MutualTLSChannelError) as excinfo:
+            MetadataServiceClient._read_environment_variables()
+    assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`"
+
+    with mock.patch.dict(os.environ, {"GOOGLE_CLOUD_UNIVERSE_DOMAIN": "foo.com"}):
+        assert MetadataServiceClient._read_environment_variables() == (False, "auto", "foo.com")
+
+def test__get_client_cert_source():
+    mock_provided_cert_source = mock.Mock()
+    mock_default_cert_source = mock.Mock()
+
+    assert MetadataServiceClient._get_client_cert_source(None, False) is None
+    assert MetadataServiceClient._get_client_cert_source(mock_provided_cert_source, False) is None
+    assert MetadataServiceClient._get_client_cert_source(mock_provided_cert_source, True) == mock_provided_cert_source
+
+    with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True):
+        with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=mock_default_cert_source):
+            assert MetadataServiceClient._get_client_cert_source(None, True) is mock_default_cert_source
+            assert MetadataServiceClient._get_client_cert_source(mock_provided_cert_source, "true") is mock_provided_cert_source
+
+@mock.patch.object(MetadataServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(MetadataServiceClient))
+@mock.patch.object(MetadataServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(MetadataServiceAsyncClient))
+def test__get_api_endpoint():
+    api_override = "foo.com"
+    mock_client_cert_source = mock.Mock()
+    default_universe = MetadataServiceClient._DEFAULT_UNIVERSE
+    default_endpoint = MetadataServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=default_universe)
+    mock_universe = "bar.com"
+    mock_endpoint = MetadataServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=mock_universe)
+
+    assert MetadataServiceClient._get_api_endpoint(api_override, mock_client_cert_source, default_universe, "always") == api_override
+    assert MetadataServiceClient._get_api_endpoint(None, mock_client_cert_source, default_universe, "auto") == MetadataServiceClient.DEFAULT_MTLS_ENDPOINT
+    assert MetadataServiceClient._get_api_endpoint(None, None, default_universe, "auto") == default_endpoint
+    assert MetadataServiceClient._get_api_endpoint(None, None, default_universe, "always") == MetadataServiceClient.DEFAULT_MTLS_ENDPOINT
+    assert MetadataServiceClient._get_api_endpoint(None, mock_client_cert_source, default_universe, "always") == MetadataServiceClient.DEFAULT_MTLS_ENDPOINT
+    assert MetadataServiceClient._get_api_endpoint(None, None, mock_universe, "never") == mock_endpoint
+    assert MetadataServiceClient._get_api_endpoint(None, None, default_universe, "never") == default_endpoint
+
+    with pytest.raises(MutualTLSChannelError) as excinfo:
+        MetadataServiceClient._get_api_endpoint(None, mock_client_cert_source, mock_universe, "auto")
+    assert str(excinfo.value) == "mTLS is not supported in any universe other than googleapis.com."
+
+
+def test__get_universe_domain():
+    client_universe_domain = "foo.com"
+    universe_domain_env = "bar.com"
+
+    assert MetadataServiceClient._get_universe_domain(client_universe_domain, universe_domain_env) == client_universe_domain
+    assert MetadataServiceClient._get_universe_domain(None, universe_domain_env) == universe_domain_env
+    assert MetadataServiceClient._get_universe_domain(None, None) == MetadataServiceClient._DEFAULT_UNIVERSE
+
+    with pytest.raises(ValueError) as excinfo:
+        MetadataServiceClient._get_universe_domain("", None)
+    assert str(excinfo.value) == "Universe Domain cannot be an empty string."
+
+
+@pytest.mark.parametrize("client_class,transport_name", [
+    (MetadataServiceClient, "grpc"),
+    (MetadataServiceAsyncClient, "grpc_asyncio"),
+])
+def test_metadata_service_client_from_service_account_info(client_class, transport_name):
+    creds = ga_credentials.AnonymousCredentials()
+    with mock.patch.object(service_account.Credentials, 'from_service_account_info') as factory:
+        factory.return_value = creds
+        info = {"valid": True}
+        client = client_class.from_service_account_info(info, transport=transport_name)
+        assert client.transport._credentials == creds
+        assert isinstance(client, client_class)
+
+        assert client.transport._host == (
+            'dataplex.googleapis.com:443'
+        )
+
+
+@pytest.mark.parametrize("transport_class,transport_name", [
+    (transports.MetadataServiceGrpcTransport, "grpc"),
+    (transports.MetadataServiceGrpcAsyncIOTransport, "grpc_asyncio"),
+])
+def test_metadata_service_client_service_account_always_use_jwt(transport_class, transport_name):
+    with mock.patch.object(service_account.Credentials, 'with_always_use_jwt_access', create=True) as use_jwt:
+        creds = service_account.Credentials(None, None, None)
+        transport = transport_class(credentials=creds, always_use_jwt_access=True)
+        use_jwt.assert_called_once_with(True)
+
+    with mock.patch.object(service_account.Credentials, 'with_always_use_jwt_access', create=True) as use_jwt:
+        creds = service_account.Credentials(None, None, None)
+        transport = transport_class(credentials=creds, always_use_jwt_access=False)
+        use_jwt.assert_not_called()
+
+
+@pytest.mark.parametrize("client_class,transport_name", [
+    (MetadataServiceClient, "grpc"),
+    (MetadataServiceAsyncClient, "grpc_asyncio"),
+])
+def test_metadata_service_client_from_service_account_file(client_class, transport_name):
+    creds = ga_credentials.AnonymousCredentials()
+    with mock.patch.object(service_account.Credentials, 'from_service_account_file') as factory:
+        factory.return_value = creds
+        client = client_class.from_service_account_file("dummy/file/path.json", transport=transport_name)
+        assert client.transport._credentials == creds
+        assert isinstance(client, client_class)
+
+        client = client_class.from_service_account_json("dummy/file/path.json", transport=transport_name)
+        assert client.transport._credentials == creds
+        assert isinstance(client, client_class)
+
+        assert client.transport._host == (
+            'dataplex.googleapis.com:443'
+        )
+
+
+def test_metadata_service_client_get_transport_class():
+    transport = MetadataServiceClient.get_transport_class()
+    available_transports = [
+        transports.MetadataServiceGrpcTransport,
+    ]
+    assert transport in available_transports
+
+    transport = MetadataServiceClient.get_transport_class("grpc")
+    assert transport == transports.MetadataServiceGrpcTransport
+
+
+@pytest.mark.parametrize("client_class,transport_class,transport_name", [
+    (MetadataServiceClient, transports.MetadataServiceGrpcTransport, "grpc"),
+    (MetadataServiceAsyncClient, transports.MetadataServiceGrpcAsyncIOTransport, "grpc_asyncio"),
+])
+@mock.patch.object(MetadataServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(MetadataServiceClient))
+@mock.patch.object(MetadataServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(MetadataServiceAsyncClient))
+def test_metadata_service_client_client_options(client_class, transport_class, transport_name):
+    # Check that if channel is provided we won't create a new one.
+    with mock.patch.object(MetadataServiceClient, 'get_transport_class') as gtc:
+        transport = transport_class(
+            credentials=ga_credentials.AnonymousCredentials()
+        )
+        client = client_class(transport=transport)
+        gtc.assert_not_called()
+
+    # Check that if channel is provided via str we will create a new one.
+    with mock.patch.object(MetadataServiceClient, 'get_transport_class') as gtc:
+        client = client_class(transport=transport_name)
+        gtc.assert_called()
+
+    # Check the case api_endpoint is provided.
+    options = client_options.ClientOptions(api_endpoint="squid.clam.whelk")
+    with mock.patch.object(transport_class, '__init__') as patched:
+        patched.return_value = None
+        client = client_class(transport=transport_name, client_options=options)
+        patched.assert_called_once_with(
+            credentials=None,
+            credentials_file=None,
+            host="squid.clam.whelk",
+            scopes=None,
+            client_cert_source_for_mtls=None,
+            quota_project_id=None,
+            client_info=transports.base.DEFAULT_CLIENT_INFO,
+            always_use_jwt_access=True,
+            api_audience=None,
+        )
+
+    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is
+    # "never".
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
+        with mock.patch.object(transport_class, '__init__') as patched:
+            patched.return_value = None
+            client = client_class(transport=transport_name)
+            patched.assert_called_once_with(
+                credentials=None,
+                credentials_file=None,
+                host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
+                scopes=None,
+                client_cert_source_for_mtls=None,
+                quota_project_id=None,
+                client_info=transports.base.DEFAULT_CLIENT_INFO,
+                always_use_jwt_access=True,
+                api_audience=None,
+            )
+
+    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is
+    # "always".
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
+        with mock.patch.object(transport_class, '__init__') as patched:
+            patched.return_value = None
+            client = client_class(transport=transport_name)
+            patched.assert_called_once_with(
+                credentials=None,
+                credentials_file=None,
+                host=client.DEFAULT_MTLS_ENDPOINT,
+                scopes=None,
+                client_cert_source_for_mtls=None,
+                quota_project_id=None,
+                client_info=transports.base.DEFAULT_CLIENT_INFO,
+                always_use_jwt_access=True,
+                api_audience=None,
+            )
+
+    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT has
+    # unsupported value.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}):
+        with pytest.raises(MutualTLSChannelError) as excinfo:
+            client = client_class(transport=transport_name)
+    assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`"
+
+    # Check the case GOOGLE_API_USE_CLIENT_CERTIFICATE has unsupported value.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}):
+        with pytest.raises(ValueError) as excinfo:
+            client = client_class(transport=transport_name)
+    assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`"
+
+    # Check the case quota_project_id is provided
+    options = client_options.ClientOptions(quota_project_id="octopus")
+    with mock.patch.object(transport_class, '__init__') as patched:
+        patched.return_value = None
+        client = client_class(client_options=options, transport=transport_name)
+        patched.assert_called_once_with(
+            credentials=None,
+            credentials_file=None,
+            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
+            scopes=None,
+            client_cert_source_for_mtls=None,
+            quota_project_id="octopus",
+            client_info=transports.base.DEFAULT_CLIENT_INFO,
+            always_use_jwt_access=True,
+            api_audience=None,
+        )
+    # Check the case api_endpoint is provided
+    options = client_options.ClientOptions(api_audience="https://language.googleapis.com")
+    with mock.patch.object(transport_class, '__init__') as patched:
+        patched.return_value = None
+        client = client_class(client_options=options, transport=transport_name)
+        patched.assert_called_once_with(
+            credentials=None,
+            credentials_file=None,
+            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
+            scopes=None,
+            client_cert_source_for_mtls=None,
+            quota_project_id=None,
+            client_info=transports.base.DEFAULT_CLIENT_INFO,
+            always_use_jwt_access=True,
+            api_audience="https://language.googleapis.com"
+        )
+
+@pytest.mark.parametrize("client_class,transport_class,transport_name,use_client_cert_env", [
+    (MetadataServiceClient, transports.MetadataServiceGrpcTransport, "grpc", "true"),
+    (MetadataServiceAsyncClient, transports.MetadataServiceGrpcAsyncIOTransport, "grpc_asyncio", "true"),
+    (MetadataServiceClient, transports.MetadataServiceGrpcTransport, "grpc", "false"),
+    (MetadataServiceAsyncClient, transports.MetadataServiceGrpcAsyncIOTransport, "grpc_asyncio", "false"),
+])
+@mock.patch.object(MetadataServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(MetadataServiceClient))
+@mock.patch.object(MetadataServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(MetadataServiceAsyncClient))
+@mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "auto"})
+def test_metadata_service_client_mtls_env_auto(client_class, transport_class, transport_name, use_client_cert_env):
+    # This tests the endpoint autoswitch behavior. Endpoint is autoswitched to the default
+    # mtls endpoint, if GOOGLE_API_USE_CLIENT_CERTIFICATE is "true" and client cert exists.
+
+    # Check the case client_cert_source is provided. Whether client cert is used depends on
+    # GOOGLE_API_USE_CLIENT_CERTIFICATE value.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}):
+        options = client_options.ClientOptions(client_cert_source=client_cert_source_callback)
+        with mock.patch.object(transport_class, '__init__') as patched:
+            patched.return_value = None
+            client = client_class(client_options=options, transport=transport_name)
+
+            if use_client_cert_env == "false":
+                expected_client_cert_source = None
+                expected_host = client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE)
+            else:
+                expected_client_cert_source = client_cert_source_callback
+                expected_host = client.DEFAULT_MTLS_ENDPOINT
+
+            patched.assert_called_once_with(
+                credentials=None,
+                credentials_file=None,
+                host=expected_host,
+                scopes=None,
+                client_cert_source_for_mtls=expected_client_cert_source,
+                quota_project_id=None,
+                client_info=transports.base.DEFAULT_CLIENT_INFO,
+                always_use_jwt_access=True,
+                api_audience=None,
+            )
+
+    # Check the case ADC client cert is provided. Whether client cert is used depends on
+    # GOOGLE_API_USE_CLIENT_CERTIFICATE value.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}):
+        with mock.patch.object(transport_class, '__init__') as patched:
+            with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True):
+                with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=client_cert_source_callback):
+                    if use_client_cert_env == "false":
+                        expected_host = client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE)
+                        expected_client_cert_source = None
+                    else:
+                        expected_host = client.DEFAULT_MTLS_ENDPOINT
+                        expected_client_cert_source = client_cert_source_callback
+
+                    patched.return_value = None
+                    client = client_class(transport=transport_name)
+                    patched.assert_called_once_with(
+                        credentials=None,
+                        credentials_file=None,
+                        host=expected_host,
+                        scopes=None,
+                        client_cert_source_for_mtls=expected_client_cert_source,
+                        quota_project_id=None,
+                        client_info=transports.base.DEFAULT_CLIENT_INFO,
+                        always_use_jwt_access=True,
+                        api_audience=None,
+                    )
+
+    # Check the case client_cert_source and ADC client cert are not provided.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}):
+        with mock.patch.object(transport_class, '__init__') as patched:
+            with mock.patch("google.auth.transport.mtls.has_default_client_cert_source", return_value=False):
+                patched.return_value = None
+                client = client_class(transport=transport_name)
+                patched.assert_called_once_with(
+                    credentials=None,
+                    credentials_file=None,
+                    host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
+                    scopes=None,
+                    client_cert_source_for_mtls=None,
+                    quota_project_id=None,
+                    client_info=transports.base.DEFAULT_CLIENT_INFO,
+                    always_use_jwt_access=True,
+                    api_audience=None,
+                )
+
+
+@pytest.mark.parametrize("client_class", [
+    MetadataServiceClient, MetadataServiceAsyncClient
+])
+@mock.patch.object(MetadataServiceClient, "DEFAULT_ENDPOINT", modify_default_endpoint(MetadataServiceClient))
+@mock.patch.object(MetadataServiceAsyncClient, "DEFAULT_ENDPOINT", modify_default_endpoint(MetadataServiceAsyncClient))
+def test_metadata_service_client_get_mtls_endpoint_and_cert_source(client_class):
+    mock_client_cert_source = mock.Mock()
+
+    # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "true".
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
+        mock_api_endpoint = "foo"
+        options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint)
+        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(options)
+        assert api_endpoint == mock_api_endpoint
+        assert cert_source == mock_client_cert_source
+
+    # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "false".
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "false"}):
+        mock_client_cert_source = mock.Mock()
+        mock_api_endpoint = "foo"
+        options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint)
+        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(options)
+        assert api_endpoint == mock_api_endpoint
+        assert cert_source is None
+
+    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "never".
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
+        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
+        assert api_endpoint == client_class.DEFAULT_ENDPOINT
+        assert cert_source is None
+
+    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "always".
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
+        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
+        assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT
+        assert cert_source is None
+
+    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert doesn't exist.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
+        with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=False):
+            api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
+            assert api_endpoint == client_class.DEFAULT_ENDPOINT
+            assert cert_source is None
+
+    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert exists.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
+        with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True):
+            with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=mock_client_cert_source):
+                api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
+                assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT
+                assert cert_source == mock_client_cert_source
+
+    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT has
+    # unsupported value.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}):
+        with pytest.raises(MutualTLSChannelError) as excinfo:
+            client_class.get_mtls_endpoint_and_cert_source()
+
+        assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`"
+
+    # Check the case GOOGLE_API_USE_CLIENT_CERTIFICATE has unsupported value.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}):
+        with pytest.raises(ValueError) as excinfo:
+            client_class.get_mtls_endpoint_and_cert_source()
+
+        assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`"
+
+@pytest.mark.parametrize("client_class", [
+    MetadataServiceClient, MetadataServiceAsyncClient
+])
+@mock.patch.object(MetadataServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(MetadataServiceClient))
+@mock.patch.object(MetadataServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(MetadataServiceAsyncClient))
+def test_metadata_service_client_client_api_endpoint(client_class):
+    mock_client_cert_source = client_cert_source_callback
+    api_override = "foo.com"
+    default_universe = MetadataServiceClient._DEFAULT_UNIVERSE
+    default_endpoint = MetadataServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=default_universe)
+    mock_universe = "bar.com"
+    mock_endpoint = MetadataServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=mock_universe)
+
+    # If ClientOptions.api_endpoint is set and GOOGLE_API_USE_CLIENT_CERTIFICATE="true",
+    # use ClientOptions.api_endpoint as the api endpoint regardless.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
+        with mock.patch("google.auth.transport.requests.AuthorizedSession.configure_mtls_channel"):
+            options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=api_override)
+            client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials())
+            assert client.api_endpoint == api_override
+
+    # If ClientOptions.api_endpoint is not set and GOOGLE_API_USE_MTLS_ENDPOINT="never",
+    # use the _DEFAULT_ENDPOINT_TEMPLATE populated with GDU as the api endpoint.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
+        client = client_class(credentials=ga_credentials.AnonymousCredentials())
+        assert client.api_endpoint == default_endpoint
+
+    # If ClientOptions.api_endpoint is not set and GOOGLE_API_USE_MTLS_ENDPOINT="always",
+    # use the DEFAULT_MTLS_ENDPOINT as the api endpoint.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
+        client = client_class(credentials=ga_credentials.AnonymousCredentials())
+        assert client.api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT
+
+    # If ClientOptions.api_endpoint is not set, GOOGLE_API_USE_MTLS_ENDPOINT="auto" (default),
+    # GOOGLE_API_USE_CLIENT_CERTIFICATE="false" (default), default cert source doesn't exist,
+    # and ClientOptions.universe_domain="bar.com",
+    # use the _DEFAULT_ENDPOINT_TEMPLATE populated with universe domain as the api endpoint.
+    options = client_options.ClientOptions()
+    universe_exists = hasattr(options, "universe_domain")
+    if universe_exists:
+        options = client_options.ClientOptions(universe_domain=mock_universe)
+        client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials())
+    else:
+        client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials())
+    assert client.api_endpoint == (mock_endpoint if universe_exists else default_endpoint)
+    assert client.universe_domain == (mock_universe if universe_exists else default_universe)
+
+    # If ClientOptions does not have a universe domain attribute and GOOGLE_API_USE_MTLS_ENDPOINT="never",
+    # use the _DEFAULT_ENDPOINT_TEMPLATE populated with GDU as the api endpoint.
+    options = client_options.ClientOptions()
+    if hasattr(options, "universe_domain"):
+        delattr(options, "universe_domain")
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
+        client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials())
+        assert client.api_endpoint == default_endpoint
+
+
+@pytest.mark.parametrize("client_class,transport_class,transport_name", [
+    (MetadataServiceClient, transports.MetadataServiceGrpcTransport, "grpc"),
+    (MetadataServiceAsyncClient, transports.MetadataServiceGrpcAsyncIOTransport, "grpc_asyncio"),
+])
+def test_metadata_service_client_client_options_scopes(client_class, transport_class, transport_name):
+    # Check the case scopes are provided.
+    options = client_options.ClientOptions(
+        scopes=["1", "2"],
+    )
+    with mock.patch.object(transport_class, '__init__') as patched:
+        patched.return_value = None
+        client = client_class(client_options=options, transport=transport_name)
+        patched.assert_called_once_with(
+            credentials=None,
+            credentials_file=None,
+            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
+            scopes=["1", "2"],
+            client_cert_source_for_mtls=None,
+            quota_project_id=None,
+            client_info=transports.base.DEFAULT_CLIENT_INFO,
+            always_use_jwt_access=True,
+            api_audience=None,
+        )
+
+@pytest.mark.parametrize("client_class,transport_class,transport_name,grpc_helpers", [
+    (MetadataServiceClient, transports.MetadataServiceGrpcTransport, "grpc", grpc_helpers),
+    (MetadataServiceAsyncClient, transports.MetadataServiceGrpcAsyncIOTransport, "grpc_asyncio", grpc_helpers_async),
+])
+def test_metadata_service_client_client_options_credentials_file(client_class, transport_class, transport_name, grpc_helpers):
+    # Check the case credentials file is provided.
+    options = client_options.ClientOptions(
+        credentials_file="credentials.json"
+    )
+
+    with mock.patch.object(transport_class, '__init__') as patched:
+        patched.return_value = None
+        client = client_class(client_options=options, transport=transport_name)
+        patched.assert_called_once_with(
+            credentials=None,
+            credentials_file="credentials.json",
+            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
+            scopes=None,
+            client_cert_source_for_mtls=None,
+            quota_project_id=None,
+            client_info=transports.base.DEFAULT_CLIENT_INFO,
+            always_use_jwt_access=True,
+            api_audience=None,
+        )
+
+def test_metadata_service_client_client_options_from_dict():
+    with mock.patch('google.cloud.dataplex_v1.services.metadata_service.transports.MetadataServiceGrpcTransport.__init__') as grpc_transport:
+        grpc_transport.return_value = None
+        client = MetadataServiceClient(
+            client_options={'api_endpoint': 'squid.clam.whelk'}
+        )
+        grpc_transport.assert_called_once_with(
+            credentials=None,
+            credentials_file=None,
+            host="squid.clam.whelk",
+            scopes=None,
+            client_cert_source_for_mtls=None,
+            quota_project_id=None,
+            client_info=transports.base.DEFAULT_CLIENT_INFO,
+            always_use_jwt_access=True,
+            api_audience=None,
+        )
+
+
+@pytest.mark.parametrize("client_class,transport_class,transport_name,grpc_helpers", [
+    (MetadataServiceClient, transports.MetadataServiceGrpcTransport, "grpc", grpc_helpers),
+    (MetadataServiceAsyncClient, transports.MetadataServiceGrpcAsyncIOTransport, "grpc_asyncio", grpc_helpers_async),
+])
+def test_metadata_service_client_create_channel_credentials_file(client_class, transport_class, transport_name, grpc_helpers):
+    # Check the case credentials file is provided.
+    options = client_options.ClientOptions(
+        credentials_file="credentials.json"
+    )
+
+    with mock.patch.object(transport_class, '__init__') as patched:
+        patched.return_value = None
+        client = client_class(client_options=options, transport=transport_name)
+        patched.assert_called_once_with(
+            credentials=None,
+            credentials_file="credentials.json",
+            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
+            scopes=None,
+            client_cert_source_for_mtls=None,
+            quota_project_id=None,
+            client_info=transports.base.DEFAULT_CLIENT_INFO,
+            always_use_jwt_access=True,
+            api_audience=None,
+        )
+
+    # test that the credentials from file are saved and used as the credentials.
+    with mock.patch.object(
+        google.auth, "load_credentials_from_file", autospec=True
+    ) as load_creds, mock.patch.object(
+        google.auth, "default", autospec=True
+    ) as adc, mock.patch.object(
+        grpc_helpers, "create_channel"
+    ) as create_channel:
+        creds = ga_credentials.AnonymousCredentials()
+        file_creds = ga_credentials.AnonymousCredentials()
+        load_creds.return_value = (file_creds, None)
+        adc.return_value = (creds, None)
+        client = client_class(client_options=options, transport=transport_name)
+        create_channel.assert_called_with(
+            "dataplex.googleapis.com:443",
+            credentials=file_creds,
+            credentials_file=None,
+            quota_project_id=None,
+            default_scopes=(
+                'https://www.googleapis.com/auth/cloud-platform',
+),
+            scopes=None,
+            default_host="dataplex.googleapis.com",
+            ssl_credentials=None,
+            options=[
+                ("grpc.max_send_message_length", -1),
+                ("grpc.max_receive_message_length", -1),
+            ],
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  metadata_.CreateEntityRequest,
+  dict,
+])
+def test_create_entity(request_type, transport: str = 'grpc'):
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_entity),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = metadata_.Entity(
+            name='name_value',
+            display_name='display_name_value',
+            description='description_value',
+            id='id_value',
+            etag='etag_value',
+            type_=metadata_.Entity.Type.TABLE,
+            asset='asset_value',
+            data_path='data_path_value',
+            data_path_pattern='data_path_pattern_value',
+            catalog_entry='catalog_entry_value',
+            system=metadata_.StorageSystem.CLOUD_STORAGE,
+            uid='uid_value',
+        )
+        response = client.create_entity(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = metadata_.CreateEntityRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, metadata_.Entity)
+    assert response.name == 'name_value'
+    assert response.display_name == 'display_name_value'
+    assert response.description == 'description_value'
+    assert response.id == 'id_value'
+    assert response.etag == 'etag_value'
+    assert response.type_ == metadata_.Entity.Type.TABLE
+    assert response.asset == 'asset_value'
+    assert response.data_path == 'data_path_value'
+    assert response.data_path_pattern == 'data_path_pattern_value'
+    assert response.catalog_entry == 'catalog_entry_value'
+    assert response.system == metadata_.StorageSystem.CLOUD_STORAGE
+    assert response.uid == 'uid_value'
+
+
+def test_create_entity_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = metadata_.CreateEntityRequest(
+        parent='parent_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_entity),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.create_entity(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == metadata_.CreateEntityRequest(
+            parent='parent_value',
+        )
+
+def test_create_entity_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = MetadataServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.create_entity in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.create_entity] = mock_rpc
+        request = {}
+        client.create_entity(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.create_entity(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_create_entity_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = MetadataServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.create_entity in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.create_entity] = mock_rpc
+
+        request = {}
+        await client.create_entity(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.create_entity(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_create_entity_async(transport: str = 'grpc_asyncio', request_type=metadata_.CreateEntityRequest):
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_entity),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(metadata_.Entity(
+            name='name_value',
+            display_name='display_name_value',
+            description='description_value',
+            id='id_value',
+            etag='etag_value',
+            type_=metadata_.Entity.Type.TABLE,
+            asset='asset_value',
+            data_path='data_path_value',
+            data_path_pattern='data_path_pattern_value',
+            catalog_entry='catalog_entry_value',
+            system=metadata_.StorageSystem.CLOUD_STORAGE,
+            uid='uid_value',
+        ))
+        response = await client.create_entity(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = metadata_.CreateEntityRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, metadata_.Entity)
+    assert response.name == 'name_value'
+    assert response.display_name == 'display_name_value'
+    assert response.description == 'description_value'
+    assert response.id == 'id_value'
+    assert response.etag == 'etag_value'
+    assert response.type_ == metadata_.Entity.Type.TABLE
+    assert response.asset == 'asset_value'
+    assert response.data_path == 'data_path_value'
+    assert response.data_path_pattern == 'data_path_pattern_value'
+    assert response.catalog_entry == 'catalog_entry_value'
+    assert response.system == metadata_.StorageSystem.CLOUD_STORAGE
+    assert response.uid == 'uid_value'
+
+
+@pytest.mark.asyncio
+async def test_create_entity_async_from_dict():
+    await test_create_entity_async(request_type=dict)
+
+def test_create_entity_field_headers():
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = metadata_.CreateEntityRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_entity),
+            '__call__') as call:
+        call.return_value = metadata_.Entity()
+        client.create_entity(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_create_entity_field_headers_async():
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = metadata_.CreateEntityRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_entity),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(metadata_.Entity())
+        await client.create_entity(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+def test_create_entity_flattened():
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_entity),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = metadata_.Entity()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.create_entity(
+            parent='parent_value',
+            entity=metadata_.Entity(name='name_value'),
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+        arg = args[0].entity
+        mock_val = metadata_.Entity(name='name_value')
+        assert arg == mock_val
+
+
+def test_create_entity_flattened_error():
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.create_entity(
+            metadata_.CreateEntityRequest(),
+            parent='parent_value',
+            entity=metadata_.Entity(name='name_value'),
+        )
+
+@pytest.mark.asyncio
+async def test_create_entity_flattened_async():
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_entity),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = metadata_.Entity()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(metadata_.Entity())
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.create_entity(
+            parent='parent_value',
+            entity=metadata_.Entity(name='name_value'),
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+        arg = args[0].entity
+        mock_val = metadata_.Entity(name='name_value')
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_create_entity_flattened_error_async():
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.create_entity(
+            metadata_.CreateEntityRequest(),
+            parent='parent_value',
+            entity=metadata_.Entity(name='name_value'),
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  metadata_.UpdateEntityRequest,
+  dict,
+])
+def test_update_entity(request_type, transport: str = 'grpc'):
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_entity),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = metadata_.Entity(
+            name='name_value',
+            display_name='display_name_value',
+            description='description_value',
+            id='id_value',
+            etag='etag_value',
+            type_=metadata_.Entity.Type.TABLE,
+            asset='asset_value',
+            data_path='data_path_value',
+            data_path_pattern='data_path_pattern_value',
+            catalog_entry='catalog_entry_value',
+            system=metadata_.StorageSystem.CLOUD_STORAGE,
+            uid='uid_value',
+        )
+        response = client.update_entity(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = metadata_.UpdateEntityRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, metadata_.Entity)
+    assert response.name == 'name_value'
+    assert response.display_name == 'display_name_value'
+    assert response.description == 'description_value'
+    assert response.id == 'id_value'
+    assert response.etag == 'etag_value'
+    assert response.type_ == metadata_.Entity.Type.TABLE
+    assert response.asset == 'asset_value'
+    assert response.data_path == 'data_path_value'
+    assert response.data_path_pattern == 'data_path_pattern_value'
+    assert response.catalog_entry == 'catalog_entry_value'
+    assert response.system == metadata_.StorageSystem.CLOUD_STORAGE
+    assert response.uid == 'uid_value'
+
+
+def test_update_entity_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = metadata_.UpdateEntityRequest(
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_entity),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.update_entity(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == metadata_.UpdateEntityRequest(
+        )
+
+def test_update_entity_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = MetadataServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.update_entity in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.update_entity] = mock_rpc
+        request = {}
+        client.update_entity(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.update_entity(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_update_entity_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = MetadataServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.update_entity in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.update_entity] = mock_rpc
+
+        request = {}
+        await client.update_entity(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.update_entity(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_update_entity_async(transport: str = 'grpc_asyncio', request_type=metadata_.UpdateEntityRequest):
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_entity),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(metadata_.Entity(
+            name='name_value',
+            display_name='display_name_value',
+            description='description_value',
+            id='id_value',
+            etag='etag_value',
+            type_=metadata_.Entity.Type.TABLE,
+            asset='asset_value',
+            data_path='data_path_value',
+            data_path_pattern='data_path_pattern_value',
+            catalog_entry='catalog_entry_value',
+            system=metadata_.StorageSystem.CLOUD_STORAGE,
+            uid='uid_value',
+        ))
+        response = await client.update_entity(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = metadata_.UpdateEntityRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, metadata_.Entity)
+    assert response.name == 'name_value'
+    assert response.display_name == 'display_name_value'
+    assert response.description == 'description_value'
+    assert response.id == 'id_value'
+    assert response.etag == 'etag_value'
+    assert response.type_ == metadata_.Entity.Type.TABLE
+    assert response.asset == 'asset_value'
+    assert response.data_path == 'data_path_value'
+    assert response.data_path_pattern == 'data_path_pattern_value'
+    assert response.catalog_entry == 'catalog_entry_value'
+    assert response.system == metadata_.StorageSystem.CLOUD_STORAGE
+    assert response.uid == 'uid_value'
+
+
+@pytest.mark.asyncio
+async def test_update_entity_async_from_dict():
+    await test_update_entity_async(request_type=dict)
+
+def test_update_entity_field_headers():
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = metadata_.UpdateEntityRequest()
+
+    request.entity.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_entity),
+            '__call__') as call:
+        call.return_value = metadata_.Entity()
+        client.update_entity(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'entity.name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_update_entity_field_headers_async():
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = metadata_.UpdateEntityRequest()
+
+    request.entity.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_entity),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(metadata_.Entity())
+        await client.update_entity(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'entity.name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.parametrize("request_type", [
+  metadata_.DeleteEntityRequest,
+  dict,
+])
+def test_delete_entity(request_type, transport: str = 'grpc'):
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_entity),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = None
+        response = client.delete_entity(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = metadata_.DeleteEntityRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert response is None
+
+
+def test_delete_entity_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = metadata_.DeleteEntityRequest(
+        name='name_value',
+        etag='etag_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_entity),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.delete_entity(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == metadata_.DeleteEntityRequest(
+            name='name_value',
+            etag='etag_value',
+        )
+
+def test_delete_entity_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = MetadataServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.delete_entity in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.delete_entity] = mock_rpc
+        request = {}
+        client.delete_entity(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.delete_entity(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_delete_entity_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = MetadataServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.delete_entity in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.delete_entity] = mock_rpc
+
+        request = {}
+        await client.delete_entity(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.delete_entity(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_delete_entity_async(transport: str = 'grpc_asyncio', request_type=metadata_.DeleteEntityRequest):
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_entity),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
+        response = await client.delete_entity(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = metadata_.DeleteEntityRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert response is None
+
+
+@pytest.mark.asyncio
+async def test_delete_entity_async_from_dict():
+    await test_delete_entity_async(request_type=dict)
+
+def test_delete_entity_field_headers():
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = metadata_.DeleteEntityRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_entity),
+            '__call__') as call:
+        call.return_value = None
+        client.delete_entity(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_delete_entity_field_headers_async():
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = metadata_.DeleteEntityRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_entity),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
+        await client.delete_entity(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+def test_delete_entity_flattened():
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_entity),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = None
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.delete_entity(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+
+def test_delete_entity_flattened_error():
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.delete_entity(
+            metadata_.DeleteEntityRequest(),
+            name='name_value',
+        )
+
+@pytest.mark.asyncio
+async def test_delete_entity_flattened_async():
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_entity),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = None
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.delete_entity(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_delete_entity_flattened_error_async():
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.delete_entity(
+            metadata_.DeleteEntityRequest(),
+            name='name_value',
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  metadata_.GetEntityRequest,
+  dict,
+])
+def test_get_entity(request_type, transport: str = 'grpc'):
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_entity),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = metadata_.Entity(
+            name='name_value',
+            display_name='display_name_value',
+            description='description_value',
+            id='id_value',
+            etag='etag_value',
+            type_=metadata_.Entity.Type.TABLE,
+            asset='asset_value',
+            data_path='data_path_value',
+            data_path_pattern='data_path_pattern_value',
+            catalog_entry='catalog_entry_value',
+            system=metadata_.StorageSystem.CLOUD_STORAGE,
+            uid='uid_value',
+        )
+        response = client.get_entity(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = metadata_.GetEntityRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, metadata_.Entity)
+    assert response.name == 'name_value'
+    assert response.display_name == 'display_name_value'
+    assert response.description == 'description_value'
+    assert response.id == 'id_value'
+    assert response.etag == 'etag_value'
+    assert response.type_ == metadata_.Entity.Type.TABLE
+    assert response.asset == 'asset_value'
+    assert response.data_path == 'data_path_value'
+    assert response.data_path_pattern == 'data_path_pattern_value'
+    assert response.catalog_entry == 'catalog_entry_value'
+    assert response.system == metadata_.StorageSystem.CLOUD_STORAGE
+    assert response.uid == 'uid_value'
+
+
+def test_get_entity_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = metadata_.GetEntityRequest(
+        name='name_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_entity),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.get_entity(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == metadata_.GetEntityRequest(
+            name='name_value',
+        )
+
+def test_get_entity_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = MetadataServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.get_entity in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.get_entity] = mock_rpc
+        request = {}
+        client.get_entity(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.get_entity(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_get_entity_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = MetadataServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.get_entity in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.get_entity] = mock_rpc
+
+        request = {}
+        await client.get_entity(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.get_entity(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_get_entity_async(transport: str = 'grpc_asyncio', request_type=metadata_.GetEntityRequest):
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_entity),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(metadata_.Entity(
+            name='name_value',
+            display_name='display_name_value',
+            description='description_value',
+            id='id_value',
+            etag='etag_value',
+            type_=metadata_.Entity.Type.TABLE,
+            asset='asset_value',
+            data_path='data_path_value',
+            data_path_pattern='data_path_pattern_value',
+            catalog_entry='catalog_entry_value',
+            system=metadata_.StorageSystem.CLOUD_STORAGE,
+            uid='uid_value',
+        ))
+        response = await client.get_entity(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = metadata_.GetEntityRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, metadata_.Entity)
+    assert response.name == 'name_value'
+    assert response.display_name == 'display_name_value'
+    assert response.description == 'description_value'
+    assert response.id == 'id_value'
+    assert response.etag == 'etag_value'
+    assert response.type_ == metadata_.Entity.Type.TABLE
+    assert response.asset == 'asset_value'
+    assert response.data_path == 'data_path_value'
+    assert response.data_path_pattern == 'data_path_pattern_value'
+    assert response.catalog_entry == 'catalog_entry_value'
+    assert response.system == metadata_.StorageSystem.CLOUD_STORAGE
+    assert response.uid == 'uid_value'
+
+
+@pytest.mark.asyncio
+async def test_get_entity_async_from_dict():
+    await test_get_entity_async(request_type=dict)
+
+def test_get_entity_field_headers():
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = metadata_.GetEntityRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_entity),
+            '__call__') as call:
+        call.return_value = metadata_.Entity()
+        client.get_entity(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_get_entity_field_headers_async():
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = metadata_.GetEntityRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_entity),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(metadata_.Entity())
+        await client.get_entity(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+def test_get_entity_flattened():
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_entity),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = metadata_.Entity()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.get_entity(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+
+def test_get_entity_flattened_error():
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.get_entity(
+            metadata_.GetEntityRequest(),
+            name='name_value',
+        )
+
+@pytest.mark.asyncio
+async def test_get_entity_flattened_async():
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_entity),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = metadata_.Entity()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(metadata_.Entity())
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.get_entity(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_get_entity_flattened_error_async():
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.get_entity(
+            metadata_.GetEntityRequest(),
+            name='name_value',
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  metadata_.ListEntitiesRequest,
+  dict,
+])
+def test_list_entities(request_type, transport: str = 'grpc'):
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_entities),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = metadata_.ListEntitiesResponse(
+            next_page_token='next_page_token_value',
+        )
+        response = client.list_entities(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = metadata_.ListEntitiesRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, pagers.ListEntitiesPager)
+    assert response.next_page_token == 'next_page_token_value'
+
+
+def test_list_entities_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = metadata_.ListEntitiesRequest(
+        parent='parent_value',
+        page_token='page_token_value',
+        filter='filter_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_entities),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.list_entities(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == metadata_.ListEntitiesRequest(
+            parent='parent_value',
+            page_token='page_token_value',
+            filter='filter_value',
+        )
+
+def test_list_entities_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = MetadataServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.list_entities in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.list_entities] = mock_rpc
+        request = {}
+        client.list_entities(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.list_entities(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_list_entities_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = MetadataServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.list_entities in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.list_entities] = mock_rpc
+
+        request = {}
+        await client.list_entities(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.list_entities(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_list_entities_async(transport: str = 'grpc_asyncio', request_type=metadata_.ListEntitiesRequest):
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_entities),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(metadata_.ListEntitiesResponse(
+            next_page_token='next_page_token_value',
+        ))
+        response = await client.list_entities(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = metadata_.ListEntitiesRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, pagers.ListEntitiesAsyncPager)
+    assert response.next_page_token == 'next_page_token_value'
+
+
+@pytest.mark.asyncio
+async def test_list_entities_async_from_dict():
+    await test_list_entities_async(request_type=dict)
+
+def test_list_entities_field_headers():
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = metadata_.ListEntitiesRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_entities),
+            '__call__') as call:
+        call.return_value = metadata_.ListEntitiesResponse()
+        client.list_entities(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_list_entities_field_headers_async():
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = metadata_.ListEntitiesRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_entities),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(metadata_.ListEntitiesResponse())
+        await client.list_entities(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+def test_list_entities_flattened():
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_entities),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = metadata_.ListEntitiesResponse()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.list_entities(
+            parent='parent_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+
+
+def test_list_entities_flattened_error():
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.list_entities(
+            metadata_.ListEntitiesRequest(),
+            parent='parent_value',
+        )
+
+@pytest.mark.asyncio
+async def test_list_entities_flattened_async():
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_entities),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = metadata_.ListEntitiesResponse()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(metadata_.ListEntitiesResponse())
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.list_entities(
+            parent='parent_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_list_entities_flattened_error_async():
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.list_entities(
+            metadata_.ListEntitiesRequest(),
+            parent='parent_value',
+        )
+
+
+def test_list_entities_pager(transport_name: str = "grpc"):
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport_name,
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_entities),
+            '__call__') as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            metadata_.ListEntitiesResponse(
+                entities=[
+                    metadata_.Entity(),
+                    metadata_.Entity(),
+                    metadata_.Entity(),
+                ],
+                next_page_token='abc',
+            ),
+            metadata_.ListEntitiesResponse(
+                entities=[],
+                next_page_token='def',
+            ),
+            metadata_.ListEntitiesResponse(
+                entities=[
+                    metadata_.Entity(),
+                ],
+                next_page_token='ghi',
+            ),
+            metadata_.ListEntitiesResponse(
+                entities=[
+                    metadata_.Entity(),
+                    metadata_.Entity(),
+                ],
+            ),
+            RuntimeError,
+        )
+
+        expected_metadata = ()
+        retry = retries.Retry()
+        timeout = 5
+        expected_metadata = tuple(expected_metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ('parent', ''),
+            )),
+        )
+        pager = client.list_entities(request={}, retry=retry, timeout=timeout)
+
+        assert pager._metadata == expected_metadata
+        assert pager._retry == retry
+        assert pager._timeout == timeout
+
+        results = list(pager)
+        assert len(results) == 6
+        assert all(isinstance(i, metadata_.Entity)
+                   for i in results)
+def test_list_entities_pages(transport_name: str = "grpc"):
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport_name,
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_entities),
+            '__call__') as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            metadata_.ListEntitiesResponse(
+                entities=[
+                    metadata_.Entity(),
+                    metadata_.Entity(),
+                    metadata_.Entity(),
+                ],
+                next_page_token='abc',
+            ),
+            metadata_.ListEntitiesResponse(
+                entities=[],
+                next_page_token='def',
+            ),
+            metadata_.ListEntitiesResponse(
+                entities=[
+                    metadata_.Entity(),
+                ],
+                next_page_token='ghi',
+            ),
+            metadata_.ListEntitiesResponse(
+                entities=[
+                    metadata_.Entity(),
+                    metadata_.Entity(),
+                ],
+            ),
+            RuntimeError,
+        )
+        pages = list(client.list_entities(request={}).pages)
+        for page_, token in zip(pages, ['abc','def','ghi', '']):
+            assert page_.raw_page.next_page_token == token
+
+@pytest.mark.asyncio
+async def test_list_entities_async_pager():
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_entities),
+            '__call__', new_callable=mock.AsyncMock) as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            metadata_.ListEntitiesResponse(
+                entities=[
+                    metadata_.Entity(),
+                    metadata_.Entity(),
+                    metadata_.Entity(),
+                ],
+                next_page_token='abc',
+            ),
+            metadata_.ListEntitiesResponse(
+                entities=[],
+                next_page_token='def',
+            ),
+            metadata_.ListEntitiesResponse(
+                entities=[
+                    metadata_.Entity(),
+                ],
+                next_page_token='ghi',
+            ),
+            metadata_.ListEntitiesResponse(
+                entities=[
+                    metadata_.Entity(),
+                    metadata_.Entity(),
+                ],
+            ),
+            RuntimeError,
+        )
+        async_pager = await client.list_entities(request={},)
+        assert async_pager.next_page_token == 'abc'
+        responses = []
+        async for response in async_pager: # pragma: no branch
+            responses.append(response)
+
+        assert len(responses) == 6
+        assert all(isinstance(i, metadata_.Entity)
+                for i in responses)
+
+
+@pytest.mark.asyncio
+async def test_list_entities_async_pages():
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_entities),
+            '__call__', new_callable=mock.AsyncMock) as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            metadata_.ListEntitiesResponse(
+                entities=[
+                    metadata_.Entity(),
+                    metadata_.Entity(),
+                    metadata_.Entity(),
+                ],
+                next_page_token='abc',
+            ),
+            metadata_.ListEntitiesResponse(
+                entities=[],
+                next_page_token='def',
+            ),
+            metadata_.ListEntitiesResponse(
+                entities=[
+                    metadata_.Entity(),
+                ],
+                next_page_token='ghi',
+            ),
+            metadata_.ListEntitiesResponse(
+                entities=[
+                    metadata_.Entity(),
+                    metadata_.Entity(),
+                ],
+            ),
+            RuntimeError,
+        )
+        pages = []
+        # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch`
+        # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372
+        async for page_ in ( # pragma: no branch
+            await client.list_entities(request={})
+        ).pages:
+            pages.append(page_)
+        for page_, token in zip(pages, ['abc','def','ghi', '']):
+            assert page_.raw_page.next_page_token == token
+
+@pytest.mark.parametrize("request_type", [
+  metadata_.CreatePartitionRequest,
+  dict,
+])
+def test_create_partition(request_type, transport: str = 'grpc'):
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_partition),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = metadata_.Partition(
+            name='name_value',
+            values=['values_value'],
+            location='location_value',
+            etag='etag_value',
+        )
+        response = client.create_partition(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = metadata_.CreatePartitionRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, metadata_.Partition)
+    assert response.name == 'name_value'
+    assert response.values == ['values_value']
+    assert response.location == 'location_value'
+    assert response.etag == 'etag_value'
+
+
+def test_create_partition_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = metadata_.CreatePartitionRequest(
+        parent='parent_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_partition),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.create_partition(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == metadata_.CreatePartitionRequest(
+            parent='parent_value',
+        )
+
+def test_create_partition_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = MetadataServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.create_partition in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.create_partition] = mock_rpc
+        request = {}
+        client.create_partition(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.create_partition(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_create_partition_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = MetadataServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.create_partition in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.create_partition] = mock_rpc
+
+        request = {}
+        await client.create_partition(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.create_partition(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_create_partition_async(transport: str = 'grpc_asyncio', request_type=metadata_.CreatePartitionRequest):
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_partition),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(metadata_.Partition(
+            name='name_value',
+            values=['values_value'],
+            location='location_value',
+            etag='etag_value',
+        ))
+        response = await client.create_partition(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = metadata_.CreatePartitionRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, metadata_.Partition)
+    assert response.name == 'name_value'
+    assert response.values == ['values_value']
+    assert response.location == 'location_value'
+    assert response.etag == 'etag_value'
+
+
+@pytest.mark.asyncio
+async def test_create_partition_async_from_dict():
+    await test_create_partition_async(request_type=dict)
+
+def test_create_partition_field_headers():
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = metadata_.CreatePartitionRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_partition),
+            '__call__') as call:
+        call.return_value = metadata_.Partition()
+        client.create_partition(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_create_partition_field_headers_async():
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = metadata_.CreatePartitionRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_partition),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(metadata_.Partition())
+        await client.create_partition(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+def test_create_partition_flattened():
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_partition),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = metadata_.Partition()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.create_partition(
+            parent='parent_value',
+            partition=metadata_.Partition(name='name_value'),
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+        arg = args[0].partition
+        mock_val = metadata_.Partition(name='name_value')
+        assert arg == mock_val
+
+
+def test_create_partition_flattened_error():
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.create_partition(
+            metadata_.CreatePartitionRequest(),
+            parent='parent_value',
+            partition=metadata_.Partition(name='name_value'),
+        )
+
+@pytest.mark.asyncio
+async def test_create_partition_flattened_async():
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_partition),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = metadata_.Partition()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(metadata_.Partition())
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.create_partition(
+            parent='parent_value',
+            partition=metadata_.Partition(name='name_value'),
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+        arg = args[0].partition
+        mock_val = metadata_.Partition(name='name_value')
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_create_partition_flattened_error_async():
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.create_partition(
+            metadata_.CreatePartitionRequest(),
+            parent='parent_value',
+            partition=metadata_.Partition(name='name_value'),
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  metadata_.DeletePartitionRequest,
+  dict,
+])
+def test_delete_partition(request_type, transport: str = 'grpc'):
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_partition),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = None
+        response = client.delete_partition(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = metadata_.DeletePartitionRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert response is None
+
+
+def test_delete_partition_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = metadata_.DeletePartitionRequest(
+        name='name_value',
+        etag='etag_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_partition),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.delete_partition(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == metadata_.DeletePartitionRequest(
+            name='name_value',
+            etag='etag_value',
+        )
+
+def test_delete_partition_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = MetadataServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.delete_partition in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.delete_partition] = mock_rpc
+        request = {}
+        client.delete_partition(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.delete_partition(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_delete_partition_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = MetadataServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.delete_partition in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.delete_partition] = mock_rpc
+
+        request = {}
+        await client.delete_partition(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.delete_partition(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_delete_partition_async(transport: str = 'grpc_asyncio', request_type=metadata_.DeletePartitionRequest):
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_partition),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
+        response = await client.delete_partition(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = metadata_.DeletePartitionRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert response is None
+
+
+@pytest.mark.asyncio
+async def test_delete_partition_async_from_dict():
+    await test_delete_partition_async(request_type=dict)
+
+def test_delete_partition_field_headers():
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = metadata_.DeletePartitionRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_partition),
+            '__call__') as call:
+        call.return_value = None
+        client.delete_partition(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_delete_partition_field_headers_async():
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = metadata_.DeletePartitionRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_partition),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
+        await client.delete_partition(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+def test_delete_partition_flattened():
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_partition),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = None
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.delete_partition(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+
+def test_delete_partition_flattened_error():
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.delete_partition(
+            metadata_.DeletePartitionRequest(),
+            name='name_value',
+        )
+
+@pytest.mark.asyncio
+async def test_delete_partition_flattened_async():
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_partition),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = None
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.delete_partition(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_delete_partition_flattened_error_async():
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.delete_partition(
+            metadata_.DeletePartitionRequest(),
+            name='name_value',
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  metadata_.GetPartitionRequest,
+  dict,
+])
+def test_get_partition(request_type, transport: str = 'grpc'):
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_partition),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = metadata_.Partition(
+            name='name_value',
+            values=['values_value'],
+            location='location_value',
+            etag='etag_value',
+        )
+        response = client.get_partition(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = metadata_.GetPartitionRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, metadata_.Partition)
+    assert response.name == 'name_value'
+    assert response.values == ['values_value']
+    assert response.location == 'location_value'
+    assert response.etag == 'etag_value'
+
+
+def test_get_partition_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = metadata_.GetPartitionRequest(
+        name='name_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_partition),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.get_partition(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == metadata_.GetPartitionRequest(
+            name='name_value',
+        )
+
+def test_get_partition_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = MetadataServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.get_partition in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.get_partition] = mock_rpc
+        request = {}
+        client.get_partition(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.get_partition(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_get_partition_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = MetadataServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.get_partition in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.get_partition] = mock_rpc
+
+        request = {}
+        await client.get_partition(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.get_partition(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_get_partition_async(transport: str = 'grpc_asyncio', request_type=metadata_.GetPartitionRequest):
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_partition),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(metadata_.Partition(
+            name='name_value',
+            values=['values_value'],
+            location='location_value',
+            etag='etag_value',
+        ))
+        response = await client.get_partition(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = metadata_.GetPartitionRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, metadata_.Partition)
+    assert response.name == 'name_value'
+    assert response.values == ['values_value']
+    assert response.location == 'location_value'
+    assert response.etag == 'etag_value'
+
+
+@pytest.mark.asyncio
+async def test_get_partition_async_from_dict():
+    await test_get_partition_async(request_type=dict)
+
+def test_get_partition_field_headers():
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = metadata_.GetPartitionRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_partition),
+            '__call__') as call:
+        call.return_value = metadata_.Partition()
+        client.get_partition(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_get_partition_field_headers_async():
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = metadata_.GetPartitionRequest()
+
+    request.name = 'name_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_partition),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(metadata_.Partition())
+        await client.get_partition(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'name=name_value',
+    ) in kw['metadata']
+
+
+def test_get_partition_flattened():
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_partition),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = metadata_.Partition()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.get_partition(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+
+def test_get_partition_flattened_error():
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.get_partition(
+            metadata_.GetPartitionRequest(),
+            name='name_value',
+        )
+
+@pytest.mark.asyncio
+async def test_get_partition_flattened_async():
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_partition),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = metadata_.Partition()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(metadata_.Partition())
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.get_partition(
+            name='name_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = 'name_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_get_partition_flattened_error_async():
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.get_partition(
+            metadata_.GetPartitionRequest(),
+            name='name_value',
+        )
+
+
+@pytest.mark.parametrize("request_type", [
+  metadata_.ListPartitionsRequest,
+  dict,
+])
+def test_list_partitions(request_type, transport: str = 'grpc'):
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_partitions),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = metadata_.ListPartitionsResponse(
+            next_page_token='next_page_token_value',
+        )
+        response = client.list_partitions(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = metadata_.ListPartitionsRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, pagers.ListPartitionsPager)
+    assert response.next_page_token == 'next_page_token_value'
+
+
+def test_list_partitions_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport='grpc',
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = metadata_.ListPartitionsRequest(
+        parent='parent_value',
+        page_token='page_token_value',
+        filter='filter_value',
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_partitions),
+            '__call__') as call:
+        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client.list_partitions(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == metadata_.ListPartitionsRequest(
+            parent='parent_value',
+            page_token='page_token_value',
+            filter='filter_value',
+        )
+
+def test_list_partitions_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = MetadataServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.list_partitions in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
+        client._transport._wrapped_methods[client._transport.list_partitions] = mock_rpc
+        request = {}
+        client.list_partitions(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.list_partitions(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_list_partitions_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = MetadataServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._client._transport.list_partitions in client._client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[client._client._transport.list_partitions] = mock_rpc
+
+        request = {}
+        await client.list_partitions(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.list_partitions(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+@pytest.mark.asyncio
+async def test_list_partitions_async(transport: str = 'grpc_asyncio', request_type=metadata_.ListPartitionsRequest):
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_partitions),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(metadata_.ListPartitionsResponse(
+            next_page_token='next_page_token_value',
+        ))
+        response = await client.list_partitions(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = metadata_.ListPartitionsRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, pagers.ListPartitionsAsyncPager)
+    assert response.next_page_token == 'next_page_token_value'
+
+
+@pytest.mark.asyncio
+async def test_list_partitions_async_from_dict():
+    await test_list_partitions_async(request_type=dict)
+
+def test_list_partitions_field_headers():
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = metadata_.ListPartitionsRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_partitions),
+            '__call__') as call:
+        call.return_value = metadata_.ListPartitionsResponse()
+        client.list_partitions(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+@pytest.mark.asyncio
+async def test_list_partitions_field_headers_async():
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = metadata_.ListPartitionsRequest()
+
+    request.parent = 'parent_value'
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_partitions),
+            '__call__') as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(metadata_.ListPartitionsResponse())
+        await client.list_partitions(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        'x-goog-request-params',
+        'parent=parent_value',
+    ) in kw['metadata']
+
+
+def test_list_partitions_flattened():
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_partitions),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = metadata_.ListPartitionsResponse()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.list_partitions(
+            parent='parent_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+
+
+def test_list_partitions_flattened_error():
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.list_partitions(
+            metadata_.ListPartitionsRequest(),
+            parent='parent_value',
+        )
+
+@pytest.mark.asyncio
+async def test_list_partitions_flattened_async():
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_partitions),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = metadata_.ListPartitionsResponse()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(metadata_.ListPartitionsResponse())
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.list_partitions(
+            parent='parent_value',
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = 'parent_value'
+        assert arg == mock_val
+
+@pytest.mark.asyncio
+async def test_list_partitions_flattened_error_async():
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.list_partitions(
+            metadata_.ListPartitionsRequest(),
+            parent='parent_value',
+        )
+
+
+def test_list_partitions_pager(transport_name: str = "grpc"):
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport_name,
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_partitions),
+            '__call__') as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            metadata_.ListPartitionsResponse(
+                partitions=[
+                    metadata_.Partition(),
+                    metadata_.Partition(),
+                    metadata_.Partition(),
+                ],
+                next_page_token='abc',
+            ),
+            metadata_.ListPartitionsResponse(
+                partitions=[],
+                next_page_token='def',
+            ),
+            metadata_.ListPartitionsResponse(
+                partitions=[
+                    metadata_.Partition(),
+                ],
+                next_page_token='ghi',
+            ),
+            metadata_.ListPartitionsResponse(
+                partitions=[
+                    metadata_.Partition(),
+                    metadata_.Partition(),
+                ],
+            ),
+            RuntimeError,
+        )
+
+        expected_metadata = ()
+        retry = retries.Retry()
+        timeout = 5
+        expected_metadata = tuple(expected_metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((
+                ('parent', ''),
+            )),
+        )
+        pager = client.list_partitions(request={}, retry=retry, timeout=timeout)
+
+        assert pager._metadata == expected_metadata
+        assert pager._retry == retry
+        assert pager._timeout == timeout
+
+        results = list(pager)
+        assert len(results) == 6
+        assert all(isinstance(i, metadata_.Partition)
+                   for i in results)
+def test_list_partitions_pages(transport_name: str = "grpc"):
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport_name,
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_partitions),
+            '__call__') as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            metadata_.ListPartitionsResponse(
+                partitions=[
+                    metadata_.Partition(),
+                    metadata_.Partition(),
+                    metadata_.Partition(),
+                ],
+                next_page_token='abc',
+            ),
+            metadata_.ListPartitionsResponse(
+                partitions=[],
+                next_page_token='def',
+            ),
+            metadata_.ListPartitionsResponse(
+                partitions=[
+                    metadata_.Partition(),
+                ],
+                next_page_token='ghi',
+            ),
+            metadata_.ListPartitionsResponse(
+                partitions=[
+                    metadata_.Partition(),
+                    metadata_.Partition(),
+                ],
+            ),
+            RuntimeError,
+        )
+        pages = list(client.list_partitions(request={}).pages)
+        for page_, token in zip(pages, ['abc','def','ghi', '']):
+            assert page_.raw_page.next_page_token == token
+
+@pytest.mark.asyncio
+async def test_list_partitions_async_pager():
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_partitions),
+            '__call__', new_callable=mock.AsyncMock) as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            metadata_.ListPartitionsResponse(
+                partitions=[
+                    metadata_.Partition(),
+                    metadata_.Partition(),
+                    metadata_.Partition(),
+                ],
+                next_page_token='abc',
+            ),
+            metadata_.ListPartitionsResponse(
+                partitions=[],
+                next_page_token='def',
+            ),
+            metadata_.ListPartitionsResponse(
+                partitions=[
+                    metadata_.Partition(),
+                ],
+                next_page_token='ghi',
+            ),
+            metadata_.ListPartitionsResponse(
+                partitions=[
+                    metadata_.Partition(),
+                    metadata_.Partition(),
+                ],
+            ),
+            RuntimeError,
+        )
+        async_pager = await client.list_partitions(request={},)
+        assert async_pager.next_page_token == 'abc'
+        responses = []
+        async for response in async_pager: # pragma: no branch
+            responses.append(response)
+
+        assert len(responses) == 6
+        assert all(isinstance(i, metadata_.Partition)
+                for i in responses)
+
+
+@pytest.mark.asyncio
+async def test_list_partitions_async_pages():
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_partitions),
+            '__call__', new_callable=mock.AsyncMock) as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            metadata_.ListPartitionsResponse(
+                partitions=[
+                    metadata_.Partition(),
+                    metadata_.Partition(),
+                    metadata_.Partition(),
+                ],
+                next_page_token='abc',
+            ),
+            metadata_.ListPartitionsResponse(
+                partitions=[],
+                next_page_token='def',
+            ),
+            metadata_.ListPartitionsResponse(
+                partitions=[
+                    metadata_.Partition(),
+                ],
+                next_page_token='ghi',
+            ),
+            metadata_.ListPartitionsResponse(
+                partitions=[
+                    metadata_.Partition(),
+                    metadata_.Partition(),
+                ],
+            ),
+            RuntimeError,
+        )
+        pages = []
+        # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch`
+        # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372
+        async for page_ in ( # pragma: no branch
+            await client.list_partitions(request={})
+        ).pages:
+            pages.append(page_)
+        for page_, token in zip(pages, ['abc','def','ghi', '']):
+            assert page_.raw_page.next_page_token == token
+
+
+def test_credentials_transport_error():
+    # It is an error to provide credentials and a transport instance.
+    transport = transports.MetadataServiceGrpcTransport(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    with pytest.raises(ValueError):
+        client = MetadataServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport=transport,
+        )
+
+    # It is an error to provide a credentials file and a transport instance.
+    transport = transports.MetadataServiceGrpcTransport(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    with pytest.raises(ValueError):
+        client = MetadataServiceClient(
+            client_options={"credentials_file": "credentials.json"},
+            transport=transport,
+        )
+
+    # It is an error to provide an api_key and a transport instance.
+    transport = transports.MetadataServiceGrpcTransport(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    options = client_options.ClientOptions()
+    options.api_key = "api_key"
+    with pytest.raises(ValueError):
+        client = MetadataServiceClient(
+            client_options=options,
+            transport=transport,
+        )
+
+    # It is an error to provide an api_key and a credential.
+    options = client_options.ClientOptions()
+    options.api_key = "api_key"
+    with pytest.raises(ValueError):
+        client = MetadataServiceClient(
+            client_options=options,
+            credentials=ga_credentials.AnonymousCredentials()
+        )
+
+    # It is an error to provide scopes and a transport instance.
+    transport = transports.MetadataServiceGrpcTransport(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    with pytest.raises(ValueError):
+        client = MetadataServiceClient(
+            client_options={"scopes": ["1", "2"]},
+            transport=transport,
+        )
+
+
+def test_transport_instance():
+    # A client may be instantiated with a custom transport instance.
+    transport = transports.MetadataServiceGrpcTransport(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    client = MetadataServiceClient(transport=transport)
+    assert client.transport is transport
+
+def test_transport_get_channel():
+    # A client may be instantiated with a custom transport instance.
+    transport = transports.MetadataServiceGrpcTransport(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    channel = transport.grpc_channel
+    assert channel
+
+    transport = transports.MetadataServiceGrpcAsyncIOTransport(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    channel = transport.grpc_channel
+    assert channel
+
+@pytest.mark.parametrize("transport_class", [
+    transports.MetadataServiceGrpcTransport,
+    transports.MetadataServiceGrpcAsyncIOTransport,
+])
+def test_transport_adc(transport_class):
+    # Test default credentials are used if not provided.
+    with mock.patch.object(google.auth, 'default') as adc:
+        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
+        transport_class()
+        adc.assert_called_once()
+
+def test_transport_kind_grpc():
+    transport = MetadataServiceClient.get_transport_class("grpc")(
+        credentials=ga_credentials.AnonymousCredentials()
+    )
+    assert transport.kind == "grpc"
+
+
+def test_initialize_client_w_grpc():
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc"
+    )
+    assert client is not None
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_create_entity_empty_call_grpc():
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_entity),
+            '__call__') as call:
+        call.return_value = metadata_.Entity()
+        client.create_entity(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = metadata_.CreateEntityRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_update_entity_empty_call_grpc():
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_entity),
+            '__call__') as call:
+        call.return_value = metadata_.Entity()
+        client.update_entity(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = metadata_.UpdateEntityRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_delete_entity_empty_call_grpc():
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_entity),
+            '__call__') as call:
+        call.return_value = None
+        client.delete_entity(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = metadata_.DeleteEntityRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_get_entity_empty_call_grpc():
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_entity),
+            '__call__') as call:
+        call.return_value = metadata_.Entity()
+        client.get_entity(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = metadata_.GetEntityRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_list_entities_empty_call_grpc():
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_entities),
+            '__call__') as call:
+        call.return_value = metadata_.ListEntitiesResponse()
+        client.list_entities(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = metadata_.ListEntitiesRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_create_partition_empty_call_grpc():
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_partition),
+            '__call__') as call:
+        call.return_value = metadata_.Partition()
+        client.create_partition(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = metadata_.CreatePartitionRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_delete_partition_empty_call_grpc():
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_partition),
+            '__call__') as call:
+        call.return_value = None
+        client.delete_partition(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = metadata_.DeletePartitionRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_get_partition_empty_call_grpc():
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_partition),
+            '__call__') as call:
+        call.return_value = metadata_.Partition()
+        client.get_partition(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = metadata_.GetPartitionRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_list_partitions_empty_call_grpc():
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_partitions),
+            '__call__') as call:
+        call.return_value = metadata_.ListPartitionsResponse()
+        client.list_partitions(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = metadata_.ListPartitionsRequest()
+
+        assert args[0] == request_msg
+
+
+def test_transport_kind_grpc_asyncio():
+    transport = MetadataServiceAsyncClient.get_transport_class("grpc_asyncio")(
+        credentials=async_anonymous_credentials()
+    )
+    assert transport.kind == "grpc_asyncio"
+
+
+def test_initialize_client_w_grpc_asyncio():
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio"
+    )
+    assert client is not None
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_create_entity_empty_call_grpc_asyncio():
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_entity),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(metadata_.Entity(
+            name='name_value',
+            display_name='display_name_value',
+            description='description_value',
+            id='id_value',
+            etag='etag_value',
+            type_=metadata_.Entity.Type.TABLE,
+            asset='asset_value',
+            data_path='data_path_value',
+            data_path_pattern='data_path_pattern_value',
+            catalog_entry='catalog_entry_value',
+            system=metadata_.StorageSystem.CLOUD_STORAGE,
+            uid='uid_value',
+        ))
+        await client.create_entity(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = metadata_.CreateEntityRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_update_entity_empty_call_grpc_asyncio():
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.update_entity),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(metadata_.Entity(
+            name='name_value',
+            display_name='display_name_value',
+            description='description_value',
+            id='id_value',
+            etag='etag_value',
+            type_=metadata_.Entity.Type.TABLE,
+            asset='asset_value',
+            data_path='data_path_value',
+            data_path_pattern='data_path_pattern_value',
+            catalog_entry='catalog_entry_value',
+            system=metadata_.StorageSystem.CLOUD_STORAGE,
+            uid='uid_value',
+        ))
+        await client.update_entity(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = metadata_.UpdateEntityRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_delete_entity_empty_call_grpc_asyncio():
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_entity),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
+        await client.delete_entity(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = metadata_.DeleteEntityRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_get_entity_empty_call_grpc_asyncio():
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_entity),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(metadata_.Entity(
+            name='name_value',
+            display_name='display_name_value',
+            description='description_value',
+            id='id_value',
+            etag='etag_value',
+            type_=metadata_.Entity.Type.TABLE,
+            asset='asset_value',
+            data_path='data_path_value',
+            data_path_pattern='data_path_pattern_value',
+            catalog_entry='catalog_entry_value',
+            system=metadata_.StorageSystem.CLOUD_STORAGE,
+            uid='uid_value',
+        ))
+        await client.get_entity(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = metadata_.GetEntityRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_list_entities_empty_call_grpc_asyncio():
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_entities),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(metadata_.ListEntitiesResponse(
+            next_page_token='next_page_token_value',
+        ))
+        await client.list_entities(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = metadata_.ListEntitiesRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_create_partition_empty_call_grpc_asyncio():
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.create_partition),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(metadata_.Partition(
+            name='name_value',
+            values=['values_value'],
+            location='location_value',
+            etag='etag_value',
+        ))
+        await client.create_partition(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = metadata_.CreatePartitionRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_delete_partition_empty_call_grpc_asyncio():
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.delete_partition),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
+        await client.delete_partition(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = metadata_.DeletePartitionRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_get_partition_empty_call_grpc_asyncio():
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.get_partition),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(metadata_.Partition(
+            name='name_value',
+            values=['values_value'],
+            location='location_value',
+            etag='etag_value',
+        ))
+        await client.get_partition(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = metadata_.GetPartitionRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_list_partitions_empty_call_grpc_asyncio():
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+            type(client.transport.list_partitions),
+            '__call__') as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(metadata_.ListPartitionsResponse(
+            next_page_token='next_page_token_value',
+        ))
+        await client.list_partitions(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = metadata_.ListPartitionsRequest()
+
+        assert args[0] == request_msg
+
+
+def test_transport_grpc_default():
+    # A client should use the gRPC transport by default.
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    assert isinstance(
+        client.transport,
+        transports.MetadataServiceGrpcTransport,
+    )
+
+def test_metadata_service_base_transport_error():
+    # Passing both a credentials object and credentials_file should raise an error
+    with pytest.raises(core_exceptions.DuplicateCredentialArgs):
+        transport = transports.MetadataServiceTransport(
+            credentials=ga_credentials.AnonymousCredentials(),
+            credentials_file="credentials.json"
+        )
+
+
+def test_metadata_service_base_transport():
+    # Instantiate the base transport.
+    with mock.patch('google.cloud.dataplex_v1.services.metadata_service.transports.MetadataServiceTransport.__init__') as Transport:
+        Transport.return_value = None
+        transport = transports.MetadataServiceTransport(
+            credentials=ga_credentials.AnonymousCredentials(),
+        )
+
+    # Every method on the transport should just blindly
+    # raise NotImplementedError.
+    methods = (
+        'create_entity',
+        'update_entity',
+        'delete_entity',
+        'get_entity',
+        'list_entities',
+        'create_partition',
+        'delete_partition',
+        'get_partition',
+        'list_partitions',
+        'get_location',
+        'list_locations',
+        'get_operation',
+        'cancel_operation',
+        'delete_operation',
+        'list_operations',
+    )
+    for method in methods:
+        with pytest.raises(NotImplementedError):
+            getattr(transport, method)(request=object())
+
+    with pytest.raises(NotImplementedError):
+        transport.close()
+
+    # Catch all for all remaining methods and properties
+    remainder = [
+        'kind',
+    ]
+    for r in remainder:
+        with pytest.raises(NotImplementedError):
+            getattr(transport, r)()
+
+
+def test_metadata_service_base_transport_with_credentials_file():
+    # Instantiate the base transport with a credentials file
+    with mock.patch.object(google.auth, 'load_credentials_from_file', autospec=True) as load_creds, mock.patch('google.cloud.dataplex_v1.services.metadata_service.transports.MetadataServiceTransport._prep_wrapped_messages') as Transport:
+        Transport.return_value = None
+        load_creds.return_value = (ga_credentials.AnonymousCredentials(), None)
+        transport = transports.MetadataServiceTransport(
+            credentials_file="credentials.json",
+            quota_project_id="octopus",
+        )
+        load_creds.assert_called_once_with("credentials.json",
+            scopes=None,
+            default_scopes=(
+            'https://www.googleapis.com/auth/cloud-platform',
+),
+            quota_project_id="octopus",
+        )
+
+
+def test_metadata_service_base_transport_with_adc():
+    # Test the default credentials are used if credentials and credentials_file are None.
+    with mock.patch.object(google.auth, 'default', autospec=True) as adc, mock.patch('google.cloud.dataplex_v1.services.metadata_service.transports.MetadataServiceTransport._prep_wrapped_messages') as Transport:
+        Transport.return_value = None
+        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
+        transport = transports.MetadataServiceTransport()
+        adc.assert_called_once()
+
+
+def test_metadata_service_auth_adc():
+    # If no credentials are provided, we should use ADC credentials.
+    with mock.patch.object(google.auth, 'default', autospec=True) as adc:
+        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
+        MetadataServiceClient()
+        adc.assert_called_once_with(
+            scopes=None,
+            default_scopes=(
+            'https://www.googleapis.com/auth/cloud-platform',
+),
+            quota_project_id=None,
+        )
+
+
+@pytest.mark.parametrize(
+    "transport_class",
+    [
+        transports.MetadataServiceGrpcTransport,
+        transports.MetadataServiceGrpcAsyncIOTransport,
+    ],
+)
+def test_metadata_service_transport_auth_adc(transport_class):
+    # If credentials and host are not provided, the transport class should use
+    # ADC credentials.
+    with mock.patch.object(google.auth, 'default', autospec=True) as adc:
+        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
+        transport_class(quota_project_id="octopus", scopes=["1", "2"])
+        adc.assert_called_once_with(
+            scopes=["1", "2"],
+            default_scopes=(                'https://www.googleapis.com/auth/cloud-platform',),
+            quota_project_id="octopus",
+        )
+
+
+@pytest.mark.parametrize(
+    "transport_class",
+    [
+        transports.MetadataServiceGrpcTransport,
+        transports.MetadataServiceGrpcAsyncIOTransport,
+    ],
+)
+def test_metadata_service_transport_auth_gdch_credentials(transport_class):
+    host = 'https://language.com'
+    api_audience_tests = [None, 'https://language2.com']
+    api_audience_expect = [host, 'https://language2.com']
+    for t, e in zip(api_audience_tests, api_audience_expect):
+        with mock.patch.object(google.auth, 'default', autospec=True) as adc:
+            gdch_mock = mock.MagicMock()
+            type(gdch_mock).with_gdch_audience = mock.PropertyMock(return_value=gdch_mock)
+            adc.return_value = (gdch_mock, None)
+            transport_class(host=host, api_audience=t)
+            gdch_mock.with_gdch_audience.assert_called_once_with(
+                e
+            )
+
+
+@pytest.mark.parametrize(
+    "transport_class,grpc_helpers",
+    [
+        (transports.MetadataServiceGrpcTransport, grpc_helpers),
+        (transports.MetadataServiceGrpcAsyncIOTransport, grpc_helpers_async)
+    ],
+)
+def test_metadata_service_transport_create_channel(transport_class, grpc_helpers):
+    # If credentials and host are not provided, the transport class should use
+    # ADC credentials.
+    with mock.patch.object(google.auth, "default", autospec=True) as adc, mock.patch.object(
+        grpc_helpers, "create_channel", autospec=True
+    ) as create_channel:
+        creds = ga_credentials.AnonymousCredentials()
+        adc.return_value = (creds, None)
+        transport_class(
+            quota_project_id="octopus",
+            scopes=["1", "2"]
+        )
+
+        create_channel.assert_called_with(
+            "dataplex.googleapis.com:443",
+            credentials=creds,
+            credentials_file=None,
+            quota_project_id="octopus",
+            default_scopes=(
+                'https://www.googleapis.com/auth/cloud-platform',
+),
+            scopes=["1", "2"],
+            default_host="dataplex.googleapis.com",
+            ssl_credentials=None,
+            options=[
+                ("grpc.max_send_message_length", -1),
+                ("grpc.max_receive_message_length", -1),
+            ],
+        )
+
+
+@pytest.mark.parametrize("transport_class", [transports.MetadataServiceGrpcTransport, transports.MetadataServiceGrpcAsyncIOTransport])
+def test_metadata_service_grpc_transport_client_cert_source_for_mtls(
+    transport_class
+):
+    cred = ga_credentials.AnonymousCredentials()
+
+    # Check ssl_channel_credentials is used if provided.
+    with mock.patch.object(transport_class, "create_channel") as mock_create_channel:
+        mock_ssl_channel_creds = mock.Mock()
+        transport_class(
+            host="squid.clam.whelk",
+            credentials=cred,
+            ssl_channel_credentials=mock_ssl_channel_creds
+        )
+        mock_create_channel.assert_called_once_with(
+            "squid.clam.whelk:443",
+            credentials=cred,
+            credentials_file=None,
+            scopes=None,
+            ssl_credentials=mock_ssl_channel_creds,
+            quota_project_id=None,
+            options=[
+                ("grpc.max_send_message_length", -1),
+                ("grpc.max_receive_message_length", -1),
+            ],
+        )
+
+    # Check if ssl_channel_credentials is not provided, then client_cert_source_for_mtls
+    # is used.
+    with mock.patch.object(transport_class, "create_channel", return_value=mock.Mock()):
+        with mock.patch("grpc.ssl_channel_credentials") as mock_ssl_cred:
+            transport_class(
+                credentials=cred,
+                client_cert_source_for_mtls=client_cert_source_callback
+            )
+            expected_cert, expected_key = client_cert_source_callback()
+            mock_ssl_cred.assert_called_once_with(
+                certificate_chain=expected_cert,
+                private_key=expected_key
+            )
+
+
+@pytest.mark.parametrize("transport_name", [
+    "grpc",
+    "grpc_asyncio",
+])
+def test_metadata_service_host_no_port(transport_name):
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        client_options=client_options.ClientOptions(api_endpoint='dataplex.googleapis.com'),
+         transport=transport_name,
+    )
+    assert client.transport._host == (
+        'dataplex.googleapis.com:443'
+    )
+
+@pytest.mark.parametrize("transport_name", [
+    "grpc",
+    "grpc_asyncio",
+])
+def test_metadata_service_host_with_port(transport_name):
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        client_options=client_options.ClientOptions(api_endpoint='dataplex.googleapis.com:8000'),
+        transport=transport_name,
+    )
+    assert client.transport._host == (
+        'dataplex.googleapis.com:8000'
+    )
+
+def test_metadata_service_grpc_transport_channel():
+    channel = grpc.secure_channel('http://localhost/', grpc.local_channel_credentials())
+
+    # Check that channel is used if provided.
+    transport = transports.MetadataServiceGrpcTransport(
+        host="squid.clam.whelk",
+        channel=channel,
+    )
+    assert transport.grpc_channel == channel
+    assert transport._host == "squid.clam.whelk:443"
+    assert transport._ssl_channel_credentials == None
+
+
+def test_metadata_service_grpc_asyncio_transport_channel():
+    channel = aio.secure_channel('http://localhost/', grpc.local_channel_credentials())
+
+    # Check that channel is used if provided.
+    transport = transports.MetadataServiceGrpcAsyncIOTransport(
+        host="squid.clam.whelk",
+        channel=channel,
+    )
+    assert transport.grpc_channel == channel
+    assert transport._host == "squid.clam.whelk:443"
+    assert transport._ssl_channel_credentials == None
+
+
+# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are
+# removed from grpc/grpc_asyncio transport constructor.
+@pytest.mark.parametrize("transport_class", [transports.MetadataServiceGrpcTransport, transports.MetadataServiceGrpcAsyncIOTransport])
+def test_metadata_service_transport_channel_mtls_with_client_cert_source(
+    transport_class
+):
+    with mock.patch("grpc.ssl_channel_credentials", autospec=True) as grpc_ssl_channel_cred:
+        with mock.patch.object(transport_class, "create_channel") as grpc_create_channel:
+            mock_ssl_cred = mock.Mock()
+            grpc_ssl_channel_cred.return_value = mock_ssl_cred
+
+            mock_grpc_channel = mock.Mock()
+            grpc_create_channel.return_value = mock_grpc_channel
+
+            cred = ga_credentials.AnonymousCredentials()
+            with pytest.warns(DeprecationWarning):
+                with mock.patch.object(google.auth, 'default') as adc:
+                    adc.return_value = (cred, None)
+                    transport = transport_class(
+                        host="squid.clam.whelk",
+                        api_mtls_endpoint="mtls.squid.clam.whelk",
+                        client_cert_source=client_cert_source_callback,
+                    )
+                    adc.assert_called_once()
+
+            grpc_ssl_channel_cred.assert_called_once_with(
+                certificate_chain=b"cert bytes", private_key=b"key bytes"
+            )
+            grpc_create_channel.assert_called_once_with(
+                "mtls.squid.clam.whelk:443",
+                credentials=cred,
+                credentials_file=None,
+                scopes=None,
+                ssl_credentials=mock_ssl_cred,
+                quota_project_id=None,
+                options=[
+                    ("grpc.max_send_message_length", -1),
+                    ("grpc.max_receive_message_length", -1),
+                ],
+            )
+            assert transport.grpc_channel == mock_grpc_channel
+            assert transport._ssl_channel_credentials == mock_ssl_cred
+
+
+# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are
+# removed from grpc/grpc_asyncio transport constructor.
+@pytest.mark.parametrize("transport_class", [transports.MetadataServiceGrpcTransport, transports.MetadataServiceGrpcAsyncIOTransport])
+def test_metadata_service_transport_channel_mtls_with_adc(
+    transport_class
+):
+    mock_ssl_cred = mock.Mock()
+    with mock.patch.multiple(
+        "google.auth.transport.grpc.SslCredentials",
+        __init__=mock.Mock(return_value=None),
+        ssl_credentials=mock.PropertyMock(return_value=mock_ssl_cred),
+    ):
+        with mock.patch.object(transport_class, "create_channel") as grpc_create_channel:
+            mock_grpc_channel = mock.Mock()
+            grpc_create_channel.return_value = mock_grpc_channel
+            mock_cred = mock.Mock()
+
+            with pytest.warns(DeprecationWarning):
+                transport = transport_class(
+                    host="squid.clam.whelk",
+                    credentials=mock_cred,
+                    api_mtls_endpoint="mtls.squid.clam.whelk",
+                    client_cert_source=None,
+                )
+
+            grpc_create_channel.assert_called_once_with(
+                "mtls.squid.clam.whelk:443",
+                credentials=mock_cred,
+                credentials_file=None,
+                scopes=None,
+                ssl_credentials=mock_ssl_cred,
+                quota_project_id=None,
+                options=[
+                    ("grpc.max_send_message_length", -1),
+                    ("grpc.max_receive_message_length", -1),
+                ],
+            )
+            assert transport.grpc_channel == mock_grpc_channel
+
+
+def test_entity_path():
+    project = "squid"
+    location = "clam"
+    lake = "whelk"
+    zone = "octopus"
+    entity = "oyster"
+    expected = "projects/{project}/locations/{location}/lakes/{lake}/zones/{zone}/entities/{entity}".format(project=project, location=location, lake=lake, zone=zone, entity=entity, )
+    actual = MetadataServiceClient.entity_path(project, location, lake, zone, entity)
+    assert expected == actual
+
+
+def test_parse_entity_path():
+    expected = {
+        "project": "nudibranch",
+        "location": "cuttlefish",
+        "lake": "mussel",
+        "zone": "winkle",
+        "entity": "nautilus",
+    }
+    path = MetadataServiceClient.entity_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = MetadataServiceClient.parse_entity_path(path)
+    assert expected == actual
+
+def test_partition_path():
+    project = "scallop"
+    location = "abalone"
+    lake = "squid"
+    zone = "clam"
+    entity = "whelk"
+    partition = "octopus"
+    expected = "projects/{project}/locations/{location}/lakes/{lake}/zones/{zone}/entities/{entity}/partitions/{partition}".format(project=project, location=location, lake=lake, zone=zone, entity=entity, partition=partition, )
+    actual = MetadataServiceClient.partition_path(project, location, lake, zone, entity, partition)
+    assert expected == actual
+
+
+def test_parse_partition_path():
+    expected = {
+        "project": "oyster",
+        "location": "nudibranch",
+        "lake": "cuttlefish",
+        "zone": "mussel",
+        "entity": "winkle",
+        "partition": "nautilus",
+    }
+    path = MetadataServiceClient.partition_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = MetadataServiceClient.parse_partition_path(path)
+    assert expected == actual
+
+def test_zone_path():
+    project = "scallop"
+    location = "abalone"
+    lake = "squid"
+    zone = "clam"
+    expected = "projects/{project}/locations/{location}/lakes/{lake}/zones/{zone}".format(project=project, location=location, lake=lake, zone=zone, )
+    actual = MetadataServiceClient.zone_path(project, location, lake, zone)
+    assert expected == actual
+
+
+def test_parse_zone_path():
+    expected = {
+        "project": "whelk",
+        "location": "octopus",
+        "lake": "oyster",
+        "zone": "nudibranch",
+    }
+    path = MetadataServiceClient.zone_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = MetadataServiceClient.parse_zone_path(path)
+    assert expected == actual
+
+def test_common_billing_account_path():
+    billing_account = "cuttlefish"
+    expected = "billingAccounts/{billing_account}".format(billing_account=billing_account, )
+    actual = MetadataServiceClient.common_billing_account_path(billing_account)
+    assert expected == actual
+
+
+def test_parse_common_billing_account_path():
+    expected = {
+        "billing_account": "mussel",
+    }
+    path = MetadataServiceClient.common_billing_account_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = MetadataServiceClient.parse_common_billing_account_path(path)
+    assert expected == actual
+
+def test_common_folder_path():
+    folder = "winkle"
+    expected = "folders/{folder}".format(folder=folder, )
+    actual = MetadataServiceClient.common_folder_path(folder)
+    assert expected == actual
+
+
+def test_parse_common_folder_path():
+    expected = {
+        "folder": "nautilus",
+    }
+    path = MetadataServiceClient.common_folder_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = MetadataServiceClient.parse_common_folder_path(path)
+    assert expected == actual
+
+def test_common_organization_path():
+    organization = "scallop"
+    expected = "organizations/{organization}".format(organization=organization, )
+    actual = MetadataServiceClient.common_organization_path(organization)
+    assert expected == actual
+
+
+def test_parse_common_organization_path():
+    expected = {
+        "organization": "abalone",
+    }
+    path = MetadataServiceClient.common_organization_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = MetadataServiceClient.parse_common_organization_path(path)
+    assert expected == actual
+
+def test_common_project_path():
+    project = "squid"
+    expected = "projects/{project}".format(project=project, )
+    actual = MetadataServiceClient.common_project_path(project)
+    assert expected == actual
+
+
+def test_parse_common_project_path():
+    expected = {
+        "project": "clam",
+    }
+    path = MetadataServiceClient.common_project_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = MetadataServiceClient.parse_common_project_path(path)
+    assert expected == actual
+
+def test_common_location_path():
+    project = "whelk"
+    location = "octopus"
+    expected = "projects/{project}/locations/{location}".format(project=project, location=location, )
+    actual = MetadataServiceClient.common_location_path(project, location)
+    assert expected == actual
+
+
+def test_parse_common_location_path():
+    expected = {
+        "project": "oyster",
+        "location": "nudibranch",
+    }
+    path = MetadataServiceClient.common_location_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = MetadataServiceClient.parse_common_location_path(path)
+    assert expected == actual
+
+
+def test_client_with_default_client_info():
+    client_info = gapic_v1.client_info.ClientInfo()
+
+    with mock.patch.object(transports.MetadataServiceTransport, '_prep_wrapped_messages') as prep:
+        client = MetadataServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            client_info=client_info,
+        )
+        prep.assert_called_once_with(client_info)
+
+    with mock.patch.object(transports.MetadataServiceTransport, '_prep_wrapped_messages') as prep:
+        transport_class = MetadataServiceClient.get_transport_class()
+        transport = transport_class(
+            credentials=ga_credentials.AnonymousCredentials(),
+            client_info=client_info,
+        )
+        prep.assert_called_once_with(client_info)
+
+
+def test_delete_operation(transport: str = "grpc"):
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.DeleteOperationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = None
+        response = client.delete_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert response is None
+@pytest.mark.asyncio
+async def test_delete_operation_async(transport: str = "grpc_asyncio"):
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.DeleteOperationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            None
+        )
+        response = await client.delete_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert response is None
+
+def test_delete_operation_field_headers():
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.DeleteOperationRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
+        call.return_value =  None
+
+        client.delete_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+@pytest.mark.asyncio
+async def test_delete_operation_field_headers_async():
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.DeleteOperationRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            None
+        )
+        await client.delete_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+
+def test_delete_operation_from_dict():
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = None
+
+        response = client.delete_operation(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+@pytest.mark.asyncio
+async def test_delete_operation_from_dict_async():
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            None
+        )
+        response = await client.delete_operation(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+
+
+def test_cancel_operation(transport: str = "grpc"):
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.CancelOperationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = None
+        response = client.cancel_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert response is None
+@pytest.mark.asyncio
+async def test_cancel_operation_async(transport: str = "grpc_asyncio"):
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.CancelOperationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            None
+        )
+        response = await client.cancel_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert response is None
+
+def test_cancel_operation_field_headers():
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.CancelOperationRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
+        call.return_value =  None
+
+        client.cancel_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+@pytest.mark.asyncio
+async def test_cancel_operation_field_headers_async():
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.CancelOperationRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            None
+        )
+        await client.cancel_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+
+def test_cancel_operation_from_dict():
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = None
+
+        response = client.cancel_operation(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+@pytest.mark.asyncio
+async def test_cancel_operation_from_dict_async():
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            None
+        )
+        response = await client.cancel_operation(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+
+
+def test_get_operation(transport: str = "grpc"):
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.GetOperationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation()
+        response = client.get_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, operations_pb2.Operation)
+@pytest.mark.asyncio
+async def test_get_operation_async(transport: str = "grpc_asyncio"):
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.GetOperationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation()
+        )
+        response = await client.get_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, operations_pb2.Operation)
+
+def test_get_operation_field_headers():
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.GetOperationRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
+        call.return_value = operations_pb2.Operation()
+
+        client.get_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+@pytest.mark.asyncio
+async def test_get_operation_field_headers_async():
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.GetOperationRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation()
+        )
+        await client.get_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+
+def test_get_operation_from_dict():
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation()
+
+        response = client.get_operation(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+@pytest.mark.asyncio
+async def test_get_operation_from_dict_async():
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation()
+        )
+        response = await client.get_operation(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+
+
+def test_list_operations(transport: str = "grpc"):
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.ListOperationsRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.ListOperationsResponse()
+        response = client.list_operations(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, operations_pb2.ListOperationsResponse)
+@pytest.mark.asyncio
+async def test_list_operations_async(transport: str = "grpc_asyncio"):
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.ListOperationsRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.ListOperationsResponse()
+        )
+        response = await client.list_operations(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, operations_pb2.ListOperationsResponse)
+
+def test_list_operations_field_headers():
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.ListOperationsRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
+        call.return_value = operations_pb2.ListOperationsResponse()
+
+        client.list_operations(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+@pytest.mark.asyncio
+async def test_list_operations_field_headers_async():
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.ListOperationsRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.ListOperationsResponse()
+        )
+        await client.list_operations(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+
+def test_list_operations_from_dict():
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.ListOperationsResponse()
+
+        response = client.list_operations(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+@pytest.mark.asyncio
+async def test_list_operations_from_dict_async():
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.ListOperationsResponse()
+        )
+        response = await client.list_operations(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+
+
+def test_list_locations(transport: str = "grpc"):
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = locations_pb2.ListLocationsRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = locations_pb2.ListLocationsResponse()
+        response = client.list_locations(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, locations_pb2.ListLocationsResponse)
+@pytest.mark.asyncio
+async def test_list_locations_async(transport: str = "grpc_asyncio"):
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = locations_pb2.ListLocationsRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            locations_pb2.ListLocationsResponse()
+        )
+        response = await client.list_locations(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, locations_pb2.ListLocationsResponse)
+
+def test_list_locations_field_headers():
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = locations_pb2.ListLocationsRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
+        call.return_value = locations_pb2.ListLocationsResponse()
+
+        client.list_locations(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+@pytest.mark.asyncio
+async def test_list_locations_field_headers_async():
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = locations_pb2.ListLocationsRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            locations_pb2.ListLocationsResponse()
+        )
+        await client.list_locations(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
+
+def test_list_locations_from_dict():
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = locations_pb2.ListLocationsResponse()
+
+        response = client.list_locations(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+@pytest.mark.asyncio
+async def test_list_locations_from_dict_async():
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            locations_pb2.ListLocationsResponse()
+        )
+        response = await client.list_locations(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+
+
+def test_get_location(transport: str = "grpc"):
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = locations_pb2.GetLocationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_location), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = locations_pb2.Location()
+        response = client.get_location(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, locations_pb2.Location)
+@pytest.mark.asyncio
+async def test_get_location_async(transport: str = "grpc_asyncio"):
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(), transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = locations_pb2.GetLocationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_location), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            locations_pb2.Location()
+        )
+        response = await client.get_location(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, locations_pb2.Location)
+
+def test_get_location_field_headers():
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials())
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = locations_pb2.GetLocationRequest()
+    request.name = "locations/abc"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_location), "__call__") as call:
+        call.return_value = locations_pb2.Location()
+
+        client.get_location(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations/abc",) in kw["metadata"]
+@pytest.mark.asyncio
+async def test_get_location_field_headers_async():
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials()
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = locations_pb2.GetLocationRequest()
+    request.name = "locations/abc"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_location), "__call__") as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            locations_pb2.Location()
+        )
+        await client.get_location(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert ("x-goog-request-params", "name=locations/abc",) in kw["metadata"]
+
+def test_get_location_from_dict():
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = locations_pb2.Location()
+
+        response = client.get_location(
+            request={
+                "name": "locations/abc",
+            }
+        )
+        call.assert_called()
+@pytest.mark.asyncio
+async def test_get_location_from_dict_async():
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            locations_pb2.Location()
+        )
+        response = await client.get_location(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+
+
+def test_transport_close_grpc():
+    client = MetadataServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc"
+    )
+    with mock.patch.object(type(getattr(client.transport, "_grpc_channel")), "close") as close:
+        with client:
+            close.assert_not_called()
+        close.assert_called_once()
+
+
+@pytest.mark.asyncio
+async def test_transport_close_grpc_asyncio():
+    client = MetadataServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio"
+    )
+    with mock.patch.object(type(getattr(client.transport, "_grpc_channel")), "close") as close:
+        async with client:
+            close.assert_not_called()
+        close.assert_called_once()
+
+
+def test_client_ctx():
+    transports = [
+        'grpc',
+    ]
+    for transport in transports:
+        client = MetadataServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport=transport
+        )
+        # Test client calls underlying transport.
+        with mock.patch.object(type(client.transport), "close") as close:
+            close.assert_not_called()
+            with client:
+                pass
+            close.assert_called()
+
+@pytest.mark.parametrize("client_class,transport_class", [
+    (MetadataServiceClient, transports.MetadataServiceGrpcTransport),
+    (MetadataServiceAsyncClient, transports.MetadataServiceGrpcAsyncIOTransport),
+])
+def test_api_key_credentials(client_class, transport_class):
+    with mock.patch.object(
+        google.auth._default, "get_api_key_credentials", create=True
+    ) as get_api_key_credentials:
+        mock_cred = mock.Mock()
+        get_api_key_credentials.return_value = mock_cred
+        options = client_options.ClientOptions()
+        options.api_key = "api_key"
+        with mock.patch.object(transport_class, "__init__") as patched:
+            patched.return_value = None
+            client = client_class(client_options=options)
+            patched.assert_called_once_with(
+                credentials=mock_cred,
+                credentials_file=None,
+                host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
+                scopes=None,
+                client_cert_source_for_mtls=None,
+                quota_project_id=None,
+                client_info=transports.base.DEFAULT_CLIENT_INFO,
+                always_use_jwt_access=True,
+                api_audience=None,
+            )

From d1cb32f786bc7f462f1b0f3bc0049e7f33713675 Mon Sep 17 00:00:00 2001
From: Anthonios Partheniou <partheniou@google.com>
Date: Fri, 15 Nov 2024 17:08:36 +0000
Subject: [PATCH 2/3] update replacement for google-cloud-dataplex

---
 .../client-post-processing/doc-formatting.yaml   | 16 ++--------------
 1 file changed, 2 insertions(+), 14 deletions(-)

diff --git a/scripts/client-post-processing/doc-formatting.yaml b/scripts/client-post-processing/doc-formatting.yaml
index 71b2ebb536c2..effa34a100d7 100644
--- a/scripts/client-post-processing/doc-formatting.yaml
+++ b/scripts/client-post-processing/doc-formatting.yaml
@@ -223,20 +223,8 @@ replacements:
   - paths: [
       packages/google-cloud-dataplex/google/cloud/dataplex_v1/types/catalog.py,
     ]
-    before: |
-      :
-      \            \"entry_source.display_name=AnExampleDisplayName\"
-      \            \"entry_type=projects\/example-project\/locations\/global\/entryTypes\/example-entry_type\"
-      \            \"entry_type=projects\/example-project\/locations\/us\/entryTypes\/a\*
-      \            OR entry_type=projects\/another-project\/locations\/\*\" \"NOT
-      \            entry_source.display_name=AnotherExampleDisplayName\".
-    after: |
-      :
-                  `entry_source.display_name=AnExampleDisplayName`
-                  `entry_type=projects/example-project/locations/global/entryTypes/example-entry_type`
-                  `entry_type=projects/example-project/locations/us/entryTypes/a*
-                  OR entry_type=projects/another-project/locations/*` `NOT
-                  entry_source.display_name=AnotherExampleDisplayName`.
+    before: entry_type=projects\/another-project\/locations\/\*
+    after: "entry_type=projects/another-project/locations/\\*"
     count: 1
   - paths: [
       packages/google-cloud-deploy/google/cloud/deploy_v1/types/cloud_deploy.py,

From 3e4ed2ebc2511e7fa3b973408e0e24a980b34fa0 Mon Sep 17 00:00:00 2001
From: Owl Bot <gcf-owl-bot[bot]@users.noreply.github.com>
Date: Fri, 15 Nov 2024 17:12:49 +0000
Subject: [PATCH 3/3] =?UTF-8?q?=F0=9F=A6=89=20Updates=20from=20OwlBot=20po?=
 =?UTF-8?q?st-processor?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

See https://github.com/googleapis/repo-automation-bots/blob/main/packages/owl-bot/README.md
---
 .../google-cloud-dataplex/v1/.coveragerc      |    13 -
 .../google-cloud-dataplex/v1/.flake8          |    33 -
 .../google-cloud-dataplex/v1/MANIFEST.in      |     2 -
 .../google-cloud-dataplex/v1/README.rst       |    49 -
 .../v1/docs/_static/custom.css                |     3 -
 .../google-cloud-dataplex/v1/docs/conf.py     |   376 -
 .../v1/docs/dataplex_v1/catalog_service.rst   |    10 -
 .../v1/docs/dataplex_v1/content_service.rst   |    10 -
 .../v1/docs/dataplex_v1/data_scan_service.rst |    10 -
 .../dataplex_v1/data_taxonomy_service.rst     |    10 -
 .../v1/docs/dataplex_v1/dataplex_service.rst  |    10 -
 .../v1/docs/dataplex_v1/metadata_service.rst  |    10 -
 .../v1/docs/dataplex_v1/services_.rst         |    11 -
 .../v1/docs/dataplex_v1/types_.rst            |     6 -
 .../google-cloud-dataplex/v1/docs/index.rst   |     7 -
 .../v1/google/cloud/dataplex/__init__.py      |   407 -
 .../v1/google/cloud/dataplex/gapic_version.py |    16 -
 .../v1/google/cloud/dataplex/py.typed         |     2 -
 .../v1/google/cloud/dataplex_v1/__init__.py   |   408 -
 .../cloud/dataplex_v1/gapic_metadata.json     |  1093 -
 .../google/cloud/dataplex_v1/gapic_version.py |    16 -
 .../v1/google/cloud/dataplex_v1/py.typed      |     2 -
 .../cloud/dataplex_v1/services/__init__.py    |    15 -
 .../services/catalog_service/__init__.py      |    22 -
 .../services/catalog_service/async_client.py  |  3652 ----
 .../services/catalog_service/client.py        |  3986 ----
 .../services/catalog_service/pagers.py        |   837 -
 .../catalog_service/transports/README.rst     |     9 -
 .../catalog_service/transports/__init__.py    |    33 -
 .../catalog_service/transports/base.py        |   707 -
 .../catalog_service/transports/grpc.py        |  1076 -
 .../transports/grpc_asyncio.py                |  1362 --
 .../services/content_service/__init__.py      |    22 -
 .../services/content_service/async_client.py  |  1435 --
 .../services/content_service/client.py        |  1767 --
 .../services/content_service/pagers.py        |   163 -
 .../content_service/transports/README.rst     |     9 -
 .../content_service/transports/__init__.py    |    33 -
 .../content_service/transports/base.py        |   377 -
 .../content_service/transports/grpc.py        |   587 -
 .../transports/grpc_asyncio.py                |   709 -
 .../services/data_scan_service/__init__.py    |    22 -
 .../data_scan_service/async_client.py         |  1665 --
 .../services/data_scan_service/client.py      |  2015 --
 .../services/data_scan_service/pagers.py      |   297 -
 .../data_scan_service/transports/README.rst   |     9 -
 .../data_scan_service/transports/__init__.py  |    33 -
 .../data_scan_service/transports/base.py      |   358 -
 .../data_scan_service/transports/grpc.py      |   615 -
 .../transports/grpc_asyncio.py                |   706 -
 .../data_taxonomy_service/__init__.py         |    22 -
 .../data_taxonomy_service/async_client.py     |  2420 ---
 .../services/data_taxonomy_service/client.py  |  2746 ---
 .../services/data_taxonomy_service/pagers.py  |   432 -
 .../transports/README.rst                     |     9 -
 .../transports/__init__.py                    |    33 -
 .../data_taxonomy_service/transports/base.py  |   443 -
 .../data_taxonomy_service/transports/grpc.py  |   773 -
 .../transports/grpc_asyncio.py                |   894 -
 .../services/dataplex_service/__init__.py     |    22 -
 .../services/dataplex_service/async_client.py |  4580 -----
 .../services/dataplex_service/client.py       |  4933 -----
 .../services/dataplex_service/pagers.py       |  1380 --
 .../dataplex_service/transports/README.rst    |     9 -
 .../dataplex_service/transports/__init__.py   |    33 -
 .../dataplex_service/transports/base.py       |   833 -
 .../dataplex_service/transports/grpc.py       |  1247 --
 .../transports/grpc_asyncio.py                |  1593 --
 .../services/metadata_service/__init__.py     |    22 -
 .../services/metadata_service/async_client.py |  1507 --
 .../services/metadata_service/client.py       |  1840 --
 .../services/metadata_service/pagers.py       |   297 -
 .../metadata_service/transports/README.rst    |     9 -
 .../metadata_service/transports/__init__.py   |    33 -
 .../metadata_service/transports/base.py       |   389 -
 .../metadata_service/transports/grpc.py       |   593 -
 .../transports/grpc_asyncio.py                |   720 -
 .../cloud/dataplex_v1/types/__init__.py       |   408 -
 .../google/cloud/dataplex_v1/types/analyze.py |   491 -
 .../google/cloud/dataplex_v1/types/catalog.py |  2630 ---
 .../google/cloud/dataplex_v1/types/content.py |   227 -
 .../cloud/dataplex_v1/types/data_profile.py   |   540 -
 .../cloud/dataplex_v1/types/data_quality.py   |   912 -
 .../cloud/dataplex_v1/types/data_taxonomy.py  |   976 -
 .../cloud/dataplex_v1/types/datascans.py      |   905 -
 .../v1/google/cloud/dataplex_v1/types/logs.py |  1352 --
 .../cloud/dataplex_v1/types/metadata_.py      |  1182 --
 .../cloud/dataplex_v1/types/processing.py     |   186 -
 .../cloud/dataplex_v1/types/resources.py      |  1444 --
 .../cloud/dataplex_v1/types/security.py       |    90 -
 .../google/cloud/dataplex_v1/types/service.py |  1395 --
 .../google/cloud/dataplex_v1/types/tasks.py   |   751 -
 .../google-cloud-dataplex/v1/mypy.ini         |     3 -
 .../google-cloud-dataplex/v1/noxfile.py       |   280 -
 ...atalog_service_create_aspect_type_async.py |    62 -
 ...catalog_service_create_aspect_type_sync.py |    62 -
 ...ated_catalog_service_create_entry_async.py |    57 -
 ...atalog_service_create_entry_group_async.py |    57 -
 ...catalog_service_create_entry_group_sync.py |    57 -
 ...rated_catalog_service_create_entry_sync.py |    57 -
 ...catalog_service_create_entry_type_async.py |    57 -
 ..._catalog_service_create_entry_type_sync.py |    57 -
 ...atalog_service_delete_aspect_type_async.py |    56 -
 ...catalog_service_delete_aspect_type_sync.py |    56 -
 ...ated_catalog_service_delete_entry_async.py |    52 -
 ...atalog_service_delete_entry_group_async.py |    56 -
 ...catalog_service_delete_entry_group_sync.py |    56 -
 ...rated_catalog_service_delete_entry_sync.py |    52 -
 ...catalog_service_delete_entry_type_async.py |    56 -
 ..._catalog_service_delete_entry_type_sync.py |    56 -
 ...d_catalog_service_get_aspect_type_async.py |    52 -
 ...ed_catalog_service_get_aspect_type_sync.py |    52 -
 ...nerated_catalog_service_get_entry_async.py |    52 -
 ...d_catalog_service_get_entry_group_async.py |    52 -
 ...ed_catalog_service_get_entry_group_sync.py |    52 -
 ...enerated_catalog_service_get_entry_sync.py |    52 -
 ...ed_catalog_service_get_entry_type_async.py |    52 -
 ...ted_catalog_service_get_entry_type_sync.py |    52 -
 ...catalog_service_list_aspect_types_async.py |    53 -
 ..._catalog_service_list_aspect_types_sync.py |    53 -
 ...ated_catalog_service_list_entries_async.py |    53 -
 ...rated_catalog_service_list_entries_sync.py |    53 -
 ...catalog_service_list_entry_groups_async.py |    53 -
 ..._catalog_service_list_entry_groups_sync.py |    53 -
 ..._catalog_service_list_entry_types_async.py |    53 -
 ...d_catalog_service_list_entry_types_sync.py |    53 -
 ...ated_catalog_service_lookup_entry_async.py |    53 -
 ...rated_catalog_service_lookup_entry_sync.py |    53 -
 ...ed_catalog_service_search_entries_async.py |    54 -
 ...ted_catalog_service_search_entries_sync.py |    54 -
 ...atalog_service_update_aspect_type_async.py |    60 -
 ...catalog_service_update_aspect_type_sync.py |    60 -
 ...ated_catalog_service_update_entry_async.py |    55 -
 ...atalog_service_update_entry_group_async.py |    55 -
 ...catalog_service_update_entry_group_sync.py |    55 -
 ...rated_catalog_service_update_entry_sync.py |    55 -
 ...catalog_service_update_entry_type_async.py |    55 -
 ..._catalog_service_update_entry_type_sync.py |    55 -
 ...ed_content_service_create_content_async.py |    58 -
 ...ted_content_service_create_content_sync.py |    58 -
 ...ed_content_service_delete_content_async.py |    50 -
 ...ted_content_service_delete_content_sync.py |    50 -
 ...rated_content_service_get_content_async.py |    52 -
 ...erated_content_service_get_content_sync.py |    52 -
 ...ed_content_service_get_iam_policy_async.py |    53 -
 ...ted_content_service_get_iam_policy_sync.py |    53 -
 ...ated_content_service_list_content_async.py |    53 -
 ...rated_content_service_list_content_sync.py |    53 -
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diff --git a/owl-bot-staging/google-cloud-dataplex/v1/.coveragerc b/owl-bot-staging/google-cloud-dataplex/v1/.coveragerc
deleted file mode 100644
index 8df508b38cbc..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/.coveragerc
+++ /dev/null
@@ -1,13 +0,0 @@
-[run]
-branch = True
-
-[report]
-show_missing = True
-omit =
-    google/cloud/dataplex/__init__.py
-    google/cloud/dataplex/gapic_version.py
-exclude_lines =
-    # Re-enable the standard pragma
-    pragma: NO COVER
-    # Ignore debug-only repr
-    def __repr__
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/.flake8 b/owl-bot-staging/google-cloud-dataplex/v1/.flake8
deleted file mode 100644
index 29227d4cf419..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/.flake8
+++ /dev/null
@@ -1,33 +0,0 @@
-# -*- coding: utf-8 -*-
-#
-# Copyright 2020 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     https://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-# Generated by synthtool. DO NOT EDIT!
-[flake8]
-ignore = E203, E266, E501, W503
-exclude =
-  # Exclude generated code.
-  **/proto/**
-  **/gapic/**
-  **/services/**
-  **/types/**
-  *_pb2.py
-
-  # Standard linting exemptions.
-  **/.nox/**
-  __pycache__,
-  .git,
-  *.pyc,
-  conf.py
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/MANIFEST.in b/owl-bot-staging/google-cloud-dataplex/v1/MANIFEST.in
deleted file mode 100644
index eae3b9346087..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/MANIFEST.in
+++ /dev/null
@@ -1,2 +0,0 @@
-recursive-include google/cloud/dataplex *.py
-recursive-include google/cloud/dataplex_v1 *.py
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/README.rst b/owl-bot-staging/google-cloud-dataplex/v1/README.rst
deleted file mode 100644
index a1910d929c5f..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/README.rst
+++ /dev/null
@@ -1,49 +0,0 @@
-Python Client for Google Cloud Dataplex API
-=================================================
-
-Quick Start
------------
-
-In order to use this library, you first need to go through the following steps:
-
-1. `Select or create a Cloud Platform project.`_
-2. `Enable billing for your project.`_
-3. Enable the Google Cloud Dataplex API.
-4. `Setup Authentication.`_
-
-.. _Select or create a Cloud Platform project.: https://console.cloud.google.com/project
-.. _Enable billing for your project.: https://cloud.google.com/billing/docs/how-to/modify-project#enable_billing_for_a_project
-.. _Setup Authentication.: https://googleapis.dev/python/google-api-core/latest/auth.html
-
-Installation
-~~~~~~~~~~~~
-
-Install this library in a `virtualenv`_ using pip. `virtualenv`_ is a tool to
-create isolated Python environments. The basic problem it addresses is one of
-dependencies and versions, and indirectly permissions.
-
-With `virtualenv`_, it's possible to install this library without needing system
-install permissions, and without clashing with the installed system
-dependencies.
-
-.. _`virtualenv`: https://virtualenv.pypa.io/en/latest/
-
-
-Mac/Linux
-^^^^^^^^^
-
-.. code-block:: console
-
-    python3 -m venv <your-env>
-    source <your-env>/bin/activate
-    <your-env>/bin/pip install /path/to/library
-
-
-Windows
-^^^^^^^
-
-.. code-block:: console
-
-    python3 -m venv <your-env>
-    <your-env>\Scripts\activate
-    <your-env>\Scripts\pip.exe install \path\to\library
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/docs/_static/custom.css b/owl-bot-staging/google-cloud-dataplex/v1/docs/_static/custom.css
deleted file mode 100644
index 06423be0b592..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/docs/_static/custom.css
+++ /dev/null
@@ -1,3 +0,0 @@
-dl.field-list > dt {
-    min-width: 100px
-}
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/docs/conf.py b/owl-bot-staging/google-cloud-dataplex/v1/docs/conf.py
deleted file mode 100644
index 56923e180c46..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/docs/conf.py
+++ /dev/null
@@ -1,376 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-#
-# google-cloud-dataplex documentation build configuration file
-#
-# This file is execfile()d with the current directory set to its
-# containing dir.
-#
-# Note that not all possible configuration values are present in this
-# autogenerated file.
-#
-# All configuration values have a default; values that are commented out
-# serve to show the default.
-
-import sys
-import os
-import shlex
-
-# If extensions (or modules to document with autodoc) are in another directory,
-# add these directories to sys.path here. If the directory is relative to the
-# documentation root, use os.path.abspath to make it absolute, like shown here.
-sys.path.insert(0, os.path.abspath(".."))
-
-__version__ = "0.1.0"
-
-# -- General configuration ------------------------------------------------
-
-# If your documentation needs a minimal Sphinx version, state it here.
-needs_sphinx = "4.0.1"
-
-# Add any Sphinx extension module names here, as strings. They can be
-# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
-# ones.
-extensions = [
-    "sphinx.ext.autodoc",
-    "sphinx.ext.autosummary",
-    "sphinx.ext.intersphinx",
-    "sphinx.ext.coverage",
-    "sphinx.ext.napoleon",
-    "sphinx.ext.todo",
-    "sphinx.ext.viewcode",
-]
-
-# autodoc/autosummary flags
-autoclass_content = "both"
-autodoc_default_flags = ["members"]
-autosummary_generate = True
-
-
-# Add any paths that contain templates here, relative to this directory.
-templates_path = ["_templates"]
-
-# Allow markdown includes (so releases.md can include CHANGLEOG.md)
-# http://www.sphinx-doc.org/en/master/markdown.html
-source_parsers = {".md": "recommonmark.parser.CommonMarkParser"}
-
-# The suffix(es) of source filenames.
-# You can specify multiple suffix as a list of string:
-source_suffix = [".rst", ".md"]
-
-# The encoding of source files.
-# source_encoding = 'utf-8-sig'
-
-# The root toctree document.
-root_doc = "index"
-
-# General information about the project.
-project = u"google-cloud-dataplex"
-copyright = u"2023, Google, LLC"
-author = u"Google APIs"         # TODO: autogenerate this bit
-
-# The version info for the project you're documenting, acts as replacement for
-# |version| and |release|, also used in various other places throughout the
-# built documents.
-#
-# The full version, including alpha/beta/rc tags.
-release = __version__
-# The short X.Y version.
-version = ".".join(release.split(".")[0:2])
-
-# The language for content autogenerated by Sphinx. Refer to documentation
-# for a list of supported languages.
-#
-# This is also used if you do content translation via gettext catalogs.
-# Usually you set "language" from the command line for these cases.
-language = 'en'
-
-# There are two options for replacing |today|: either, you set today to some
-# non-false value, then it is used:
-# today = ''
-# Else, today_fmt is used as the format for a strftime call.
-# today_fmt = '%B %d, %Y'
-
-# List of patterns, relative to source directory, that match files and
-# directories to ignore when looking for source files.
-exclude_patterns = ["_build"]
-
-# The reST default role (used for this markup: `text`) to use for all
-# documents.
-# default_role = None
-
-# If true, '()' will be appended to :func: etc. cross-reference text.
-# add_function_parentheses = True
-
-# If true, the current module name will be prepended to all description
-# unit titles (such as .. function::).
-# add_module_names = True
-
-# If true, sectionauthor and moduleauthor directives will be shown in the
-# output. They are ignored by default.
-# show_authors = False
-
-# The name of the Pygments (syntax highlighting) style to use.
-pygments_style = "sphinx"
-
-# A list of ignored prefixes for module index sorting.
-# modindex_common_prefix = []
-
-# If true, keep warnings as "system message" paragraphs in the built documents.
-# keep_warnings = False
-
-# If true, `todo` and `todoList` produce output, else they produce nothing.
-todo_include_todos = True
-
-
-# -- Options for HTML output ----------------------------------------------
-
-# The theme to use for HTML and HTML Help pages.  See the documentation for
-# a list of builtin themes.
-html_theme = "alabaster"
-
-# Theme options are theme-specific and customize the look and feel of a theme
-# further.  For a list of options available for each theme, see the
-# documentation.
-html_theme_options = {
-    "description": "Google Cloud Client Libraries for Python",
-    "github_user": "googleapis",
-    "github_repo": "google-cloud-python",
-    "github_banner": True,
-    "font_family": "'Roboto', Georgia, sans",
-    "head_font_family": "'Roboto', Georgia, serif",
-    "code_font_family": "'Roboto Mono', 'Consolas', monospace",
-}
-
-# Add any paths that contain custom themes here, relative to this directory.
-# html_theme_path = []
-
-# The name for this set of Sphinx documents.  If None, it defaults to
-# "<project> v<release> documentation".
-# html_title = None
-
-# A shorter title for the navigation bar.  Default is the same as html_title.
-# html_short_title = None
-
-# The name of an image file (relative to this directory) to place at the top
-# of the sidebar.
-# html_logo = None
-
-# The name of an image file (within the static path) to use as favicon of the
-# docs.  This file should be a Windows icon file (.ico) being 16x16 or 32x32
-# pixels large.
-# html_favicon = None
-
-# Add any paths that contain custom static files (such as style sheets) here,
-# relative to this directory. They are copied after the builtin static files,
-# so a file named "default.css" will overwrite the builtin "default.css".
-html_static_path = ["_static"]
-
-# Add any extra paths that contain custom files (such as robots.txt or
-# .htaccess) here, relative to this directory. These files are copied
-# directly to the root of the documentation.
-# html_extra_path = []
-
-# If not '', a 'Last updated on:' timestamp is inserted at every page bottom,
-# using the given strftime format.
-# html_last_updated_fmt = '%b %d, %Y'
-
-# If true, SmartyPants will be used to convert quotes and dashes to
-# typographically correct entities.
-# html_use_smartypants = True
-
-# Custom sidebar templates, maps document names to template names.
-# html_sidebars = {}
-
-# Additional templates that should be rendered to pages, maps page names to
-# template names.
-# html_additional_pages = {}
-
-# If false, no module index is generated.
-# html_domain_indices = True
-
-# If false, no index is generated.
-# html_use_index = True
-
-# If true, the index is split into individual pages for each letter.
-# html_split_index = False
-
-# If true, links to the reST sources are added to the pages.
-# html_show_sourcelink = True
-
-# If true, "Created using Sphinx" is shown in the HTML footer. Default is True.
-# html_show_sphinx = True
-
-# If true, "(C) Copyright ..." is shown in the HTML footer. Default is True.
-# html_show_copyright = True
-
-# If true, an OpenSearch description file will be output, and all pages will
-# contain a <link> tag referring to it.  The value of this option must be the
-# base URL from which the finished HTML is served.
-# html_use_opensearch = ''
-
-# This is the file name suffix for HTML files (e.g. ".xhtml").
-# html_file_suffix = None
-
-# Language to be used for generating the HTML full-text search index.
-# Sphinx supports the following languages:
-#   'da', 'de', 'en', 'es', 'fi', 'fr', 'hu', 'it', 'ja'
-#   'nl', 'no', 'pt', 'ro', 'ru', 'sv', 'tr'
-# html_search_language = 'en'
-
-# A dictionary with options for the search language support, empty by default.
-# Now only 'ja' uses this config value
-# html_search_options = {'type': 'default'}
-
-# The name of a javascript file (relative to the configuration directory) that
-# implements a search results scorer. If empty, the default will be used.
-# html_search_scorer = 'scorer.js'
-
-# Output file base name for HTML help builder.
-htmlhelp_basename = "google-cloud-dataplex-doc"
-
-# -- Options for warnings ------------------------------------------------------
-
-
-suppress_warnings = [
-    # Temporarily suppress this to avoid "more than one target found for
-    # cross-reference" warning, which are intractable for us to avoid while in
-    # a mono-repo.
-    # See https://github.com/sphinx-doc/sphinx/blob
-    # /2a65ffeef5c107c19084fabdd706cdff3f52d93c/sphinx/domains/python.py#L843
-    "ref.python"
-]
-
-# -- Options for LaTeX output ---------------------------------------------
-
-latex_elements = {
-    # The paper size ('letterpaper' or 'a4paper').
-    # 'papersize': 'letterpaper',
-    # The font size ('10pt', '11pt' or '12pt').
-    # 'pointsize': '10pt',
-    # Additional stuff for the LaTeX preamble.
-    # 'preamble': '',
-    # Latex figure (float) alignment
-    # 'figure_align': 'htbp',
-}
-
-# Grouping the document tree into LaTeX files. List of tuples
-# (source start file, target name, title,
-#  author, documentclass [howto, manual, or own class]).
-latex_documents = [
-    (
-        root_doc,
-        "google-cloud-dataplex.tex",
-        u"google-cloud-dataplex Documentation",
-        author,
-        "manual",
-    )
-]
-
-# The name of an image file (relative to this directory) to place at the top of
-# the title page.
-# latex_logo = None
-
-# For "manual" documents, if this is true, then toplevel headings are parts,
-# not chapters.
-# latex_use_parts = False
-
-# If true, show page references after internal links.
-# latex_show_pagerefs = False
-
-# If true, show URL addresses after external links.
-# latex_show_urls = False
-
-# Documents to append as an appendix to all manuals.
-# latex_appendices = []
-
-# If false, no module index is generated.
-# latex_domain_indices = True
-
-
-# -- Options for manual page output ---------------------------------------
-
-# One entry per manual page. List of tuples
-# (source start file, name, description, authors, manual section).
-man_pages = [
-    (
-        root_doc,
-        "google-cloud-dataplex",
-        u"Google Cloud Dataplex Documentation",
-        [author],
-        1,
-    )
-]
-
-# If true, show URL addresses after external links.
-# man_show_urls = False
-
-
-# -- Options for Texinfo output -------------------------------------------
-
-# Grouping the document tree into Texinfo files. List of tuples
-# (source start file, target name, title, author,
-#  dir menu entry, description, category)
-texinfo_documents = [
-    (
-        root_doc,
-        "google-cloud-dataplex",
-        u"google-cloud-dataplex Documentation",
-        author,
-        "google-cloud-dataplex",
-        "GAPIC library for Google Cloud Dataplex API",
-        "APIs",
-    )
-]
-
-# Documents to append as an appendix to all manuals.
-# texinfo_appendices = []
-
-# If false, no module index is generated.
-# texinfo_domain_indices = True
-
-# How to display URL addresses: 'footnote', 'no', or 'inline'.
-# texinfo_show_urls = 'footnote'
-
-# If true, do not generate a @detailmenu in the "Top" node's menu.
-# texinfo_no_detailmenu = False
-
-
-# Example configuration for intersphinx: refer to the Python standard library.
-intersphinx_mapping = {
-    "python": ("http://python.readthedocs.org/en/latest/", None),
-    "gax": ("https://gax-python.readthedocs.org/en/latest/", None),
-    "google-auth": ("https://google-auth.readthedocs.io/en/stable", None),
-    "google-gax": ("https://gax-python.readthedocs.io/en/latest/", None),
-    "google.api_core": ("https://googleapis.dev/python/google-api-core/latest/", None),
-    "grpc": ("https://grpc.io/grpc/python/", None),
-    "requests": ("http://requests.kennethreitz.org/en/stable/", None),
-    "proto": ("https://proto-plus-python.readthedocs.io/en/stable", None),
-    "protobuf": ("https://googleapis.dev/python/protobuf/latest/", None),
-}
-
-
-# Napoleon settings
-napoleon_google_docstring = True
-napoleon_numpy_docstring = True
-napoleon_include_private_with_doc = False
-napoleon_include_special_with_doc = True
-napoleon_use_admonition_for_examples = False
-napoleon_use_admonition_for_notes = False
-napoleon_use_admonition_for_references = False
-napoleon_use_ivar = False
-napoleon_use_param = True
-napoleon_use_rtype = True
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/docs/dataplex_v1/catalog_service.rst b/owl-bot-staging/google-cloud-dataplex/v1/docs/dataplex_v1/catalog_service.rst
deleted file mode 100644
index ef6306fadb87..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/docs/dataplex_v1/catalog_service.rst
+++ /dev/null
@@ -1,10 +0,0 @@
-CatalogService
---------------------------------
-
-.. automodule:: google.cloud.dataplex_v1.services.catalog_service
-    :members:
-    :inherited-members:
-
-.. automodule:: google.cloud.dataplex_v1.services.catalog_service.pagers
-    :members:
-    :inherited-members:
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/docs/dataplex_v1/content_service.rst b/owl-bot-staging/google-cloud-dataplex/v1/docs/dataplex_v1/content_service.rst
deleted file mode 100644
index ce3774365501..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/docs/dataplex_v1/content_service.rst
+++ /dev/null
@@ -1,10 +0,0 @@
-ContentService
---------------------------------
-
-.. automodule:: google.cloud.dataplex_v1.services.content_service
-    :members:
-    :inherited-members:
-
-.. automodule:: google.cloud.dataplex_v1.services.content_service.pagers
-    :members:
-    :inherited-members:
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/docs/dataplex_v1/data_scan_service.rst b/owl-bot-staging/google-cloud-dataplex/v1/docs/dataplex_v1/data_scan_service.rst
deleted file mode 100644
index c9281cda5823..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/docs/dataplex_v1/data_scan_service.rst
+++ /dev/null
@@ -1,10 +0,0 @@
-DataScanService
----------------------------------
-
-.. automodule:: google.cloud.dataplex_v1.services.data_scan_service
-    :members:
-    :inherited-members:
-
-.. automodule:: google.cloud.dataplex_v1.services.data_scan_service.pagers
-    :members:
-    :inherited-members:
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/docs/dataplex_v1/data_taxonomy_service.rst b/owl-bot-staging/google-cloud-dataplex/v1/docs/dataplex_v1/data_taxonomy_service.rst
deleted file mode 100644
index b2a185a3c43f..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/docs/dataplex_v1/data_taxonomy_service.rst
+++ /dev/null
@@ -1,10 +0,0 @@
-DataTaxonomyService
--------------------------------------
-
-.. automodule:: google.cloud.dataplex_v1.services.data_taxonomy_service
-    :members:
-    :inherited-members:
-
-.. automodule:: google.cloud.dataplex_v1.services.data_taxonomy_service.pagers
-    :members:
-    :inherited-members:
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/docs/dataplex_v1/dataplex_service.rst b/owl-bot-staging/google-cloud-dataplex/v1/docs/dataplex_v1/dataplex_service.rst
deleted file mode 100644
index 5ecb20ccef96..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/docs/dataplex_v1/dataplex_service.rst
+++ /dev/null
@@ -1,10 +0,0 @@
-DataplexService
----------------------------------
-
-.. automodule:: google.cloud.dataplex_v1.services.dataplex_service
-    :members:
-    :inherited-members:
-
-.. automodule:: google.cloud.dataplex_v1.services.dataplex_service.pagers
-    :members:
-    :inherited-members:
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/docs/dataplex_v1/metadata_service.rst b/owl-bot-staging/google-cloud-dataplex/v1/docs/dataplex_v1/metadata_service.rst
deleted file mode 100644
index d5bf19660ab5..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/docs/dataplex_v1/metadata_service.rst
+++ /dev/null
@@ -1,10 +0,0 @@
-MetadataService
----------------------------------
-
-.. automodule:: google.cloud.dataplex_v1.services.metadata_service
-    :members:
-    :inherited-members:
-
-.. automodule:: google.cloud.dataplex_v1.services.metadata_service.pagers
-    :members:
-    :inherited-members:
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/docs/dataplex_v1/services_.rst b/owl-bot-staging/google-cloud-dataplex/v1/docs/dataplex_v1/services_.rst
deleted file mode 100644
index 42044fdd76d1..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/docs/dataplex_v1/services_.rst
+++ /dev/null
@@ -1,11 +0,0 @@
-Services for Google Cloud Dataplex v1 API
-=========================================
-.. toctree::
-    :maxdepth: 2
-
-    catalog_service
-    content_service
-    dataplex_service
-    data_scan_service
-    data_taxonomy_service
-    metadata_service
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/docs/dataplex_v1/types_.rst b/owl-bot-staging/google-cloud-dataplex/v1/docs/dataplex_v1/types_.rst
deleted file mode 100644
index 391acd51ef80..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/docs/dataplex_v1/types_.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-Types for Google Cloud Dataplex v1 API
-======================================
-
-.. automodule:: google.cloud.dataplex_v1.types
-    :members:
-    :show-inheritance:
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/docs/index.rst b/owl-bot-staging/google-cloud-dataplex/v1/docs/index.rst
deleted file mode 100644
index 56aeec907611..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/docs/index.rst
+++ /dev/null
@@ -1,7 +0,0 @@
-API Reference
--------------
-.. toctree::
-    :maxdepth: 2
-
-    dataplex_v1/services_
-    dataplex_v1/types_
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex/__init__.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex/__init__.py
deleted file mode 100644
index ce1a3bf8386c..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex/__init__.py
+++ /dev/null
@@ -1,407 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from google.cloud.dataplex import gapic_version as package_version
-
-__version__ = package_version.__version__
-
-
-from google.cloud.dataplex_v1.services.catalog_service.client import CatalogServiceClient
-from google.cloud.dataplex_v1.services.catalog_service.async_client import CatalogServiceAsyncClient
-from google.cloud.dataplex_v1.services.content_service.client import ContentServiceClient
-from google.cloud.dataplex_v1.services.content_service.async_client import ContentServiceAsyncClient
-from google.cloud.dataplex_v1.services.dataplex_service.client import DataplexServiceClient
-from google.cloud.dataplex_v1.services.dataplex_service.async_client import DataplexServiceAsyncClient
-from google.cloud.dataplex_v1.services.data_scan_service.client import DataScanServiceClient
-from google.cloud.dataplex_v1.services.data_scan_service.async_client import DataScanServiceAsyncClient
-from google.cloud.dataplex_v1.services.data_taxonomy_service.client import DataTaxonomyServiceClient
-from google.cloud.dataplex_v1.services.data_taxonomy_service.async_client import DataTaxonomyServiceAsyncClient
-from google.cloud.dataplex_v1.services.metadata_service.client import MetadataServiceClient
-from google.cloud.dataplex_v1.services.metadata_service.async_client import MetadataServiceAsyncClient
-
-from google.cloud.dataplex_v1.types.analyze import Content
-from google.cloud.dataplex_v1.types.analyze import Environment
-from google.cloud.dataplex_v1.types.analyze import Session
-from google.cloud.dataplex_v1.types.catalog import Aspect
-from google.cloud.dataplex_v1.types.catalog import AspectSource
-from google.cloud.dataplex_v1.types.catalog import AspectType
-from google.cloud.dataplex_v1.types.catalog import CancelMetadataJobRequest
-from google.cloud.dataplex_v1.types.catalog import CreateAspectTypeRequest
-from google.cloud.dataplex_v1.types.catalog import CreateEntryGroupRequest
-from google.cloud.dataplex_v1.types.catalog import CreateEntryRequest
-from google.cloud.dataplex_v1.types.catalog import CreateEntryTypeRequest
-from google.cloud.dataplex_v1.types.catalog import CreateMetadataJobRequest
-from google.cloud.dataplex_v1.types.catalog import DeleteAspectTypeRequest
-from google.cloud.dataplex_v1.types.catalog import DeleteEntryGroupRequest
-from google.cloud.dataplex_v1.types.catalog import DeleteEntryRequest
-from google.cloud.dataplex_v1.types.catalog import DeleteEntryTypeRequest
-from google.cloud.dataplex_v1.types.catalog import Entry
-from google.cloud.dataplex_v1.types.catalog import EntryGroup
-from google.cloud.dataplex_v1.types.catalog import EntrySource
-from google.cloud.dataplex_v1.types.catalog import EntryType
-from google.cloud.dataplex_v1.types.catalog import GetAspectTypeRequest
-from google.cloud.dataplex_v1.types.catalog import GetEntryGroupRequest
-from google.cloud.dataplex_v1.types.catalog import GetEntryRequest
-from google.cloud.dataplex_v1.types.catalog import GetEntryTypeRequest
-from google.cloud.dataplex_v1.types.catalog import GetMetadataJobRequest
-from google.cloud.dataplex_v1.types.catalog import ImportItem
-from google.cloud.dataplex_v1.types.catalog import ListAspectTypesRequest
-from google.cloud.dataplex_v1.types.catalog import ListAspectTypesResponse
-from google.cloud.dataplex_v1.types.catalog import ListEntriesRequest
-from google.cloud.dataplex_v1.types.catalog import ListEntriesResponse
-from google.cloud.dataplex_v1.types.catalog import ListEntryGroupsRequest
-from google.cloud.dataplex_v1.types.catalog import ListEntryGroupsResponse
-from google.cloud.dataplex_v1.types.catalog import ListEntryTypesRequest
-from google.cloud.dataplex_v1.types.catalog import ListEntryTypesResponse
-from google.cloud.dataplex_v1.types.catalog import ListMetadataJobsRequest
-from google.cloud.dataplex_v1.types.catalog import ListMetadataJobsResponse
-from google.cloud.dataplex_v1.types.catalog import LookupEntryRequest
-from google.cloud.dataplex_v1.types.catalog import MetadataJob
-from google.cloud.dataplex_v1.types.catalog import SearchEntriesRequest
-from google.cloud.dataplex_v1.types.catalog import SearchEntriesResponse
-from google.cloud.dataplex_v1.types.catalog import SearchEntriesResult
-from google.cloud.dataplex_v1.types.catalog import UpdateAspectTypeRequest
-from google.cloud.dataplex_v1.types.catalog import UpdateEntryGroupRequest
-from google.cloud.dataplex_v1.types.catalog import UpdateEntryRequest
-from google.cloud.dataplex_v1.types.catalog import UpdateEntryTypeRequest
-from google.cloud.dataplex_v1.types.catalog import EntryView
-from google.cloud.dataplex_v1.types.catalog import TransferStatus
-from google.cloud.dataplex_v1.types.content import CreateContentRequest
-from google.cloud.dataplex_v1.types.content import DeleteContentRequest
-from google.cloud.dataplex_v1.types.content import GetContentRequest
-from google.cloud.dataplex_v1.types.content import ListContentRequest
-from google.cloud.dataplex_v1.types.content import ListContentResponse
-from google.cloud.dataplex_v1.types.content import UpdateContentRequest
-from google.cloud.dataplex_v1.types.data_discovery import DataDiscoveryResult
-from google.cloud.dataplex_v1.types.data_discovery import DataDiscoverySpec
-from google.cloud.dataplex_v1.types.data_profile import DataProfileResult
-from google.cloud.dataplex_v1.types.data_profile import DataProfileSpec
-from google.cloud.dataplex_v1.types.data_quality import DataQualityColumnResult
-from google.cloud.dataplex_v1.types.data_quality import DataQualityDimension
-from google.cloud.dataplex_v1.types.data_quality import DataQualityDimensionResult
-from google.cloud.dataplex_v1.types.data_quality import DataQualityResult
-from google.cloud.dataplex_v1.types.data_quality import DataQualityRule
-from google.cloud.dataplex_v1.types.data_quality import DataQualityRuleResult
-from google.cloud.dataplex_v1.types.data_quality import DataQualitySpec
-from google.cloud.dataplex_v1.types.data_taxonomy import CreateDataAttributeBindingRequest
-from google.cloud.dataplex_v1.types.data_taxonomy import CreateDataAttributeRequest
-from google.cloud.dataplex_v1.types.data_taxonomy import CreateDataTaxonomyRequest
-from google.cloud.dataplex_v1.types.data_taxonomy import DataAttribute
-from google.cloud.dataplex_v1.types.data_taxonomy import DataAttributeBinding
-from google.cloud.dataplex_v1.types.data_taxonomy import DataTaxonomy
-from google.cloud.dataplex_v1.types.data_taxonomy import DeleteDataAttributeBindingRequest
-from google.cloud.dataplex_v1.types.data_taxonomy import DeleteDataAttributeRequest
-from google.cloud.dataplex_v1.types.data_taxonomy import DeleteDataTaxonomyRequest
-from google.cloud.dataplex_v1.types.data_taxonomy import GetDataAttributeBindingRequest
-from google.cloud.dataplex_v1.types.data_taxonomy import GetDataAttributeRequest
-from google.cloud.dataplex_v1.types.data_taxonomy import GetDataTaxonomyRequest
-from google.cloud.dataplex_v1.types.data_taxonomy import ListDataAttributeBindingsRequest
-from google.cloud.dataplex_v1.types.data_taxonomy import ListDataAttributeBindingsResponse
-from google.cloud.dataplex_v1.types.data_taxonomy import ListDataAttributesRequest
-from google.cloud.dataplex_v1.types.data_taxonomy import ListDataAttributesResponse
-from google.cloud.dataplex_v1.types.data_taxonomy import ListDataTaxonomiesRequest
-from google.cloud.dataplex_v1.types.data_taxonomy import ListDataTaxonomiesResponse
-from google.cloud.dataplex_v1.types.data_taxonomy import UpdateDataAttributeBindingRequest
-from google.cloud.dataplex_v1.types.data_taxonomy import UpdateDataAttributeRequest
-from google.cloud.dataplex_v1.types.data_taxonomy import UpdateDataTaxonomyRequest
-from google.cloud.dataplex_v1.types.datascans import CreateDataScanRequest
-from google.cloud.dataplex_v1.types.datascans import DataScan
-from google.cloud.dataplex_v1.types.datascans import DataScanJob
-from google.cloud.dataplex_v1.types.datascans import DeleteDataScanRequest
-from google.cloud.dataplex_v1.types.datascans import GenerateDataQualityRulesRequest
-from google.cloud.dataplex_v1.types.datascans import GenerateDataQualityRulesResponse
-from google.cloud.dataplex_v1.types.datascans import GetDataScanJobRequest
-from google.cloud.dataplex_v1.types.datascans import GetDataScanRequest
-from google.cloud.dataplex_v1.types.datascans import ListDataScanJobsRequest
-from google.cloud.dataplex_v1.types.datascans import ListDataScanJobsResponse
-from google.cloud.dataplex_v1.types.datascans import ListDataScansRequest
-from google.cloud.dataplex_v1.types.datascans import ListDataScansResponse
-from google.cloud.dataplex_v1.types.datascans import RunDataScanRequest
-from google.cloud.dataplex_v1.types.datascans import RunDataScanResponse
-from google.cloud.dataplex_v1.types.datascans import UpdateDataScanRequest
-from google.cloud.dataplex_v1.types.datascans import DataScanType
-from google.cloud.dataplex_v1.types.logs import DataQualityScanRuleResult
-from google.cloud.dataplex_v1.types.logs import DataScanEvent
-from google.cloud.dataplex_v1.types.logs import DiscoveryEvent
-from google.cloud.dataplex_v1.types.logs import GovernanceEvent
-from google.cloud.dataplex_v1.types.logs import JobEvent
-from google.cloud.dataplex_v1.types.logs import SessionEvent
-from google.cloud.dataplex_v1.types.metadata_ import CreateEntityRequest
-from google.cloud.dataplex_v1.types.metadata_ import CreatePartitionRequest
-from google.cloud.dataplex_v1.types.metadata_ import DeleteEntityRequest
-from google.cloud.dataplex_v1.types.metadata_ import DeletePartitionRequest
-from google.cloud.dataplex_v1.types.metadata_ import Entity
-from google.cloud.dataplex_v1.types.metadata_ import GetEntityRequest
-from google.cloud.dataplex_v1.types.metadata_ import GetPartitionRequest
-from google.cloud.dataplex_v1.types.metadata_ import ListEntitiesRequest
-from google.cloud.dataplex_v1.types.metadata_ import ListEntitiesResponse
-from google.cloud.dataplex_v1.types.metadata_ import ListPartitionsRequest
-from google.cloud.dataplex_v1.types.metadata_ import ListPartitionsResponse
-from google.cloud.dataplex_v1.types.metadata_ import Partition
-from google.cloud.dataplex_v1.types.metadata_ import Schema
-from google.cloud.dataplex_v1.types.metadata_ import StorageAccess
-from google.cloud.dataplex_v1.types.metadata_ import StorageFormat
-from google.cloud.dataplex_v1.types.metadata_ import UpdateEntityRequest
-from google.cloud.dataplex_v1.types.metadata_ import StorageSystem
-from google.cloud.dataplex_v1.types.processing import DataSource
-from google.cloud.dataplex_v1.types.processing import ScannedData
-from google.cloud.dataplex_v1.types.processing import Trigger
-from google.cloud.dataplex_v1.types.resources import Action
-from google.cloud.dataplex_v1.types.resources import Asset
-from google.cloud.dataplex_v1.types.resources import AssetStatus
-from google.cloud.dataplex_v1.types.resources import Lake
-from google.cloud.dataplex_v1.types.resources import Zone
-from google.cloud.dataplex_v1.types.resources import State
-from google.cloud.dataplex_v1.types.security import DataAccessSpec
-from google.cloud.dataplex_v1.types.security import ResourceAccessSpec
-from google.cloud.dataplex_v1.types.service import CancelJobRequest
-from google.cloud.dataplex_v1.types.service import CreateAssetRequest
-from google.cloud.dataplex_v1.types.service import CreateEnvironmentRequest
-from google.cloud.dataplex_v1.types.service import CreateLakeRequest
-from google.cloud.dataplex_v1.types.service import CreateTaskRequest
-from google.cloud.dataplex_v1.types.service import CreateZoneRequest
-from google.cloud.dataplex_v1.types.service import DeleteAssetRequest
-from google.cloud.dataplex_v1.types.service import DeleteEnvironmentRequest
-from google.cloud.dataplex_v1.types.service import DeleteLakeRequest
-from google.cloud.dataplex_v1.types.service import DeleteTaskRequest
-from google.cloud.dataplex_v1.types.service import DeleteZoneRequest
-from google.cloud.dataplex_v1.types.service import GetAssetRequest
-from google.cloud.dataplex_v1.types.service import GetEnvironmentRequest
-from google.cloud.dataplex_v1.types.service import GetJobRequest
-from google.cloud.dataplex_v1.types.service import GetLakeRequest
-from google.cloud.dataplex_v1.types.service import GetTaskRequest
-from google.cloud.dataplex_v1.types.service import GetZoneRequest
-from google.cloud.dataplex_v1.types.service import ListActionsResponse
-from google.cloud.dataplex_v1.types.service import ListAssetActionsRequest
-from google.cloud.dataplex_v1.types.service import ListAssetsRequest
-from google.cloud.dataplex_v1.types.service import ListAssetsResponse
-from google.cloud.dataplex_v1.types.service import ListEnvironmentsRequest
-from google.cloud.dataplex_v1.types.service import ListEnvironmentsResponse
-from google.cloud.dataplex_v1.types.service import ListJobsRequest
-from google.cloud.dataplex_v1.types.service import ListJobsResponse
-from google.cloud.dataplex_v1.types.service import ListLakeActionsRequest
-from google.cloud.dataplex_v1.types.service import ListLakesRequest
-from google.cloud.dataplex_v1.types.service import ListLakesResponse
-from google.cloud.dataplex_v1.types.service import ListSessionsRequest
-from google.cloud.dataplex_v1.types.service import ListSessionsResponse
-from google.cloud.dataplex_v1.types.service import ListTasksRequest
-from google.cloud.dataplex_v1.types.service import ListTasksResponse
-from google.cloud.dataplex_v1.types.service import ListZoneActionsRequest
-from google.cloud.dataplex_v1.types.service import ListZonesRequest
-from google.cloud.dataplex_v1.types.service import ListZonesResponse
-from google.cloud.dataplex_v1.types.service import OperationMetadata
-from google.cloud.dataplex_v1.types.service import RunTaskRequest
-from google.cloud.dataplex_v1.types.service import RunTaskResponse
-from google.cloud.dataplex_v1.types.service import UpdateAssetRequest
-from google.cloud.dataplex_v1.types.service import UpdateEnvironmentRequest
-from google.cloud.dataplex_v1.types.service import UpdateLakeRequest
-from google.cloud.dataplex_v1.types.service import UpdateTaskRequest
-from google.cloud.dataplex_v1.types.service import UpdateZoneRequest
-from google.cloud.dataplex_v1.types.tasks import Job
-from google.cloud.dataplex_v1.types.tasks import Task
-
-__all__ = ('CatalogServiceClient',
-    'CatalogServiceAsyncClient',
-    'ContentServiceClient',
-    'ContentServiceAsyncClient',
-    'DataplexServiceClient',
-    'DataplexServiceAsyncClient',
-    'DataScanServiceClient',
-    'DataScanServiceAsyncClient',
-    'DataTaxonomyServiceClient',
-    'DataTaxonomyServiceAsyncClient',
-    'MetadataServiceClient',
-    'MetadataServiceAsyncClient',
-    'Content',
-    'Environment',
-    'Session',
-    'Aspect',
-    'AspectSource',
-    'AspectType',
-    'CancelMetadataJobRequest',
-    'CreateAspectTypeRequest',
-    'CreateEntryGroupRequest',
-    'CreateEntryRequest',
-    'CreateEntryTypeRequest',
-    'CreateMetadataJobRequest',
-    'DeleteAspectTypeRequest',
-    'DeleteEntryGroupRequest',
-    'DeleteEntryRequest',
-    'DeleteEntryTypeRequest',
-    'Entry',
-    'EntryGroup',
-    'EntrySource',
-    'EntryType',
-    'GetAspectTypeRequest',
-    'GetEntryGroupRequest',
-    'GetEntryRequest',
-    'GetEntryTypeRequest',
-    'GetMetadataJobRequest',
-    'ImportItem',
-    'ListAspectTypesRequest',
-    'ListAspectTypesResponse',
-    'ListEntriesRequest',
-    'ListEntriesResponse',
-    'ListEntryGroupsRequest',
-    'ListEntryGroupsResponse',
-    'ListEntryTypesRequest',
-    'ListEntryTypesResponse',
-    'ListMetadataJobsRequest',
-    'ListMetadataJobsResponse',
-    'LookupEntryRequest',
-    'MetadataJob',
-    'SearchEntriesRequest',
-    'SearchEntriesResponse',
-    'SearchEntriesResult',
-    'UpdateAspectTypeRequest',
-    'UpdateEntryGroupRequest',
-    'UpdateEntryRequest',
-    'UpdateEntryTypeRequest',
-    'EntryView',
-    'TransferStatus',
-    'CreateContentRequest',
-    'DeleteContentRequest',
-    'GetContentRequest',
-    'ListContentRequest',
-    'ListContentResponse',
-    'UpdateContentRequest',
-    'DataDiscoveryResult',
-    'DataDiscoverySpec',
-    'DataProfileResult',
-    'DataProfileSpec',
-    'DataQualityColumnResult',
-    'DataQualityDimension',
-    'DataQualityDimensionResult',
-    'DataQualityResult',
-    'DataQualityRule',
-    'DataQualityRuleResult',
-    'DataQualitySpec',
-    'CreateDataAttributeBindingRequest',
-    'CreateDataAttributeRequest',
-    'CreateDataTaxonomyRequest',
-    'DataAttribute',
-    'DataAttributeBinding',
-    'DataTaxonomy',
-    'DeleteDataAttributeBindingRequest',
-    'DeleteDataAttributeRequest',
-    'DeleteDataTaxonomyRequest',
-    'GetDataAttributeBindingRequest',
-    'GetDataAttributeRequest',
-    'GetDataTaxonomyRequest',
-    'ListDataAttributeBindingsRequest',
-    'ListDataAttributeBindingsResponse',
-    'ListDataAttributesRequest',
-    'ListDataAttributesResponse',
-    'ListDataTaxonomiesRequest',
-    'ListDataTaxonomiesResponse',
-    'UpdateDataAttributeBindingRequest',
-    'UpdateDataAttributeRequest',
-    'UpdateDataTaxonomyRequest',
-    'CreateDataScanRequest',
-    'DataScan',
-    'DataScanJob',
-    'DeleteDataScanRequest',
-    'GenerateDataQualityRulesRequest',
-    'GenerateDataQualityRulesResponse',
-    'GetDataScanJobRequest',
-    'GetDataScanRequest',
-    'ListDataScanJobsRequest',
-    'ListDataScanJobsResponse',
-    'ListDataScansRequest',
-    'ListDataScansResponse',
-    'RunDataScanRequest',
-    'RunDataScanResponse',
-    'UpdateDataScanRequest',
-    'DataScanType',
-    'DataQualityScanRuleResult',
-    'DataScanEvent',
-    'DiscoveryEvent',
-    'GovernanceEvent',
-    'JobEvent',
-    'SessionEvent',
-    'CreateEntityRequest',
-    'CreatePartitionRequest',
-    'DeleteEntityRequest',
-    'DeletePartitionRequest',
-    'Entity',
-    'GetEntityRequest',
-    'GetPartitionRequest',
-    'ListEntitiesRequest',
-    'ListEntitiesResponse',
-    'ListPartitionsRequest',
-    'ListPartitionsResponse',
-    'Partition',
-    'Schema',
-    'StorageAccess',
-    'StorageFormat',
-    'UpdateEntityRequest',
-    'StorageSystem',
-    'DataSource',
-    'ScannedData',
-    'Trigger',
-    'Action',
-    'Asset',
-    'AssetStatus',
-    'Lake',
-    'Zone',
-    'State',
-    'DataAccessSpec',
-    'ResourceAccessSpec',
-    'CancelJobRequest',
-    'CreateAssetRequest',
-    'CreateEnvironmentRequest',
-    'CreateLakeRequest',
-    'CreateTaskRequest',
-    'CreateZoneRequest',
-    'DeleteAssetRequest',
-    'DeleteEnvironmentRequest',
-    'DeleteLakeRequest',
-    'DeleteTaskRequest',
-    'DeleteZoneRequest',
-    'GetAssetRequest',
-    'GetEnvironmentRequest',
-    'GetJobRequest',
-    'GetLakeRequest',
-    'GetTaskRequest',
-    'GetZoneRequest',
-    'ListActionsResponse',
-    'ListAssetActionsRequest',
-    'ListAssetsRequest',
-    'ListAssetsResponse',
-    'ListEnvironmentsRequest',
-    'ListEnvironmentsResponse',
-    'ListJobsRequest',
-    'ListJobsResponse',
-    'ListLakeActionsRequest',
-    'ListLakesRequest',
-    'ListLakesResponse',
-    'ListSessionsRequest',
-    'ListSessionsResponse',
-    'ListTasksRequest',
-    'ListTasksResponse',
-    'ListZoneActionsRequest',
-    'ListZonesRequest',
-    'ListZonesResponse',
-    'OperationMetadata',
-    'RunTaskRequest',
-    'RunTaskResponse',
-    'UpdateAssetRequest',
-    'UpdateEnvironmentRequest',
-    'UpdateLakeRequest',
-    'UpdateTaskRequest',
-    'UpdateZoneRequest',
-    'Job',
-    'Task',
-)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex/gapic_version.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex/gapic_version.py
deleted file mode 100644
index 558c8aab67c5..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex/gapic_version.py
+++ /dev/null
@@ -1,16 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-__version__ = "0.0.0"  # {x-release-please-version}
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex/py.typed b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex/py.typed
deleted file mode 100644
index c932c263028e..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex/py.typed
+++ /dev/null
@@ -1,2 +0,0 @@
-# Marker file for PEP 561.
-# The google-cloud-dataplex package uses inline types.
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/__init__.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/__init__.py
deleted file mode 100644
index 7fd5f0814f43..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/__init__.py
+++ /dev/null
@@ -1,408 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from google.cloud.dataplex_v1 import gapic_version as package_version
-
-__version__ = package_version.__version__
-
-
-from .services.catalog_service import CatalogServiceClient
-from .services.catalog_service import CatalogServiceAsyncClient
-from .services.content_service import ContentServiceClient
-from .services.content_service import ContentServiceAsyncClient
-from .services.dataplex_service import DataplexServiceClient
-from .services.dataplex_service import DataplexServiceAsyncClient
-from .services.data_scan_service import DataScanServiceClient
-from .services.data_scan_service import DataScanServiceAsyncClient
-from .services.data_taxonomy_service import DataTaxonomyServiceClient
-from .services.data_taxonomy_service import DataTaxonomyServiceAsyncClient
-from .services.metadata_service import MetadataServiceClient
-from .services.metadata_service import MetadataServiceAsyncClient
-
-from .types.analyze import Content
-from .types.analyze import Environment
-from .types.analyze import Session
-from .types.catalog import Aspect
-from .types.catalog import AspectSource
-from .types.catalog import AspectType
-from .types.catalog import CancelMetadataJobRequest
-from .types.catalog import CreateAspectTypeRequest
-from .types.catalog import CreateEntryGroupRequest
-from .types.catalog import CreateEntryRequest
-from .types.catalog import CreateEntryTypeRequest
-from .types.catalog import CreateMetadataJobRequest
-from .types.catalog import DeleteAspectTypeRequest
-from .types.catalog import DeleteEntryGroupRequest
-from .types.catalog import DeleteEntryRequest
-from .types.catalog import DeleteEntryTypeRequest
-from .types.catalog import Entry
-from .types.catalog import EntryGroup
-from .types.catalog import EntrySource
-from .types.catalog import EntryType
-from .types.catalog import GetAspectTypeRequest
-from .types.catalog import GetEntryGroupRequest
-from .types.catalog import GetEntryRequest
-from .types.catalog import GetEntryTypeRequest
-from .types.catalog import GetMetadataJobRequest
-from .types.catalog import ImportItem
-from .types.catalog import ListAspectTypesRequest
-from .types.catalog import ListAspectTypesResponse
-from .types.catalog import ListEntriesRequest
-from .types.catalog import ListEntriesResponse
-from .types.catalog import ListEntryGroupsRequest
-from .types.catalog import ListEntryGroupsResponse
-from .types.catalog import ListEntryTypesRequest
-from .types.catalog import ListEntryTypesResponse
-from .types.catalog import ListMetadataJobsRequest
-from .types.catalog import ListMetadataJobsResponse
-from .types.catalog import LookupEntryRequest
-from .types.catalog import MetadataJob
-from .types.catalog import SearchEntriesRequest
-from .types.catalog import SearchEntriesResponse
-from .types.catalog import SearchEntriesResult
-from .types.catalog import UpdateAspectTypeRequest
-from .types.catalog import UpdateEntryGroupRequest
-from .types.catalog import UpdateEntryRequest
-from .types.catalog import UpdateEntryTypeRequest
-from .types.catalog import EntryView
-from .types.catalog import TransferStatus
-from .types.content import CreateContentRequest
-from .types.content import DeleteContentRequest
-from .types.content import GetContentRequest
-from .types.content import ListContentRequest
-from .types.content import ListContentResponse
-from .types.content import UpdateContentRequest
-from .types.data_discovery import DataDiscoveryResult
-from .types.data_discovery import DataDiscoverySpec
-from .types.data_profile import DataProfileResult
-from .types.data_profile import DataProfileSpec
-from .types.data_quality import DataQualityColumnResult
-from .types.data_quality import DataQualityDimension
-from .types.data_quality import DataQualityDimensionResult
-from .types.data_quality import DataQualityResult
-from .types.data_quality import DataQualityRule
-from .types.data_quality import DataQualityRuleResult
-from .types.data_quality import DataQualitySpec
-from .types.data_taxonomy import CreateDataAttributeBindingRequest
-from .types.data_taxonomy import CreateDataAttributeRequest
-from .types.data_taxonomy import CreateDataTaxonomyRequest
-from .types.data_taxonomy import DataAttribute
-from .types.data_taxonomy import DataAttributeBinding
-from .types.data_taxonomy import DataTaxonomy
-from .types.data_taxonomy import DeleteDataAttributeBindingRequest
-from .types.data_taxonomy import DeleteDataAttributeRequest
-from .types.data_taxonomy import DeleteDataTaxonomyRequest
-from .types.data_taxonomy import GetDataAttributeBindingRequest
-from .types.data_taxonomy import GetDataAttributeRequest
-from .types.data_taxonomy import GetDataTaxonomyRequest
-from .types.data_taxonomy import ListDataAttributeBindingsRequest
-from .types.data_taxonomy import ListDataAttributeBindingsResponse
-from .types.data_taxonomy import ListDataAttributesRequest
-from .types.data_taxonomy import ListDataAttributesResponse
-from .types.data_taxonomy import ListDataTaxonomiesRequest
-from .types.data_taxonomy import ListDataTaxonomiesResponse
-from .types.data_taxonomy import UpdateDataAttributeBindingRequest
-from .types.data_taxonomy import UpdateDataAttributeRequest
-from .types.data_taxonomy import UpdateDataTaxonomyRequest
-from .types.datascans import CreateDataScanRequest
-from .types.datascans import DataScan
-from .types.datascans import DataScanJob
-from .types.datascans import DeleteDataScanRequest
-from .types.datascans import GenerateDataQualityRulesRequest
-from .types.datascans import GenerateDataQualityRulesResponse
-from .types.datascans import GetDataScanJobRequest
-from .types.datascans import GetDataScanRequest
-from .types.datascans import ListDataScanJobsRequest
-from .types.datascans import ListDataScanJobsResponse
-from .types.datascans import ListDataScansRequest
-from .types.datascans import ListDataScansResponse
-from .types.datascans import RunDataScanRequest
-from .types.datascans import RunDataScanResponse
-from .types.datascans import UpdateDataScanRequest
-from .types.datascans import DataScanType
-from .types.logs import DataQualityScanRuleResult
-from .types.logs import DataScanEvent
-from .types.logs import DiscoveryEvent
-from .types.logs import GovernanceEvent
-from .types.logs import JobEvent
-from .types.logs import SessionEvent
-from .types.metadata_ import CreateEntityRequest
-from .types.metadata_ import CreatePartitionRequest
-from .types.metadata_ import DeleteEntityRequest
-from .types.metadata_ import DeletePartitionRequest
-from .types.metadata_ import Entity
-from .types.metadata_ import GetEntityRequest
-from .types.metadata_ import GetPartitionRequest
-from .types.metadata_ import ListEntitiesRequest
-from .types.metadata_ import ListEntitiesResponse
-from .types.metadata_ import ListPartitionsRequest
-from .types.metadata_ import ListPartitionsResponse
-from .types.metadata_ import Partition
-from .types.metadata_ import Schema
-from .types.metadata_ import StorageAccess
-from .types.metadata_ import StorageFormat
-from .types.metadata_ import UpdateEntityRequest
-from .types.metadata_ import StorageSystem
-from .types.processing import DataSource
-from .types.processing import ScannedData
-from .types.processing import Trigger
-from .types.resources import Action
-from .types.resources import Asset
-from .types.resources import AssetStatus
-from .types.resources import Lake
-from .types.resources import Zone
-from .types.resources import State
-from .types.security import DataAccessSpec
-from .types.security import ResourceAccessSpec
-from .types.service import CancelJobRequest
-from .types.service import CreateAssetRequest
-from .types.service import CreateEnvironmentRequest
-from .types.service import CreateLakeRequest
-from .types.service import CreateTaskRequest
-from .types.service import CreateZoneRequest
-from .types.service import DeleteAssetRequest
-from .types.service import DeleteEnvironmentRequest
-from .types.service import DeleteLakeRequest
-from .types.service import DeleteTaskRequest
-from .types.service import DeleteZoneRequest
-from .types.service import GetAssetRequest
-from .types.service import GetEnvironmentRequest
-from .types.service import GetJobRequest
-from .types.service import GetLakeRequest
-from .types.service import GetTaskRequest
-from .types.service import GetZoneRequest
-from .types.service import ListActionsResponse
-from .types.service import ListAssetActionsRequest
-from .types.service import ListAssetsRequest
-from .types.service import ListAssetsResponse
-from .types.service import ListEnvironmentsRequest
-from .types.service import ListEnvironmentsResponse
-from .types.service import ListJobsRequest
-from .types.service import ListJobsResponse
-from .types.service import ListLakeActionsRequest
-from .types.service import ListLakesRequest
-from .types.service import ListLakesResponse
-from .types.service import ListSessionsRequest
-from .types.service import ListSessionsResponse
-from .types.service import ListTasksRequest
-from .types.service import ListTasksResponse
-from .types.service import ListZoneActionsRequest
-from .types.service import ListZonesRequest
-from .types.service import ListZonesResponse
-from .types.service import OperationMetadata
-from .types.service import RunTaskRequest
-from .types.service import RunTaskResponse
-from .types.service import UpdateAssetRequest
-from .types.service import UpdateEnvironmentRequest
-from .types.service import UpdateLakeRequest
-from .types.service import UpdateTaskRequest
-from .types.service import UpdateZoneRequest
-from .types.tasks import Job
-from .types.tasks import Task
-
-__all__ = (
-    'CatalogServiceAsyncClient',
-    'ContentServiceAsyncClient',
-    'DataScanServiceAsyncClient',
-    'DataTaxonomyServiceAsyncClient',
-    'DataplexServiceAsyncClient',
-    'MetadataServiceAsyncClient',
-'Action',
-'Aspect',
-'AspectSource',
-'AspectType',
-'Asset',
-'AssetStatus',
-'CancelJobRequest',
-'CancelMetadataJobRequest',
-'CatalogServiceClient',
-'Content',
-'ContentServiceClient',
-'CreateAspectTypeRequest',
-'CreateAssetRequest',
-'CreateContentRequest',
-'CreateDataAttributeBindingRequest',
-'CreateDataAttributeRequest',
-'CreateDataScanRequest',
-'CreateDataTaxonomyRequest',
-'CreateEntityRequest',
-'CreateEntryGroupRequest',
-'CreateEntryRequest',
-'CreateEntryTypeRequest',
-'CreateEnvironmentRequest',
-'CreateLakeRequest',
-'CreateMetadataJobRequest',
-'CreatePartitionRequest',
-'CreateTaskRequest',
-'CreateZoneRequest',
-'DataAccessSpec',
-'DataAttribute',
-'DataAttributeBinding',
-'DataDiscoveryResult',
-'DataDiscoverySpec',
-'DataProfileResult',
-'DataProfileSpec',
-'DataQualityColumnResult',
-'DataQualityDimension',
-'DataQualityDimensionResult',
-'DataQualityResult',
-'DataQualityRule',
-'DataQualityRuleResult',
-'DataQualityScanRuleResult',
-'DataQualitySpec',
-'DataScan',
-'DataScanEvent',
-'DataScanJob',
-'DataScanServiceClient',
-'DataScanType',
-'DataSource',
-'DataTaxonomy',
-'DataTaxonomyServiceClient',
-'DataplexServiceClient',
-'DeleteAspectTypeRequest',
-'DeleteAssetRequest',
-'DeleteContentRequest',
-'DeleteDataAttributeBindingRequest',
-'DeleteDataAttributeRequest',
-'DeleteDataScanRequest',
-'DeleteDataTaxonomyRequest',
-'DeleteEntityRequest',
-'DeleteEntryGroupRequest',
-'DeleteEntryRequest',
-'DeleteEntryTypeRequest',
-'DeleteEnvironmentRequest',
-'DeleteLakeRequest',
-'DeletePartitionRequest',
-'DeleteTaskRequest',
-'DeleteZoneRequest',
-'DiscoveryEvent',
-'Entity',
-'Entry',
-'EntryGroup',
-'EntrySource',
-'EntryType',
-'EntryView',
-'Environment',
-'GenerateDataQualityRulesRequest',
-'GenerateDataQualityRulesResponse',
-'GetAspectTypeRequest',
-'GetAssetRequest',
-'GetContentRequest',
-'GetDataAttributeBindingRequest',
-'GetDataAttributeRequest',
-'GetDataScanJobRequest',
-'GetDataScanRequest',
-'GetDataTaxonomyRequest',
-'GetEntityRequest',
-'GetEntryGroupRequest',
-'GetEntryRequest',
-'GetEntryTypeRequest',
-'GetEnvironmentRequest',
-'GetJobRequest',
-'GetLakeRequest',
-'GetMetadataJobRequest',
-'GetPartitionRequest',
-'GetTaskRequest',
-'GetZoneRequest',
-'GovernanceEvent',
-'ImportItem',
-'Job',
-'JobEvent',
-'Lake',
-'ListActionsResponse',
-'ListAspectTypesRequest',
-'ListAspectTypesResponse',
-'ListAssetActionsRequest',
-'ListAssetsRequest',
-'ListAssetsResponse',
-'ListContentRequest',
-'ListContentResponse',
-'ListDataAttributeBindingsRequest',
-'ListDataAttributeBindingsResponse',
-'ListDataAttributesRequest',
-'ListDataAttributesResponse',
-'ListDataScanJobsRequest',
-'ListDataScanJobsResponse',
-'ListDataScansRequest',
-'ListDataScansResponse',
-'ListDataTaxonomiesRequest',
-'ListDataTaxonomiesResponse',
-'ListEntitiesRequest',
-'ListEntitiesResponse',
-'ListEntriesRequest',
-'ListEntriesResponse',
-'ListEntryGroupsRequest',
-'ListEntryGroupsResponse',
-'ListEntryTypesRequest',
-'ListEntryTypesResponse',
-'ListEnvironmentsRequest',
-'ListEnvironmentsResponse',
-'ListJobsRequest',
-'ListJobsResponse',
-'ListLakeActionsRequest',
-'ListLakesRequest',
-'ListLakesResponse',
-'ListMetadataJobsRequest',
-'ListMetadataJobsResponse',
-'ListPartitionsRequest',
-'ListPartitionsResponse',
-'ListSessionsRequest',
-'ListSessionsResponse',
-'ListTasksRequest',
-'ListTasksResponse',
-'ListZoneActionsRequest',
-'ListZonesRequest',
-'ListZonesResponse',
-'LookupEntryRequest',
-'MetadataJob',
-'MetadataServiceClient',
-'OperationMetadata',
-'Partition',
-'ResourceAccessSpec',
-'RunDataScanRequest',
-'RunDataScanResponse',
-'RunTaskRequest',
-'RunTaskResponse',
-'ScannedData',
-'Schema',
-'SearchEntriesRequest',
-'SearchEntriesResponse',
-'SearchEntriesResult',
-'Session',
-'SessionEvent',
-'State',
-'StorageAccess',
-'StorageFormat',
-'StorageSystem',
-'Task',
-'TransferStatus',
-'Trigger',
-'UpdateAspectTypeRequest',
-'UpdateAssetRequest',
-'UpdateContentRequest',
-'UpdateDataAttributeBindingRequest',
-'UpdateDataAttributeRequest',
-'UpdateDataScanRequest',
-'UpdateDataTaxonomyRequest',
-'UpdateEntityRequest',
-'UpdateEntryGroupRequest',
-'UpdateEntryRequest',
-'UpdateEntryTypeRequest',
-'UpdateEnvironmentRequest',
-'UpdateLakeRequest',
-'UpdateTaskRequest',
-'UpdateZoneRequest',
-'Zone',
-)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/gapic_metadata.json b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/gapic_metadata.json
deleted file mode 100644
index 9fb1150241c8..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/gapic_metadata.json
+++ /dev/null
@@ -1,1093 +0,0 @@
- {
-  "comment": "This file maps proto services/RPCs to the corresponding library clients/methods",
-  "language": "python",
-  "libraryPackage": "google.cloud.dataplex_v1",
-  "protoPackage": "google.cloud.dataplex.v1",
-  "schema": "1.0",
-  "services": {
-    "CatalogService": {
-      "clients": {
-        "grpc": {
-          "libraryClient": "CatalogServiceClient",
-          "rpcs": {
-            "CancelMetadataJob": {
-              "methods": [
-                "cancel_metadata_job"
-              ]
-            },
-            "CreateAspectType": {
-              "methods": [
-                "create_aspect_type"
-              ]
-            },
-            "CreateEntry": {
-              "methods": [
-                "create_entry"
-              ]
-            },
-            "CreateEntryGroup": {
-              "methods": [
-                "create_entry_group"
-              ]
-            },
-            "CreateEntryType": {
-              "methods": [
-                "create_entry_type"
-              ]
-            },
-            "CreateMetadataJob": {
-              "methods": [
-                "create_metadata_job"
-              ]
-            },
-            "DeleteAspectType": {
-              "methods": [
-                "delete_aspect_type"
-              ]
-            },
-            "DeleteEntry": {
-              "methods": [
-                "delete_entry"
-              ]
-            },
-            "DeleteEntryGroup": {
-              "methods": [
-                "delete_entry_group"
-              ]
-            },
-            "DeleteEntryType": {
-              "methods": [
-                "delete_entry_type"
-              ]
-            },
-            "GetAspectType": {
-              "methods": [
-                "get_aspect_type"
-              ]
-            },
-            "GetEntry": {
-              "methods": [
-                "get_entry"
-              ]
-            },
-            "GetEntryGroup": {
-              "methods": [
-                "get_entry_group"
-              ]
-            },
-            "GetEntryType": {
-              "methods": [
-                "get_entry_type"
-              ]
-            },
-            "GetMetadataJob": {
-              "methods": [
-                "get_metadata_job"
-              ]
-            },
-            "ListAspectTypes": {
-              "methods": [
-                "list_aspect_types"
-              ]
-            },
-            "ListEntries": {
-              "methods": [
-                "list_entries"
-              ]
-            },
-            "ListEntryGroups": {
-              "methods": [
-                "list_entry_groups"
-              ]
-            },
-            "ListEntryTypes": {
-              "methods": [
-                "list_entry_types"
-              ]
-            },
-            "ListMetadataJobs": {
-              "methods": [
-                "list_metadata_jobs"
-              ]
-            },
-            "LookupEntry": {
-              "methods": [
-                "lookup_entry"
-              ]
-            },
-            "SearchEntries": {
-              "methods": [
-                "search_entries"
-              ]
-            },
-            "UpdateAspectType": {
-              "methods": [
-                "update_aspect_type"
-              ]
-            },
-            "UpdateEntry": {
-              "methods": [
-                "update_entry"
-              ]
-            },
-            "UpdateEntryGroup": {
-              "methods": [
-                "update_entry_group"
-              ]
-            },
-            "UpdateEntryType": {
-              "methods": [
-                "update_entry_type"
-              ]
-            }
-          }
-        },
-        "grpc-async": {
-          "libraryClient": "CatalogServiceAsyncClient",
-          "rpcs": {
-            "CancelMetadataJob": {
-              "methods": [
-                "cancel_metadata_job"
-              ]
-            },
-            "CreateAspectType": {
-              "methods": [
-                "create_aspect_type"
-              ]
-            },
-            "CreateEntry": {
-              "methods": [
-                "create_entry"
-              ]
-            },
-            "CreateEntryGroup": {
-              "methods": [
-                "create_entry_group"
-              ]
-            },
-            "CreateEntryType": {
-              "methods": [
-                "create_entry_type"
-              ]
-            },
-            "CreateMetadataJob": {
-              "methods": [
-                "create_metadata_job"
-              ]
-            },
-            "DeleteAspectType": {
-              "methods": [
-                "delete_aspect_type"
-              ]
-            },
-            "DeleteEntry": {
-              "methods": [
-                "delete_entry"
-              ]
-            },
-            "DeleteEntryGroup": {
-              "methods": [
-                "delete_entry_group"
-              ]
-            },
-            "DeleteEntryType": {
-              "methods": [
-                "delete_entry_type"
-              ]
-            },
-            "GetAspectType": {
-              "methods": [
-                "get_aspect_type"
-              ]
-            },
-            "GetEntry": {
-              "methods": [
-                "get_entry"
-              ]
-            },
-            "GetEntryGroup": {
-              "methods": [
-                "get_entry_group"
-              ]
-            },
-            "GetEntryType": {
-              "methods": [
-                "get_entry_type"
-              ]
-            },
-            "GetMetadataJob": {
-              "methods": [
-                "get_metadata_job"
-              ]
-            },
-            "ListAspectTypes": {
-              "methods": [
-                "list_aspect_types"
-              ]
-            },
-            "ListEntries": {
-              "methods": [
-                "list_entries"
-              ]
-            },
-            "ListEntryGroups": {
-              "methods": [
-                "list_entry_groups"
-              ]
-            },
-            "ListEntryTypes": {
-              "methods": [
-                "list_entry_types"
-              ]
-            },
-            "ListMetadataJobs": {
-              "methods": [
-                "list_metadata_jobs"
-              ]
-            },
-            "LookupEntry": {
-              "methods": [
-                "lookup_entry"
-              ]
-            },
-            "SearchEntries": {
-              "methods": [
-                "search_entries"
-              ]
-            },
-            "UpdateAspectType": {
-              "methods": [
-                "update_aspect_type"
-              ]
-            },
-            "UpdateEntry": {
-              "methods": [
-                "update_entry"
-              ]
-            },
-            "UpdateEntryGroup": {
-              "methods": [
-                "update_entry_group"
-              ]
-            },
-            "UpdateEntryType": {
-              "methods": [
-                "update_entry_type"
-              ]
-            }
-          }
-        }
-      }
-    },
-    "ContentService": {
-      "clients": {
-        "grpc": {
-          "libraryClient": "ContentServiceClient",
-          "rpcs": {
-            "CreateContent": {
-              "methods": [
-                "create_content"
-              ]
-            },
-            "DeleteContent": {
-              "methods": [
-                "delete_content"
-              ]
-            },
-            "GetContent": {
-              "methods": [
-                "get_content"
-              ]
-            },
-            "GetIamPolicy": {
-              "methods": [
-                "get_iam_policy"
-              ]
-            },
-            "ListContent": {
-              "methods": [
-                "list_content"
-              ]
-            },
-            "SetIamPolicy": {
-              "methods": [
-                "set_iam_policy"
-              ]
-            },
-            "TestIamPermissions": {
-              "methods": [
-                "test_iam_permissions"
-              ]
-            },
-            "UpdateContent": {
-              "methods": [
-                "update_content"
-              ]
-            }
-          }
-        },
-        "grpc-async": {
-          "libraryClient": "ContentServiceAsyncClient",
-          "rpcs": {
-            "CreateContent": {
-              "methods": [
-                "create_content"
-              ]
-            },
-            "DeleteContent": {
-              "methods": [
-                "delete_content"
-              ]
-            },
-            "GetContent": {
-              "methods": [
-                "get_content"
-              ]
-            },
-            "GetIamPolicy": {
-              "methods": [
-                "get_iam_policy"
-              ]
-            },
-            "ListContent": {
-              "methods": [
-                "list_content"
-              ]
-            },
-            "SetIamPolicy": {
-              "methods": [
-                "set_iam_policy"
-              ]
-            },
-            "TestIamPermissions": {
-              "methods": [
-                "test_iam_permissions"
-              ]
-            },
-            "UpdateContent": {
-              "methods": [
-                "update_content"
-              ]
-            }
-          }
-        }
-      }
-    },
-    "DataScanService": {
-      "clients": {
-        "grpc": {
-          "libraryClient": "DataScanServiceClient",
-          "rpcs": {
-            "CreateDataScan": {
-              "methods": [
-                "create_data_scan"
-              ]
-            },
-            "DeleteDataScan": {
-              "methods": [
-                "delete_data_scan"
-              ]
-            },
-            "GenerateDataQualityRules": {
-              "methods": [
-                "generate_data_quality_rules"
-              ]
-            },
-            "GetDataScan": {
-              "methods": [
-                "get_data_scan"
-              ]
-            },
-            "GetDataScanJob": {
-              "methods": [
-                "get_data_scan_job"
-              ]
-            },
-            "ListDataScanJobs": {
-              "methods": [
-                "list_data_scan_jobs"
-              ]
-            },
-            "ListDataScans": {
-              "methods": [
-                "list_data_scans"
-              ]
-            },
-            "RunDataScan": {
-              "methods": [
-                "run_data_scan"
-              ]
-            },
-            "UpdateDataScan": {
-              "methods": [
-                "update_data_scan"
-              ]
-            }
-          }
-        },
-        "grpc-async": {
-          "libraryClient": "DataScanServiceAsyncClient",
-          "rpcs": {
-            "CreateDataScan": {
-              "methods": [
-                "create_data_scan"
-              ]
-            },
-            "DeleteDataScan": {
-              "methods": [
-                "delete_data_scan"
-              ]
-            },
-            "GenerateDataQualityRules": {
-              "methods": [
-                "generate_data_quality_rules"
-              ]
-            },
-            "GetDataScan": {
-              "methods": [
-                "get_data_scan"
-              ]
-            },
-            "GetDataScanJob": {
-              "methods": [
-                "get_data_scan_job"
-              ]
-            },
-            "ListDataScanJobs": {
-              "methods": [
-                "list_data_scan_jobs"
-              ]
-            },
-            "ListDataScans": {
-              "methods": [
-                "list_data_scans"
-              ]
-            },
-            "RunDataScan": {
-              "methods": [
-                "run_data_scan"
-              ]
-            },
-            "UpdateDataScan": {
-              "methods": [
-                "update_data_scan"
-              ]
-            }
-          }
-        }
-      }
-    },
-    "DataTaxonomyService": {
-      "clients": {
-        "grpc": {
-          "libraryClient": "DataTaxonomyServiceClient",
-          "rpcs": {
-            "CreateDataAttribute": {
-              "methods": [
-                "create_data_attribute"
-              ]
-            },
-            "CreateDataAttributeBinding": {
-              "methods": [
-                "create_data_attribute_binding"
-              ]
-            },
-            "CreateDataTaxonomy": {
-              "methods": [
-                "create_data_taxonomy"
-              ]
-            },
-            "DeleteDataAttribute": {
-              "methods": [
-                "delete_data_attribute"
-              ]
-            },
-            "DeleteDataAttributeBinding": {
-              "methods": [
-                "delete_data_attribute_binding"
-              ]
-            },
-            "DeleteDataTaxonomy": {
-              "methods": [
-                "delete_data_taxonomy"
-              ]
-            },
-            "GetDataAttribute": {
-              "methods": [
-                "get_data_attribute"
-              ]
-            },
-            "GetDataAttributeBinding": {
-              "methods": [
-                "get_data_attribute_binding"
-              ]
-            },
-            "GetDataTaxonomy": {
-              "methods": [
-                "get_data_taxonomy"
-              ]
-            },
-            "ListDataAttributeBindings": {
-              "methods": [
-                "list_data_attribute_bindings"
-              ]
-            },
-            "ListDataAttributes": {
-              "methods": [
-                "list_data_attributes"
-              ]
-            },
-            "ListDataTaxonomies": {
-              "methods": [
-                "list_data_taxonomies"
-              ]
-            },
-            "UpdateDataAttribute": {
-              "methods": [
-                "update_data_attribute"
-              ]
-            },
-            "UpdateDataAttributeBinding": {
-              "methods": [
-                "update_data_attribute_binding"
-              ]
-            },
-            "UpdateDataTaxonomy": {
-              "methods": [
-                "update_data_taxonomy"
-              ]
-            }
-          }
-        },
-        "grpc-async": {
-          "libraryClient": "DataTaxonomyServiceAsyncClient",
-          "rpcs": {
-            "CreateDataAttribute": {
-              "methods": [
-                "create_data_attribute"
-              ]
-            },
-            "CreateDataAttributeBinding": {
-              "methods": [
-                "create_data_attribute_binding"
-              ]
-            },
-            "CreateDataTaxonomy": {
-              "methods": [
-                "create_data_taxonomy"
-              ]
-            },
-            "DeleteDataAttribute": {
-              "methods": [
-                "delete_data_attribute"
-              ]
-            },
-            "DeleteDataAttributeBinding": {
-              "methods": [
-                "delete_data_attribute_binding"
-              ]
-            },
-            "DeleteDataTaxonomy": {
-              "methods": [
-                "delete_data_taxonomy"
-              ]
-            },
-            "GetDataAttribute": {
-              "methods": [
-                "get_data_attribute"
-              ]
-            },
-            "GetDataAttributeBinding": {
-              "methods": [
-                "get_data_attribute_binding"
-              ]
-            },
-            "GetDataTaxonomy": {
-              "methods": [
-                "get_data_taxonomy"
-              ]
-            },
-            "ListDataAttributeBindings": {
-              "methods": [
-                "list_data_attribute_bindings"
-              ]
-            },
-            "ListDataAttributes": {
-              "methods": [
-                "list_data_attributes"
-              ]
-            },
-            "ListDataTaxonomies": {
-              "methods": [
-                "list_data_taxonomies"
-              ]
-            },
-            "UpdateDataAttribute": {
-              "methods": [
-                "update_data_attribute"
-              ]
-            },
-            "UpdateDataAttributeBinding": {
-              "methods": [
-                "update_data_attribute_binding"
-              ]
-            },
-            "UpdateDataTaxonomy": {
-              "methods": [
-                "update_data_taxonomy"
-              ]
-            }
-          }
-        }
-      }
-    },
-    "DataplexService": {
-      "clients": {
-        "grpc": {
-          "libraryClient": "DataplexServiceClient",
-          "rpcs": {
-            "CancelJob": {
-              "methods": [
-                "cancel_job"
-              ]
-            },
-            "CreateAsset": {
-              "methods": [
-                "create_asset"
-              ]
-            },
-            "CreateEnvironment": {
-              "methods": [
-                "create_environment"
-              ]
-            },
-            "CreateLake": {
-              "methods": [
-                "create_lake"
-              ]
-            },
-            "CreateTask": {
-              "methods": [
-                "create_task"
-              ]
-            },
-            "CreateZone": {
-              "methods": [
-                "create_zone"
-              ]
-            },
-            "DeleteAsset": {
-              "methods": [
-                "delete_asset"
-              ]
-            },
-            "DeleteEnvironment": {
-              "methods": [
-                "delete_environment"
-              ]
-            },
-            "DeleteLake": {
-              "methods": [
-                "delete_lake"
-              ]
-            },
-            "DeleteTask": {
-              "methods": [
-                "delete_task"
-              ]
-            },
-            "DeleteZone": {
-              "methods": [
-                "delete_zone"
-              ]
-            },
-            "GetAsset": {
-              "methods": [
-                "get_asset"
-              ]
-            },
-            "GetEnvironment": {
-              "methods": [
-                "get_environment"
-              ]
-            },
-            "GetJob": {
-              "methods": [
-                "get_job"
-              ]
-            },
-            "GetLake": {
-              "methods": [
-                "get_lake"
-              ]
-            },
-            "GetTask": {
-              "methods": [
-                "get_task"
-              ]
-            },
-            "GetZone": {
-              "methods": [
-                "get_zone"
-              ]
-            },
-            "ListAssetActions": {
-              "methods": [
-                "list_asset_actions"
-              ]
-            },
-            "ListAssets": {
-              "methods": [
-                "list_assets"
-              ]
-            },
-            "ListEnvironments": {
-              "methods": [
-                "list_environments"
-              ]
-            },
-            "ListJobs": {
-              "methods": [
-                "list_jobs"
-              ]
-            },
-            "ListLakeActions": {
-              "methods": [
-                "list_lake_actions"
-              ]
-            },
-            "ListLakes": {
-              "methods": [
-                "list_lakes"
-              ]
-            },
-            "ListSessions": {
-              "methods": [
-                "list_sessions"
-              ]
-            },
-            "ListTasks": {
-              "methods": [
-                "list_tasks"
-              ]
-            },
-            "ListZoneActions": {
-              "methods": [
-                "list_zone_actions"
-              ]
-            },
-            "ListZones": {
-              "methods": [
-                "list_zones"
-              ]
-            },
-            "RunTask": {
-              "methods": [
-                "run_task"
-              ]
-            },
-            "UpdateAsset": {
-              "methods": [
-                "update_asset"
-              ]
-            },
-            "UpdateEnvironment": {
-              "methods": [
-                "update_environment"
-              ]
-            },
-            "UpdateLake": {
-              "methods": [
-                "update_lake"
-              ]
-            },
-            "UpdateTask": {
-              "methods": [
-                "update_task"
-              ]
-            },
-            "UpdateZone": {
-              "methods": [
-                "update_zone"
-              ]
-            }
-          }
-        },
-        "grpc-async": {
-          "libraryClient": "DataplexServiceAsyncClient",
-          "rpcs": {
-            "CancelJob": {
-              "methods": [
-                "cancel_job"
-              ]
-            },
-            "CreateAsset": {
-              "methods": [
-                "create_asset"
-              ]
-            },
-            "CreateEnvironment": {
-              "methods": [
-                "create_environment"
-              ]
-            },
-            "CreateLake": {
-              "methods": [
-                "create_lake"
-              ]
-            },
-            "CreateTask": {
-              "methods": [
-                "create_task"
-              ]
-            },
-            "CreateZone": {
-              "methods": [
-                "create_zone"
-              ]
-            },
-            "DeleteAsset": {
-              "methods": [
-                "delete_asset"
-              ]
-            },
-            "DeleteEnvironment": {
-              "methods": [
-                "delete_environment"
-              ]
-            },
-            "DeleteLake": {
-              "methods": [
-                "delete_lake"
-              ]
-            },
-            "DeleteTask": {
-              "methods": [
-                "delete_task"
-              ]
-            },
-            "DeleteZone": {
-              "methods": [
-                "delete_zone"
-              ]
-            },
-            "GetAsset": {
-              "methods": [
-                "get_asset"
-              ]
-            },
-            "GetEnvironment": {
-              "methods": [
-                "get_environment"
-              ]
-            },
-            "GetJob": {
-              "methods": [
-                "get_job"
-              ]
-            },
-            "GetLake": {
-              "methods": [
-                "get_lake"
-              ]
-            },
-            "GetTask": {
-              "methods": [
-                "get_task"
-              ]
-            },
-            "GetZone": {
-              "methods": [
-                "get_zone"
-              ]
-            },
-            "ListAssetActions": {
-              "methods": [
-                "list_asset_actions"
-              ]
-            },
-            "ListAssets": {
-              "methods": [
-                "list_assets"
-              ]
-            },
-            "ListEnvironments": {
-              "methods": [
-                "list_environments"
-              ]
-            },
-            "ListJobs": {
-              "methods": [
-                "list_jobs"
-              ]
-            },
-            "ListLakeActions": {
-              "methods": [
-                "list_lake_actions"
-              ]
-            },
-            "ListLakes": {
-              "methods": [
-                "list_lakes"
-              ]
-            },
-            "ListSessions": {
-              "methods": [
-                "list_sessions"
-              ]
-            },
-            "ListTasks": {
-              "methods": [
-                "list_tasks"
-              ]
-            },
-            "ListZoneActions": {
-              "methods": [
-                "list_zone_actions"
-              ]
-            },
-            "ListZones": {
-              "methods": [
-                "list_zones"
-              ]
-            },
-            "RunTask": {
-              "methods": [
-                "run_task"
-              ]
-            },
-            "UpdateAsset": {
-              "methods": [
-                "update_asset"
-              ]
-            },
-            "UpdateEnvironment": {
-              "methods": [
-                "update_environment"
-              ]
-            },
-            "UpdateLake": {
-              "methods": [
-                "update_lake"
-              ]
-            },
-            "UpdateTask": {
-              "methods": [
-                "update_task"
-              ]
-            },
-            "UpdateZone": {
-              "methods": [
-                "update_zone"
-              ]
-            }
-          }
-        }
-      }
-    },
-    "MetadataService": {
-      "clients": {
-        "grpc": {
-          "libraryClient": "MetadataServiceClient",
-          "rpcs": {
-            "CreateEntity": {
-              "methods": [
-                "create_entity"
-              ]
-            },
-            "CreatePartition": {
-              "methods": [
-                "create_partition"
-              ]
-            },
-            "DeleteEntity": {
-              "methods": [
-                "delete_entity"
-              ]
-            },
-            "DeletePartition": {
-              "methods": [
-                "delete_partition"
-              ]
-            },
-            "GetEntity": {
-              "methods": [
-                "get_entity"
-              ]
-            },
-            "GetPartition": {
-              "methods": [
-                "get_partition"
-              ]
-            },
-            "ListEntities": {
-              "methods": [
-                "list_entities"
-              ]
-            },
-            "ListPartitions": {
-              "methods": [
-                "list_partitions"
-              ]
-            },
-            "UpdateEntity": {
-              "methods": [
-                "update_entity"
-              ]
-            }
-          }
-        },
-        "grpc-async": {
-          "libraryClient": "MetadataServiceAsyncClient",
-          "rpcs": {
-            "CreateEntity": {
-              "methods": [
-                "create_entity"
-              ]
-            },
-            "CreatePartition": {
-              "methods": [
-                "create_partition"
-              ]
-            },
-            "DeleteEntity": {
-              "methods": [
-                "delete_entity"
-              ]
-            },
-            "DeletePartition": {
-              "methods": [
-                "delete_partition"
-              ]
-            },
-            "GetEntity": {
-              "methods": [
-                "get_entity"
-              ]
-            },
-            "GetPartition": {
-              "methods": [
-                "get_partition"
-              ]
-            },
-            "ListEntities": {
-              "methods": [
-                "list_entities"
-              ]
-            },
-            "ListPartitions": {
-              "methods": [
-                "list_partitions"
-              ]
-            },
-            "UpdateEntity": {
-              "methods": [
-                "update_entity"
-              ]
-            }
-          }
-        }
-      }
-    }
-  }
-}
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/gapic_version.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/gapic_version.py
deleted file mode 100644
index 558c8aab67c5..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/gapic_version.py
+++ /dev/null
@@ -1,16 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-__version__ = "0.0.0"  # {x-release-please-version}
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/py.typed b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/py.typed
deleted file mode 100644
index c932c263028e..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/py.typed
+++ /dev/null
@@ -1,2 +0,0 @@
-# Marker file for PEP 561.
-# The google-cloud-dataplex package uses inline types.
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/__init__.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/__init__.py
deleted file mode 100644
index 8f6cf068242c..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/__init__.py
+++ /dev/null
@@ -1,15 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/catalog_service/__init__.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/catalog_service/__init__.py
deleted file mode 100644
index 91f4e026ba8c..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/catalog_service/__init__.py
+++ /dev/null
@@ -1,22 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from .client import CatalogServiceClient
-from .async_client import CatalogServiceAsyncClient
-
-__all__ = (
-    'CatalogServiceClient',
-    'CatalogServiceAsyncClient',
-)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/catalog_service/async_client.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/catalog_service/async_client.py
deleted file mode 100644
index dfe5af31637d..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/catalog_service/async_client.py
+++ /dev/null
@@ -1,3652 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from collections import OrderedDict
-import re
-from typing import Dict, Callable, Mapping, MutableMapping, MutableSequence, Optional, Sequence, Tuple, Type, Union
-
-from google.cloud.dataplex_v1 import gapic_version as package_version
-
-from google.api_core.client_options import ClientOptions
-from google.api_core import exceptions as core_exceptions
-from google.api_core import gapic_v1
-from google.api_core import retry_async as retries
-from google.auth import credentials as ga_credentials   # type: ignore
-from google.oauth2 import service_account              # type: ignore
-
-
-try:
-    OptionalRetry = Union[retries.AsyncRetry, gapic_v1.method._MethodDefault, None]
-except AttributeError:  # pragma: NO COVER
-    OptionalRetry = Union[retries.AsyncRetry, object, None]  # type: ignore
-
-from google.api_core import operation  # type: ignore
-from google.api_core import operation_async  # type: ignore
-from google.cloud.dataplex_v1.services.catalog_service import pagers
-from google.cloud.dataplex_v1.types import catalog
-from google.cloud.dataplex_v1.types import service
-from google.cloud.location import locations_pb2 # type: ignore
-from google.iam.v1 import iam_policy_pb2  # type: ignore
-from google.iam.v1 import policy_pb2  # type: ignore
-from google.longrunning import operations_pb2 # type: ignore
-from google.protobuf import empty_pb2  # type: ignore
-from google.protobuf import field_mask_pb2  # type: ignore
-from google.protobuf import timestamp_pb2  # type: ignore
-from .transports.base import CatalogServiceTransport, DEFAULT_CLIENT_INFO
-from .transports.grpc_asyncio import CatalogServiceGrpcAsyncIOTransport
-from .client import CatalogServiceClient
-
-
-class CatalogServiceAsyncClient:
-    """The primary resources offered by this service are
-    EntryGroups, EntryTypes, AspectTypes, and Entries. They
-    collectively let data administrators organize, manage, secure,
-    and catalog data located across cloud projects in their
-    organization in a variety of storage systems, including Cloud
-    Storage and BigQuery.
-    """
-
-    _client: CatalogServiceClient
-
-    # Copy defaults from the synchronous client for use here.
-    # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead.
-    DEFAULT_ENDPOINT = CatalogServiceClient.DEFAULT_ENDPOINT
-    DEFAULT_MTLS_ENDPOINT = CatalogServiceClient.DEFAULT_MTLS_ENDPOINT
-    _DEFAULT_ENDPOINT_TEMPLATE = CatalogServiceClient._DEFAULT_ENDPOINT_TEMPLATE
-    _DEFAULT_UNIVERSE = CatalogServiceClient._DEFAULT_UNIVERSE
-
-    aspect_type_path = staticmethod(CatalogServiceClient.aspect_type_path)
-    parse_aspect_type_path = staticmethod(CatalogServiceClient.parse_aspect_type_path)
-    entry_path = staticmethod(CatalogServiceClient.entry_path)
-    parse_entry_path = staticmethod(CatalogServiceClient.parse_entry_path)
-    entry_group_path = staticmethod(CatalogServiceClient.entry_group_path)
-    parse_entry_group_path = staticmethod(CatalogServiceClient.parse_entry_group_path)
-    entry_type_path = staticmethod(CatalogServiceClient.entry_type_path)
-    parse_entry_type_path = staticmethod(CatalogServiceClient.parse_entry_type_path)
-    metadata_job_path = staticmethod(CatalogServiceClient.metadata_job_path)
-    parse_metadata_job_path = staticmethod(CatalogServiceClient.parse_metadata_job_path)
-    common_billing_account_path = staticmethod(CatalogServiceClient.common_billing_account_path)
-    parse_common_billing_account_path = staticmethod(CatalogServiceClient.parse_common_billing_account_path)
-    common_folder_path = staticmethod(CatalogServiceClient.common_folder_path)
-    parse_common_folder_path = staticmethod(CatalogServiceClient.parse_common_folder_path)
-    common_organization_path = staticmethod(CatalogServiceClient.common_organization_path)
-    parse_common_organization_path = staticmethod(CatalogServiceClient.parse_common_organization_path)
-    common_project_path = staticmethod(CatalogServiceClient.common_project_path)
-    parse_common_project_path = staticmethod(CatalogServiceClient.parse_common_project_path)
-    common_location_path = staticmethod(CatalogServiceClient.common_location_path)
-    parse_common_location_path = staticmethod(CatalogServiceClient.parse_common_location_path)
-
-    @classmethod
-    def from_service_account_info(cls, info: dict, *args, **kwargs):
-        """Creates an instance of this client using the provided credentials
-            info.
-
-        Args:
-            info (dict): The service account private key info.
-            args: Additional arguments to pass to the constructor.
-            kwargs: Additional arguments to pass to the constructor.
-
-        Returns:
-            CatalogServiceAsyncClient: The constructed client.
-        """
-        return CatalogServiceClient.from_service_account_info.__func__(CatalogServiceAsyncClient, info, *args, **kwargs)  # type: ignore
-
-    @classmethod
-    def from_service_account_file(cls, filename: str, *args, **kwargs):
-        """Creates an instance of this client using the provided credentials
-            file.
-
-        Args:
-            filename (str): The path to the service account private key json
-                file.
-            args: Additional arguments to pass to the constructor.
-            kwargs: Additional arguments to pass to the constructor.
-
-        Returns:
-            CatalogServiceAsyncClient: The constructed client.
-        """
-        return CatalogServiceClient.from_service_account_file.__func__(CatalogServiceAsyncClient, filename, *args, **kwargs)  # type: ignore
-
-    from_service_account_json = from_service_account_file
-
-    @classmethod
-    def get_mtls_endpoint_and_cert_source(cls, client_options: Optional[ClientOptions] = None):
-        """Return the API endpoint and client cert source for mutual TLS.
-
-        The client cert source is determined in the following order:
-        (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the
-        client cert source is None.
-        (2) if `client_options.client_cert_source` is provided, use the provided one; if the
-        default client cert source exists, use the default one; otherwise the client cert
-        source is None.
-
-        The API endpoint is determined in the following order:
-        (1) if `client_options.api_endpoint` if provided, use the provided one.
-        (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the
-        default mTLS endpoint; if the environment variable is "never", use the default API
-        endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise
-        use the default API endpoint.
-
-        More details can be found at https://google.aip.dev/auth/4114.
-
-        Args:
-            client_options (google.api_core.client_options.ClientOptions): Custom options for the
-                client. Only the `api_endpoint` and `client_cert_source` properties may be used
-                in this method.
-
-        Returns:
-            Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the
-                client cert source to use.
-
-        Raises:
-            google.auth.exceptions.MutualTLSChannelError: If any errors happen.
-        """
-        return CatalogServiceClient.get_mtls_endpoint_and_cert_source(client_options)  # type: ignore
-
-    @property
-    def transport(self) -> CatalogServiceTransport:
-        """Returns the transport used by the client instance.
-
-        Returns:
-            CatalogServiceTransport: The transport used by the client instance.
-        """
-        return self._client.transport
-
-    @property
-    def api_endpoint(self):
-        """Return the API endpoint used by the client instance.
-
-        Returns:
-            str: The API endpoint used by the client instance.
-        """
-        return self._client._api_endpoint
-
-    @property
-    def universe_domain(self) -> str:
-        """Return the universe domain used by the client instance.
-
-        Returns:
-            str: The universe domain used
-                by the client instance.
-        """
-        return self._client._universe_domain
-
-    get_transport_class = CatalogServiceClient.get_transport_class
-
-    def __init__(self, *,
-            credentials: Optional[ga_credentials.Credentials] = None,
-            transport: Optional[Union[str, CatalogServiceTransport, Callable[..., CatalogServiceTransport]]] = "grpc_asyncio",
-            client_options: Optional[ClientOptions] = None,
-            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-            ) -> None:
-        """Instantiates the catalog service async client.
-
-        Args:
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-            transport (Optional[Union[str,CatalogServiceTransport,Callable[..., CatalogServiceTransport]]]):
-                The transport to use, or a Callable that constructs and returns a new transport to use.
-                If a Callable is given, it will be called with the same set of initialization
-                arguments as used in the CatalogServiceTransport constructor.
-                If set to None, a transport is chosen automatically.
-            client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]):
-                Custom options for the client.
-
-                1. The ``api_endpoint`` property can be used to override the
-                default endpoint provided by the client when ``transport`` is
-                not explicitly provided. Only if this property is not set and
-                ``transport`` was not explicitly provided, the endpoint is
-                determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment
-                variable, which have one of the following values:
-                "always" (always use the default mTLS endpoint), "never" (always
-                use the default regular endpoint) and "auto" (auto-switch to the
-                default mTLS endpoint if client certificate is present; this is
-                the default value).
-
-                2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable
-                is "true", then the ``client_cert_source`` property can be used
-                to provide a client certificate for mTLS transport. If
-                not provided, the default SSL client certificate will be used if
-                present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not
-                set, no client certificate will be used.
-
-                3. The ``universe_domain`` property can be used to override the
-                default "googleapis.com" universe. Note that ``api_endpoint``
-                property still takes precedence; and ``universe_domain`` is
-                currently not supported for mTLS.
-
-            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
-                The client info used to send a user-agent string along with
-                API requests. If ``None``, then default info will be used.
-                Generally, you only need to set this if you're developing
-                your own client library.
-
-        Raises:
-            google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport
-                creation failed for any reason.
-        """
-        self._client = CatalogServiceClient(
-            credentials=credentials,
-            transport=transport,
-            client_options=client_options,
-            client_info=client_info,
-
-        )
-
-    async def create_entry_type(self,
-            request: Optional[Union[catalog.CreateEntryTypeRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            entry_type: Optional[catalog.EntryType] = None,
-            entry_type_id: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation_async.AsyncOperation:
-        r"""Creates an EntryType.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_create_entry_type():
-                # Create a client
-                client = dataplex_v1.CatalogServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.CreateEntryTypeRequest(
-                    parent="parent_value",
-                    entry_type_id="entry_type_id_value",
-                )
-
-                # Make the request
-                operation = client.create_entry_type(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = (await operation).result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.CreateEntryTypeRequest, dict]]):
-                The request object. Create EntryType Request.
-            parent (:class:`str`):
-                Required. The resource name of the EntryType, of the
-                form: projects/{project_number}/locations/{location_id}
-                where ``location_id`` refers to a Google Cloud region.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            entry_type (:class:`google.cloud.dataplex_v1.types.EntryType`):
-                Required. EntryType Resource.
-                This corresponds to the ``entry_type`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            entry_type_id (:class:`str`):
-                Required. EntryType identifier.
-                This corresponds to the ``entry_type_id`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation_async.AsyncOperation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be
-                :class:`google.cloud.dataplex_v1.types.EntryType` Entry
-                Type is a template for creating Entries.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent, entry_type, entry_type_id])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, catalog.CreateEntryTypeRequest):
-            request = catalog.CreateEntryTypeRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if parent is not None:
-            request.parent = parent
-        if entry_type is not None:
-            request.entry_type = entry_type
-        if entry_type_id is not None:
-            request.entry_type_id = entry_type_id
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.create_entry_type]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation_async.from_gapic(
-            response,
-            self._client._transport.operations_client,
-            catalog.EntryType,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def update_entry_type(self,
-            request: Optional[Union[catalog.UpdateEntryTypeRequest, dict]] = None,
-            *,
-            entry_type: Optional[catalog.EntryType] = None,
-            update_mask: Optional[field_mask_pb2.FieldMask] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation_async.AsyncOperation:
-        r"""Updates an EntryType.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_update_entry_type():
-                # Create a client
-                client = dataplex_v1.CatalogServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.UpdateEntryTypeRequest(
-                )
-
-                # Make the request
-                operation = client.update_entry_type(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = (await operation).result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.UpdateEntryTypeRequest, dict]]):
-                The request object. Update EntryType Request.
-            entry_type (:class:`google.cloud.dataplex_v1.types.EntryType`):
-                Required. EntryType Resource.
-                This corresponds to the ``entry_type`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`):
-                Required. Mask of fields to update.
-                This corresponds to the ``update_mask`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation_async.AsyncOperation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be
-                :class:`google.cloud.dataplex_v1.types.EntryType` Entry
-                Type is a template for creating Entries.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([entry_type, update_mask])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, catalog.UpdateEntryTypeRequest):
-            request = catalog.UpdateEntryTypeRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if entry_type is not None:
-            request.entry_type = entry_type
-        if update_mask is not None:
-            request.update_mask = update_mask
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.update_entry_type]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("entry_type.name", request.entry_type.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation_async.from_gapic(
-            response,
-            self._client._transport.operations_client,
-            catalog.EntryType,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def delete_entry_type(self,
-            request: Optional[Union[catalog.DeleteEntryTypeRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation_async.AsyncOperation:
-        r"""Deletes an EntryType.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_delete_entry_type():
-                # Create a client
-                client = dataplex_v1.CatalogServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.DeleteEntryTypeRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                operation = client.delete_entry_type(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = (await operation).result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.DeleteEntryTypeRequest, dict]]):
-                The request object. Delele EntryType Request.
-            name (:class:`str`):
-                Required. The resource name of the EntryType:
-                ``projects/{project_number}/locations/{location_id}/entryTypes/{entry_type_id}``.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation_async.AsyncOperation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
-                   empty messages in your APIs. A typical example is to
-                   use it as the request or the response type of an API
-                   method. For instance:
-
-                      service Foo {
-                         rpc Bar(google.protobuf.Empty) returns
-                         (google.protobuf.Empty);
-
-                      }
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, catalog.DeleteEntryTypeRequest):
-            request = catalog.DeleteEntryTypeRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.delete_entry_type]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation_async.from_gapic(
-            response,
-            self._client._transport.operations_client,
-            empty_pb2.Empty,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def list_entry_types(self,
-            request: Optional[Union[catalog.ListEntryTypesRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> pagers.ListEntryTypesAsyncPager:
-        r"""Lists EntryType resources in a project and location.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_list_entry_types():
-                # Create a client
-                client = dataplex_v1.CatalogServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.ListEntryTypesRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_entry_types(request=request)
-
-                # Handle the response
-                async for response in page_result:
-                    print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.ListEntryTypesRequest, dict]]):
-                The request object. List EntryTypes request
-            parent (:class:`str`):
-                Required. The resource name of the EntryType location,
-                of the form:
-                ``projects/{project_number}/locations/{location_id}``
-                where ``location_id`` refers to a Google Cloud region.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.services.catalog_service.pagers.ListEntryTypesAsyncPager:
-                List EntryTypes response.
-
-                Iterating over this object will yield
-                results and resolve additional pages
-                automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, catalog.ListEntryTypesRequest):
-            request = catalog.ListEntryTypesRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if parent is not None:
-            request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.list_entry_types]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__aiter__` convenience method.
-        response = pagers.ListEntryTypesAsyncPager(
-            method=rpc,
-            request=request,
-            response=response,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def get_entry_type(self,
-            request: Optional[Union[catalog.GetEntryTypeRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> catalog.EntryType:
-        r"""Gets an EntryType.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_get_entry_type():
-                # Create a client
-                client = dataplex_v1.CatalogServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.GetEntryTypeRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = await client.get_entry_type(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.GetEntryTypeRequest, dict]]):
-                The request object. Get EntryType request.
-            name (:class:`str`):
-                Required. The resource name of the EntryType:
-                ``projects/{project_number}/locations/{location_id}/entryTypes/{entry_type_id}``.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.EntryType:
-                Entry Type is a template for creating
-                Entries.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, catalog.GetEntryTypeRequest):
-            request = catalog.GetEntryTypeRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.get_entry_type]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def create_aspect_type(self,
-            request: Optional[Union[catalog.CreateAspectTypeRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            aspect_type: Optional[catalog.AspectType] = None,
-            aspect_type_id: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation_async.AsyncOperation:
-        r"""Creates an AspectType.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_create_aspect_type():
-                # Create a client
-                client = dataplex_v1.CatalogServiceAsyncClient()
-
-                # Initialize request argument(s)
-                aspect_type = dataplex_v1.AspectType()
-                aspect_type.metadata_template.name = "name_value"
-                aspect_type.metadata_template.type_ = "type__value"
-
-                request = dataplex_v1.CreateAspectTypeRequest(
-                    parent="parent_value",
-                    aspect_type_id="aspect_type_id_value",
-                    aspect_type=aspect_type,
-                )
-
-                # Make the request
-                operation = client.create_aspect_type(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = (await operation).result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.CreateAspectTypeRequest, dict]]):
-                The request object. Create AspectType Request.
-            parent (:class:`str`):
-                Required. The resource name of the AspectType, of the
-                form: projects/{project_number}/locations/{location_id}
-                where ``location_id`` refers to a Google Cloud region.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            aspect_type (:class:`google.cloud.dataplex_v1.types.AspectType`):
-                Required. AspectType Resource.
-                This corresponds to the ``aspect_type`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            aspect_type_id (:class:`str`):
-                Required. AspectType identifier.
-                This corresponds to the ``aspect_type_id`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation_async.AsyncOperation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.AspectType` AspectType is a template for creating Aspects, and represents the
-                   JSON-schema for a given Entry, for example, BigQuery
-                   Table Schema.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent, aspect_type, aspect_type_id])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, catalog.CreateAspectTypeRequest):
-            request = catalog.CreateAspectTypeRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if parent is not None:
-            request.parent = parent
-        if aspect_type is not None:
-            request.aspect_type = aspect_type
-        if aspect_type_id is not None:
-            request.aspect_type_id = aspect_type_id
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.create_aspect_type]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation_async.from_gapic(
-            response,
-            self._client._transport.operations_client,
-            catalog.AspectType,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def update_aspect_type(self,
-            request: Optional[Union[catalog.UpdateAspectTypeRequest, dict]] = None,
-            *,
-            aspect_type: Optional[catalog.AspectType] = None,
-            update_mask: Optional[field_mask_pb2.FieldMask] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation_async.AsyncOperation:
-        r"""Updates an AspectType.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_update_aspect_type():
-                # Create a client
-                client = dataplex_v1.CatalogServiceAsyncClient()
-
-                # Initialize request argument(s)
-                aspect_type = dataplex_v1.AspectType()
-                aspect_type.metadata_template.name = "name_value"
-                aspect_type.metadata_template.type_ = "type__value"
-
-                request = dataplex_v1.UpdateAspectTypeRequest(
-                    aspect_type=aspect_type,
-                )
-
-                # Make the request
-                operation = client.update_aspect_type(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = (await operation).result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.UpdateAspectTypeRequest, dict]]):
-                The request object. Update AspectType Request
-            aspect_type (:class:`google.cloud.dataplex_v1.types.AspectType`):
-                Required. AspectType Resource
-                This corresponds to the ``aspect_type`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`):
-                Required. Mask of fields to update.
-                This corresponds to the ``update_mask`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation_async.AsyncOperation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.AspectType` AspectType is a template for creating Aspects, and represents the
-                   JSON-schema for a given Entry, for example, BigQuery
-                   Table Schema.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([aspect_type, update_mask])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, catalog.UpdateAspectTypeRequest):
-            request = catalog.UpdateAspectTypeRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if aspect_type is not None:
-            request.aspect_type = aspect_type
-        if update_mask is not None:
-            request.update_mask = update_mask
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.update_aspect_type]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("aspect_type.name", request.aspect_type.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation_async.from_gapic(
-            response,
-            self._client._transport.operations_client,
-            catalog.AspectType,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def delete_aspect_type(self,
-            request: Optional[Union[catalog.DeleteAspectTypeRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation_async.AsyncOperation:
-        r"""Deletes an AspectType.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_delete_aspect_type():
-                # Create a client
-                client = dataplex_v1.CatalogServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.DeleteAspectTypeRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                operation = client.delete_aspect_type(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = (await operation).result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.DeleteAspectTypeRequest, dict]]):
-                The request object. Delele AspectType Request.
-            name (:class:`str`):
-                Required. The resource name of the AspectType:
-                ``projects/{project_number}/locations/{location_id}/aspectTypes/{aspect_type_id}``.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation_async.AsyncOperation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
-                   empty messages in your APIs. A typical example is to
-                   use it as the request or the response type of an API
-                   method. For instance:
-
-                      service Foo {
-                         rpc Bar(google.protobuf.Empty) returns
-                         (google.protobuf.Empty);
-
-                      }
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, catalog.DeleteAspectTypeRequest):
-            request = catalog.DeleteAspectTypeRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.delete_aspect_type]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation_async.from_gapic(
-            response,
-            self._client._transport.operations_client,
-            empty_pb2.Empty,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def list_aspect_types(self,
-            request: Optional[Union[catalog.ListAspectTypesRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> pagers.ListAspectTypesAsyncPager:
-        r"""Lists AspectType resources in a project and location.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_list_aspect_types():
-                # Create a client
-                client = dataplex_v1.CatalogServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.ListAspectTypesRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_aspect_types(request=request)
-
-                # Handle the response
-                async for response in page_result:
-                    print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.ListAspectTypesRequest, dict]]):
-                The request object. List AspectTypes request.
-            parent (:class:`str`):
-                Required. The resource name of the AspectType location,
-                of the form:
-                ``projects/{project_number}/locations/{location_id}``
-                where ``location_id`` refers to a Google Cloud region.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.services.catalog_service.pagers.ListAspectTypesAsyncPager:
-                List AspectTypes response.
-
-                Iterating over this object will yield
-                results and resolve additional pages
-                automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, catalog.ListAspectTypesRequest):
-            request = catalog.ListAspectTypesRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if parent is not None:
-            request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.list_aspect_types]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__aiter__` convenience method.
-        response = pagers.ListAspectTypesAsyncPager(
-            method=rpc,
-            request=request,
-            response=response,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def get_aspect_type(self,
-            request: Optional[Union[catalog.GetAspectTypeRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> catalog.AspectType:
-        r"""Gets an AspectType.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_get_aspect_type():
-                # Create a client
-                client = dataplex_v1.CatalogServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.GetAspectTypeRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = await client.get_aspect_type(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.GetAspectTypeRequest, dict]]):
-                The request object. Get AspectType request.
-            name (:class:`str`):
-                Required. The resource name of the AspectType:
-                ``projects/{project_number}/locations/{location_id}/aspectTypes/{aspect_type_id}``.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.AspectType:
-                AspectType is a template for creating
-                Aspects, and represents the JSON-schema
-                for a given Entry, for example, BigQuery
-                Table Schema.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, catalog.GetAspectTypeRequest):
-            request = catalog.GetAspectTypeRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.get_aspect_type]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def create_entry_group(self,
-            request: Optional[Union[catalog.CreateEntryGroupRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            entry_group: Optional[catalog.EntryGroup] = None,
-            entry_group_id: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation_async.AsyncOperation:
-        r"""Creates an EntryGroup.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_create_entry_group():
-                # Create a client
-                client = dataplex_v1.CatalogServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.CreateEntryGroupRequest(
-                    parent="parent_value",
-                    entry_group_id="entry_group_id_value",
-                )
-
-                # Make the request
-                operation = client.create_entry_group(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = (await operation).result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.CreateEntryGroupRequest, dict]]):
-                The request object. Create EntryGroup Request.
-            parent (:class:`str`):
-                Required. The resource name of the entryGroup, of the
-                form: projects/{project_number}/locations/{location_id}
-                where ``location_id`` refers to a GCP region.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            entry_group (:class:`google.cloud.dataplex_v1.types.EntryGroup`):
-                Required. EntryGroup Resource.
-                This corresponds to the ``entry_group`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            entry_group_id (:class:`str`):
-                Required. EntryGroup identifier.
-                This corresponds to the ``entry_group_id`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation_async.AsyncOperation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be
-                :class:`google.cloud.dataplex_v1.types.EntryGroup` An
-                Entry Group represents a logical grouping of one or more
-                Entries.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent, entry_group, entry_group_id])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, catalog.CreateEntryGroupRequest):
-            request = catalog.CreateEntryGroupRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if parent is not None:
-            request.parent = parent
-        if entry_group is not None:
-            request.entry_group = entry_group
-        if entry_group_id is not None:
-            request.entry_group_id = entry_group_id
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.create_entry_group]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation_async.from_gapic(
-            response,
-            self._client._transport.operations_client,
-            catalog.EntryGroup,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def update_entry_group(self,
-            request: Optional[Union[catalog.UpdateEntryGroupRequest, dict]] = None,
-            *,
-            entry_group: Optional[catalog.EntryGroup] = None,
-            update_mask: Optional[field_mask_pb2.FieldMask] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation_async.AsyncOperation:
-        r"""Updates an EntryGroup.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_update_entry_group():
-                # Create a client
-                client = dataplex_v1.CatalogServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.UpdateEntryGroupRequest(
-                )
-
-                # Make the request
-                operation = client.update_entry_group(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = (await operation).result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.UpdateEntryGroupRequest, dict]]):
-                The request object. Update EntryGroup Request.
-            entry_group (:class:`google.cloud.dataplex_v1.types.EntryGroup`):
-                Required. EntryGroup Resource.
-                This corresponds to the ``entry_group`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`):
-                Required. Mask of fields to update.
-                This corresponds to the ``update_mask`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation_async.AsyncOperation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be
-                :class:`google.cloud.dataplex_v1.types.EntryGroup` An
-                Entry Group represents a logical grouping of one or more
-                Entries.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([entry_group, update_mask])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, catalog.UpdateEntryGroupRequest):
-            request = catalog.UpdateEntryGroupRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if entry_group is not None:
-            request.entry_group = entry_group
-        if update_mask is not None:
-            request.update_mask = update_mask
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.update_entry_group]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("entry_group.name", request.entry_group.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation_async.from_gapic(
-            response,
-            self._client._transport.operations_client,
-            catalog.EntryGroup,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def delete_entry_group(self,
-            request: Optional[Union[catalog.DeleteEntryGroupRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation_async.AsyncOperation:
-        r"""Deletes an EntryGroup.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_delete_entry_group():
-                # Create a client
-                client = dataplex_v1.CatalogServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.DeleteEntryGroupRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                operation = client.delete_entry_group(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = (await operation).result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.DeleteEntryGroupRequest, dict]]):
-                The request object. Delete EntryGroup Request.
-            name (:class:`str`):
-                Required. The resource name of the EntryGroup:
-                ``projects/{project_number}/locations/{location_id}/entryGroups/{entry_group_id}``.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation_async.AsyncOperation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
-                   empty messages in your APIs. A typical example is to
-                   use it as the request or the response type of an API
-                   method. For instance:
-
-                      service Foo {
-                         rpc Bar(google.protobuf.Empty) returns
-                         (google.protobuf.Empty);
-
-                      }
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, catalog.DeleteEntryGroupRequest):
-            request = catalog.DeleteEntryGroupRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.delete_entry_group]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation_async.from_gapic(
-            response,
-            self._client._transport.operations_client,
-            empty_pb2.Empty,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def list_entry_groups(self,
-            request: Optional[Union[catalog.ListEntryGroupsRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> pagers.ListEntryGroupsAsyncPager:
-        r"""Lists EntryGroup resources in a project and location.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_list_entry_groups():
-                # Create a client
-                client = dataplex_v1.CatalogServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.ListEntryGroupsRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_entry_groups(request=request)
-
-                # Handle the response
-                async for response in page_result:
-                    print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.ListEntryGroupsRequest, dict]]):
-                The request object. List entryGroups request.
-            parent (:class:`str`):
-                Required. The resource name of the entryGroup location,
-                of the form:
-                ``projects/{project_number}/locations/{location_id}``
-                where ``location_id`` refers to a Google Cloud region.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.services.catalog_service.pagers.ListEntryGroupsAsyncPager:
-                List entry groups response.
-
-                Iterating over this object will yield
-                results and resolve additional pages
-                automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, catalog.ListEntryGroupsRequest):
-            request = catalog.ListEntryGroupsRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if parent is not None:
-            request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.list_entry_groups]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__aiter__` convenience method.
-        response = pagers.ListEntryGroupsAsyncPager(
-            method=rpc,
-            request=request,
-            response=response,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def get_entry_group(self,
-            request: Optional[Union[catalog.GetEntryGroupRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> catalog.EntryGroup:
-        r"""Gets an EntryGroup.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_get_entry_group():
-                # Create a client
-                client = dataplex_v1.CatalogServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.GetEntryGroupRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = await client.get_entry_group(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.GetEntryGroupRequest, dict]]):
-                The request object. Get EntryGroup request.
-            name (:class:`str`):
-                Required. The resource name of the EntryGroup:
-                ``projects/{project_number}/locations/{location_id}/entryGroups/{entry_group_id}``.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.EntryGroup:
-                An Entry Group represents a logical
-                grouping of one or more Entries.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, catalog.GetEntryGroupRequest):
-            request = catalog.GetEntryGroupRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.get_entry_group]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def create_entry(self,
-            request: Optional[Union[catalog.CreateEntryRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            entry: Optional[catalog.Entry] = None,
-            entry_id: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> catalog.Entry:
-        r"""Creates an Entry.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_create_entry():
-                # Create a client
-                client = dataplex_v1.CatalogServiceAsyncClient()
-
-                # Initialize request argument(s)
-                entry = dataplex_v1.Entry()
-                entry.entry_type = "entry_type_value"
-
-                request = dataplex_v1.CreateEntryRequest(
-                    parent="parent_value",
-                    entry_id="entry_id_value",
-                    entry=entry,
-                )
-
-                # Make the request
-                response = await client.create_entry(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.CreateEntryRequest, dict]]):
-                The request object. Create Entry request.
-            parent (:class:`str`):
-                Required. The resource name of the parent Entry Group:
-                ``projects/{project}/locations/{location}/entryGroups/{entry_group}``.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            entry (:class:`google.cloud.dataplex_v1.types.Entry`):
-                Required. Entry resource.
-                This corresponds to the ``entry`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            entry_id (:class:`str`):
-                Required. Entry identifier. It has to be unique within
-                an Entry Group.
-
-                Entries corresponding to Google Cloud resources use an
-                Entry ID format based on `full resource
-                names <https://cloud.google.com/apis/design/resource_names#full_resource_name>`__.
-                The format is a full resource name of the resource
-                without the prefix double slashes in the API service
-                name part of the full resource name. This allows
-                retrieval of entries using their associated resource
-                name.
-
-                For example, if the full resource name of a resource is
-                ``//library.googleapis.com/shelves/shelf1/books/book2``,
-                then the suggested entry_id is
-                ``library.googleapis.com/shelves/shelf1/books/book2``.
-
-                It is also suggested to follow the same convention for
-                entries corresponding to resources from providers or
-                systems other than Google Cloud.
-
-                The maximum size of the field is 4000 characters.
-
-                This corresponds to the ``entry_id`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.Entry:
-                An entry is a representation of a
-                data resource that can be described by
-                various metadata.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent, entry, entry_id])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, catalog.CreateEntryRequest):
-            request = catalog.CreateEntryRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if parent is not None:
-            request.parent = parent
-        if entry is not None:
-            request.entry = entry
-        if entry_id is not None:
-            request.entry_id = entry_id
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.create_entry]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def update_entry(self,
-            request: Optional[Union[catalog.UpdateEntryRequest, dict]] = None,
-            *,
-            entry: Optional[catalog.Entry] = None,
-            update_mask: Optional[field_mask_pb2.FieldMask] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> catalog.Entry:
-        r"""Updates an Entry.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_update_entry():
-                # Create a client
-                client = dataplex_v1.CatalogServiceAsyncClient()
-
-                # Initialize request argument(s)
-                entry = dataplex_v1.Entry()
-                entry.entry_type = "entry_type_value"
-
-                request = dataplex_v1.UpdateEntryRequest(
-                    entry=entry,
-                )
-
-                # Make the request
-                response = await client.update_entry(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.UpdateEntryRequest, dict]]):
-                The request object. Update Entry request.
-            entry (:class:`google.cloud.dataplex_v1.types.Entry`):
-                Required. Entry resource.
-                This corresponds to the ``entry`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`):
-                Optional. Mask of fields to update. To update Aspects,
-                the update_mask must contain the value "aspects".
-
-                If the update_mask is empty, the service will update all
-                modifiable fields present in the request.
-
-                This corresponds to the ``update_mask`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.Entry:
-                An entry is a representation of a
-                data resource that can be described by
-                various metadata.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([entry, update_mask])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, catalog.UpdateEntryRequest):
-            request = catalog.UpdateEntryRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if entry is not None:
-            request.entry = entry
-        if update_mask is not None:
-            request.update_mask = update_mask
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.update_entry]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("entry.name", request.entry.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def delete_entry(self,
-            request: Optional[Union[catalog.DeleteEntryRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> catalog.Entry:
-        r"""Deletes an Entry.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_delete_entry():
-                # Create a client
-                client = dataplex_v1.CatalogServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.DeleteEntryRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = await client.delete_entry(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.DeleteEntryRequest, dict]]):
-                The request object. Delete Entry request.
-            name (:class:`str`):
-                Required. The resource name of the Entry:
-                ``projects/{project}/locations/{location}/entryGroups/{entry_group}/entries/{entry}``.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.Entry:
-                An entry is a representation of a
-                data resource that can be described by
-                various metadata.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, catalog.DeleteEntryRequest):
-            request = catalog.DeleteEntryRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.delete_entry]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def list_entries(self,
-            request: Optional[Union[catalog.ListEntriesRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> pagers.ListEntriesAsyncPager:
-        r"""Lists Entries within an EntryGroup.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_list_entries():
-                # Create a client
-                client = dataplex_v1.CatalogServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.ListEntriesRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_entries(request=request)
-
-                # Handle the response
-                async for response in page_result:
-                    print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.ListEntriesRequest, dict]]):
-                The request object. List Entries request.
-            parent (:class:`str`):
-                Required. The resource name of the parent Entry Group:
-                ``projects/{project}/locations/{location}/entryGroups/{entry_group}``.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.services.catalog_service.pagers.ListEntriesAsyncPager:
-                List Entries response.
-
-                Iterating over this object will yield
-                results and resolve additional pages
-                automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, catalog.ListEntriesRequest):
-            request = catalog.ListEntriesRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if parent is not None:
-            request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.list_entries]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__aiter__` convenience method.
-        response = pagers.ListEntriesAsyncPager(
-            method=rpc,
-            request=request,
-            response=response,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def get_entry(self,
-            request: Optional[Union[catalog.GetEntryRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> catalog.Entry:
-        r"""Gets an Entry.
-
-        **Caution**: The BigQuery metadata that is stored in Dataplex
-        Catalog is changing. For more information, see `Changes to
-        BigQuery metadata stored in Dataplex
-        Catalog <https://cloud.google.com/dataplex/docs/biqquery-metadata-changes>`__.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_get_entry():
-                # Create a client
-                client = dataplex_v1.CatalogServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.GetEntryRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = await client.get_entry(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.GetEntryRequest, dict]]):
-                The request object. Get Entry request.
-            name (:class:`str`):
-                Required. The resource name of the Entry:
-                ``projects/{project}/locations/{location}/entryGroups/{entry_group}/entries/{entry}``.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.Entry:
-                An entry is a representation of a
-                data resource that can be described by
-                various metadata.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, catalog.GetEntryRequest):
-            request = catalog.GetEntryRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.get_entry]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def lookup_entry(self,
-            request: Optional[Union[catalog.LookupEntryRequest, dict]] = None,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> catalog.Entry:
-        r"""Looks up a single Entry by name using the permission on the
-        source system.
-
-        **Caution**: The BigQuery metadata that is stored in Dataplex
-        Catalog is changing. For more information, see `Changes to
-        BigQuery metadata stored in Dataplex
-        Catalog <https://cloud.google.com/dataplex/docs/biqquery-metadata-changes>`__.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_lookup_entry():
-                # Create a client
-                client = dataplex_v1.CatalogServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.LookupEntryRequest(
-                    name="name_value",
-                    entry="entry_value",
-                )
-
-                # Make the request
-                response = await client.lookup_entry(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.LookupEntryRequest, dict]]):
-                The request object. Lookup Entry request using
-                permissions in the source system.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.Entry:
-                An entry is a representation of a
-                data resource that can be described by
-                various metadata.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, catalog.LookupEntryRequest):
-            request = catalog.LookupEntryRequest(request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.lookup_entry]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def search_entries(self,
-            request: Optional[Union[catalog.SearchEntriesRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            query: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> pagers.SearchEntriesAsyncPager:
-        r"""Searches for Entries matching the given query and
-        scope.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_search_entries():
-                # Create a client
-                client = dataplex_v1.CatalogServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.SearchEntriesRequest(
-                    name="name_value",
-                    query="query_value",
-                )
-
-                # Make the request
-                page_result = client.search_entries(request=request)
-
-                # Handle the response
-                async for response in page_result:
-                    print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.SearchEntriesRequest, dict]]):
-                The request object.
-            name (:class:`str`):
-                Required. The project to which the request should be
-                attributed in the following form:
-                ``projects/{project}/locations/{location}``.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            query (:class:`str`):
-                Required. The query against which
-                entries in scope should be matched.
-
-                This corresponds to the ``query`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.services.catalog_service.pagers.SearchEntriesAsyncPager:
-                Iterating over this object will yield
-                results and resolve additional pages
-                automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name, query])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, catalog.SearchEntriesRequest):
-            request = catalog.SearchEntriesRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-        if query is not None:
-            request.query = query
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.search_entries]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__aiter__` convenience method.
-        response = pagers.SearchEntriesAsyncPager(
-            method=rpc,
-            request=request,
-            response=response,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def create_metadata_job(self,
-            request: Optional[Union[catalog.CreateMetadataJobRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            metadata_job: Optional[catalog.MetadataJob] = None,
-            metadata_job_id: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation_async.AsyncOperation:
-        r"""Creates a metadata job. For example, use a metadata
-        job to import Dataplex Catalog entries and aspects from
-        a third-party system into Dataplex.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_create_metadata_job():
-                # Create a client
-                client = dataplex_v1.CatalogServiceAsyncClient()
-
-                # Initialize request argument(s)
-                metadata_job = dataplex_v1.MetadataJob()
-                metadata_job.import_spec.scope.entry_groups = ['entry_groups_value1', 'entry_groups_value2']
-                metadata_job.import_spec.scope.entry_types = ['entry_types_value1', 'entry_types_value2']
-                metadata_job.import_spec.entry_sync_mode = "INCREMENTAL"
-                metadata_job.import_spec.aspect_sync_mode = "INCREMENTAL"
-                metadata_job.type_ = "IMPORT"
-
-                request = dataplex_v1.CreateMetadataJobRequest(
-                    parent="parent_value",
-                    metadata_job=metadata_job,
-                )
-
-                # Make the request
-                operation = client.create_metadata_job(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = (await operation).result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.CreateMetadataJobRequest, dict]]):
-                The request object. Create metadata job request.
-            parent (:class:`str`):
-                Required. The resource name of the parent location, in
-                the format
-                ``projects/{project_id_or_number}/locations/{location_id}``
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            metadata_job (:class:`google.cloud.dataplex_v1.types.MetadataJob`):
-                Required. The metadata job resource.
-                This corresponds to the ``metadata_job`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            metadata_job_id (:class:`str`):
-                Optional. The metadata job ID. If not provided, a unique
-                ID is generated with the prefix ``metadata-job-``.
-
-                This corresponds to the ``metadata_job_id`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation_async.AsyncOperation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be
-                :class:`google.cloud.dataplex_v1.types.MetadataJob` A
-                metadata job resource.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent, metadata_job, metadata_job_id])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, catalog.CreateMetadataJobRequest):
-            request = catalog.CreateMetadataJobRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if parent is not None:
-            request.parent = parent
-        if metadata_job is not None:
-            request.metadata_job = metadata_job
-        if metadata_job_id is not None:
-            request.metadata_job_id = metadata_job_id
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.create_metadata_job]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation_async.from_gapic(
-            response,
-            self._client._transport.operations_client,
-            catalog.MetadataJob,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def get_metadata_job(self,
-            request: Optional[Union[catalog.GetMetadataJobRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> catalog.MetadataJob:
-        r"""Gets a metadata job.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_get_metadata_job():
-                # Create a client
-                client = dataplex_v1.CatalogServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.GetMetadataJobRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = await client.get_metadata_job(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.GetMetadataJobRequest, dict]]):
-                The request object. Get metadata job request.
-            name (:class:`str`):
-                Required. The resource name of the metadata job, in the
-                format
-                ``projects/{project_id_or_number}/locations/{location_id}/metadataJobs/{metadata_job_id}``.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.MetadataJob:
-                A metadata job resource.
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, catalog.GetMetadataJobRequest):
-            request = catalog.GetMetadataJobRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.get_metadata_job]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def list_metadata_jobs(self,
-            request: Optional[Union[catalog.ListMetadataJobsRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> pagers.ListMetadataJobsAsyncPager:
-        r"""Lists metadata jobs.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_list_metadata_jobs():
-                # Create a client
-                client = dataplex_v1.CatalogServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.ListMetadataJobsRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_metadata_jobs(request=request)
-
-                # Handle the response
-                async for response in page_result:
-                    print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.ListMetadataJobsRequest, dict]]):
-                The request object. List metadata jobs request.
-            parent (:class:`str`):
-                Required. The resource name of the parent location, in
-                the format
-                ``projects/{project_id_or_number}/locations/{location_id}``
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.services.catalog_service.pagers.ListMetadataJobsAsyncPager:
-                List metadata jobs response.
-
-                Iterating over this object will yield
-                results and resolve additional pages
-                automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, catalog.ListMetadataJobsRequest):
-            request = catalog.ListMetadataJobsRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if parent is not None:
-            request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.list_metadata_jobs]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__aiter__` convenience method.
-        response = pagers.ListMetadataJobsAsyncPager(
-            method=rpc,
-            request=request,
-            response=response,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def cancel_metadata_job(self,
-            request: Optional[Union[catalog.CancelMetadataJobRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> None:
-        r"""Cancels a metadata job.
-
-        If you cancel a metadata import job that is in progress,
-        the changes in the job might be partially applied. We
-        recommend that you reset the state of the entry groups
-        in your project by running another metadata job that
-        reverts the changes from the canceled job.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_cancel_metadata_job():
-                # Create a client
-                client = dataplex_v1.CatalogServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.CancelMetadataJobRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                await client.cancel_metadata_job(request=request)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.CancelMetadataJobRequest, dict]]):
-                The request object. Cancel metadata job request.
-            name (:class:`str`):
-                Required. The resource name of the job, in the format
-                ``projects/{project_id_or_number}/locations/{location_id}/metadataJobs/{metadata_job_id}``
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, catalog.CancelMetadataJobRequest):
-            request = catalog.CancelMetadataJobRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.cancel_metadata_job]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-    async def list_operations(
-        self,
-        request: Optional[operations_pb2.ListOperationsRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operations_pb2.ListOperationsResponse:
-        r"""Lists operations that match the specified filter in the request.
-
-        Args:
-            request (:class:`~.operations_pb2.ListOperationsRequest`):
-                The request object. Request message for
-                `ListOperations` method.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.operations_pb2.ListOperationsResponse:
-                Response message for ``ListOperations`` method.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.ListOperationsRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self.transport._wrapped_methods[self._client._transport.list_operations]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request, retry=retry, timeout=timeout, metadata=metadata,)
-
-        # Done; return the response.
-        return response
-
-    async def get_operation(
-        self,
-        request: Optional[operations_pb2.GetOperationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operations_pb2.Operation:
-        r"""Gets the latest state of a long-running operation.
-
-        Args:
-            request (:class:`~.operations_pb2.GetOperationRequest`):
-                The request object. Request message for
-                `GetOperation` method.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.operations_pb2.Operation:
-                An ``Operation`` object.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.GetOperationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self.transport._wrapped_methods[self._client._transport.get_operation]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request, retry=retry, timeout=timeout, metadata=metadata,)
-
-        # Done; return the response.
-        return response
-
-    async def delete_operation(
-        self,
-        request: Optional[operations_pb2.DeleteOperationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> None:
-        r"""Deletes a long-running operation.
-
-        This method indicates that the client is no longer interested
-        in the operation result. It does not cancel the operation.
-        If the server doesn't support this method, it returns
-        `google.rpc.Code.UNIMPLEMENTED`.
-
-        Args:
-            request (:class:`~.operations_pb2.DeleteOperationRequest`):
-                The request object. Request message for
-                `DeleteOperation` method.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            None
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.DeleteOperationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self.transport._wrapped_methods[self._client._transport.delete_operation]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        await rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
-
-    async def cancel_operation(
-        self,
-        request: Optional[operations_pb2.CancelOperationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> None:
-        r"""Starts asynchronous cancellation on a long-running operation.
-
-        The server makes a best effort to cancel the operation, but success
-        is not guaranteed.  If the server doesn't support this method, it returns
-        `google.rpc.Code.UNIMPLEMENTED`.
-
-        Args:
-            request (:class:`~.operations_pb2.CancelOperationRequest`):
-                The request object. Request message for
-                `CancelOperation` method.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            None
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.CancelOperationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self.transport._wrapped_methods[self._client._transport.cancel_operation]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        await rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
-
-    async def get_location(
-        self,
-        request: Optional[locations_pb2.GetLocationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> locations_pb2.Location:
-        r"""Gets information about a location.
-
-        Args:
-            request (:class:`~.location_pb2.GetLocationRequest`):
-                The request object. Request message for
-                `GetLocation` method.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
-                 if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.location_pb2.Location:
-                Location object.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = locations_pb2.GetLocationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self.transport._wrapped_methods[self._client._transport.get_location]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request, retry=retry, timeout=timeout, metadata=metadata,)
-
-        # Done; return the response.
-        return response
-
-    async def list_locations(
-        self,
-        request: Optional[locations_pb2.ListLocationsRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> locations_pb2.ListLocationsResponse:
-        r"""Lists information about the supported locations for this service.
-
-        Args:
-            request (:class:`~.location_pb2.ListLocationsRequest`):
-                The request object. Request message for
-                `ListLocations` method.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
-                 if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.location_pb2.ListLocationsResponse:
-                Response message for ``ListLocations`` method.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = locations_pb2.ListLocationsRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self.transport._wrapped_methods[self._client._transport.list_locations]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request, retry=retry, timeout=timeout, metadata=metadata,)
-
-        # Done; return the response.
-        return response
-
-    async def __aenter__(self) -> "CatalogServiceAsyncClient":
-        return self
-
-    async def __aexit__(self, exc_type, exc, tb):
-        await self.transport.close()
-
-DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(gapic_version=package_version.__version__)
-
-
-__all__ = (
-    "CatalogServiceAsyncClient",
-)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/catalog_service/client.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/catalog_service/client.py
deleted file mode 100644
index 1c5c93d92538..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/catalog_service/client.py
+++ /dev/null
@@ -1,3986 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from collections import OrderedDict
-import os
-import re
-from typing import Dict, Callable, Mapping, MutableMapping, MutableSequence, Optional, Sequence, Tuple, Type, Union, cast
-import warnings
-
-from google.cloud.dataplex_v1 import gapic_version as package_version
-
-from google.api_core import client_options as client_options_lib
-from google.api_core import exceptions as core_exceptions
-from google.api_core import gapic_v1
-from google.api_core import retry as retries
-from google.auth import credentials as ga_credentials             # type: ignore
-from google.auth.transport import mtls                            # type: ignore
-from google.auth.transport.grpc import SslCredentials             # type: ignore
-from google.auth.exceptions import MutualTLSChannelError          # type: ignore
-from google.oauth2 import service_account                         # type: ignore
-
-try:
-    OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None]
-except AttributeError:  # pragma: NO COVER
-    OptionalRetry = Union[retries.Retry, object, None]  # type: ignore
-
-from google.api_core import operation  # type: ignore
-from google.api_core import operation_async  # type: ignore
-from google.cloud.dataplex_v1.services.catalog_service import pagers
-from google.cloud.dataplex_v1.types import catalog
-from google.cloud.dataplex_v1.types import service
-from google.cloud.location import locations_pb2 # type: ignore
-from google.iam.v1 import iam_policy_pb2  # type: ignore
-from google.iam.v1 import policy_pb2  # type: ignore
-from google.longrunning import operations_pb2 # type: ignore
-from google.protobuf import empty_pb2  # type: ignore
-from google.protobuf import field_mask_pb2  # type: ignore
-from google.protobuf import timestamp_pb2  # type: ignore
-from .transports.base import CatalogServiceTransport, DEFAULT_CLIENT_INFO
-from .transports.grpc import CatalogServiceGrpcTransport
-from .transports.grpc_asyncio import CatalogServiceGrpcAsyncIOTransport
-
-
-class CatalogServiceClientMeta(type):
-    """Metaclass for the CatalogService client.
-
-    This provides class-level methods for building and retrieving
-    support objects (e.g. transport) without polluting the client instance
-    objects.
-    """
-    _transport_registry = OrderedDict()  # type: Dict[str, Type[CatalogServiceTransport]]
-    _transport_registry["grpc"] = CatalogServiceGrpcTransport
-    _transport_registry["grpc_asyncio"] = CatalogServiceGrpcAsyncIOTransport
-
-    def get_transport_class(cls,
-            label: Optional[str] = None,
-        ) -> Type[CatalogServiceTransport]:
-        """Returns an appropriate transport class.
-
-        Args:
-            label: The name of the desired transport. If none is
-                provided, then the first transport in the registry is used.
-
-        Returns:
-            The transport class to use.
-        """
-        # If a specific transport is requested, return that one.
-        if label:
-            return cls._transport_registry[label]
-
-        # No transport is requested; return the default (that is, the first one
-        # in the dictionary).
-        return next(iter(cls._transport_registry.values()))
-
-
-class CatalogServiceClient(metaclass=CatalogServiceClientMeta):
-    """The primary resources offered by this service are
-    EntryGroups, EntryTypes, AspectTypes, and Entries. They
-    collectively let data administrators organize, manage, secure,
-    and catalog data located across cloud projects in their
-    organization in a variety of storage systems, including Cloud
-    Storage and BigQuery.
-    """
-
-    @staticmethod
-    def _get_default_mtls_endpoint(api_endpoint):
-        """Converts api endpoint to mTLS endpoint.
-
-        Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to
-        "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively.
-        Args:
-            api_endpoint (Optional[str]): the api endpoint to convert.
-        Returns:
-            str: converted mTLS api endpoint.
-        """
-        if not api_endpoint:
-            return api_endpoint
-
-        mtls_endpoint_re = re.compile(
-            r"(?P<name>[^.]+)(?P<mtls>\.mtls)?(?P<sandbox>\.sandbox)?(?P<googledomain>\.googleapis\.com)?"
-        )
-
-        m = mtls_endpoint_re.match(api_endpoint)
-        name, mtls, sandbox, googledomain = m.groups()
-        if mtls or not googledomain:
-            return api_endpoint
-
-        if sandbox:
-            return api_endpoint.replace(
-                "sandbox.googleapis.com", "mtls.sandbox.googleapis.com"
-            )
-
-        return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com")
-
-    # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead.
-    DEFAULT_ENDPOINT = "dataplex.googleapis.com"
-    DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__(  # type: ignore
-        DEFAULT_ENDPOINT
-    )
-
-    _DEFAULT_ENDPOINT_TEMPLATE = "dataplex.{UNIVERSE_DOMAIN}"
-    _DEFAULT_UNIVERSE = "googleapis.com"
-
-    @classmethod
-    def from_service_account_info(cls, info: dict, *args, **kwargs):
-        """Creates an instance of this client using the provided credentials
-            info.
-
-        Args:
-            info (dict): The service account private key info.
-            args: Additional arguments to pass to the constructor.
-            kwargs: Additional arguments to pass to the constructor.
-
-        Returns:
-            CatalogServiceClient: The constructed client.
-        """
-        credentials = service_account.Credentials.from_service_account_info(info)
-        kwargs["credentials"] = credentials
-        return cls(*args, **kwargs)
-
-    @classmethod
-    def from_service_account_file(cls, filename: str, *args, **kwargs):
-        """Creates an instance of this client using the provided credentials
-            file.
-
-        Args:
-            filename (str): The path to the service account private key json
-                file.
-            args: Additional arguments to pass to the constructor.
-            kwargs: Additional arguments to pass to the constructor.
-
-        Returns:
-            CatalogServiceClient: The constructed client.
-        """
-        credentials = service_account.Credentials.from_service_account_file(
-            filename)
-        kwargs["credentials"] = credentials
-        return cls(*args, **kwargs)
-
-    from_service_account_json = from_service_account_file
-
-    @property
-    def transport(self) -> CatalogServiceTransport:
-        """Returns the transport used by the client instance.
-
-        Returns:
-            CatalogServiceTransport: The transport used by the client
-                instance.
-        """
-        return self._transport
-
-    @staticmethod
-    def aspect_type_path(project: str,location: str,aspect_type: str,) -> str:
-        """Returns a fully-qualified aspect_type string."""
-        return "projects/{project}/locations/{location}/aspectTypes/{aspect_type}".format(project=project, location=location, aspect_type=aspect_type, )
-
-    @staticmethod
-    def parse_aspect_type_path(path: str) -> Dict[str,str]:
-        """Parses a aspect_type path into its component segments."""
-        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/aspectTypes/(?P<aspect_type>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def entry_path(project: str,location: str,entry_group: str,entry: str,) -> str:
-        """Returns a fully-qualified entry string."""
-        return "projects/{project}/locations/{location}/entryGroups/{entry_group}/entries/{entry}".format(project=project, location=location, entry_group=entry_group, entry=entry, )
-
-    @staticmethod
-    def parse_entry_path(path: str) -> Dict[str,str]:
-        """Parses a entry path into its component segments."""
-        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/entryGroups/(?P<entry_group>.+?)/entries/(?P<entry>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def entry_group_path(project: str,location: str,entry_group: str,) -> str:
-        """Returns a fully-qualified entry_group string."""
-        return "projects/{project}/locations/{location}/entryGroups/{entry_group}".format(project=project, location=location, entry_group=entry_group, )
-
-    @staticmethod
-    def parse_entry_group_path(path: str) -> Dict[str,str]:
-        """Parses a entry_group path into its component segments."""
-        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/entryGroups/(?P<entry_group>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def entry_type_path(project: str,location: str,entry_type: str,) -> str:
-        """Returns a fully-qualified entry_type string."""
-        return "projects/{project}/locations/{location}/entryTypes/{entry_type}".format(project=project, location=location, entry_type=entry_type, )
-
-    @staticmethod
-    def parse_entry_type_path(path: str) -> Dict[str,str]:
-        """Parses a entry_type path into its component segments."""
-        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/entryTypes/(?P<entry_type>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def metadata_job_path(project: str,location: str,metadataJob: str,) -> str:
-        """Returns a fully-qualified metadata_job string."""
-        return "projects/{project}/locations/{location}/metadataJobs/{metadataJob}".format(project=project, location=location, metadataJob=metadataJob, )
-
-    @staticmethod
-    def parse_metadata_job_path(path: str) -> Dict[str,str]:
-        """Parses a metadata_job path into its component segments."""
-        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/metadataJobs/(?P<metadataJob>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def common_billing_account_path(billing_account: str, ) -> str:
-        """Returns a fully-qualified billing_account string."""
-        return "billingAccounts/{billing_account}".format(billing_account=billing_account, )
-
-    @staticmethod
-    def parse_common_billing_account_path(path: str) -> Dict[str,str]:
-        """Parse a billing_account path into its component segments."""
-        m = re.match(r"^billingAccounts/(?P<billing_account>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def common_folder_path(folder: str, ) -> str:
-        """Returns a fully-qualified folder string."""
-        return "folders/{folder}".format(folder=folder, )
-
-    @staticmethod
-    def parse_common_folder_path(path: str) -> Dict[str,str]:
-        """Parse a folder path into its component segments."""
-        m = re.match(r"^folders/(?P<folder>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def common_organization_path(organization: str, ) -> str:
-        """Returns a fully-qualified organization string."""
-        return "organizations/{organization}".format(organization=organization, )
-
-    @staticmethod
-    def parse_common_organization_path(path: str) -> Dict[str,str]:
-        """Parse a organization path into its component segments."""
-        m = re.match(r"^organizations/(?P<organization>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def common_project_path(project: str, ) -> str:
-        """Returns a fully-qualified project string."""
-        return "projects/{project}".format(project=project, )
-
-    @staticmethod
-    def parse_common_project_path(path: str) -> Dict[str,str]:
-        """Parse a project path into its component segments."""
-        m = re.match(r"^projects/(?P<project>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def common_location_path(project: str, location: str, ) -> str:
-        """Returns a fully-qualified location string."""
-        return "projects/{project}/locations/{location}".format(project=project, location=location, )
-
-    @staticmethod
-    def parse_common_location_path(path: str) -> Dict[str,str]:
-        """Parse a location path into its component segments."""
-        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @classmethod
-    def get_mtls_endpoint_and_cert_source(cls, client_options: Optional[client_options_lib.ClientOptions] = None):
-        """Deprecated. Return the API endpoint and client cert source for mutual TLS.
-
-        The client cert source is determined in the following order:
-        (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the
-        client cert source is None.
-        (2) if `client_options.client_cert_source` is provided, use the provided one; if the
-        default client cert source exists, use the default one; otherwise the client cert
-        source is None.
-
-        The API endpoint is determined in the following order:
-        (1) if `client_options.api_endpoint` if provided, use the provided one.
-        (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the
-        default mTLS endpoint; if the environment variable is "never", use the default API
-        endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise
-        use the default API endpoint.
-
-        More details can be found at https://google.aip.dev/auth/4114.
-
-        Args:
-            client_options (google.api_core.client_options.ClientOptions): Custom options for the
-                client. Only the `api_endpoint` and `client_cert_source` properties may be used
-                in this method.
-
-        Returns:
-            Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the
-                client cert source to use.
-
-        Raises:
-            google.auth.exceptions.MutualTLSChannelError: If any errors happen.
-        """
-
-        warnings.warn("get_mtls_endpoint_and_cert_source is deprecated. Use the api_endpoint property instead.",
-            DeprecationWarning)
-        if client_options is None:
-            client_options = client_options_lib.ClientOptions()
-        use_client_cert = os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false")
-        use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto")
-        if use_client_cert not in ("true", "false"):
-            raise ValueError("Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`")
-        if use_mtls_endpoint not in ("auto", "never", "always"):
-            raise MutualTLSChannelError("Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`")
-
-        # Figure out the client cert source to use.
-        client_cert_source = None
-        if use_client_cert == "true":
-            if client_options.client_cert_source:
-                client_cert_source = client_options.client_cert_source
-            elif mtls.has_default_client_cert_source():
-                client_cert_source = mtls.default_client_cert_source()
-
-        # Figure out which api endpoint to use.
-        if client_options.api_endpoint is not None:
-            api_endpoint = client_options.api_endpoint
-        elif use_mtls_endpoint == "always" or (use_mtls_endpoint == "auto" and client_cert_source):
-            api_endpoint = cls.DEFAULT_MTLS_ENDPOINT
-        else:
-            api_endpoint = cls.DEFAULT_ENDPOINT
-
-        return api_endpoint, client_cert_source
-
-    @staticmethod
-    def _read_environment_variables():
-        """Returns the environment variables used by the client.
-
-        Returns:
-            Tuple[bool, str, str]: returns the GOOGLE_API_USE_CLIENT_CERTIFICATE,
-            GOOGLE_API_USE_MTLS_ENDPOINT, and GOOGLE_CLOUD_UNIVERSE_DOMAIN environment variables.
-
-        Raises:
-            ValueError: If GOOGLE_API_USE_CLIENT_CERTIFICATE is not
-                any of ["true", "false"].
-            google.auth.exceptions.MutualTLSChannelError: If GOOGLE_API_USE_MTLS_ENDPOINT
-                is not any of ["auto", "never", "always"].
-        """
-        use_client_cert = os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false").lower()
-        use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto").lower()
-        universe_domain_env = os.getenv("GOOGLE_CLOUD_UNIVERSE_DOMAIN")
-        if use_client_cert not in ("true", "false"):
-            raise ValueError("Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`")
-        if use_mtls_endpoint not in ("auto", "never", "always"):
-            raise MutualTLSChannelError("Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`")
-        return use_client_cert == "true", use_mtls_endpoint, universe_domain_env
-
-    @staticmethod
-    def _get_client_cert_source(provided_cert_source, use_cert_flag):
-        """Return the client cert source to be used by the client.
-
-        Args:
-            provided_cert_source (bytes): The client certificate source provided.
-            use_cert_flag (bool): A flag indicating whether to use the client certificate.
-
-        Returns:
-            bytes or None: The client cert source to be used by the client.
-        """
-        client_cert_source = None
-        if use_cert_flag:
-            if provided_cert_source:
-                client_cert_source = provided_cert_source
-            elif mtls.has_default_client_cert_source():
-                client_cert_source = mtls.default_client_cert_source()
-        return client_cert_source
-
-    @staticmethod
-    def _get_api_endpoint(api_override, client_cert_source, universe_domain, use_mtls_endpoint):
-        """Return the API endpoint used by the client.
-
-        Args:
-            api_override (str): The API endpoint override. If specified, this is always
-                the return value of this function and the other arguments are not used.
-            client_cert_source (bytes): The client certificate source used by the client.
-            universe_domain (str): The universe domain used by the client.
-            use_mtls_endpoint (str): How to use the mTLS endpoint, which depends also on the other parameters.
-                Possible values are "always", "auto", or "never".
-
-        Returns:
-            str: The API endpoint to be used by the client.
-        """
-        if api_override is not None:
-            api_endpoint = api_override
-        elif use_mtls_endpoint == "always" or (use_mtls_endpoint == "auto" and client_cert_source):
-            _default_universe = CatalogServiceClient._DEFAULT_UNIVERSE
-            if universe_domain != _default_universe:
-                raise MutualTLSChannelError(f"mTLS is not supported in any universe other than {_default_universe}.")
-            api_endpoint = CatalogServiceClient.DEFAULT_MTLS_ENDPOINT
-        else:
-            api_endpoint = CatalogServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=universe_domain)
-        return api_endpoint
-
-    @staticmethod
-    def _get_universe_domain(client_universe_domain: Optional[str], universe_domain_env: Optional[str]) -> str:
-        """Return the universe domain used by the client.
-
-        Args:
-            client_universe_domain (Optional[str]): The universe domain configured via the client options.
-            universe_domain_env (Optional[str]): The universe domain configured via the "GOOGLE_CLOUD_UNIVERSE_DOMAIN" environment variable.
-
-        Returns:
-            str: The universe domain to be used by the client.
-
-        Raises:
-            ValueError: If the universe domain is an empty string.
-        """
-        universe_domain = CatalogServiceClient._DEFAULT_UNIVERSE
-        if client_universe_domain is not None:
-            universe_domain = client_universe_domain
-        elif universe_domain_env is not None:
-            universe_domain = universe_domain_env
-        if len(universe_domain.strip()) == 0:
-            raise ValueError("Universe Domain cannot be an empty string.")
-        return universe_domain
-
-    def _validate_universe_domain(self):
-        """Validates client's and credentials' universe domains are consistent.
-
-        Returns:
-            bool: True iff the configured universe domain is valid.
-
-        Raises:
-            ValueError: If the configured universe domain is not valid.
-        """
-
-        # NOTE (b/349488459): universe validation is disabled until further notice.
-        return True
-
-    @property
-    def api_endpoint(self):
-        """Return the API endpoint used by the client instance.
-
-        Returns:
-            str: The API endpoint used by the client instance.
-        """
-        return self._api_endpoint
-
-    @property
-    def universe_domain(self) -> str:
-        """Return the universe domain used by the client instance.
-
-        Returns:
-            str: The universe domain used by the client instance.
-        """
-        return self._universe_domain
-
-    def __init__(self, *,
-            credentials: Optional[ga_credentials.Credentials] = None,
-            transport: Optional[Union[str, CatalogServiceTransport, Callable[..., CatalogServiceTransport]]] = None,
-            client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None,
-            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-            ) -> None:
-        """Instantiates the catalog service client.
-
-        Args:
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-            transport (Optional[Union[str,CatalogServiceTransport,Callable[..., CatalogServiceTransport]]]):
-                The transport to use, or a Callable that constructs and returns a new transport.
-                If a Callable is given, it will be called with the same set of initialization
-                arguments as used in the CatalogServiceTransport constructor.
-                If set to None, a transport is chosen automatically.
-            client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]):
-                Custom options for the client.
-
-                1. The ``api_endpoint`` property can be used to override the
-                default endpoint provided by the client when ``transport`` is
-                not explicitly provided. Only if this property is not set and
-                ``transport`` was not explicitly provided, the endpoint is
-                determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment
-                variable, which have one of the following values:
-                "always" (always use the default mTLS endpoint), "never" (always
-                use the default regular endpoint) and "auto" (auto-switch to the
-                default mTLS endpoint if client certificate is present; this is
-                the default value).
-
-                2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable
-                is "true", then the ``client_cert_source`` property can be used
-                to provide a client certificate for mTLS transport. If
-                not provided, the default SSL client certificate will be used if
-                present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not
-                set, no client certificate will be used.
-
-                3. The ``universe_domain`` property can be used to override the
-                default "googleapis.com" universe. Note that the ``api_endpoint``
-                property still takes precedence; and ``universe_domain`` is
-                currently not supported for mTLS.
-
-            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
-                The client info used to send a user-agent string along with
-                API requests. If ``None``, then default info will be used.
-                Generally, you only need to set this if you're developing
-                your own client library.
-
-        Raises:
-            google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport
-                creation failed for any reason.
-        """
-        self._client_options = client_options
-        if isinstance(self._client_options, dict):
-            self._client_options = client_options_lib.from_dict(self._client_options)
-        if self._client_options is None:
-            self._client_options = client_options_lib.ClientOptions()
-        self._client_options = cast(client_options_lib.ClientOptions, self._client_options)
-
-        universe_domain_opt = getattr(self._client_options, 'universe_domain', None)
-
-        self._use_client_cert, self._use_mtls_endpoint, self._universe_domain_env = CatalogServiceClient._read_environment_variables()
-        self._client_cert_source = CatalogServiceClient._get_client_cert_source(self._client_options.client_cert_source, self._use_client_cert)
-        self._universe_domain = CatalogServiceClient._get_universe_domain(universe_domain_opt, self._universe_domain_env)
-        self._api_endpoint = None # updated below, depending on `transport`
-
-        # Initialize the universe domain validation.
-        self._is_universe_domain_valid = False
-
-        api_key_value = getattr(self._client_options, "api_key", None)
-        if api_key_value and credentials:
-            raise ValueError("client_options.api_key and credentials are mutually exclusive")
-
-        # Save or instantiate the transport.
-        # Ordinarily, we provide the transport, but allowing a custom transport
-        # instance provides an extensibility point for unusual situations.
-        transport_provided = isinstance(transport, CatalogServiceTransport)
-        if transport_provided:
-            # transport is a CatalogServiceTransport instance.
-            if credentials or self._client_options.credentials_file or api_key_value:
-                raise ValueError("When providing a transport instance, "
-                                 "provide its credentials directly.")
-            if self._client_options.scopes:
-                raise ValueError(
-                    "When providing a transport instance, provide its scopes "
-                    "directly."
-                )
-            self._transport = cast(CatalogServiceTransport, transport)
-            self._api_endpoint = self._transport.host
-
-        self._api_endpoint = (self._api_endpoint or
-            CatalogServiceClient._get_api_endpoint(
-                self._client_options.api_endpoint,
-                self._client_cert_source,
-                self._universe_domain,
-                self._use_mtls_endpoint))
-
-        if not transport_provided:
-            import google.auth._default  # type: ignore
-
-            if api_key_value and hasattr(google.auth._default, "get_api_key_credentials"):
-                credentials = google.auth._default.get_api_key_credentials(api_key_value)
-
-            transport_init: Union[Type[CatalogServiceTransport], Callable[..., CatalogServiceTransport]] = (
-                CatalogServiceClient.get_transport_class(transport)
-                if isinstance(transport, str) or transport is None
-                else cast(Callable[..., CatalogServiceTransport], transport)
-            )
-            # initialize with the provided callable or the passed in class
-            self._transport = transport_init(
-                credentials=credentials,
-                credentials_file=self._client_options.credentials_file,
-                host=self._api_endpoint,
-                scopes=self._client_options.scopes,
-                client_cert_source_for_mtls=self._client_cert_source,
-                quota_project_id=self._client_options.quota_project_id,
-                client_info=client_info,
-                always_use_jwt_access=True,
-                api_audience=self._client_options.api_audience,
-            )
-
-    def create_entry_type(self,
-            request: Optional[Union[catalog.CreateEntryTypeRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            entry_type: Optional[catalog.EntryType] = None,
-            entry_type_id: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation.Operation:
-        r"""Creates an EntryType.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_create_entry_type():
-                # Create a client
-                client = dataplex_v1.CatalogServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.CreateEntryTypeRequest(
-                    parent="parent_value",
-                    entry_type_id="entry_type_id_value",
-                )
-
-                # Make the request
-                operation = client.create_entry_type(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = operation.result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.CreateEntryTypeRequest, dict]):
-                The request object. Create EntryType Request.
-            parent (str):
-                Required. The resource name of the EntryType, of the
-                form: projects/{project_number}/locations/{location_id}
-                where ``location_id`` refers to a Google Cloud region.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            entry_type (google.cloud.dataplex_v1.types.EntryType):
-                Required. EntryType Resource.
-                This corresponds to the ``entry_type`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            entry_type_id (str):
-                Required. EntryType identifier.
-                This corresponds to the ``entry_type_id`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation.Operation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be
-                :class:`google.cloud.dataplex_v1.types.EntryType` Entry
-                Type is a template for creating Entries.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent, entry_type, entry_type_id])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, catalog.CreateEntryTypeRequest):
-            request = catalog.CreateEntryTypeRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if parent is not None:
-                request.parent = parent
-            if entry_type is not None:
-                request.entry_type = entry_type
-            if entry_type_id is not None:
-                request.entry_type_id = entry_type_id
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.create_entry_type]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation.from_gapic(
-            response,
-            self._transport.operations_client,
-            catalog.EntryType,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def update_entry_type(self,
-            request: Optional[Union[catalog.UpdateEntryTypeRequest, dict]] = None,
-            *,
-            entry_type: Optional[catalog.EntryType] = None,
-            update_mask: Optional[field_mask_pb2.FieldMask] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation.Operation:
-        r"""Updates an EntryType.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_update_entry_type():
-                # Create a client
-                client = dataplex_v1.CatalogServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.UpdateEntryTypeRequest(
-                )
-
-                # Make the request
-                operation = client.update_entry_type(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = operation.result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.UpdateEntryTypeRequest, dict]):
-                The request object. Update EntryType Request.
-            entry_type (google.cloud.dataplex_v1.types.EntryType):
-                Required. EntryType Resource.
-                This corresponds to the ``entry_type`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            update_mask (google.protobuf.field_mask_pb2.FieldMask):
-                Required. Mask of fields to update.
-                This corresponds to the ``update_mask`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation.Operation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be
-                :class:`google.cloud.dataplex_v1.types.EntryType` Entry
-                Type is a template for creating Entries.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([entry_type, update_mask])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, catalog.UpdateEntryTypeRequest):
-            request = catalog.UpdateEntryTypeRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if entry_type is not None:
-                request.entry_type = entry_type
-            if update_mask is not None:
-                request.update_mask = update_mask
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.update_entry_type]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("entry_type.name", request.entry_type.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation.from_gapic(
-            response,
-            self._transport.operations_client,
-            catalog.EntryType,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def delete_entry_type(self,
-            request: Optional[Union[catalog.DeleteEntryTypeRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation.Operation:
-        r"""Deletes an EntryType.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_delete_entry_type():
-                # Create a client
-                client = dataplex_v1.CatalogServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.DeleteEntryTypeRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                operation = client.delete_entry_type(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = operation.result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.DeleteEntryTypeRequest, dict]):
-                The request object. Delele EntryType Request.
-            name (str):
-                Required. The resource name of the EntryType:
-                ``projects/{project_number}/locations/{location_id}/entryTypes/{entry_type_id}``.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation.Operation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
-                   empty messages in your APIs. A typical example is to
-                   use it as the request or the response type of an API
-                   method. For instance:
-
-                      service Foo {
-                         rpc Bar(google.protobuf.Empty) returns
-                         (google.protobuf.Empty);
-
-                      }
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, catalog.DeleteEntryTypeRequest):
-            request = catalog.DeleteEntryTypeRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.delete_entry_type]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation.from_gapic(
-            response,
-            self._transport.operations_client,
-            empty_pb2.Empty,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def list_entry_types(self,
-            request: Optional[Union[catalog.ListEntryTypesRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> pagers.ListEntryTypesPager:
-        r"""Lists EntryType resources in a project and location.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_list_entry_types():
-                # Create a client
-                client = dataplex_v1.CatalogServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.ListEntryTypesRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_entry_types(request=request)
-
-                # Handle the response
-                for response in page_result:
-                    print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.ListEntryTypesRequest, dict]):
-                The request object. List EntryTypes request
-            parent (str):
-                Required. The resource name of the EntryType location,
-                of the form:
-                ``projects/{project_number}/locations/{location_id}``
-                where ``location_id`` refers to a Google Cloud region.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.services.catalog_service.pagers.ListEntryTypesPager:
-                List EntryTypes response.
-
-                Iterating over this object will yield
-                results and resolve additional pages
-                automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, catalog.ListEntryTypesRequest):
-            request = catalog.ListEntryTypesRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if parent is not None:
-                request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.list_entry_types]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__iter__` convenience method.
-        response = pagers.ListEntryTypesPager(
-            method=rpc,
-            request=request,
-            response=response,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def get_entry_type(self,
-            request: Optional[Union[catalog.GetEntryTypeRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> catalog.EntryType:
-        r"""Gets an EntryType.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_get_entry_type():
-                # Create a client
-                client = dataplex_v1.CatalogServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.GetEntryTypeRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = client.get_entry_type(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.GetEntryTypeRequest, dict]):
-                The request object. Get EntryType request.
-            name (str):
-                Required. The resource name of the EntryType:
-                ``projects/{project_number}/locations/{location_id}/entryTypes/{entry_type_id}``.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.EntryType:
-                Entry Type is a template for creating
-                Entries.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, catalog.GetEntryTypeRequest):
-            request = catalog.GetEntryTypeRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.get_entry_type]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def create_aspect_type(self,
-            request: Optional[Union[catalog.CreateAspectTypeRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            aspect_type: Optional[catalog.AspectType] = None,
-            aspect_type_id: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation.Operation:
-        r"""Creates an AspectType.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_create_aspect_type():
-                # Create a client
-                client = dataplex_v1.CatalogServiceClient()
-
-                # Initialize request argument(s)
-                aspect_type = dataplex_v1.AspectType()
-                aspect_type.metadata_template.name = "name_value"
-                aspect_type.metadata_template.type_ = "type__value"
-
-                request = dataplex_v1.CreateAspectTypeRequest(
-                    parent="parent_value",
-                    aspect_type_id="aspect_type_id_value",
-                    aspect_type=aspect_type,
-                )
-
-                # Make the request
-                operation = client.create_aspect_type(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = operation.result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.CreateAspectTypeRequest, dict]):
-                The request object. Create AspectType Request.
-            parent (str):
-                Required. The resource name of the AspectType, of the
-                form: projects/{project_number}/locations/{location_id}
-                where ``location_id`` refers to a Google Cloud region.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            aspect_type (google.cloud.dataplex_v1.types.AspectType):
-                Required. AspectType Resource.
-                This corresponds to the ``aspect_type`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            aspect_type_id (str):
-                Required. AspectType identifier.
-                This corresponds to the ``aspect_type_id`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation.Operation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.AspectType` AspectType is a template for creating Aspects, and represents the
-                   JSON-schema for a given Entry, for example, BigQuery
-                   Table Schema.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent, aspect_type, aspect_type_id])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, catalog.CreateAspectTypeRequest):
-            request = catalog.CreateAspectTypeRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if parent is not None:
-                request.parent = parent
-            if aspect_type is not None:
-                request.aspect_type = aspect_type
-            if aspect_type_id is not None:
-                request.aspect_type_id = aspect_type_id
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.create_aspect_type]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation.from_gapic(
-            response,
-            self._transport.operations_client,
-            catalog.AspectType,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def update_aspect_type(self,
-            request: Optional[Union[catalog.UpdateAspectTypeRequest, dict]] = None,
-            *,
-            aspect_type: Optional[catalog.AspectType] = None,
-            update_mask: Optional[field_mask_pb2.FieldMask] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation.Operation:
-        r"""Updates an AspectType.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_update_aspect_type():
-                # Create a client
-                client = dataplex_v1.CatalogServiceClient()
-
-                # Initialize request argument(s)
-                aspect_type = dataplex_v1.AspectType()
-                aspect_type.metadata_template.name = "name_value"
-                aspect_type.metadata_template.type_ = "type__value"
-
-                request = dataplex_v1.UpdateAspectTypeRequest(
-                    aspect_type=aspect_type,
-                )
-
-                # Make the request
-                operation = client.update_aspect_type(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = operation.result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.UpdateAspectTypeRequest, dict]):
-                The request object. Update AspectType Request
-            aspect_type (google.cloud.dataplex_v1.types.AspectType):
-                Required. AspectType Resource
-                This corresponds to the ``aspect_type`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            update_mask (google.protobuf.field_mask_pb2.FieldMask):
-                Required. Mask of fields to update.
-                This corresponds to the ``update_mask`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation.Operation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.AspectType` AspectType is a template for creating Aspects, and represents the
-                   JSON-schema for a given Entry, for example, BigQuery
-                   Table Schema.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([aspect_type, update_mask])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, catalog.UpdateAspectTypeRequest):
-            request = catalog.UpdateAspectTypeRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if aspect_type is not None:
-                request.aspect_type = aspect_type
-            if update_mask is not None:
-                request.update_mask = update_mask
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.update_aspect_type]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("aspect_type.name", request.aspect_type.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation.from_gapic(
-            response,
-            self._transport.operations_client,
-            catalog.AspectType,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def delete_aspect_type(self,
-            request: Optional[Union[catalog.DeleteAspectTypeRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation.Operation:
-        r"""Deletes an AspectType.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_delete_aspect_type():
-                # Create a client
-                client = dataplex_v1.CatalogServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.DeleteAspectTypeRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                operation = client.delete_aspect_type(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = operation.result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.DeleteAspectTypeRequest, dict]):
-                The request object. Delele AspectType Request.
-            name (str):
-                Required. The resource name of the AspectType:
-                ``projects/{project_number}/locations/{location_id}/aspectTypes/{aspect_type_id}``.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation.Operation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
-                   empty messages in your APIs. A typical example is to
-                   use it as the request or the response type of an API
-                   method. For instance:
-
-                      service Foo {
-                         rpc Bar(google.protobuf.Empty) returns
-                         (google.protobuf.Empty);
-
-                      }
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, catalog.DeleteAspectTypeRequest):
-            request = catalog.DeleteAspectTypeRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.delete_aspect_type]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation.from_gapic(
-            response,
-            self._transport.operations_client,
-            empty_pb2.Empty,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def list_aspect_types(self,
-            request: Optional[Union[catalog.ListAspectTypesRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> pagers.ListAspectTypesPager:
-        r"""Lists AspectType resources in a project and location.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_list_aspect_types():
-                # Create a client
-                client = dataplex_v1.CatalogServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.ListAspectTypesRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_aspect_types(request=request)
-
-                # Handle the response
-                for response in page_result:
-                    print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.ListAspectTypesRequest, dict]):
-                The request object. List AspectTypes request.
-            parent (str):
-                Required. The resource name of the AspectType location,
-                of the form:
-                ``projects/{project_number}/locations/{location_id}``
-                where ``location_id`` refers to a Google Cloud region.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.services.catalog_service.pagers.ListAspectTypesPager:
-                List AspectTypes response.
-
-                Iterating over this object will yield
-                results and resolve additional pages
-                automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, catalog.ListAspectTypesRequest):
-            request = catalog.ListAspectTypesRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if parent is not None:
-                request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.list_aspect_types]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__iter__` convenience method.
-        response = pagers.ListAspectTypesPager(
-            method=rpc,
-            request=request,
-            response=response,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def get_aspect_type(self,
-            request: Optional[Union[catalog.GetAspectTypeRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> catalog.AspectType:
-        r"""Gets an AspectType.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_get_aspect_type():
-                # Create a client
-                client = dataplex_v1.CatalogServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.GetAspectTypeRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = client.get_aspect_type(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.GetAspectTypeRequest, dict]):
-                The request object. Get AspectType request.
-            name (str):
-                Required. The resource name of the AspectType:
-                ``projects/{project_number}/locations/{location_id}/aspectTypes/{aspect_type_id}``.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.AspectType:
-                AspectType is a template for creating
-                Aspects, and represents the JSON-schema
-                for a given Entry, for example, BigQuery
-                Table Schema.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, catalog.GetAspectTypeRequest):
-            request = catalog.GetAspectTypeRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.get_aspect_type]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def create_entry_group(self,
-            request: Optional[Union[catalog.CreateEntryGroupRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            entry_group: Optional[catalog.EntryGroup] = None,
-            entry_group_id: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation.Operation:
-        r"""Creates an EntryGroup.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_create_entry_group():
-                # Create a client
-                client = dataplex_v1.CatalogServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.CreateEntryGroupRequest(
-                    parent="parent_value",
-                    entry_group_id="entry_group_id_value",
-                )
-
-                # Make the request
-                operation = client.create_entry_group(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = operation.result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.CreateEntryGroupRequest, dict]):
-                The request object. Create EntryGroup Request.
-            parent (str):
-                Required. The resource name of the entryGroup, of the
-                form: projects/{project_number}/locations/{location_id}
-                where ``location_id`` refers to a GCP region.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            entry_group (google.cloud.dataplex_v1.types.EntryGroup):
-                Required. EntryGroup Resource.
-                This corresponds to the ``entry_group`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            entry_group_id (str):
-                Required. EntryGroup identifier.
-                This corresponds to the ``entry_group_id`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation.Operation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be
-                :class:`google.cloud.dataplex_v1.types.EntryGroup` An
-                Entry Group represents a logical grouping of one or more
-                Entries.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent, entry_group, entry_group_id])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, catalog.CreateEntryGroupRequest):
-            request = catalog.CreateEntryGroupRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if parent is not None:
-                request.parent = parent
-            if entry_group is not None:
-                request.entry_group = entry_group
-            if entry_group_id is not None:
-                request.entry_group_id = entry_group_id
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.create_entry_group]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation.from_gapic(
-            response,
-            self._transport.operations_client,
-            catalog.EntryGroup,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def update_entry_group(self,
-            request: Optional[Union[catalog.UpdateEntryGroupRequest, dict]] = None,
-            *,
-            entry_group: Optional[catalog.EntryGroup] = None,
-            update_mask: Optional[field_mask_pb2.FieldMask] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation.Operation:
-        r"""Updates an EntryGroup.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_update_entry_group():
-                # Create a client
-                client = dataplex_v1.CatalogServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.UpdateEntryGroupRequest(
-                )
-
-                # Make the request
-                operation = client.update_entry_group(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = operation.result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.UpdateEntryGroupRequest, dict]):
-                The request object. Update EntryGroup Request.
-            entry_group (google.cloud.dataplex_v1.types.EntryGroup):
-                Required. EntryGroup Resource.
-                This corresponds to the ``entry_group`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            update_mask (google.protobuf.field_mask_pb2.FieldMask):
-                Required. Mask of fields to update.
-                This corresponds to the ``update_mask`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation.Operation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be
-                :class:`google.cloud.dataplex_v1.types.EntryGroup` An
-                Entry Group represents a logical grouping of one or more
-                Entries.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([entry_group, update_mask])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, catalog.UpdateEntryGroupRequest):
-            request = catalog.UpdateEntryGroupRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if entry_group is not None:
-                request.entry_group = entry_group
-            if update_mask is not None:
-                request.update_mask = update_mask
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.update_entry_group]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("entry_group.name", request.entry_group.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation.from_gapic(
-            response,
-            self._transport.operations_client,
-            catalog.EntryGroup,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def delete_entry_group(self,
-            request: Optional[Union[catalog.DeleteEntryGroupRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation.Operation:
-        r"""Deletes an EntryGroup.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_delete_entry_group():
-                # Create a client
-                client = dataplex_v1.CatalogServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.DeleteEntryGroupRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                operation = client.delete_entry_group(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = operation.result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.DeleteEntryGroupRequest, dict]):
-                The request object. Delete EntryGroup Request.
-            name (str):
-                Required. The resource name of the EntryGroup:
-                ``projects/{project_number}/locations/{location_id}/entryGroups/{entry_group_id}``.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation.Operation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
-                   empty messages in your APIs. A typical example is to
-                   use it as the request or the response type of an API
-                   method. For instance:
-
-                      service Foo {
-                         rpc Bar(google.protobuf.Empty) returns
-                         (google.protobuf.Empty);
-
-                      }
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, catalog.DeleteEntryGroupRequest):
-            request = catalog.DeleteEntryGroupRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.delete_entry_group]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation.from_gapic(
-            response,
-            self._transport.operations_client,
-            empty_pb2.Empty,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def list_entry_groups(self,
-            request: Optional[Union[catalog.ListEntryGroupsRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> pagers.ListEntryGroupsPager:
-        r"""Lists EntryGroup resources in a project and location.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_list_entry_groups():
-                # Create a client
-                client = dataplex_v1.CatalogServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.ListEntryGroupsRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_entry_groups(request=request)
-
-                # Handle the response
-                for response in page_result:
-                    print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.ListEntryGroupsRequest, dict]):
-                The request object. List entryGroups request.
-            parent (str):
-                Required. The resource name of the entryGroup location,
-                of the form:
-                ``projects/{project_number}/locations/{location_id}``
-                where ``location_id`` refers to a Google Cloud region.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.services.catalog_service.pagers.ListEntryGroupsPager:
-                List entry groups response.
-
-                Iterating over this object will yield
-                results and resolve additional pages
-                automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, catalog.ListEntryGroupsRequest):
-            request = catalog.ListEntryGroupsRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if parent is not None:
-                request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.list_entry_groups]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__iter__` convenience method.
-        response = pagers.ListEntryGroupsPager(
-            method=rpc,
-            request=request,
-            response=response,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def get_entry_group(self,
-            request: Optional[Union[catalog.GetEntryGroupRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> catalog.EntryGroup:
-        r"""Gets an EntryGroup.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_get_entry_group():
-                # Create a client
-                client = dataplex_v1.CatalogServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.GetEntryGroupRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = client.get_entry_group(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.GetEntryGroupRequest, dict]):
-                The request object. Get EntryGroup request.
-            name (str):
-                Required. The resource name of the EntryGroup:
-                ``projects/{project_number}/locations/{location_id}/entryGroups/{entry_group_id}``.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.EntryGroup:
-                An Entry Group represents a logical
-                grouping of one or more Entries.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, catalog.GetEntryGroupRequest):
-            request = catalog.GetEntryGroupRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.get_entry_group]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def create_entry(self,
-            request: Optional[Union[catalog.CreateEntryRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            entry: Optional[catalog.Entry] = None,
-            entry_id: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> catalog.Entry:
-        r"""Creates an Entry.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_create_entry():
-                # Create a client
-                client = dataplex_v1.CatalogServiceClient()
-
-                # Initialize request argument(s)
-                entry = dataplex_v1.Entry()
-                entry.entry_type = "entry_type_value"
-
-                request = dataplex_v1.CreateEntryRequest(
-                    parent="parent_value",
-                    entry_id="entry_id_value",
-                    entry=entry,
-                )
-
-                # Make the request
-                response = client.create_entry(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.CreateEntryRequest, dict]):
-                The request object. Create Entry request.
-            parent (str):
-                Required. The resource name of the parent Entry Group:
-                ``projects/{project}/locations/{location}/entryGroups/{entry_group}``.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            entry (google.cloud.dataplex_v1.types.Entry):
-                Required. Entry resource.
-                This corresponds to the ``entry`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            entry_id (str):
-                Required. Entry identifier. It has to be unique within
-                an Entry Group.
-
-                Entries corresponding to Google Cloud resources use an
-                Entry ID format based on `full resource
-                names <https://cloud.google.com/apis/design/resource_names#full_resource_name>`__.
-                The format is a full resource name of the resource
-                without the prefix double slashes in the API service
-                name part of the full resource name. This allows
-                retrieval of entries using their associated resource
-                name.
-
-                For example, if the full resource name of a resource is
-                ``//library.googleapis.com/shelves/shelf1/books/book2``,
-                then the suggested entry_id is
-                ``library.googleapis.com/shelves/shelf1/books/book2``.
-
-                It is also suggested to follow the same convention for
-                entries corresponding to resources from providers or
-                systems other than Google Cloud.
-
-                The maximum size of the field is 4000 characters.
-
-                This corresponds to the ``entry_id`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.Entry:
-                An entry is a representation of a
-                data resource that can be described by
-                various metadata.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent, entry, entry_id])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, catalog.CreateEntryRequest):
-            request = catalog.CreateEntryRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if parent is not None:
-                request.parent = parent
-            if entry is not None:
-                request.entry = entry
-            if entry_id is not None:
-                request.entry_id = entry_id
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.create_entry]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def update_entry(self,
-            request: Optional[Union[catalog.UpdateEntryRequest, dict]] = None,
-            *,
-            entry: Optional[catalog.Entry] = None,
-            update_mask: Optional[field_mask_pb2.FieldMask] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> catalog.Entry:
-        r"""Updates an Entry.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_update_entry():
-                # Create a client
-                client = dataplex_v1.CatalogServiceClient()
-
-                # Initialize request argument(s)
-                entry = dataplex_v1.Entry()
-                entry.entry_type = "entry_type_value"
-
-                request = dataplex_v1.UpdateEntryRequest(
-                    entry=entry,
-                )
-
-                # Make the request
-                response = client.update_entry(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.UpdateEntryRequest, dict]):
-                The request object. Update Entry request.
-            entry (google.cloud.dataplex_v1.types.Entry):
-                Required. Entry resource.
-                This corresponds to the ``entry`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            update_mask (google.protobuf.field_mask_pb2.FieldMask):
-                Optional. Mask of fields to update. To update Aspects,
-                the update_mask must contain the value "aspects".
-
-                If the update_mask is empty, the service will update all
-                modifiable fields present in the request.
-
-                This corresponds to the ``update_mask`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.Entry:
-                An entry is a representation of a
-                data resource that can be described by
-                various metadata.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([entry, update_mask])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, catalog.UpdateEntryRequest):
-            request = catalog.UpdateEntryRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if entry is not None:
-                request.entry = entry
-            if update_mask is not None:
-                request.update_mask = update_mask
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.update_entry]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("entry.name", request.entry.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def delete_entry(self,
-            request: Optional[Union[catalog.DeleteEntryRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> catalog.Entry:
-        r"""Deletes an Entry.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_delete_entry():
-                # Create a client
-                client = dataplex_v1.CatalogServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.DeleteEntryRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = client.delete_entry(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.DeleteEntryRequest, dict]):
-                The request object. Delete Entry request.
-            name (str):
-                Required. The resource name of the Entry:
-                ``projects/{project}/locations/{location}/entryGroups/{entry_group}/entries/{entry}``.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.Entry:
-                An entry is a representation of a
-                data resource that can be described by
-                various metadata.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, catalog.DeleteEntryRequest):
-            request = catalog.DeleteEntryRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.delete_entry]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def list_entries(self,
-            request: Optional[Union[catalog.ListEntriesRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> pagers.ListEntriesPager:
-        r"""Lists Entries within an EntryGroup.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_list_entries():
-                # Create a client
-                client = dataplex_v1.CatalogServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.ListEntriesRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_entries(request=request)
-
-                # Handle the response
-                for response in page_result:
-                    print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.ListEntriesRequest, dict]):
-                The request object. List Entries request.
-            parent (str):
-                Required. The resource name of the parent Entry Group:
-                ``projects/{project}/locations/{location}/entryGroups/{entry_group}``.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.services.catalog_service.pagers.ListEntriesPager:
-                List Entries response.
-
-                Iterating over this object will yield
-                results and resolve additional pages
-                automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, catalog.ListEntriesRequest):
-            request = catalog.ListEntriesRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if parent is not None:
-                request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.list_entries]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__iter__` convenience method.
-        response = pagers.ListEntriesPager(
-            method=rpc,
-            request=request,
-            response=response,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def get_entry(self,
-            request: Optional[Union[catalog.GetEntryRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> catalog.Entry:
-        r"""Gets an Entry.
-
-        **Caution**: The BigQuery metadata that is stored in Dataplex
-        Catalog is changing. For more information, see `Changes to
-        BigQuery metadata stored in Dataplex
-        Catalog <https://cloud.google.com/dataplex/docs/biqquery-metadata-changes>`__.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_get_entry():
-                # Create a client
-                client = dataplex_v1.CatalogServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.GetEntryRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = client.get_entry(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.GetEntryRequest, dict]):
-                The request object. Get Entry request.
-            name (str):
-                Required. The resource name of the Entry:
-                ``projects/{project}/locations/{location}/entryGroups/{entry_group}/entries/{entry}``.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.Entry:
-                An entry is a representation of a
-                data resource that can be described by
-                various metadata.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, catalog.GetEntryRequest):
-            request = catalog.GetEntryRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.get_entry]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def lookup_entry(self,
-            request: Optional[Union[catalog.LookupEntryRequest, dict]] = None,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> catalog.Entry:
-        r"""Looks up a single Entry by name using the permission on the
-        source system.
-
-        **Caution**: The BigQuery metadata that is stored in Dataplex
-        Catalog is changing. For more information, see `Changes to
-        BigQuery metadata stored in Dataplex
-        Catalog <https://cloud.google.com/dataplex/docs/biqquery-metadata-changes>`__.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_lookup_entry():
-                # Create a client
-                client = dataplex_v1.CatalogServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.LookupEntryRequest(
-                    name="name_value",
-                    entry="entry_value",
-                )
-
-                # Make the request
-                response = client.lookup_entry(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.LookupEntryRequest, dict]):
-                The request object. Lookup Entry request using
-                permissions in the source system.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.Entry:
-                An entry is a representation of a
-                data resource that can be described by
-                various metadata.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, catalog.LookupEntryRequest):
-            request = catalog.LookupEntryRequest(request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.lookup_entry]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def search_entries(self,
-            request: Optional[Union[catalog.SearchEntriesRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            query: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> pagers.SearchEntriesPager:
-        r"""Searches for Entries matching the given query and
-        scope.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_search_entries():
-                # Create a client
-                client = dataplex_v1.CatalogServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.SearchEntriesRequest(
-                    name="name_value",
-                    query="query_value",
-                )
-
-                # Make the request
-                page_result = client.search_entries(request=request)
-
-                # Handle the response
-                for response in page_result:
-                    print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.SearchEntriesRequest, dict]):
-                The request object.
-            name (str):
-                Required. The project to which the request should be
-                attributed in the following form:
-                ``projects/{project}/locations/{location}``.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            query (str):
-                Required. The query against which
-                entries in scope should be matched.
-
-                This corresponds to the ``query`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.services.catalog_service.pagers.SearchEntriesPager:
-                Iterating over this object will yield
-                results and resolve additional pages
-                automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name, query])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, catalog.SearchEntriesRequest):
-            request = catalog.SearchEntriesRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-            if query is not None:
-                request.query = query
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.search_entries]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__iter__` convenience method.
-        response = pagers.SearchEntriesPager(
-            method=rpc,
-            request=request,
-            response=response,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def create_metadata_job(self,
-            request: Optional[Union[catalog.CreateMetadataJobRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            metadata_job: Optional[catalog.MetadataJob] = None,
-            metadata_job_id: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation.Operation:
-        r"""Creates a metadata job. For example, use a metadata
-        job to import Dataplex Catalog entries and aspects from
-        a third-party system into Dataplex.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_create_metadata_job():
-                # Create a client
-                client = dataplex_v1.CatalogServiceClient()
-
-                # Initialize request argument(s)
-                metadata_job = dataplex_v1.MetadataJob()
-                metadata_job.import_spec.scope.entry_groups = ['entry_groups_value1', 'entry_groups_value2']
-                metadata_job.import_spec.scope.entry_types = ['entry_types_value1', 'entry_types_value2']
-                metadata_job.import_spec.entry_sync_mode = "INCREMENTAL"
-                metadata_job.import_spec.aspect_sync_mode = "INCREMENTAL"
-                metadata_job.type_ = "IMPORT"
-
-                request = dataplex_v1.CreateMetadataJobRequest(
-                    parent="parent_value",
-                    metadata_job=metadata_job,
-                )
-
-                # Make the request
-                operation = client.create_metadata_job(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = operation.result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.CreateMetadataJobRequest, dict]):
-                The request object. Create metadata job request.
-            parent (str):
-                Required. The resource name of the parent location, in
-                the format
-                ``projects/{project_id_or_number}/locations/{location_id}``
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            metadata_job (google.cloud.dataplex_v1.types.MetadataJob):
-                Required. The metadata job resource.
-                This corresponds to the ``metadata_job`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            metadata_job_id (str):
-                Optional. The metadata job ID. If not provided, a unique
-                ID is generated with the prefix ``metadata-job-``.
-
-                This corresponds to the ``metadata_job_id`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation.Operation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be
-                :class:`google.cloud.dataplex_v1.types.MetadataJob` A
-                metadata job resource.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent, metadata_job, metadata_job_id])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, catalog.CreateMetadataJobRequest):
-            request = catalog.CreateMetadataJobRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if parent is not None:
-                request.parent = parent
-            if metadata_job is not None:
-                request.metadata_job = metadata_job
-            if metadata_job_id is not None:
-                request.metadata_job_id = metadata_job_id
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.create_metadata_job]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation.from_gapic(
-            response,
-            self._transport.operations_client,
-            catalog.MetadataJob,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def get_metadata_job(self,
-            request: Optional[Union[catalog.GetMetadataJobRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> catalog.MetadataJob:
-        r"""Gets a metadata job.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_get_metadata_job():
-                # Create a client
-                client = dataplex_v1.CatalogServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.GetMetadataJobRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = client.get_metadata_job(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.GetMetadataJobRequest, dict]):
-                The request object. Get metadata job request.
-            name (str):
-                Required. The resource name of the metadata job, in the
-                format
-                ``projects/{project_id_or_number}/locations/{location_id}/metadataJobs/{metadata_job_id}``.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.MetadataJob:
-                A metadata job resource.
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, catalog.GetMetadataJobRequest):
-            request = catalog.GetMetadataJobRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.get_metadata_job]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def list_metadata_jobs(self,
-            request: Optional[Union[catalog.ListMetadataJobsRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> pagers.ListMetadataJobsPager:
-        r"""Lists metadata jobs.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_list_metadata_jobs():
-                # Create a client
-                client = dataplex_v1.CatalogServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.ListMetadataJobsRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_metadata_jobs(request=request)
-
-                # Handle the response
-                for response in page_result:
-                    print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.ListMetadataJobsRequest, dict]):
-                The request object. List metadata jobs request.
-            parent (str):
-                Required. The resource name of the parent location, in
-                the format
-                ``projects/{project_id_or_number}/locations/{location_id}``
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.services.catalog_service.pagers.ListMetadataJobsPager:
-                List metadata jobs response.
-
-                Iterating over this object will yield
-                results and resolve additional pages
-                automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, catalog.ListMetadataJobsRequest):
-            request = catalog.ListMetadataJobsRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if parent is not None:
-                request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.list_metadata_jobs]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__iter__` convenience method.
-        response = pagers.ListMetadataJobsPager(
-            method=rpc,
-            request=request,
-            response=response,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def cancel_metadata_job(self,
-            request: Optional[Union[catalog.CancelMetadataJobRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> None:
-        r"""Cancels a metadata job.
-
-        If you cancel a metadata import job that is in progress,
-        the changes in the job might be partially applied. We
-        recommend that you reset the state of the entry groups
-        in your project by running another metadata job that
-        reverts the changes from the canceled job.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_cancel_metadata_job():
-                # Create a client
-                client = dataplex_v1.CatalogServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.CancelMetadataJobRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                client.cancel_metadata_job(request=request)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.CancelMetadataJobRequest, dict]):
-                The request object. Cancel metadata job request.
-            name (str):
-                Required. The resource name of the job, in the format
-                ``projects/{project_id_or_number}/locations/{location_id}/metadataJobs/{metadata_job_id}``
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, catalog.CancelMetadataJobRequest):
-            request = catalog.CancelMetadataJobRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.cancel_metadata_job]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-    def __enter__(self) -> "CatalogServiceClient":
-        return self
-
-    def __exit__(self, type, value, traceback):
-        """Releases underlying transport's resources.
-
-        .. warning::
-            ONLY use as a context manager if the transport is NOT shared
-            with other clients! Exiting the with block will CLOSE the transport
-            and may cause errors in other clients!
-        """
-        self.transport.close()
-
-    def list_operations(
-        self,
-        request: Optional[operations_pb2.ListOperationsRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operations_pb2.ListOperationsResponse:
-        r"""Lists operations that match the specified filter in the request.
-
-        Args:
-            request (:class:`~.operations_pb2.ListOperationsRequest`):
-                The request object. Request message for
-                `ListOperations` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.operations_pb2.ListOperationsResponse:
-                Response message for ``ListOperations`` method.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.ListOperationsRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.list_operations]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request, retry=retry, timeout=timeout, metadata=metadata,)
-
-        # Done; return the response.
-        return response
-
-    def get_operation(
-        self,
-        request: Optional[operations_pb2.GetOperationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operations_pb2.Operation:
-        r"""Gets the latest state of a long-running operation.
-
-        Args:
-            request (:class:`~.operations_pb2.GetOperationRequest`):
-                The request object. Request message for
-                `GetOperation` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.operations_pb2.Operation:
-                An ``Operation`` object.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.GetOperationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.get_operation]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request, retry=retry, timeout=timeout, metadata=metadata,)
-
-        # Done; return the response.
-        return response
-
-    def delete_operation(
-        self,
-        request: Optional[operations_pb2.DeleteOperationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> None:
-        r"""Deletes a long-running operation.
-
-        This method indicates that the client is no longer interested
-        in the operation result. It does not cancel the operation.
-        If the server doesn't support this method, it returns
-        `google.rpc.Code.UNIMPLEMENTED`.
-
-        Args:
-            request (:class:`~.operations_pb2.DeleteOperationRequest`):
-                The request object. Request message for
-                `DeleteOperation` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            None
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.DeleteOperationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.delete_operation]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
-
-    def cancel_operation(
-        self,
-        request: Optional[operations_pb2.CancelOperationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> None:
-        r"""Starts asynchronous cancellation on a long-running operation.
-
-        The server makes a best effort to cancel the operation, but success
-        is not guaranteed.  If the server doesn't support this method, it returns
-        `google.rpc.Code.UNIMPLEMENTED`.
-
-        Args:
-            request (:class:`~.operations_pb2.CancelOperationRequest`):
-                The request object. Request message for
-                `CancelOperation` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            None
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.CancelOperationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.cancel_operation]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
-
-    def get_location(
-        self,
-        request: Optional[locations_pb2.GetLocationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> locations_pb2.Location:
-        r"""Gets information about a location.
-
-        Args:
-            request (:class:`~.location_pb2.GetLocationRequest`):
-                The request object. Request message for
-                `GetLocation` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                 if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.location_pb2.Location:
-                Location object.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = locations_pb2.GetLocationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.get_location]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request, retry=retry, timeout=timeout, metadata=metadata,)
-
-        # Done; return the response.
-        return response
-
-    def list_locations(
-        self,
-        request: Optional[locations_pb2.ListLocationsRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> locations_pb2.ListLocationsResponse:
-        r"""Lists information about the supported locations for this service.
-
-        Args:
-            request (:class:`~.location_pb2.ListLocationsRequest`):
-                The request object. Request message for
-                `ListLocations` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                 if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.location_pb2.ListLocationsResponse:
-                Response message for ``ListLocations`` method.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = locations_pb2.ListLocationsRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.list_locations]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request, retry=retry, timeout=timeout, metadata=metadata,)
-
-        # Done; return the response.
-        return response
-
-
-DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(gapic_version=package_version.__version__)
-
-
-__all__ = (
-    "CatalogServiceClient",
-)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/catalog_service/pagers.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/catalog_service/pagers.py
deleted file mode 100644
index 224b831f513a..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/catalog_service/pagers.py
+++ /dev/null
@@ -1,837 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from google.api_core import gapic_v1
-from google.api_core import retry as retries
-from google.api_core import retry_async as retries_async
-from typing import Any, AsyncIterator, Awaitable, Callable, Sequence, Tuple, Optional, Iterator, Union
-try:
-    OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None]
-    OptionalAsyncRetry = Union[retries_async.AsyncRetry, gapic_v1.method._MethodDefault, None]
-except AttributeError:  # pragma: NO COVER
-    OptionalRetry = Union[retries.Retry, object, None]  # type: ignore
-    OptionalAsyncRetry = Union[retries_async.AsyncRetry, object, None]  # type: ignore
-
-from google.cloud.dataplex_v1.types import catalog
-
-
-class ListEntryTypesPager:
-    """A pager for iterating through ``list_entry_types`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.dataplex_v1.types.ListEntryTypesResponse` object, and
-    provides an ``__iter__`` method to iterate through its
-    ``entry_types`` field.
-
-    If there are more pages, the ``__iter__`` method will make additional
-    ``ListEntryTypes`` requests and continue to iterate
-    through the ``entry_types`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.dataplex_v1.types.ListEntryTypesResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-    def __init__(self,
-            method: Callable[..., catalog.ListEntryTypesResponse],
-            request: catalog.ListEntryTypesRequest,
-            response: catalog.ListEntryTypesResponse,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = ()):
-        """Instantiate the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.dataplex_v1.types.ListEntryTypesRequest):
-                The initial request object.
-            response (google.cloud.dataplex_v1.types.ListEntryTypesResponse):
-                The initial response object.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = catalog.ListEntryTypesRequest(request)
-        self._response = response
-        self._retry = retry
-        self._timeout = timeout
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    def pages(self) -> Iterator[catalog.ListEntryTypesResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
-            yield self._response
-
-    def __iter__(self) -> Iterator[catalog.EntryType]:
-        for page in self.pages:
-            yield from page.entry_types
-
-    def __repr__(self) -> str:
-        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
-
-
-class ListEntryTypesAsyncPager:
-    """A pager for iterating through ``list_entry_types`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.dataplex_v1.types.ListEntryTypesResponse` object, and
-    provides an ``__aiter__`` method to iterate through its
-    ``entry_types`` field.
-
-    If there are more pages, the ``__aiter__`` method will make additional
-    ``ListEntryTypes`` requests and continue to iterate
-    through the ``entry_types`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.dataplex_v1.types.ListEntryTypesResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-    def __init__(self,
-            method: Callable[..., Awaitable[catalog.ListEntryTypesResponse]],
-            request: catalog.ListEntryTypesRequest,
-            response: catalog.ListEntryTypesResponse,
-            *,
-            retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = ()):
-        """Instantiates the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.dataplex_v1.types.ListEntryTypesRequest):
-                The initial request object.
-            response (google.cloud.dataplex_v1.types.ListEntryTypesResponse):
-                The initial response object.
-            retry (google.api_core.retry.AsyncRetry): Designation of what errors,
-                if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = catalog.ListEntryTypesRequest(request)
-        self._response = response
-        self._retry = retry
-        self._timeout = timeout
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    async def pages(self) -> AsyncIterator[catalog.ListEntryTypesResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = await self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
-            yield self._response
-    def __aiter__(self) -> AsyncIterator[catalog.EntryType]:
-        async def async_generator():
-            async for page in self.pages:
-                for response in page.entry_types:
-                    yield response
-
-        return async_generator()
-
-    def __repr__(self) -> str:
-        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
-
-
-class ListAspectTypesPager:
-    """A pager for iterating through ``list_aspect_types`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.dataplex_v1.types.ListAspectTypesResponse` object, and
-    provides an ``__iter__`` method to iterate through its
-    ``aspect_types`` field.
-
-    If there are more pages, the ``__iter__`` method will make additional
-    ``ListAspectTypes`` requests and continue to iterate
-    through the ``aspect_types`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.dataplex_v1.types.ListAspectTypesResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-    def __init__(self,
-            method: Callable[..., catalog.ListAspectTypesResponse],
-            request: catalog.ListAspectTypesRequest,
-            response: catalog.ListAspectTypesResponse,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = ()):
-        """Instantiate the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.dataplex_v1.types.ListAspectTypesRequest):
-                The initial request object.
-            response (google.cloud.dataplex_v1.types.ListAspectTypesResponse):
-                The initial response object.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = catalog.ListAspectTypesRequest(request)
-        self._response = response
-        self._retry = retry
-        self._timeout = timeout
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    def pages(self) -> Iterator[catalog.ListAspectTypesResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
-            yield self._response
-
-    def __iter__(self) -> Iterator[catalog.AspectType]:
-        for page in self.pages:
-            yield from page.aspect_types
-
-    def __repr__(self) -> str:
-        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
-
-
-class ListAspectTypesAsyncPager:
-    """A pager for iterating through ``list_aspect_types`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.dataplex_v1.types.ListAspectTypesResponse` object, and
-    provides an ``__aiter__`` method to iterate through its
-    ``aspect_types`` field.
-
-    If there are more pages, the ``__aiter__`` method will make additional
-    ``ListAspectTypes`` requests and continue to iterate
-    through the ``aspect_types`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.dataplex_v1.types.ListAspectTypesResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-    def __init__(self,
-            method: Callable[..., Awaitable[catalog.ListAspectTypesResponse]],
-            request: catalog.ListAspectTypesRequest,
-            response: catalog.ListAspectTypesResponse,
-            *,
-            retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = ()):
-        """Instantiates the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.dataplex_v1.types.ListAspectTypesRequest):
-                The initial request object.
-            response (google.cloud.dataplex_v1.types.ListAspectTypesResponse):
-                The initial response object.
-            retry (google.api_core.retry.AsyncRetry): Designation of what errors,
-                if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = catalog.ListAspectTypesRequest(request)
-        self._response = response
-        self._retry = retry
-        self._timeout = timeout
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    async def pages(self) -> AsyncIterator[catalog.ListAspectTypesResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = await self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
-            yield self._response
-    def __aiter__(self) -> AsyncIterator[catalog.AspectType]:
-        async def async_generator():
-            async for page in self.pages:
-                for response in page.aspect_types:
-                    yield response
-
-        return async_generator()
-
-    def __repr__(self) -> str:
-        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
-
-
-class ListEntryGroupsPager:
-    """A pager for iterating through ``list_entry_groups`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.dataplex_v1.types.ListEntryGroupsResponse` object, and
-    provides an ``__iter__`` method to iterate through its
-    ``entry_groups`` field.
-
-    If there are more pages, the ``__iter__`` method will make additional
-    ``ListEntryGroups`` requests and continue to iterate
-    through the ``entry_groups`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.dataplex_v1.types.ListEntryGroupsResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-    def __init__(self,
-            method: Callable[..., catalog.ListEntryGroupsResponse],
-            request: catalog.ListEntryGroupsRequest,
-            response: catalog.ListEntryGroupsResponse,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = ()):
-        """Instantiate the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.dataplex_v1.types.ListEntryGroupsRequest):
-                The initial request object.
-            response (google.cloud.dataplex_v1.types.ListEntryGroupsResponse):
-                The initial response object.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = catalog.ListEntryGroupsRequest(request)
-        self._response = response
-        self._retry = retry
-        self._timeout = timeout
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    def pages(self) -> Iterator[catalog.ListEntryGroupsResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
-            yield self._response
-
-    def __iter__(self) -> Iterator[catalog.EntryGroup]:
-        for page in self.pages:
-            yield from page.entry_groups
-
-    def __repr__(self) -> str:
-        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
-
-
-class ListEntryGroupsAsyncPager:
-    """A pager for iterating through ``list_entry_groups`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.dataplex_v1.types.ListEntryGroupsResponse` object, and
-    provides an ``__aiter__`` method to iterate through its
-    ``entry_groups`` field.
-
-    If there are more pages, the ``__aiter__`` method will make additional
-    ``ListEntryGroups`` requests and continue to iterate
-    through the ``entry_groups`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.dataplex_v1.types.ListEntryGroupsResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-    def __init__(self,
-            method: Callable[..., Awaitable[catalog.ListEntryGroupsResponse]],
-            request: catalog.ListEntryGroupsRequest,
-            response: catalog.ListEntryGroupsResponse,
-            *,
-            retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = ()):
-        """Instantiates the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.dataplex_v1.types.ListEntryGroupsRequest):
-                The initial request object.
-            response (google.cloud.dataplex_v1.types.ListEntryGroupsResponse):
-                The initial response object.
-            retry (google.api_core.retry.AsyncRetry): Designation of what errors,
-                if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = catalog.ListEntryGroupsRequest(request)
-        self._response = response
-        self._retry = retry
-        self._timeout = timeout
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    async def pages(self) -> AsyncIterator[catalog.ListEntryGroupsResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = await self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
-            yield self._response
-    def __aiter__(self) -> AsyncIterator[catalog.EntryGroup]:
-        async def async_generator():
-            async for page in self.pages:
-                for response in page.entry_groups:
-                    yield response
-
-        return async_generator()
-
-    def __repr__(self) -> str:
-        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
-
-
-class ListEntriesPager:
-    """A pager for iterating through ``list_entries`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.dataplex_v1.types.ListEntriesResponse` object, and
-    provides an ``__iter__`` method to iterate through its
-    ``entries`` field.
-
-    If there are more pages, the ``__iter__`` method will make additional
-    ``ListEntries`` requests and continue to iterate
-    through the ``entries`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.dataplex_v1.types.ListEntriesResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-    def __init__(self,
-            method: Callable[..., catalog.ListEntriesResponse],
-            request: catalog.ListEntriesRequest,
-            response: catalog.ListEntriesResponse,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = ()):
-        """Instantiate the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.dataplex_v1.types.ListEntriesRequest):
-                The initial request object.
-            response (google.cloud.dataplex_v1.types.ListEntriesResponse):
-                The initial response object.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = catalog.ListEntriesRequest(request)
-        self._response = response
-        self._retry = retry
-        self._timeout = timeout
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    def pages(self) -> Iterator[catalog.ListEntriesResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
-            yield self._response
-
-    def __iter__(self) -> Iterator[catalog.Entry]:
-        for page in self.pages:
-            yield from page.entries
-
-    def __repr__(self) -> str:
-        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
-
-
-class ListEntriesAsyncPager:
-    """A pager for iterating through ``list_entries`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.dataplex_v1.types.ListEntriesResponse` object, and
-    provides an ``__aiter__`` method to iterate through its
-    ``entries`` field.
-
-    If there are more pages, the ``__aiter__`` method will make additional
-    ``ListEntries`` requests and continue to iterate
-    through the ``entries`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.dataplex_v1.types.ListEntriesResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-    def __init__(self,
-            method: Callable[..., Awaitable[catalog.ListEntriesResponse]],
-            request: catalog.ListEntriesRequest,
-            response: catalog.ListEntriesResponse,
-            *,
-            retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = ()):
-        """Instantiates the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.dataplex_v1.types.ListEntriesRequest):
-                The initial request object.
-            response (google.cloud.dataplex_v1.types.ListEntriesResponse):
-                The initial response object.
-            retry (google.api_core.retry.AsyncRetry): Designation of what errors,
-                if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = catalog.ListEntriesRequest(request)
-        self._response = response
-        self._retry = retry
-        self._timeout = timeout
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    async def pages(self) -> AsyncIterator[catalog.ListEntriesResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = await self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
-            yield self._response
-    def __aiter__(self) -> AsyncIterator[catalog.Entry]:
-        async def async_generator():
-            async for page in self.pages:
-                for response in page.entries:
-                    yield response
-
-        return async_generator()
-
-    def __repr__(self) -> str:
-        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
-
-
-class SearchEntriesPager:
-    """A pager for iterating through ``search_entries`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.dataplex_v1.types.SearchEntriesResponse` object, and
-    provides an ``__iter__`` method to iterate through its
-    ``results`` field.
-
-    If there are more pages, the ``__iter__`` method will make additional
-    ``SearchEntries`` requests and continue to iterate
-    through the ``results`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.dataplex_v1.types.SearchEntriesResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-    def __init__(self,
-            method: Callable[..., catalog.SearchEntriesResponse],
-            request: catalog.SearchEntriesRequest,
-            response: catalog.SearchEntriesResponse,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = ()):
-        """Instantiate the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.dataplex_v1.types.SearchEntriesRequest):
-                The initial request object.
-            response (google.cloud.dataplex_v1.types.SearchEntriesResponse):
-                The initial response object.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = catalog.SearchEntriesRequest(request)
-        self._response = response
-        self._retry = retry
-        self._timeout = timeout
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    def pages(self) -> Iterator[catalog.SearchEntriesResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
-            yield self._response
-
-    def __iter__(self) -> Iterator[catalog.SearchEntriesResult]:
-        for page in self.pages:
-            yield from page.results
-
-    def __repr__(self) -> str:
-        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
-
-
-class SearchEntriesAsyncPager:
-    """A pager for iterating through ``search_entries`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.dataplex_v1.types.SearchEntriesResponse` object, and
-    provides an ``__aiter__`` method to iterate through its
-    ``results`` field.
-
-    If there are more pages, the ``__aiter__`` method will make additional
-    ``SearchEntries`` requests and continue to iterate
-    through the ``results`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.dataplex_v1.types.SearchEntriesResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-    def __init__(self,
-            method: Callable[..., Awaitable[catalog.SearchEntriesResponse]],
-            request: catalog.SearchEntriesRequest,
-            response: catalog.SearchEntriesResponse,
-            *,
-            retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = ()):
-        """Instantiates the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.dataplex_v1.types.SearchEntriesRequest):
-                The initial request object.
-            response (google.cloud.dataplex_v1.types.SearchEntriesResponse):
-                The initial response object.
-            retry (google.api_core.retry.AsyncRetry): Designation of what errors,
-                if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = catalog.SearchEntriesRequest(request)
-        self._response = response
-        self._retry = retry
-        self._timeout = timeout
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    async def pages(self) -> AsyncIterator[catalog.SearchEntriesResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = await self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
-            yield self._response
-    def __aiter__(self) -> AsyncIterator[catalog.SearchEntriesResult]:
-        async def async_generator():
-            async for page in self.pages:
-                for response in page.results:
-                    yield response
-
-        return async_generator()
-
-    def __repr__(self) -> str:
-        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
-
-
-class ListMetadataJobsPager:
-    """A pager for iterating through ``list_metadata_jobs`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.dataplex_v1.types.ListMetadataJobsResponse` object, and
-    provides an ``__iter__`` method to iterate through its
-    ``metadata_jobs`` field.
-
-    If there are more pages, the ``__iter__`` method will make additional
-    ``ListMetadataJobs`` requests and continue to iterate
-    through the ``metadata_jobs`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.dataplex_v1.types.ListMetadataJobsResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-    def __init__(self,
-            method: Callable[..., catalog.ListMetadataJobsResponse],
-            request: catalog.ListMetadataJobsRequest,
-            response: catalog.ListMetadataJobsResponse,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = ()):
-        """Instantiate the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.dataplex_v1.types.ListMetadataJobsRequest):
-                The initial request object.
-            response (google.cloud.dataplex_v1.types.ListMetadataJobsResponse):
-                The initial response object.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = catalog.ListMetadataJobsRequest(request)
-        self._response = response
-        self._retry = retry
-        self._timeout = timeout
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    def pages(self) -> Iterator[catalog.ListMetadataJobsResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
-            yield self._response
-
-    def __iter__(self) -> Iterator[catalog.MetadataJob]:
-        for page in self.pages:
-            yield from page.metadata_jobs
-
-    def __repr__(self) -> str:
-        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
-
-
-class ListMetadataJobsAsyncPager:
-    """A pager for iterating through ``list_metadata_jobs`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.dataplex_v1.types.ListMetadataJobsResponse` object, and
-    provides an ``__aiter__`` method to iterate through its
-    ``metadata_jobs`` field.
-
-    If there are more pages, the ``__aiter__`` method will make additional
-    ``ListMetadataJobs`` requests and continue to iterate
-    through the ``metadata_jobs`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.dataplex_v1.types.ListMetadataJobsResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-    def __init__(self,
-            method: Callable[..., Awaitable[catalog.ListMetadataJobsResponse]],
-            request: catalog.ListMetadataJobsRequest,
-            response: catalog.ListMetadataJobsResponse,
-            *,
-            retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = ()):
-        """Instantiates the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.dataplex_v1.types.ListMetadataJobsRequest):
-                The initial request object.
-            response (google.cloud.dataplex_v1.types.ListMetadataJobsResponse):
-                The initial response object.
-            retry (google.api_core.retry.AsyncRetry): Designation of what errors,
-                if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = catalog.ListMetadataJobsRequest(request)
-        self._response = response
-        self._retry = retry
-        self._timeout = timeout
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    async def pages(self) -> AsyncIterator[catalog.ListMetadataJobsResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = await self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
-            yield self._response
-    def __aiter__(self) -> AsyncIterator[catalog.MetadataJob]:
-        async def async_generator():
-            async for page in self.pages:
-                for response in page.metadata_jobs:
-                    yield response
-
-        return async_generator()
-
-    def __repr__(self) -> str:
-        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/catalog_service/transports/README.rst b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/catalog_service/transports/README.rst
deleted file mode 100644
index c14dcbeef235..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/catalog_service/transports/README.rst
+++ /dev/null
@@ -1,9 +0,0 @@
-
-transport inheritance structure
-_______________________________
-
-`CatalogServiceTransport` is the ABC for all transports.
-- public child `CatalogServiceGrpcTransport` for sync gRPC transport (defined in `grpc.py`).
-- public child `CatalogServiceGrpcAsyncIOTransport` for async gRPC transport (defined in `grpc_asyncio.py`).
-- private child `_BaseCatalogServiceRestTransport` for base REST transport with inner classes `_BaseMETHOD` (defined in `rest_base.py`).
-- public child `CatalogServiceRestTransport` for sync REST transport with inner classes `METHOD` derived from the parent's corresponding `_BaseMETHOD` classes (defined in `rest.py`).
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/catalog_service/transports/__init__.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/catalog_service/transports/__init__.py
deleted file mode 100644
index 7e6b046ff29f..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/catalog_service/transports/__init__.py
+++ /dev/null
@@ -1,33 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from collections import OrderedDict
-from typing import Dict, Type
-
-from .base import CatalogServiceTransport
-from .grpc import CatalogServiceGrpcTransport
-from .grpc_asyncio import CatalogServiceGrpcAsyncIOTransport
-
-
-# Compile a registry of transports.
-_transport_registry = OrderedDict()  # type: Dict[str, Type[CatalogServiceTransport]]
-_transport_registry['grpc'] = CatalogServiceGrpcTransport
-_transport_registry['grpc_asyncio'] = CatalogServiceGrpcAsyncIOTransport
-
-__all__ = (
-    'CatalogServiceTransport',
-    'CatalogServiceGrpcTransport',
-    'CatalogServiceGrpcAsyncIOTransport',
-)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/catalog_service/transports/base.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/catalog_service/transports/base.py
deleted file mode 100644
index dc0255a4f11a..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/catalog_service/transports/base.py
+++ /dev/null
@@ -1,707 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-import abc
-from typing import Awaitable, Callable, Dict, Optional, Sequence, Union
-
-from google.cloud.dataplex_v1 import gapic_version as package_version
-
-import google.auth  # type: ignore
-import google.api_core
-from google.api_core import exceptions as core_exceptions
-from google.api_core import gapic_v1
-from google.api_core import retry as retries
-from google.api_core import operations_v1
-from google.auth import credentials as ga_credentials  # type: ignore
-from google.oauth2 import service_account # type: ignore
-
-from google.cloud.dataplex_v1.types import catalog
-from google.cloud.location import locations_pb2 # type: ignore
-from google.iam.v1 import iam_policy_pb2  # type: ignore
-from google.iam.v1 import policy_pb2  # type: ignore
-from google.longrunning import operations_pb2 # type: ignore
-from google.protobuf import empty_pb2  # type: ignore
-
-DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(gapic_version=package_version.__version__)
-
-
-class CatalogServiceTransport(abc.ABC):
-    """Abstract transport class for CatalogService."""
-
-    AUTH_SCOPES = (
-        'https://www.googleapis.com/auth/cloud-platform',
-    )
-
-    DEFAULT_HOST: str = 'dataplex.googleapis.com'
-    def __init__(
-            self, *,
-            host: str = DEFAULT_HOST,
-            credentials: Optional[ga_credentials.Credentials] = None,
-            credentials_file: Optional[str] = None,
-            scopes: Optional[Sequence[str]] = None,
-            quota_project_id: Optional[str] = None,
-            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-            always_use_jwt_access: Optional[bool] = False,
-            api_audience: Optional[str] = None,
-            **kwargs,
-            ) -> None:
-        """Instantiate the transport.
-
-        Args:
-            host (Optional[str]):
-                 The hostname to connect to (default: 'dataplex.googleapis.com').
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-                This argument is mutually exclusive with credentials.
-            scopes (Optional[Sequence[str]]): A list of scopes.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
-                The client info used to send a user-agent string along with
-                API requests. If ``None``, then default info will be used.
-                Generally, you only need to set this if you're developing
-                your own client library.
-            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
-                be used for service account credentials.
-        """
-
-        scopes_kwargs = {"scopes": scopes, "default_scopes": self.AUTH_SCOPES}
-
-        # Save the scopes.
-        self._scopes = scopes
-        if not hasattr(self, "_ignore_credentials"):
-            self._ignore_credentials: bool = False
-
-        # If no credentials are provided, then determine the appropriate
-        # defaults.
-        if credentials and credentials_file:
-            raise core_exceptions.DuplicateCredentialArgs("'credentials_file' and 'credentials' are mutually exclusive")
-
-        if credentials_file is not None:
-            credentials, _ = google.auth.load_credentials_from_file(
-                                credentials_file,
-                                **scopes_kwargs,
-                                quota_project_id=quota_project_id
-                            )
-        elif credentials is None and not self._ignore_credentials:
-            credentials, _ = google.auth.default(**scopes_kwargs, quota_project_id=quota_project_id)
-            # Don't apply audience if the credentials file passed from user.
-            if hasattr(credentials, "with_gdch_audience"):
-                credentials = credentials.with_gdch_audience(api_audience if api_audience else host)
-
-        # If the credentials are service account credentials, then always try to use self signed JWT.
-        if always_use_jwt_access and isinstance(credentials, service_account.Credentials) and hasattr(service_account.Credentials, "with_always_use_jwt_access"):
-            credentials = credentials.with_always_use_jwt_access(True)
-
-        # Save the credentials.
-        self._credentials = credentials
-
-        # Save the hostname. Default to port 443 (HTTPS) if none is specified.
-        if ':' not in host:
-            host += ':443'
-        self._host = host
-
-    @property
-    def host(self):
-        return self._host
-
-    def _prep_wrapped_messages(self, client_info):
-        # Precompute the wrapped methods.
-        self._wrapped_methods = {
-            self.create_entry_type: gapic_v1.method.wrap_method(
-                self.create_entry_type,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.update_entry_type: gapic_v1.method.wrap_method(
-                self.update_entry_type,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.delete_entry_type: gapic_v1.method.wrap_method(
-                self.delete_entry_type,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.list_entry_types: gapic_v1.method.wrap_method(
-                self.list_entry_types,
-                default_retry=retries.Retry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ResourceExhausted,
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.get_entry_type: gapic_v1.method.wrap_method(
-                self.get_entry_type,
-                default_retry=retries.Retry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ResourceExhausted,
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.create_aspect_type: gapic_v1.method.wrap_method(
-                self.create_aspect_type,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.update_aspect_type: gapic_v1.method.wrap_method(
-                self.update_aspect_type,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.delete_aspect_type: gapic_v1.method.wrap_method(
-                self.delete_aspect_type,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.list_aspect_types: gapic_v1.method.wrap_method(
-                self.list_aspect_types,
-                default_retry=retries.Retry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ResourceExhausted,
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.get_aspect_type: gapic_v1.method.wrap_method(
-                self.get_aspect_type,
-                default_retry=retries.Retry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ResourceExhausted,
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.create_entry_group: gapic_v1.method.wrap_method(
-                self.create_entry_group,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.update_entry_group: gapic_v1.method.wrap_method(
-                self.update_entry_group,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.delete_entry_group: gapic_v1.method.wrap_method(
-                self.delete_entry_group,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.list_entry_groups: gapic_v1.method.wrap_method(
-                self.list_entry_groups,
-                default_retry=retries.Retry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ResourceExhausted,
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.get_entry_group: gapic_v1.method.wrap_method(
-                self.get_entry_group,
-                default_retry=retries.Retry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ResourceExhausted,
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.create_entry: gapic_v1.method.wrap_method(
-                self.create_entry,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.update_entry: gapic_v1.method.wrap_method(
-                self.update_entry,
-                default_retry=retries.Retry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ResourceExhausted,
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.delete_entry: gapic_v1.method.wrap_method(
-                self.delete_entry,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.list_entries: gapic_v1.method.wrap_method(
-                self.list_entries,
-                default_retry=retries.Retry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ResourceExhausted,
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=20.0,
-                ),
-                default_timeout=20.0,
-                client_info=client_info,
-            ),
-            self.get_entry: gapic_v1.method.wrap_method(
-                self.get_entry,
-                default_retry=retries.Retry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ResourceExhausted,
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=20.0,
-                ),
-                default_timeout=20.0,
-                client_info=client_info,
-            ),
-            self.lookup_entry: gapic_v1.method.wrap_method(
-                self.lookup_entry,
-                default_retry=retries.Retry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ResourceExhausted,
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=20.0,
-                ),
-                default_timeout=20.0,
-                client_info=client_info,
-            ),
-            self.search_entries: gapic_v1.method.wrap_method(
-                self.search_entries,
-                default_retry=retries.Retry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ResourceExhausted,
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.create_metadata_job: gapic_v1.method.wrap_method(
-                self.create_metadata_job,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.get_metadata_job: gapic_v1.method.wrap_method(
-                self.get_metadata_job,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.list_metadata_jobs: gapic_v1.method.wrap_method(
-                self.list_metadata_jobs,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.cancel_metadata_job: gapic_v1.method.wrap_method(
-                self.cancel_metadata_job,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.get_location: gapic_v1.method.wrap_method(
-                self.get_location,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.list_locations: gapic_v1.method.wrap_method(
-                self.list_locations,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.cancel_operation: gapic_v1.method.wrap_method(
-                self.cancel_operation,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.delete_operation: gapic_v1.method.wrap_method(
-                self.delete_operation,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.get_operation: gapic_v1.method.wrap_method(
-                self.get_operation,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.list_operations: gapic_v1.method.wrap_method(
-                self.list_operations,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-         }
-
-    def close(self):
-        """Closes resources associated with the transport.
-
-       .. warning::
-            Only call this method if the transport is NOT shared
-            with other clients - this may cause errors in other clients!
-        """
-        raise NotImplementedError()
-
-    @property
-    def operations_client(self):
-        """Return the client designed to process long-running operations."""
-        raise NotImplementedError()
-
-    @property
-    def create_entry_type(self) -> Callable[
-            [catalog.CreateEntryTypeRequest],
-            Union[
-                operations_pb2.Operation,
-                Awaitable[operations_pb2.Operation]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def update_entry_type(self) -> Callable[
-            [catalog.UpdateEntryTypeRequest],
-            Union[
-                operations_pb2.Operation,
-                Awaitable[operations_pb2.Operation]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def delete_entry_type(self) -> Callable[
-            [catalog.DeleteEntryTypeRequest],
-            Union[
-                operations_pb2.Operation,
-                Awaitable[operations_pb2.Operation]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def list_entry_types(self) -> Callable[
-            [catalog.ListEntryTypesRequest],
-            Union[
-                catalog.ListEntryTypesResponse,
-                Awaitable[catalog.ListEntryTypesResponse]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def get_entry_type(self) -> Callable[
-            [catalog.GetEntryTypeRequest],
-            Union[
-                catalog.EntryType,
-                Awaitable[catalog.EntryType]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def create_aspect_type(self) -> Callable[
-            [catalog.CreateAspectTypeRequest],
-            Union[
-                operations_pb2.Operation,
-                Awaitable[operations_pb2.Operation]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def update_aspect_type(self) -> Callable[
-            [catalog.UpdateAspectTypeRequest],
-            Union[
-                operations_pb2.Operation,
-                Awaitable[operations_pb2.Operation]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def delete_aspect_type(self) -> Callable[
-            [catalog.DeleteAspectTypeRequest],
-            Union[
-                operations_pb2.Operation,
-                Awaitable[operations_pb2.Operation]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def list_aspect_types(self) -> Callable[
-            [catalog.ListAspectTypesRequest],
-            Union[
-                catalog.ListAspectTypesResponse,
-                Awaitable[catalog.ListAspectTypesResponse]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def get_aspect_type(self) -> Callable[
-            [catalog.GetAspectTypeRequest],
-            Union[
-                catalog.AspectType,
-                Awaitable[catalog.AspectType]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def create_entry_group(self) -> Callable[
-            [catalog.CreateEntryGroupRequest],
-            Union[
-                operations_pb2.Operation,
-                Awaitable[operations_pb2.Operation]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def update_entry_group(self) -> Callable[
-            [catalog.UpdateEntryGroupRequest],
-            Union[
-                operations_pb2.Operation,
-                Awaitable[operations_pb2.Operation]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def delete_entry_group(self) -> Callable[
-            [catalog.DeleteEntryGroupRequest],
-            Union[
-                operations_pb2.Operation,
-                Awaitable[operations_pb2.Operation]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def list_entry_groups(self) -> Callable[
-            [catalog.ListEntryGroupsRequest],
-            Union[
-                catalog.ListEntryGroupsResponse,
-                Awaitable[catalog.ListEntryGroupsResponse]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def get_entry_group(self) -> Callable[
-            [catalog.GetEntryGroupRequest],
-            Union[
-                catalog.EntryGroup,
-                Awaitable[catalog.EntryGroup]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def create_entry(self) -> Callable[
-            [catalog.CreateEntryRequest],
-            Union[
-                catalog.Entry,
-                Awaitable[catalog.Entry]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def update_entry(self) -> Callable[
-            [catalog.UpdateEntryRequest],
-            Union[
-                catalog.Entry,
-                Awaitable[catalog.Entry]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def delete_entry(self) -> Callable[
-            [catalog.DeleteEntryRequest],
-            Union[
-                catalog.Entry,
-                Awaitable[catalog.Entry]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def list_entries(self) -> Callable[
-            [catalog.ListEntriesRequest],
-            Union[
-                catalog.ListEntriesResponse,
-                Awaitable[catalog.ListEntriesResponse]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def get_entry(self) -> Callable[
-            [catalog.GetEntryRequest],
-            Union[
-                catalog.Entry,
-                Awaitable[catalog.Entry]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def lookup_entry(self) -> Callable[
-            [catalog.LookupEntryRequest],
-            Union[
-                catalog.Entry,
-                Awaitable[catalog.Entry]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def search_entries(self) -> Callable[
-            [catalog.SearchEntriesRequest],
-            Union[
-                catalog.SearchEntriesResponse,
-                Awaitable[catalog.SearchEntriesResponse]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def create_metadata_job(self) -> Callable[
-            [catalog.CreateMetadataJobRequest],
-            Union[
-                operations_pb2.Operation,
-                Awaitable[operations_pb2.Operation]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def get_metadata_job(self) -> Callable[
-            [catalog.GetMetadataJobRequest],
-            Union[
-                catalog.MetadataJob,
-                Awaitable[catalog.MetadataJob]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def list_metadata_jobs(self) -> Callable[
-            [catalog.ListMetadataJobsRequest],
-            Union[
-                catalog.ListMetadataJobsResponse,
-                Awaitable[catalog.ListMetadataJobsResponse]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def cancel_metadata_job(self) -> Callable[
-            [catalog.CancelMetadataJobRequest],
-            Union[
-                empty_pb2.Empty,
-                Awaitable[empty_pb2.Empty]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def list_operations(
-        self,
-    ) -> Callable[
-        [operations_pb2.ListOperationsRequest],
-        Union[operations_pb2.ListOperationsResponse, Awaitable[operations_pb2.ListOperationsResponse]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def get_operation(
-        self,
-    ) -> Callable[
-        [operations_pb2.GetOperationRequest],
-        Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def cancel_operation(
-        self,
-    ) -> Callable[
-        [operations_pb2.CancelOperationRequest],
-        None,
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def delete_operation(
-        self,
-    ) -> Callable[
-        [operations_pb2.DeleteOperationRequest],
-        None,
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def get_location(self,
-    ) -> Callable[
-        [locations_pb2.GetLocationRequest],
-        Union[locations_pb2.Location, Awaitable[locations_pb2.Location]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def list_locations(self,
-    ) -> Callable[
-        [locations_pb2.ListLocationsRequest],
-        Union[locations_pb2.ListLocationsResponse, Awaitable[locations_pb2.ListLocationsResponse]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def kind(self) -> str:
-        raise NotImplementedError()
-
-
-__all__ = (
-    'CatalogServiceTransport',
-)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/catalog_service/transports/grpc.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/catalog_service/transports/grpc.py
deleted file mode 100644
index 72fef5ad3155..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/catalog_service/transports/grpc.py
+++ /dev/null
@@ -1,1076 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-import warnings
-from typing import Callable, Dict, Optional, Sequence, Tuple, Union
-
-from google.api_core import grpc_helpers
-from google.api_core import operations_v1
-from google.api_core import gapic_v1
-import google.auth                         # type: ignore
-from google.auth import credentials as ga_credentials  # type: ignore
-from google.auth.transport.grpc import SslCredentials  # type: ignore
-
-import grpc  # type: ignore
-
-from google.cloud.dataplex_v1.types import catalog
-from google.cloud.location import locations_pb2 # type: ignore
-from google.iam.v1 import iam_policy_pb2  # type: ignore
-from google.iam.v1 import policy_pb2  # type: ignore
-from google.longrunning import operations_pb2 # type: ignore
-from google.protobuf import empty_pb2  # type: ignore
-from .base import CatalogServiceTransport, DEFAULT_CLIENT_INFO
-
-
-class CatalogServiceGrpcTransport(CatalogServiceTransport):
-    """gRPC backend transport for CatalogService.
-
-    The primary resources offered by this service are
-    EntryGroups, EntryTypes, AspectTypes, and Entries. They
-    collectively let data administrators organize, manage, secure,
-    and catalog data located across cloud projects in their
-    organization in a variety of storage systems, including Cloud
-    Storage and BigQuery.
-
-    This class defines the same methods as the primary client, so the
-    primary client can load the underlying transport implementation
-    and call it.
-
-    It sends protocol buffers over the wire using gRPC (which is built on
-    top of HTTP/2); the ``grpcio`` package must be installed.
-    """
-    _stubs: Dict[str, Callable]
-
-    def __init__(self, *,
-            host: str = 'dataplex.googleapis.com',
-            credentials: Optional[ga_credentials.Credentials] = None,
-            credentials_file: Optional[str] = None,
-            scopes: Optional[Sequence[str]] = None,
-            channel: Optional[Union[grpc.Channel, Callable[..., grpc.Channel]]] = None,
-            api_mtls_endpoint: Optional[str] = None,
-            client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
-            ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None,
-            client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
-            quota_project_id: Optional[str] = None,
-            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-            always_use_jwt_access: Optional[bool] = False,
-            api_audience: Optional[str] = None,
-            ) -> None:
-        """Instantiate the transport.
-
-        Args:
-            host (Optional[str]):
-                 The hostname to connect to (default: 'dataplex.googleapis.com').
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-                This argument is ignored if a ``channel`` instance is provided.
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-                This argument is ignored if a ``channel`` instance is provided.
-            scopes (Optional(Sequence[str])): A list of scopes. This argument is
-                ignored if a ``channel`` instance is provided.
-            channel (Optional[Union[grpc.Channel, Callable[..., grpc.Channel]]]):
-                A ``Channel`` instance through which to make calls, or a Callable
-                that constructs and returns one. If set to None, ``self.create_channel``
-                is used to create the channel. If a Callable is given, it will be called
-                with the same arguments as used in ``self.create_channel``.
-            api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint.
-                If provided, it overrides the ``host`` argument and tries to create
-                a mutual TLS channel with client SSL credentials from
-                ``client_cert_source`` or application default SSL credentials.
-            client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]):
-                Deprecated. A callback to provide client SSL certificate bytes and
-                private key bytes, both in PEM format. It is ignored if
-                ``api_mtls_endpoint`` is None.
-            ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials
-                for the grpc channel. It is ignored if a ``channel`` instance is provided.
-            client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]):
-                A callback to provide client certificate bytes and private key bytes,
-                both in PEM format. It is used to configure a mutual TLS channel. It is
-                ignored if a ``channel`` instance or ``ssl_channel_credentials`` is provided.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
-                The client info used to send a user-agent string along with
-                API requests. If ``None``, then default info will be used.
-                Generally, you only need to set this if you're developing
-                your own client library.
-            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
-                be used for service account credentials.
-
-        Raises:
-          google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport
-              creation failed for any reason.
-          google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials``
-              and ``credentials_file`` are passed.
-        """
-        self._grpc_channel = None
-        self._ssl_channel_credentials = ssl_channel_credentials
-        self._stubs: Dict[str, Callable] = {}
-        self._operations_client: Optional[operations_v1.OperationsClient] = None
-
-        if api_mtls_endpoint:
-            warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning)
-        if client_cert_source:
-            warnings.warn("client_cert_source is deprecated", DeprecationWarning)
-
-        if isinstance(channel, grpc.Channel):
-            # Ignore credentials if a channel was passed.
-            credentials = None
-            self._ignore_credentials = True
-            # If a channel was explicitly provided, set it.
-            self._grpc_channel = channel
-            self._ssl_channel_credentials = None
-
-        else:
-            if api_mtls_endpoint:
-                host = api_mtls_endpoint
-
-                # Create SSL credentials with client_cert_source or application
-                # default SSL credentials.
-                if client_cert_source:
-                    cert, key = client_cert_source()
-                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
-                        certificate_chain=cert, private_key=key
-                    )
-                else:
-                    self._ssl_channel_credentials = SslCredentials().ssl_credentials
-
-            else:
-                if client_cert_source_for_mtls and not ssl_channel_credentials:
-                    cert, key = client_cert_source_for_mtls()
-                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
-                        certificate_chain=cert, private_key=key
-                    )
-
-        # The base transport sets the host, credentials and scopes
-        super().__init__(
-            host=host,
-            credentials=credentials,
-            credentials_file=credentials_file,
-            scopes=scopes,
-            quota_project_id=quota_project_id,
-            client_info=client_info,
-            always_use_jwt_access=always_use_jwt_access,
-            api_audience=api_audience,
-        )
-
-        if not self._grpc_channel:
-            # initialize with the provided callable or the default channel
-            channel_init = channel or type(self).create_channel
-            self._grpc_channel = channel_init(
-                self._host,
-                # use the credentials which are saved
-                credentials=self._credentials,
-                # Set ``credentials_file`` to ``None`` here as
-                # the credentials that we saved earlier should be used.
-                credentials_file=None,
-                scopes=self._scopes,
-                ssl_credentials=self._ssl_channel_credentials,
-                quota_project_id=quota_project_id,
-                options=[
-                    ("grpc.max_send_message_length", -1),
-                    ("grpc.max_receive_message_length", -1),
-                ],
-            )
-
-        # Wrap messages. This must be done after self._grpc_channel exists
-        self._prep_wrapped_messages(client_info)
-
-    @classmethod
-    def create_channel(cls,
-                       host: str = 'dataplex.googleapis.com',
-                       credentials: Optional[ga_credentials.Credentials] = None,
-                       credentials_file: Optional[str] = None,
-                       scopes: Optional[Sequence[str]] = None,
-                       quota_project_id: Optional[str] = None,
-                       **kwargs) -> grpc.Channel:
-        """Create and return a gRPC channel object.
-        Args:
-            host (Optional[str]): The host for the channel to use.
-            credentials (Optional[~.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify this application to the service. If
-                none are specified, the client will attempt to ascertain
-                the credentials from the environment.
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-                This argument is mutually exclusive with credentials.
-            scopes (Optional[Sequence[str]]): A optional list of scopes needed for this
-                service. These are only used when credentials are not specified and
-                are passed to :func:`google.auth.default`.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            kwargs (Optional[dict]): Keyword arguments, which are passed to the
-                channel creation.
-        Returns:
-            grpc.Channel: A gRPC channel object.
-
-        Raises:
-            google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials``
-              and ``credentials_file`` are passed.
-        """
-
-        return grpc_helpers.create_channel(
-            host,
-            credentials=credentials,
-            credentials_file=credentials_file,
-            quota_project_id=quota_project_id,
-            default_scopes=cls.AUTH_SCOPES,
-            scopes=scopes,
-            default_host=cls.DEFAULT_HOST,
-            **kwargs
-        )
-
-    @property
-    def grpc_channel(self) -> grpc.Channel:
-        """Return the channel designed to connect to this service.
-        """
-        return self._grpc_channel
-
-    @property
-    def operations_client(self) -> operations_v1.OperationsClient:
-        """Create the client designed to process long-running operations.
-
-        This property caches on the instance; repeated calls return the same
-        client.
-        """
-        # Quick check: Only create a new client if we do not already have one.
-        if self._operations_client is None:
-            self._operations_client = operations_v1.OperationsClient(
-                self.grpc_channel
-            )
-
-        # Return the client from cache.
-        return self._operations_client
-
-    @property
-    def create_entry_type(self) -> Callable[
-            [catalog.CreateEntryTypeRequest],
-            operations_pb2.Operation]:
-        r"""Return a callable for the create entry type method over gRPC.
-
-        Creates an EntryType.
-
-        Returns:
-            Callable[[~.CreateEntryTypeRequest],
-                    ~.Operation]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'create_entry_type' not in self._stubs:
-            self._stubs['create_entry_type'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.CatalogService/CreateEntryType',
-                request_serializer=catalog.CreateEntryTypeRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['create_entry_type']
-
-    @property
-    def update_entry_type(self) -> Callable[
-            [catalog.UpdateEntryTypeRequest],
-            operations_pb2.Operation]:
-        r"""Return a callable for the update entry type method over gRPC.
-
-        Updates an EntryType.
-
-        Returns:
-            Callable[[~.UpdateEntryTypeRequest],
-                    ~.Operation]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'update_entry_type' not in self._stubs:
-            self._stubs['update_entry_type'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.CatalogService/UpdateEntryType',
-                request_serializer=catalog.UpdateEntryTypeRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['update_entry_type']
-
-    @property
-    def delete_entry_type(self) -> Callable[
-            [catalog.DeleteEntryTypeRequest],
-            operations_pb2.Operation]:
-        r"""Return a callable for the delete entry type method over gRPC.
-
-        Deletes an EntryType.
-
-        Returns:
-            Callable[[~.DeleteEntryTypeRequest],
-                    ~.Operation]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'delete_entry_type' not in self._stubs:
-            self._stubs['delete_entry_type'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.CatalogService/DeleteEntryType',
-                request_serializer=catalog.DeleteEntryTypeRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['delete_entry_type']
-
-    @property
-    def list_entry_types(self) -> Callable[
-            [catalog.ListEntryTypesRequest],
-            catalog.ListEntryTypesResponse]:
-        r"""Return a callable for the list entry types method over gRPC.
-
-        Lists EntryType resources in a project and location.
-
-        Returns:
-            Callable[[~.ListEntryTypesRequest],
-                    ~.ListEntryTypesResponse]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'list_entry_types' not in self._stubs:
-            self._stubs['list_entry_types'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.CatalogService/ListEntryTypes',
-                request_serializer=catalog.ListEntryTypesRequest.serialize,
-                response_deserializer=catalog.ListEntryTypesResponse.deserialize,
-            )
-        return self._stubs['list_entry_types']
-
-    @property
-    def get_entry_type(self) -> Callable[
-            [catalog.GetEntryTypeRequest],
-            catalog.EntryType]:
-        r"""Return a callable for the get entry type method over gRPC.
-
-        Gets an EntryType.
-
-        Returns:
-            Callable[[~.GetEntryTypeRequest],
-                    ~.EntryType]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'get_entry_type' not in self._stubs:
-            self._stubs['get_entry_type'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.CatalogService/GetEntryType',
-                request_serializer=catalog.GetEntryTypeRequest.serialize,
-                response_deserializer=catalog.EntryType.deserialize,
-            )
-        return self._stubs['get_entry_type']
-
-    @property
-    def create_aspect_type(self) -> Callable[
-            [catalog.CreateAspectTypeRequest],
-            operations_pb2.Operation]:
-        r"""Return a callable for the create aspect type method over gRPC.
-
-        Creates an AspectType.
-
-        Returns:
-            Callable[[~.CreateAspectTypeRequest],
-                    ~.Operation]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'create_aspect_type' not in self._stubs:
-            self._stubs['create_aspect_type'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.CatalogService/CreateAspectType',
-                request_serializer=catalog.CreateAspectTypeRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['create_aspect_type']
-
-    @property
-    def update_aspect_type(self) -> Callable[
-            [catalog.UpdateAspectTypeRequest],
-            operations_pb2.Operation]:
-        r"""Return a callable for the update aspect type method over gRPC.
-
-        Updates an AspectType.
-
-        Returns:
-            Callable[[~.UpdateAspectTypeRequest],
-                    ~.Operation]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'update_aspect_type' not in self._stubs:
-            self._stubs['update_aspect_type'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.CatalogService/UpdateAspectType',
-                request_serializer=catalog.UpdateAspectTypeRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['update_aspect_type']
-
-    @property
-    def delete_aspect_type(self) -> Callable[
-            [catalog.DeleteAspectTypeRequest],
-            operations_pb2.Operation]:
-        r"""Return a callable for the delete aspect type method over gRPC.
-
-        Deletes an AspectType.
-
-        Returns:
-            Callable[[~.DeleteAspectTypeRequest],
-                    ~.Operation]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'delete_aspect_type' not in self._stubs:
-            self._stubs['delete_aspect_type'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.CatalogService/DeleteAspectType',
-                request_serializer=catalog.DeleteAspectTypeRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['delete_aspect_type']
-
-    @property
-    def list_aspect_types(self) -> Callable[
-            [catalog.ListAspectTypesRequest],
-            catalog.ListAspectTypesResponse]:
-        r"""Return a callable for the list aspect types method over gRPC.
-
-        Lists AspectType resources in a project and location.
-
-        Returns:
-            Callable[[~.ListAspectTypesRequest],
-                    ~.ListAspectTypesResponse]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'list_aspect_types' not in self._stubs:
-            self._stubs['list_aspect_types'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.CatalogService/ListAspectTypes',
-                request_serializer=catalog.ListAspectTypesRequest.serialize,
-                response_deserializer=catalog.ListAspectTypesResponse.deserialize,
-            )
-        return self._stubs['list_aspect_types']
-
-    @property
-    def get_aspect_type(self) -> Callable[
-            [catalog.GetAspectTypeRequest],
-            catalog.AspectType]:
-        r"""Return a callable for the get aspect type method over gRPC.
-
-        Gets an AspectType.
-
-        Returns:
-            Callable[[~.GetAspectTypeRequest],
-                    ~.AspectType]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'get_aspect_type' not in self._stubs:
-            self._stubs['get_aspect_type'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.CatalogService/GetAspectType',
-                request_serializer=catalog.GetAspectTypeRequest.serialize,
-                response_deserializer=catalog.AspectType.deserialize,
-            )
-        return self._stubs['get_aspect_type']
-
-    @property
-    def create_entry_group(self) -> Callable[
-            [catalog.CreateEntryGroupRequest],
-            operations_pb2.Operation]:
-        r"""Return a callable for the create entry group method over gRPC.
-
-        Creates an EntryGroup.
-
-        Returns:
-            Callable[[~.CreateEntryGroupRequest],
-                    ~.Operation]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'create_entry_group' not in self._stubs:
-            self._stubs['create_entry_group'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.CatalogService/CreateEntryGroup',
-                request_serializer=catalog.CreateEntryGroupRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['create_entry_group']
-
-    @property
-    def update_entry_group(self) -> Callable[
-            [catalog.UpdateEntryGroupRequest],
-            operations_pb2.Operation]:
-        r"""Return a callable for the update entry group method over gRPC.
-
-        Updates an EntryGroup.
-
-        Returns:
-            Callable[[~.UpdateEntryGroupRequest],
-                    ~.Operation]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'update_entry_group' not in self._stubs:
-            self._stubs['update_entry_group'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.CatalogService/UpdateEntryGroup',
-                request_serializer=catalog.UpdateEntryGroupRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['update_entry_group']
-
-    @property
-    def delete_entry_group(self) -> Callable[
-            [catalog.DeleteEntryGroupRequest],
-            operations_pb2.Operation]:
-        r"""Return a callable for the delete entry group method over gRPC.
-
-        Deletes an EntryGroup.
-
-        Returns:
-            Callable[[~.DeleteEntryGroupRequest],
-                    ~.Operation]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'delete_entry_group' not in self._stubs:
-            self._stubs['delete_entry_group'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.CatalogService/DeleteEntryGroup',
-                request_serializer=catalog.DeleteEntryGroupRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['delete_entry_group']
-
-    @property
-    def list_entry_groups(self) -> Callable[
-            [catalog.ListEntryGroupsRequest],
-            catalog.ListEntryGroupsResponse]:
-        r"""Return a callable for the list entry groups method over gRPC.
-
-        Lists EntryGroup resources in a project and location.
-
-        Returns:
-            Callable[[~.ListEntryGroupsRequest],
-                    ~.ListEntryGroupsResponse]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'list_entry_groups' not in self._stubs:
-            self._stubs['list_entry_groups'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.CatalogService/ListEntryGroups',
-                request_serializer=catalog.ListEntryGroupsRequest.serialize,
-                response_deserializer=catalog.ListEntryGroupsResponse.deserialize,
-            )
-        return self._stubs['list_entry_groups']
-
-    @property
-    def get_entry_group(self) -> Callable[
-            [catalog.GetEntryGroupRequest],
-            catalog.EntryGroup]:
-        r"""Return a callable for the get entry group method over gRPC.
-
-        Gets an EntryGroup.
-
-        Returns:
-            Callable[[~.GetEntryGroupRequest],
-                    ~.EntryGroup]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'get_entry_group' not in self._stubs:
-            self._stubs['get_entry_group'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.CatalogService/GetEntryGroup',
-                request_serializer=catalog.GetEntryGroupRequest.serialize,
-                response_deserializer=catalog.EntryGroup.deserialize,
-            )
-        return self._stubs['get_entry_group']
-
-    @property
-    def create_entry(self) -> Callable[
-            [catalog.CreateEntryRequest],
-            catalog.Entry]:
-        r"""Return a callable for the create entry method over gRPC.
-
-        Creates an Entry.
-
-        Returns:
-            Callable[[~.CreateEntryRequest],
-                    ~.Entry]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'create_entry' not in self._stubs:
-            self._stubs['create_entry'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.CatalogService/CreateEntry',
-                request_serializer=catalog.CreateEntryRequest.serialize,
-                response_deserializer=catalog.Entry.deserialize,
-            )
-        return self._stubs['create_entry']
-
-    @property
-    def update_entry(self) -> Callable[
-            [catalog.UpdateEntryRequest],
-            catalog.Entry]:
-        r"""Return a callable for the update entry method over gRPC.
-
-        Updates an Entry.
-
-        Returns:
-            Callable[[~.UpdateEntryRequest],
-                    ~.Entry]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'update_entry' not in self._stubs:
-            self._stubs['update_entry'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.CatalogService/UpdateEntry',
-                request_serializer=catalog.UpdateEntryRequest.serialize,
-                response_deserializer=catalog.Entry.deserialize,
-            )
-        return self._stubs['update_entry']
-
-    @property
-    def delete_entry(self) -> Callable[
-            [catalog.DeleteEntryRequest],
-            catalog.Entry]:
-        r"""Return a callable for the delete entry method over gRPC.
-
-        Deletes an Entry.
-
-        Returns:
-            Callable[[~.DeleteEntryRequest],
-                    ~.Entry]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'delete_entry' not in self._stubs:
-            self._stubs['delete_entry'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.CatalogService/DeleteEntry',
-                request_serializer=catalog.DeleteEntryRequest.serialize,
-                response_deserializer=catalog.Entry.deserialize,
-            )
-        return self._stubs['delete_entry']
-
-    @property
-    def list_entries(self) -> Callable[
-            [catalog.ListEntriesRequest],
-            catalog.ListEntriesResponse]:
-        r"""Return a callable for the list entries method over gRPC.
-
-        Lists Entries within an EntryGroup.
-
-        Returns:
-            Callable[[~.ListEntriesRequest],
-                    ~.ListEntriesResponse]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'list_entries' not in self._stubs:
-            self._stubs['list_entries'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.CatalogService/ListEntries',
-                request_serializer=catalog.ListEntriesRequest.serialize,
-                response_deserializer=catalog.ListEntriesResponse.deserialize,
-            )
-        return self._stubs['list_entries']
-
-    @property
-    def get_entry(self) -> Callable[
-            [catalog.GetEntryRequest],
-            catalog.Entry]:
-        r"""Return a callable for the get entry method over gRPC.
-
-        Gets an Entry.
-
-        **Caution**: The BigQuery metadata that is stored in Dataplex
-        Catalog is changing. For more information, see `Changes to
-        BigQuery metadata stored in Dataplex
-        Catalog <https://cloud.google.com/dataplex/docs/biqquery-metadata-changes>`__.
-
-        Returns:
-            Callable[[~.GetEntryRequest],
-                    ~.Entry]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'get_entry' not in self._stubs:
-            self._stubs['get_entry'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.CatalogService/GetEntry',
-                request_serializer=catalog.GetEntryRequest.serialize,
-                response_deserializer=catalog.Entry.deserialize,
-            )
-        return self._stubs['get_entry']
-
-    @property
-    def lookup_entry(self) -> Callable[
-            [catalog.LookupEntryRequest],
-            catalog.Entry]:
-        r"""Return a callable for the lookup entry method over gRPC.
-
-        Looks up a single Entry by name using the permission on the
-        source system.
-
-        **Caution**: The BigQuery metadata that is stored in Dataplex
-        Catalog is changing. For more information, see `Changes to
-        BigQuery metadata stored in Dataplex
-        Catalog <https://cloud.google.com/dataplex/docs/biqquery-metadata-changes>`__.
-
-        Returns:
-            Callable[[~.LookupEntryRequest],
-                    ~.Entry]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'lookup_entry' not in self._stubs:
-            self._stubs['lookup_entry'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.CatalogService/LookupEntry',
-                request_serializer=catalog.LookupEntryRequest.serialize,
-                response_deserializer=catalog.Entry.deserialize,
-            )
-        return self._stubs['lookup_entry']
-
-    @property
-    def search_entries(self) -> Callable[
-            [catalog.SearchEntriesRequest],
-            catalog.SearchEntriesResponse]:
-        r"""Return a callable for the search entries method over gRPC.
-
-        Searches for Entries matching the given query and
-        scope.
-
-        Returns:
-            Callable[[~.SearchEntriesRequest],
-                    ~.SearchEntriesResponse]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'search_entries' not in self._stubs:
-            self._stubs['search_entries'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.CatalogService/SearchEntries',
-                request_serializer=catalog.SearchEntriesRequest.serialize,
-                response_deserializer=catalog.SearchEntriesResponse.deserialize,
-            )
-        return self._stubs['search_entries']
-
-    @property
-    def create_metadata_job(self) -> Callable[
-            [catalog.CreateMetadataJobRequest],
-            operations_pb2.Operation]:
-        r"""Return a callable for the create metadata job method over gRPC.
-
-        Creates a metadata job. For example, use a metadata
-        job to import Dataplex Catalog entries and aspects from
-        a third-party system into Dataplex.
-
-        Returns:
-            Callable[[~.CreateMetadataJobRequest],
-                    ~.Operation]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'create_metadata_job' not in self._stubs:
-            self._stubs['create_metadata_job'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.CatalogService/CreateMetadataJob',
-                request_serializer=catalog.CreateMetadataJobRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['create_metadata_job']
-
-    @property
-    def get_metadata_job(self) -> Callable[
-            [catalog.GetMetadataJobRequest],
-            catalog.MetadataJob]:
-        r"""Return a callable for the get metadata job method over gRPC.
-
-        Gets a metadata job.
-
-        Returns:
-            Callable[[~.GetMetadataJobRequest],
-                    ~.MetadataJob]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'get_metadata_job' not in self._stubs:
-            self._stubs['get_metadata_job'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.CatalogService/GetMetadataJob',
-                request_serializer=catalog.GetMetadataJobRequest.serialize,
-                response_deserializer=catalog.MetadataJob.deserialize,
-            )
-        return self._stubs['get_metadata_job']
-
-    @property
-    def list_metadata_jobs(self) -> Callable[
-            [catalog.ListMetadataJobsRequest],
-            catalog.ListMetadataJobsResponse]:
-        r"""Return a callable for the list metadata jobs method over gRPC.
-
-        Lists metadata jobs.
-
-        Returns:
-            Callable[[~.ListMetadataJobsRequest],
-                    ~.ListMetadataJobsResponse]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'list_metadata_jobs' not in self._stubs:
-            self._stubs['list_metadata_jobs'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.CatalogService/ListMetadataJobs',
-                request_serializer=catalog.ListMetadataJobsRequest.serialize,
-                response_deserializer=catalog.ListMetadataJobsResponse.deserialize,
-            )
-        return self._stubs['list_metadata_jobs']
-
-    @property
-    def cancel_metadata_job(self) -> Callable[
-            [catalog.CancelMetadataJobRequest],
-            empty_pb2.Empty]:
-        r"""Return a callable for the cancel metadata job method over gRPC.
-
-        Cancels a metadata job.
-
-        If you cancel a metadata import job that is in progress,
-        the changes in the job might be partially applied. We
-        recommend that you reset the state of the entry groups
-        in your project by running another metadata job that
-        reverts the changes from the canceled job.
-
-        Returns:
-            Callable[[~.CancelMetadataJobRequest],
-                    ~.Empty]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'cancel_metadata_job' not in self._stubs:
-            self._stubs['cancel_metadata_job'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.CatalogService/CancelMetadataJob',
-                request_serializer=catalog.CancelMetadataJobRequest.serialize,
-                response_deserializer=empty_pb2.Empty.FromString,
-            )
-        return self._stubs['cancel_metadata_job']
-
-    def close(self):
-        self.grpc_channel.close()
-
-    @property
-    def delete_operation(
-        self,
-    ) -> Callable[[operations_pb2.DeleteOperationRequest], None]:
-        r"""Return a callable for the delete_operation method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "delete_operation" not in self._stubs:
-            self._stubs["delete_operation"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/DeleteOperation",
-                request_serializer=operations_pb2.DeleteOperationRequest.SerializeToString,
-                response_deserializer=None,
-            )
-        return self._stubs["delete_operation"]
-
-    @property
-    def cancel_operation(
-        self,
-    ) -> Callable[[operations_pb2.CancelOperationRequest], None]:
-        r"""Return a callable for the cancel_operation method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "cancel_operation" not in self._stubs:
-            self._stubs["cancel_operation"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/CancelOperation",
-                request_serializer=operations_pb2.CancelOperationRequest.SerializeToString,
-                response_deserializer=None,
-            )
-        return self._stubs["cancel_operation"]
-
-    @property
-    def get_operation(
-        self,
-    ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]:
-        r"""Return a callable for the get_operation method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "get_operation" not in self._stubs:
-            self._stubs["get_operation"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/GetOperation",
-                request_serializer=operations_pb2.GetOperationRequest.SerializeToString,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs["get_operation"]
-
-    @property
-    def list_operations(
-        self,
-    ) -> Callable[[operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse]:
-        r"""Return a callable for the list_operations method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "list_operations" not in self._stubs:
-            self._stubs["list_operations"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/ListOperations",
-                request_serializer=operations_pb2.ListOperationsRequest.SerializeToString,
-                response_deserializer=operations_pb2.ListOperationsResponse.FromString,
-            )
-        return self._stubs["list_operations"]
-
-    @property
-    def list_locations(
-        self,
-    ) -> Callable[[locations_pb2.ListLocationsRequest], locations_pb2.ListLocationsResponse]:
-        r"""Return a callable for the list locations method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "list_locations" not in self._stubs:
-            self._stubs["list_locations"] = self.grpc_channel.unary_unary(
-                "/google.cloud.location.Locations/ListLocations",
-                request_serializer=locations_pb2.ListLocationsRequest.SerializeToString,
-                response_deserializer=locations_pb2.ListLocationsResponse.FromString,
-            )
-        return self._stubs["list_locations"]
-
-    @property
-    def get_location(
-        self,
-    ) -> Callable[[locations_pb2.GetLocationRequest], locations_pb2.Location]:
-        r"""Return a callable for the list locations method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "get_location" not in self._stubs:
-            self._stubs["get_location"] = self.grpc_channel.unary_unary(
-                "/google.cloud.location.Locations/GetLocation",
-                request_serializer=locations_pb2.GetLocationRequest.SerializeToString,
-                response_deserializer=locations_pb2.Location.FromString,
-            )
-        return self._stubs["get_location"]
-
-    @property
-    def kind(self) -> str:
-        return "grpc"
-
-
-__all__ = (
-    'CatalogServiceGrpcTransport',
-)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/catalog_service/transports/grpc_asyncio.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/catalog_service/transports/grpc_asyncio.py
deleted file mode 100644
index 20c5361626d6..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/catalog_service/transports/grpc_asyncio.py
+++ /dev/null
@@ -1,1362 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-import inspect
-import warnings
-from typing import Awaitable, Callable, Dict, Optional, Sequence, Tuple, Union
-
-from google.api_core import gapic_v1
-from google.api_core import grpc_helpers_async
-from google.api_core import exceptions as core_exceptions
-from google.api_core import retry_async as retries
-from google.api_core import operations_v1
-from google.auth import credentials as ga_credentials   # type: ignore
-from google.auth.transport.grpc import SslCredentials  # type: ignore
-
-import grpc                        # type: ignore
-from grpc.experimental import aio  # type: ignore
-
-from google.cloud.dataplex_v1.types import catalog
-from google.cloud.location import locations_pb2 # type: ignore
-from google.iam.v1 import iam_policy_pb2  # type: ignore
-from google.iam.v1 import policy_pb2  # type: ignore
-from google.longrunning import operations_pb2 # type: ignore
-from google.protobuf import empty_pb2  # type: ignore
-from .base import CatalogServiceTransport, DEFAULT_CLIENT_INFO
-from .grpc import CatalogServiceGrpcTransport
-
-
-class CatalogServiceGrpcAsyncIOTransport(CatalogServiceTransport):
-    """gRPC AsyncIO backend transport for CatalogService.
-
-    The primary resources offered by this service are
-    EntryGroups, EntryTypes, AspectTypes, and Entries. They
-    collectively let data administrators organize, manage, secure,
-    and catalog data located across cloud projects in their
-    organization in a variety of storage systems, including Cloud
-    Storage and BigQuery.
-
-    This class defines the same methods as the primary client, so the
-    primary client can load the underlying transport implementation
-    and call it.
-
-    It sends protocol buffers over the wire using gRPC (which is built on
-    top of HTTP/2); the ``grpcio`` package must be installed.
-    """
-
-    _grpc_channel: aio.Channel
-    _stubs: Dict[str, Callable] = {}
-
-    @classmethod
-    def create_channel(cls,
-                       host: str = 'dataplex.googleapis.com',
-                       credentials: Optional[ga_credentials.Credentials] = None,
-                       credentials_file: Optional[str] = None,
-                       scopes: Optional[Sequence[str]] = None,
-                       quota_project_id: Optional[str] = None,
-                       **kwargs) -> aio.Channel:
-        """Create and return a gRPC AsyncIO channel object.
-        Args:
-            host (Optional[str]): The host for the channel to use.
-            credentials (Optional[~.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify this application to the service. If
-                none are specified, the client will attempt to ascertain
-                the credentials from the environment.
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-            scopes (Optional[Sequence[str]]): A optional list of scopes needed for this
-                service. These are only used when credentials are not specified and
-                are passed to :func:`google.auth.default`.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            kwargs (Optional[dict]): Keyword arguments, which are passed to the
-                channel creation.
-        Returns:
-            aio.Channel: A gRPC AsyncIO channel object.
-        """
-
-        return grpc_helpers_async.create_channel(
-            host,
-            credentials=credentials,
-            credentials_file=credentials_file,
-            quota_project_id=quota_project_id,
-            default_scopes=cls.AUTH_SCOPES,
-            scopes=scopes,
-            default_host=cls.DEFAULT_HOST,
-            **kwargs
-        )
-
-    def __init__(self, *,
-            host: str = 'dataplex.googleapis.com',
-            credentials: Optional[ga_credentials.Credentials] = None,
-            credentials_file: Optional[str] = None,
-            scopes: Optional[Sequence[str]] = None,
-            channel: Optional[Union[aio.Channel, Callable[..., aio.Channel]]] = None,
-            api_mtls_endpoint: Optional[str] = None,
-            client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
-            ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None,
-            client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
-            quota_project_id: Optional[str] = None,
-            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-            always_use_jwt_access: Optional[bool] = False,
-            api_audience: Optional[str] = None,
-            ) -> None:
-        """Instantiate the transport.
-
-        Args:
-            host (Optional[str]):
-                 The hostname to connect to (default: 'dataplex.googleapis.com').
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-                This argument is ignored if a ``channel`` instance is provided.
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-                This argument is ignored if a ``channel`` instance is provided.
-            scopes (Optional[Sequence[str]]): A optional list of scopes needed for this
-                service. These are only used when credentials are not specified and
-                are passed to :func:`google.auth.default`.
-            channel (Optional[Union[aio.Channel, Callable[..., aio.Channel]]]):
-                A ``Channel`` instance through which to make calls, or a Callable
-                that constructs and returns one. If set to None, ``self.create_channel``
-                is used to create the channel. If a Callable is given, it will be called
-                with the same arguments as used in ``self.create_channel``.
-            api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint.
-                If provided, it overrides the ``host`` argument and tries to create
-                a mutual TLS channel with client SSL credentials from
-                ``client_cert_source`` or application default SSL credentials.
-            client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]):
-                Deprecated. A callback to provide client SSL certificate bytes and
-                private key bytes, both in PEM format. It is ignored if
-                ``api_mtls_endpoint`` is None.
-            ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials
-                for the grpc channel. It is ignored if a ``channel`` instance is provided.
-            client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]):
-                A callback to provide client certificate bytes and private key bytes,
-                both in PEM format. It is used to configure a mutual TLS channel. It is
-                ignored if a ``channel`` instance or ``ssl_channel_credentials`` is provided.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
-                The client info used to send a user-agent string along with
-                API requests. If ``None``, then default info will be used.
-                Generally, you only need to set this if you're developing
-                your own client library.
-            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
-                be used for service account credentials.
-
-        Raises:
-            google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport
-              creation failed for any reason.
-          google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials``
-              and ``credentials_file`` are passed.
-        """
-        self._grpc_channel = None
-        self._ssl_channel_credentials = ssl_channel_credentials
-        self._stubs: Dict[str, Callable] = {}
-        self._operations_client: Optional[operations_v1.OperationsAsyncClient] = None
-
-        if api_mtls_endpoint:
-            warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning)
-        if client_cert_source:
-            warnings.warn("client_cert_source is deprecated", DeprecationWarning)
-
-        if isinstance(channel, aio.Channel):
-            # Ignore credentials if a channel was passed.
-            credentials = None
-            self._ignore_credentials = True
-            # If a channel was explicitly provided, set it.
-            self._grpc_channel = channel
-            self._ssl_channel_credentials = None
-        else:
-            if api_mtls_endpoint:
-                host = api_mtls_endpoint
-
-                # Create SSL credentials with client_cert_source or application
-                # default SSL credentials.
-                if client_cert_source:
-                    cert, key = client_cert_source()
-                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
-                        certificate_chain=cert, private_key=key
-                    )
-                else:
-                    self._ssl_channel_credentials = SslCredentials().ssl_credentials
-
-            else:
-                if client_cert_source_for_mtls and not ssl_channel_credentials:
-                    cert, key = client_cert_source_for_mtls()
-                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
-                        certificate_chain=cert, private_key=key
-                    )
-
-        # The base transport sets the host, credentials and scopes
-        super().__init__(
-            host=host,
-            credentials=credentials,
-            credentials_file=credentials_file,
-            scopes=scopes,
-            quota_project_id=quota_project_id,
-            client_info=client_info,
-            always_use_jwt_access=always_use_jwt_access,
-            api_audience=api_audience,
-        )
-
-        if not self._grpc_channel:
-            # initialize with the provided callable or the default channel
-            channel_init = channel or type(self).create_channel
-            self._grpc_channel = channel_init(
-                self._host,
-                # use the credentials which are saved
-                credentials=self._credentials,
-                # Set ``credentials_file`` to ``None`` here as
-                # the credentials that we saved earlier should be used.
-                credentials_file=None,
-                scopes=self._scopes,
-                ssl_credentials=self._ssl_channel_credentials,
-                quota_project_id=quota_project_id,
-                options=[
-                    ("grpc.max_send_message_length", -1),
-                    ("grpc.max_receive_message_length", -1),
-                ],
-            )
-
-        # Wrap messages. This must be done after self._grpc_channel exists
-        self._wrap_with_kind = "kind" in inspect.signature(gapic_v1.method_async.wrap_method).parameters
-        self._prep_wrapped_messages(client_info)
-
-    @property
-    def grpc_channel(self) -> aio.Channel:
-        """Create the channel designed to connect to this service.
-
-        This property caches on the instance; repeated calls return
-        the same channel.
-        """
-        # Return the channel from cache.
-        return self._grpc_channel
-
-    @property
-    def operations_client(self) -> operations_v1.OperationsAsyncClient:
-        """Create the client designed to process long-running operations.
-
-        This property caches on the instance; repeated calls return the same
-        client.
-        """
-        # Quick check: Only create a new client if we do not already have one.
-        if self._operations_client is None:
-            self._operations_client = operations_v1.OperationsAsyncClient(
-                self.grpc_channel
-            )
-
-        # Return the client from cache.
-        return self._operations_client
-
-    @property
-    def create_entry_type(self) -> Callable[
-            [catalog.CreateEntryTypeRequest],
-            Awaitable[operations_pb2.Operation]]:
-        r"""Return a callable for the create entry type method over gRPC.
-
-        Creates an EntryType.
-
-        Returns:
-            Callable[[~.CreateEntryTypeRequest],
-                    Awaitable[~.Operation]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'create_entry_type' not in self._stubs:
-            self._stubs['create_entry_type'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.CatalogService/CreateEntryType',
-                request_serializer=catalog.CreateEntryTypeRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['create_entry_type']
-
-    @property
-    def update_entry_type(self) -> Callable[
-            [catalog.UpdateEntryTypeRequest],
-            Awaitable[operations_pb2.Operation]]:
-        r"""Return a callable for the update entry type method over gRPC.
-
-        Updates an EntryType.
-
-        Returns:
-            Callable[[~.UpdateEntryTypeRequest],
-                    Awaitable[~.Operation]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'update_entry_type' not in self._stubs:
-            self._stubs['update_entry_type'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.CatalogService/UpdateEntryType',
-                request_serializer=catalog.UpdateEntryTypeRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['update_entry_type']
-
-    @property
-    def delete_entry_type(self) -> Callable[
-            [catalog.DeleteEntryTypeRequest],
-            Awaitable[operations_pb2.Operation]]:
-        r"""Return a callable for the delete entry type method over gRPC.
-
-        Deletes an EntryType.
-
-        Returns:
-            Callable[[~.DeleteEntryTypeRequest],
-                    Awaitable[~.Operation]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'delete_entry_type' not in self._stubs:
-            self._stubs['delete_entry_type'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.CatalogService/DeleteEntryType',
-                request_serializer=catalog.DeleteEntryTypeRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['delete_entry_type']
-
-    @property
-    def list_entry_types(self) -> Callable[
-            [catalog.ListEntryTypesRequest],
-            Awaitable[catalog.ListEntryTypesResponse]]:
-        r"""Return a callable for the list entry types method over gRPC.
-
-        Lists EntryType resources in a project and location.
-
-        Returns:
-            Callable[[~.ListEntryTypesRequest],
-                    Awaitable[~.ListEntryTypesResponse]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'list_entry_types' not in self._stubs:
-            self._stubs['list_entry_types'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.CatalogService/ListEntryTypes',
-                request_serializer=catalog.ListEntryTypesRequest.serialize,
-                response_deserializer=catalog.ListEntryTypesResponse.deserialize,
-            )
-        return self._stubs['list_entry_types']
-
-    @property
-    def get_entry_type(self) -> Callable[
-            [catalog.GetEntryTypeRequest],
-            Awaitable[catalog.EntryType]]:
-        r"""Return a callable for the get entry type method over gRPC.
-
-        Gets an EntryType.
-
-        Returns:
-            Callable[[~.GetEntryTypeRequest],
-                    Awaitable[~.EntryType]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'get_entry_type' not in self._stubs:
-            self._stubs['get_entry_type'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.CatalogService/GetEntryType',
-                request_serializer=catalog.GetEntryTypeRequest.serialize,
-                response_deserializer=catalog.EntryType.deserialize,
-            )
-        return self._stubs['get_entry_type']
-
-    @property
-    def create_aspect_type(self) -> Callable[
-            [catalog.CreateAspectTypeRequest],
-            Awaitable[operations_pb2.Operation]]:
-        r"""Return a callable for the create aspect type method over gRPC.
-
-        Creates an AspectType.
-
-        Returns:
-            Callable[[~.CreateAspectTypeRequest],
-                    Awaitable[~.Operation]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'create_aspect_type' not in self._stubs:
-            self._stubs['create_aspect_type'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.CatalogService/CreateAspectType',
-                request_serializer=catalog.CreateAspectTypeRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['create_aspect_type']
-
-    @property
-    def update_aspect_type(self) -> Callable[
-            [catalog.UpdateAspectTypeRequest],
-            Awaitable[operations_pb2.Operation]]:
-        r"""Return a callable for the update aspect type method over gRPC.
-
-        Updates an AspectType.
-
-        Returns:
-            Callable[[~.UpdateAspectTypeRequest],
-                    Awaitable[~.Operation]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'update_aspect_type' not in self._stubs:
-            self._stubs['update_aspect_type'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.CatalogService/UpdateAspectType',
-                request_serializer=catalog.UpdateAspectTypeRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['update_aspect_type']
-
-    @property
-    def delete_aspect_type(self) -> Callable[
-            [catalog.DeleteAspectTypeRequest],
-            Awaitable[operations_pb2.Operation]]:
-        r"""Return a callable for the delete aspect type method over gRPC.
-
-        Deletes an AspectType.
-
-        Returns:
-            Callable[[~.DeleteAspectTypeRequest],
-                    Awaitable[~.Operation]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'delete_aspect_type' not in self._stubs:
-            self._stubs['delete_aspect_type'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.CatalogService/DeleteAspectType',
-                request_serializer=catalog.DeleteAspectTypeRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['delete_aspect_type']
-
-    @property
-    def list_aspect_types(self) -> Callable[
-            [catalog.ListAspectTypesRequest],
-            Awaitable[catalog.ListAspectTypesResponse]]:
-        r"""Return a callable for the list aspect types method over gRPC.
-
-        Lists AspectType resources in a project and location.
-
-        Returns:
-            Callable[[~.ListAspectTypesRequest],
-                    Awaitable[~.ListAspectTypesResponse]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'list_aspect_types' not in self._stubs:
-            self._stubs['list_aspect_types'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.CatalogService/ListAspectTypes',
-                request_serializer=catalog.ListAspectTypesRequest.serialize,
-                response_deserializer=catalog.ListAspectTypesResponse.deserialize,
-            )
-        return self._stubs['list_aspect_types']
-
-    @property
-    def get_aspect_type(self) -> Callable[
-            [catalog.GetAspectTypeRequest],
-            Awaitable[catalog.AspectType]]:
-        r"""Return a callable for the get aspect type method over gRPC.
-
-        Gets an AspectType.
-
-        Returns:
-            Callable[[~.GetAspectTypeRequest],
-                    Awaitable[~.AspectType]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'get_aspect_type' not in self._stubs:
-            self._stubs['get_aspect_type'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.CatalogService/GetAspectType',
-                request_serializer=catalog.GetAspectTypeRequest.serialize,
-                response_deserializer=catalog.AspectType.deserialize,
-            )
-        return self._stubs['get_aspect_type']
-
-    @property
-    def create_entry_group(self) -> Callable[
-            [catalog.CreateEntryGroupRequest],
-            Awaitable[operations_pb2.Operation]]:
-        r"""Return a callable for the create entry group method over gRPC.
-
-        Creates an EntryGroup.
-
-        Returns:
-            Callable[[~.CreateEntryGroupRequest],
-                    Awaitable[~.Operation]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'create_entry_group' not in self._stubs:
-            self._stubs['create_entry_group'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.CatalogService/CreateEntryGroup',
-                request_serializer=catalog.CreateEntryGroupRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['create_entry_group']
-
-    @property
-    def update_entry_group(self) -> Callable[
-            [catalog.UpdateEntryGroupRequest],
-            Awaitable[operations_pb2.Operation]]:
-        r"""Return a callable for the update entry group method over gRPC.
-
-        Updates an EntryGroup.
-
-        Returns:
-            Callable[[~.UpdateEntryGroupRequest],
-                    Awaitable[~.Operation]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'update_entry_group' not in self._stubs:
-            self._stubs['update_entry_group'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.CatalogService/UpdateEntryGroup',
-                request_serializer=catalog.UpdateEntryGroupRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['update_entry_group']
-
-    @property
-    def delete_entry_group(self) -> Callable[
-            [catalog.DeleteEntryGroupRequest],
-            Awaitable[operations_pb2.Operation]]:
-        r"""Return a callable for the delete entry group method over gRPC.
-
-        Deletes an EntryGroup.
-
-        Returns:
-            Callable[[~.DeleteEntryGroupRequest],
-                    Awaitable[~.Operation]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'delete_entry_group' not in self._stubs:
-            self._stubs['delete_entry_group'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.CatalogService/DeleteEntryGroup',
-                request_serializer=catalog.DeleteEntryGroupRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['delete_entry_group']
-
-    @property
-    def list_entry_groups(self) -> Callable[
-            [catalog.ListEntryGroupsRequest],
-            Awaitable[catalog.ListEntryGroupsResponse]]:
-        r"""Return a callable for the list entry groups method over gRPC.
-
-        Lists EntryGroup resources in a project and location.
-
-        Returns:
-            Callable[[~.ListEntryGroupsRequest],
-                    Awaitable[~.ListEntryGroupsResponse]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'list_entry_groups' not in self._stubs:
-            self._stubs['list_entry_groups'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.CatalogService/ListEntryGroups',
-                request_serializer=catalog.ListEntryGroupsRequest.serialize,
-                response_deserializer=catalog.ListEntryGroupsResponse.deserialize,
-            )
-        return self._stubs['list_entry_groups']
-
-    @property
-    def get_entry_group(self) -> Callable[
-            [catalog.GetEntryGroupRequest],
-            Awaitable[catalog.EntryGroup]]:
-        r"""Return a callable for the get entry group method over gRPC.
-
-        Gets an EntryGroup.
-
-        Returns:
-            Callable[[~.GetEntryGroupRequest],
-                    Awaitable[~.EntryGroup]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'get_entry_group' not in self._stubs:
-            self._stubs['get_entry_group'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.CatalogService/GetEntryGroup',
-                request_serializer=catalog.GetEntryGroupRequest.serialize,
-                response_deserializer=catalog.EntryGroup.deserialize,
-            )
-        return self._stubs['get_entry_group']
-
-    @property
-    def create_entry(self) -> Callable[
-            [catalog.CreateEntryRequest],
-            Awaitable[catalog.Entry]]:
-        r"""Return a callable for the create entry method over gRPC.
-
-        Creates an Entry.
-
-        Returns:
-            Callable[[~.CreateEntryRequest],
-                    Awaitable[~.Entry]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'create_entry' not in self._stubs:
-            self._stubs['create_entry'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.CatalogService/CreateEntry',
-                request_serializer=catalog.CreateEntryRequest.serialize,
-                response_deserializer=catalog.Entry.deserialize,
-            )
-        return self._stubs['create_entry']
-
-    @property
-    def update_entry(self) -> Callable[
-            [catalog.UpdateEntryRequest],
-            Awaitable[catalog.Entry]]:
-        r"""Return a callable for the update entry method over gRPC.
-
-        Updates an Entry.
-
-        Returns:
-            Callable[[~.UpdateEntryRequest],
-                    Awaitable[~.Entry]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'update_entry' not in self._stubs:
-            self._stubs['update_entry'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.CatalogService/UpdateEntry',
-                request_serializer=catalog.UpdateEntryRequest.serialize,
-                response_deserializer=catalog.Entry.deserialize,
-            )
-        return self._stubs['update_entry']
-
-    @property
-    def delete_entry(self) -> Callable[
-            [catalog.DeleteEntryRequest],
-            Awaitable[catalog.Entry]]:
-        r"""Return a callable for the delete entry method over gRPC.
-
-        Deletes an Entry.
-
-        Returns:
-            Callable[[~.DeleteEntryRequest],
-                    Awaitable[~.Entry]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'delete_entry' not in self._stubs:
-            self._stubs['delete_entry'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.CatalogService/DeleteEntry',
-                request_serializer=catalog.DeleteEntryRequest.serialize,
-                response_deserializer=catalog.Entry.deserialize,
-            )
-        return self._stubs['delete_entry']
-
-    @property
-    def list_entries(self) -> Callable[
-            [catalog.ListEntriesRequest],
-            Awaitable[catalog.ListEntriesResponse]]:
-        r"""Return a callable for the list entries method over gRPC.
-
-        Lists Entries within an EntryGroup.
-
-        Returns:
-            Callable[[~.ListEntriesRequest],
-                    Awaitable[~.ListEntriesResponse]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'list_entries' not in self._stubs:
-            self._stubs['list_entries'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.CatalogService/ListEntries',
-                request_serializer=catalog.ListEntriesRequest.serialize,
-                response_deserializer=catalog.ListEntriesResponse.deserialize,
-            )
-        return self._stubs['list_entries']
-
-    @property
-    def get_entry(self) -> Callable[
-            [catalog.GetEntryRequest],
-            Awaitable[catalog.Entry]]:
-        r"""Return a callable for the get entry method over gRPC.
-
-        Gets an Entry.
-
-        **Caution**: The BigQuery metadata that is stored in Dataplex
-        Catalog is changing. For more information, see `Changes to
-        BigQuery metadata stored in Dataplex
-        Catalog <https://cloud.google.com/dataplex/docs/biqquery-metadata-changes>`__.
-
-        Returns:
-            Callable[[~.GetEntryRequest],
-                    Awaitable[~.Entry]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'get_entry' not in self._stubs:
-            self._stubs['get_entry'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.CatalogService/GetEntry',
-                request_serializer=catalog.GetEntryRequest.serialize,
-                response_deserializer=catalog.Entry.deserialize,
-            )
-        return self._stubs['get_entry']
-
-    @property
-    def lookup_entry(self) -> Callable[
-            [catalog.LookupEntryRequest],
-            Awaitable[catalog.Entry]]:
-        r"""Return a callable for the lookup entry method over gRPC.
-
-        Looks up a single Entry by name using the permission on the
-        source system.
-
-        **Caution**: The BigQuery metadata that is stored in Dataplex
-        Catalog is changing. For more information, see `Changes to
-        BigQuery metadata stored in Dataplex
-        Catalog <https://cloud.google.com/dataplex/docs/biqquery-metadata-changes>`__.
-
-        Returns:
-            Callable[[~.LookupEntryRequest],
-                    Awaitable[~.Entry]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'lookup_entry' not in self._stubs:
-            self._stubs['lookup_entry'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.CatalogService/LookupEntry',
-                request_serializer=catalog.LookupEntryRequest.serialize,
-                response_deserializer=catalog.Entry.deserialize,
-            )
-        return self._stubs['lookup_entry']
-
-    @property
-    def search_entries(self) -> Callable[
-            [catalog.SearchEntriesRequest],
-            Awaitable[catalog.SearchEntriesResponse]]:
-        r"""Return a callable for the search entries method over gRPC.
-
-        Searches for Entries matching the given query and
-        scope.
-
-        Returns:
-            Callable[[~.SearchEntriesRequest],
-                    Awaitable[~.SearchEntriesResponse]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'search_entries' not in self._stubs:
-            self._stubs['search_entries'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.CatalogService/SearchEntries',
-                request_serializer=catalog.SearchEntriesRequest.serialize,
-                response_deserializer=catalog.SearchEntriesResponse.deserialize,
-            )
-        return self._stubs['search_entries']
-
-    @property
-    def create_metadata_job(self) -> Callable[
-            [catalog.CreateMetadataJobRequest],
-            Awaitable[operations_pb2.Operation]]:
-        r"""Return a callable for the create metadata job method over gRPC.
-
-        Creates a metadata job. For example, use a metadata
-        job to import Dataplex Catalog entries and aspects from
-        a third-party system into Dataplex.
-
-        Returns:
-            Callable[[~.CreateMetadataJobRequest],
-                    Awaitable[~.Operation]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'create_metadata_job' not in self._stubs:
-            self._stubs['create_metadata_job'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.CatalogService/CreateMetadataJob',
-                request_serializer=catalog.CreateMetadataJobRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['create_metadata_job']
-
-    @property
-    def get_metadata_job(self) -> Callable[
-            [catalog.GetMetadataJobRequest],
-            Awaitable[catalog.MetadataJob]]:
-        r"""Return a callable for the get metadata job method over gRPC.
-
-        Gets a metadata job.
-
-        Returns:
-            Callable[[~.GetMetadataJobRequest],
-                    Awaitable[~.MetadataJob]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'get_metadata_job' not in self._stubs:
-            self._stubs['get_metadata_job'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.CatalogService/GetMetadataJob',
-                request_serializer=catalog.GetMetadataJobRequest.serialize,
-                response_deserializer=catalog.MetadataJob.deserialize,
-            )
-        return self._stubs['get_metadata_job']
-
-    @property
-    def list_metadata_jobs(self) -> Callable[
-            [catalog.ListMetadataJobsRequest],
-            Awaitable[catalog.ListMetadataJobsResponse]]:
-        r"""Return a callable for the list metadata jobs method over gRPC.
-
-        Lists metadata jobs.
-
-        Returns:
-            Callable[[~.ListMetadataJobsRequest],
-                    Awaitable[~.ListMetadataJobsResponse]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'list_metadata_jobs' not in self._stubs:
-            self._stubs['list_metadata_jobs'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.CatalogService/ListMetadataJobs',
-                request_serializer=catalog.ListMetadataJobsRequest.serialize,
-                response_deserializer=catalog.ListMetadataJobsResponse.deserialize,
-            )
-        return self._stubs['list_metadata_jobs']
-
-    @property
-    def cancel_metadata_job(self) -> Callable[
-            [catalog.CancelMetadataJobRequest],
-            Awaitable[empty_pb2.Empty]]:
-        r"""Return a callable for the cancel metadata job method over gRPC.
-
-        Cancels a metadata job.
-
-        If you cancel a metadata import job that is in progress,
-        the changes in the job might be partially applied. We
-        recommend that you reset the state of the entry groups
-        in your project by running another metadata job that
-        reverts the changes from the canceled job.
-
-        Returns:
-            Callable[[~.CancelMetadataJobRequest],
-                    Awaitable[~.Empty]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'cancel_metadata_job' not in self._stubs:
-            self._stubs['cancel_metadata_job'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.CatalogService/CancelMetadataJob',
-                request_serializer=catalog.CancelMetadataJobRequest.serialize,
-                response_deserializer=empty_pb2.Empty.FromString,
-            )
-        return self._stubs['cancel_metadata_job']
-
-    def _prep_wrapped_messages(self, client_info):
-        """ Precompute the wrapped methods, overriding the base class method to use async wrappers."""
-        self._wrapped_methods = {
-            self.create_entry_type: self._wrap_method(
-                self.create_entry_type,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.update_entry_type: self._wrap_method(
-                self.update_entry_type,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.delete_entry_type: self._wrap_method(
-                self.delete_entry_type,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.list_entry_types: self._wrap_method(
-                self.list_entry_types,
-                default_retry=retries.AsyncRetry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ResourceExhausted,
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.get_entry_type: self._wrap_method(
-                self.get_entry_type,
-                default_retry=retries.AsyncRetry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ResourceExhausted,
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.create_aspect_type: self._wrap_method(
-                self.create_aspect_type,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.update_aspect_type: self._wrap_method(
-                self.update_aspect_type,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.delete_aspect_type: self._wrap_method(
-                self.delete_aspect_type,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.list_aspect_types: self._wrap_method(
-                self.list_aspect_types,
-                default_retry=retries.AsyncRetry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ResourceExhausted,
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.get_aspect_type: self._wrap_method(
-                self.get_aspect_type,
-                default_retry=retries.AsyncRetry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ResourceExhausted,
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.create_entry_group: self._wrap_method(
-                self.create_entry_group,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.update_entry_group: self._wrap_method(
-                self.update_entry_group,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.delete_entry_group: self._wrap_method(
-                self.delete_entry_group,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.list_entry_groups: self._wrap_method(
-                self.list_entry_groups,
-                default_retry=retries.AsyncRetry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ResourceExhausted,
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.get_entry_group: self._wrap_method(
-                self.get_entry_group,
-                default_retry=retries.AsyncRetry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ResourceExhausted,
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.create_entry: self._wrap_method(
-                self.create_entry,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.update_entry: self._wrap_method(
-                self.update_entry,
-                default_retry=retries.AsyncRetry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ResourceExhausted,
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.delete_entry: self._wrap_method(
-                self.delete_entry,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.list_entries: self._wrap_method(
-                self.list_entries,
-                default_retry=retries.AsyncRetry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ResourceExhausted,
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=20.0,
-                ),
-                default_timeout=20.0,
-                client_info=client_info,
-            ),
-            self.get_entry: self._wrap_method(
-                self.get_entry,
-                default_retry=retries.AsyncRetry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ResourceExhausted,
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=20.0,
-                ),
-                default_timeout=20.0,
-                client_info=client_info,
-            ),
-            self.lookup_entry: self._wrap_method(
-                self.lookup_entry,
-                default_retry=retries.AsyncRetry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ResourceExhausted,
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=20.0,
-                ),
-                default_timeout=20.0,
-                client_info=client_info,
-            ),
-            self.search_entries: self._wrap_method(
-                self.search_entries,
-                default_retry=retries.AsyncRetry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ResourceExhausted,
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.create_metadata_job: self._wrap_method(
-                self.create_metadata_job,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.get_metadata_job: self._wrap_method(
-                self.get_metadata_job,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.list_metadata_jobs: self._wrap_method(
-                self.list_metadata_jobs,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.cancel_metadata_job: self._wrap_method(
-                self.cancel_metadata_job,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.get_location: self._wrap_method(
-                self.get_location,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.list_locations: self._wrap_method(
-                self.list_locations,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.cancel_operation: self._wrap_method(
-                self.cancel_operation,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.delete_operation: self._wrap_method(
-                self.delete_operation,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.get_operation: self._wrap_method(
-                self.get_operation,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.list_operations: self._wrap_method(
-                self.list_operations,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-        }
-
-    def _wrap_method(self, func, *args, **kwargs):
-        if self._wrap_with_kind:  # pragma: NO COVER
-            kwargs["kind"] = self.kind
-        return gapic_v1.method_async.wrap_method(func, *args, **kwargs)
-
-    def close(self):
-        return self.grpc_channel.close()
-
-    @property
-    def kind(self) -> str:
-        return "grpc_asyncio"
-
-    @property
-    def delete_operation(
-        self,
-    ) -> Callable[[operations_pb2.DeleteOperationRequest], None]:
-        r"""Return a callable for the delete_operation method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "delete_operation" not in self._stubs:
-            self._stubs["delete_operation"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/DeleteOperation",
-                request_serializer=operations_pb2.DeleteOperationRequest.SerializeToString,
-                response_deserializer=None,
-            )
-        return self._stubs["delete_operation"]
-
-    @property
-    def cancel_operation(
-        self,
-    ) -> Callable[[operations_pb2.CancelOperationRequest], None]:
-        r"""Return a callable for the cancel_operation method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "cancel_operation" not in self._stubs:
-            self._stubs["cancel_operation"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/CancelOperation",
-                request_serializer=operations_pb2.CancelOperationRequest.SerializeToString,
-                response_deserializer=None,
-            )
-        return self._stubs["cancel_operation"]
-
-    @property
-    def get_operation(
-        self,
-    ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]:
-        r"""Return a callable for the get_operation method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "get_operation" not in self._stubs:
-            self._stubs["get_operation"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/GetOperation",
-                request_serializer=operations_pb2.GetOperationRequest.SerializeToString,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs["get_operation"]
-
-    @property
-    def list_operations(
-        self,
-    ) -> Callable[[operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse]:
-        r"""Return a callable for the list_operations method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "list_operations" not in self._stubs:
-            self._stubs["list_operations"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/ListOperations",
-                request_serializer=operations_pb2.ListOperationsRequest.SerializeToString,
-                response_deserializer=operations_pb2.ListOperationsResponse.FromString,
-            )
-        return self._stubs["list_operations"]
-
-    @property
-    def list_locations(
-        self,
-    ) -> Callable[[locations_pb2.ListLocationsRequest], locations_pb2.ListLocationsResponse]:
-        r"""Return a callable for the list locations method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "list_locations" not in self._stubs:
-            self._stubs["list_locations"] = self.grpc_channel.unary_unary(
-                "/google.cloud.location.Locations/ListLocations",
-                request_serializer=locations_pb2.ListLocationsRequest.SerializeToString,
-                response_deserializer=locations_pb2.ListLocationsResponse.FromString,
-            )
-        return self._stubs["list_locations"]
-
-    @property
-    def get_location(
-        self,
-    ) -> Callable[[locations_pb2.GetLocationRequest], locations_pb2.Location]:
-        r"""Return a callable for the list locations method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "get_location" not in self._stubs:
-            self._stubs["get_location"] = self.grpc_channel.unary_unary(
-                "/google.cloud.location.Locations/GetLocation",
-                request_serializer=locations_pb2.GetLocationRequest.SerializeToString,
-                response_deserializer=locations_pb2.Location.FromString,
-            )
-        return self._stubs["get_location"]
-
-
-__all__ = (
-    'CatalogServiceGrpcAsyncIOTransport',
-)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/content_service/__init__.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/content_service/__init__.py
deleted file mode 100644
index d5c571190bc7..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/content_service/__init__.py
+++ /dev/null
@@ -1,22 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from .client import ContentServiceClient
-from .async_client import ContentServiceAsyncClient
-
-__all__ = (
-    'ContentServiceClient',
-    'ContentServiceAsyncClient',
-)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/content_service/async_client.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/content_service/async_client.py
deleted file mode 100644
index 0d74d046caec..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/content_service/async_client.py
+++ /dev/null
@@ -1,1435 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from collections import OrderedDict
-import re
-from typing import Dict, Callable, Mapping, MutableMapping, MutableSequence, Optional, Sequence, Tuple, Type, Union
-
-from google.cloud.dataplex_v1 import gapic_version as package_version
-
-from google.api_core.client_options import ClientOptions
-from google.api_core import exceptions as core_exceptions
-from google.api_core import gapic_v1
-from google.api_core import retry_async as retries
-from google.auth import credentials as ga_credentials   # type: ignore
-from google.oauth2 import service_account              # type: ignore
-
-
-try:
-    OptionalRetry = Union[retries.AsyncRetry, gapic_v1.method._MethodDefault, None]
-except AttributeError:  # pragma: NO COVER
-    OptionalRetry = Union[retries.AsyncRetry, object, None]  # type: ignore
-
-from google.cloud.dataplex_v1.services.content_service import pagers
-from google.cloud.dataplex_v1.types import analyze
-from google.cloud.dataplex_v1.types import content
-from google.cloud.dataplex_v1.types import content as gcd_content
-from google.cloud.location import locations_pb2 # type: ignore
-from google.iam.v1 import iam_policy_pb2  # type: ignore
-from google.iam.v1 import policy_pb2  # type: ignore
-from google.longrunning import operations_pb2 # type: ignore
-from google.protobuf import field_mask_pb2  # type: ignore
-from google.protobuf import timestamp_pb2  # type: ignore
-from .transports.base import ContentServiceTransport, DEFAULT_CLIENT_INFO
-from .transports.grpc_asyncio import ContentServiceGrpcAsyncIOTransport
-from .client import ContentServiceClient
-
-
-class ContentServiceAsyncClient:
-    """ContentService manages Notebook and SQL Scripts for Dataplex."""
-
-    _client: ContentServiceClient
-
-    # Copy defaults from the synchronous client for use here.
-    # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead.
-    DEFAULT_ENDPOINT = ContentServiceClient.DEFAULT_ENDPOINT
-    DEFAULT_MTLS_ENDPOINT = ContentServiceClient.DEFAULT_MTLS_ENDPOINT
-    _DEFAULT_ENDPOINT_TEMPLATE = ContentServiceClient._DEFAULT_ENDPOINT_TEMPLATE
-    _DEFAULT_UNIVERSE = ContentServiceClient._DEFAULT_UNIVERSE
-
-    content_path = staticmethod(ContentServiceClient.content_path)
-    parse_content_path = staticmethod(ContentServiceClient.parse_content_path)
-    lake_path = staticmethod(ContentServiceClient.lake_path)
-    parse_lake_path = staticmethod(ContentServiceClient.parse_lake_path)
-    common_billing_account_path = staticmethod(ContentServiceClient.common_billing_account_path)
-    parse_common_billing_account_path = staticmethod(ContentServiceClient.parse_common_billing_account_path)
-    common_folder_path = staticmethod(ContentServiceClient.common_folder_path)
-    parse_common_folder_path = staticmethod(ContentServiceClient.parse_common_folder_path)
-    common_organization_path = staticmethod(ContentServiceClient.common_organization_path)
-    parse_common_organization_path = staticmethod(ContentServiceClient.parse_common_organization_path)
-    common_project_path = staticmethod(ContentServiceClient.common_project_path)
-    parse_common_project_path = staticmethod(ContentServiceClient.parse_common_project_path)
-    common_location_path = staticmethod(ContentServiceClient.common_location_path)
-    parse_common_location_path = staticmethod(ContentServiceClient.parse_common_location_path)
-
-    @classmethod
-    def from_service_account_info(cls, info: dict, *args, **kwargs):
-        """Creates an instance of this client using the provided credentials
-            info.
-
-        Args:
-            info (dict): The service account private key info.
-            args: Additional arguments to pass to the constructor.
-            kwargs: Additional arguments to pass to the constructor.
-
-        Returns:
-            ContentServiceAsyncClient: The constructed client.
-        """
-        return ContentServiceClient.from_service_account_info.__func__(ContentServiceAsyncClient, info, *args, **kwargs)  # type: ignore
-
-    @classmethod
-    def from_service_account_file(cls, filename: str, *args, **kwargs):
-        """Creates an instance of this client using the provided credentials
-            file.
-
-        Args:
-            filename (str): The path to the service account private key json
-                file.
-            args: Additional arguments to pass to the constructor.
-            kwargs: Additional arguments to pass to the constructor.
-
-        Returns:
-            ContentServiceAsyncClient: The constructed client.
-        """
-        return ContentServiceClient.from_service_account_file.__func__(ContentServiceAsyncClient, filename, *args, **kwargs)  # type: ignore
-
-    from_service_account_json = from_service_account_file
-
-    @classmethod
-    def get_mtls_endpoint_and_cert_source(cls, client_options: Optional[ClientOptions] = None):
-        """Return the API endpoint and client cert source for mutual TLS.
-
-        The client cert source is determined in the following order:
-        (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the
-        client cert source is None.
-        (2) if `client_options.client_cert_source` is provided, use the provided one; if the
-        default client cert source exists, use the default one; otherwise the client cert
-        source is None.
-
-        The API endpoint is determined in the following order:
-        (1) if `client_options.api_endpoint` if provided, use the provided one.
-        (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the
-        default mTLS endpoint; if the environment variable is "never", use the default API
-        endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise
-        use the default API endpoint.
-
-        More details can be found at https://google.aip.dev/auth/4114.
-
-        Args:
-            client_options (google.api_core.client_options.ClientOptions): Custom options for the
-                client. Only the `api_endpoint` and `client_cert_source` properties may be used
-                in this method.
-
-        Returns:
-            Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the
-                client cert source to use.
-
-        Raises:
-            google.auth.exceptions.MutualTLSChannelError: If any errors happen.
-        """
-        return ContentServiceClient.get_mtls_endpoint_and_cert_source(client_options)  # type: ignore
-
-    @property
-    def transport(self) -> ContentServiceTransport:
-        """Returns the transport used by the client instance.
-
-        Returns:
-            ContentServiceTransport: The transport used by the client instance.
-        """
-        return self._client.transport
-
-    @property
-    def api_endpoint(self):
-        """Return the API endpoint used by the client instance.
-
-        Returns:
-            str: The API endpoint used by the client instance.
-        """
-        return self._client._api_endpoint
-
-    @property
-    def universe_domain(self) -> str:
-        """Return the universe domain used by the client instance.
-
-        Returns:
-            str: The universe domain used
-                by the client instance.
-        """
-        return self._client._universe_domain
-
-    get_transport_class = ContentServiceClient.get_transport_class
-
-    def __init__(self, *,
-            credentials: Optional[ga_credentials.Credentials] = None,
-            transport: Optional[Union[str, ContentServiceTransport, Callable[..., ContentServiceTransport]]] = "grpc_asyncio",
-            client_options: Optional[ClientOptions] = None,
-            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-            ) -> None:
-        """Instantiates the content service async client.
-
-        Args:
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-            transport (Optional[Union[str,ContentServiceTransport,Callable[..., ContentServiceTransport]]]):
-                The transport to use, or a Callable that constructs and returns a new transport to use.
-                If a Callable is given, it will be called with the same set of initialization
-                arguments as used in the ContentServiceTransport constructor.
-                If set to None, a transport is chosen automatically.
-            client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]):
-                Custom options for the client.
-
-                1. The ``api_endpoint`` property can be used to override the
-                default endpoint provided by the client when ``transport`` is
-                not explicitly provided. Only if this property is not set and
-                ``transport`` was not explicitly provided, the endpoint is
-                determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment
-                variable, which have one of the following values:
-                "always" (always use the default mTLS endpoint), "never" (always
-                use the default regular endpoint) and "auto" (auto-switch to the
-                default mTLS endpoint if client certificate is present; this is
-                the default value).
-
-                2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable
-                is "true", then the ``client_cert_source`` property can be used
-                to provide a client certificate for mTLS transport. If
-                not provided, the default SSL client certificate will be used if
-                present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not
-                set, no client certificate will be used.
-
-                3. The ``universe_domain`` property can be used to override the
-                default "googleapis.com" universe. Note that ``api_endpoint``
-                property still takes precedence; and ``universe_domain`` is
-                currently not supported for mTLS.
-
-            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
-                The client info used to send a user-agent string along with
-                API requests. If ``None``, then default info will be used.
-                Generally, you only need to set this if you're developing
-                your own client library.
-
-        Raises:
-            google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport
-                creation failed for any reason.
-        """
-        self._client = ContentServiceClient(
-            credentials=credentials,
-            transport=transport,
-            client_options=client_options,
-            client_info=client_info,
-
-        )
-
-    async def create_content(self,
-            request: Optional[Union[gcd_content.CreateContentRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            content: Optional[analyze.Content] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> analyze.Content:
-        r"""Create a content.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_create_content():
-                # Create a client
-                client = dataplex_v1.ContentServiceAsyncClient()
-
-                # Initialize request argument(s)
-                content = dataplex_v1.Content()
-                content.data_text = "data_text_value"
-                content.sql_script.engine = "SPARK"
-                content.path = "path_value"
-
-                request = dataplex_v1.CreateContentRequest(
-                    parent="parent_value",
-                    content=content,
-                )
-
-                # Make the request
-                response = await client.create_content(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.CreateContentRequest, dict]]):
-                The request object. Create content request.
-            parent (:class:`str`):
-                Required. The resource name of the parent lake:
-                projects/{project_id}/locations/{location_id}/lakes/{lake_id}
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            content (:class:`google.cloud.dataplex_v1.types.Content`):
-                Required. Content resource.
-                This corresponds to the ``content`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.Content:
-                Content represents a user-visible
-                notebook or a sql script
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent, content])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, gcd_content.CreateContentRequest):
-            request = gcd_content.CreateContentRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if parent is not None:
-            request.parent = parent
-        if content is not None:
-            request.content = content
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.create_content]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def update_content(self,
-            request: Optional[Union[gcd_content.UpdateContentRequest, dict]] = None,
-            *,
-            content: Optional[analyze.Content] = None,
-            update_mask: Optional[field_mask_pb2.FieldMask] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> analyze.Content:
-        r"""Update a content. Only supports full resource update.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_update_content():
-                # Create a client
-                client = dataplex_v1.ContentServiceAsyncClient()
-
-                # Initialize request argument(s)
-                content = dataplex_v1.Content()
-                content.data_text = "data_text_value"
-                content.sql_script.engine = "SPARK"
-                content.path = "path_value"
-
-                request = dataplex_v1.UpdateContentRequest(
-                    content=content,
-                )
-
-                # Make the request
-                response = await client.update_content(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.UpdateContentRequest, dict]]):
-                The request object. Update content request.
-            content (:class:`google.cloud.dataplex_v1.types.Content`):
-                Required. Update description. Only fields specified in
-                ``update_mask`` are updated.
-
-                This corresponds to the ``content`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`):
-                Required. Mask of fields to update.
-                This corresponds to the ``update_mask`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.Content:
-                Content represents a user-visible
-                notebook or a sql script
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([content, update_mask])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, gcd_content.UpdateContentRequest):
-            request = gcd_content.UpdateContentRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if content is not None:
-            request.content = content
-        if update_mask is not None:
-            request.update_mask = update_mask
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.update_content]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("content.name", request.content.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def delete_content(self,
-            request: Optional[Union[content.DeleteContentRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> None:
-        r"""Delete a content.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_delete_content():
-                # Create a client
-                client = dataplex_v1.ContentServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.DeleteContentRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                await client.delete_content(request=request)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.DeleteContentRequest, dict]]):
-                The request object. Delete content request.
-            name (:class:`str`):
-                Required. The resource name of the content:
-                projects/{project_id}/locations/{location_id}/lakes/{lake_id}/content/{content_id}
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, content.DeleteContentRequest):
-            request = content.DeleteContentRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.delete_content]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-    async def get_content(self,
-            request: Optional[Union[content.GetContentRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> analyze.Content:
-        r"""Get a content resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_get_content():
-                # Create a client
-                client = dataplex_v1.ContentServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.GetContentRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = await client.get_content(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.GetContentRequest, dict]]):
-                The request object. Get content request.
-            name (:class:`str`):
-                Required. The resource name of the content:
-                projects/{project_id}/locations/{location_id}/lakes/{lake_id}/content/{content_id}
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.Content:
-                Content represents a user-visible
-                notebook or a sql script
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, content.GetContentRequest):
-            request = content.GetContentRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.get_content]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def get_iam_policy(self,
-            request: Optional[Union[iam_policy_pb2.GetIamPolicyRequest, dict]] = None,
-            *,
-            resource: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> policy_pb2.Policy:
-        r"""Gets the access control policy for a contentitem resource. A
-        ``NOT_FOUND`` error is returned if the resource does not exist.
-        An empty policy is returned if the resource exists but does not
-        have a policy set on it.
-
-        Caller must have Google IAM ``dataplex.content.getIamPolicy``
-        permission on the resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-            from google.iam.v1 import iam_policy_pb2  # type: ignore
-
-            async def sample_get_iam_policy():
-                # Create a client
-                client = dataplex_v1.ContentServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = iam_policy_pb2.GetIamPolicyRequest(
-                    resource="resource_value",
-                )
-
-                # Make the request
-                response = await client.get_iam_policy(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest, dict]]):
-                The request object. Request message for ``GetIamPolicy`` method.
-            resource (:class:`str`):
-                REQUIRED: The resource for which the
-                policy is being requested. See the
-                operation documentation for the
-                appropriate value for this field.
-
-                This corresponds to the ``resource`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.iam.v1.policy_pb2.Policy:
-                An Identity and Access Management (IAM) policy, which specifies access
-                   controls for Google Cloud resources.
-
-                   A Policy is a collection of bindings. A binding binds
-                   one or more members, or principals, to a single role.
-                   Principals can be user accounts, service accounts,
-                   Google groups, and domains (such as G Suite). A role
-                   is a named list of permissions; each role can be an
-                   IAM predefined role or a user-created custom role.
-
-                   For some types of Google Cloud resources, a binding
-                   can also specify a condition, which is a logical
-                   expression that allows access to a resource only if
-                   the expression evaluates to true. A condition can add
-                   constraints based on attributes of the request, the
-                   resource, or both. To learn which resources support
-                   conditions in their IAM policies, see the [IAM
-                   documentation](\ https://cloud.google.com/iam/help/conditions/resource-policies).
-
-                   **JSON example:**
-
-                   :literal:`\`     {       "bindings": [         {           "role": "roles/resourcemanager.organizationAdmin",           "members": [             "user:mike@example.com",             "group:admins@example.com",             "domain:google.com",             "serviceAccount:my-project-id@appspot.gserviceaccount.com"           ]         },         {           "role": "roles/resourcemanager.organizationViewer",           "members": [             "user:eve@example.com"           ],           "condition": {             "title": "expirable access",             "description": "Does not grant access after Sep 2020",             "expression": "request.time <             timestamp('2020-10-01T00:00:00.000Z')",           }         }       ],       "etag": "BwWWja0YfJA=",       "version": 3     }`\ \`
-
-                   **YAML example:**
-
-                   :literal:`\`     bindings:     - members:       - user:mike@example.com       - group:admins@example.com       - domain:google.com       - serviceAccount:my-project-id@appspot.gserviceaccount.com       role: roles/resourcemanager.organizationAdmin     - members:       - user:eve@example.com       role: roles/resourcemanager.organizationViewer       condition:         title: expirable access         description: Does not grant access after Sep 2020         expression: request.time < timestamp('2020-10-01T00:00:00.000Z')     etag: BwWWja0YfJA=     version: 3`\ \`
-
-                   For a description of IAM and its features, see the
-                   [IAM
-                   documentation](\ https://cloud.google.com/iam/docs/).
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([resource])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-         # - The request isn't a proto-plus wrapped type,
-        #   so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = iam_policy_pb2.GetIamPolicyRequest(**request)
-        elif not request:
-            request = iam_policy_pb2.GetIamPolicyRequest(resource=resource)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.get_iam_policy]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("resource", request.resource),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def set_iam_policy(self,
-            request: Optional[Union[iam_policy_pb2.SetIamPolicyRequest, dict]] = None,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> policy_pb2.Policy:
-        r"""Sets the access control policy on the specified contentitem
-        resource. Replaces any existing policy.
-
-        Caller must have Google IAM ``dataplex.content.setIamPolicy``
-        permission on the resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-            from google.iam.v1 import iam_policy_pb2  # type: ignore
-
-            async def sample_set_iam_policy():
-                # Create a client
-                client = dataplex_v1.ContentServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = iam_policy_pb2.SetIamPolicyRequest(
-                    resource="resource_value",
-                )
-
-                # Make the request
-                response = await client.set_iam_policy(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest, dict]]):
-                The request object. Request message for ``SetIamPolicy`` method.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.iam.v1.policy_pb2.Policy:
-                An Identity and Access Management (IAM) policy, which specifies access
-                   controls for Google Cloud resources.
-
-                   A Policy is a collection of bindings. A binding binds
-                   one or more members, or principals, to a single role.
-                   Principals can be user accounts, service accounts,
-                   Google groups, and domains (such as G Suite). A role
-                   is a named list of permissions; each role can be an
-                   IAM predefined role or a user-created custom role.
-
-                   For some types of Google Cloud resources, a binding
-                   can also specify a condition, which is a logical
-                   expression that allows access to a resource only if
-                   the expression evaluates to true. A condition can add
-                   constraints based on attributes of the request, the
-                   resource, or both. To learn which resources support
-                   conditions in their IAM policies, see the [IAM
-                   documentation](\ https://cloud.google.com/iam/help/conditions/resource-policies).
-
-                   **JSON example:**
-
-                   :literal:`\`     {       "bindings": [         {           "role": "roles/resourcemanager.organizationAdmin",           "members": [             "user:mike@example.com",             "group:admins@example.com",             "domain:google.com",             "serviceAccount:my-project-id@appspot.gserviceaccount.com"           ]         },         {           "role": "roles/resourcemanager.organizationViewer",           "members": [             "user:eve@example.com"           ],           "condition": {             "title": "expirable access",             "description": "Does not grant access after Sep 2020",             "expression": "request.time <             timestamp('2020-10-01T00:00:00.000Z')",           }         }       ],       "etag": "BwWWja0YfJA=",       "version": 3     }`\ \`
-
-                   **YAML example:**
-
-                   :literal:`\`     bindings:     - members:       - user:mike@example.com       - group:admins@example.com       - domain:google.com       - serviceAccount:my-project-id@appspot.gserviceaccount.com       role: roles/resourcemanager.organizationAdmin     - members:       - user:eve@example.com       role: roles/resourcemanager.organizationViewer       condition:         title: expirable access         description: Does not grant access after Sep 2020         expression: request.time < timestamp('2020-10-01T00:00:00.000Z')     etag: BwWWja0YfJA=     version: 3`\ \`
-
-                   For a description of IAM and its features, see the
-                   [IAM
-                   documentation](\ https://cloud.google.com/iam/docs/).
-
-        """
-        # Create or coerce a protobuf request object.
-         # - The request isn't a proto-plus wrapped type,
-        #   so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = iam_policy_pb2.SetIamPolicyRequest(**request)
-        elif not request:
-            request = iam_policy_pb2.SetIamPolicyRequest()
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.set_iam_policy]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("resource", request.resource),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def test_iam_permissions(self,
-            request: Optional[Union[iam_policy_pb2.TestIamPermissionsRequest, dict]] = None,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> iam_policy_pb2.TestIamPermissionsResponse:
-        r"""Returns the caller's permissions on a resource. If the resource
-        does not exist, an empty set of permissions is returned (a
-        ``NOT_FOUND`` error is not returned).
-
-        A caller is not required to have Google IAM permission to make
-        this request.
-
-        Note: This operation is designed to be used for building
-        permission-aware UIs and command-line tools, not for
-        authorization checking. This operation may "fail open" without
-        warning.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-            from google.iam.v1 import iam_policy_pb2  # type: ignore
-
-            async def sample_test_iam_permissions():
-                # Create a client
-                client = dataplex_v1.ContentServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = iam_policy_pb2.TestIamPermissionsRequest(
-                    resource="resource_value",
-                    permissions=['permissions_value1', 'permissions_value2'],
-                )
-
-                # Make the request
-                response = await client.test_iam_permissions(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest, dict]]):
-                The request object. Request message for ``TestIamPermissions`` method.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse:
-                Response message for TestIamPermissions method.
-        """
-        # Create or coerce a protobuf request object.
-         # - The request isn't a proto-plus wrapped type,
-        #   so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = iam_policy_pb2.TestIamPermissionsRequest(**request)
-        elif not request:
-            request = iam_policy_pb2.TestIamPermissionsRequest()
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.test_iam_permissions]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("resource", request.resource),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def list_content(self,
-            request: Optional[Union[content.ListContentRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> pagers.ListContentAsyncPager:
-        r"""List content.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_list_content():
-                # Create a client
-                client = dataplex_v1.ContentServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.ListContentRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_content(request=request)
-
-                # Handle the response
-                async for response in page_result:
-                    print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.ListContentRequest, dict]]):
-                The request object. List content request. Returns the
-                BASIC Content view.
-            parent (:class:`str`):
-                Required. The resource name of the parent lake:
-                projects/{project_id}/locations/{location_id}/lakes/{lake_id}
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.services.content_service.pagers.ListContentAsyncPager:
-                List content response.
-
-                Iterating over this object will yield
-                results and resolve additional pages
-                automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, content.ListContentRequest):
-            request = content.ListContentRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if parent is not None:
-            request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.list_content]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__aiter__` convenience method.
-        response = pagers.ListContentAsyncPager(
-            method=rpc,
-            request=request,
-            response=response,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def list_operations(
-        self,
-        request: Optional[operations_pb2.ListOperationsRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operations_pb2.ListOperationsResponse:
-        r"""Lists operations that match the specified filter in the request.
-
-        Args:
-            request (:class:`~.operations_pb2.ListOperationsRequest`):
-                The request object. Request message for
-                `ListOperations` method.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.operations_pb2.ListOperationsResponse:
-                Response message for ``ListOperations`` method.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.ListOperationsRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self.transport._wrapped_methods[self._client._transport.list_operations]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request, retry=retry, timeout=timeout, metadata=metadata,)
-
-        # Done; return the response.
-        return response
-
-    async def get_operation(
-        self,
-        request: Optional[operations_pb2.GetOperationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operations_pb2.Operation:
-        r"""Gets the latest state of a long-running operation.
-
-        Args:
-            request (:class:`~.operations_pb2.GetOperationRequest`):
-                The request object. Request message for
-                `GetOperation` method.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.operations_pb2.Operation:
-                An ``Operation`` object.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.GetOperationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self.transport._wrapped_methods[self._client._transport.get_operation]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request, retry=retry, timeout=timeout, metadata=metadata,)
-
-        # Done; return the response.
-        return response
-
-    async def delete_operation(
-        self,
-        request: Optional[operations_pb2.DeleteOperationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> None:
-        r"""Deletes a long-running operation.
-
-        This method indicates that the client is no longer interested
-        in the operation result. It does not cancel the operation.
-        If the server doesn't support this method, it returns
-        `google.rpc.Code.UNIMPLEMENTED`.
-
-        Args:
-            request (:class:`~.operations_pb2.DeleteOperationRequest`):
-                The request object. Request message for
-                `DeleteOperation` method.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            None
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.DeleteOperationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self.transport._wrapped_methods[self._client._transport.delete_operation]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        await rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
-
-    async def cancel_operation(
-        self,
-        request: Optional[operations_pb2.CancelOperationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> None:
-        r"""Starts asynchronous cancellation on a long-running operation.
-
-        The server makes a best effort to cancel the operation, but success
-        is not guaranteed.  If the server doesn't support this method, it returns
-        `google.rpc.Code.UNIMPLEMENTED`.
-
-        Args:
-            request (:class:`~.operations_pb2.CancelOperationRequest`):
-                The request object. Request message for
-                `CancelOperation` method.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            None
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.CancelOperationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self.transport._wrapped_methods[self._client._transport.cancel_operation]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        await rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
-
-    async def get_location(
-        self,
-        request: Optional[locations_pb2.GetLocationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> locations_pb2.Location:
-        r"""Gets information about a location.
-
-        Args:
-            request (:class:`~.location_pb2.GetLocationRequest`):
-                The request object. Request message for
-                `GetLocation` method.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
-                 if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.location_pb2.Location:
-                Location object.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = locations_pb2.GetLocationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self.transport._wrapped_methods[self._client._transport.get_location]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request, retry=retry, timeout=timeout, metadata=metadata,)
-
-        # Done; return the response.
-        return response
-
-    async def list_locations(
-        self,
-        request: Optional[locations_pb2.ListLocationsRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> locations_pb2.ListLocationsResponse:
-        r"""Lists information about the supported locations for this service.
-
-        Args:
-            request (:class:`~.location_pb2.ListLocationsRequest`):
-                The request object. Request message for
-                `ListLocations` method.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
-                 if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.location_pb2.ListLocationsResponse:
-                Response message for ``ListLocations`` method.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = locations_pb2.ListLocationsRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self.transport._wrapped_methods[self._client._transport.list_locations]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request, retry=retry, timeout=timeout, metadata=metadata,)
-
-        # Done; return the response.
-        return response
-
-    async def __aenter__(self) -> "ContentServiceAsyncClient":
-        return self
-
-    async def __aexit__(self, exc_type, exc, tb):
-        await self.transport.close()
-
-DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(gapic_version=package_version.__version__)
-
-
-__all__ = (
-    "ContentServiceAsyncClient",
-)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/content_service/client.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/content_service/client.py
deleted file mode 100644
index ff4cbd86c3cb..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/content_service/client.py
+++ /dev/null
@@ -1,1767 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from collections import OrderedDict
-import os
-import re
-from typing import Dict, Callable, Mapping, MutableMapping, MutableSequence, Optional, Sequence, Tuple, Type, Union, cast
-import warnings
-
-from google.cloud.dataplex_v1 import gapic_version as package_version
-
-from google.api_core import client_options as client_options_lib
-from google.api_core import exceptions as core_exceptions
-from google.api_core import gapic_v1
-from google.api_core import retry as retries
-from google.auth import credentials as ga_credentials             # type: ignore
-from google.auth.transport import mtls                            # type: ignore
-from google.auth.transport.grpc import SslCredentials             # type: ignore
-from google.auth.exceptions import MutualTLSChannelError          # type: ignore
-from google.oauth2 import service_account                         # type: ignore
-
-try:
-    OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None]
-except AttributeError:  # pragma: NO COVER
-    OptionalRetry = Union[retries.Retry, object, None]  # type: ignore
-
-from google.cloud.dataplex_v1.services.content_service import pagers
-from google.cloud.dataplex_v1.types import analyze
-from google.cloud.dataplex_v1.types import content
-from google.cloud.dataplex_v1.types import content as gcd_content
-from google.cloud.location import locations_pb2 # type: ignore
-from google.iam.v1 import iam_policy_pb2  # type: ignore
-from google.iam.v1 import policy_pb2  # type: ignore
-from google.longrunning import operations_pb2 # type: ignore
-from google.protobuf import field_mask_pb2  # type: ignore
-from google.protobuf import timestamp_pb2  # type: ignore
-from .transports.base import ContentServiceTransport, DEFAULT_CLIENT_INFO
-from .transports.grpc import ContentServiceGrpcTransport
-from .transports.grpc_asyncio import ContentServiceGrpcAsyncIOTransport
-
-
-class ContentServiceClientMeta(type):
-    """Metaclass for the ContentService client.
-
-    This provides class-level methods for building and retrieving
-    support objects (e.g. transport) without polluting the client instance
-    objects.
-    """
-    _transport_registry = OrderedDict()  # type: Dict[str, Type[ContentServiceTransport]]
-    _transport_registry["grpc"] = ContentServiceGrpcTransport
-    _transport_registry["grpc_asyncio"] = ContentServiceGrpcAsyncIOTransport
-
-    def get_transport_class(cls,
-            label: Optional[str] = None,
-        ) -> Type[ContentServiceTransport]:
-        """Returns an appropriate transport class.
-
-        Args:
-            label: The name of the desired transport. If none is
-                provided, then the first transport in the registry is used.
-
-        Returns:
-            The transport class to use.
-        """
-        # If a specific transport is requested, return that one.
-        if label:
-            return cls._transport_registry[label]
-
-        # No transport is requested; return the default (that is, the first one
-        # in the dictionary).
-        return next(iter(cls._transport_registry.values()))
-
-
-class ContentServiceClient(metaclass=ContentServiceClientMeta):
-    """ContentService manages Notebook and SQL Scripts for Dataplex."""
-
-    @staticmethod
-    def _get_default_mtls_endpoint(api_endpoint):
-        """Converts api endpoint to mTLS endpoint.
-
-        Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to
-        "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively.
-        Args:
-            api_endpoint (Optional[str]): the api endpoint to convert.
-        Returns:
-            str: converted mTLS api endpoint.
-        """
-        if not api_endpoint:
-            return api_endpoint
-
-        mtls_endpoint_re = re.compile(
-            r"(?P<name>[^.]+)(?P<mtls>\.mtls)?(?P<sandbox>\.sandbox)?(?P<googledomain>\.googleapis\.com)?"
-        )
-
-        m = mtls_endpoint_re.match(api_endpoint)
-        name, mtls, sandbox, googledomain = m.groups()
-        if mtls or not googledomain:
-            return api_endpoint
-
-        if sandbox:
-            return api_endpoint.replace(
-                "sandbox.googleapis.com", "mtls.sandbox.googleapis.com"
-            )
-
-        return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com")
-
-    # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead.
-    DEFAULT_ENDPOINT = "dataplex.googleapis.com"
-    DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__(  # type: ignore
-        DEFAULT_ENDPOINT
-    )
-
-    _DEFAULT_ENDPOINT_TEMPLATE = "dataplex.{UNIVERSE_DOMAIN}"
-    _DEFAULT_UNIVERSE = "googleapis.com"
-
-    @classmethod
-    def from_service_account_info(cls, info: dict, *args, **kwargs):
-        """Creates an instance of this client using the provided credentials
-            info.
-
-        Args:
-            info (dict): The service account private key info.
-            args: Additional arguments to pass to the constructor.
-            kwargs: Additional arguments to pass to the constructor.
-
-        Returns:
-            ContentServiceClient: The constructed client.
-        """
-        credentials = service_account.Credentials.from_service_account_info(info)
-        kwargs["credentials"] = credentials
-        return cls(*args, **kwargs)
-
-    @classmethod
-    def from_service_account_file(cls, filename: str, *args, **kwargs):
-        """Creates an instance of this client using the provided credentials
-            file.
-
-        Args:
-            filename (str): The path to the service account private key json
-                file.
-            args: Additional arguments to pass to the constructor.
-            kwargs: Additional arguments to pass to the constructor.
-
-        Returns:
-            ContentServiceClient: The constructed client.
-        """
-        credentials = service_account.Credentials.from_service_account_file(
-            filename)
-        kwargs["credentials"] = credentials
-        return cls(*args, **kwargs)
-
-    from_service_account_json = from_service_account_file
-
-    @property
-    def transport(self) -> ContentServiceTransport:
-        """Returns the transport used by the client instance.
-
-        Returns:
-            ContentServiceTransport: The transport used by the client
-                instance.
-        """
-        return self._transport
-
-    @staticmethod
-    def content_path(project: str,location: str,lake: str,content: str,) -> str:
-        """Returns a fully-qualified content string."""
-        return "projects/{project}/locations/{location}/lakes/{lake}/content/{content}".format(project=project, location=location, lake=lake, content=content, )
-
-    @staticmethod
-    def parse_content_path(path: str) -> Dict[str,str]:
-        """Parses a content path into its component segments."""
-        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/lakes/(?P<lake>.+?)/content/(?P<content>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def lake_path(project: str,location: str,lake: str,) -> str:
-        """Returns a fully-qualified lake string."""
-        return "projects/{project}/locations/{location}/lakes/{lake}".format(project=project, location=location, lake=lake, )
-
-    @staticmethod
-    def parse_lake_path(path: str) -> Dict[str,str]:
-        """Parses a lake path into its component segments."""
-        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/lakes/(?P<lake>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def common_billing_account_path(billing_account: str, ) -> str:
-        """Returns a fully-qualified billing_account string."""
-        return "billingAccounts/{billing_account}".format(billing_account=billing_account, )
-
-    @staticmethod
-    def parse_common_billing_account_path(path: str) -> Dict[str,str]:
-        """Parse a billing_account path into its component segments."""
-        m = re.match(r"^billingAccounts/(?P<billing_account>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def common_folder_path(folder: str, ) -> str:
-        """Returns a fully-qualified folder string."""
-        return "folders/{folder}".format(folder=folder, )
-
-    @staticmethod
-    def parse_common_folder_path(path: str) -> Dict[str,str]:
-        """Parse a folder path into its component segments."""
-        m = re.match(r"^folders/(?P<folder>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def common_organization_path(organization: str, ) -> str:
-        """Returns a fully-qualified organization string."""
-        return "organizations/{organization}".format(organization=organization, )
-
-    @staticmethod
-    def parse_common_organization_path(path: str) -> Dict[str,str]:
-        """Parse a organization path into its component segments."""
-        m = re.match(r"^organizations/(?P<organization>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def common_project_path(project: str, ) -> str:
-        """Returns a fully-qualified project string."""
-        return "projects/{project}".format(project=project, )
-
-    @staticmethod
-    def parse_common_project_path(path: str) -> Dict[str,str]:
-        """Parse a project path into its component segments."""
-        m = re.match(r"^projects/(?P<project>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def common_location_path(project: str, location: str, ) -> str:
-        """Returns a fully-qualified location string."""
-        return "projects/{project}/locations/{location}".format(project=project, location=location, )
-
-    @staticmethod
-    def parse_common_location_path(path: str) -> Dict[str,str]:
-        """Parse a location path into its component segments."""
-        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @classmethod
-    def get_mtls_endpoint_and_cert_source(cls, client_options: Optional[client_options_lib.ClientOptions] = None):
-        """Deprecated. Return the API endpoint and client cert source for mutual TLS.
-
-        The client cert source is determined in the following order:
-        (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the
-        client cert source is None.
-        (2) if `client_options.client_cert_source` is provided, use the provided one; if the
-        default client cert source exists, use the default one; otherwise the client cert
-        source is None.
-
-        The API endpoint is determined in the following order:
-        (1) if `client_options.api_endpoint` if provided, use the provided one.
-        (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the
-        default mTLS endpoint; if the environment variable is "never", use the default API
-        endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise
-        use the default API endpoint.
-
-        More details can be found at https://google.aip.dev/auth/4114.
-
-        Args:
-            client_options (google.api_core.client_options.ClientOptions): Custom options for the
-                client. Only the `api_endpoint` and `client_cert_source` properties may be used
-                in this method.
-
-        Returns:
-            Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the
-                client cert source to use.
-
-        Raises:
-            google.auth.exceptions.MutualTLSChannelError: If any errors happen.
-        """
-
-        warnings.warn("get_mtls_endpoint_and_cert_source is deprecated. Use the api_endpoint property instead.",
-            DeprecationWarning)
-        if client_options is None:
-            client_options = client_options_lib.ClientOptions()
-        use_client_cert = os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false")
-        use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto")
-        if use_client_cert not in ("true", "false"):
-            raise ValueError("Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`")
-        if use_mtls_endpoint not in ("auto", "never", "always"):
-            raise MutualTLSChannelError("Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`")
-
-        # Figure out the client cert source to use.
-        client_cert_source = None
-        if use_client_cert == "true":
-            if client_options.client_cert_source:
-                client_cert_source = client_options.client_cert_source
-            elif mtls.has_default_client_cert_source():
-                client_cert_source = mtls.default_client_cert_source()
-
-        # Figure out which api endpoint to use.
-        if client_options.api_endpoint is not None:
-            api_endpoint = client_options.api_endpoint
-        elif use_mtls_endpoint == "always" or (use_mtls_endpoint == "auto" and client_cert_source):
-            api_endpoint = cls.DEFAULT_MTLS_ENDPOINT
-        else:
-            api_endpoint = cls.DEFAULT_ENDPOINT
-
-        return api_endpoint, client_cert_source
-
-    @staticmethod
-    def _read_environment_variables():
-        """Returns the environment variables used by the client.
-
-        Returns:
-            Tuple[bool, str, str]: returns the GOOGLE_API_USE_CLIENT_CERTIFICATE,
-            GOOGLE_API_USE_MTLS_ENDPOINT, and GOOGLE_CLOUD_UNIVERSE_DOMAIN environment variables.
-
-        Raises:
-            ValueError: If GOOGLE_API_USE_CLIENT_CERTIFICATE is not
-                any of ["true", "false"].
-            google.auth.exceptions.MutualTLSChannelError: If GOOGLE_API_USE_MTLS_ENDPOINT
-                is not any of ["auto", "never", "always"].
-        """
-        use_client_cert = os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false").lower()
-        use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto").lower()
-        universe_domain_env = os.getenv("GOOGLE_CLOUD_UNIVERSE_DOMAIN")
-        if use_client_cert not in ("true", "false"):
-            raise ValueError("Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`")
-        if use_mtls_endpoint not in ("auto", "never", "always"):
-            raise MutualTLSChannelError("Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`")
-        return use_client_cert == "true", use_mtls_endpoint, universe_domain_env
-
-    @staticmethod
-    def _get_client_cert_source(provided_cert_source, use_cert_flag):
-        """Return the client cert source to be used by the client.
-
-        Args:
-            provided_cert_source (bytes): The client certificate source provided.
-            use_cert_flag (bool): A flag indicating whether to use the client certificate.
-
-        Returns:
-            bytes or None: The client cert source to be used by the client.
-        """
-        client_cert_source = None
-        if use_cert_flag:
-            if provided_cert_source:
-                client_cert_source = provided_cert_source
-            elif mtls.has_default_client_cert_source():
-                client_cert_source = mtls.default_client_cert_source()
-        return client_cert_source
-
-    @staticmethod
-    def _get_api_endpoint(api_override, client_cert_source, universe_domain, use_mtls_endpoint):
-        """Return the API endpoint used by the client.
-
-        Args:
-            api_override (str): The API endpoint override. If specified, this is always
-                the return value of this function and the other arguments are not used.
-            client_cert_source (bytes): The client certificate source used by the client.
-            universe_domain (str): The universe domain used by the client.
-            use_mtls_endpoint (str): How to use the mTLS endpoint, which depends also on the other parameters.
-                Possible values are "always", "auto", or "never".
-
-        Returns:
-            str: The API endpoint to be used by the client.
-        """
-        if api_override is not None:
-            api_endpoint = api_override
-        elif use_mtls_endpoint == "always" or (use_mtls_endpoint == "auto" and client_cert_source):
-            _default_universe = ContentServiceClient._DEFAULT_UNIVERSE
-            if universe_domain != _default_universe:
-                raise MutualTLSChannelError(f"mTLS is not supported in any universe other than {_default_universe}.")
-            api_endpoint = ContentServiceClient.DEFAULT_MTLS_ENDPOINT
-        else:
-            api_endpoint = ContentServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=universe_domain)
-        return api_endpoint
-
-    @staticmethod
-    def _get_universe_domain(client_universe_domain: Optional[str], universe_domain_env: Optional[str]) -> str:
-        """Return the universe domain used by the client.
-
-        Args:
-            client_universe_domain (Optional[str]): The universe domain configured via the client options.
-            universe_domain_env (Optional[str]): The universe domain configured via the "GOOGLE_CLOUD_UNIVERSE_DOMAIN" environment variable.
-
-        Returns:
-            str: The universe domain to be used by the client.
-
-        Raises:
-            ValueError: If the universe domain is an empty string.
-        """
-        universe_domain = ContentServiceClient._DEFAULT_UNIVERSE
-        if client_universe_domain is not None:
-            universe_domain = client_universe_domain
-        elif universe_domain_env is not None:
-            universe_domain = universe_domain_env
-        if len(universe_domain.strip()) == 0:
-            raise ValueError("Universe Domain cannot be an empty string.")
-        return universe_domain
-
-    def _validate_universe_domain(self):
-        """Validates client's and credentials' universe domains are consistent.
-
-        Returns:
-            bool: True iff the configured universe domain is valid.
-
-        Raises:
-            ValueError: If the configured universe domain is not valid.
-        """
-
-        # NOTE (b/349488459): universe validation is disabled until further notice.
-        return True
-
-    @property
-    def api_endpoint(self):
-        """Return the API endpoint used by the client instance.
-
-        Returns:
-            str: The API endpoint used by the client instance.
-        """
-        return self._api_endpoint
-
-    @property
-    def universe_domain(self) -> str:
-        """Return the universe domain used by the client instance.
-
-        Returns:
-            str: The universe domain used by the client instance.
-        """
-        return self._universe_domain
-
-    def __init__(self, *,
-            credentials: Optional[ga_credentials.Credentials] = None,
-            transport: Optional[Union[str, ContentServiceTransport, Callable[..., ContentServiceTransport]]] = None,
-            client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None,
-            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-            ) -> None:
-        """Instantiates the content service client.
-
-        Args:
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-            transport (Optional[Union[str,ContentServiceTransport,Callable[..., ContentServiceTransport]]]):
-                The transport to use, or a Callable that constructs and returns a new transport.
-                If a Callable is given, it will be called with the same set of initialization
-                arguments as used in the ContentServiceTransport constructor.
-                If set to None, a transport is chosen automatically.
-            client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]):
-                Custom options for the client.
-
-                1. The ``api_endpoint`` property can be used to override the
-                default endpoint provided by the client when ``transport`` is
-                not explicitly provided. Only if this property is not set and
-                ``transport`` was not explicitly provided, the endpoint is
-                determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment
-                variable, which have one of the following values:
-                "always" (always use the default mTLS endpoint), "never" (always
-                use the default regular endpoint) and "auto" (auto-switch to the
-                default mTLS endpoint if client certificate is present; this is
-                the default value).
-
-                2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable
-                is "true", then the ``client_cert_source`` property can be used
-                to provide a client certificate for mTLS transport. If
-                not provided, the default SSL client certificate will be used if
-                present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not
-                set, no client certificate will be used.
-
-                3. The ``universe_domain`` property can be used to override the
-                default "googleapis.com" universe. Note that the ``api_endpoint``
-                property still takes precedence; and ``universe_domain`` is
-                currently not supported for mTLS.
-
-            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
-                The client info used to send a user-agent string along with
-                API requests. If ``None``, then default info will be used.
-                Generally, you only need to set this if you're developing
-                your own client library.
-
-        Raises:
-            google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport
-                creation failed for any reason.
-        """
-        self._client_options = client_options
-        if isinstance(self._client_options, dict):
-            self._client_options = client_options_lib.from_dict(self._client_options)
-        if self._client_options is None:
-            self._client_options = client_options_lib.ClientOptions()
-        self._client_options = cast(client_options_lib.ClientOptions, self._client_options)
-
-        universe_domain_opt = getattr(self._client_options, 'universe_domain', None)
-
-        self._use_client_cert, self._use_mtls_endpoint, self._universe_domain_env = ContentServiceClient._read_environment_variables()
-        self._client_cert_source = ContentServiceClient._get_client_cert_source(self._client_options.client_cert_source, self._use_client_cert)
-        self._universe_domain = ContentServiceClient._get_universe_domain(universe_domain_opt, self._universe_domain_env)
-        self._api_endpoint = None # updated below, depending on `transport`
-
-        # Initialize the universe domain validation.
-        self._is_universe_domain_valid = False
-
-        api_key_value = getattr(self._client_options, "api_key", None)
-        if api_key_value and credentials:
-            raise ValueError("client_options.api_key and credentials are mutually exclusive")
-
-        # Save or instantiate the transport.
-        # Ordinarily, we provide the transport, but allowing a custom transport
-        # instance provides an extensibility point for unusual situations.
-        transport_provided = isinstance(transport, ContentServiceTransport)
-        if transport_provided:
-            # transport is a ContentServiceTransport instance.
-            if credentials or self._client_options.credentials_file or api_key_value:
-                raise ValueError("When providing a transport instance, "
-                                 "provide its credentials directly.")
-            if self._client_options.scopes:
-                raise ValueError(
-                    "When providing a transport instance, provide its scopes "
-                    "directly."
-                )
-            self._transport = cast(ContentServiceTransport, transport)
-            self._api_endpoint = self._transport.host
-
-        self._api_endpoint = (self._api_endpoint or
-            ContentServiceClient._get_api_endpoint(
-                self._client_options.api_endpoint,
-                self._client_cert_source,
-                self._universe_domain,
-                self._use_mtls_endpoint))
-
-        if not transport_provided:
-            import google.auth._default  # type: ignore
-
-            if api_key_value and hasattr(google.auth._default, "get_api_key_credentials"):
-                credentials = google.auth._default.get_api_key_credentials(api_key_value)
-
-            transport_init: Union[Type[ContentServiceTransport], Callable[..., ContentServiceTransport]] = (
-                ContentServiceClient.get_transport_class(transport)
-                if isinstance(transport, str) or transport is None
-                else cast(Callable[..., ContentServiceTransport], transport)
-            )
-            # initialize with the provided callable or the passed in class
-            self._transport = transport_init(
-                credentials=credentials,
-                credentials_file=self._client_options.credentials_file,
-                host=self._api_endpoint,
-                scopes=self._client_options.scopes,
-                client_cert_source_for_mtls=self._client_cert_source,
-                quota_project_id=self._client_options.quota_project_id,
-                client_info=client_info,
-                always_use_jwt_access=True,
-                api_audience=self._client_options.api_audience,
-            )
-
-    def create_content(self,
-            request: Optional[Union[gcd_content.CreateContentRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            content: Optional[analyze.Content] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> analyze.Content:
-        r"""Create a content.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_create_content():
-                # Create a client
-                client = dataplex_v1.ContentServiceClient()
-
-                # Initialize request argument(s)
-                content = dataplex_v1.Content()
-                content.data_text = "data_text_value"
-                content.sql_script.engine = "SPARK"
-                content.path = "path_value"
-
-                request = dataplex_v1.CreateContentRequest(
-                    parent="parent_value",
-                    content=content,
-                )
-
-                # Make the request
-                response = client.create_content(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.CreateContentRequest, dict]):
-                The request object. Create content request.
-            parent (str):
-                Required. The resource name of the parent lake:
-                projects/{project_id}/locations/{location_id}/lakes/{lake_id}
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            content (google.cloud.dataplex_v1.types.Content):
-                Required. Content resource.
-                This corresponds to the ``content`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.Content:
-                Content represents a user-visible
-                notebook or a sql script
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent, content])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, gcd_content.CreateContentRequest):
-            request = gcd_content.CreateContentRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if parent is not None:
-                request.parent = parent
-            if content is not None:
-                request.content = content
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.create_content]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def update_content(self,
-            request: Optional[Union[gcd_content.UpdateContentRequest, dict]] = None,
-            *,
-            content: Optional[analyze.Content] = None,
-            update_mask: Optional[field_mask_pb2.FieldMask] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> analyze.Content:
-        r"""Update a content. Only supports full resource update.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_update_content():
-                # Create a client
-                client = dataplex_v1.ContentServiceClient()
-
-                # Initialize request argument(s)
-                content = dataplex_v1.Content()
-                content.data_text = "data_text_value"
-                content.sql_script.engine = "SPARK"
-                content.path = "path_value"
-
-                request = dataplex_v1.UpdateContentRequest(
-                    content=content,
-                )
-
-                # Make the request
-                response = client.update_content(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.UpdateContentRequest, dict]):
-                The request object. Update content request.
-            content (google.cloud.dataplex_v1.types.Content):
-                Required. Update description. Only fields specified in
-                ``update_mask`` are updated.
-
-                This corresponds to the ``content`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            update_mask (google.protobuf.field_mask_pb2.FieldMask):
-                Required. Mask of fields to update.
-                This corresponds to the ``update_mask`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.Content:
-                Content represents a user-visible
-                notebook or a sql script
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([content, update_mask])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, gcd_content.UpdateContentRequest):
-            request = gcd_content.UpdateContentRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if content is not None:
-                request.content = content
-            if update_mask is not None:
-                request.update_mask = update_mask
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.update_content]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("content.name", request.content.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def delete_content(self,
-            request: Optional[Union[content.DeleteContentRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> None:
-        r"""Delete a content.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_delete_content():
-                # Create a client
-                client = dataplex_v1.ContentServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.DeleteContentRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                client.delete_content(request=request)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.DeleteContentRequest, dict]):
-                The request object. Delete content request.
-            name (str):
-                Required. The resource name of the content:
-                projects/{project_id}/locations/{location_id}/lakes/{lake_id}/content/{content_id}
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, content.DeleteContentRequest):
-            request = content.DeleteContentRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.delete_content]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-    def get_content(self,
-            request: Optional[Union[content.GetContentRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> analyze.Content:
-        r"""Get a content resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_get_content():
-                # Create a client
-                client = dataplex_v1.ContentServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.GetContentRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = client.get_content(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.GetContentRequest, dict]):
-                The request object. Get content request.
-            name (str):
-                Required. The resource name of the content:
-                projects/{project_id}/locations/{location_id}/lakes/{lake_id}/content/{content_id}
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.Content:
-                Content represents a user-visible
-                notebook or a sql script
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, content.GetContentRequest):
-            request = content.GetContentRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.get_content]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def get_iam_policy(self,
-            request: Optional[Union[iam_policy_pb2.GetIamPolicyRequest, dict]] = None,
-            *,
-            resource: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> policy_pb2.Policy:
-        r"""Gets the access control policy for a contentitem resource. A
-        ``NOT_FOUND`` error is returned if the resource does not exist.
-        An empty policy is returned if the resource exists but does not
-        have a policy set on it.
-
-        Caller must have Google IAM ``dataplex.content.getIamPolicy``
-        permission on the resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-            from google.iam.v1 import iam_policy_pb2  # type: ignore
-
-            def sample_get_iam_policy():
-                # Create a client
-                client = dataplex_v1.ContentServiceClient()
-
-                # Initialize request argument(s)
-                request = iam_policy_pb2.GetIamPolicyRequest(
-                    resource="resource_value",
-                )
-
-                # Make the request
-                response = client.get_iam_policy(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest, dict]):
-                The request object. Request message for ``GetIamPolicy`` method.
-            resource (str):
-                REQUIRED: The resource for which the
-                policy is being requested. See the
-                operation documentation for the
-                appropriate value for this field.
-
-                This corresponds to the ``resource`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.iam.v1.policy_pb2.Policy:
-                An Identity and Access Management (IAM) policy, which specifies access
-                   controls for Google Cloud resources.
-
-                   A Policy is a collection of bindings. A binding binds
-                   one or more members, or principals, to a single role.
-                   Principals can be user accounts, service accounts,
-                   Google groups, and domains (such as G Suite). A role
-                   is a named list of permissions; each role can be an
-                   IAM predefined role or a user-created custom role.
-
-                   For some types of Google Cloud resources, a binding
-                   can also specify a condition, which is a logical
-                   expression that allows access to a resource only if
-                   the expression evaluates to true. A condition can add
-                   constraints based on attributes of the request, the
-                   resource, or both. To learn which resources support
-                   conditions in their IAM policies, see the [IAM
-                   documentation](\ https://cloud.google.com/iam/help/conditions/resource-policies).
-
-                   **JSON example:**
-
-                   :literal:`\`     {       "bindings": [         {           "role": "roles/resourcemanager.organizationAdmin",           "members": [             "user:mike@example.com",             "group:admins@example.com",             "domain:google.com",             "serviceAccount:my-project-id@appspot.gserviceaccount.com"           ]         },         {           "role": "roles/resourcemanager.organizationViewer",           "members": [             "user:eve@example.com"           ],           "condition": {             "title": "expirable access",             "description": "Does not grant access after Sep 2020",             "expression": "request.time <             timestamp('2020-10-01T00:00:00.000Z')",           }         }       ],       "etag": "BwWWja0YfJA=",       "version": 3     }`\ \`
-
-                   **YAML example:**
-
-                   :literal:`\`     bindings:     - members:       - user:mike@example.com       - group:admins@example.com       - domain:google.com       - serviceAccount:my-project-id@appspot.gserviceaccount.com       role: roles/resourcemanager.organizationAdmin     - members:       - user:eve@example.com       role: roles/resourcemanager.organizationViewer       condition:         title: expirable access         description: Does not grant access after Sep 2020         expression: request.time < timestamp('2020-10-01T00:00:00.000Z')     etag: BwWWja0YfJA=     version: 3`\ \`
-
-                   For a description of IAM and its features, see the
-                   [IAM
-                   documentation](\ https://cloud.google.com/iam/docs/).
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([resource])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        if isinstance(request, dict):
-            # - The request isn't a proto-plus wrapped type,
-            #   so it must be constructed via keyword expansion.
-            request = iam_policy_pb2.GetIamPolicyRequest(**request)
-        elif not request:
-            # Null request, just make one.
-            request = iam_policy_pb2.GetIamPolicyRequest()
-            if resource is not None:
-                request.resource = resource
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.get_iam_policy]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("resource", request.resource),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def set_iam_policy(self,
-            request: Optional[Union[iam_policy_pb2.SetIamPolicyRequest, dict]] = None,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> policy_pb2.Policy:
-        r"""Sets the access control policy on the specified contentitem
-        resource. Replaces any existing policy.
-
-        Caller must have Google IAM ``dataplex.content.setIamPolicy``
-        permission on the resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-            from google.iam.v1 import iam_policy_pb2  # type: ignore
-
-            def sample_set_iam_policy():
-                # Create a client
-                client = dataplex_v1.ContentServiceClient()
-
-                # Initialize request argument(s)
-                request = iam_policy_pb2.SetIamPolicyRequest(
-                    resource="resource_value",
-                )
-
-                # Make the request
-                response = client.set_iam_policy(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest, dict]):
-                The request object. Request message for ``SetIamPolicy`` method.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.iam.v1.policy_pb2.Policy:
-                An Identity and Access Management (IAM) policy, which specifies access
-                   controls for Google Cloud resources.
-
-                   A Policy is a collection of bindings. A binding binds
-                   one or more members, or principals, to a single role.
-                   Principals can be user accounts, service accounts,
-                   Google groups, and domains (such as G Suite). A role
-                   is a named list of permissions; each role can be an
-                   IAM predefined role or a user-created custom role.
-
-                   For some types of Google Cloud resources, a binding
-                   can also specify a condition, which is a logical
-                   expression that allows access to a resource only if
-                   the expression evaluates to true. A condition can add
-                   constraints based on attributes of the request, the
-                   resource, or both. To learn which resources support
-                   conditions in their IAM policies, see the [IAM
-                   documentation](\ https://cloud.google.com/iam/help/conditions/resource-policies).
-
-                   **JSON example:**
-
-                   :literal:`\`     {       "bindings": [         {           "role": "roles/resourcemanager.organizationAdmin",           "members": [             "user:mike@example.com",             "group:admins@example.com",             "domain:google.com",             "serviceAccount:my-project-id@appspot.gserviceaccount.com"           ]         },         {           "role": "roles/resourcemanager.organizationViewer",           "members": [             "user:eve@example.com"           ],           "condition": {             "title": "expirable access",             "description": "Does not grant access after Sep 2020",             "expression": "request.time <             timestamp('2020-10-01T00:00:00.000Z')",           }         }       ],       "etag": "BwWWja0YfJA=",       "version": 3     }`\ \`
-
-                   **YAML example:**
-
-                   :literal:`\`     bindings:     - members:       - user:mike@example.com       - group:admins@example.com       - domain:google.com       - serviceAccount:my-project-id@appspot.gserviceaccount.com       role: roles/resourcemanager.organizationAdmin     - members:       - user:eve@example.com       role: roles/resourcemanager.organizationViewer       condition:         title: expirable access         description: Does not grant access after Sep 2020         expression: request.time < timestamp('2020-10-01T00:00:00.000Z')     etag: BwWWja0YfJA=     version: 3`\ \`
-
-                   For a description of IAM and its features, see the
-                   [IAM
-                   documentation](\ https://cloud.google.com/iam/docs/).
-
-        """
-        # Create or coerce a protobuf request object.
-        if isinstance(request, dict):
-            # - The request isn't a proto-plus wrapped type,
-            #   so it must be constructed via keyword expansion.
-            request = iam_policy_pb2.SetIamPolicyRequest(**request)
-        elif not request:
-            # Null request, just make one.
-            request = iam_policy_pb2.SetIamPolicyRequest()
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.set_iam_policy]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("resource", request.resource),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def test_iam_permissions(self,
-            request: Optional[Union[iam_policy_pb2.TestIamPermissionsRequest, dict]] = None,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> iam_policy_pb2.TestIamPermissionsResponse:
-        r"""Returns the caller's permissions on a resource. If the resource
-        does not exist, an empty set of permissions is returned (a
-        ``NOT_FOUND`` error is not returned).
-
-        A caller is not required to have Google IAM permission to make
-        this request.
-
-        Note: This operation is designed to be used for building
-        permission-aware UIs and command-line tools, not for
-        authorization checking. This operation may "fail open" without
-        warning.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-            from google.iam.v1 import iam_policy_pb2  # type: ignore
-
-            def sample_test_iam_permissions():
-                # Create a client
-                client = dataplex_v1.ContentServiceClient()
-
-                # Initialize request argument(s)
-                request = iam_policy_pb2.TestIamPermissionsRequest(
-                    resource="resource_value",
-                    permissions=['permissions_value1', 'permissions_value2'],
-                )
-
-                # Make the request
-                response = client.test_iam_permissions(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest, dict]):
-                The request object. Request message for ``TestIamPermissions`` method.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse:
-                Response message for TestIamPermissions method.
-        """
-        # Create or coerce a protobuf request object.
-        if isinstance(request, dict):
-            # - The request isn't a proto-plus wrapped type,
-            #   so it must be constructed via keyword expansion.
-            request = iam_policy_pb2.TestIamPermissionsRequest(**request)
-        elif not request:
-            # Null request, just make one.
-            request = iam_policy_pb2.TestIamPermissionsRequest()
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.test_iam_permissions]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("resource", request.resource),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def list_content(self,
-            request: Optional[Union[content.ListContentRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> pagers.ListContentPager:
-        r"""List content.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_list_content():
-                # Create a client
-                client = dataplex_v1.ContentServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.ListContentRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_content(request=request)
-
-                # Handle the response
-                for response in page_result:
-                    print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.ListContentRequest, dict]):
-                The request object. List content request. Returns the
-                BASIC Content view.
-            parent (str):
-                Required. The resource name of the parent lake:
-                projects/{project_id}/locations/{location_id}/lakes/{lake_id}
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.services.content_service.pagers.ListContentPager:
-                List content response.
-
-                Iterating over this object will yield
-                results and resolve additional pages
-                automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, content.ListContentRequest):
-            request = content.ListContentRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if parent is not None:
-                request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.list_content]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__iter__` convenience method.
-        response = pagers.ListContentPager(
-            method=rpc,
-            request=request,
-            response=response,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def __enter__(self) -> "ContentServiceClient":
-        return self
-
-    def __exit__(self, type, value, traceback):
-        """Releases underlying transport's resources.
-
-        .. warning::
-            ONLY use as a context manager if the transport is NOT shared
-            with other clients! Exiting the with block will CLOSE the transport
-            and may cause errors in other clients!
-        """
-        self.transport.close()
-
-    def list_operations(
-        self,
-        request: Optional[operations_pb2.ListOperationsRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operations_pb2.ListOperationsResponse:
-        r"""Lists operations that match the specified filter in the request.
-
-        Args:
-            request (:class:`~.operations_pb2.ListOperationsRequest`):
-                The request object. Request message for
-                `ListOperations` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.operations_pb2.ListOperationsResponse:
-                Response message for ``ListOperations`` method.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.ListOperationsRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.list_operations]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request, retry=retry, timeout=timeout, metadata=metadata,)
-
-        # Done; return the response.
-        return response
-
-    def get_operation(
-        self,
-        request: Optional[operations_pb2.GetOperationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operations_pb2.Operation:
-        r"""Gets the latest state of a long-running operation.
-
-        Args:
-            request (:class:`~.operations_pb2.GetOperationRequest`):
-                The request object. Request message for
-                `GetOperation` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.operations_pb2.Operation:
-                An ``Operation`` object.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.GetOperationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.get_operation]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request, retry=retry, timeout=timeout, metadata=metadata,)
-
-        # Done; return the response.
-        return response
-
-    def delete_operation(
-        self,
-        request: Optional[operations_pb2.DeleteOperationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> None:
-        r"""Deletes a long-running operation.
-
-        This method indicates that the client is no longer interested
-        in the operation result. It does not cancel the operation.
-        If the server doesn't support this method, it returns
-        `google.rpc.Code.UNIMPLEMENTED`.
-
-        Args:
-            request (:class:`~.operations_pb2.DeleteOperationRequest`):
-                The request object. Request message for
-                `DeleteOperation` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            None
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.DeleteOperationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.delete_operation]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
-
-    def cancel_operation(
-        self,
-        request: Optional[operations_pb2.CancelOperationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> None:
-        r"""Starts asynchronous cancellation on a long-running operation.
-
-        The server makes a best effort to cancel the operation, but success
-        is not guaranteed.  If the server doesn't support this method, it returns
-        `google.rpc.Code.UNIMPLEMENTED`.
-
-        Args:
-            request (:class:`~.operations_pb2.CancelOperationRequest`):
-                The request object. Request message for
-                `CancelOperation` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            None
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.CancelOperationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.cancel_operation]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
-
-    def get_location(
-        self,
-        request: Optional[locations_pb2.GetLocationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> locations_pb2.Location:
-        r"""Gets information about a location.
-
-        Args:
-            request (:class:`~.location_pb2.GetLocationRequest`):
-                The request object. Request message for
-                `GetLocation` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                 if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.location_pb2.Location:
-                Location object.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = locations_pb2.GetLocationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.get_location]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request, retry=retry, timeout=timeout, metadata=metadata,)
-
-        # Done; return the response.
-        return response
-
-    def list_locations(
-        self,
-        request: Optional[locations_pb2.ListLocationsRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> locations_pb2.ListLocationsResponse:
-        r"""Lists information about the supported locations for this service.
-
-        Args:
-            request (:class:`~.location_pb2.ListLocationsRequest`):
-                The request object. Request message for
-                `ListLocations` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                 if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.location_pb2.ListLocationsResponse:
-                Response message for ``ListLocations`` method.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = locations_pb2.ListLocationsRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.list_locations]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request, retry=retry, timeout=timeout, metadata=metadata,)
-
-        # Done; return the response.
-        return response
-
-
-DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(gapic_version=package_version.__version__)
-
-
-__all__ = (
-    "ContentServiceClient",
-)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/content_service/pagers.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/content_service/pagers.py
deleted file mode 100644
index 3659ec82f6fd..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/content_service/pagers.py
+++ /dev/null
@@ -1,163 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from google.api_core import gapic_v1
-from google.api_core import retry as retries
-from google.api_core import retry_async as retries_async
-from typing import Any, AsyncIterator, Awaitable, Callable, Sequence, Tuple, Optional, Iterator, Union
-try:
-    OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None]
-    OptionalAsyncRetry = Union[retries_async.AsyncRetry, gapic_v1.method._MethodDefault, None]
-except AttributeError:  # pragma: NO COVER
-    OptionalRetry = Union[retries.Retry, object, None]  # type: ignore
-    OptionalAsyncRetry = Union[retries_async.AsyncRetry, object, None]  # type: ignore
-
-from google.cloud.dataplex_v1.types import analyze
-from google.cloud.dataplex_v1.types import content
-
-
-class ListContentPager:
-    """A pager for iterating through ``list_content`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.dataplex_v1.types.ListContentResponse` object, and
-    provides an ``__iter__`` method to iterate through its
-    ``content`` field.
-
-    If there are more pages, the ``__iter__`` method will make additional
-    ``ListContent`` requests and continue to iterate
-    through the ``content`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.dataplex_v1.types.ListContentResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-    def __init__(self,
-            method: Callable[..., content.ListContentResponse],
-            request: content.ListContentRequest,
-            response: content.ListContentResponse,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = ()):
-        """Instantiate the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.dataplex_v1.types.ListContentRequest):
-                The initial request object.
-            response (google.cloud.dataplex_v1.types.ListContentResponse):
-                The initial response object.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = content.ListContentRequest(request)
-        self._response = response
-        self._retry = retry
-        self._timeout = timeout
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    def pages(self) -> Iterator[content.ListContentResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
-            yield self._response
-
-    def __iter__(self) -> Iterator[analyze.Content]:
-        for page in self.pages:
-            yield from page.content
-
-    def __repr__(self) -> str:
-        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
-
-
-class ListContentAsyncPager:
-    """A pager for iterating through ``list_content`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.dataplex_v1.types.ListContentResponse` object, and
-    provides an ``__aiter__`` method to iterate through its
-    ``content`` field.
-
-    If there are more pages, the ``__aiter__`` method will make additional
-    ``ListContent`` requests and continue to iterate
-    through the ``content`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.dataplex_v1.types.ListContentResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-    def __init__(self,
-            method: Callable[..., Awaitable[content.ListContentResponse]],
-            request: content.ListContentRequest,
-            response: content.ListContentResponse,
-            *,
-            retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = ()):
-        """Instantiates the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.dataplex_v1.types.ListContentRequest):
-                The initial request object.
-            response (google.cloud.dataplex_v1.types.ListContentResponse):
-                The initial response object.
-            retry (google.api_core.retry.AsyncRetry): Designation of what errors,
-                if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = content.ListContentRequest(request)
-        self._response = response
-        self._retry = retry
-        self._timeout = timeout
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    async def pages(self) -> AsyncIterator[content.ListContentResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = await self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
-            yield self._response
-    def __aiter__(self) -> AsyncIterator[analyze.Content]:
-        async def async_generator():
-            async for page in self.pages:
-                for response in page.content:
-                    yield response
-
-        return async_generator()
-
-    def __repr__(self) -> str:
-        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/content_service/transports/README.rst b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/content_service/transports/README.rst
deleted file mode 100644
index f737919bf8e5..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/content_service/transports/README.rst
+++ /dev/null
@@ -1,9 +0,0 @@
-
-transport inheritance structure
-_______________________________
-
-`ContentServiceTransport` is the ABC for all transports.
-- public child `ContentServiceGrpcTransport` for sync gRPC transport (defined in `grpc.py`).
-- public child `ContentServiceGrpcAsyncIOTransport` for async gRPC transport (defined in `grpc_asyncio.py`).
-- private child `_BaseContentServiceRestTransport` for base REST transport with inner classes `_BaseMETHOD` (defined in `rest_base.py`).
-- public child `ContentServiceRestTransport` for sync REST transport with inner classes `METHOD` derived from the parent's corresponding `_BaseMETHOD` classes (defined in `rest.py`).
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/content_service/transports/__init__.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/content_service/transports/__init__.py
deleted file mode 100644
index 700cca6c0dfc..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/content_service/transports/__init__.py
+++ /dev/null
@@ -1,33 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from collections import OrderedDict
-from typing import Dict, Type
-
-from .base import ContentServiceTransport
-from .grpc import ContentServiceGrpcTransport
-from .grpc_asyncio import ContentServiceGrpcAsyncIOTransport
-
-
-# Compile a registry of transports.
-_transport_registry = OrderedDict()  # type: Dict[str, Type[ContentServiceTransport]]
-_transport_registry['grpc'] = ContentServiceGrpcTransport
-_transport_registry['grpc_asyncio'] = ContentServiceGrpcAsyncIOTransport
-
-__all__ = (
-    'ContentServiceTransport',
-    'ContentServiceGrpcTransport',
-    'ContentServiceGrpcAsyncIOTransport',
-)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/content_service/transports/base.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/content_service/transports/base.py
deleted file mode 100644
index 7d77d96adb47..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/content_service/transports/base.py
+++ /dev/null
@@ -1,377 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-import abc
-from typing import Awaitable, Callable, Dict, Optional, Sequence, Union
-
-from google.cloud.dataplex_v1 import gapic_version as package_version
-
-import google.auth  # type: ignore
-import google.api_core
-from google.api_core import exceptions as core_exceptions
-from google.api_core import gapic_v1
-from google.api_core import retry as retries
-from google.auth import credentials as ga_credentials  # type: ignore
-from google.oauth2 import service_account # type: ignore
-
-from google.cloud.dataplex_v1.types import analyze
-from google.cloud.dataplex_v1.types import content
-from google.cloud.dataplex_v1.types import content as gcd_content
-from google.cloud.location import locations_pb2 # type: ignore
-from google.iam.v1 import iam_policy_pb2  # type: ignore
-from google.iam.v1 import policy_pb2  # type: ignore
-from google.longrunning import operations_pb2 # type: ignore
-from google.protobuf import empty_pb2  # type: ignore
-
-DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(gapic_version=package_version.__version__)
-
-
-class ContentServiceTransport(abc.ABC):
-    """Abstract transport class for ContentService."""
-
-    AUTH_SCOPES = (
-        'https://www.googleapis.com/auth/cloud-platform',
-    )
-
-    DEFAULT_HOST: str = 'dataplex.googleapis.com'
-    def __init__(
-            self, *,
-            host: str = DEFAULT_HOST,
-            credentials: Optional[ga_credentials.Credentials] = None,
-            credentials_file: Optional[str] = None,
-            scopes: Optional[Sequence[str]] = None,
-            quota_project_id: Optional[str] = None,
-            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-            always_use_jwt_access: Optional[bool] = False,
-            api_audience: Optional[str] = None,
-            **kwargs,
-            ) -> None:
-        """Instantiate the transport.
-
-        Args:
-            host (Optional[str]):
-                 The hostname to connect to (default: 'dataplex.googleapis.com').
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-                This argument is mutually exclusive with credentials.
-            scopes (Optional[Sequence[str]]): A list of scopes.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
-                The client info used to send a user-agent string along with
-                API requests. If ``None``, then default info will be used.
-                Generally, you only need to set this if you're developing
-                your own client library.
-            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
-                be used for service account credentials.
-        """
-
-        scopes_kwargs = {"scopes": scopes, "default_scopes": self.AUTH_SCOPES}
-
-        # Save the scopes.
-        self._scopes = scopes
-        if not hasattr(self, "_ignore_credentials"):
-            self._ignore_credentials: bool = False
-
-        # If no credentials are provided, then determine the appropriate
-        # defaults.
-        if credentials and credentials_file:
-            raise core_exceptions.DuplicateCredentialArgs("'credentials_file' and 'credentials' are mutually exclusive")
-
-        if credentials_file is not None:
-            credentials, _ = google.auth.load_credentials_from_file(
-                                credentials_file,
-                                **scopes_kwargs,
-                                quota_project_id=quota_project_id
-                            )
-        elif credentials is None and not self._ignore_credentials:
-            credentials, _ = google.auth.default(**scopes_kwargs, quota_project_id=quota_project_id)
-            # Don't apply audience if the credentials file passed from user.
-            if hasattr(credentials, "with_gdch_audience"):
-                credentials = credentials.with_gdch_audience(api_audience if api_audience else host)
-
-        # If the credentials are service account credentials, then always try to use self signed JWT.
-        if always_use_jwt_access and isinstance(credentials, service_account.Credentials) and hasattr(service_account.Credentials, "with_always_use_jwt_access"):
-            credentials = credentials.with_always_use_jwt_access(True)
-
-        # Save the credentials.
-        self._credentials = credentials
-
-        # Save the hostname. Default to port 443 (HTTPS) if none is specified.
-        if ':' not in host:
-            host += ':443'
-        self._host = host
-
-    @property
-    def host(self):
-        return self._host
-
-    def _prep_wrapped_messages(self, client_info):
-        # Precompute the wrapped methods.
-        self._wrapped_methods = {
-            self.create_content: gapic_v1.method.wrap_method(
-                self.create_content,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.update_content: gapic_v1.method.wrap_method(
-                self.update_content,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.delete_content: gapic_v1.method.wrap_method(
-                self.delete_content,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.get_content: gapic_v1.method.wrap_method(
-                self.get_content,
-                default_retry=retries.Retry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.get_iam_policy: gapic_v1.method.wrap_method(
-                self.get_iam_policy,
-                default_retry=retries.Retry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.set_iam_policy: gapic_v1.method.wrap_method(
-                self.set_iam_policy,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.test_iam_permissions: gapic_v1.method.wrap_method(
-                self.test_iam_permissions,
-                default_retry=retries.Retry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.list_content: gapic_v1.method.wrap_method(
-                self.list_content,
-                default_retry=retries.Retry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.get_location: gapic_v1.method.wrap_method(
-                self.get_location,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.list_locations: gapic_v1.method.wrap_method(
-                self.list_locations,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.cancel_operation: gapic_v1.method.wrap_method(
-                self.cancel_operation,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.delete_operation: gapic_v1.method.wrap_method(
-                self.delete_operation,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.get_operation: gapic_v1.method.wrap_method(
-                self.get_operation,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.list_operations: gapic_v1.method.wrap_method(
-                self.list_operations,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-         }
-
-    def close(self):
-        """Closes resources associated with the transport.
-
-       .. warning::
-            Only call this method if the transport is NOT shared
-            with other clients - this may cause errors in other clients!
-        """
-        raise NotImplementedError()
-
-    @property
-    def create_content(self) -> Callable[
-            [gcd_content.CreateContentRequest],
-            Union[
-                analyze.Content,
-                Awaitable[analyze.Content]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def update_content(self) -> Callable[
-            [gcd_content.UpdateContentRequest],
-            Union[
-                analyze.Content,
-                Awaitable[analyze.Content]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def delete_content(self) -> Callable[
-            [content.DeleteContentRequest],
-            Union[
-                empty_pb2.Empty,
-                Awaitable[empty_pb2.Empty]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def get_content(self) -> Callable[
-            [content.GetContentRequest],
-            Union[
-                analyze.Content,
-                Awaitable[analyze.Content]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def get_iam_policy(self) -> Callable[
-            [iam_policy_pb2.GetIamPolicyRequest],
-            Union[
-                policy_pb2.Policy,
-                Awaitable[policy_pb2.Policy]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def set_iam_policy(self) -> Callable[
-            [iam_policy_pb2.SetIamPolicyRequest],
-            Union[
-                policy_pb2.Policy,
-                Awaitable[policy_pb2.Policy]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def test_iam_permissions(self) -> Callable[
-            [iam_policy_pb2.TestIamPermissionsRequest],
-            Union[
-                iam_policy_pb2.TestIamPermissionsResponse,
-                Awaitable[iam_policy_pb2.TestIamPermissionsResponse]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def list_content(self) -> Callable[
-            [content.ListContentRequest],
-            Union[
-                content.ListContentResponse,
-                Awaitable[content.ListContentResponse]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def list_operations(
-        self,
-    ) -> Callable[
-        [operations_pb2.ListOperationsRequest],
-        Union[operations_pb2.ListOperationsResponse, Awaitable[operations_pb2.ListOperationsResponse]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def get_operation(
-        self,
-    ) -> Callable[
-        [operations_pb2.GetOperationRequest],
-        Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def cancel_operation(
-        self,
-    ) -> Callable[
-        [operations_pb2.CancelOperationRequest],
-        None,
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def delete_operation(
-        self,
-    ) -> Callable[
-        [operations_pb2.DeleteOperationRequest],
-        None,
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def get_location(self,
-    ) -> Callable[
-        [locations_pb2.GetLocationRequest],
-        Union[locations_pb2.Location, Awaitable[locations_pb2.Location]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def list_locations(self,
-    ) -> Callable[
-        [locations_pb2.ListLocationsRequest],
-        Union[locations_pb2.ListLocationsResponse, Awaitable[locations_pb2.ListLocationsResponse]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def kind(self) -> str:
-        raise NotImplementedError()
-
-
-__all__ = (
-    'ContentServiceTransport',
-)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/content_service/transports/grpc.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/content_service/transports/grpc.py
deleted file mode 100644
index 54d08d185201..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/content_service/transports/grpc.py
+++ /dev/null
@@ -1,587 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-import warnings
-from typing import Callable, Dict, Optional, Sequence, Tuple, Union
-
-from google.api_core import grpc_helpers
-from google.api_core import gapic_v1
-import google.auth                         # type: ignore
-from google.auth import credentials as ga_credentials  # type: ignore
-from google.auth.transport.grpc import SslCredentials  # type: ignore
-
-import grpc  # type: ignore
-
-from google.cloud.dataplex_v1.types import analyze
-from google.cloud.dataplex_v1.types import content
-from google.cloud.dataplex_v1.types import content as gcd_content
-from google.cloud.location import locations_pb2 # type: ignore
-from google.iam.v1 import iam_policy_pb2  # type: ignore
-from google.iam.v1 import policy_pb2  # type: ignore
-from google.longrunning import operations_pb2 # type: ignore
-from google.protobuf import empty_pb2  # type: ignore
-from .base import ContentServiceTransport, DEFAULT_CLIENT_INFO
-
-
-class ContentServiceGrpcTransport(ContentServiceTransport):
-    """gRPC backend transport for ContentService.
-
-    ContentService manages Notebook and SQL Scripts for Dataplex.
-
-    This class defines the same methods as the primary client, so the
-    primary client can load the underlying transport implementation
-    and call it.
-
-    It sends protocol buffers over the wire using gRPC (which is built on
-    top of HTTP/2); the ``grpcio`` package must be installed.
-    """
-    _stubs: Dict[str, Callable]
-
-    def __init__(self, *,
-            host: str = 'dataplex.googleapis.com',
-            credentials: Optional[ga_credentials.Credentials] = None,
-            credentials_file: Optional[str] = None,
-            scopes: Optional[Sequence[str]] = None,
-            channel: Optional[Union[grpc.Channel, Callable[..., grpc.Channel]]] = None,
-            api_mtls_endpoint: Optional[str] = None,
-            client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
-            ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None,
-            client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
-            quota_project_id: Optional[str] = None,
-            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-            always_use_jwt_access: Optional[bool] = False,
-            api_audience: Optional[str] = None,
-            ) -> None:
-        """Instantiate the transport.
-
-        Args:
-            host (Optional[str]):
-                 The hostname to connect to (default: 'dataplex.googleapis.com').
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-                This argument is ignored if a ``channel`` instance is provided.
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-                This argument is ignored if a ``channel`` instance is provided.
-            scopes (Optional(Sequence[str])): A list of scopes. This argument is
-                ignored if a ``channel`` instance is provided.
-            channel (Optional[Union[grpc.Channel, Callable[..., grpc.Channel]]]):
-                A ``Channel`` instance through which to make calls, or a Callable
-                that constructs and returns one. If set to None, ``self.create_channel``
-                is used to create the channel. If a Callable is given, it will be called
-                with the same arguments as used in ``self.create_channel``.
-            api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint.
-                If provided, it overrides the ``host`` argument and tries to create
-                a mutual TLS channel with client SSL credentials from
-                ``client_cert_source`` or application default SSL credentials.
-            client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]):
-                Deprecated. A callback to provide client SSL certificate bytes and
-                private key bytes, both in PEM format. It is ignored if
-                ``api_mtls_endpoint`` is None.
-            ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials
-                for the grpc channel. It is ignored if a ``channel`` instance is provided.
-            client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]):
-                A callback to provide client certificate bytes and private key bytes,
-                both in PEM format. It is used to configure a mutual TLS channel. It is
-                ignored if a ``channel`` instance or ``ssl_channel_credentials`` is provided.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
-                The client info used to send a user-agent string along with
-                API requests. If ``None``, then default info will be used.
-                Generally, you only need to set this if you're developing
-                your own client library.
-            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
-                be used for service account credentials.
-
-        Raises:
-          google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport
-              creation failed for any reason.
-          google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials``
-              and ``credentials_file`` are passed.
-        """
-        self._grpc_channel = None
-        self._ssl_channel_credentials = ssl_channel_credentials
-        self._stubs: Dict[str, Callable] = {}
-
-        if api_mtls_endpoint:
-            warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning)
-        if client_cert_source:
-            warnings.warn("client_cert_source is deprecated", DeprecationWarning)
-
-        if isinstance(channel, grpc.Channel):
-            # Ignore credentials if a channel was passed.
-            credentials = None
-            self._ignore_credentials = True
-            # If a channel was explicitly provided, set it.
-            self._grpc_channel = channel
-            self._ssl_channel_credentials = None
-
-        else:
-            if api_mtls_endpoint:
-                host = api_mtls_endpoint
-
-                # Create SSL credentials with client_cert_source or application
-                # default SSL credentials.
-                if client_cert_source:
-                    cert, key = client_cert_source()
-                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
-                        certificate_chain=cert, private_key=key
-                    )
-                else:
-                    self._ssl_channel_credentials = SslCredentials().ssl_credentials
-
-            else:
-                if client_cert_source_for_mtls and not ssl_channel_credentials:
-                    cert, key = client_cert_source_for_mtls()
-                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
-                        certificate_chain=cert, private_key=key
-                    )
-
-        # The base transport sets the host, credentials and scopes
-        super().__init__(
-            host=host,
-            credentials=credentials,
-            credentials_file=credentials_file,
-            scopes=scopes,
-            quota_project_id=quota_project_id,
-            client_info=client_info,
-            always_use_jwt_access=always_use_jwt_access,
-            api_audience=api_audience,
-        )
-
-        if not self._grpc_channel:
-            # initialize with the provided callable or the default channel
-            channel_init = channel or type(self).create_channel
-            self._grpc_channel = channel_init(
-                self._host,
-                # use the credentials which are saved
-                credentials=self._credentials,
-                # Set ``credentials_file`` to ``None`` here as
-                # the credentials that we saved earlier should be used.
-                credentials_file=None,
-                scopes=self._scopes,
-                ssl_credentials=self._ssl_channel_credentials,
-                quota_project_id=quota_project_id,
-                options=[
-                    ("grpc.max_send_message_length", -1),
-                    ("grpc.max_receive_message_length", -1),
-                ],
-            )
-
-        # Wrap messages. This must be done after self._grpc_channel exists
-        self._prep_wrapped_messages(client_info)
-
-    @classmethod
-    def create_channel(cls,
-                       host: str = 'dataplex.googleapis.com',
-                       credentials: Optional[ga_credentials.Credentials] = None,
-                       credentials_file: Optional[str] = None,
-                       scopes: Optional[Sequence[str]] = None,
-                       quota_project_id: Optional[str] = None,
-                       **kwargs) -> grpc.Channel:
-        """Create and return a gRPC channel object.
-        Args:
-            host (Optional[str]): The host for the channel to use.
-            credentials (Optional[~.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify this application to the service. If
-                none are specified, the client will attempt to ascertain
-                the credentials from the environment.
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-                This argument is mutually exclusive with credentials.
-            scopes (Optional[Sequence[str]]): A optional list of scopes needed for this
-                service. These are only used when credentials are not specified and
-                are passed to :func:`google.auth.default`.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            kwargs (Optional[dict]): Keyword arguments, which are passed to the
-                channel creation.
-        Returns:
-            grpc.Channel: A gRPC channel object.
-
-        Raises:
-            google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials``
-              and ``credentials_file`` are passed.
-        """
-
-        return grpc_helpers.create_channel(
-            host,
-            credentials=credentials,
-            credentials_file=credentials_file,
-            quota_project_id=quota_project_id,
-            default_scopes=cls.AUTH_SCOPES,
-            scopes=scopes,
-            default_host=cls.DEFAULT_HOST,
-            **kwargs
-        )
-
-    @property
-    def grpc_channel(self) -> grpc.Channel:
-        """Return the channel designed to connect to this service.
-        """
-        return self._grpc_channel
-
-    @property
-    def create_content(self) -> Callable[
-            [gcd_content.CreateContentRequest],
-            analyze.Content]:
-        r"""Return a callable for the create content method over gRPC.
-
-        Create a content.
-
-        Returns:
-            Callable[[~.CreateContentRequest],
-                    ~.Content]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'create_content' not in self._stubs:
-            self._stubs['create_content'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.ContentService/CreateContent',
-                request_serializer=gcd_content.CreateContentRequest.serialize,
-                response_deserializer=analyze.Content.deserialize,
-            )
-        return self._stubs['create_content']
-
-    @property
-    def update_content(self) -> Callable[
-            [gcd_content.UpdateContentRequest],
-            analyze.Content]:
-        r"""Return a callable for the update content method over gRPC.
-
-        Update a content. Only supports full resource update.
-
-        Returns:
-            Callable[[~.UpdateContentRequest],
-                    ~.Content]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'update_content' not in self._stubs:
-            self._stubs['update_content'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.ContentService/UpdateContent',
-                request_serializer=gcd_content.UpdateContentRequest.serialize,
-                response_deserializer=analyze.Content.deserialize,
-            )
-        return self._stubs['update_content']
-
-    @property
-    def delete_content(self) -> Callable[
-            [content.DeleteContentRequest],
-            empty_pb2.Empty]:
-        r"""Return a callable for the delete content method over gRPC.
-
-        Delete a content.
-
-        Returns:
-            Callable[[~.DeleteContentRequest],
-                    ~.Empty]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'delete_content' not in self._stubs:
-            self._stubs['delete_content'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.ContentService/DeleteContent',
-                request_serializer=content.DeleteContentRequest.serialize,
-                response_deserializer=empty_pb2.Empty.FromString,
-            )
-        return self._stubs['delete_content']
-
-    @property
-    def get_content(self) -> Callable[
-            [content.GetContentRequest],
-            analyze.Content]:
-        r"""Return a callable for the get content method over gRPC.
-
-        Get a content resource.
-
-        Returns:
-            Callable[[~.GetContentRequest],
-                    ~.Content]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'get_content' not in self._stubs:
-            self._stubs['get_content'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.ContentService/GetContent',
-                request_serializer=content.GetContentRequest.serialize,
-                response_deserializer=analyze.Content.deserialize,
-            )
-        return self._stubs['get_content']
-
-    @property
-    def get_iam_policy(self) -> Callable[
-            [iam_policy_pb2.GetIamPolicyRequest],
-            policy_pb2.Policy]:
-        r"""Return a callable for the get iam policy method over gRPC.
-
-        Gets the access control policy for a contentitem resource. A
-        ``NOT_FOUND`` error is returned if the resource does not exist.
-        An empty policy is returned if the resource exists but does not
-        have a policy set on it.
-
-        Caller must have Google IAM ``dataplex.content.getIamPolicy``
-        permission on the resource.
-
-        Returns:
-            Callable[[~.GetIamPolicyRequest],
-                    ~.Policy]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'get_iam_policy' not in self._stubs:
-            self._stubs['get_iam_policy'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.ContentService/GetIamPolicy',
-                request_serializer=iam_policy_pb2.GetIamPolicyRequest.SerializeToString,
-                response_deserializer=policy_pb2.Policy.FromString,
-            )
-        return self._stubs['get_iam_policy']
-
-    @property
-    def set_iam_policy(self) -> Callable[
-            [iam_policy_pb2.SetIamPolicyRequest],
-            policy_pb2.Policy]:
-        r"""Return a callable for the set iam policy method over gRPC.
-
-        Sets the access control policy on the specified contentitem
-        resource. Replaces any existing policy.
-
-        Caller must have Google IAM ``dataplex.content.setIamPolicy``
-        permission on the resource.
-
-        Returns:
-            Callable[[~.SetIamPolicyRequest],
-                    ~.Policy]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'set_iam_policy' not in self._stubs:
-            self._stubs['set_iam_policy'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.ContentService/SetIamPolicy',
-                request_serializer=iam_policy_pb2.SetIamPolicyRequest.SerializeToString,
-                response_deserializer=policy_pb2.Policy.FromString,
-            )
-        return self._stubs['set_iam_policy']
-
-    @property
-    def test_iam_permissions(self) -> Callable[
-            [iam_policy_pb2.TestIamPermissionsRequest],
-            iam_policy_pb2.TestIamPermissionsResponse]:
-        r"""Return a callable for the test iam permissions method over gRPC.
-
-        Returns the caller's permissions on a resource. If the resource
-        does not exist, an empty set of permissions is returned (a
-        ``NOT_FOUND`` error is not returned).
-
-        A caller is not required to have Google IAM permission to make
-        this request.
-
-        Note: This operation is designed to be used for building
-        permission-aware UIs and command-line tools, not for
-        authorization checking. This operation may "fail open" without
-        warning.
-
-        Returns:
-            Callable[[~.TestIamPermissionsRequest],
-                    ~.TestIamPermissionsResponse]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'test_iam_permissions' not in self._stubs:
-            self._stubs['test_iam_permissions'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.ContentService/TestIamPermissions',
-                request_serializer=iam_policy_pb2.TestIamPermissionsRequest.SerializeToString,
-                response_deserializer=iam_policy_pb2.TestIamPermissionsResponse.FromString,
-            )
-        return self._stubs['test_iam_permissions']
-
-    @property
-    def list_content(self) -> Callable[
-            [content.ListContentRequest],
-            content.ListContentResponse]:
-        r"""Return a callable for the list content method over gRPC.
-
-        List content.
-
-        Returns:
-            Callable[[~.ListContentRequest],
-                    ~.ListContentResponse]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'list_content' not in self._stubs:
-            self._stubs['list_content'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.ContentService/ListContent',
-                request_serializer=content.ListContentRequest.serialize,
-                response_deserializer=content.ListContentResponse.deserialize,
-            )
-        return self._stubs['list_content']
-
-    def close(self):
-        self.grpc_channel.close()
-
-    @property
-    def delete_operation(
-        self,
-    ) -> Callable[[operations_pb2.DeleteOperationRequest], None]:
-        r"""Return a callable for the delete_operation method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "delete_operation" not in self._stubs:
-            self._stubs["delete_operation"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/DeleteOperation",
-                request_serializer=operations_pb2.DeleteOperationRequest.SerializeToString,
-                response_deserializer=None,
-            )
-        return self._stubs["delete_operation"]
-
-    @property
-    def cancel_operation(
-        self,
-    ) -> Callable[[operations_pb2.CancelOperationRequest], None]:
-        r"""Return a callable for the cancel_operation method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "cancel_operation" not in self._stubs:
-            self._stubs["cancel_operation"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/CancelOperation",
-                request_serializer=operations_pb2.CancelOperationRequest.SerializeToString,
-                response_deserializer=None,
-            )
-        return self._stubs["cancel_operation"]
-
-    @property
-    def get_operation(
-        self,
-    ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]:
-        r"""Return a callable for the get_operation method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "get_operation" not in self._stubs:
-            self._stubs["get_operation"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/GetOperation",
-                request_serializer=operations_pb2.GetOperationRequest.SerializeToString,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs["get_operation"]
-
-    @property
-    def list_operations(
-        self,
-    ) -> Callable[[operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse]:
-        r"""Return a callable for the list_operations method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "list_operations" not in self._stubs:
-            self._stubs["list_operations"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/ListOperations",
-                request_serializer=operations_pb2.ListOperationsRequest.SerializeToString,
-                response_deserializer=operations_pb2.ListOperationsResponse.FromString,
-            )
-        return self._stubs["list_operations"]
-
-    @property
-    def list_locations(
-        self,
-    ) -> Callable[[locations_pb2.ListLocationsRequest], locations_pb2.ListLocationsResponse]:
-        r"""Return a callable for the list locations method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "list_locations" not in self._stubs:
-            self._stubs["list_locations"] = self.grpc_channel.unary_unary(
-                "/google.cloud.location.Locations/ListLocations",
-                request_serializer=locations_pb2.ListLocationsRequest.SerializeToString,
-                response_deserializer=locations_pb2.ListLocationsResponse.FromString,
-            )
-        return self._stubs["list_locations"]
-
-    @property
-    def get_location(
-        self,
-    ) -> Callable[[locations_pb2.GetLocationRequest], locations_pb2.Location]:
-        r"""Return a callable for the list locations method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "get_location" not in self._stubs:
-            self._stubs["get_location"] = self.grpc_channel.unary_unary(
-                "/google.cloud.location.Locations/GetLocation",
-                request_serializer=locations_pb2.GetLocationRequest.SerializeToString,
-                response_deserializer=locations_pb2.Location.FromString,
-            )
-        return self._stubs["get_location"]
-
-    @property
-    def kind(self) -> str:
-        return "grpc"
-
-
-__all__ = (
-    'ContentServiceGrpcTransport',
-)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/content_service/transports/grpc_asyncio.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/content_service/transports/grpc_asyncio.py
deleted file mode 100644
index ba7088c07b69..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/content_service/transports/grpc_asyncio.py
+++ /dev/null
@@ -1,709 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-import inspect
-import warnings
-from typing import Awaitable, Callable, Dict, Optional, Sequence, Tuple, Union
-
-from google.api_core import gapic_v1
-from google.api_core import grpc_helpers_async
-from google.api_core import exceptions as core_exceptions
-from google.api_core import retry_async as retries
-from google.auth import credentials as ga_credentials   # type: ignore
-from google.auth.transport.grpc import SslCredentials  # type: ignore
-
-import grpc                        # type: ignore
-from grpc.experimental import aio  # type: ignore
-
-from google.cloud.dataplex_v1.types import analyze
-from google.cloud.dataplex_v1.types import content
-from google.cloud.dataplex_v1.types import content as gcd_content
-from google.cloud.location import locations_pb2 # type: ignore
-from google.iam.v1 import iam_policy_pb2  # type: ignore
-from google.iam.v1 import policy_pb2  # type: ignore
-from google.longrunning import operations_pb2 # type: ignore
-from google.protobuf import empty_pb2  # type: ignore
-from .base import ContentServiceTransport, DEFAULT_CLIENT_INFO
-from .grpc import ContentServiceGrpcTransport
-
-
-class ContentServiceGrpcAsyncIOTransport(ContentServiceTransport):
-    """gRPC AsyncIO backend transport for ContentService.
-
-    ContentService manages Notebook and SQL Scripts for Dataplex.
-
-    This class defines the same methods as the primary client, so the
-    primary client can load the underlying transport implementation
-    and call it.
-
-    It sends protocol buffers over the wire using gRPC (which is built on
-    top of HTTP/2); the ``grpcio`` package must be installed.
-    """
-
-    _grpc_channel: aio.Channel
-    _stubs: Dict[str, Callable] = {}
-
-    @classmethod
-    def create_channel(cls,
-                       host: str = 'dataplex.googleapis.com',
-                       credentials: Optional[ga_credentials.Credentials] = None,
-                       credentials_file: Optional[str] = None,
-                       scopes: Optional[Sequence[str]] = None,
-                       quota_project_id: Optional[str] = None,
-                       **kwargs) -> aio.Channel:
-        """Create and return a gRPC AsyncIO channel object.
-        Args:
-            host (Optional[str]): The host for the channel to use.
-            credentials (Optional[~.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify this application to the service. If
-                none are specified, the client will attempt to ascertain
-                the credentials from the environment.
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-            scopes (Optional[Sequence[str]]): A optional list of scopes needed for this
-                service. These are only used when credentials are not specified and
-                are passed to :func:`google.auth.default`.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            kwargs (Optional[dict]): Keyword arguments, which are passed to the
-                channel creation.
-        Returns:
-            aio.Channel: A gRPC AsyncIO channel object.
-        """
-
-        return grpc_helpers_async.create_channel(
-            host,
-            credentials=credentials,
-            credentials_file=credentials_file,
-            quota_project_id=quota_project_id,
-            default_scopes=cls.AUTH_SCOPES,
-            scopes=scopes,
-            default_host=cls.DEFAULT_HOST,
-            **kwargs
-        )
-
-    def __init__(self, *,
-            host: str = 'dataplex.googleapis.com',
-            credentials: Optional[ga_credentials.Credentials] = None,
-            credentials_file: Optional[str] = None,
-            scopes: Optional[Sequence[str]] = None,
-            channel: Optional[Union[aio.Channel, Callable[..., aio.Channel]]] = None,
-            api_mtls_endpoint: Optional[str] = None,
-            client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
-            ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None,
-            client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
-            quota_project_id: Optional[str] = None,
-            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-            always_use_jwt_access: Optional[bool] = False,
-            api_audience: Optional[str] = None,
-            ) -> None:
-        """Instantiate the transport.
-
-        Args:
-            host (Optional[str]):
-                 The hostname to connect to (default: 'dataplex.googleapis.com').
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-                This argument is ignored if a ``channel`` instance is provided.
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-                This argument is ignored if a ``channel`` instance is provided.
-            scopes (Optional[Sequence[str]]): A optional list of scopes needed for this
-                service. These are only used when credentials are not specified and
-                are passed to :func:`google.auth.default`.
-            channel (Optional[Union[aio.Channel, Callable[..., aio.Channel]]]):
-                A ``Channel`` instance through which to make calls, or a Callable
-                that constructs and returns one. If set to None, ``self.create_channel``
-                is used to create the channel. If a Callable is given, it will be called
-                with the same arguments as used in ``self.create_channel``.
-            api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint.
-                If provided, it overrides the ``host`` argument and tries to create
-                a mutual TLS channel with client SSL credentials from
-                ``client_cert_source`` or application default SSL credentials.
-            client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]):
-                Deprecated. A callback to provide client SSL certificate bytes and
-                private key bytes, both in PEM format. It is ignored if
-                ``api_mtls_endpoint`` is None.
-            ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials
-                for the grpc channel. It is ignored if a ``channel`` instance is provided.
-            client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]):
-                A callback to provide client certificate bytes and private key bytes,
-                both in PEM format. It is used to configure a mutual TLS channel. It is
-                ignored if a ``channel`` instance or ``ssl_channel_credentials`` is provided.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
-                The client info used to send a user-agent string along with
-                API requests. If ``None``, then default info will be used.
-                Generally, you only need to set this if you're developing
-                your own client library.
-            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
-                be used for service account credentials.
-
-        Raises:
-            google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport
-              creation failed for any reason.
-          google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials``
-              and ``credentials_file`` are passed.
-        """
-        self._grpc_channel = None
-        self._ssl_channel_credentials = ssl_channel_credentials
-        self._stubs: Dict[str, Callable] = {}
-
-        if api_mtls_endpoint:
-            warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning)
-        if client_cert_source:
-            warnings.warn("client_cert_source is deprecated", DeprecationWarning)
-
-        if isinstance(channel, aio.Channel):
-            # Ignore credentials if a channel was passed.
-            credentials = None
-            self._ignore_credentials = True
-            # If a channel was explicitly provided, set it.
-            self._grpc_channel = channel
-            self._ssl_channel_credentials = None
-        else:
-            if api_mtls_endpoint:
-                host = api_mtls_endpoint
-
-                # Create SSL credentials with client_cert_source or application
-                # default SSL credentials.
-                if client_cert_source:
-                    cert, key = client_cert_source()
-                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
-                        certificate_chain=cert, private_key=key
-                    )
-                else:
-                    self._ssl_channel_credentials = SslCredentials().ssl_credentials
-
-            else:
-                if client_cert_source_for_mtls and not ssl_channel_credentials:
-                    cert, key = client_cert_source_for_mtls()
-                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
-                        certificate_chain=cert, private_key=key
-                    )
-
-        # The base transport sets the host, credentials and scopes
-        super().__init__(
-            host=host,
-            credentials=credentials,
-            credentials_file=credentials_file,
-            scopes=scopes,
-            quota_project_id=quota_project_id,
-            client_info=client_info,
-            always_use_jwt_access=always_use_jwt_access,
-            api_audience=api_audience,
-        )
-
-        if not self._grpc_channel:
-            # initialize with the provided callable or the default channel
-            channel_init = channel or type(self).create_channel
-            self._grpc_channel = channel_init(
-                self._host,
-                # use the credentials which are saved
-                credentials=self._credentials,
-                # Set ``credentials_file`` to ``None`` here as
-                # the credentials that we saved earlier should be used.
-                credentials_file=None,
-                scopes=self._scopes,
-                ssl_credentials=self._ssl_channel_credentials,
-                quota_project_id=quota_project_id,
-                options=[
-                    ("grpc.max_send_message_length", -1),
-                    ("grpc.max_receive_message_length", -1),
-                ],
-            )
-
-        # Wrap messages. This must be done after self._grpc_channel exists
-        self._wrap_with_kind = "kind" in inspect.signature(gapic_v1.method_async.wrap_method).parameters
-        self._prep_wrapped_messages(client_info)
-
-    @property
-    def grpc_channel(self) -> aio.Channel:
-        """Create the channel designed to connect to this service.
-
-        This property caches on the instance; repeated calls return
-        the same channel.
-        """
-        # Return the channel from cache.
-        return self._grpc_channel
-
-    @property
-    def create_content(self) -> Callable[
-            [gcd_content.CreateContentRequest],
-            Awaitable[analyze.Content]]:
-        r"""Return a callable for the create content method over gRPC.
-
-        Create a content.
-
-        Returns:
-            Callable[[~.CreateContentRequest],
-                    Awaitable[~.Content]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'create_content' not in self._stubs:
-            self._stubs['create_content'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.ContentService/CreateContent',
-                request_serializer=gcd_content.CreateContentRequest.serialize,
-                response_deserializer=analyze.Content.deserialize,
-            )
-        return self._stubs['create_content']
-
-    @property
-    def update_content(self) -> Callable[
-            [gcd_content.UpdateContentRequest],
-            Awaitable[analyze.Content]]:
-        r"""Return a callable for the update content method over gRPC.
-
-        Update a content. Only supports full resource update.
-
-        Returns:
-            Callable[[~.UpdateContentRequest],
-                    Awaitable[~.Content]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'update_content' not in self._stubs:
-            self._stubs['update_content'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.ContentService/UpdateContent',
-                request_serializer=gcd_content.UpdateContentRequest.serialize,
-                response_deserializer=analyze.Content.deserialize,
-            )
-        return self._stubs['update_content']
-
-    @property
-    def delete_content(self) -> Callable[
-            [content.DeleteContentRequest],
-            Awaitable[empty_pb2.Empty]]:
-        r"""Return a callable for the delete content method over gRPC.
-
-        Delete a content.
-
-        Returns:
-            Callable[[~.DeleteContentRequest],
-                    Awaitable[~.Empty]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'delete_content' not in self._stubs:
-            self._stubs['delete_content'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.ContentService/DeleteContent',
-                request_serializer=content.DeleteContentRequest.serialize,
-                response_deserializer=empty_pb2.Empty.FromString,
-            )
-        return self._stubs['delete_content']
-
-    @property
-    def get_content(self) -> Callable[
-            [content.GetContentRequest],
-            Awaitable[analyze.Content]]:
-        r"""Return a callable for the get content method over gRPC.
-
-        Get a content resource.
-
-        Returns:
-            Callable[[~.GetContentRequest],
-                    Awaitable[~.Content]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'get_content' not in self._stubs:
-            self._stubs['get_content'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.ContentService/GetContent',
-                request_serializer=content.GetContentRequest.serialize,
-                response_deserializer=analyze.Content.deserialize,
-            )
-        return self._stubs['get_content']
-
-    @property
-    def get_iam_policy(self) -> Callable[
-            [iam_policy_pb2.GetIamPolicyRequest],
-            Awaitable[policy_pb2.Policy]]:
-        r"""Return a callable for the get iam policy method over gRPC.
-
-        Gets the access control policy for a contentitem resource. A
-        ``NOT_FOUND`` error is returned if the resource does not exist.
-        An empty policy is returned if the resource exists but does not
-        have a policy set on it.
-
-        Caller must have Google IAM ``dataplex.content.getIamPolicy``
-        permission on the resource.
-
-        Returns:
-            Callable[[~.GetIamPolicyRequest],
-                    Awaitable[~.Policy]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'get_iam_policy' not in self._stubs:
-            self._stubs['get_iam_policy'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.ContentService/GetIamPolicy',
-                request_serializer=iam_policy_pb2.GetIamPolicyRequest.SerializeToString,
-                response_deserializer=policy_pb2.Policy.FromString,
-            )
-        return self._stubs['get_iam_policy']
-
-    @property
-    def set_iam_policy(self) -> Callable[
-            [iam_policy_pb2.SetIamPolicyRequest],
-            Awaitable[policy_pb2.Policy]]:
-        r"""Return a callable for the set iam policy method over gRPC.
-
-        Sets the access control policy on the specified contentitem
-        resource. Replaces any existing policy.
-
-        Caller must have Google IAM ``dataplex.content.setIamPolicy``
-        permission on the resource.
-
-        Returns:
-            Callable[[~.SetIamPolicyRequest],
-                    Awaitable[~.Policy]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'set_iam_policy' not in self._stubs:
-            self._stubs['set_iam_policy'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.ContentService/SetIamPolicy',
-                request_serializer=iam_policy_pb2.SetIamPolicyRequest.SerializeToString,
-                response_deserializer=policy_pb2.Policy.FromString,
-            )
-        return self._stubs['set_iam_policy']
-
-    @property
-    def test_iam_permissions(self) -> Callable[
-            [iam_policy_pb2.TestIamPermissionsRequest],
-            Awaitable[iam_policy_pb2.TestIamPermissionsResponse]]:
-        r"""Return a callable for the test iam permissions method over gRPC.
-
-        Returns the caller's permissions on a resource. If the resource
-        does not exist, an empty set of permissions is returned (a
-        ``NOT_FOUND`` error is not returned).
-
-        A caller is not required to have Google IAM permission to make
-        this request.
-
-        Note: This operation is designed to be used for building
-        permission-aware UIs and command-line tools, not for
-        authorization checking. This operation may "fail open" without
-        warning.
-
-        Returns:
-            Callable[[~.TestIamPermissionsRequest],
-                    Awaitable[~.TestIamPermissionsResponse]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'test_iam_permissions' not in self._stubs:
-            self._stubs['test_iam_permissions'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.ContentService/TestIamPermissions',
-                request_serializer=iam_policy_pb2.TestIamPermissionsRequest.SerializeToString,
-                response_deserializer=iam_policy_pb2.TestIamPermissionsResponse.FromString,
-            )
-        return self._stubs['test_iam_permissions']
-
-    @property
-    def list_content(self) -> Callable[
-            [content.ListContentRequest],
-            Awaitable[content.ListContentResponse]]:
-        r"""Return a callable for the list content method over gRPC.
-
-        List content.
-
-        Returns:
-            Callable[[~.ListContentRequest],
-                    Awaitable[~.ListContentResponse]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'list_content' not in self._stubs:
-            self._stubs['list_content'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.ContentService/ListContent',
-                request_serializer=content.ListContentRequest.serialize,
-                response_deserializer=content.ListContentResponse.deserialize,
-            )
-        return self._stubs['list_content']
-
-    def _prep_wrapped_messages(self, client_info):
-        """ Precompute the wrapped methods, overriding the base class method to use async wrappers."""
-        self._wrapped_methods = {
-            self.create_content: self._wrap_method(
-                self.create_content,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.update_content: self._wrap_method(
-                self.update_content,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.delete_content: self._wrap_method(
-                self.delete_content,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.get_content: self._wrap_method(
-                self.get_content,
-                default_retry=retries.AsyncRetry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.get_iam_policy: self._wrap_method(
-                self.get_iam_policy,
-                default_retry=retries.AsyncRetry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.set_iam_policy: self._wrap_method(
-                self.set_iam_policy,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.test_iam_permissions: self._wrap_method(
-                self.test_iam_permissions,
-                default_retry=retries.AsyncRetry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.list_content: self._wrap_method(
-                self.list_content,
-                default_retry=retries.AsyncRetry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.get_location: self._wrap_method(
-                self.get_location,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.list_locations: self._wrap_method(
-                self.list_locations,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.cancel_operation: self._wrap_method(
-                self.cancel_operation,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.delete_operation: self._wrap_method(
-                self.delete_operation,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.get_operation: self._wrap_method(
-                self.get_operation,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.list_operations: self._wrap_method(
-                self.list_operations,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-        }
-
-    def _wrap_method(self, func, *args, **kwargs):
-        if self._wrap_with_kind:  # pragma: NO COVER
-            kwargs["kind"] = self.kind
-        return gapic_v1.method_async.wrap_method(func, *args, **kwargs)
-
-    def close(self):
-        return self.grpc_channel.close()
-
-    @property
-    def kind(self) -> str:
-        return "grpc_asyncio"
-
-    @property
-    def delete_operation(
-        self,
-    ) -> Callable[[operations_pb2.DeleteOperationRequest], None]:
-        r"""Return a callable for the delete_operation method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "delete_operation" not in self._stubs:
-            self._stubs["delete_operation"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/DeleteOperation",
-                request_serializer=operations_pb2.DeleteOperationRequest.SerializeToString,
-                response_deserializer=None,
-            )
-        return self._stubs["delete_operation"]
-
-    @property
-    def cancel_operation(
-        self,
-    ) -> Callable[[operations_pb2.CancelOperationRequest], None]:
-        r"""Return a callable for the cancel_operation method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "cancel_operation" not in self._stubs:
-            self._stubs["cancel_operation"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/CancelOperation",
-                request_serializer=operations_pb2.CancelOperationRequest.SerializeToString,
-                response_deserializer=None,
-            )
-        return self._stubs["cancel_operation"]
-
-    @property
-    def get_operation(
-        self,
-    ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]:
-        r"""Return a callable for the get_operation method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "get_operation" not in self._stubs:
-            self._stubs["get_operation"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/GetOperation",
-                request_serializer=operations_pb2.GetOperationRequest.SerializeToString,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs["get_operation"]
-
-    @property
-    def list_operations(
-        self,
-    ) -> Callable[[operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse]:
-        r"""Return a callable for the list_operations method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "list_operations" not in self._stubs:
-            self._stubs["list_operations"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/ListOperations",
-                request_serializer=operations_pb2.ListOperationsRequest.SerializeToString,
-                response_deserializer=operations_pb2.ListOperationsResponse.FromString,
-            )
-        return self._stubs["list_operations"]
-
-    @property
-    def list_locations(
-        self,
-    ) -> Callable[[locations_pb2.ListLocationsRequest], locations_pb2.ListLocationsResponse]:
-        r"""Return a callable for the list locations method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "list_locations" not in self._stubs:
-            self._stubs["list_locations"] = self.grpc_channel.unary_unary(
-                "/google.cloud.location.Locations/ListLocations",
-                request_serializer=locations_pb2.ListLocationsRequest.SerializeToString,
-                response_deserializer=locations_pb2.ListLocationsResponse.FromString,
-            )
-        return self._stubs["list_locations"]
-
-    @property
-    def get_location(
-        self,
-    ) -> Callable[[locations_pb2.GetLocationRequest], locations_pb2.Location]:
-        r"""Return a callable for the list locations method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "get_location" not in self._stubs:
-            self._stubs["get_location"] = self.grpc_channel.unary_unary(
-                "/google.cloud.location.Locations/GetLocation",
-                request_serializer=locations_pb2.GetLocationRequest.SerializeToString,
-                response_deserializer=locations_pb2.Location.FromString,
-            )
-        return self._stubs["get_location"]
-
-
-__all__ = (
-    'ContentServiceGrpcAsyncIOTransport',
-)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_scan_service/__init__.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_scan_service/__init__.py
deleted file mode 100644
index 1500c4168c10..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_scan_service/__init__.py
+++ /dev/null
@@ -1,22 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from .client import DataScanServiceClient
-from .async_client import DataScanServiceAsyncClient
-
-__all__ = (
-    'DataScanServiceClient',
-    'DataScanServiceAsyncClient',
-)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_scan_service/async_client.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_scan_service/async_client.py
deleted file mode 100644
index d370f4f64327..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_scan_service/async_client.py
+++ /dev/null
@@ -1,1665 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from collections import OrderedDict
-import re
-from typing import Dict, Callable, Mapping, MutableMapping, MutableSequence, Optional, Sequence, Tuple, Type, Union
-
-from google.cloud.dataplex_v1 import gapic_version as package_version
-
-from google.api_core.client_options import ClientOptions
-from google.api_core import exceptions as core_exceptions
-from google.api_core import gapic_v1
-from google.api_core import retry_async as retries
-from google.auth import credentials as ga_credentials   # type: ignore
-from google.oauth2 import service_account              # type: ignore
-
-
-try:
-    OptionalRetry = Union[retries.AsyncRetry, gapic_v1.method._MethodDefault, None]
-except AttributeError:  # pragma: NO COVER
-    OptionalRetry = Union[retries.AsyncRetry, object, None]  # type: ignore
-
-from google.api_core import operation  # type: ignore
-from google.api_core import operation_async  # type: ignore
-from google.cloud.dataplex_v1.services.data_scan_service import pagers
-from google.cloud.dataplex_v1.types import data_discovery
-from google.cloud.dataplex_v1.types import data_profile
-from google.cloud.dataplex_v1.types import data_quality
-from google.cloud.dataplex_v1.types import datascans
-from google.cloud.dataplex_v1.types import processing
-from google.cloud.dataplex_v1.types import resources
-from google.cloud.dataplex_v1.types import service
-from google.cloud.location import locations_pb2 # type: ignore
-from google.iam.v1 import iam_policy_pb2  # type: ignore
-from google.iam.v1 import policy_pb2  # type: ignore
-from google.longrunning import operations_pb2 # type: ignore
-from google.protobuf import empty_pb2  # type: ignore
-from google.protobuf import field_mask_pb2  # type: ignore
-from google.protobuf import timestamp_pb2  # type: ignore
-from .transports.base import DataScanServiceTransport, DEFAULT_CLIENT_INFO
-from .transports.grpc_asyncio import DataScanServiceGrpcAsyncIOTransport
-from .client import DataScanServiceClient
-
-
-class DataScanServiceAsyncClient:
-    """DataScanService manages DataScan resources which can be
-    configured to run various types of data scanning workload and
-    generate enriched metadata (e.g. Data Profile, Data Quality) for
-    the data source.
-    """
-
-    _client: DataScanServiceClient
-
-    # Copy defaults from the synchronous client for use here.
-    # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead.
-    DEFAULT_ENDPOINT = DataScanServiceClient.DEFAULT_ENDPOINT
-    DEFAULT_MTLS_ENDPOINT = DataScanServiceClient.DEFAULT_MTLS_ENDPOINT
-    _DEFAULT_ENDPOINT_TEMPLATE = DataScanServiceClient._DEFAULT_ENDPOINT_TEMPLATE
-    _DEFAULT_UNIVERSE = DataScanServiceClient._DEFAULT_UNIVERSE
-
-    connection_path = staticmethod(DataScanServiceClient.connection_path)
-    parse_connection_path = staticmethod(DataScanServiceClient.parse_connection_path)
-    data_scan_path = staticmethod(DataScanServiceClient.data_scan_path)
-    parse_data_scan_path = staticmethod(DataScanServiceClient.parse_data_scan_path)
-    data_scan_job_path = staticmethod(DataScanServiceClient.data_scan_job_path)
-    parse_data_scan_job_path = staticmethod(DataScanServiceClient.parse_data_scan_job_path)
-    dataset_path = staticmethod(DataScanServiceClient.dataset_path)
-    parse_dataset_path = staticmethod(DataScanServiceClient.parse_dataset_path)
-    entity_path = staticmethod(DataScanServiceClient.entity_path)
-    parse_entity_path = staticmethod(DataScanServiceClient.parse_entity_path)
-    common_billing_account_path = staticmethod(DataScanServiceClient.common_billing_account_path)
-    parse_common_billing_account_path = staticmethod(DataScanServiceClient.parse_common_billing_account_path)
-    common_folder_path = staticmethod(DataScanServiceClient.common_folder_path)
-    parse_common_folder_path = staticmethod(DataScanServiceClient.parse_common_folder_path)
-    common_organization_path = staticmethod(DataScanServiceClient.common_organization_path)
-    parse_common_organization_path = staticmethod(DataScanServiceClient.parse_common_organization_path)
-    common_project_path = staticmethod(DataScanServiceClient.common_project_path)
-    parse_common_project_path = staticmethod(DataScanServiceClient.parse_common_project_path)
-    common_location_path = staticmethod(DataScanServiceClient.common_location_path)
-    parse_common_location_path = staticmethod(DataScanServiceClient.parse_common_location_path)
-
-    @classmethod
-    def from_service_account_info(cls, info: dict, *args, **kwargs):
-        """Creates an instance of this client using the provided credentials
-            info.
-
-        Args:
-            info (dict): The service account private key info.
-            args: Additional arguments to pass to the constructor.
-            kwargs: Additional arguments to pass to the constructor.
-
-        Returns:
-            DataScanServiceAsyncClient: The constructed client.
-        """
-        return DataScanServiceClient.from_service_account_info.__func__(DataScanServiceAsyncClient, info, *args, **kwargs)  # type: ignore
-
-    @classmethod
-    def from_service_account_file(cls, filename: str, *args, **kwargs):
-        """Creates an instance of this client using the provided credentials
-            file.
-
-        Args:
-            filename (str): The path to the service account private key json
-                file.
-            args: Additional arguments to pass to the constructor.
-            kwargs: Additional arguments to pass to the constructor.
-
-        Returns:
-            DataScanServiceAsyncClient: The constructed client.
-        """
-        return DataScanServiceClient.from_service_account_file.__func__(DataScanServiceAsyncClient, filename, *args, **kwargs)  # type: ignore
-
-    from_service_account_json = from_service_account_file
-
-    @classmethod
-    def get_mtls_endpoint_and_cert_source(cls, client_options: Optional[ClientOptions] = None):
-        """Return the API endpoint and client cert source for mutual TLS.
-
-        The client cert source is determined in the following order:
-        (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the
-        client cert source is None.
-        (2) if `client_options.client_cert_source` is provided, use the provided one; if the
-        default client cert source exists, use the default one; otherwise the client cert
-        source is None.
-
-        The API endpoint is determined in the following order:
-        (1) if `client_options.api_endpoint` if provided, use the provided one.
-        (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the
-        default mTLS endpoint; if the environment variable is "never", use the default API
-        endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise
-        use the default API endpoint.
-
-        More details can be found at https://google.aip.dev/auth/4114.
-
-        Args:
-            client_options (google.api_core.client_options.ClientOptions): Custom options for the
-                client. Only the `api_endpoint` and `client_cert_source` properties may be used
-                in this method.
-
-        Returns:
-            Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the
-                client cert source to use.
-
-        Raises:
-            google.auth.exceptions.MutualTLSChannelError: If any errors happen.
-        """
-        return DataScanServiceClient.get_mtls_endpoint_and_cert_source(client_options)  # type: ignore
-
-    @property
-    def transport(self) -> DataScanServiceTransport:
-        """Returns the transport used by the client instance.
-
-        Returns:
-            DataScanServiceTransport: The transport used by the client instance.
-        """
-        return self._client.transport
-
-    @property
-    def api_endpoint(self):
-        """Return the API endpoint used by the client instance.
-
-        Returns:
-            str: The API endpoint used by the client instance.
-        """
-        return self._client._api_endpoint
-
-    @property
-    def universe_domain(self) -> str:
-        """Return the universe domain used by the client instance.
-
-        Returns:
-            str: The universe domain used
-                by the client instance.
-        """
-        return self._client._universe_domain
-
-    get_transport_class = DataScanServiceClient.get_transport_class
-
-    def __init__(self, *,
-            credentials: Optional[ga_credentials.Credentials] = None,
-            transport: Optional[Union[str, DataScanServiceTransport, Callable[..., DataScanServiceTransport]]] = "grpc_asyncio",
-            client_options: Optional[ClientOptions] = None,
-            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-            ) -> None:
-        """Instantiates the data scan service async client.
-
-        Args:
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-            transport (Optional[Union[str,DataScanServiceTransport,Callable[..., DataScanServiceTransport]]]):
-                The transport to use, or a Callable that constructs and returns a new transport to use.
-                If a Callable is given, it will be called with the same set of initialization
-                arguments as used in the DataScanServiceTransport constructor.
-                If set to None, a transport is chosen automatically.
-            client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]):
-                Custom options for the client.
-
-                1. The ``api_endpoint`` property can be used to override the
-                default endpoint provided by the client when ``transport`` is
-                not explicitly provided. Only if this property is not set and
-                ``transport`` was not explicitly provided, the endpoint is
-                determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment
-                variable, which have one of the following values:
-                "always" (always use the default mTLS endpoint), "never" (always
-                use the default regular endpoint) and "auto" (auto-switch to the
-                default mTLS endpoint if client certificate is present; this is
-                the default value).
-
-                2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable
-                is "true", then the ``client_cert_source`` property can be used
-                to provide a client certificate for mTLS transport. If
-                not provided, the default SSL client certificate will be used if
-                present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not
-                set, no client certificate will be used.
-
-                3. The ``universe_domain`` property can be used to override the
-                default "googleapis.com" universe. Note that ``api_endpoint``
-                property still takes precedence; and ``universe_domain`` is
-                currently not supported for mTLS.
-
-            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
-                The client info used to send a user-agent string along with
-                API requests. If ``None``, then default info will be used.
-                Generally, you only need to set this if you're developing
-                your own client library.
-
-        Raises:
-            google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport
-                creation failed for any reason.
-        """
-        self._client = DataScanServiceClient(
-            credentials=credentials,
-            transport=transport,
-            client_options=client_options,
-            client_info=client_info,
-
-        )
-
-    async def create_data_scan(self,
-            request: Optional[Union[datascans.CreateDataScanRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            data_scan: Optional[datascans.DataScan] = None,
-            data_scan_id: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation_async.AsyncOperation:
-        r"""Creates a DataScan resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_create_data_scan():
-                # Create a client
-                client = dataplex_v1.DataScanServiceAsyncClient()
-
-                # Initialize request argument(s)
-                data_scan = dataplex_v1.DataScan()
-                data_scan.data_quality_spec.rules.dimension = "dimension_value"
-                data_scan.data.entity = "entity_value"
-
-                request = dataplex_v1.CreateDataScanRequest(
-                    parent="parent_value",
-                    data_scan=data_scan,
-                    data_scan_id="data_scan_id_value",
-                )
-
-                # Make the request
-                operation = client.create_data_scan(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = (await operation).result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.CreateDataScanRequest, dict]]):
-                The request object. Create dataScan request.
-            parent (:class:`str`):
-                Required. The resource name of the parent location:
-                ``projects/{project}/locations/{location_id}`` where
-                ``project`` refers to a *project_id* or *project_number*
-                and ``location_id`` refers to a GCP region.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            data_scan (:class:`google.cloud.dataplex_v1.types.DataScan`):
-                Required. DataScan resource.
-                This corresponds to the ``data_scan`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            data_scan_id (:class:`str`):
-                Required. DataScan identifier.
-
-                -  Must contain only lowercase letters, numbers and
-                   hyphens.
-                -  Must start with a letter.
-                -  Must end with a number or a letter.
-                -  Must be between 1-63 characters.
-                -  Must be unique within the customer project /
-                   location.
-
-                This corresponds to the ``data_scan_id`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation_async.AsyncOperation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.DataScan` Represents a user-visible job which provides the insights for the related
-                   data source.
-
-                   For example:
-
-                   -  Data Quality: generates queries based on the rules
-                      and runs against the data to get data quality
-                      check results.
-                   -  Data Profile: analyzes the data in table(s) and
-                      generates insights about the structure, content
-                      and relationships (such as null percent,
-                      cardinality, min/max/mean, etc).
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent, data_scan, data_scan_id])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, datascans.CreateDataScanRequest):
-            request = datascans.CreateDataScanRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if parent is not None:
-            request.parent = parent
-        if data_scan is not None:
-            request.data_scan = data_scan
-        if data_scan_id is not None:
-            request.data_scan_id = data_scan_id
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.create_data_scan]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation_async.from_gapic(
-            response,
-            self._client._transport.operations_client,
-            datascans.DataScan,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def update_data_scan(self,
-            request: Optional[Union[datascans.UpdateDataScanRequest, dict]] = None,
-            *,
-            data_scan: Optional[datascans.DataScan] = None,
-            update_mask: Optional[field_mask_pb2.FieldMask] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation_async.AsyncOperation:
-        r"""Updates a DataScan resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_update_data_scan():
-                # Create a client
-                client = dataplex_v1.DataScanServiceAsyncClient()
-
-                # Initialize request argument(s)
-                data_scan = dataplex_v1.DataScan()
-                data_scan.data_quality_spec.rules.dimension = "dimension_value"
-                data_scan.data.entity = "entity_value"
-
-                request = dataplex_v1.UpdateDataScanRequest(
-                    data_scan=data_scan,
-                )
-
-                # Make the request
-                operation = client.update_data_scan(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = (await operation).result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.UpdateDataScanRequest, dict]]):
-                The request object. Update dataScan request.
-            data_scan (:class:`google.cloud.dataplex_v1.types.DataScan`):
-                Required. DataScan resource to be updated.
-
-                Only fields specified in ``update_mask`` are updated.
-
-                This corresponds to the ``data_scan`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`):
-                Required. Mask of fields to update.
-                This corresponds to the ``update_mask`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation_async.AsyncOperation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.DataScan` Represents a user-visible job which provides the insights for the related
-                   data source.
-
-                   For example:
-
-                   -  Data Quality: generates queries based on the rules
-                      and runs against the data to get data quality
-                      check results.
-                   -  Data Profile: analyzes the data in table(s) and
-                      generates insights about the structure, content
-                      and relationships (such as null percent,
-                      cardinality, min/max/mean, etc).
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([data_scan, update_mask])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, datascans.UpdateDataScanRequest):
-            request = datascans.UpdateDataScanRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if data_scan is not None:
-            request.data_scan = data_scan
-        if update_mask is not None:
-            request.update_mask = update_mask
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.update_data_scan]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("data_scan.name", request.data_scan.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation_async.from_gapic(
-            response,
-            self._client._transport.operations_client,
-            datascans.DataScan,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def delete_data_scan(self,
-            request: Optional[Union[datascans.DeleteDataScanRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation_async.AsyncOperation:
-        r"""Deletes a DataScan resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_delete_data_scan():
-                # Create a client
-                client = dataplex_v1.DataScanServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.DeleteDataScanRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                operation = client.delete_data_scan(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = (await operation).result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.DeleteDataScanRequest, dict]]):
-                The request object. Delete dataScan request.
-            name (:class:`str`):
-                Required. The resource name of the dataScan:
-                ``projects/{project}/locations/{location_id}/dataScans/{data_scan_id}``
-                where ``project`` refers to a *project_id* or
-                *project_number* and ``location_id`` refers to a GCP
-                region.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation_async.AsyncOperation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
-                   empty messages in your APIs. A typical example is to
-                   use it as the request or the response type of an API
-                   method. For instance:
-
-                      service Foo {
-                         rpc Bar(google.protobuf.Empty) returns
-                         (google.protobuf.Empty);
-
-                      }
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, datascans.DeleteDataScanRequest):
-            request = datascans.DeleteDataScanRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.delete_data_scan]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation_async.from_gapic(
-            response,
-            self._client._transport.operations_client,
-            empty_pb2.Empty,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def get_data_scan(self,
-            request: Optional[Union[datascans.GetDataScanRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> datascans.DataScan:
-        r"""Gets a DataScan resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_get_data_scan():
-                # Create a client
-                client = dataplex_v1.DataScanServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.GetDataScanRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = await client.get_data_scan(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.GetDataScanRequest, dict]]):
-                The request object. Get dataScan request.
-            name (:class:`str`):
-                Required. The resource name of the dataScan:
-                ``projects/{project}/locations/{location_id}/dataScans/{data_scan_id}``
-                where ``project`` refers to a *project_id* or
-                *project_number* and ``location_id`` refers to a GCP
-                region.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.DataScan:
-                Represents a user-visible job which provides the insights for the related
-                   data source.
-
-                   For example:
-
-                   -  Data Quality: generates queries based on the rules
-                      and runs against the data to get data quality
-                      check results.
-                   -  Data Profile: analyzes the data in table(s) and
-                      generates insights about the structure, content
-                      and relationships (such as null percent,
-                      cardinality, min/max/mean, etc).
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, datascans.GetDataScanRequest):
-            request = datascans.GetDataScanRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.get_data_scan]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def list_data_scans(self,
-            request: Optional[Union[datascans.ListDataScansRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> pagers.ListDataScansAsyncPager:
-        r"""Lists DataScans.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_list_data_scans():
-                # Create a client
-                client = dataplex_v1.DataScanServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.ListDataScansRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_data_scans(request=request)
-
-                # Handle the response
-                async for response in page_result:
-                    print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.ListDataScansRequest, dict]]):
-                The request object. List dataScans request.
-            parent (:class:`str`):
-                Required. The resource name of the parent location:
-                ``projects/{project}/locations/{location_id}`` where
-                ``project`` refers to a *project_id* or *project_number*
-                and ``location_id`` refers to a GCP region.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.services.data_scan_service.pagers.ListDataScansAsyncPager:
-                List dataScans response.
-
-                Iterating over this object will yield
-                results and resolve additional pages
-                automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, datascans.ListDataScansRequest):
-            request = datascans.ListDataScansRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if parent is not None:
-            request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.list_data_scans]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__aiter__` convenience method.
-        response = pagers.ListDataScansAsyncPager(
-            method=rpc,
-            request=request,
-            response=response,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def run_data_scan(self,
-            request: Optional[Union[datascans.RunDataScanRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> datascans.RunDataScanResponse:
-        r"""Runs an on-demand execution of a DataScan
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_run_data_scan():
-                # Create a client
-                client = dataplex_v1.DataScanServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.RunDataScanRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = await client.run_data_scan(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.RunDataScanRequest, dict]]):
-                The request object. Run DataScan Request
-            name (:class:`str`):
-                Required. The resource name of the DataScan:
-                ``projects/{project}/locations/{location_id}/dataScans/{data_scan_id}``.
-                where ``project`` refers to a *project_id* or
-                *project_number* and ``location_id`` refers to a GCP
-                region.
-
-                Only **OnDemand** data scans are allowed.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.RunDataScanResponse:
-                Run DataScan Response.
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, datascans.RunDataScanRequest):
-            request = datascans.RunDataScanRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.run_data_scan]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def get_data_scan_job(self,
-            request: Optional[Union[datascans.GetDataScanJobRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> datascans.DataScanJob:
-        r"""Gets a DataScanJob resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_get_data_scan_job():
-                # Create a client
-                client = dataplex_v1.DataScanServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.GetDataScanJobRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = await client.get_data_scan_job(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.GetDataScanJobRequest, dict]]):
-                The request object. Get DataScanJob request.
-            name (:class:`str`):
-                Required. The resource name of the DataScanJob:
-                ``projects/{project}/locations/{location_id}/dataScans/{data_scan_id}/jobs/{data_scan_job_id}``
-                where ``project`` refers to a *project_id* or
-                *project_number* and ``location_id`` refers to a GCP
-                region.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.DataScanJob:
-                A DataScanJob represents an instance
-                of DataScan execution.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, datascans.GetDataScanJobRequest):
-            request = datascans.GetDataScanJobRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.get_data_scan_job]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def list_data_scan_jobs(self,
-            request: Optional[Union[datascans.ListDataScanJobsRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> pagers.ListDataScanJobsAsyncPager:
-        r"""Lists DataScanJobs under the given DataScan.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_list_data_scan_jobs():
-                # Create a client
-                client = dataplex_v1.DataScanServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.ListDataScanJobsRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_data_scan_jobs(request=request)
-
-                # Handle the response
-                async for response in page_result:
-                    print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.ListDataScanJobsRequest, dict]]):
-                The request object. List DataScanJobs request.
-            parent (:class:`str`):
-                Required. The resource name of the parent environment:
-                ``projects/{project}/locations/{location_id}/dataScans/{data_scan_id}``
-                where ``project`` refers to a *project_id* or
-                *project_number* and ``location_id`` refers to a GCP
-                region.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.services.data_scan_service.pagers.ListDataScanJobsAsyncPager:
-                List DataScanJobs response.
-
-                Iterating over this object will yield
-                results and resolve additional pages
-                automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, datascans.ListDataScanJobsRequest):
-            request = datascans.ListDataScanJobsRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if parent is not None:
-            request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.list_data_scan_jobs]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__aiter__` convenience method.
-        response = pagers.ListDataScanJobsAsyncPager(
-            method=rpc,
-            request=request,
-            response=response,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def generate_data_quality_rules(self,
-            request: Optional[Union[datascans.GenerateDataQualityRulesRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> datascans.GenerateDataQualityRulesResponse:
-        r"""Generates recommended data quality rules based on the
-        results of a data profiling scan.
-
-        Use the recommendations to build rules for a data
-        quality scan.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_generate_data_quality_rules():
-                # Create a client
-                client = dataplex_v1.DataScanServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.GenerateDataQualityRulesRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = await client.generate_data_quality_rules(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.GenerateDataQualityRulesRequest, dict]]):
-                The request object. Request details for generating data
-                quality rule recommendations.
-            name (:class:`str`):
-                Required. The name must be one of the following:
-
-                -  The name of a data scan with at least one successful,
-                   completed data profiling job
-                -  The name of a successful, completed data profiling
-                   job (a data scan job where the job type is data
-                   profiling)
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.GenerateDataQualityRulesResponse:
-                Response details for data quality
-                rule recommendations.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, datascans.GenerateDataQualityRulesRequest):
-            request = datascans.GenerateDataQualityRulesRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.generate_data_quality_rules]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def list_operations(
-        self,
-        request: Optional[operations_pb2.ListOperationsRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operations_pb2.ListOperationsResponse:
-        r"""Lists operations that match the specified filter in the request.
-
-        Args:
-            request (:class:`~.operations_pb2.ListOperationsRequest`):
-                The request object. Request message for
-                `ListOperations` method.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.operations_pb2.ListOperationsResponse:
-                Response message for ``ListOperations`` method.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.ListOperationsRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self.transport._wrapped_methods[self._client._transport.list_operations]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request, retry=retry, timeout=timeout, metadata=metadata,)
-
-        # Done; return the response.
-        return response
-
-    async def get_operation(
-        self,
-        request: Optional[operations_pb2.GetOperationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operations_pb2.Operation:
-        r"""Gets the latest state of a long-running operation.
-
-        Args:
-            request (:class:`~.operations_pb2.GetOperationRequest`):
-                The request object. Request message for
-                `GetOperation` method.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.operations_pb2.Operation:
-                An ``Operation`` object.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.GetOperationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self.transport._wrapped_methods[self._client._transport.get_operation]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request, retry=retry, timeout=timeout, metadata=metadata,)
-
-        # Done; return the response.
-        return response
-
-    async def delete_operation(
-        self,
-        request: Optional[operations_pb2.DeleteOperationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> None:
-        r"""Deletes a long-running operation.
-
-        This method indicates that the client is no longer interested
-        in the operation result. It does not cancel the operation.
-        If the server doesn't support this method, it returns
-        `google.rpc.Code.UNIMPLEMENTED`.
-
-        Args:
-            request (:class:`~.operations_pb2.DeleteOperationRequest`):
-                The request object. Request message for
-                `DeleteOperation` method.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            None
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.DeleteOperationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self.transport._wrapped_methods[self._client._transport.delete_operation]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        await rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
-
-    async def cancel_operation(
-        self,
-        request: Optional[operations_pb2.CancelOperationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> None:
-        r"""Starts asynchronous cancellation on a long-running operation.
-
-        The server makes a best effort to cancel the operation, but success
-        is not guaranteed.  If the server doesn't support this method, it returns
-        `google.rpc.Code.UNIMPLEMENTED`.
-
-        Args:
-            request (:class:`~.operations_pb2.CancelOperationRequest`):
-                The request object. Request message for
-                `CancelOperation` method.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            None
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.CancelOperationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self.transport._wrapped_methods[self._client._transport.cancel_operation]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        await rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
-
-    async def get_location(
-        self,
-        request: Optional[locations_pb2.GetLocationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> locations_pb2.Location:
-        r"""Gets information about a location.
-
-        Args:
-            request (:class:`~.location_pb2.GetLocationRequest`):
-                The request object. Request message for
-                `GetLocation` method.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
-                 if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.location_pb2.Location:
-                Location object.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = locations_pb2.GetLocationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self.transport._wrapped_methods[self._client._transport.get_location]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request, retry=retry, timeout=timeout, metadata=metadata,)
-
-        # Done; return the response.
-        return response
-
-    async def list_locations(
-        self,
-        request: Optional[locations_pb2.ListLocationsRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> locations_pb2.ListLocationsResponse:
-        r"""Lists information about the supported locations for this service.
-
-        Args:
-            request (:class:`~.location_pb2.ListLocationsRequest`):
-                The request object. Request message for
-                `ListLocations` method.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
-                 if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.location_pb2.ListLocationsResponse:
-                Response message for ``ListLocations`` method.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = locations_pb2.ListLocationsRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self.transport._wrapped_methods[self._client._transport.list_locations]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request, retry=retry, timeout=timeout, metadata=metadata,)
-
-        # Done; return the response.
-        return response
-
-    async def __aenter__(self) -> "DataScanServiceAsyncClient":
-        return self
-
-    async def __aexit__(self, exc_type, exc, tb):
-        await self.transport.close()
-
-DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(gapic_version=package_version.__version__)
-
-
-__all__ = (
-    "DataScanServiceAsyncClient",
-)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_scan_service/client.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_scan_service/client.py
deleted file mode 100644
index 750cb340c2d1..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_scan_service/client.py
+++ /dev/null
@@ -1,2015 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from collections import OrderedDict
-import os
-import re
-from typing import Dict, Callable, Mapping, MutableMapping, MutableSequence, Optional, Sequence, Tuple, Type, Union, cast
-import warnings
-
-from google.cloud.dataplex_v1 import gapic_version as package_version
-
-from google.api_core import client_options as client_options_lib
-from google.api_core import exceptions as core_exceptions
-from google.api_core import gapic_v1
-from google.api_core import retry as retries
-from google.auth import credentials as ga_credentials             # type: ignore
-from google.auth.transport import mtls                            # type: ignore
-from google.auth.transport.grpc import SslCredentials             # type: ignore
-from google.auth.exceptions import MutualTLSChannelError          # type: ignore
-from google.oauth2 import service_account                         # type: ignore
-
-try:
-    OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None]
-except AttributeError:  # pragma: NO COVER
-    OptionalRetry = Union[retries.Retry, object, None]  # type: ignore
-
-from google.api_core import operation  # type: ignore
-from google.api_core import operation_async  # type: ignore
-from google.cloud.dataplex_v1.services.data_scan_service import pagers
-from google.cloud.dataplex_v1.types import data_discovery
-from google.cloud.dataplex_v1.types import data_profile
-from google.cloud.dataplex_v1.types import data_quality
-from google.cloud.dataplex_v1.types import datascans
-from google.cloud.dataplex_v1.types import processing
-from google.cloud.dataplex_v1.types import resources
-from google.cloud.dataplex_v1.types import service
-from google.cloud.location import locations_pb2 # type: ignore
-from google.iam.v1 import iam_policy_pb2  # type: ignore
-from google.iam.v1 import policy_pb2  # type: ignore
-from google.longrunning import operations_pb2 # type: ignore
-from google.protobuf import empty_pb2  # type: ignore
-from google.protobuf import field_mask_pb2  # type: ignore
-from google.protobuf import timestamp_pb2  # type: ignore
-from .transports.base import DataScanServiceTransport, DEFAULT_CLIENT_INFO
-from .transports.grpc import DataScanServiceGrpcTransport
-from .transports.grpc_asyncio import DataScanServiceGrpcAsyncIOTransport
-
-
-class DataScanServiceClientMeta(type):
-    """Metaclass for the DataScanService client.
-
-    This provides class-level methods for building and retrieving
-    support objects (e.g. transport) without polluting the client instance
-    objects.
-    """
-    _transport_registry = OrderedDict()  # type: Dict[str, Type[DataScanServiceTransport]]
-    _transport_registry["grpc"] = DataScanServiceGrpcTransport
-    _transport_registry["grpc_asyncio"] = DataScanServiceGrpcAsyncIOTransport
-
-    def get_transport_class(cls,
-            label: Optional[str] = None,
-        ) -> Type[DataScanServiceTransport]:
-        """Returns an appropriate transport class.
-
-        Args:
-            label: The name of the desired transport. If none is
-                provided, then the first transport in the registry is used.
-
-        Returns:
-            The transport class to use.
-        """
-        # If a specific transport is requested, return that one.
-        if label:
-            return cls._transport_registry[label]
-
-        # No transport is requested; return the default (that is, the first one
-        # in the dictionary).
-        return next(iter(cls._transport_registry.values()))
-
-
-class DataScanServiceClient(metaclass=DataScanServiceClientMeta):
-    """DataScanService manages DataScan resources which can be
-    configured to run various types of data scanning workload and
-    generate enriched metadata (e.g. Data Profile, Data Quality) for
-    the data source.
-    """
-
-    @staticmethod
-    def _get_default_mtls_endpoint(api_endpoint):
-        """Converts api endpoint to mTLS endpoint.
-
-        Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to
-        "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively.
-        Args:
-            api_endpoint (Optional[str]): the api endpoint to convert.
-        Returns:
-            str: converted mTLS api endpoint.
-        """
-        if not api_endpoint:
-            return api_endpoint
-
-        mtls_endpoint_re = re.compile(
-            r"(?P<name>[^.]+)(?P<mtls>\.mtls)?(?P<sandbox>\.sandbox)?(?P<googledomain>\.googleapis\.com)?"
-        )
-
-        m = mtls_endpoint_re.match(api_endpoint)
-        name, mtls, sandbox, googledomain = m.groups()
-        if mtls or not googledomain:
-            return api_endpoint
-
-        if sandbox:
-            return api_endpoint.replace(
-                "sandbox.googleapis.com", "mtls.sandbox.googleapis.com"
-            )
-
-        return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com")
-
-    # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead.
-    DEFAULT_ENDPOINT = "dataplex.googleapis.com"
-    DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__(  # type: ignore
-        DEFAULT_ENDPOINT
-    )
-
-    _DEFAULT_ENDPOINT_TEMPLATE = "dataplex.{UNIVERSE_DOMAIN}"
-    _DEFAULT_UNIVERSE = "googleapis.com"
-
-    @classmethod
-    def from_service_account_info(cls, info: dict, *args, **kwargs):
-        """Creates an instance of this client using the provided credentials
-            info.
-
-        Args:
-            info (dict): The service account private key info.
-            args: Additional arguments to pass to the constructor.
-            kwargs: Additional arguments to pass to the constructor.
-
-        Returns:
-            DataScanServiceClient: The constructed client.
-        """
-        credentials = service_account.Credentials.from_service_account_info(info)
-        kwargs["credentials"] = credentials
-        return cls(*args, **kwargs)
-
-    @classmethod
-    def from_service_account_file(cls, filename: str, *args, **kwargs):
-        """Creates an instance of this client using the provided credentials
-            file.
-
-        Args:
-            filename (str): The path to the service account private key json
-                file.
-            args: Additional arguments to pass to the constructor.
-            kwargs: Additional arguments to pass to the constructor.
-
-        Returns:
-            DataScanServiceClient: The constructed client.
-        """
-        credentials = service_account.Credentials.from_service_account_file(
-            filename)
-        kwargs["credentials"] = credentials
-        return cls(*args, **kwargs)
-
-    from_service_account_json = from_service_account_file
-
-    @property
-    def transport(self) -> DataScanServiceTransport:
-        """Returns the transport used by the client instance.
-
-        Returns:
-            DataScanServiceTransport: The transport used by the client
-                instance.
-        """
-        return self._transport
-
-    @staticmethod
-    def connection_path(project: str,location: str,connection: str,) -> str:
-        """Returns a fully-qualified connection string."""
-        return "projects/{project}/locations/{location}/connections/{connection}".format(project=project, location=location, connection=connection, )
-
-    @staticmethod
-    def parse_connection_path(path: str) -> Dict[str,str]:
-        """Parses a connection path into its component segments."""
-        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/connections/(?P<connection>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def data_scan_path(project: str,location: str,dataScan: str,) -> str:
-        """Returns a fully-qualified data_scan string."""
-        return "projects/{project}/locations/{location}/dataScans/{dataScan}".format(project=project, location=location, dataScan=dataScan, )
-
-    @staticmethod
-    def parse_data_scan_path(path: str) -> Dict[str,str]:
-        """Parses a data_scan path into its component segments."""
-        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/dataScans/(?P<dataScan>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def data_scan_job_path(project: str,location: str,dataScan: str,job: str,) -> str:
-        """Returns a fully-qualified data_scan_job string."""
-        return "projects/{project}/locations/{location}/dataScans/{dataScan}/jobs/{job}".format(project=project, location=location, dataScan=dataScan, job=job, )
-
-    @staticmethod
-    def parse_data_scan_job_path(path: str) -> Dict[str,str]:
-        """Parses a data_scan_job path into its component segments."""
-        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/dataScans/(?P<dataScan>.+?)/jobs/(?P<job>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def dataset_path(project: str,dataset: str,) -> str:
-        """Returns a fully-qualified dataset string."""
-        return "projects/{project}/datasets/{dataset}".format(project=project, dataset=dataset, )
-
-    @staticmethod
-    def parse_dataset_path(path: str) -> Dict[str,str]:
-        """Parses a dataset path into its component segments."""
-        m = re.match(r"^projects/(?P<project>.+?)/datasets/(?P<dataset>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def entity_path(project: str,location: str,lake: str,zone: str,entity: str,) -> str:
-        """Returns a fully-qualified entity string."""
-        return "projects/{project}/locations/{location}/lakes/{lake}/zones/{zone}/entities/{entity}".format(project=project, location=location, lake=lake, zone=zone, entity=entity, )
-
-    @staticmethod
-    def parse_entity_path(path: str) -> Dict[str,str]:
-        """Parses a entity path into its component segments."""
-        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/lakes/(?P<lake>.+?)/zones/(?P<zone>.+?)/entities/(?P<entity>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def common_billing_account_path(billing_account: str, ) -> str:
-        """Returns a fully-qualified billing_account string."""
-        return "billingAccounts/{billing_account}".format(billing_account=billing_account, )
-
-    @staticmethod
-    def parse_common_billing_account_path(path: str) -> Dict[str,str]:
-        """Parse a billing_account path into its component segments."""
-        m = re.match(r"^billingAccounts/(?P<billing_account>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def common_folder_path(folder: str, ) -> str:
-        """Returns a fully-qualified folder string."""
-        return "folders/{folder}".format(folder=folder, )
-
-    @staticmethod
-    def parse_common_folder_path(path: str) -> Dict[str,str]:
-        """Parse a folder path into its component segments."""
-        m = re.match(r"^folders/(?P<folder>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def common_organization_path(organization: str, ) -> str:
-        """Returns a fully-qualified organization string."""
-        return "organizations/{organization}".format(organization=organization, )
-
-    @staticmethod
-    def parse_common_organization_path(path: str) -> Dict[str,str]:
-        """Parse a organization path into its component segments."""
-        m = re.match(r"^organizations/(?P<organization>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def common_project_path(project: str, ) -> str:
-        """Returns a fully-qualified project string."""
-        return "projects/{project}".format(project=project, )
-
-    @staticmethod
-    def parse_common_project_path(path: str) -> Dict[str,str]:
-        """Parse a project path into its component segments."""
-        m = re.match(r"^projects/(?P<project>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def common_location_path(project: str, location: str, ) -> str:
-        """Returns a fully-qualified location string."""
-        return "projects/{project}/locations/{location}".format(project=project, location=location, )
-
-    @staticmethod
-    def parse_common_location_path(path: str) -> Dict[str,str]:
-        """Parse a location path into its component segments."""
-        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @classmethod
-    def get_mtls_endpoint_and_cert_source(cls, client_options: Optional[client_options_lib.ClientOptions] = None):
-        """Deprecated. Return the API endpoint and client cert source for mutual TLS.
-
-        The client cert source is determined in the following order:
-        (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the
-        client cert source is None.
-        (2) if `client_options.client_cert_source` is provided, use the provided one; if the
-        default client cert source exists, use the default one; otherwise the client cert
-        source is None.
-
-        The API endpoint is determined in the following order:
-        (1) if `client_options.api_endpoint` if provided, use the provided one.
-        (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the
-        default mTLS endpoint; if the environment variable is "never", use the default API
-        endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise
-        use the default API endpoint.
-
-        More details can be found at https://google.aip.dev/auth/4114.
-
-        Args:
-            client_options (google.api_core.client_options.ClientOptions): Custom options for the
-                client. Only the `api_endpoint` and `client_cert_source` properties may be used
-                in this method.
-
-        Returns:
-            Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the
-                client cert source to use.
-
-        Raises:
-            google.auth.exceptions.MutualTLSChannelError: If any errors happen.
-        """
-
-        warnings.warn("get_mtls_endpoint_and_cert_source is deprecated. Use the api_endpoint property instead.",
-            DeprecationWarning)
-        if client_options is None:
-            client_options = client_options_lib.ClientOptions()
-        use_client_cert = os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false")
-        use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto")
-        if use_client_cert not in ("true", "false"):
-            raise ValueError("Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`")
-        if use_mtls_endpoint not in ("auto", "never", "always"):
-            raise MutualTLSChannelError("Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`")
-
-        # Figure out the client cert source to use.
-        client_cert_source = None
-        if use_client_cert == "true":
-            if client_options.client_cert_source:
-                client_cert_source = client_options.client_cert_source
-            elif mtls.has_default_client_cert_source():
-                client_cert_source = mtls.default_client_cert_source()
-
-        # Figure out which api endpoint to use.
-        if client_options.api_endpoint is not None:
-            api_endpoint = client_options.api_endpoint
-        elif use_mtls_endpoint == "always" or (use_mtls_endpoint == "auto" and client_cert_source):
-            api_endpoint = cls.DEFAULT_MTLS_ENDPOINT
-        else:
-            api_endpoint = cls.DEFAULT_ENDPOINT
-
-        return api_endpoint, client_cert_source
-
-    @staticmethod
-    def _read_environment_variables():
-        """Returns the environment variables used by the client.
-
-        Returns:
-            Tuple[bool, str, str]: returns the GOOGLE_API_USE_CLIENT_CERTIFICATE,
-            GOOGLE_API_USE_MTLS_ENDPOINT, and GOOGLE_CLOUD_UNIVERSE_DOMAIN environment variables.
-
-        Raises:
-            ValueError: If GOOGLE_API_USE_CLIENT_CERTIFICATE is not
-                any of ["true", "false"].
-            google.auth.exceptions.MutualTLSChannelError: If GOOGLE_API_USE_MTLS_ENDPOINT
-                is not any of ["auto", "never", "always"].
-        """
-        use_client_cert = os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false").lower()
-        use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto").lower()
-        universe_domain_env = os.getenv("GOOGLE_CLOUD_UNIVERSE_DOMAIN")
-        if use_client_cert not in ("true", "false"):
-            raise ValueError("Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`")
-        if use_mtls_endpoint not in ("auto", "never", "always"):
-            raise MutualTLSChannelError("Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`")
-        return use_client_cert == "true", use_mtls_endpoint, universe_domain_env
-
-    @staticmethod
-    def _get_client_cert_source(provided_cert_source, use_cert_flag):
-        """Return the client cert source to be used by the client.
-
-        Args:
-            provided_cert_source (bytes): The client certificate source provided.
-            use_cert_flag (bool): A flag indicating whether to use the client certificate.
-
-        Returns:
-            bytes or None: The client cert source to be used by the client.
-        """
-        client_cert_source = None
-        if use_cert_flag:
-            if provided_cert_source:
-                client_cert_source = provided_cert_source
-            elif mtls.has_default_client_cert_source():
-                client_cert_source = mtls.default_client_cert_source()
-        return client_cert_source
-
-    @staticmethod
-    def _get_api_endpoint(api_override, client_cert_source, universe_domain, use_mtls_endpoint):
-        """Return the API endpoint used by the client.
-
-        Args:
-            api_override (str): The API endpoint override. If specified, this is always
-                the return value of this function and the other arguments are not used.
-            client_cert_source (bytes): The client certificate source used by the client.
-            universe_domain (str): The universe domain used by the client.
-            use_mtls_endpoint (str): How to use the mTLS endpoint, which depends also on the other parameters.
-                Possible values are "always", "auto", or "never".
-
-        Returns:
-            str: The API endpoint to be used by the client.
-        """
-        if api_override is not None:
-            api_endpoint = api_override
-        elif use_mtls_endpoint == "always" or (use_mtls_endpoint == "auto" and client_cert_source):
-            _default_universe = DataScanServiceClient._DEFAULT_UNIVERSE
-            if universe_domain != _default_universe:
-                raise MutualTLSChannelError(f"mTLS is not supported in any universe other than {_default_universe}.")
-            api_endpoint = DataScanServiceClient.DEFAULT_MTLS_ENDPOINT
-        else:
-            api_endpoint = DataScanServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=universe_domain)
-        return api_endpoint
-
-    @staticmethod
-    def _get_universe_domain(client_universe_domain: Optional[str], universe_domain_env: Optional[str]) -> str:
-        """Return the universe domain used by the client.
-
-        Args:
-            client_universe_domain (Optional[str]): The universe domain configured via the client options.
-            universe_domain_env (Optional[str]): The universe domain configured via the "GOOGLE_CLOUD_UNIVERSE_DOMAIN" environment variable.
-
-        Returns:
-            str: The universe domain to be used by the client.
-
-        Raises:
-            ValueError: If the universe domain is an empty string.
-        """
-        universe_domain = DataScanServiceClient._DEFAULT_UNIVERSE
-        if client_universe_domain is not None:
-            universe_domain = client_universe_domain
-        elif universe_domain_env is not None:
-            universe_domain = universe_domain_env
-        if len(universe_domain.strip()) == 0:
-            raise ValueError("Universe Domain cannot be an empty string.")
-        return universe_domain
-
-    def _validate_universe_domain(self):
-        """Validates client's and credentials' universe domains are consistent.
-
-        Returns:
-            bool: True iff the configured universe domain is valid.
-
-        Raises:
-            ValueError: If the configured universe domain is not valid.
-        """
-
-        # NOTE (b/349488459): universe validation is disabled until further notice.
-        return True
-
-    @property
-    def api_endpoint(self):
-        """Return the API endpoint used by the client instance.
-
-        Returns:
-            str: The API endpoint used by the client instance.
-        """
-        return self._api_endpoint
-
-    @property
-    def universe_domain(self) -> str:
-        """Return the universe domain used by the client instance.
-
-        Returns:
-            str: The universe domain used by the client instance.
-        """
-        return self._universe_domain
-
-    def __init__(self, *,
-            credentials: Optional[ga_credentials.Credentials] = None,
-            transport: Optional[Union[str, DataScanServiceTransport, Callable[..., DataScanServiceTransport]]] = None,
-            client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None,
-            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-            ) -> None:
-        """Instantiates the data scan service client.
-
-        Args:
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-            transport (Optional[Union[str,DataScanServiceTransport,Callable[..., DataScanServiceTransport]]]):
-                The transport to use, or a Callable that constructs and returns a new transport.
-                If a Callable is given, it will be called with the same set of initialization
-                arguments as used in the DataScanServiceTransport constructor.
-                If set to None, a transport is chosen automatically.
-            client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]):
-                Custom options for the client.
-
-                1. The ``api_endpoint`` property can be used to override the
-                default endpoint provided by the client when ``transport`` is
-                not explicitly provided. Only if this property is not set and
-                ``transport`` was not explicitly provided, the endpoint is
-                determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment
-                variable, which have one of the following values:
-                "always" (always use the default mTLS endpoint), "never" (always
-                use the default regular endpoint) and "auto" (auto-switch to the
-                default mTLS endpoint if client certificate is present; this is
-                the default value).
-
-                2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable
-                is "true", then the ``client_cert_source`` property can be used
-                to provide a client certificate for mTLS transport. If
-                not provided, the default SSL client certificate will be used if
-                present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not
-                set, no client certificate will be used.
-
-                3. The ``universe_domain`` property can be used to override the
-                default "googleapis.com" universe. Note that the ``api_endpoint``
-                property still takes precedence; and ``universe_domain`` is
-                currently not supported for mTLS.
-
-            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
-                The client info used to send a user-agent string along with
-                API requests. If ``None``, then default info will be used.
-                Generally, you only need to set this if you're developing
-                your own client library.
-
-        Raises:
-            google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport
-                creation failed for any reason.
-        """
-        self._client_options = client_options
-        if isinstance(self._client_options, dict):
-            self._client_options = client_options_lib.from_dict(self._client_options)
-        if self._client_options is None:
-            self._client_options = client_options_lib.ClientOptions()
-        self._client_options = cast(client_options_lib.ClientOptions, self._client_options)
-
-        universe_domain_opt = getattr(self._client_options, 'universe_domain', None)
-
-        self._use_client_cert, self._use_mtls_endpoint, self._universe_domain_env = DataScanServiceClient._read_environment_variables()
-        self._client_cert_source = DataScanServiceClient._get_client_cert_source(self._client_options.client_cert_source, self._use_client_cert)
-        self._universe_domain = DataScanServiceClient._get_universe_domain(universe_domain_opt, self._universe_domain_env)
-        self._api_endpoint = None # updated below, depending on `transport`
-
-        # Initialize the universe domain validation.
-        self._is_universe_domain_valid = False
-
-        api_key_value = getattr(self._client_options, "api_key", None)
-        if api_key_value and credentials:
-            raise ValueError("client_options.api_key and credentials are mutually exclusive")
-
-        # Save or instantiate the transport.
-        # Ordinarily, we provide the transport, but allowing a custom transport
-        # instance provides an extensibility point for unusual situations.
-        transport_provided = isinstance(transport, DataScanServiceTransport)
-        if transport_provided:
-            # transport is a DataScanServiceTransport instance.
-            if credentials or self._client_options.credentials_file or api_key_value:
-                raise ValueError("When providing a transport instance, "
-                                 "provide its credentials directly.")
-            if self._client_options.scopes:
-                raise ValueError(
-                    "When providing a transport instance, provide its scopes "
-                    "directly."
-                )
-            self._transport = cast(DataScanServiceTransport, transport)
-            self._api_endpoint = self._transport.host
-
-        self._api_endpoint = (self._api_endpoint or
-            DataScanServiceClient._get_api_endpoint(
-                self._client_options.api_endpoint,
-                self._client_cert_source,
-                self._universe_domain,
-                self._use_mtls_endpoint))
-
-        if not transport_provided:
-            import google.auth._default  # type: ignore
-
-            if api_key_value and hasattr(google.auth._default, "get_api_key_credentials"):
-                credentials = google.auth._default.get_api_key_credentials(api_key_value)
-
-            transport_init: Union[Type[DataScanServiceTransport], Callable[..., DataScanServiceTransport]] = (
-                DataScanServiceClient.get_transport_class(transport)
-                if isinstance(transport, str) or transport is None
-                else cast(Callable[..., DataScanServiceTransport], transport)
-            )
-            # initialize with the provided callable or the passed in class
-            self._transport = transport_init(
-                credentials=credentials,
-                credentials_file=self._client_options.credentials_file,
-                host=self._api_endpoint,
-                scopes=self._client_options.scopes,
-                client_cert_source_for_mtls=self._client_cert_source,
-                quota_project_id=self._client_options.quota_project_id,
-                client_info=client_info,
-                always_use_jwt_access=True,
-                api_audience=self._client_options.api_audience,
-            )
-
-    def create_data_scan(self,
-            request: Optional[Union[datascans.CreateDataScanRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            data_scan: Optional[datascans.DataScan] = None,
-            data_scan_id: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation.Operation:
-        r"""Creates a DataScan resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_create_data_scan():
-                # Create a client
-                client = dataplex_v1.DataScanServiceClient()
-
-                # Initialize request argument(s)
-                data_scan = dataplex_v1.DataScan()
-                data_scan.data_quality_spec.rules.dimension = "dimension_value"
-                data_scan.data.entity = "entity_value"
-
-                request = dataplex_v1.CreateDataScanRequest(
-                    parent="parent_value",
-                    data_scan=data_scan,
-                    data_scan_id="data_scan_id_value",
-                )
-
-                # Make the request
-                operation = client.create_data_scan(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = operation.result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.CreateDataScanRequest, dict]):
-                The request object. Create dataScan request.
-            parent (str):
-                Required. The resource name of the parent location:
-                ``projects/{project}/locations/{location_id}`` where
-                ``project`` refers to a *project_id* or *project_number*
-                and ``location_id`` refers to a GCP region.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            data_scan (google.cloud.dataplex_v1.types.DataScan):
-                Required. DataScan resource.
-                This corresponds to the ``data_scan`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            data_scan_id (str):
-                Required. DataScan identifier.
-
-                -  Must contain only lowercase letters, numbers and
-                   hyphens.
-                -  Must start with a letter.
-                -  Must end with a number or a letter.
-                -  Must be between 1-63 characters.
-                -  Must be unique within the customer project /
-                   location.
-
-                This corresponds to the ``data_scan_id`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation.Operation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.DataScan` Represents a user-visible job which provides the insights for the related
-                   data source.
-
-                   For example:
-
-                   -  Data Quality: generates queries based on the rules
-                      and runs against the data to get data quality
-                      check results.
-                   -  Data Profile: analyzes the data in table(s) and
-                      generates insights about the structure, content
-                      and relationships (such as null percent,
-                      cardinality, min/max/mean, etc).
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent, data_scan, data_scan_id])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, datascans.CreateDataScanRequest):
-            request = datascans.CreateDataScanRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if parent is not None:
-                request.parent = parent
-            if data_scan is not None:
-                request.data_scan = data_scan
-            if data_scan_id is not None:
-                request.data_scan_id = data_scan_id
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.create_data_scan]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation.from_gapic(
-            response,
-            self._transport.operations_client,
-            datascans.DataScan,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def update_data_scan(self,
-            request: Optional[Union[datascans.UpdateDataScanRequest, dict]] = None,
-            *,
-            data_scan: Optional[datascans.DataScan] = None,
-            update_mask: Optional[field_mask_pb2.FieldMask] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation.Operation:
-        r"""Updates a DataScan resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_update_data_scan():
-                # Create a client
-                client = dataplex_v1.DataScanServiceClient()
-
-                # Initialize request argument(s)
-                data_scan = dataplex_v1.DataScan()
-                data_scan.data_quality_spec.rules.dimension = "dimension_value"
-                data_scan.data.entity = "entity_value"
-
-                request = dataplex_v1.UpdateDataScanRequest(
-                    data_scan=data_scan,
-                )
-
-                # Make the request
-                operation = client.update_data_scan(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = operation.result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.UpdateDataScanRequest, dict]):
-                The request object. Update dataScan request.
-            data_scan (google.cloud.dataplex_v1.types.DataScan):
-                Required. DataScan resource to be updated.
-
-                Only fields specified in ``update_mask`` are updated.
-
-                This corresponds to the ``data_scan`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            update_mask (google.protobuf.field_mask_pb2.FieldMask):
-                Required. Mask of fields to update.
-                This corresponds to the ``update_mask`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation.Operation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.DataScan` Represents a user-visible job which provides the insights for the related
-                   data source.
-
-                   For example:
-
-                   -  Data Quality: generates queries based on the rules
-                      and runs against the data to get data quality
-                      check results.
-                   -  Data Profile: analyzes the data in table(s) and
-                      generates insights about the structure, content
-                      and relationships (such as null percent,
-                      cardinality, min/max/mean, etc).
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([data_scan, update_mask])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, datascans.UpdateDataScanRequest):
-            request = datascans.UpdateDataScanRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if data_scan is not None:
-                request.data_scan = data_scan
-            if update_mask is not None:
-                request.update_mask = update_mask
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.update_data_scan]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("data_scan.name", request.data_scan.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation.from_gapic(
-            response,
-            self._transport.operations_client,
-            datascans.DataScan,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def delete_data_scan(self,
-            request: Optional[Union[datascans.DeleteDataScanRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation.Operation:
-        r"""Deletes a DataScan resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_delete_data_scan():
-                # Create a client
-                client = dataplex_v1.DataScanServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.DeleteDataScanRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                operation = client.delete_data_scan(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = operation.result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.DeleteDataScanRequest, dict]):
-                The request object. Delete dataScan request.
-            name (str):
-                Required. The resource name of the dataScan:
-                ``projects/{project}/locations/{location_id}/dataScans/{data_scan_id}``
-                where ``project`` refers to a *project_id* or
-                *project_number* and ``location_id`` refers to a GCP
-                region.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation.Operation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
-                   empty messages in your APIs. A typical example is to
-                   use it as the request or the response type of an API
-                   method. For instance:
-
-                      service Foo {
-                         rpc Bar(google.protobuf.Empty) returns
-                         (google.protobuf.Empty);
-
-                      }
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, datascans.DeleteDataScanRequest):
-            request = datascans.DeleteDataScanRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.delete_data_scan]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation.from_gapic(
-            response,
-            self._transport.operations_client,
-            empty_pb2.Empty,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def get_data_scan(self,
-            request: Optional[Union[datascans.GetDataScanRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> datascans.DataScan:
-        r"""Gets a DataScan resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_get_data_scan():
-                # Create a client
-                client = dataplex_v1.DataScanServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.GetDataScanRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = client.get_data_scan(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.GetDataScanRequest, dict]):
-                The request object. Get dataScan request.
-            name (str):
-                Required. The resource name of the dataScan:
-                ``projects/{project}/locations/{location_id}/dataScans/{data_scan_id}``
-                where ``project`` refers to a *project_id* or
-                *project_number* and ``location_id`` refers to a GCP
-                region.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.DataScan:
-                Represents a user-visible job which provides the insights for the related
-                   data source.
-
-                   For example:
-
-                   -  Data Quality: generates queries based on the rules
-                      and runs against the data to get data quality
-                      check results.
-                   -  Data Profile: analyzes the data in table(s) and
-                      generates insights about the structure, content
-                      and relationships (such as null percent,
-                      cardinality, min/max/mean, etc).
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, datascans.GetDataScanRequest):
-            request = datascans.GetDataScanRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.get_data_scan]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def list_data_scans(self,
-            request: Optional[Union[datascans.ListDataScansRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> pagers.ListDataScansPager:
-        r"""Lists DataScans.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_list_data_scans():
-                # Create a client
-                client = dataplex_v1.DataScanServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.ListDataScansRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_data_scans(request=request)
-
-                # Handle the response
-                for response in page_result:
-                    print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.ListDataScansRequest, dict]):
-                The request object. List dataScans request.
-            parent (str):
-                Required. The resource name of the parent location:
-                ``projects/{project}/locations/{location_id}`` where
-                ``project`` refers to a *project_id* or *project_number*
-                and ``location_id`` refers to a GCP region.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.services.data_scan_service.pagers.ListDataScansPager:
-                List dataScans response.
-
-                Iterating over this object will yield
-                results and resolve additional pages
-                automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, datascans.ListDataScansRequest):
-            request = datascans.ListDataScansRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if parent is not None:
-                request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.list_data_scans]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__iter__` convenience method.
-        response = pagers.ListDataScansPager(
-            method=rpc,
-            request=request,
-            response=response,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def run_data_scan(self,
-            request: Optional[Union[datascans.RunDataScanRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> datascans.RunDataScanResponse:
-        r"""Runs an on-demand execution of a DataScan
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_run_data_scan():
-                # Create a client
-                client = dataplex_v1.DataScanServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.RunDataScanRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = client.run_data_scan(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.RunDataScanRequest, dict]):
-                The request object. Run DataScan Request
-            name (str):
-                Required. The resource name of the DataScan:
-                ``projects/{project}/locations/{location_id}/dataScans/{data_scan_id}``.
-                where ``project`` refers to a *project_id* or
-                *project_number* and ``location_id`` refers to a GCP
-                region.
-
-                Only **OnDemand** data scans are allowed.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.RunDataScanResponse:
-                Run DataScan Response.
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, datascans.RunDataScanRequest):
-            request = datascans.RunDataScanRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.run_data_scan]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def get_data_scan_job(self,
-            request: Optional[Union[datascans.GetDataScanJobRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> datascans.DataScanJob:
-        r"""Gets a DataScanJob resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_get_data_scan_job():
-                # Create a client
-                client = dataplex_v1.DataScanServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.GetDataScanJobRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = client.get_data_scan_job(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.GetDataScanJobRequest, dict]):
-                The request object. Get DataScanJob request.
-            name (str):
-                Required. The resource name of the DataScanJob:
-                ``projects/{project}/locations/{location_id}/dataScans/{data_scan_id}/jobs/{data_scan_job_id}``
-                where ``project`` refers to a *project_id* or
-                *project_number* and ``location_id`` refers to a GCP
-                region.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.DataScanJob:
-                A DataScanJob represents an instance
-                of DataScan execution.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, datascans.GetDataScanJobRequest):
-            request = datascans.GetDataScanJobRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.get_data_scan_job]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def list_data_scan_jobs(self,
-            request: Optional[Union[datascans.ListDataScanJobsRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> pagers.ListDataScanJobsPager:
-        r"""Lists DataScanJobs under the given DataScan.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_list_data_scan_jobs():
-                # Create a client
-                client = dataplex_v1.DataScanServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.ListDataScanJobsRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_data_scan_jobs(request=request)
-
-                # Handle the response
-                for response in page_result:
-                    print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.ListDataScanJobsRequest, dict]):
-                The request object. List DataScanJobs request.
-            parent (str):
-                Required. The resource name of the parent environment:
-                ``projects/{project}/locations/{location_id}/dataScans/{data_scan_id}``
-                where ``project`` refers to a *project_id* or
-                *project_number* and ``location_id`` refers to a GCP
-                region.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.services.data_scan_service.pagers.ListDataScanJobsPager:
-                List DataScanJobs response.
-
-                Iterating over this object will yield
-                results and resolve additional pages
-                automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, datascans.ListDataScanJobsRequest):
-            request = datascans.ListDataScanJobsRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if parent is not None:
-                request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.list_data_scan_jobs]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__iter__` convenience method.
-        response = pagers.ListDataScanJobsPager(
-            method=rpc,
-            request=request,
-            response=response,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def generate_data_quality_rules(self,
-            request: Optional[Union[datascans.GenerateDataQualityRulesRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> datascans.GenerateDataQualityRulesResponse:
-        r"""Generates recommended data quality rules based on the
-        results of a data profiling scan.
-
-        Use the recommendations to build rules for a data
-        quality scan.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_generate_data_quality_rules():
-                # Create a client
-                client = dataplex_v1.DataScanServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.GenerateDataQualityRulesRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = client.generate_data_quality_rules(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.GenerateDataQualityRulesRequest, dict]):
-                The request object. Request details for generating data
-                quality rule recommendations.
-            name (str):
-                Required. The name must be one of the following:
-
-                -  The name of a data scan with at least one successful,
-                   completed data profiling job
-                -  The name of a successful, completed data profiling
-                   job (a data scan job where the job type is data
-                   profiling)
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.GenerateDataQualityRulesResponse:
-                Response details for data quality
-                rule recommendations.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, datascans.GenerateDataQualityRulesRequest):
-            request = datascans.GenerateDataQualityRulesRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.generate_data_quality_rules]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def __enter__(self) -> "DataScanServiceClient":
-        return self
-
-    def __exit__(self, type, value, traceback):
-        """Releases underlying transport's resources.
-
-        .. warning::
-            ONLY use as a context manager if the transport is NOT shared
-            with other clients! Exiting the with block will CLOSE the transport
-            and may cause errors in other clients!
-        """
-        self.transport.close()
-
-    def list_operations(
-        self,
-        request: Optional[operations_pb2.ListOperationsRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operations_pb2.ListOperationsResponse:
-        r"""Lists operations that match the specified filter in the request.
-
-        Args:
-            request (:class:`~.operations_pb2.ListOperationsRequest`):
-                The request object. Request message for
-                `ListOperations` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.operations_pb2.ListOperationsResponse:
-                Response message for ``ListOperations`` method.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.ListOperationsRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.list_operations]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request, retry=retry, timeout=timeout, metadata=metadata,)
-
-        # Done; return the response.
-        return response
-
-    def get_operation(
-        self,
-        request: Optional[operations_pb2.GetOperationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operations_pb2.Operation:
-        r"""Gets the latest state of a long-running operation.
-
-        Args:
-            request (:class:`~.operations_pb2.GetOperationRequest`):
-                The request object. Request message for
-                `GetOperation` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.operations_pb2.Operation:
-                An ``Operation`` object.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.GetOperationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.get_operation]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request, retry=retry, timeout=timeout, metadata=metadata,)
-
-        # Done; return the response.
-        return response
-
-    def delete_operation(
-        self,
-        request: Optional[operations_pb2.DeleteOperationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> None:
-        r"""Deletes a long-running operation.
-
-        This method indicates that the client is no longer interested
-        in the operation result. It does not cancel the operation.
-        If the server doesn't support this method, it returns
-        `google.rpc.Code.UNIMPLEMENTED`.
-
-        Args:
-            request (:class:`~.operations_pb2.DeleteOperationRequest`):
-                The request object. Request message for
-                `DeleteOperation` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            None
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.DeleteOperationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.delete_operation]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
-
-    def cancel_operation(
-        self,
-        request: Optional[operations_pb2.CancelOperationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> None:
-        r"""Starts asynchronous cancellation on a long-running operation.
-
-        The server makes a best effort to cancel the operation, but success
-        is not guaranteed.  If the server doesn't support this method, it returns
-        `google.rpc.Code.UNIMPLEMENTED`.
-
-        Args:
-            request (:class:`~.operations_pb2.CancelOperationRequest`):
-                The request object. Request message for
-                `CancelOperation` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            None
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.CancelOperationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.cancel_operation]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
-
-    def get_location(
-        self,
-        request: Optional[locations_pb2.GetLocationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> locations_pb2.Location:
-        r"""Gets information about a location.
-
-        Args:
-            request (:class:`~.location_pb2.GetLocationRequest`):
-                The request object. Request message for
-                `GetLocation` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                 if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.location_pb2.Location:
-                Location object.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = locations_pb2.GetLocationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.get_location]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request, retry=retry, timeout=timeout, metadata=metadata,)
-
-        # Done; return the response.
-        return response
-
-    def list_locations(
-        self,
-        request: Optional[locations_pb2.ListLocationsRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> locations_pb2.ListLocationsResponse:
-        r"""Lists information about the supported locations for this service.
-
-        Args:
-            request (:class:`~.location_pb2.ListLocationsRequest`):
-                The request object. Request message for
-                `ListLocations` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                 if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.location_pb2.ListLocationsResponse:
-                Response message for ``ListLocations`` method.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = locations_pb2.ListLocationsRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.list_locations]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request, retry=retry, timeout=timeout, metadata=metadata,)
-
-        # Done; return the response.
-        return response
-
-
-DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(gapic_version=package_version.__version__)
-
-
-__all__ = (
-    "DataScanServiceClient",
-)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_scan_service/pagers.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_scan_service/pagers.py
deleted file mode 100644
index 897a4108391e..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_scan_service/pagers.py
+++ /dev/null
@@ -1,297 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from google.api_core import gapic_v1
-from google.api_core import retry as retries
-from google.api_core import retry_async as retries_async
-from typing import Any, AsyncIterator, Awaitable, Callable, Sequence, Tuple, Optional, Iterator, Union
-try:
-    OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None]
-    OptionalAsyncRetry = Union[retries_async.AsyncRetry, gapic_v1.method._MethodDefault, None]
-except AttributeError:  # pragma: NO COVER
-    OptionalRetry = Union[retries.Retry, object, None]  # type: ignore
-    OptionalAsyncRetry = Union[retries_async.AsyncRetry, object, None]  # type: ignore
-
-from google.cloud.dataplex_v1.types import datascans
-
-
-class ListDataScansPager:
-    """A pager for iterating through ``list_data_scans`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.dataplex_v1.types.ListDataScansResponse` object, and
-    provides an ``__iter__`` method to iterate through its
-    ``data_scans`` field.
-
-    If there are more pages, the ``__iter__`` method will make additional
-    ``ListDataScans`` requests and continue to iterate
-    through the ``data_scans`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.dataplex_v1.types.ListDataScansResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-    def __init__(self,
-            method: Callable[..., datascans.ListDataScansResponse],
-            request: datascans.ListDataScansRequest,
-            response: datascans.ListDataScansResponse,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = ()):
-        """Instantiate the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.dataplex_v1.types.ListDataScansRequest):
-                The initial request object.
-            response (google.cloud.dataplex_v1.types.ListDataScansResponse):
-                The initial response object.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = datascans.ListDataScansRequest(request)
-        self._response = response
-        self._retry = retry
-        self._timeout = timeout
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    def pages(self) -> Iterator[datascans.ListDataScansResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
-            yield self._response
-
-    def __iter__(self) -> Iterator[datascans.DataScan]:
-        for page in self.pages:
-            yield from page.data_scans
-
-    def __repr__(self) -> str:
-        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
-
-
-class ListDataScansAsyncPager:
-    """A pager for iterating through ``list_data_scans`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.dataplex_v1.types.ListDataScansResponse` object, and
-    provides an ``__aiter__`` method to iterate through its
-    ``data_scans`` field.
-
-    If there are more pages, the ``__aiter__`` method will make additional
-    ``ListDataScans`` requests and continue to iterate
-    through the ``data_scans`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.dataplex_v1.types.ListDataScansResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-    def __init__(self,
-            method: Callable[..., Awaitable[datascans.ListDataScansResponse]],
-            request: datascans.ListDataScansRequest,
-            response: datascans.ListDataScansResponse,
-            *,
-            retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = ()):
-        """Instantiates the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.dataplex_v1.types.ListDataScansRequest):
-                The initial request object.
-            response (google.cloud.dataplex_v1.types.ListDataScansResponse):
-                The initial response object.
-            retry (google.api_core.retry.AsyncRetry): Designation of what errors,
-                if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = datascans.ListDataScansRequest(request)
-        self._response = response
-        self._retry = retry
-        self._timeout = timeout
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    async def pages(self) -> AsyncIterator[datascans.ListDataScansResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = await self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
-            yield self._response
-    def __aiter__(self) -> AsyncIterator[datascans.DataScan]:
-        async def async_generator():
-            async for page in self.pages:
-                for response in page.data_scans:
-                    yield response
-
-        return async_generator()
-
-    def __repr__(self) -> str:
-        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
-
-
-class ListDataScanJobsPager:
-    """A pager for iterating through ``list_data_scan_jobs`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.dataplex_v1.types.ListDataScanJobsResponse` object, and
-    provides an ``__iter__`` method to iterate through its
-    ``data_scan_jobs`` field.
-
-    If there are more pages, the ``__iter__`` method will make additional
-    ``ListDataScanJobs`` requests and continue to iterate
-    through the ``data_scan_jobs`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.dataplex_v1.types.ListDataScanJobsResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-    def __init__(self,
-            method: Callable[..., datascans.ListDataScanJobsResponse],
-            request: datascans.ListDataScanJobsRequest,
-            response: datascans.ListDataScanJobsResponse,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = ()):
-        """Instantiate the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.dataplex_v1.types.ListDataScanJobsRequest):
-                The initial request object.
-            response (google.cloud.dataplex_v1.types.ListDataScanJobsResponse):
-                The initial response object.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = datascans.ListDataScanJobsRequest(request)
-        self._response = response
-        self._retry = retry
-        self._timeout = timeout
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    def pages(self) -> Iterator[datascans.ListDataScanJobsResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
-            yield self._response
-
-    def __iter__(self) -> Iterator[datascans.DataScanJob]:
-        for page in self.pages:
-            yield from page.data_scan_jobs
-
-    def __repr__(self) -> str:
-        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
-
-
-class ListDataScanJobsAsyncPager:
-    """A pager for iterating through ``list_data_scan_jobs`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.dataplex_v1.types.ListDataScanJobsResponse` object, and
-    provides an ``__aiter__`` method to iterate through its
-    ``data_scan_jobs`` field.
-
-    If there are more pages, the ``__aiter__`` method will make additional
-    ``ListDataScanJobs`` requests and continue to iterate
-    through the ``data_scan_jobs`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.dataplex_v1.types.ListDataScanJobsResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-    def __init__(self,
-            method: Callable[..., Awaitable[datascans.ListDataScanJobsResponse]],
-            request: datascans.ListDataScanJobsRequest,
-            response: datascans.ListDataScanJobsResponse,
-            *,
-            retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = ()):
-        """Instantiates the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.dataplex_v1.types.ListDataScanJobsRequest):
-                The initial request object.
-            response (google.cloud.dataplex_v1.types.ListDataScanJobsResponse):
-                The initial response object.
-            retry (google.api_core.retry.AsyncRetry): Designation of what errors,
-                if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = datascans.ListDataScanJobsRequest(request)
-        self._response = response
-        self._retry = retry
-        self._timeout = timeout
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    async def pages(self) -> AsyncIterator[datascans.ListDataScanJobsResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = await self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
-            yield self._response
-    def __aiter__(self) -> AsyncIterator[datascans.DataScanJob]:
-        async def async_generator():
-            async for page in self.pages:
-                for response in page.data_scan_jobs:
-                    yield response
-
-        return async_generator()
-
-    def __repr__(self) -> str:
-        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_scan_service/transports/README.rst b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_scan_service/transports/README.rst
deleted file mode 100644
index e27965be0a36..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_scan_service/transports/README.rst
+++ /dev/null
@@ -1,9 +0,0 @@
-
-transport inheritance structure
-_______________________________
-
-`DataScanServiceTransport` is the ABC for all transports.
-- public child `DataScanServiceGrpcTransport` for sync gRPC transport (defined in `grpc.py`).
-- public child `DataScanServiceGrpcAsyncIOTransport` for async gRPC transport (defined in `grpc_asyncio.py`).
-- private child `_BaseDataScanServiceRestTransport` for base REST transport with inner classes `_BaseMETHOD` (defined in `rest_base.py`).
-- public child `DataScanServiceRestTransport` for sync REST transport with inner classes `METHOD` derived from the parent's corresponding `_BaseMETHOD` classes (defined in `rest.py`).
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_scan_service/transports/__init__.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_scan_service/transports/__init__.py
deleted file mode 100644
index b6a6e3c5325a..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_scan_service/transports/__init__.py
+++ /dev/null
@@ -1,33 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from collections import OrderedDict
-from typing import Dict, Type
-
-from .base import DataScanServiceTransport
-from .grpc import DataScanServiceGrpcTransport
-from .grpc_asyncio import DataScanServiceGrpcAsyncIOTransport
-
-
-# Compile a registry of transports.
-_transport_registry = OrderedDict()  # type: Dict[str, Type[DataScanServiceTransport]]
-_transport_registry['grpc'] = DataScanServiceGrpcTransport
-_transport_registry['grpc_asyncio'] = DataScanServiceGrpcAsyncIOTransport
-
-__all__ = (
-    'DataScanServiceTransport',
-    'DataScanServiceGrpcTransport',
-    'DataScanServiceGrpcAsyncIOTransport',
-)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_scan_service/transports/base.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_scan_service/transports/base.py
deleted file mode 100644
index bbdd9e2dffed..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_scan_service/transports/base.py
+++ /dev/null
@@ -1,358 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-import abc
-from typing import Awaitable, Callable, Dict, Optional, Sequence, Union
-
-from google.cloud.dataplex_v1 import gapic_version as package_version
-
-import google.auth  # type: ignore
-import google.api_core
-from google.api_core import exceptions as core_exceptions
-from google.api_core import gapic_v1
-from google.api_core import retry as retries
-from google.api_core import operations_v1
-from google.auth import credentials as ga_credentials  # type: ignore
-from google.oauth2 import service_account # type: ignore
-
-from google.cloud.dataplex_v1.types import datascans
-from google.cloud.location import locations_pb2 # type: ignore
-from google.iam.v1 import iam_policy_pb2  # type: ignore
-from google.iam.v1 import policy_pb2  # type: ignore
-from google.longrunning import operations_pb2 # type: ignore
-
-DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(gapic_version=package_version.__version__)
-
-
-class DataScanServiceTransport(abc.ABC):
-    """Abstract transport class for DataScanService."""
-
-    AUTH_SCOPES = (
-        'https://www.googleapis.com/auth/cloud-platform',
-    )
-
-    DEFAULT_HOST: str = 'dataplex.googleapis.com'
-    def __init__(
-            self, *,
-            host: str = DEFAULT_HOST,
-            credentials: Optional[ga_credentials.Credentials] = None,
-            credentials_file: Optional[str] = None,
-            scopes: Optional[Sequence[str]] = None,
-            quota_project_id: Optional[str] = None,
-            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-            always_use_jwt_access: Optional[bool] = False,
-            api_audience: Optional[str] = None,
-            **kwargs,
-            ) -> None:
-        """Instantiate the transport.
-
-        Args:
-            host (Optional[str]):
-                 The hostname to connect to (default: 'dataplex.googleapis.com').
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-                This argument is mutually exclusive with credentials.
-            scopes (Optional[Sequence[str]]): A list of scopes.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
-                The client info used to send a user-agent string along with
-                API requests. If ``None``, then default info will be used.
-                Generally, you only need to set this if you're developing
-                your own client library.
-            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
-                be used for service account credentials.
-        """
-
-        scopes_kwargs = {"scopes": scopes, "default_scopes": self.AUTH_SCOPES}
-
-        # Save the scopes.
-        self._scopes = scopes
-        if not hasattr(self, "_ignore_credentials"):
-            self._ignore_credentials: bool = False
-
-        # If no credentials are provided, then determine the appropriate
-        # defaults.
-        if credentials and credentials_file:
-            raise core_exceptions.DuplicateCredentialArgs("'credentials_file' and 'credentials' are mutually exclusive")
-
-        if credentials_file is not None:
-            credentials, _ = google.auth.load_credentials_from_file(
-                                credentials_file,
-                                **scopes_kwargs,
-                                quota_project_id=quota_project_id
-                            )
-        elif credentials is None and not self._ignore_credentials:
-            credentials, _ = google.auth.default(**scopes_kwargs, quota_project_id=quota_project_id)
-            # Don't apply audience if the credentials file passed from user.
-            if hasattr(credentials, "with_gdch_audience"):
-                credentials = credentials.with_gdch_audience(api_audience if api_audience else host)
-
-        # If the credentials are service account credentials, then always try to use self signed JWT.
-        if always_use_jwt_access and isinstance(credentials, service_account.Credentials) and hasattr(service_account.Credentials, "with_always_use_jwt_access"):
-            credentials = credentials.with_always_use_jwt_access(True)
-
-        # Save the credentials.
-        self._credentials = credentials
-
-        # Save the hostname. Default to port 443 (HTTPS) if none is specified.
-        if ':' not in host:
-            host += ':443'
-        self._host = host
-
-    @property
-    def host(self):
-        return self._host
-
-    def _prep_wrapped_messages(self, client_info):
-        # Precompute the wrapped methods.
-        self._wrapped_methods = {
-            self.create_data_scan: gapic_v1.method.wrap_method(
-                self.create_data_scan,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.update_data_scan: gapic_v1.method.wrap_method(
-                self.update_data_scan,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.delete_data_scan: gapic_v1.method.wrap_method(
-                self.delete_data_scan,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.get_data_scan: gapic_v1.method.wrap_method(
-                self.get_data_scan,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.list_data_scans: gapic_v1.method.wrap_method(
-                self.list_data_scans,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.run_data_scan: gapic_v1.method.wrap_method(
-                self.run_data_scan,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.get_data_scan_job: gapic_v1.method.wrap_method(
-                self.get_data_scan_job,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.list_data_scan_jobs: gapic_v1.method.wrap_method(
-                self.list_data_scan_jobs,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.generate_data_quality_rules: gapic_v1.method.wrap_method(
-                self.generate_data_quality_rules,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.get_location: gapic_v1.method.wrap_method(
-                self.get_location,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.list_locations: gapic_v1.method.wrap_method(
-                self.list_locations,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.cancel_operation: gapic_v1.method.wrap_method(
-                self.cancel_operation,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.delete_operation: gapic_v1.method.wrap_method(
-                self.delete_operation,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.get_operation: gapic_v1.method.wrap_method(
-                self.get_operation,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.list_operations: gapic_v1.method.wrap_method(
-                self.list_operations,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-         }
-
-    def close(self):
-        """Closes resources associated with the transport.
-
-       .. warning::
-            Only call this method if the transport is NOT shared
-            with other clients - this may cause errors in other clients!
-        """
-        raise NotImplementedError()
-
-    @property
-    def operations_client(self):
-        """Return the client designed to process long-running operations."""
-        raise NotImplementedError()
-
-    @property
-    def create_data_scan(self) -> Callable[
-            [datascans.CreateDataScanRequest],
-            Union[
-                operations_pb2.Operation,
-                Awaitable[operations_pb2.Operation]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def update_data_scan(self) -> Callable[
-            [datascans.UpdateDataScanRequest],
-            Union[
-                operations_pb2.Operation,
-                Awaitable[operations_pb2.Operation]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def delete_data_scan(self) -> Callable[
-            [datascans.DeleteDataScanRequest],
-            Union[
-                operations_pb2.Operation,
-                Awaitable[operations_pb2.Operation]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def get_data_scan(self) -> Callable[
-            [datascans.GetDataScanRequest],
-            Union[
-                datascans.DataScan,
-                Awaitable[datascans.DataScan]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def list_data_scans(self) -> Callable[
-            [datascans.ListDataScansRequest],
-            Union[
-                datascans.ListDataScansResponse,
-                Awaitable[datascans.ListDataScansResponse]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def run_data_scan(self) -> Callable[
-            [datascans.RunDataScanRequest],
-            Union[
-                datascans.RunDataScanResponse,
-                Awaitable[datascans.RunDataScanResponse]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def get_data_scan_job(self) -> Callable[
-            [datascans.GetDataScanJobRequest],
-            Union[
-                datascans.DataScanJob,
-                Awaitable[datascans.DataScanJob]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def list_data_scan_jobs(self) -> Callable[
-            [datascans.ListDataScanJobsRequest],
-            Union[
-                datascans.ListDataScanJobsResponse,
-                Awaitable[datascans.ListDataScanJobsResponse]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def generate_data_quality_rules(self) -> Callable[
-            [datascans.GenerateDataQualityRulesRequest],
-            Union[
-                datascans.GenerateDataQualityRulesResponse,
-                Awaitable[datascans.GenerateDataQualityRulesResponse]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def list_operations(
-        self,
-    ) -> Callable[
-        [operations_pb2.ListOperationsRequest],
-        Union[operations_pb2.ListOperationsResponse, Awaitable[operations_pb2.ListOperationsResponse]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def get_operation(
-        self,
-    ) -> Callable[
-        [operations_pb2.GetOperationRequest],
-        Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def cancel_operation(
-        self,
-    ) -> Callable[
-        [operations_pb2.CancelOperationRequest],
-        None,
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def delete_operation(
-        self,
-    ) -> Callable[
-        [operations_pb2.DeleteOperationRequest],
-        None,
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def get_location(self,
-    ) -> Callable[
-        [locations_pb2.GetLocationRequest],
-        Union[locations_pb2.Location, Awaitable[locations_pb2.Location]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def list_locations(self,
-    ) -> Callable[
-        [locations_pb2.ListLocationsRequest],
-        Union[locations_pb2.ListLocationsResponse, Awaitable[locations_pb2.ListLocationsResponse]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def kind(self) -> str:
-        raise NotImplementedError()
-
-
-__all__ = (
-    'DataScanServiceTransport',
-)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_scan_service/transports/grpc.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_scan_service/transports/grpc.py
deleted file mode 100644
index 7fa57f382e72..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_scan_service/transports/grpc.py
+++ /dev/null
@@ -1,615 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-import warnings
-from typing import Callable, Dict, Optional, Sequence, Tuple, Union
-
-from google.api_core import grpc_helpers
-from google.api_core import operations_v1
-from google.api_core import gapic_v1
-import google.auth                         # type: ignore
-from google.auth import credentials as ga_credentials  # type: ignore
-from google.auth.transport.grpc import SslCredentials  # type: ignore
-
-import grpc  # type: ignore
-
-from google.cloud.dataplex_v1.types import datascans
-from google.cloud.location import locations_pb2 # type: ignore
-from google.iam.v1 import iam_policy_pb2  # type: ignore
-from google.iam.v1 import policy_pb2  # type: ignore
-from google.longrunning import operations_pb2 # type: ignore
-from .base import DataScanServiceTransport, DEFAULT_CLIENT_INFO
-
-
-class DataScanServiceGrpcTransport(DataScanServiceTransport):
-    """gRPC backend transport for DataScanService.
-
-    DataScanService manages DataScan resources which can be
-    configured to run various types of data scanning workload and
-    generate enriched metadata (e.g. Data Profile, Data Quality) for
-    the data source.
-
-    This class defines the same methods as the primary client, so the
-    primary client can load the underlying transport implementation
-    and call it.
-
-    It sends protocol buffers over the wire using gRPC (which is built on
-    top of HTTP/2); the ``grpcio`` package must be installed.
-    """
-    _stubs: Dict[str, Callable]
-
-    def __init__(self, *,
-            host: str = 'dataplex.googleapis.com',
-            credentials: Optional[ga_credentials.Credentials] = None,
-            credentials_file: Optional[str] = None,
-            scopes: Optional[Sequence[str]] = None,
-            channel: Optional[Union[grpc.Channel, Callable[..., grpc.Channel]]] = None,
-            api_mtls_endpoint: Optional[str] = None,
-            client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
-            ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None,
-            client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
-            quota_project_id: Optional[str] = None,
-            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-            always_use_jwt_access: Optional[bool] = False,
-            api_audience: Optional[str] = None,
-            ) -> None:
-        """Instantiate the transport.
-
-        Args:
-            host (Optional[str]):
-                 The hostname to connect to (default: 'dataplex.googleapis.com').
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-                This argument is ignored if a ``channel`` instance is provided.
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-                This argument is ignored if a ``channel`` instance is provided.
-            scopes (Optional(Sequence[str])): A list of scopes. This argument is
-                ignored if a ``channel`` instance is provided.
-            channel (Optional[Union[grpc.Channel, Callable[..., grpc.Channel]]]):
-                A ``Channel`` instance through which to make calls, or a Callable
-                that constructs and returns one. If set to None, ``self.create_channel``
-                is used to create the channel. If a Callable is given, it will be called
-                with the same arguments as used in ``self.create_channel``.
-            api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint.
-                If provided, it overrides the ``host`` argument and tries to create
-                a mutual TLS channel with client SSL credentials from
-                ``client_cert_source`` or application default SSL credentials.
-            client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]):
-                Deprecated. A callback to provide client SSL certificate bytes and
-                private key bytes, both in PEM format. It is ignored if
-                ``api_mtls_endpoint`` is None.
-            ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials
-                for the grpc channel. It is ignored if a ``channel`` instance is provided.
-            client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]):
-                A callback to provide client certificate bytes and private key bytes,
-                both in PEM format. It is used to configure a mutual TLS channel. It is
-                ignored if a ``channel`` instance or ``ssl_channel_credentials`` is provided.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
-                The client info used to send a user-agent string along with
-                API requests. If ``None``, then default info will be used.
-                Generally, you only need to set this if you're developing
-                your own client library.
-            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
-                be used for service account credentials.
-
-        Raises:
-          google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport
-              creation failed for any reason.
-          google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials``
-              and ``credentials_file`` are passed.
-        """
-        self._grpc_channel = None
-        self._ssl_channel_credentials = ssl_channel_credentials
-        self._stubs: Dict[str, Callable] = {}
-        self._operations_client: Optional[operations_v1.OperationsClient] = None
-
-        if api_mtls_endpoint:
-            warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning)
-        if client_cert_source:
-            warnings.warn("client_cert_source is deprecated", DeprecationWarning)
-
-        if isinstance(channel, grpc.Channel):
-            # Ignore credentials if a channel was passed.
-            credentials = None
-            self._ignore_credentials = True
-            # If a channel was explicitly provided, set it.
-            self._grpc_channel = channel
-            self._ssl_channel_credentials = None
-
-        else:
-            if api_mtls_endpoint:
-                host = api_mtls_endpoint
-
-                # Create SSL credentials with client_cert_source or application
-                # default SSL credentials.
-                if client_cert_source:
-                    cert, key = client_cert_source()
-                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
-                        certificate_chain=cert, private_key=key
-                    )
-                else:
-                    self._ssl_channel_credentials = SslCredentials().ssl_credentials
-
-            else:
-                if client_cert_source_for_mtls and not ssl_channel_credentials:
-                    cert, key = client_cert_source_for_mtls()
-                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
-                        certificate_chain=cert, private_key=key
-                    )
-
-        # The base transport sets the host, credentials and scopes
-        super().__init__(
-            host=host,
-            credentials=credentials,
-            credentials_file=credentials_file,
-            scopes=scopes,
-            quota_project_id=quota_project_id,
-            client_info=client_info,
-            always_use_jwt_access=always_use_jwt_access,
-            api_audience=api_audience,
-        )
-
-        if not self._grpc_channel:
-            # initialize with the provided callable or the default channel
-            channel_init = channel or type(self).create_channel
-            self._grpc_channel = channel_init(
-                self._host,
-                # use the credentials which are saved
-                credentials=self._credentials,
-                # Set ``credentials_file`` to ``None`` here as
-                # the credentials that we saved earlier should be used.
-                credentials_file=None,
-                scopes=self._scopes,
-                ssl_credentials=self._ssl_channel_credentials,
-                quota_project_id=quota_project_id,
-                options=[
-                    ("grpc.max_send_message_length", -1),
-                    ("grpc.max_receive_message_length", -1),
-                ],
-            )
-
-        # Wrap messages. This must be done after self._grpc_channel exists
-        self._prep_wrapped_messages(client_info)
-
-    @classmethod
-    def create_channel(cls,
-                       host: str = 'dataplex.googleapis.com',
-                       credentials: Optional[ga_credentials.Credentials] = None,
-                       credentials_file: Optional[str] = None,
-                       scopes: Optional[Sequence[str]] = None,
-                       quota_project_id: Optional[str] = None,
-                       **kwargs) -> grpc.Channel:
-        """Create and return a gRPC channel object.
-        Args:
-            host (Optional[str]): The host for the channel to use.
-            credentials (Optional[~.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify this application to the service. If
-                none are specified, the client will attempt to ascertain
-                the credentials from the environment.
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-                This argument is mutually exclusive with credentials.
-            scopes (Optional[Sequence[str]]): A optional list of scopes needed for this
-                service. These are only used when credentials are not specified and
-                are passed to :func:`google.auth.default`.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            kwargs (Optional[dict]): Keyword arguments, which are passed to the
-                channel creation.
-        Returns:
-            grpc.Channel: A gRPC channel object.
-
-        Raises:
-            google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials``
-              and ``credentials_file`` are passed.
-        """
-
-        return grpc_helpers.create_channel(
-            host,
-            credentials=credentials,
-            credentials_file=credentials_file,
-            quota_project_id=quota_project_id,
-            default_scopes=cls.AUTH_SCOPES,
-            scopes=scopes,
-            default_host=cls.DEFAULT_HOST,
-            **kwargs
-        )
-
-    @property
-    def grpc_channel(self) -> grpc.Channel:
-        """Return the channel designed to connect to this service.
-        """
-        return self._grpc_channel
-
-    @property
-    def operations_client(self) -> operations_v1.OperationsClient:
-        """Create the client designed to process long-running operations.
-
-        This property caches on the instance; repeated calls return the same
-        client.
-        """
-        # Quick check: Only create a new client if we do not already have one.
-        if self._operations_client is None:
-            self._operations_client = operations_v1.OperationsClient(
-                self.grpc_channel
-            )
-
-        # Return the client from cache.
-        return self._operations_client
-
-    @property
-    def create_data_scan(self) -> Callable[
-            [datascans.CreateDataScanRequest],
-            operations_pb2.Operation]:
-        r"""Return a callable for the create data scan method over gRPC.
-
-        Creates a DataScan resource.
-
-        Returns:
-            Callable[[~.CreateDataScanRequest],
-                    ~.Operation]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'create_data_scan' not in self._stubs:
-            self._stubs['create_data_scan'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataScanService/CreateDataScan',
-                request_serializer=datascans.CreateDataScanRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['create_data_scan']
-
-    @property
-    def update_data_scan(self) -> Callable[
-            [datascans.UpdateDataScanRequest],
-            operations_pb2.Operation]:
-        r"""Return a callable for the update data scan method over gRPC.
-
-        Updates a DataScan resource.
-
-        Returns:
-            Callable[[~.UpdateDataScanRequest],
-                    ~.Operation]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'update_data_scan' not in self._stubs:
-            self._stubs['update_data_scan'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataScanService/UpdateDataScan',
-                request_serializer=datascans.UpdateDataScanRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['update_data_scan']
-
-    @property
-    def delete_data_scan(self) -> Callable[
-            [datascans.DeleteDataScanRequest],
-            operations_pb2.Operation]:
-        r"""Return a callable for the delete data scan method over gRPC.
-
-        Deletes a DataScan resource.
-
-        Returns:
-            Callable[[~.DeleteDataScanRequest],
-                    ~.Operation]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'delete_data_scan' not in self._stubs:
-            self._stubs['delete_data_scan'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataScanService/DeleteDataScan',
-                request_serializer=datascans.DeleteDataScanRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['delete_data_scan']
-
-    @property
-    def get_data_scan(self) -> Callable[
-            [datascans.GetDataScanRequest],
-            datascans.DataScan]:
-        r"""Return a callable for the get data scan method over gRPC.
-
-        Gets a DataScan resource.
-
-        Returns:
-            Callable[[~.GetDataScanRequest],
-                    ~.DataScan]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'get_data_scan' not in self._stubs:
-            self._stubs['get_data_scan'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataScanService/GetDataScan',
-                request_serializer=datascans.GetDataScanRequest.serialize,
-                response_deserializer=datascans.DataScan.deserialize,
-            )
-        return self._stubs['get_data_scan']
-
-    @property
-    def list_data_scans(self) -> Callable[
-            [datascans.ListDataScansRequest],
-            datascans.ListDataScansResponse]:
-        r"""Return a callable for the list data scans method over gRPC.
-
-        Lists DataScans.
-
-        Returns:
-            Callable[[~.ListDataScansRequest],
-                    ~.ListDataScansResponse]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'list_data_scans' not in self._stubs:
-            self._stubs['list_data_scans'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataScanService/ListDataScans',
-                request_serializer=datascans.ListDataScansRequest.serialize,
-                response_deserializer=datascans.ListDataScansResponse.deserialize,
-            )
-        return self._stubs['list_data_scans']
-
-    @property
-    def run_data_scan(self) -> Callable[
-            [datascans.RunDataScanRequest],
-            datascans.RunDataScanResponse]:
-        r"""Return a callable for the run data scan method over gRPC.
-
-        Runs an on-demand execution of a DataScan
-
-        Returns:
-            Callable[[~.RunDataScanRequest],
-                    ~.RunDataScanResponse]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'run_data_scan' not in self._stubs:
-            self._stubs['run_data_scan'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataScanService/RunDataScan',
-                request_serializer=datascans.RunDataScanRequest.serialize,
-                response_deserializer=datascans.RunDataScanResponse.deserialize,
-            )
-        return self._stubs['run_data_scan']
-
-    @property
-    def get_data_scan_job(self) -> Callable[
-            [datascans.GetDataScanJobRequest],
-            datascans.DataScanJob]:
-        r"""Return a callable for the get data scan job method over gRPC.
-
-        Gets a DataScanJob resource.
-
-        Returns:
-            Callable[[~.GetDataScanJobRequest],
-                    ~.DataScanJob]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'get_data_scan_job' not in self._stubs:
-            self._stubs['get_data_scan_job'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataScanService/GetDataScanJob',
-                request_serializer=datascans.GetDataScanJobRequest.serialize,
-                response_deserializer=datascans.DataScanJob.deserialize,
-            )
-        return self._stubs['get_data_scan_job']
-
-    @property
-    def list_data_scan_jobs(self) -> Callable[
-            [datascans.ListDataScanJobsRequest],
-            datascans.ListDataScanJobsResponse]:
-        r"""Return a callable for the list data scan jobs method over gRPC.
-
-        Lists DataScanJobs under the given DataScan.
-
-        Returns:
-            Callable[[~.ListDataScanJobsRequest],
-                    ~.ListDataScanJobsResponse]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'list_data_scan_jobs' not in self._stubs:
-            self._stubs['list_data_scan_jobs'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataScanService/ListDataScanJobs',
-                request_serializer=datascans.ListDataScanJobsRequest.serialize,
-                response_deserializer=datascans.ListDataScanJobsResponse.deserialize,
-            )
-        return self._stubs['list_data_scan_jobs']
-
-    @property
-    def generate_data_quality_rules(self) -> Callable[
-            [datascans.GenerateDataQualityRulesRequest],
-            datascans.GenerateDataQualityRulesResponse]:
-        r"""Return a callable for the generate data quality rules method over gRPC.
-
-        Generates recommended data quality rules based on the
-        results of a data profiling scan.
-
-        Use the recommendations to build rules for a data
-        quality scan.
-
-        Returns:
-            Callable[[~.GenerateDataQualityRulesRequest],
-                    ~.GenerateDataQualityRulesResponse]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'generate_data_quality_rules' not in self._stubs:
-            self._stubs['generate_data_quality_rules'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataScanService/GenerateDataQualityRules',
-                request_serializer=datascans.GenerateDataQualityRulesRequest.serialize,
-                response_deserializer=datascans.GenerateDataQualityRulesResponse.deserialize,
-            )
-        return self._stubs['generate_data_quality_rules']
-
-    def close(self):
-        self.grpc_channel.close()
-
-    @property
-    def delete_operation(
-        self,
-    ) -> Callable[[operations_pb2.DeleteOperationRequest], None]:
-        r"""Return a callable for the delete_operation method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "delete_operation" not in self._stubs:
-            self._stubs["delete_operation"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/DeleteOperation",
-                request_serializer=operations_pb2.DeleteOperationRequest.SerializeToString,
-                response_deserializer=None,
-            )
-        return self._stubs["delete_operation"]
-
-    @property
-    def cancel_operation(
-        self,
-    ) -> Callable[[operations_pb2.CancelOperationRequest], None]:
-        r"""Return a callable for the cancel_operation method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "cancel_operation" not in self._stubs:
-            self._stubs["cancel_operation"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/CancelOperation",
-                request_serializer=operations_pb2.CancelOperationRequest.SerializeToString,
-                response_deserializer=None,
-            )
-        return self._stubs["cancel_operation"]
-
-    @property
-    def get_operation(
-        self,
-    ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]:
-        r"""Return a callable for the get_operation method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "get_operation" not in self._stubs:
-            self._stubs["get_operation"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/GetOperation",
-                request_serializer=operations_pb2.GetOperationRequest.SerializeToString,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs["get_operation"]
-
-    @property
-    def list_operations(
-        self,
-    ) -> Callable[[operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse]:
-        r"""Return a callable for the list_operations method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "list_operations" not in self._stubs:
-            self._stubs["list_operations"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/ListOperations",
-                request_serializer=operations_pb2.ListOperationsRequest.SerializeToString,
-                response_deserializer=operations_pb2.ListOperationsResponse.FromString,
-            )
-        return self._stubs["list_operations"]
-
-    @property
-    def list_locations(
-        self,
-    ) -> Callable[[locations_pb2.ListLocationsRequest], locations_pb2.ListLocationsResponse]:
-        r"""Return a callable for the list locations method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "list_locations" not in self._stubs:
-            self._stubs["list_locations"] = self.grpc_channel.unary_unary(
-                "/google.cloud.location.Locations/ListLocations",
-                request_serializer=locations_pb2.ListLocationsRequest.SerializeToString,
-                response_deserializer=locations_pb2.ListLocationsResponse.FromString,
-            )
-        return self._stubs["list_locations"]
-
-    @property
-    def get_location(
-        self,
-    ) -> Callable[[locations_pb2.GetLocationRequest], locations_pb2.Location]:
-        r"""Return a callable for the list locations method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "get_location" not in self._stubs:
-            self._stubs["get_location"] = self.grpc_channel.unary_unary(
-                "/google.cloud.location.Locations/GetLocation",
-                request_serializer=locations_pb2.GetLocationRequest.SerializeToString,
-                response_deserializer=locations_pb2.Location.FromString,
-            )
-        return self._stubs["get_location"]
-
-    @property
-    def kind(self) -> str:
-        return "grpc"
-
-
-__all__ = (
-    'DataScanServiceGrpcTransport',
-)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_scan_service/transports/grpc_asyncio.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_scan_service/transports/grpc_asyncio.py
deleted file mode 100644
index d93e93a9d327..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_scan_service/transports/grpc_asyncio.py
+++ /dev/null
@@ -1,706 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-import inspect
-import warnings
-from typing import Awaitable, Callable, Dict, Optional, Sequence, Tuple, Union
-
-from google.api_core import gapic_v1
-from google.api_core import grpc_helpers_async
-from google.api_core import exceptions as core_exceptions
-from google.api_core import retry_async as retries
-from google.api_core import operations_v1
-from google.auth import credentials as ga_credentials   # type: ignore
-from google.auth.transport.grpc import SslCredentials  # type: ignore
-
-import grpc                        # type: ignore
-from grpc.experimental import aio  # type: ignore
-
-from google.cloud.dataplex_v1.types import datascans
-from google.cloud.location import locations_pb2 # type: ignore
-from google.iam.v1 import iam_policy_pb2  # type: ignore
-from google.iam.v1 import policy_pb2  # type: ignore
-from google.longrunning import operations_pb2 # type: ignore
-from .base import DataScanServiceTransport, DEFAULT_CLIENT_INFO
-from .grpc import DataScanServiceGrpcTransport
-
-
-class DataScanServiceGrpcAsyncIOTransport(DataScanServiceTransport):
-    """gRPC AsyncIO backend transport for DataScanService.
-
-    DataScanService manages DataScan resources which can be
-    configured to run various types of data scanning workload and
-    generate enriched metadata (e.g. Data Profile, Data Quality) for
-    the data source.
-
-    This class defines the same methods as the primary client, so the
-    primary client can load the underlying transport implementation
-    and call it.
-
-    It sends protocol buffers over the wire using gRPC (which is built on
-    top of HTTP/2); the ``grpcio`` package must be installed.
-    """
-
-    _grpc_channel: aio.Channel
-    _stubs: Dict[str, Callable] = {}
-
-    @classmethod
-    def create_channel(cls,
-                       host: str = 'dataplex.googleapis.com',
-                       credentials: Optional[ga_credentials.Credentials] = None,
-                       credentials_file: Optional[str] = None,
-                       scopes: Optional[Sequence[str]] = None,
-                       quota_project_id: Optional[str] = None,
-                       **kwargs) -> aio.Channel:
-        """Create and return a gRPC AsyncIO channel object.
-        Args:
-            host (Optional[str]): The host for the channel to use.
-            credentials (Optional[~.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify this application to the service. If
-                none are specified, the client will attempt to ascertain
-                the credentials from the environment.
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-            scopes (Optional[Sequence[str]]): A optional list of scopes needed for this
-                service. These are only used when credentials are not specified and
-                are passed to :func:`google.auth.default`.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            kwargs (Optional[dict]): Keyword arguments, which are passed to the
-                channel creation.
-        Returns:
-            aio.Channel: A gRPC AsyncIO channel object.
-        """
-
-        return grpc_helpers_async.create_channel(
-            host,
-            credentials=credentials,
-            credentials_file=credentials_file,
-            quota_project_id=quota_project_id,
-            default_scopes=cls.AUTH_SCOPES,
-            scopes=scopes,
-            default_host=cls.DEFAULT_HOST,
-            **kwargs
-        )
-
-    def __init__(self, *,
-            host: str = 'dataplex.googleapis.com',
-            credentials: Optional[ga_credentials.Credentials] = None,
-            credentials_file: Optional[str] = None,
-            scopes: Optional[Sequence[str]] = None,
-            channel: Optional[Union[aio.Channel, Callable[..., aio.Channel]]] = None,
-            api_mtls_endpoint: Optional[str] = None,
-            client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
-            ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None,
-            client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
-            quota_project_id: Optional[str] = None,
-            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-            always_use_jwt_access: Optional[bool] = False,
-            api_audience: Optional[str] = None,
-            ) -> None:
-        """Instantiate the transport.
-
-        Args:
-            host (Optional[str]):
-                 The hostname to connect to (default: 'dataplex.googleapis.com').
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-                This argument is ignored if a ``channel`` instance is provided.
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-                This argument is ignored if a ``channel`` instance is provided.
-            scopes (Optional[Sequence[str]]): A optional list of scopes needed for this
-                service. These are only used when credentials are not specified and
-                are passed to :func:`google.auth.default`.
-            channel (Optional[Union[aio.Channel, Callable[..., aio.Channel]]]):
-                A ``Channel`` instance through which to make calls, or a Callable
-                that constructs and returns one. If set to None, ``self.create_channel``
-                is used to create the channel. If a Callable is given, it will be called
-                with the same arguments as used in ``self.create_channel``.
-            api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint.
-                If provided, it overrides the ``host`` argument and tries to create
-                a mutual TLS channel with client SSL credentials from
-                ``client_cert_source`` or application default SSL credentials.
-            client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]):
-                Deprecated. A callback to provide client SSL certificate bytes and
-                private key bytes, both in PEM format. It is ignored if
-                ``api_mtls_endpoint`` is None.
-            ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials
-                for the grpc channel. It is ignored if a ``channel`` instance is provided.
-            client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]):
-                A callback to provide client certificate bytes and private key bytes,
-                both in PEM format. It is used to configure a mutual TLS channel. It is
-                ignored if a ``channel`` instance or ``ssl_channel_credentials`` is provided.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
-                The client info used to send a user-agent string along with
-                API requests. If ``None``, then default info will be used.
-                Generally, you only need to set this if you're developing
-                your own client library.
-            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
-                be used for service account credentials.
-
-        Raises:
-            google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport
-              creation failed for any reason.
-          google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials``
-              and ``credentials_file`` are passed.
-        """
-        self._grpc_channel = None
-        self._ssl_channel_credentials = ssl_channel_credentials
-        self._stubs: Dict[str, Callable] = {}
-        self._operations_client: Optional[operations_v1.OperationsAsyncClient] = None
-
-        if api_mtls_endpoint:
-            warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning)
-        if client_cert_source:
-            warnings.warn("client_cert_source is deprecated", DeprecationWarning)
-
-        if isinstance(channel, aio.Channel):
-            # Ignore credentials if a channel was passed.
-            credentials = None
-            self._ignore_credentials = True
-            # If a channel was explicitly provided, set it.
-            self._grpc_channel = channel
-            self._ssl_channel_credentials = None
-        else:
-            if api_mtls_endpoint:
-                host = api_mtls_endpoint
-
-                # Create SSL credentials with client_cert_source or application
-                # default SSL credentials.
-                if client_cert_source:
-                    cert, key = client_cert_source()
-                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
-                        certificate_chain=cert, private_key=key
-                    )
-                else:
-                    self._ssl_channel_credentials = SslCredentials().ssl_credentials
-
-            else:
-                if client_cert_source_for_mtls and not ssl_channel_credentials:
-                    cert, key = client_cert_source_for_mtls()
-                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
-                        certificate_chain=cert, private_key=key
-                    )
-
-        # The base transport sets the host, credentials and scopes
-        super().__init__(
-            host=host,
-            credentials=credentials,
-            credentials_file=credentials_file,
-            scopes=scopes,
-            quota_project_id=quota_project_id,
-            client_info=client_info,
-            always_use_jwt_access=always_use_jwt_access,
-            api_audience=api_audience,
-        )
-
-        if not self._grpc_channel:
-            # initialize with the provided callable or the default channel
-            channel_init = channel or type(self).create_channel
-            self._grpc_channel = channel_init(
-                self._host,
-                # use the credentials which are saved
-                credentials=self._credentials,
-                # Set ``credentials_file`` to ``None`` here as
-                # the credentials that we saved earlier should be used.
-                credentials_file=None,
-                scopes=self._scopes,
-                ssl_credentials=self._ssl_channel_credentials,
-                quota_project_id=quota_project_id,
-                options=[
-                    ("grpc.max_send_message_length", -1),
-                    ("grpc.max_receive_message_length", -1),
-                ],
-            )
-
-        # Wrap messages. This must be done after self._grpc_channel exists
-        self._wrap_with_kind = "kind" in inspect.signature(gapic_v1.method_async.wrap_method).parameters
-        self._prep_wrapped_messages(client_info)
-
-    @property
-    def grpc_channel(self) -> aio.Channel:
-        """Create the channel designed to connect to this service.
-
-        This property caches on the instance; repeated calls return
-        the same channel.
-        """
-        # Return the channel from cache.
-        return self._grpc_channel
-
-    @property
-    def operations_client(self) -> operations_v1.OperationsAsyncClient:
-        """Create the client designed to process long-running operations.
-
-        This property caches on the instance; repeated calls return the same
-        client.
-        """
-        # Quick check: Only create a new client if we do not already have one.
-        if self._operations_client is None:
-            self._operations_client = operations_v1.OperationsAsyncClient(
-                self.grpc_channel
-            )
-
-        # Return the client from cache.
-        return self._operations_client
-
-    @property
-    def create_data_scan(self) -> Callable[
-            [datascans.CreateDataScanRequest],
-            Awaitable[operations_pb2.Operation]]:
-        r"""Return a callable for the create data scan method over gRPC.
-
-        Creates a DataScan resource.
-
-        Returns:
-            Callable[[~.CreateDataScanRequest],
-                    Awaitable[~.Operation]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'create_data_scan' not in self._stubs:
-            self._stubs['create_data_scan'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataScanService/CreateDataScan',
-                request_serializer=datascans.CreateDataScanRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['create_data_scan']
-
-    @property
-    def update_data_scan(self) -> Callable[
-            [datascans.UpdateDataScanRequest],
-            Awaitable[operations_pb2.Operation]]:
-        r"""Return a callable for the update data scan method over gRPC.
-
-        Updates a DataScan resource.
-
-        Returns:
-            Callable[[~.UpdateDataScanRequest],
-                    Awaitable[~.Operation]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'update_data_scan' not in self._stubs:
-            self._stubs['update_data_scan'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataScanService/UpdateDataScan',
-                request_serializer=datascans.UpdateDataScanRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['update_data_scan']
-
-    @property
-    def delete_data_scan(self) -> Callable[
-            [datascans.DeleteDataScanRequest],
-            Awaitable[operations_pb2.Operation]]:
-        r"""Return a callable for the delete data scan method over gRPC.
-
-        Deletes a DataScan resource.
-
-        Returns:
-            Callable[[~.DeleteDataScanRequest],
-                    Awaitable[~.Operation]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'delete_data_scan' not in self._stubs:
-            self._stubs['delete_data_scan'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataScanService/DeleteDataScan',
-                request_serializer=datascans.DeleteDataScanRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['delete_data_scan']
-
-    @property
-    def get_data_scan(self) -> Callable[
-            [datascans.GetDataScanRequest],
-            Awaitable[datascans.DataScan]]:
-        r"""Return a callable for the get data scan method over gRPC.
-
-        Gets a DataScan resource.
-
-        Returns:
-            Callable[[~.GetDataScanRequest],
-                    Awaitable[~.DataScan]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'get_data_scan' not in self._stubs:
-            self._stubs['get_data_scan'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataScanService/GetDataScan',
-                request_serializer=datascans.GetDataScanRequest.serialize,
-                response_deserializer=datascans.DataScan.deserialize,
-            )
-        return self._stubs['get_data_scan']
-
-    @property
-    def list_data_scans(self) -> Callable[
-            [datascans.ListDataScansRequest],
-            Awaitable[datascans.ListDataScansResponse]]:
-        r"""Return a callable for the list data scans method over gRPC.
-
-        Lists DataScans.
-
-        Returns:
-            Callable[[~.ListDataScansRequest],
-                    Awaitable[~.ListDataScansResponse]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'list_data_scans' not in self._stubs:
-            self._stubs['list_data_scans'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataScanService/ListDataScans',
-                request_serializer=datascans.ListDataScansRequest.serialize,
-                response_deserializer=datascans.ListDataScansResponse.deserialize,
-            )
-        return self._stubs['list_data_scans']
-
-    @property
-    def run_data_scan(self) -> Callable[
-            [datascans.RunDataScanRequest],
-            Awaitable[datascans.RunDataScanResponse]]:
-        r"""Return a callable for the run data scan method over gRPC.
-
-        Runs an on-demand execution of a DataScan
-
-        Returns:
-            Callable[[~.RunDataScanRequest],
-                    Awaitable[~.RunDataScanResponse]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'run_data_scan' not in self._stubs:
-            self._stubs['run_data_scan'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataScanService/RunDataScan',
-                request_serializer=datascans.RunDataScanRequest.serialize,
-                response_deserializer=datascans.RunDataScanResponse.deserialize,
-            )
-        return self._stubs['run_data_scan']
-
-    @property
-    def get_data_scan_job(self) -> Callable[
-            [datascans.GetDataScanJobRequest],
-            Awaitable[datascans.DataScanJob]]:
-        r"""Return a callable for the get data scan job method over gRPC.
-
-        Gets a DataScanJob resource.
-
-        Returns:
-            Callable[[~.GetDataScanJobRequest],
-                    Awaitable[~.DataScanJob]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'get_data_scan_job' not in self._stubs:
-            self._stubs['get_data_scan_job'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataScanService/GetDataScanJob',
-                request_serializer=datascans.GetDataScanJobRequest.serialize,
-                response_deserializer=datascans.DataScanJob.deserialize,
-            )
-        return self._stubs['get_data_scan_job']
-
-    @property
-    def list_data_scan_jobs(self) -> Callable[
-            [datascans.ListDataScanJobsRequest],
-            Awaitable[datascans.ListDataScanJobsResponse]]:
-        r"""Return a callable for the list data scan jobs method over gRPC.
-
-        Lists DataScanJobs under the given DataScan.
-
-        Returns:
-            Callable[[~.ListDataScanJobsRequest],
-                    Awaitable[~.ListDataScanJobsResponse]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'list_data_scan_jobs' not in self._stubs:
-            self._stubs['list_data_scan_jobs'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataScanService/ListDataScanJobs',
-                request_serializer=datascans.ListDataScanJobsRequest.serialize,
-                response_deserializer=datascans.ListDataScanJobsResponse.deserialize,
-            )
-        return self._stubs['list_data_scan_jobs']
-
-    @property
-    def generate_data_quality_rules(self) -> Callable[
-            [datascans.GenerateDataQualityRulesRequest],
-            Awaitable[datascans.GenerateDataQualityRulesResponse]]:
-        r"""Return a callable for the generate data quality rules method over gRPC.
-
-        Generates recommended data quality rules based on the
-        results of a data profiling scan.
-
-        Use the recommendations to build rules for a data
-        quality scan.
-
-        Returns:
-            Callable[[~.GenerateDataQualityRulesRequest],
-                    Awaitable[~.GenerateDataQualityRulesResponse]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'generate_data_quality_rules' not in self._stubs:
-            self._stubs['generate_data_quality_rules'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataScanService/GenerateDataQualityRules',
-                request_serializer=datascans.GenerateDataQualityRulesRequest.serialize,
-                response_deserializer=datascans.GenerateDataQualityRulesResponse.deserialize,
-            )
-        return self._stubs['generate_data_quality_rules']
-
-    def _prep_wrapped_messages(self, client_info):
-        """ Precompute the wrapped methods, overriding the base class method to use async wrappers."""
-        self._wrapped_methods = {
-            self.create_data_scan: self._wrap_method(
-                self.create_data_scan,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.update_data_scan: self._wrap_method(
-                self.update_data_scan,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.delete_data_scan: self._wrap_method(
-                self.delete_data_scan,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.get_data_scan: self._wrap_method(
-                self.get_data_scan,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.list_data_scans: self._wrap_method(
-                self.list_data_scans,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.run_data_scan: self._wrap_method(
-                self.run_data_scan,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.get_data_scan_job: self._wrap_method(
-                self.get_data_scan_job,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.list_data_scan_jobs: self._wrap_method(
-                self.list_data_scan_jobs,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.generate_data_quality_rules: self._wrap_method(
-                self.generate_data_quality_rules,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.get_location: self._wrap_method(
-                self.get_location,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.list_locations: self._wrap_method(
-                self.list_locations,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.cancel_operation: self._wrap_method(
-                self.cancel_operation,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.delete_operation: self._wrap_method(
-                self.delete_operation,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.get_operation: self._wrap_method(
-                self.get_operation,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.list_operations: self._wrap_method(
-                self.list_operations,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-        }
-
-    def _wrap_method(self, func, *args, **kwargs):
-        if self._wrap_with_kind:  # pragma: NO COVER
-            kwargs["kind"] = self.kind
-        return gapic_v1.method_async.wrap_method(func, *args, **kwargs)
-
-    def close(self):
-        return self.grpc_channel.close()
-
-    @property
-    def kind(self) -> str:
-        return "grpc_asyncio"
-
-    @property
-    def delete_operation(
-        self,
-    ) -> Callable[[operations_pb2.DeleteOperationRequest], None]:
-        r"""Return a callable for the delete_operation method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "delete_operation" not in self._stubs:
-            self._stubs["delete_operation"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/DeleteOperation",
-                request_serializer=operations_pb2.DeleteOperationRequest.SerializeToString,
-                response_deserializer=None,
-            )
-        return self._stubs["delete_operation"]
-
-    @property
-    def cancel_operation(
-        self,
-    ) -> Callable[[operations_pb2.CancelOperationRequest], None]:
-        r"""Return a callable for the cancel_operation method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "cancel_operation" not in self._stubs:
-            self._stubs["cancel_operation"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/CancelOperation",
-                request_serializer=operations_pb2.CancelOperationRequest.SerializeToString,
-                response_deserializer=None,
-            )
-        return self._stubs["cancel_operation"]
-
-    @property
-    def get_operation(
-        self,
-    ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]:
-        r"""Return a callable for the get_operation method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "get_operation" not in self._stubs:
-            self._stubs["get_operation"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/GetOperation",
-                request_serializer=operations_pb2.GetOperationRequest.SerializeToString,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs["get_operation"]
-
-    @property
-    def list_operations(
-        self,
-    ) -> Callable[[operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse]:
-        r"""Return a callable for the list_operations method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "list_operations" not in self._stubs:
-            self._stubs["list_operations"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/ListOperations",
-                request_serializer=operations_pb2.ListOperationsRequest.SerializeToString,
-                response_deserializer=operations_pb2.ListOperationsResponse.FromString,
-            )
-        return self._stubs["list_operations"]
-
-    @property
-    def list_locations(
-        self,
-    ) -> Callable[[locations_pb2.ListLocationsRequest], locations_pb2.ListLocationsResponse]:
-        r"""Return a callable for the list locations method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "list_locations" not in self._stubs:
-            self._stubs["list_locations"] = self.grpc_channel.unary_unary(
-                "/google.cloud.location.Locations/ListLocations",
-                request_serializer=locations_pb2.ListLocationsRequest.SerializeToString,
-                response_deserializer=locations_pb2.ListLocationsResponse.FromString,
-            )
-        return self._stubs["list_locations"]
-
-    @property
-    def get_location(
-        self,
-    ) -> Callable[[locations_pb2.GetLocationRequest], locations_pb2.Location]:
-        r"""Return a callable for the list locations method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "get_location" not in self._stubs:
-            self._stubs["get_location"] = self.grpc_channel.unary_unary(
-                "/google.cloud.location.Locations/GetLocation",
-                request_serializer=locations_pb2.GetLocationRequest.SerializeToString,
-                response_deserializer=locations_pb2.Location.FromString,
-            )
-        return self._stubs["get_location"]
-
-
-__all__ = (
-    'DataScanServiceGrpcAsyncIOTransport',
-)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_taxonomy_service/__init__.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_taxonomy_service/__init__.py
deleted file mode 100644
index d53da31dabe7..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_taxonomy_service/__init__.py
+++ /dev/null
@@ -1,22 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from .client import DataTaxonomyServiceClient
-from .async_client import DataTaxonomyServiceAsyncClient
-
-__all__ = (
-    'DataTaxonomyServiceClient',
-    'DataTaxonomyServiceAsyncClient',
-)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_taxonomy_service/async_client.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_taxonomy_service/async_client.py
deleted file mode 100644
index 790d7cdf77dc..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_taxonomy_service/async_client.py
+++ /dev/null
@@ -1,2420 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from collections import OrderedDict
-import re
-from typing import Dict, Callable, Mapping, MutableMapping, MutableSequence, Optional, Sequence, Tuple, Type, Union
-
-from google.cloud.dataplex_v1 import gapic_version as package_version
-
-from google.api_core.client_options import ClientOptions
-from google.api_core import exceptions as core_exceptions
-from google.api_core import gapic_v1
-from google.api_core import retry_async as retries
-from google.auth import credentials as ga_credentials   # type: ignore
-from google.oauth2 import service_account              # type: ignore
-
-
-try:
-    OptionalRetry = Union[retries.AsyncRetry, gapic_v1.method._MethodDefault, None]
-except AttributeError:  # pragma: NO COVER
-    OptionalRetry = Union[retries.AsyncRetry, object, None]  # type: ignore
-
-from google.api_core import operation  # type: ignore
-from google.api_core import operation_async  # type: ignore
-from google.cloud.dataplex_v1.services.data_taxonomy_service import pagers
-from google.cloud.dataplex_v1.types import data_taxonomy
-from google.cloud.dataplex_v1.types import data_taxonomy as gcd_data_taxonomy
-from google.cloud.dataplex_v1.types import security
-from google.cloud.dataplex_v1.types import service
-from google.cloud.location import locations_pb2 # type: ignore
-from google.iam.v1 import iam_policy_pb2  # type: ignore
-from google.iam.v1 import policy_pb2  # type: ignore
-from google.longrunning import operations_pb2 # type: ignore
-from google.protobuf import empty_pb2  # type: ignore
-from google.protobuf import field_mask_pb2  # type: ignore
-from google.protobuf import timestamp_pb2  # type: ignore
-from .transports.base import DataTaxonomyServiceTransport, DEFAULT_CLIENT_INFO
-from .transports.grpc_asyncio import DataTaxonomyServiceGrpcAsyncIOTransport
-from .client import DataTaxonomyServiceClient
-
-
-class DataTaxonomyServiceAsyncClient:
-    """DataTaxonomyService enables attribute-based governance. The
-    resources currently offered include DataTaxonomy and
-    DataAttribute.
-    """
-
-    _client: DataTaxonomyServiceClient
-
-    # Copy defaults from the synchronous client for use here.
-    # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead.
-    DEFAULT_ENDPOINT = DataTaxonomyServiceClient.DEFAULT_ENDPOINT
-    DEFAULT_MTLS_ENDPOINT = DataTaxonomyServiceClient.DEFAULT_MTLS_ENDPOINT
-    _DEFAULT_ENDPOINT_TEMPLATE = DataTaxonomyServiceClient._DEFAULT_ENDPOINT_TEMPLATE
-    _DEFAULT_UNIVERSE = DataTaxonomyServiceClient._DEFAULT_UNIVERSE
-
-    data_attribute_path = staticmethod(DataTaxonomyServiceClient.data_attribute_path)
-    parse_data_attribute_path = staticmethod(DataTaxonomyServiceClient.parse_data_attribute_path)
-    data_attribute_binding_path = staticmethod(DataTaxonomyServiceClient.data_attribute_binding_path)
-    parse_data_attribute_binding_path = staticmethod(DataTaxonomyServiceClient.parse_data_attribute_binding_path)
-    data_taxonomy_path = staticmethod(DataTaxonomyServiceClient.data_taxonomy_path)
-    parse_data_taxonomy_path = staticmethod(DataTaxonomyServiceClient.parse_data_taxonomy_path)
-    common_billing_account_path = staticmethod(DataTaxonomyServiceClient.common_billing_account_path)
-    parse_common_billing_account_path = staticmethod(DataTaxonomyServiceClient.parse_common_billing_account_path)
-    common_folder_path = staticmethod(DataTaxonomyServiceClient.common_folder_path)
-    parse_common_folder_path = staticmethod(DataTaxonomyServiceClient.parse_common_folder_path)
-    common_organization_path = staticmethod(DataTaxonomyServiceClient.common_organization_path)
-    parse_common_organization_path = staticmethod(DataTaxonomyServiceClient.parse_common_organization_path)
-    common_project_path = staticmethod(DataTaxonomyServiceClient.common_project_path)
-    parse_common_project_path = staticmethod(DataTaxonomyServiceClient.parse_common_project_path)
-    common_location_path = staticmethod(DataTaxonomyServiceClient.common_location_path)
-    parse_common_location_path = staticmethod(DataTaxonomyServiceClient.parse_common_location_path)
-
-    @classmethod
-    def from_service_account_info(cls, info: dict, *args, **kwargs):
-        """Creates an instance of this client using the provided credentials
-            info.
-
-        Args:
-            info (dict): The service account private key info.
-            args: Additional arguments to pass to the constructor.
-            kwargs: Additional arguments to pass to the constructor.
-
-        Returns:
-            DataTaxonomyServiceAsyncClient: The constructed client.
-        """
-        return DataTaxonomyServiceClient.from_service_account_info.__func__(DataTaxonomyServiceAsyncClient, info, *args, **kwargs)  # type: ignore
-
-    @classmethod
-    def from_service_account_file(cls, filename: str, *args, **kwargs):
-        """Creates an instance of this client using the provided credentials
-            file.
-
-        Args:
-            filename (str): The path to the service account private key json
-                file.
-            args: Additional arguments to pass to the constructor.
-            kwargs: Additional arguments to pass to the constructor.
-
-        Returns:
-            DataTaxonomyServiceAsyncClient: The constructed client.
-        """
-        return DataTaxonomyServiceClient.from_service_account_file.__func__(DataTaxonomyServiceAsyncClient, filename, *args, **kwargs)  # type: ignore
-
-    from_service_account_json = from_service_account_file
-
-    @classmethod
-    def get_mtls_endpoint_and_cert_source(cls, client_options: Optional[ClientOptions] = None):
-        """Return the API endpoint and client cert source for mutual TLS.
-
-        The client cert source is determined in the following order:
-        (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the
-        client cert source is None.
-        (2) if `client_options.client_cert_source` is provided, use the provided one; if the
-        default client cert source exists, use the default one; otherwise the client cert
-        source is None.
-
-        The API endpoint is determined in the following order:
-        (1) if `client_options.api_endpoint` if provided, use the provided one.
-        (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the
-        default mTLS endpoint; if the environment variable is "never", use the default API
-        endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise
-        use the default API endpoint.
-
-        More details can be found at https://google.aip.dev/auth/4114.
-
-        Args:
-            client_options (google.api_core.client_options.ClientOptions): Custom options for the
-                client. Only the `api_endpoint` and `client_cert_source` properties may be used
-                in this method.
-
-        Returns:
-            Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the
-                client cert source to use.
-
-        Raises:
-            google.auth.exceptions.MutualTLSChannelError: If any errors happen.
-        """
-        return DataTaxonomyServiceClient.get_mtls_endpoint_and_cert_source(client_options)  # type: ignore
-
-    @property
-    def transport(self) -> DataTaxonomyServiceTransport:
-        """Returns the transport used by the client instance.
-
-        Returns:
-            DataTaxonomyServiceTransport: The transport used by the client instance.
-        """
-        return self._client.transport
-
-    @property
-    def api_endpoint(self):
-        """Return the API endpoint used by the client instance.
-
-        Returns:
-            str: The API endpoint used by the client instance.
-        """
-        return self._client._api_endpoint
-
-    @property
-    def universe_domain(self) -> str:
-        """Return the universe domain used by the client instance.
-
-        Returns:
-            str: The universe domain used
-                by the client instance.
-        """
-        return self._client._universe_domain
-
-    get_transport_class = DataTaxonomyServiceClient.get_transport_class
-
-    def __init__(self, *,
-            credentials: Optional[ga_credentials.Credentials] = None,
-            transport: Optional[Union[str, DataTaxonomyServiceTransport, Callable[..., DataTaxonomyServiceTransport]]] = "grpc_asyncio",
-            client_options: Optional[ClientOptions] = None,
-            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-            ) -> None:
-        """Instantiates the data taxonomy service async client.
-
-        Args:
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-            transport (Optional[Union[str,DataTaxonomyServiceTransport,Callable[..., DataTaxonomyServiceTransport]]]):
-                The transport to use, or a Callable that constructs and returns a new transport to use.
-                If a Callable is given, it will be called with the same set of initialization
-                arguments as used in the DataTaxonomyServiceTransport constructor.
-                If set to None, a transport is chosen automatically.
-            client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]):
-                Custom options for the client.
-
-                1. The ``api_endpoint`` property can be used to override the
-                default endpoint provided by the client when ``transport`` is
-                not explicitly provided. Only if this property is not set and
-                ``transport`` was not explicitly provided, the endpoint is
-                determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment
-                variable, which have one of the following values:
-                "always" (always use the default mTLS endpoint), "never" (always
-                use the default regular endpoint) and "auto" (auto-switch to the
-                default mTLS endpoint if client certificate is present; this is
-                the default value).
-
-                2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable
-                is "true", then the ``client_cert_source`` property can be used
-                to provide a client certificate for mTLS transport. If
-                not provided, the default SSL client certificate will be used if
-                present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not
-                set, no client certificate will be used.
-
-                3. The ``universe_domain`` property can be used to override the
-                default "googleapis.com" universe. Note that ``api_endpoint``
-                property still takes precedence; and ``universe_domain`` is
-                currently not supported for mTLS.
-
-            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
-                The client info used to send a user-agent string along with
-                API requests. If ``None``, then default info will be used.
-                Generally, you only need to set this if you're developing
-                your own client library.
-
-        Raises:
-            google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport
-                creation failed for any reason.
-        """
-        self._client = DataTaxonomyServiceClient(
-            credentials=credentials,
-            transport=transport,
-            client_options=client_options,
-            client_info=client_info,
-
-        )
-
-    async def create_data_taxonomy(self,
-            request: Optional[Union[gcd_data_taxonomy.CreateDataTaxonomyRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            data_taxonomy: Optional[gcd_data_taxonomy.DataTaxonomy] = None,
-            data_taxonomy_id: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation_async.AsyncOperation:
-        r"""Create a DataTaxonomy resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_create_data_taxonomy():
-                # Create a client
-                client = dataplex_v1.DataTaxonomyServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.CreateDataTaxonomyRequest(
-                    parent="parent_value",
-                    data_taxonomy_id="data_taxonomy_id_value",
-                )
-
-                # Make the request
-                operation = client.create_data_taxonomy(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = (await operation).result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.CreateDataTaxonomyRequest, dict]]):
-                The request object. Create DataTaxonomy request.
-            parent (:class:`str`):
-                Required. The resource name of the data taxonomy
-                location, of the form:
-                projects/{project_number}/locations/{location_id} where
-                ``location_id`` refers to a GCP region.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            data_taxonomy (:class:`google.cloud.dataplex_v1.types.DataTaxonomy`):
-                Required. DataTaxonomy resource.
-                This corresponds to the ``data_taxonomy`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            data_taxonomy_id (:class:`str`):
-                Required. DataTaxonomy identifier.
-
-                -  Must contain only lowercase letters, numbers and
-                   hyphens.
-                -  Must start with a letter.
-                -  Must be between 1-63 characters.
-                -  Must end with a number or a letter.
-                -  Must be unique within the Project.
-
-                This corresponds to the ``data_taxonomy_id`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation_async.AsyncOperation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.DataTaxonomy` DataTaxonomy represents a set of hierarchical DataAttributes resources,
-                   grouped with a common theme Eg:
-                   'SensitiveDataTaxonomy' can have attributes to manage
-                   PII data. It is defined at project level.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent, data_taxonomy, data_taxonomy_id])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, gcd_data_taxonomy.CreateDataTaxonomyRequest):
-            request = gcd_data_taxonomy.CreateDataTaxonomyRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if parent is not None:
-            request.parent = parent
-        if data_taxonomy is not None:
-            request.data_taxonomy = data_taxonomy
-        if data_taxonomy_id is not None:
-            request.data_taxonomy_id = data_taxonomy_id
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.create_data_taxonomy]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation_async.from_gapic(
-            response,
-            self._client._transport.operations_client,
-            gcd_data_taxonomy.DataTaxonomy,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def update_data_taxonomy(self,
-            request: Optional[Union[gcd_data_taxonomy.UpdateDataTaxonomyRequest, dict]] = None,
-            *,
-            data_taxonomy: Optional[gcd_data_taxonomy.DataTaxonomy] = None,
-            update_mask: Optional[field_mask_pb2.FieldMask] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation_async.AsyncOperation:
-        r"""Updates a DataTaxonomy resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_update_data_taxonomy():
-                # Create a client
-                client = dataplex_v1.DataTaxonomyServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.UpdateDataTaxonomyRequest(
-                )
-
-                # Make the request
-                operation = client.update_data_taxonomy(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = (await operation).result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.UpdateDataTaxonomyRequest, dict]]):
-                The request object. Update DataTaxonomy request.
-            data_taxonomy (:class:`google.cloud.dataplex_v1.types.DataTaxonomy`):
-                Required. Only fields specified in ``update_mask`` are
-                updated.
-
-                This corresponds to the ``data_taxonomy`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`):
-                Required. Mask of fields to update.
-                This corresponds to the ``update_mask`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation_async.AsyncOperation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.DataTaxonomy` DataTaxonomy represents a set of hierarchical DataAttributes resources,
-                   grouped with a common theme Eg:
-                   'SensitiveDataTaxonomy' can have attributes to manage
-                   PII data. It is defined at project level.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([data_taxonomy, update_mask])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, gcd_data_taxonomy.UpdateDataTaxonomyRequest):
-            request = gcd_data_taxonomy.UpdateDataTaxonomyRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if data_taxonomy is not None:
-            request.data_taxonomy = data_taxonomy
-        if update_mask is not None:
-            request.update_mask = update_mask
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.update_data_taxonomy]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("data_taxonomy.name", request.data_taxonomy.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation_async.from_gapic(
-            response,
-            self._client._transport.operations_client,
-            gcd_data_taxonomy.DataTaxonomy,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def delete_data_taxonomy(self,
-            request: Optional[Union[data_taxonomy.DeleteDataTaxonomyRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation_async.AsyncOperation:
-        r"""Deletes a DataTaxonomy resource. All attributes
-        within the DataTaxonomy must be deleted before the
-        DataTaxonomy can be deleted.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_delete_data_taxonomy():
-                # Create a client
-                client = dataplex_v1.DataTaxonomyServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.DeleteDataTaxonomyRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                operation = client.delete_data_taxonomy(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = (await operation).result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.DeleteDataTaxonomyRequest, dict]]):
-                The request object. Delete DataTaxonomy request.
-            name (:class:`str`):
-                Required. The resource name of the DataTaxonomy:
-                projects/{project_number}/locations/{location_id}/dataTaxonomies/{data_taxonomy_id}
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation_async.AsyncOperation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
-                   empty messages in your APIs. A typical example is to
-                   use it as the request or the response type of an API
-                   method. For instance:
-
-                      service Foo {
-                         rpc Bar(google.protobuf.Empty) returns
-                         (google.protobuf.Empty);
-
-                      }
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, data_taxonomy.DeleteDataTaxonomyRequest):
-            request = data_taxonomy.DeleteDataTaxonomyRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.delete_data_taxonomy]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation_async.from_gapic(
-            response,
-            self._client._transport.operations_client,
-            empty_pb2.Empty,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def list_data_taxonomies(self,
-            request: Optional[Union[data_taxonomy.ListDataTaxonomiesRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> pagers.ListDataTaxonomiesAsyncPager:
-        r"""Lists DataTaxonomy resources in a project and
-        location.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_list_data_taxonomies():
-                # Create a client
-                client = dataplex_v1.DataTaxonomyServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.ListDataTaxonomiesRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_data_taxonomies(request=request)
-
-                # Handle the response
-                async for response in page_result:
-                    print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.ListDataTaxonomiesRequest, dict]]):
-                The request object. List DataTaxonomies request.
-            parent (:class:`str`):
-                Required. The resource name of the DataTaxonomy
-                location, of the form:
-                projects/{project_number}/locations/{location_id} where
-                ``location_id`` refers to a GCP region.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.services.data_taxonomy_service.pagers.ListDataTaxonomiesAsyncPager:
-                List DataTaxonomies response.
-
-                Iterating over this object will yield
-                results and resolve additional pages
-                automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, data_taxonomy.ListDataTaxonomiesRequest):
-            request = data_taxonomy.ListDataTaxonomiesRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if parent is not None:
-            request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.list_data_taxonomies]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__aiter__` convenience method.
-        response = pagers.ListDataTaxonomiesAsyncPager(
-            method=rpc,
-            request=request,
-            response=response,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def get_data_taxonomy(self,
-            request: Optional[Union[data_taxonomy.GetDataTaxonomyRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> data_taxonomy.DataTaxonomy:
-        r"""Retrieves a DataTaxonomy resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_get_data_taxonomy():
-                # Create a client
-                client = dataplex_v1.DataTaxonomyServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.GetDataTaxonomyRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = await client.get_data_taxonomy(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.GetDataTaxonomyRequest, dict]]):
-                The request object. Get DataTaxonomy request.
-            name (:class:`str`):
-                Required. The resource name of the DataTaxonomy:
-                projects/{project_number}/locations/{location_id}/dataTaxonomies/{data_taxonomy_id}
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.DataTaxonomy:
-                DataTaxonomy represents a set of
-                hierarchical DataAttributes resources,
-                grouped with a common theme Eg:
-                'SensitiveDataTaxonomy' can have
-                attributes to manage PII data. It is
-                defined at project level.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, data_taxonomy.GetDataTaxonomyRequest):
-            request = data_taxonomy.GetDataTaxonomyRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.get_data_taxonomy]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def create_data_attribute_binding(self,
-            request: Optional[Union[data_taxonomy.CreateDataAttributeBindingRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            data_attribute_binding: Optional[data_taxonomy.DataAttributeBinding] = None,
-            data_attribute_binding_id: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation_async.AsyncOperation:
-        r"""Create a DataAttributeBinding resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_create_data_attribute_binding():
-                # Create a client
-                client = dataplex_v1.DataTaxonomyServiceAsyncClient()
-
-                # Initialize request argument(s)
-                data_attribute_binding = dataplex_v1.DataAttributeBinding()
-                data_attribute_binding.resource = "resource_value"
-
-                request = dataplex_v1.CreateDataAttributeBindingRequest(
-                    parent="parent_value",
-                    data_attribute_binding_id="data_attribute_binding_id_value",
-                    data_attribute_binding=data_attribute_binding,
-                )
-
-                # Make the request
-                operation = client.create_data_attribute_binding(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = (await operation).result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.CreateDataAttributeBindingRequest, dict]]):
-                The request object. Create DataAttributeBinding request.
-            parent (:class:`str`):
-                Required. The resource name of the parent data taxonomy
-                projects/{project_number}/locations/{location_id}
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            data_attribute_binding (:class:`google.cloud.dataplex_v1.types.DataAttributeBinding`):
-                Required. DataAttributeBinding
-                resource.
-
-                This corresponds to the ``data_attribute_binding`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            data_attribute_binding_id (:class:`str`):
-                Required. DataAttributeBinding identifier.
-
-                -  Must contain only lowercase letters, numbers and
-                   hyphens.
-                -  Must start with a letter.
-                -  Must be between 1-63 characters.
-                -  Must end with a number or a letter.
-                -  Must be unique within the Location.
-
-                This corresponds to the ``data_attribute_binding_id`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation_async.AsyncOperation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.DataAttributeBinding` DataAttributeBinding represents binding of attributes to resources. Eg: Bind
-                   'CustomerInfo' entity with 'PII' attribute.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent, data_attribute_binding, data_attribute_binding_id])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, data_taxonomy.CreateDataAttributeBindingRequest):
-            request = data_taxonomy.CreateDataAttributeBindingRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if parent is not None:
-            request.parent = parent
-        if data_attribute_binding is not None:
-            request.data_attribute_binding = data_attribute_binding
-        if data_attribute_binding_id is not None:
-            request.data_attribute_binding_id = data_attribute_binding_id
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.create_data_attribute_binding]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation_async.from_gapic(
-            response,
-            self._client._transport.operations_client,
-            data_taxonomy.DataAttributeBinding,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def update_data_attribute_binding(self,
-            request: Optional[Union[data_taxonomy.UpdateDataAttributeBindingRequest, dict]] = None,
-            *,
-            data_attribute_binding: Optional[data_taxonomy.DataAttributeBinding] = None,
-            update_mask: Optional[field_mask_pb2.FieldMask] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation_async.AsyncOperation:
-        r"""Updates a DataAttributeBinding resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_update_data_attribute_binding():
-                # Create a client
-                client = dataplex_v1.DataTaxonomyServiceAsyncClient()
-
-                # Initialize request argument(s)
-                data_attribute_binding = dataplex_v1.DataAttributeBinding()
-                data_attribute_binding.resource = "resource_value"
-
-                request = dataplex_v1.UpdateDataAttributeBindingRequest(
-                    data_attribute_binding=data_attribute_binding,
-                )
-
-                # Make the request
-                operation = client.update_data_attribute_binding(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = (await operation).result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.UpdateDataAttributeBindingRequest, dict]]):
-                The request object. Update DataAttributeBinding request.
-            data_attribute_binding (:class:`google.cloud.dataplex_v1.types.DataAttributeBinding`):
-                Required. Only fields specified in ``update_mask`` are
-                updated.
-
-                This corresponds to the ``data_attribute_binding`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`):
-                Required. Mask of fields to update.
-                This corresponds to the ``update_mask`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation_async.AsyncOperation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.DataAttributeBinding` DataAttributeBinding represents binding of attributes to resources. Eg: Bind
-                   'CustomerInfo' entity with 'PII' attribute.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([data_attribute_binding, update_mask])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, data_taxonomy.UpdateDataAttributeBindingRequest):
-            request = data_taxonomy.UpdateDataAttributeBindingRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if data_attribute_binding is not None:
-            request.data_attribute_binding = data_attribute_binding
-        if update_mask is not None:
-            request.update_mask = update_mask
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.update_data_attribute_binding]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("data_attribute_binding.name", request.data_attribute_binding.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation_async.from_gapic(
-            response,
-            self._client._transport.operations_client,
-            data_taxonomy.DataAttributeBinding,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def delete_data_attribute_binding(self,
-            request: Optional[Union[data_taxonomy.DeleteDataAttributeBindingRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation_async.AsyncOperation:
-        r"""Deletes a DataAttributeBinding resource. All
-        attributes within the DataAttributeBinding must be
-        deleted before the DataAttributeBinding can be deleted.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_delete_data_attribute_binding():
-                # Create a client
-                client = dataplex_v1.DataTaxonomyServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.DeleteDataAttributeBindingRequest(
-                    name="name_value",
-                    etag="etag_value",
-                )
-
-                # Make the request
-                operation = client.delete_data_attribute_binding(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = (await operation).result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.DeleteDataAttributeBindingRequest, dict]]):
-                The request object. Delete DataAttributeBinding request.
-            name (:class:`str`):
-                Required. The resource name of the DataAttributeBinding:
-                projects/{project_number}/locations/{location_id}/dataAttributeBindings/{data_attribute_binding_id}
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation_async.AsyncOperation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
-                   empty messages in your APIs. A typical example is to
-                   use it as the request or the response type of an API
-                   method. For instance:
-
-                      service Foo {
-                         rpc Bar(google.protobuf.Empty) returns
-                         (google.protobuf.Empty);
-
-                      }
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, data_taxonomy.DeleteDataAttributeBindingRequest):
-            request = data_taxonomy.DeleteDataAttributeBindingRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.delete_data_attribute_binding]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation_async.from_gapic(
-            response,
-            self._client._transport.operations_client,
-            empty_pb2.Empty,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def list_data_attribute_bindings(self,
-            request: Optional[Union[data_taxonomy.ListDataAttributeBindingsRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> pagers.ListDataAttributeBindingsAsyncPager:
-        r"""Lists DataAttributeBinding resources in a project and
-        location.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_list_data_attribute_bindings():
-                # Create a client
-                client = dataplex_v1.DataTaxonomyServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.ListDataAttributeBindingsRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_data_attribute_bindings(request=request)
-
-                # Handle the response
-                async for response in page_result:
-                    print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.ListDataAttributeBindingsRequest, dict]]):
-                The request object. List DataAttributeBindings request.
-            parent (:class:`str`):
-                Required. The resource name of the Location:
-                projects/{project_number}/locations/{location_id}
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.services.data_taxonomy_service.pagers.ListDataAttributeBindingsAsyncPager:
-                List DataAttributeBindings response.
-
-                Iterating over this object will yield
-                results and resolve additional pages
-                automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, data_taxonomy.ListDataAttributeBindingsRequest):
-            request = data_taxonomy.ListDataAttributeBindingsRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if parent is not None:
-            request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.list_data_attribute_bindings]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__aiter__` convenience method.
-        response = pagers.ListDataAttributeBindingsAsyncPager(
-            method=rpc,
-            request=request,
-            response=response,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def get_data_attribute_binding(self,
-            request: Optional[Union[data_taxonomy.GetDataAttributeBindingRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> data_taxonomy.DataAttributeBinding:
-        r"""Retrieves a DataAttributeBinding resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_get_data_attribute_binding():
-                # Create a client
-                client = dataplex_v1.DataTaxonomyServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.GetDataAttributeBindingRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = await client.get_data_attribute_binding(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.GetDataAttributeBindingRequest, dict]]):
-                The request object. Get DataAttributeBinding request.
-            name (:class:`str`):
-                Required. The resource name of the DataAttributeBinding:
-                projects/{project_number}/locations/{location_id}/dataAttributeBindings/{data_attribute_binding_id}
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.DataAttributeBinding:
-                DataAttributeBinding represents
-                binding of attributes to resources. Eg:
-                Bind 'CustomerInfo' entity with 'PII'
-                attribute.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, data_taxonomy.GetDataAttributeBindingRequest):
-            request = data_taxonomy.GetDataAttributeBindingRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.get_data_attribute_binding]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def create_data_attribute(self,
-            request: Optional[Union[data_taxonomy.CreateDataAttributeRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            data_attribute: Optional[data_taxonomy.DataAttribute] = None,
-            data_attribute_id: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation_async.AsyncOperation:
-        r"""Create a DataAttribute resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_create_data_attribute():
-                # Create a client
-                client = dataplex_v1.DataTaxonomyServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.CreateDataAttributeRequest(
-                    parent="parent_value",
-                    data_attribute_id="data_attribute_id_value",
-                )
-
-                # Make the request
-                operation = client.create_data_attribute(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = (await operation).result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.CreateDataAttributeRequest, dict]]):
-                The request object. Create DataAttribute request.
-            parent (:class:`str`):
-                Required. The resource name of the parent data taxonomy
-                projects/{project_number}/locations/{location_id}/dataTaxonomies/{data_taxonomy_id}
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            data_attribute (:class:`google.cloud.dataplex_v1.types.DataAttribute`):
-                Required. DataAttribute resource.
-                This corresponds to the ``data_attribute`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            data_attribute_id (:class:`str`):
-                Required. DataAttribute identifier.
-
-                -  Must contain only lowercase letters, numbers and
-                   hyphens.
-                -  Must start with a letter.
-                -  Must be between 1-63 characters.
-                -  Must end with a number or a letter.
-                -  Must be unique within the DataTaxonomy.
-
-                This corresponds to the ``data_attribute_id`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation_async.AsyncOperation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.DataAttribute` Denotes one dataAttribute in a dataTaxonomy, for example, PII.
-                   DataAttribute resources can be defined in a
-                   hierarchy. A single dataAttribute resource can
-                   contain specs of multiple types
-
-                   :literal:`\` PII   - ResourceAccessSpec :                 - readers :foo@bar.com   - DataAccessSpec :                 - readers :bar@foo.com`\ \`
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent, data_attribute, data_attribute_id])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, data_taxonomy.CreateDataAttributeRequest):
-            request = data_taxonomy.CreateDataAttributeRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if parent is not None:
-            request.parent = parent
-        if data_attribute is not None:
-            request.data_attribute = data_attribute
-        if data_attribute_id is not None:
-            request.data_attribute_id = data_attribute_id
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.create_data_attribute]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation_async.from_gapic(
-            response,
-            self._client._transport.operations_client,
-            data_taxonomy.DataAttribute,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def update_data_attribute(self,
-            request: Optional[Union[data_taxonomy.UpdateDataAttributeRequest, dict]] = None,
-            *,
-            data_attribute: Optional[data_taxonomy.DataAttribute] = None,
-            update_mask: Optional[field_mask_pb2.FieldMask] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation_async.AsyncOperation:
-        r"""Updates a DataAttribute resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_update_data_attribute():
-                # Create a client
-                client = dataplex_v1.DataTaxonomyServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.UpdateDataAttributeRequest(
-                )
-
-                # Make the request
-                operation = client.update_data_attribute(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = (await operation).result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.UpdateDataAttributeRequest, dict]]):
-                The request object. Update DataAttribute request.
-            data_attribute (:class:`google.cloud.dataplex_v1.types.DataAttribute`):
-                Required. Only fields specified in ``update_mask`` are
-                updated.
-
-                This corresponds to the ``data_attribute`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`):
-                Required. Mask of fields to update.
-                This corresponds to the ``update_mask`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation_async.AsyncOperation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.DataAttribute` Denotes one dataAttribute in a dataTaxonomy, for example, PII.
-                   DataAttribute resources can be defined in a
-                   hierarchy. A single dataAttribute resource can
-                   contain specs of multiple types
-
-                   :literal:`\` PII   - ResourceAccessSpec :                 - readers :foo@bar.com   - DataAccessSpec :                 - readers :bar@foo.com`\ \`
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([data_attribute, update_mask])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, data_taxonomy.UpdateDataAttributeRequest):
-            request = data_taxonomy.UpdateDataAttributeRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if data_attribute is not None:
-            request.data_attribute = data_attribute
-        if update_mask is not None:
-            request.update_mask = update_mask
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.update_data_attribute]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("data_attribute.name", request.data_attribute.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation_async.from_gapic(
-            response,
-            self._client._transport.operations_client,
-            data_taxonomy.DataAttribute,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def delete_data_attribute(self,
-            request: Optional[Union[data_taxonomy.DeleteDataAttributeRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation_async.AsyncOperation:
-        r"""Deletes a Data Attribute resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_delete_data_attribute():
-                # Create a client
-                client = dataplex_v1.DataTaxonomyServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.DeleteDataAttributeRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                operation = client.delete_data_attribute(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = (await operation).result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.DeleteDataAttributeRequest, dict]]):
-                The request object. Delete DataAttribute request.
-            name (:class:`str`):
-                Required. The resource name of the DataAttribute:
-                projects/{project_number}/locations/{location_id}/dataTaxonomies/{dataTaxonomy}/attributes/{data_attribute_id}
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation_async.AsyncOperation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
-                   empty messages in your APIs. A typical example is to
-                   use it as the request or the response type of an API
-                   method. For instance:
-
-                      service Foo {
-                         rpc Bar(google.protobuf.Empty) returns
-                         (google.protobuf.Empty);
-
-                      }
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, data_taxonomy.DeleteDataAttributeRequest):
-            request = data_taxonomy.DeleteDataAttributeRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.delete_data_attribute]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation_async.from_gapic(
-            response,
-            self._client._transport.operations_client,
-            empty_pb2.Empty,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def list_data_attributes(self,
-            request: Optional[Union[data_taxonomy.ListDataAttributesRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> pagers.ListDataAttributesAsyncPager:
-        r"""Lists Data Attribute resources in a DataTaxonomy.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_list_data_attributes():
-                # Create a client
-                client = dataplex_v1.DataTaxonomyServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.ListDataAttributesRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_data_attributes(request=request)
-
-                # Handle the response
-                async for response in page_result:
-                    print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.ListDataAttributesRequest, dict]]):
-                The request object. List DataAttributes request.
-            parent (:class:`str`):
-                Required. The resource name of the DataTaxonomy:
-                projects/{project_number}/locations/{location_id}/dataTaxonomies/{data_taxonomy_id}
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.services.data_taxonomy_service.pagers.ListDataAttributesAsyncPager:
-                List DataAttributes response.
-
-                Iterating over this object will yield
-                results and resolve additional pages
-                automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, data_taxonomy.ListDataAttributesRequest):
-            request = data_taxonomy.ListDataAttributesRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if parent is not None:
-            request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.list_data_attributes]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__aiter__` convenience method.
-        response = pagers.ListDataAttributesAsyncPager(
-            method=rpc,
-            request=request,
-            response=response,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def get_data_attribute(self,
-            request: Optional[Union[data_taxonomy.GetDataAttributeRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> data_taxonomy.DataAttribute:
-        r"""Retrieves a Data Attribute resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_get_data_attribute():
-                # Create a client
-                client = dataplex_v1.DataTaxonomyServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.GetDataAttributeRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = await client.get_data_attribute(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.GetDataAttributeRequest, dict]]):
-                The request object. Get DataAttribute request.
-            name (:class:`str`):
-                Required. The resource name of the dataAttribute:
-                projects/{project_number}/locations/{location_id}/dataTaxonomies/{dataTaxonomy}/attributes/{data_attribute_id}
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.DataAttribute:
-                Denotes one dataAttribute in a dataTaxonomy, for example, PII.
-                   DataAttribute resources can be defined in a
-                   hierarchy. A single dataAttribute resource can
-                   contain specs of multiple types
-
-                   :literal:`\` PII   - ResourceAccessSpec :                 - readers :foo@bar.com   - DataAccessSpec :                 - readers :bar@foo.com`\ \`
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, data_taxonomy.GetDataAttributeRequest):
-            request = data_taxonomy.GetDataAttributeRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.get_data_attribute]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def list_operations(
-        self,
-        request: Optional[operations_pb2.ListOperationsRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operations_pb2.ListOperationsResponse:
-        r"""Lists operations that match the specified filter in the request.
-
-        Args:
-            request (:class:`~.operations_pb2.ListOperationsRequest`):
-                The request object. Request message for
-                `ListOperations` method.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.operations_pb2.ListOperationsResponse:
-                Response message for ``ListOperations`` method.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.ListOperationsRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self.transport._wrapped_methods[self._client._transport.list_operations]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request, retry=retry, timeout=timeout, metadata=metadata,)
-
-        # Done; return the response.
-        return response
-
-    async def get_operation(
-        self,
-        request: Optional[operations_pb2.GetOperationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operations_pb2.Operation:
-        r"""Gets the latest state of a long-running operation.
-
-        Args:
-            request (:class:`~.operations_pb2.GetOperationRequest`):
-                The request object. Request message for
-                `GetOperation` method.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.operations_pb2.Operation:
-                An ``Operation`` object.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.GetOperationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self.transport._wrapped_methods[self._client._transport.get_operation]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request, retry=retry, timeout=timeout, metadata=metadata,)
-
-        # Done; return the response.
-        return response
-
-    async def delete_operation(
-        self,
-        request: Optional[operations_pb2.DeleteOperationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> None:
-        r"""Deletes a long-running operation.
-
-        This method indicates that the client is no longer interested
-        in the operation result. It does not cancel the operation.
-        If the server doesn't support this method, it returns
-        `google.rpc.Code.UNIMPLEMENTED`.
-
-        Args:
-            request (:class:`~.operations_pb2.DeleteOperationRequest`):
-                The request object. Request message for
-                `DeleteOperation` method.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            None
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.DeleteOperationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self.transport._wrapped_methods[self._client._transport.delete_operation]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        await rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
-
-    async def cancel_operation(
-        self,
-        request: Optional[operations_pb2.CancelOperationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> None:
-        r"""Starts asynchronous cancellation on a long-running operation.
-
-        The server makes a best effort to cancel the operation, but success
-        is not guaranteed.  If the server doesn't support this method, it returns
-        `google.rpc.Code.UNIMPLEMENTED`.
-
-        Args:
-            request (:class:`~.operations_pb2.CancelOperationRequest`):
-                The request object. Request message for
-                `CancelOperation` method.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            None
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.CancelOperationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self.transport._wrapped_methods[self._client._transport.cancel_operation]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        await rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
-
-    async def get_location(
-        self,
-        request: Optional[locations_pb2.GetLocationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> locations_pb2.Location:
-        r"""Gets information about a location.
-
-        Args:
-            request (:class:`~.location_pb2.GetLocationRequest`):
-                The request object. Request message for
-                `GetLocation` method.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
-                 if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.location_pb2.Location:
-                Location object.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = locations_pb2.GetLocationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self.transport._wrapped_methods[self._client._transport.get_location]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request, retry=retry, timeout=timeout, metadata=metadata,)
-
-        # Done; return the response.
-        return response
-
-    async def list_locations(
-        self,
-        request: Optional[locations_pb2.ListLocationsRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> locations_pb2.ListLocationsResponse:
-        r"""Lists information about the supported locations for this service.
-
-        Args:
-            request (:class:`~.location_pb2.ListLocationsRequest`):
-                The request object. Request message for
-                `ListLocations` method.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
-                 if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.location_pb2.ListLocationsResponse:
-                Response message for ``ListLocations`` method.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = locations_pb2.ListLocationsRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self.transport._wrapped_methods[self._client._transport.list_locations]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request, retry=retry, timeout=timeout, metadata=metadata,)
-
-        # Done; return the response.
-        return response
-
-    async def __aenter__(self) -> "DataTaxonomyServiceAsyncClient":
-        return self
-
-    async def __aexit__(self, exc_type, exc, tb):
-        await self.transport.close()
-
-DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(gapic_version=package_version.__version__)
-
-
-__all__ = (
-    "DataTaxonomyServiceAsyncClient",
-)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_taxonomy_service/client.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_taxonomy_service/client.py
deleted file mode 100644
index 599bb5d7fd8f..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_taxonomy_service/client.py
+++ /dev/null
@@ -1,2746 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from collections import OrderedDict
-import os
-import re
-from typing import Dict, Callable, Mapping, MutableMapping, MutableSequence, Optional, Sequence, Tuple, Type, Union, cast
-import warnings
-
-from google.cloud.dataplex_v1 import gapic_version as package_version
-
-from google.api_core import client_options as client_options_lib
-from google.api_core import exceptions as core_exceptions
-from google.api_core import gapic_v1
-from google.api_core import retry as retries
-from google.auth import credentials as ga_credentials             # type: ignore
-from google.auth.transport import mtls                            # type: ignore
-from google.auth.transport.grpc import SslCredentials             # type: ignore
-from google.auth.exceptions import MutualTLSChannelError          # type: ignore
-from google.oauth2 import service_account                         # type: ignore
-
-try:
-    OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None]
-except AttributeError:  # pragma: NO COVER
-    OptionalRetry = Union[retries.Retry, object, None]  # type: ignore
-
-from google.api_core import operation  # type: ignore
-from google.api_core import operation_async  # type: ignore
-from google.cloud.dataplex_v1.services.data_taxonomy_service import pagers
-from google.cloud.dataplex_v1.types import data_taxonomy
-from google.cloud.dataplex_v1.types import data_taxonomy as gcd_data_taxonomy
-from google.cloud.dataplex_v1.types import security
-from google.cloud.dataplex_v1.types import service
-from google.cloud.location import locations_pb2 # type: ignore
-from google.iam.v1 import iam_policy_pb2  # type: ignore
-from google.iam.v1 import policy_pb2  # type: ignore
-from google.longrunning import operations_pb2 # type: ignore
-from google.protobuf import empty_pb2  # type: ignore
-from google.protobuf import field_mask_pb2  # type: ignore
-from google.protobuf import timestamp_pb2  # type: ignore
-from .transports.base import DataTaxonomyServiceTransport, DEFAULT_CLIENT_INFO
-from .transports.grpc import DataTaxonomyServiceGrpcTransport
-from .transports.grpc_asyncio import DataTaxonomyServiceGrpcAsyncIOTransport
-
-
-class DataTaxonomyServiceClientMeta(type):
-    """Metaclass for the DataTaxonomyService client.
-
-    This provides class-level methods for building and retrieving
-    support objects (e.g. transport) without polluting the client instance
-    objects.
-    """
-    _transport_registry = OrderedDict()  # type: Dict[str, Type[DataTaxonomyServiceTransport]]
-    _transport_registry["grpc"] = DataTaxonomyServiceGrpcTransport
-    _transport_registry["grpc_asyncio"] = DataTaxonomyServiceGrpcAsyncIOTransport
-
-    def get_transport_class(cls,
-            label: Optional[str] = None,
-        ) -> Type[DataTaxonomyServiceTransport]:
-        """Returns an appropriate transport class.
-
-        Args:
-            label: The name of the desired transport. If none is
-                provided, then the first transport in the registry is used.
-
-        Returns:
-            The transport class to use.
-        """
-        # If a specific transport is requested, return that one.
-        if label:
-            return cls._transport_registry[label]
-
-        # No transport is requested; return the default (that is, the first one
-        # in the dictionary).
-        return next(iter(cls._transport_registry.values()))
-
-
-class DataTaxonomyServiceClient(metaclass=DataTaxonomyServiceClientMeta):
-    """DataTaxonomyService enables attribute-based governance. The
-    resources currently offered include DataTaxonomy and
-    DataAttribute.
-    """
-
-    @staticmethod
-    def _get_default_mtls_endpoint(api_endpoint):
-        """Converts api endpoint to mTLS endpoint.
-
-        Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to
-        "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively.
-        Args:
-            api_endpoint (Optional[str]): the api endpoint to convert.
-        Returns:
-            str: converted mTLS api endpoint.
-        """
-        if not api_endpoint:
-            return api_endpoint
-
-        mtls_endpoint_re = re.compile(
-            r"(?P<name>[^.]+)(?P<mtls>\.mtls)?(?P<sandbox>\.sandbox)?(?P<googledomain>\.googleapis\.com)?"
-        )
-
-        m = mtls_endpoint_re.match(api_endpoint)
-        name, mtls, sandbox, googledomain = m.groups()
-        if mtls or not googledomain:
-            return api_endpoint
-
-        if sandbox:
-            return api_endpoint.replace(
-                "sandbox.googleapis.com", "mtls.sandbox.googleapis.com"
-            )
-
-        return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com")
-
-    # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead.
-    DEFAULT_ENDPOINT = "dataplex.googleapis.com"
-    DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__(  # type: ignore
-        DEFAULT_ENDPOINT
-    )
-
-    _DEFAULT_ENDPOINT_TEMPLATE = "dataplex.{UNIVERSE_DOMAIN}"
-    _DEFAULT_UNIVERSE = "googleapis.com"
-
-    @classmethod
-    def from_service_account_info(cls, info: dict, *args, **kwargs):
-        """Creates an instance of this client using the provided credentials
-            info.
-
-        Args:
-            info (dict): The service account private key info.
-            args: Additional arguments to pass to the constructor.
-            kwargs: Additional arguments to pass to the constructor.
-
-        Returns:
-            DataTaxonomyServiceClient: The constructed client.
-        """
-        credentials = service_account.Credentials.from_service_account_info(info)
-        kwargs["credentials"] = credentials
-        return cls(*args, **kwargs)
-
-    @classmethod
-    def from_service_account_file(cls, filename: str, *args, **kwargs):
-        """Creates an instance of this client using the provided credentials
-            file.
-
-        Args:
-            filename (str): The path to the service account private key json
-                file.
-            args: Additional arguments to pass to the constructor.
-            kwargs: Additional arguments to pass to the constructor.
-
-        Returns:
-            DataTaxonomyServiceClient: The constructed client.
-        """
-        credentials = service_account.Credentials.from_service_account_file(
-            filename)
-        kwargs["credentials"] = credentials
-        return cls(*args, **kwargs)
-
-    from_service_account_json = from_service_account_file
-
-    @property
-    def transport(self) -> DataTaxonomyServiceTransport:
-        """Returns the transport used by the client instance.
-
-        Returns:
-            DataTaxonomyServiceTransport: The transport used by the client
-                instance.
-        """
-        return self._transport
-
-    @staticmethod
-    def data_attribute_path(project: str,location: str,dataTaxonomy: str,data_attribute_id: str,) -> str:
-        """Returns a fully-qualified data_attribute string."""
-        return "projects/{project}/locations/{location}/dataTaxonomies/{dataTaxonomy}/attributes/{data_attribute_id}".format(project=project, location=location, dataTaxonomy=dataTaxonomy, data_attribute_id=data_attribute_id, )
-
-    @staticmethod
-    def parse_data_attribute_path(path: str) -> Dict[str,str]:
-        """Parses a data_attribute path into its component segments."""
-        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/dataTaxonomies/(?P<dataTaxonomy>.+?)/attributes/(?P<data_attribute_id>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def data_attribute_binding_path(project: str,location: str,data_attribute_binding_id: str,) -> str:
-        """Returns a fully-qualified data_attribute_binding string."""
-        return "projects/{project}/locations/{location}/dataAttributeBindings/{data_attribute_binding_id}".format(project=project, location=location, data_attribute_binding_id=data_attribute_binding_id, )
-
-    @staticmethod
-    def parse_data_attribute_binding_path(path: str) -> Dict[str,str]:
-        """Parses a data_attribute_binding path into its component segments."""
-        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/dataAttributeBindings/(?P<data_attribute_binding_id>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def data_taxonomy_path(project: str,location: str,data_taxonomy_id: str,) -> str:
-        """Returns a fully-qualified data_taxonomy string."""
-        return "projects/{project}/locations/{location}/dataTaxonomies/{data_taxonomy_id}".format(project=project, location=location, data_taxonomy_id=data_taxonomy_id, )
-
-    @staticmethod
-    def parse_data_taxonomy_path(path: str) -> Dict[str,str]:
-        """Parses a data_taxonomy path into its component segments."""
-        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/dataTaxonomies/(?P<data_taxonomy_id>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def common_billing_account_path(billing_account: str, ) -> str:
-        """Returns a fully-qualified billing_account string."""
-        return "billingAccounts/{billing_account}".format(billing_account=billing_account, )
-
-    @staticmethod
-    def parse_common_billing_account_path(path: str) -> Dict[str,str]:
-        """Parse a billing_account path into its component segments."""
-        m = re.match(r"^billingAccounts/(?P<billing_account>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def common_folder_path(folder: str, ) -> str:
-        """Returns a fully-qualified folder string."""
-        return "folders/{folder}".format(folder=folder, )
-
-    @staticmethod
-    def parse_common_folder_path(path: str) -> Dict[str,str]:
-        """Parse a folder path into its component segments."""
-        m = re.match(r"^folders/(?P<folder>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def common_organization_path(organization: str, ) -> str:
-        """Returns a fully-qualified organization string."""
-        return "organizations/{organization}".format(organization=organization, )
-
-    @staticmethod
-    def parse_common_organization_path(path: str) -> Dict[str,str]:
-        """Parse a organization path into its component segments."""
-        m = re.match(r"^organizations/(?P<organization>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def common_project_path(project: str, ) -> str:
-        """Returns a fully-qualified project string."""
-        return "projects/{project}".format(project=project, )
-
-    @staticmethod
-    def parse_common_project_path(path: str) -> Dict[str,str]:
-        """Parse a project path into its component segments."""
-        m = re.match(r"^projects/(?P<project>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def common_location_path(project: str, location: str, ) -> str:
-        """Returns a fully-qualified location string."""
-        return "projects/{project}/locations/{location}".format(project=project, location=location, )
-
-    @staticmethod
-    def parse_common_location_path(path: str) -> Dict[str,str]:
-        """Parse a location path into its component segments."""
-        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @classmethod
-    def get_mtls_endpoint_and_cert_source(cls, client_options: Optional[client_options_lib.ClientOptions] = None):
-        """Deprecated. Return the API endpoint and client cert source for mutual TLS.
-
-        The client cert source is determined in the following order:
-        (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the
-        client cert source is None.
-        (2) if `client_options.client_cert_source` is provided, use the provided one; if the
-        default client cert source exists, use the default one; otherwise the client cert
-        source is None.
-
-        The API endpoint is determined in the following order:
-        (1) if `client_options.api_endpoint` if provided, use the provided one.
-        (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the
-        default mTLS endpoint; if the environment variable is "never", use the default API
-        endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise
-        use the default API endpoint.
-
-        More details can be found at https://google.aip.dev/auth/4114.
-
-        Args:
-            client_options (google.api_core.client_options.ClientOptions): Custom options for the
-                client. Only the `api_endpoint` and `client_cert_source` properties may be used
-                in this method.
-
-        Returns:
-            Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the
-                client cert source to use.
-
-        Raises:
-            google.auth.exceptions.MutualTLSChannelError: If any errors happen.
-        """
-
-        warnings.warn("get_mtls_endpoint_and_cert_source is deprecated. Use the api_endpoint property instead.",
-            DeprecationWarning)
-        if client_options is None:
-            client_options = client_options_lib.ClientOptions()
-        use_client_cert = os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false")
-        use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto")
-        if use_client_cert not in ("true", "false"):
-            raise ValueError("Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`")
-        if use_mtls_endpoint not in ("auto", "never", "always"):
-            raise MutualTLSChannelError("Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`")
-
-        # Figure out the client cert source to use.
-        client_cert_source = None
-        if use_client_cert == "true":
-            if client_options.client_cert_source:
-                client_cert_source = client_options.client_cert_source
-            elif mtls.has_default_client_cert_source():
-                client_cert_source = mtls.default_client_cert_source()
-
-        # Figure out which api endpoint to use.
-        if client_options.api_endpoint is not None:
-            api_endpoint = client_options.api_endpoint
-        elif use_mtls_endpoint == "always" or (use_mtls_endpoint == "auto" and client_cert_source):
-            api_endpoint = cls.DEFAULT_MTLS_ENDPOINT
-        else:
-            api_endpoint = cls.DEFAULT_ENDPOINT
-
-        return api_endpoint, client_cert_source
-
-    @staticmethod
-    def _read_environment_variables():
-        """Returns the environment variables used by the client.
-
-        Returns:
-            Tuple[bool, str, str]: returns the GOOGLE_API_USE_CLIENT_CERTIFICATE,
-            GOOGLE_API_USE_MTLS_ENDPOINT, and GOOGLE_CLOUD_UNIVERSE_DOMAIN environment variables.
-
-        Raises:
-            ValueError: If GOOGLE_API_USE_CLIENT_CERTIFICATE is not
-                any of ["true", "false"].
-            google.auth.exceptions.MutualTLSChannelError: If GOOGLE_API_USE_MTLS_ENDPOINT
-                is not any of ["auto", "never", "always"].
-        """
-        use_client_cert = os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false").lower()
-        use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto").lower()
-        universe_domain_env = os.getenv("GOOGLE_CLOUD_UNIVERSE_DOMAIN")
-        if use_client_cert not in ("true", "false"):
-            raise ValueError("Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`")
-        if use_mtls_endpoint not in ("auto", "never", "always"):
-            raise MutualTLSChannelError("Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`")
-        return use_client_cert == "true", use_mtls_endpoint, universe_domain_env
-
-    @staticmethod
-    def _get_client_cert_source(provided_cert_source, use_cert_flag):
-        """Return the client cert source to be used by the client.
-
-        Args:
-            provided_cert_source (bytes): The client certificate source provided.
-            use_cert_flag (bool): A flag indicating whether to use the client certificate.
-
-        Returns:
-            bytes or None: The client cert source to be used by the client.
-        """
-        client_cert_source = None
-        if use_cert_flag:
-            if provided_cert_source:
-                client_cert_source = provided_cert_source
-            elif mtls.has_default_client_cert_source():
-                client_cert_source = mtls.default_client_cert_source()
-        return client_cert_source
-
-    @staticmethod
-    def _get_api_endpoint(api_override, client_cert_source, universe_domain, use_mtls_endpoint):
-        """Return the API endpoint used by the client.
-
-        Args:
-            api_override (str): The API endpoint override. If specified, this is always
-                the return value of this function and the other arguments are not used.
-            client_cert_source (bytes): The client certificate source used by the client.
-            universe_domain (str): The universe domain used by the client.
-            use_mtls_endpoint (str): How to use the mTLS endpoint, which depends also on the other parameters.
-                Possible values are "always", "auto", or "never".
-
-        Returns:
-            str: The API endpoint to be used by the client.
-        """
-        if api_override is not None:
-            api_endpoint = api_override
-        elif use_mtls_endpoint == "always" or (use_mtls_endpoint == "auto" and client_cert_source):
-            _default_universe = DataTaxonomyServiceClient._DEFAULT_UNIVERSE
-            if universe_domain != _default_universe:
-                raise MutualTLSChannelError(f"mTLS is not supported in any universe other than {_default_universe}.")
-            api_endpoint = DataTaxonomyServiceClient.DEFAULT_MTLS_ENDPOINT
-        else:
-            api_endpoint = DataTaxonomyServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=universe_domain)
-        return api_endpoint
-
-    @staticmethod
-    def _get_universe_domain(client_universe_domain: Optional[str], universe_domain_env: Optional[str]) -> str:
-        """Return the universe domain used by the client.
-
-        Args:
-            client_universe_domain (Optional[str]): The universe domain configured via the client options.
-            universe_domain_env (Optional[str]): The universe domain configured via the "GOOGLE_CLOUD_UNIVERSE_DOMAIN" environment variable.
-
-        Returns:
-            str: The universe domain to be used by the client.
-
-        Raises:
-            ValueError: If the universe domain is an empty string.
-        """
-        universe_domain = DataTaxonomyServiceClient._DEFAULT_UNIVERSE
-        if client_universe_domain is not None:
-            universe_domain = client_universe_domain
-        elif universe_domain_env is not None:
-            universe_domain = universe_domain_env
-        if len(universe_domain.strip()) == 0:
-            raise ValueError("Universe Domain cannot be an empty string.")
-        return universe_domain
-
-    def _validate_universe_domain(self):
-        """Validates client's and credentials' universe domains are consistent.
-
-        Returns:
-            bool: True iff the configured universe domain is valid.
-
-        Raises:
-            ValueError: If the configured universe domain is not valid.
-        """
-
-        # NOTE (b/349488459): universe validation is disabled until further notice.
-        return True
-
-    @property
-    def api_endpoint(self):
-        """Return the API endpoint used by the client instance.
-
-        Returns:
-            str: The API endpoint used by the client instance.
-        """
-        return self._api_endpoint
-
-    @property
-    def universe_domain(self) -> str:
-        """Return the universe domain used by the client instance.
-
-        Returns:
-            str: The universe domain used by the client instance.
-        """
-        return self._universe_domain
-
-    def __init__(self, *,
-            credentials: Optional[ga_credentials.Credentials] = None,
-            transport: Optional[Union[str, DataTaxonomyServiceTransport, Callable[..., DataTaxonomyServiceTransport]]] = None,
-            client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None,
-            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-            ) -> None:
-        """Instantiates the data taxonomy service client.
-
-        Args:
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-            transport (Optional[Union[str,DataTaxonomyServiceTransport,Callable[..., DataTaxonomyServiceTransport]]]):
-                The transport to use, or a Callable that constructs and returns a new transport.
-                If a Callable is given, it will be called with the same set of initialization
-                arguments as used in the DataTaxonomyServiceTransport constructor.
-                If set to None, a transport is chosen automatically.
-            client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]):
-                Custom options for the client.
-
-                1. The ``api_endpoint`` property can be used to override the
-                default endpoint provided by the client when ``transport`` is
-                not explicitly provided. Only if this property is not set and
-                ``transport`` was not explicitly provided, the endpoint is
-                determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment
-                variable, which have one of the following values:
-                "always" (always use the default mTLS endpoint), "never" (always
-                use the default regular endpoint) and "auto" (auto-switch to the
-                default mTLS endpoint if client certificate is present; this is
-                the default value).
-
-                2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable
-                is "true", then the ``client_cert_source`` property can be used
-                to provide a client certificate for mTLS transport. If
-                not provided, the default SSL client certificate will be used if
-                present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not
-                set, no client certificate will be used.
-
-                3. The ``universe_domain`` property can be used to override the
-                default "googleapis.com" universe. Note that the ``api_endpoint``
-                property still takes precedence; and ``universe_domain`` is
-                currently not supported for mTLS.
-
-            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
-                The client info used to send a user-agent string along with
-                API requests. If ``None``, then default info will be used.
-                Generally, you only need to set this if you're developing
-                your own client library.
-
-        Raises:
-            google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport
-                creation failed for any reason.
-        """
-        self._client_options = client_options
-        if isinstance(self._client_options, dict):
-            self._client_options = client_options_lib.from_dict(self._client_options)
-        if self._client_options is None:
-            self._client_options = client_options_lib.ClientOptions()
-        self._client_options = cast(client_options_lib.ClientOptions, self._client_options)
-
-        universe_domain_opt = getattr(self._client_options, 'universe_domain', None)
-
-        self._use_client_cert, self._use_mtls_endpoint, self._universe_domain_env = DataTaxonomyServiceClient._read_environment_variables()
-        self._client_cert_source = DataTaxonomyServiceClient._get_client_cert_source(self._client_options.client_cert_source, self._use_client_cert)
-        self._universe_domain = DataTaxonomyServiceClient._get_universe_domain(universe_domain_opt, self._universe_domain_env)
-        self._api_endpoint = None # updated below, depending on `transport`
-
-        # Initialize the universe domain validation.
-        self._is_universe_domain_valid = False
-
-        api_key_value = getattr(self._client_options, "api_key", None)
-        if api_key_value and credentials:
-            raise ValueError("client_options.api_key and credentials are mutually exclusive")
-
-        # Save or instantiate the transport.
-        # Ordinarily, we provide the transport, but allowing a custom transport
-        # instance provides an extensibility point for unusual situations.
-        transport_provided = isinstance(transport, DataTaxonomyServiceTransport)
-        if transport_provided:
-            # transport is a DataTaxonomyServiceTransport instance.
-            if credentials or self._client_options.credentials_file or api_key_value:
-                raise ValueError("When providing a transport instance, "
-                                 "provide its credentials directly.")
-            if self._client_options.scopes:
-                raise ValueError(
-                    "When providing a transport instance, provide its scopes "
-                    "directly."
-                )
-            self._transport = cast(DataTaxonomyServiceTransport, transport)
-            self._api_endpoint = self._transport.host
-
-        self._api_endpoint = (self._api_endpoint or
-            DataTaxonomyServiceClient._get_api_endpoint(
-                self._client_options.api_endpoint,
-                self._client_cert_source,
-                self._universe_domain,
-                self._use_mtls_endpoint))
-
-        if not transport_provided:
-            import google.auth._default  # type: ignore
-
-            if api_key_value and hasattr(google.auth._default, "get_api_key_credentials"):
-                credentials = google.auth._default.get_api_key_credentials(api_key_value)
-
-            transport_init: Union[Type[DataTaxonomyServiceTransport], Callable[..., DataTaxonomyServiceTransport]] = (
-                DataTaxonomyServiceClient.get_transport_class(transport)
-                if isinstance(transport, str) or transport is None
-                else cast(Callable[..., DataTaxonomyServiceTransport], transport)
-            )
-            # initialize with the provided callable or the passed in class
-            self._transport = transport_init(
-                credentials=credentials,
-                credentials_file=self._client_options.credentials_file,
-                host=self._api_endpoint,
-                scopes=self._client_options.scopes,
-                client_cert_source_for_mtls=self._client_cert_source,
-                quota_project_id=self._client_options.quota_project_id,
-                client_info=client_info,
-                always_use_jwt_access=True,
-                api_audience=self._client_options.api_audience,
-            )
-
-    def create_data_taxonomy(self,
-            request: Optional[Union[gcd_data_taxonomy.CreateDataTaxonomyRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            data_taxonomy: Optional[gcd_data_taxonomy.DataTaxonomy] = None,
-            data_taxonomy_id: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation.Operation:
-        r"""Create a DataTaxonomy resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_create_data_taxonomy():
-                # Create a client
-                client = dataplex_v1.DataTaxonomyServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.CreateDataTaxonomyRequest(
-                    parent="parent_value",
-                    data_taxonomy_id="data_taxonomy_id_value",
-                )
-
-                # Make the request
-                operation = client.create_data_taxonomy(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = operation.result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.CreateDataTaxonomyRequest, dict]):
-                The request object. Create DataTaxonomy request.
-            parent (str):
-                Required. The resource name of the data taxonomy
-                location, of the form:
-                projects/{project_number}/locations/{location_id} where
-                ``location_id`` refers to a GCP region.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            data_taxonomy (google.cloud.dataplex_v1.types.DataTaxonomy):
-                Required. DataTaxonomy resource.
-                This corresponds to the ``data_taxonomy`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            data_taxonomy_id (str):
-                Required. DataTaxonomy identifier.
-
-                -  Must contain only lowercase letters, numbers and
-                   hyphens.
-                -  Must start with a letter.
-                -  Must be between 1-63 characters.
-                -  Must end with a number or a letter.
-                -  Must be unique within the Project.
-
-                This corresponds to the ``data_taxonomy_id`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation.Operation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.DataTaxonomy` DataTaxonomy represents a set of hierarchical DataAttributes resources,
-                   grouped with a common theme Eg:
-                   'SensitiveDataTaxonomy' can have attributes to manage
-                   PII data. It is defined at project level.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent, data_taxonomy, data_taxonomy_id])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, gcd_data_taxonomy.CreateDataTaxonomyRequest):
-            request = gcd_data_taxonomy.CreateDataTaxonomyRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if parent is not None:
-                request.parent = parent
-            if data_taxonomy is not None:
-                request.data_taxonomy = data_taxonomy
-            if data_taxonomy_id is not None:
-                request.data_taxonomy_id = data_taxonomy_id
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.create_data_taxonomy]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation.from_gapic(
-            response,
-            self._transport.operations_client,
-            gcd_data_taxonomy.DataTaxonomy,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def update_data_taxonomy(self,
-            request: Optional[Union[gcd_data_taxonomy.UpdateDataTaxonomyRequest, dict]] = None,
-            *,
-            data_taxonomy: Optional[gcd_data_taxonomy.DataTaxonomy] = None,
-            update_mask: Optional[field_mask_pb2.FieldMask] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation.Operation:
-        r"""Updates a DataTaxonomy resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_update_data_taxonomy():
-                # Create a client
-                client = dataplex_v1.DataTaxonomyServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.UpdateDataTaxonomyRequest(
-                )
-
-                # Make the request
-                operation = client.update_data_taxonomy(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = operation.result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.UpdateDataTaxonomyRequest, dict]):
-                The request object. Update DataTaxonomy request.
-            data_taxonomy (google.cloud.dataplex_v1.types.DataTaxonomy):
-                Required. Only fields specified in ``update_mask`` are
-                updated.
-
-                This corresponds to the ``data_taxonomy`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            update_mask (google.protobuf.field_mask_pb2.FieldMask):
-                Required. Mask of fields to update.
-                This corresponds to the ``update_mask`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation.Operation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.DataTaxonomy` DataTaxonomy represents a set of hierarchical DataAttributes resources,
-                   grouped with a common theme Eg:
-                   'SensitiveDataTaxonomy' can have attributes to manage
-                   PII data. It is defined at project level.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([data_taxonomy, update_mask])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, gcd_data_taxonomy.UpdateDataTaxonomyRequest):
-            request = gcd_data_taxonomy.UpdateDataTaxonomyRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if data_taxonomy is not None:
-                request.data_taxonomy = data_taxonomy
-            if update_mask is not None:
-                request.update_mask = update_mask
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.update_data_taxonomy]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("data_taxonomy.name", request.data_taxonomy.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation.from_gapic(
-            response,
-            self._transport.operations_client,
-            gcd_data_taxonomy.DataTaxonomy,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def delete_data_taxonomy(self,
-            request: Optional[Union[data_taxonomy.DeleteDataTaxonomyRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation.Operation:
-        r"""Deletes a DataTaxonomy resource. All attributes
-        within the DataTaxonomy must be deleted before the
-        DataTaxonomy can be deleted.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_delete_data_taxonomy():
-                # Create a client
-                client = dataplex_v1.DataTaxonomyServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.DeleteDataTaxonomyRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                operation = client.delete_data_taxonomy(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = operation.result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.DeleteDataTaxonomyRequest, dict]):
-                The request object. Delete DataTaxonomy request.
-            name (str):
-                Required. The resource name of the DataTaxonomy:
-                projects/{project_number}/locations/{location_id}/dataTaxonomies/{data_taxonomy_id}
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation.Operation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
-                   empty messages in your APIs. A typical example is to
-                   use it as the request or the response type of an API
-                   method. For instance:
-
-                      service Foo {
-                         rpc Bar(google.protobuf.Empty) returns
-                         (google.protobuf.Empty);
-
-                      }
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, data_taxonomy.DeleteDataTaxonomyRequest):
-            request = data_taxonomy.DeleteDataTaxonomyRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.delete_data_taxonomy]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation.from_gapic(
-            response,
-            self._transport.operations_client,
-            empty_pb2.Empty,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def list_data_taxonomies(self,
-            request: Optional[Union[data_taxonomy.ListDataTaxonomiesRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> pagers.ListDataTaxonomiesPager:
-        r"""Lists DataTaxonomy resources in a project and
-        location.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_list_data_taxonomies():
-                # Create a client
-                client = dataplex_v1.DataTaxonomyServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.ListDataTaxonomiesRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_data_taxonomies(request=request)
-
-                # Handle the response
-                for response in page_result:
-                    print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.ListDataTaxonomiesRequest, dict]):
-                The request object. List DataTaxonomies request.
-            parent (str):
-                Required. The resource name of the DataTaxonomy
-                location, of the form:
-                projects/{project_number}/locations/{location_id} where
-                ``location_id`` refers to a GCP region.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.services.data_taxonomy_service.pagers.ListDataTaxonomiesPager:
-                List DataTaxonomies response.
-
-                Iterating over this object will yield
-                results and resolve additional pages
-                automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, data_taxonomy.ListDataTaxonomiesRequest):
-            request = data_taxonomy.ListDataTaxonomiesRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if parent is not None:
-                request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.list_data_taxonomies]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__iter__` convenience method.
-        response = pagers.ListDataTaxonomiesPager(
-            method=rpc,
-            request=request,
-            response=response,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def get_data_taxonomy(self,
-            request: Optional[Union[data_taxonomy.GetDataTaxonomyRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> data_taxonomy.DataTaxonomy:
-        r"""Retrieves a DataTaxonomy resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_get_data_taxonomy():
-                # Create a client
-                client = dataplex_v1.DataTaxonomyServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.GetDataTaxonomyRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = client.get_data_taxonomy(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.GetDataTaxonomyRequest, dict]):
-                The request object. Get DataTaxonomy request.
-            name (str):
-                Required. The resource name of the DataTaxonomy:
-                projects/{project_number}/locations/{location_id}/dataTaxonomies/{data_taxonomy_id}
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.DataTaxonomy:
-                DataTaxonomy represents a set of
-                hierarchical DataAttributes resources,
-                grouped with a common theme Eg:
-                'SensitiveDataTaxonomy' can have
-                attributes to manage PII data. It is
-                defined at project level.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, data_taxonomy.GetDataTaxonomyRequest):
-            request = data_taxonomy.GetDataTaxonomyRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.get_data_taxonomy]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def create_data_attribute_binding(self,
-            request: Optional[Union[data_taxonomy.CreateDataAttributeBindingRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            data_attribute_binding: Optional[data_taxonomy.DataAttributeBinding] = None,
-            data_attribute_binding_id: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation.Operation:
-        r"""Create a DataAttributeBinding resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_create_data_attribute_binding():
-                # Create a client
-                client = dataplex_v1.DataTaxonomyServiceClient()
-
-                # Initialize request argument(s)
-                data_attribute_binding = dataplex_v1.DataAttributeBinding()
-                data_attribute_binding.resource = "resource_value"
-
-                request = dataplex_v1.CreateDataAttributeBindingRequest(
-                    parent="parent_value",
-                    data_attribute_binding_id="data_attribute_binding_id_value",
-                    data_attribute_binding=data_attribute_binding,
-                )
-
-                # Make the request
-                operation = client.create_data_attribute_binding(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = operation.result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.CreateDataAttributeBindingRequest, dict]):
-                The request object. Create DataAttributeBinding request.
-            parent (str):
-                Required. The resource name of the parent data taxonomy
-                projects/{project_number}/locations/{location_id}
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            data_attribute_binding (google.cloud.dataplex_v1.types.DataAttributeBinding):
-                Required. DataAttributeBinding
-                resource.
-
-                This corresponds to the ``data_attribute_binding`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            data_attribute_binding_id (str):
-                Required. DataAttributeBinding identifier.
-
-                -  Must contain only lowercase letters, numbers and
-                   hyphens.
-                -  Must start with a letter.
-                -  Must be between 1-63 characters.
-                -  Must end with a number or a letter.
-                -  Must be unique within the Location.
-
-                This corresponds to the ``data_attribute_binding_id`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation.Operation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.DataAttributeBinding` DataAttributeBinding represents binding of attributes to resources. Eg: Bind
-                   'CustomerInfo' entity with 'PII' attribute.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent, data_attribute_binding, data_attribute_binding_id])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, data_taxonomy.CreateDataAttributeBindingRequest):
-            request = data_taxonomy.CreateDataAttributeBindingRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if parent is not None:
-                request.parent = parent
-            if data_attribute_binding is not None:
-                request.data_attribute_binding = data_attribute_binding
-            if data_attribute_binding_id is not None:
-                request.data_attribute_binding_id = data_attribute_binding_id
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.create_data_attribute_binding]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation.from_gapic(
-            response,
-            self._transport.operations_client,
-            data_taxonomy.DataAttributeBinding,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def update_data_attribute_binding(self,
-            request: Optional[Union[data_taxonomy.UpdateDataAttributeBindingRequest, dict]] = None,
-            *,
-            data_attribute_binding: Optional[data_taxonomy.DataAttributeBinding] = None,
-            update_mask: Optional[field_mask_pb2.FieldMask] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation.Operation:
-        r"""Updates a DataAttributeBinding resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_update_data_attribute_binding():
-                # Create a client
-                client = dataplex_v1.DataTaxonomyServiceClient()
-
-                # Initialize request argument(s)
-                data_attribute_binding = dataplex_v1.DataAttributeBinding()
-                data_attribute_binding.resource = "resource_value"
-
-                request = dataplex_v1.UpdateDataAttributeBindingRequest(
-                    data_attribute_binding=data_attribute_binding,
-                )
-
-                # Make the request
-                operation = client.update_data_attribute_binding(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = operation.result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.UpdateDataAttributeBindingRequest, dict]):
-                The request object. Update DataAttributeBinding request.
-            data_attribute_binding (google.cloud.dataplex_v1.types.DataAttributeBinding):
-                Required. Only fields specified in ``update_mask`` are
-                updated.
-
-                This corresponds to the ``data_attribute_binding`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            update_mask (google.protobuf.field_mask_pb2.FieldMask):
-                Required. Mask of fields to update.
-                This corresponds to the ``update_mask`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation.Operation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.DataAttributeBinding` DataAttributeBinding represents binding of attributes to resources. Eg: Bind
-                   'CustomerInfo' entity with 'PII' attribute.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([data_attribute_binding, update_mask])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, data_taxonomy.UpdateDataAttributeBindingRequest):
-            request = data_taxonomy.UpdateDataAttributeBindingRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if data_attribute_binding is not None:
-                request.data_attribute_binding = data_attribute_binding
-            if update_mask is not None:
-                request.update_mask = update_mask
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.update_data_attribute_binding]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("data_attribute_binding.name", request.data_attribute_binding.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation.from_gapic(
-            response,
-            self._transport.operations_client,
-            data_taxonomy.DataAttributeBinding,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def delete_data_attribute_binding(self,
-            request: Optional[Union[data_taxonomy.DeleteDataAttributeBindingRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation.Operation:
-        r"""Deletes a DataAttributeBinding resource. All
-        attributes within the DataAttributeBinding must be
-        deleted before the DataAttributeBinding can be deleted.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_delete_data_attribute_binding():
-                # Create a client
-                client = dataplex_v1.DataTaxonomyServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.DeleteDataAttributeBindingRequest(
-                    name="name_value",
-                    etag="etag_value",
-                )
-
-                # Make the request
-                operation = client.delete_data_attribute_binding(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = operation.result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.DeleteDataAttributeBindingRequest, dict]):
-                The request object. Delete DataAttributeBinding request.
-            name (str):
-                Required. The resource name of the DataAttributeBinding:
-                projects/{project_number}/locations/{location_id}/dataAttributeBindings/{data_attribute_binding_id}
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation.Operation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
-                   empty messages in your APIs. A typical example is to
-                   use it as the request or the response type of an API
-                   method. For instance:
-
-                      service Foo {
-                         rpc Bar(google.protobuf.Empty) returns
-                         (google.protobuf.Empty);
-
-                      }
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, data_taxonomy.DeleteDataAttributeBindingRequest):
-            request = data_taxonomy.DeleteDataAttributeBindingRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.delete_data_attribute_binding]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation.from_gapic(
-            response,
-            self._transport.operations_client,
-            empty_pb2.Empty,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def list_data_attribute_bindings(self,
-            request: Optional[Union[data_taxonomy.ListDataAttributeBindingsRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> pagers.ListDataAttributeBindingsPager:
-        r"""Lists DataAttributeBinding resources in a project and
-        location.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_list_data_attribute_bindings():
-                # Create a client
-                client = dataplex_v1.DataTaxonomyServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.ListDataAttributeBindingsRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_data_attribute_bindings(request=request)
-
-                # Handle the response
-                for response in page_result:
-                    print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.ListDataAttributeBindingsRequest, dict]):
-                The request object. List DataAttributeBindings request.
-            parent (str):
-                Required. The resource name of the Location:
-                projects/{project_number}/locations/{location_id}
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.services.data_taxonomy_service.pagers.ListDataAttributeBindingsPager:
-                List DataAttributeBindings response.
-
-                Iterating over this object will yield
-                results and resolve additional pages
-                automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, data_taxonomy.ListDataAttributeBindingsRequest):
-            request = data_taxonomy.ListDataAttributeBindingsRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if parent is not None:
-                request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.list_data_attribute_bindings]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__iter__` convenience method.
-        response = pagers.ListDataAttributeBindingsPager(
-            method=rpc,
-            request=request,
-            response=response,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def get_data_attribute_binding(self,
-            request: Optional[Union[data_taxonomy.GetDataAttributeBindingRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> data_taxonomy.DataAttributeBinding:
-        r"""Retrieves a DataAttributeBinding resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_get_data_attribute_binding():
-                # Create a client
-                client = dataplex_v1.DataTaxonomyServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.GetDataAttributeBindingRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = client.get_data_attribute_binding(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.GetDataAttributeBindingRequest, dict]):
-                The request object. Get DataAttributeBinding request.
-            name (str):
-                Required. The resource name of the DataAttributeBinding:
-                projects/{project_number}/locations/{location_id}/dataAttributeBindings/{data_attribute_binding_id}
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.DataAttributeBinding:
-                DataAttributeBinding represents
-                binding of attributes to resources. Eg:
-                Bind 'CustomerInfo' entity with 'PII'
-                attribute.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, data_taxonomy.GetDataAttributeBindingRequest):
-            request = data_taxonomy.GetDataAttributeBindingRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.get_data_attribute_binding]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def create_data_attribute(self,
-            request: Optional[Union[data_taxonomy.CreateDataAttributeRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            data_attribute: Optional[data_taxonomy.DataAttribute] = None,
-            data_attribute_id: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation.Operation:
-        r"""Create a DataAttribute resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_create_data_attribute():
-                # Create a client
-                client = dataplex_v1.DataTaxonomyServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.CreateDataAttributeRequest(
-                    parent="parent_value",
-                    data_attribute_id="data_attribute_id_value",
-                )
-
-                # Make the request
-                operation = client.create_data_attribute(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = operation.result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.CreateDataAttributeRequest, dict]):
-                The request object. Create DataAttribute request.
-            parent (str):
-                Required. The resource name of the parent data taxonomy
-                projects/{project_number}/locations/{location_id}/dataTaxonomies/{data_taxonomy_id}
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            data_attribute (google.cloud.dataplex_v1.types.DataAttribute):
-                Required. DataAttribute resource.
-                This corresponds to the ``data_attribute`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            data_attribute_id (str):
-                Required. DataAttribute identifier.
-
-                -  Must contain only lowercase letters, numbers and
-                   hyphens.
-                -  Must start with a letter.
-                -  Must be between 1-63 characters.
-                -  Must end with a number or a letter.
-                -  Must be unique within the DataTaxonomy.
-
-                This corresponds to the ``data_attribute_id`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation.Operation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.DataAttribute` Denotes one dataAttribute in a dataTaxonomy, for example, PII.
-                   DataAttribute resources can be defined in a
-                   hierarchy. A single dataAttribute resource can
-                   contain specs of multiple types
-
-                   :literal:`\` PII   - ResourceAccessSpec :                 - readers :foo@bar.com   - DataAccessSpec :                 - readers :bar@foo.com`\ \`
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent, data_attribute, data_attribute_id])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, data_taxonomy.CreateDataAttributeRequest):
-            request = data_taxonomy.CreateDataAttributeRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if parent is not None:
-                request.parent = parent
-            if data_attribute is not None:
-                request.data_attribute = data_attribute
-            if data_attribute_id is not None:
-                request.data_attribute_id = data_attribute_id
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.create_data_attribute]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation.from_gapic(
-            response,
-            self._transport.operations_client,
-            data_taxonomy.DataAttribute,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def update_data_attribute(self,
-            request: Optional[Union[data_taxonomy.UpdateDataAttributeRequest, dict]] = None,
-            *,
-            data_attribute: Optional[data_taxonomy.DataAttribute] = None,
-            update_mask: Optional[field_mask_pb2.FieldMask] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation.Operation:
-        r"""Updates a DataAttribute resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_update_data_attribute():
-                # Create a client
-                client = dataplex_v1.DataTaxonomyServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.UpdateDataAttributeRequest(
-                )
-
-                # Make the request
-                operation = client.update_data_attribute(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = operation.result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.UpdateDataAttributeRequest, dict]):
-                The request object. Update DataAttribute request.
-            data_attribute (google.cloud.dataplex_v1.types.DataAttribute):
-                Required. Only fields specified in ``update_mask`` are
-                updated.
-
-                This corresponds to the ``data_attribute`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            update_mask (google.protobuf.field_mask_pb2.FieldMask):
-                Required. Mask of fields to update.
-                This corresponds to the ``update_mask`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation.Operation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.DataAttribute` Denotes one dataAttribute in a dataTaxonomy, for example, PII.
-                   DataAttribute resources can be defined in a
-                   hierarchy. A single dataAttribute resource can
-                   contain specs of multiple types
-
-                   :literal:`\` PII   - ResourceAccessSpec :                 - readers :foo@bar.com   - DataAccessSpec :                 - readers :bar@foo.com`\ \`
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([data_attribute, update_mask])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, data_taxonomy.UpdateDataAttributeRequest):
-            request = data_taxonomy.UpdateDataAttributeRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if data_attribute is not None:
-                request.data_attribute = data_attribute
-            if update_mask is not None:
-                request.update_mask = update_mask
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.update_data_attribute]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("data_attribute.name", request.data_attribute.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation.from_gapic(
-            response,
-            self._transport.operations_client,
-            data_taxonomy.DataAttribute,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def delete_data_attribute(self,
-            request: Optional[Union[data_taxonomy.DeleteDataAttributeRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation.Operation:
-        r"""Deletes a Data Attribute resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_delete_data_attribute():
-                # Create a client
-                client = dataplex_v1.DataTaxonomyServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.DeleteDataAttributeRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                operation = client.delete_data_attribute(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = operation.result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.DeleteDataAttributeRequest, dict]):
-                The request object. Delete DataAttribute request.
-            name (str):
-                Required. The resource name of the DataAttribute:
-                projects/{project_number}/locations/{location_id}/dataTaxonomies/{dataTaxonomy}/attributes/{data_attribute_id}
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation.Operation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
-                   empty messages in your APIs. A typical example is to
-                   use it as the request or the response type of an API
-                   method. For instance:
-
-                      service Foo {
-                         rpc Bar(google.protobuf.Empty) returns
-                         (google.protobuf.Empty);
-
-                      }
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, data_taxonomy.DeleteDataAttributeRequest):
-            request = data_taxonomy.DeleteDataAttributeRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.delete_data_attribute]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation.from_gapic(
-            response,
-            self._transport.operations_client,
-            empty_pb2.Empty,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def list_data_attributes(self,
-            request: Optional[Union[data_taxonomy.ListDataAttributesRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> pagers.ListDataAttributesPager:
-        r"""Lists Data Attribute resources in a DataTaxonomy.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_list_data_attributes():
-                # Create a client
-                client = dataplex_v1.DataTaxonomyServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.ListDataAttributesRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_data_attributes(request=request)
-
-                # Handle the response
-                for response in page_result:
-                    print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.ListDataAttributesRequest, dict]):
-                The request object. List DataAttributes request.
-            parent (str):
-                Required. The resource name of the DataTaxonomy:
-                projects/{project_number}/locations/{location_id}/dataTaxonomies/{data_taxonomy_id}
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.services.data_taxonomy_service.pagers.ListDataAttributesPager:
-                List DataAttributes response.
-
-                Iterating over this object will yield
-                results and resolve additional pages
-                automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, data_taxonomy.ListDataAttributesRequest):
-            request = data_taxonomy.ListDataAttributesRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if parent is not None:
-                request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.list_data_attributes]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__iter__` convenience method.
-        response = pagers.ListDataAttributesPager(
-            method=rpc,
-            request=request,
-            response=response,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def get_data_attribute(self,
-            request: Optional[Union[data_taxonomy.GetDataAttributeRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> data_taxonomy.DataAttribute:
-        r"""Retrieves a Data Attribute resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_get_data_attribute():
-                # Create a client
-                client = dataplex_v1.DataTaxonomyServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.GetDataAttributeRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = client.get_data_attribute(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.GetDataAttributeRequest, dict]):
-                The request object. Get DataAttribute request.
-            name (str):
-                Required. The resource name of the dataAttribute:
-                projects/{project_number}/locations/{location_id}/dataTaxonomies/{dataTaxonomy}/attributes/{data_attribute_id}
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.DataAttribute:
-                Denotes one dataAttribute in a dataTaxonomy, for example, PII.
-                   DataAttribute resources can be defined in a
-                   hierarchy. A single dataAttribute resource can
-                   contain specs of multiple types
-
-                   :literal:`\` PII   - ResourceAccessSpec :                 - readers :foo@bar.com   - DataAccessSpec :                 - readers :bar@foo.com`\ \`
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, data_taxonomy.GetDataAttributeRequest):
-            request = data_taxonomy.GetDataAttributeRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.get_data_attribute]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def __enter__(self) -> "DataTaxonomyServiceClient":
-        return self
-
-    def __exit__(self, type, value, traceback):
-        """Releases underlying transport's resources.
-
-        .. warning::
-            ONLY use as a context manager if the transport is NOT shared
-            with other clients! Exiting the with block will CLOSE the transport
-            and may cause errors in other clients!
-        """
-        self.transport.close()
-
-    def list_operations(
-        self,
-        request: Optional[operations_pb2.ListOperationsRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operations_pb2.ListOperationsResponse:
-        r"""Lists operations that match the specified filter in the request.
-
-        Args:
-            request (:class:`~.operations_pb2.ListOperationsRequest`):
-                The request object. Request message for
-                `ListOperations` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.operations_pb2.ListOperationsResponse:
-                Response message for ``ListOperations`` method.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.ListOperationsRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.list_operations]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request, retry=retry, timeout=timeout, metadata=metadata,)
-
-        # Done; return the response.
-        return response
-
-    def get_operation(
-        self,
-        request: Optional[operations_pb2.GetOperationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operations_pb2.Operation:
-        r"""Gets the latest state of a long-running operation.
-
-        Args:
-            request (:class:`~.operations_pb2.GetOperationRequest`):
-                The request object. Request message for
-                `GetOperation` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.operations_pb2.Operation:
-                An ``Operation`` object.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.GetOperationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.get_operation]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request, retry=retry, timeout=timeout, metadata=metadata,)
-
-        # Done; return the response.
-        return response
-
-    def delete_operation(
-        self,
-        request: Optional[operations_pb2.DeleteOperationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> None:
-        r"""Deletes a long-running operation.
-
-        This method indicates that the client is no longer interested
-        in the operation result. It does not cancel the operation.
-        If the server doesn't support this method, it returns
-        `google.rpc.Code.UNIMPLEMENTED`.
-
-        Args:
-            request (:class:`~.operations_pb2.DeleteOperationRequest`):
-                The request object. Request message for
-                `DeleteOperation` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            None
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.DeleteOperationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.delete_operation]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
-
-    def cancel_operation(
-        self,
-        request: Optional[operations_pb2.CancelOperationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> None:
-        r"""Starts asynchronous cancellation on a long-running operation.
-
-        The server makes a best effort to cancel the operation, but success
-        is not guaranteed.  If the server doesn't support this method, it returns
-        `google.rpc.Code.UNIMPLEMENTED`.
-
-        Args:
-            request (:class:`~.operations_pb2.CancelOperationRequest`):
-                The request object. Request message for
-                `CancelOperation` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            None
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.CancelOperationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.cancel_operation]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
-
-    def get_location(
-        self,
-        request: Optional[locations_pb2.GetLocationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> locations_pb2.Location:
-        r"""Gets information about a location.
-
-        Args:
-            request (:class:`~.location_pb2.GetLocationRequest`):
-                The request object. Request message for
-                `GetLocation` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                 if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.location_pb2.Location:
-                Location object.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = locations_pb2.GetLocationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.get_location]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request, retry=retry, timeout=timeout, metadata=metadata,)
-
-        # Done; return the response.
-        return response
-
-    def list_locations(
-        self,
-        request: Optional[locations_pb2.ListLocationsRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> locations_pb2.ListLocationsResponse:
-        r"""Lists information about the supported locations for this service.
-
-        Args:
-            request (:class:`~.location_pb2.ListLocationsRequest`):
-                The request object. Request message for
-                `ListLocations` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                 if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.location_pb2.ListLocationsResponse:
-                Response message for ``ListLocations`` method.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = locations_pb2.ListLocationsRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.list_locations]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request, retry=retry, timeout=timeout, metadata=metadata,)
-
-        # Done; return the response.
-        return response
-
-
-DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(gapic_version=package_version.__version__)
-
-
-__all__ = (
-    "DataTaxonomyServiceClient",
-)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_taxonomy_service/pagers.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_taxonomy_service/pagers.py
deleted file mode 100644
index 787b71f82ce8..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_taxonomy_service/pagers.py
+++ /dev/null
@@ -1,432 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from google.api_core import gapic_v1
-from google.api_core import retry as retries
-from google.api_core import retry_async as retries_async
-from typing import Any, AsyncIterator, Awaitable, Callable, Sequence, Tuple, Optional, Iterator, Union
-try:
-    OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None]
-    OptionalAsyncRetry = Union[retries_async.AsyncRetry, gapic_v1.method._MethodDefault, None]
-except AttributeError:  # pragma: NO COVER
-    OptionalRetry = Union[retries.Retry, object, None]  # type: ignore
-    OptionalAsyncRetry = Union[retries_async.AsyncRetry, object, None]  # type: ignore
-
-from google.cloud.dataplex_v1.types import data_taxonomy
-
-
-class ListDataTaxonomiesPager:
-    """A pager for iterating through ``list_data_taxonomies`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.dataplex_v1.types.ListDataTaxonomiesResponse` object, and
-    provides an ``__iter__`` method to iterate through its
-    ``data_taxonomies`` field.
-
-    If there are more pages, the ``__iter__`` method will make additional
-    ``ListDataTaxonomies`` requests and continue to iterate
-    through the ``data_taxonomies`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.dataplex_v1.types.ListDataTaxonomiesResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-    def __init__(self,
-            method: Callable[..., data_taxonomy.ListDataTaxonomiesResponse],
-            request: data_taxonomy.ListDataTaxonomiesRequest,
-            response: data_taxonomy.ListDataTaxonomiesResponse,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = ()):
-        """Instantiate the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.dataplex_v1.types.ListDataTaxonomiesRequest):
-                The initial request object.
-            response (google.cloud.dataplex_v1.types.ListDataTaxonomiesResponse):
-                The initial response object.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = data_taxonomy.ListDataTaxonomiesRequest(request)
-        self._response = response
-        self._retry = retry
-        self._timeout = timeout
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    def pages(self) -> Iterator[data_taxonomy.ListDataTaxonomiesResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
-            yield self._response
-
-    def __iter__(self) -> Iterator[data_taxonomy.DataTaxonomy]:
-        for page in self.pages:
-            yield from page.data_taxonomies
-
-    def __repr__(self) -> str:
-        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
-
-
-class ListDataTaxonomiesAsyncPager:
-    """A pager for iterating through ``list_data_taxonomies`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.dataplex_v1.types.ListDataTaxonomiesResponse` object, and
-    provides an ``__aiter__`` method to iterate through its
-    ``data_taxonomies`` field.
-
-    If there are more pages, the ``__aiter__`` method will make additional
-    ``ListDataTaxonomies`` requests and continue to iterate
-    through the ``data_taxonomies`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.dataplex_v1.types.ListDataTaxonomiesResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-    def __init__(self,
-            method: Callable[..., Awaitable[data_taxonomy.ListDataTaxonomiesResponse]],
-            request: data_taxonomy.ListDataTaxonomiesRequest,
-            response: data_taxonomy.ListDataTaxonomiesResponse,
-            *,
-            retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = ()):
-        """Instantiates the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.dataplex_v1.types.ListDataTaxonomiesRequest):
-                The initial request object.
-            response (google.cloud.dataplex_v1.types.ListDataTaxonomiesResponse):
-                The initial response object.
-            retry (google.api_core.retry.AsyncRetry): Designation of what errors,
-                if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = data_taxonomy.ListDataTaxonomiesRequest(request)
-        self._response = response
-        self._retry = retry
-        self._timeout = timeout
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    async def pages(self) -> AsyncIterator[data_taxonomy.ListDataTaxonomiesResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = await self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
-            yield self._response
-    def __aiter__(self) -> AsyncIterator[data_taxonomy.DataTaxonomy]:
-        async def async_generator():
-            async for page in self.pages:
-                for response in page.data_taxonomies:
-                    yield response
-
-        return async_generator()
-
-    def __repr__(self) -> str:
-        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
-
-
-class ListDataAttributeBindingsPager:
-    """A pager for iterating through ``list_data_attribute_bindings`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.dataplex_v1.types.ListDataAttributeBindingsResponse` object, and
-    provides an ``__iter__`` method to iterate through its
-    ``data_attribute_bindings`` field.
-
-    If there are more pages, the ``__iter__`` method will make additional
-    ``ListDataAttributeBindings`` requests and continue to iterate
-    through the ``data_attribute_bindings`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.dataplex_v1.types.ListDataAttributeBindingsResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-    def __init__(self,
-            method: Callable[..., data_taxonomy.ListDataAttributeBindingsResponse],
-            request: data_taxonomy.ListDataAttributeBindingsRequest,
-            response: data_taxonomy.ListDataAttributeBindingsResponse,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = ()):
-        """Instantiate the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.dataplex_v1.types.ListDataAttributeBindingsRequest):
-                The initial request object.
-            response (google.cloud.dataplex_v1.types.ListDataAttributeBindingsResponse):
-                The initial response object.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = data_taxonomy.ListDataAttributeBindingsRequest(request)
-        self._response = response
-        self._retry = retry
-        self._timeout = timeout
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    def pages(self) -> Iterator[data_taxonomy.ListDataAttributeBindingsResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
-            yield self._response
-
-    def __iter__(self) -> Iterator[data_taxonomy.DataAttributeBinding]:
-        for page in self.pages:
-            yield from page.data_attribute_bindings
-
-    def __repr__(self) -> str:
-        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
-
-
-class ListDataAttributeBindingsAsyncPager:
-    """A pager for iterating through ``list_data_attribute_bindings`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.dataplex_v1.types.ListDataAttributeBindingsResponse` object, and
-    provides an ``__aiter__`` method to iterate through its
-    ``data_attribute_bindings`` field.
-
-    If there are more pages, the ``__aiter__`` method will make additional
-    ``ListDataAttributeBindings`` requests and continue to iterate
-    through the ``data_attribute_bindings`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.dataplex_v1.types.ListDataAttributeBindingsResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-    def __init__(self,
-            method: Callable[..., Awaitable[data_taxonomy.ListDataAttributeBindingsResponse]],
-            request: data_taxonomy.ListDataAttributeBindingsRequest,
-            response: data_taxonomy.ListDataAttributeBindingsResponse,
-            *,
-            retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = ()):
-        """Instantiates the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.dataplex_v1.types.ListDataAttributeBindingsRequest):
-                The initial request object.
-            response (google.cloud.dataplex_v1.types.ListDataAttributeBindingsResponse):
-                The initial response object.
-            retry (google.api_core.retry.AsyncRetry): Designation of what errors,
-                if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = data_taxonomy.ListDataAttributeBindingsRequest(request)
-        self._response = response
-        self._retry = retry
-        self._timeout = timeout
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    async def pages(self) -> AsyncIterator[data_taxonomy.ListDataAttributeBindingsResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = await self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
-            yield self._response
-    def __aiter__(self) -> AsyncIterator[data_taxonomy.DataAttributeBinding]:
-        async def async_generator():
-            async for page in self.pages:
-                for response in page.data_attribute_bindings:
-                    yield response
-
-        return async_generator()
-
-    def __repr__(self) -> str:
-        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
-
-
-class ListDataAttributesPager:
-    """A pager for iterating through ``list_data_attributes`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.dataplex_v1.types.ListDataAttributesResponse` object, and
-    provides an ``__iter__`` method to iterate through its
-    ``data_attributes`` field.
-
-    If there are more pages, the ``__iter__`` method will make additional
-    ``ListDataAttributes`` requests and continue to iterate
-    through the ``data_attributes`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.dataplex_v1.types.ListDataAttributesResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-    def __init__(self,
-            method: Callable[..., data_taxonomy.ListDataAttributesResponse],
-            request: data_taxonomy.ListDataAttributesRequest,
-            response: data_taxonomy.ListDataAttributesResponse,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = ()):
-        """Instantiate the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.dataplex_v1.types.ListDataAttributesRequest):
-                The initial request object.
-            response (google.cloud.dataplex_v1.types.ListDataAttributesResponse):
-                The initial response object.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = data_taxonomy.ListDataAttributesRequest(request)
-        self._response = response
-        self._retry = retry
-        self._timeout = timeout
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    def pages(self) -> Iterator[data_taxonomy.ListDataAttributesResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
-            yield self._response
-
-    def __iter__(self) -> Iterator[data_taxonomy.DataAttribute]:
-        for page in self.pages:
-            yield from page.data_attributes
-
-    def __repr__(self) -> str:
-        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
-
-
-class ListDataAttributesAsyncPager:
-    """A pager for iterating through ``list_data_attributes`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.dataplex_v1.types.ListDataAttributesResponse` object, and
-    provides an ``__aiter__`` method to iterate through its
-    ``data_attributes`` field.
-
-    If there are more pages, the ``__aiter__`` method will make additional
-    ``ListDataAttributes`` requests and continue to iterate
-    through the ``data_attributes`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.dataplex_v1.types.ListDataAttributesResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-    def __init__(self,
-            method: Callable[..., Awaitable[data_taxonomy.ListDataAttributesResponse]],
-            request: data_taxonomy.ListDataAttributesRequest,
-            response: data_taxonomy.ListDataAttributesResponse,
-            *,
-            retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = ()):
-        """Instantiates the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.dataplex_v1.types.ListDataAttributesRequest):
-                The initial request object.
-            response (google.cloud.dataplex_v1.types.ListDataAttributesResponse):
-                The initial response object.
-            retry (google.api_core.retry.AsyncRetry): Designation of what errors,
-                if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = data_taxonomy.ListDataAttributesRequest(request)
-        self._response = response
-        self._retry = retry
-        self._timeout = timeout
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    async def pages(self) -> AsyncIterator[data_taxonomy.ListDataAttributesResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = await self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
-            yield self._response
-    def __aiter__(self) -> AsyncIterator[data_taxonomy.DataAttribute]:
-        async def async_generator():
-            async for page in self.pages:
-                for response in page.data_attributes:
-                    yield response
-
-        return async_generator()
-
-    def __repr__(self) -> str:
-        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_taxonomy_service/transports/README.rst b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_taxonomy_service/transports/README.rst
deleted file mode 100644
index 5c194fc01362..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_taxonomy_service/transports/README.rst
+++ /dev/null
@@ -1,9 +0,0 @@
-
-transport inheritance structure
-_______________________________
-
-`DataTaxonomyServiceTransport` is the ABC for all transports.
-- public child `DataTaxonomyServiceGrpcTransport` for sync gRPC transport (defined in `grpc.py`).
-- public child `DataTaxonomyServiceGrpcAsyncIOTransport` for async gRPC transport (defined in `grpc_asyncio.py`).
-- private child `_BaseDataTaxonomyServiceRestTransport` for base REST transport with inner classes `_BaseMETHOD` (defined in `rest_base.py`).
-- public child `DataTaxonomyServiceRestTransport` for sync REST transport with inner classes `METHOD` derived from the parent's corresponding `_BaseMETHOD` classes (defined in `rest.py`).
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_taxonomy_service/transports/__init__.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_taxonomy_service/transports/__init__.py
deleted file mode 100644
index aeab503c70d4..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_taxonomy_service/transports/__init__.py
+++ /dev/null
@@ -1,33 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from collections import OrderedDict
-from typing import Dict, Type
-
-from .base import DataTaxonomyServiceTransport
-from .grpc import DataTaxonomyServiceGrpcTransport
-from .grpc_asyncio import DataTaxonomyServiceGrpcAsyncIOTransport
-
-
-# Compile a registry of transports.
-_transport_registry = OrderedDict()  # type: Dict[str, Type[DataTaxonomyServiceTransport]]
-_transport_registry['grpc'] = DataTaxonomyServiceGrpcTransport
-_transport_registry['grpc_asyncio'] = DataTaxonomyServiceGrpcAsyncIOTransport
-
-__all__ = (
-    'DataTaxonomyServiceTransport',
-    'DataTaxonomyServiceGrpcTransport',
-    'DataTaxonomyServiceGrpcAsyncIOTransport',
-)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_taxonomy_service/transports/base.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_taxonomy_service/transports/base.py
deleted file mode 100644
index 526e35b387b1..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_taxonomy_service/transports/base.py
+++ /dev/null
@@ -1,443 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-import abc
-from typing import Awaitable, Callable, Dict, Optional, Sequence, Union
-
-from google.cloud.dataplex_v1 import gapic_version as package_version
-
-import google.auth  # type: ignore
-import google.api_core
-from google.api_core import exceptions as core_exceptions
-from google.api_core import gapic_v1
-from google.api_core import retry as retries
-from google.api_core import operations_v1
-from google.auth import credentials as ga_credentials  # type: ignore
-from google.oauth2 import service_account # type: ignore
-
-from google.cloud.dataplex_v1.types import data_taxonomy
-from google.cloud.dataplex_v1.types import data_taxonomy as gcd_data_taxonomy
-from google.cloud.location import locations_pb2 # type: ignore
-from google.iam.v1 import iam_policy_pb2  # type: ignore
-from google.iam.v1 import policy_pb2  # type: ignore
-from google.longrunning import operations_pb2 # type: ignore
-
-DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(gapic_version=package_version.__version__)
-
-
-class DataTaxonomyServiceTransport(abc.ABC):
-    """Abstract transport class for DataTaxonomyService."""
-
-    AUTH_SCOPES = (
-        'https://www.googleapis.com/auth/cloud-platform',
-    )
-
-    DEFAULT_HOST: str = 'dataplex.googleapis.com'
-    def __init__(
-            self, *,
-            host: str = DEFAULT_HOST,
-            credentials: Optional[ga_credentials.Credentials] = None,
-            credentials_file: Optional[str] = None,
-            scopes: Optional[Sequence[str]] = None,
-            quota_project_id: Optional[str] = None,
-            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-            always_use_jwt_access: Optional[bool] = False,
-            api_audience: Optional[str] = None,
-            **kwargs,
-            ) -> None:
-        """Instantiate the transport.
-
-        Args:
-            host (Optional[str]):
-                 The hostname to connect to (default: 'dataplex.googleapis.com').
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-                This argument is mutually exclusive with credentials.
-            scopes (Optional[Sequence[str]]): A list of scopes.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
-                The client info used to send a user-agent string along with
-                API requests. If ``None``, then default info will be used.
-                Generally, you only need to set this if you're developing
-                your own client library.
-            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
-                be used for service account credentials.
-        """
-
-        scopes_kwargs = {"scopes": scopes, "default_scopes": self.AUTH_SCOPES}
-
-        # Save the scopes.
-        self._scopes = scopes
-        if not hasattr(self, "_ignore_credentials"):
-            self._ignore_credentials: bool = False
-
-        # If no credentials are provided, then determine the appropriate
-        # defaults.
-        if credentials and credentials_file:
-            raise core_exceptions.DuplicateCredentialArgs("'credentials_file' and 'credentials' are mutually exclusive")
-
-        if credentials_file is not None:
-            credentials, _ = google.auth.load_credentials_from_file(
-                                credentials_file,
-                                **scopes_kwargs,
-                                quota_project_id=quota_project_id
-                            )
-        elif credentials is None and not self._ignore_credentials:
-            credentials, _ = google.auth.default(**scopes_kwargs, quota_project_id=quota_project_id)
-            # Don't apply audience if the credentials file passed from user.
-            if hasattr(credentials, "with_gdch_audience"):
-                credentials = credentials.with_gdch_audience(api_audience if api_audience else host)
-
-        # If the credentials are service account credentials, then always try to use self signed JWT.
-        if always_use_jwt_access and isinstance(credentials, service_account.Credentials) and hasattr(service_account.Credentials, "with_always_use_jwt_access"):
-            credentials = credentials.with_always_use_jwt_access(True)
-
-        # Save the credentials.
-        self._credentials = credentials
-
-        # Save the hostname. Default to port 443 (HTTPS) if none is specified.
-        if ':' not in host:
-            host += ':443'
-        self._host = host
-
-    @property
-    def host(self):
-        return self._host
-
-    def _prep_wrapped_messages(self, client_info):
-        # Precompute the wrapped methods.
-        self._wrapped_methods = {
-            self.create_data_taxonomy: gapic_v1.method.wrap_method(
-                self.create_data_taxonomy,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.update_data_taxonomy: gapic_v1.method.wrap_method(
-                self.update_data_taxonomy,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.delete_data_taxonomy: gapic_v1.method.wrap_method(
-                self.delete_data_taxonomy,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.list_data_taxonomies: gapic_v1.method.wrap_method(
-                self.list_data_taxonomies,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.get_data_taxonomy: gapic_v1.method.wrap_method(
-                self.get_data_taxonomy,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.create_data_attribute_binding: gapic_v1.method.wrap_method(
-                self.create_data_attribute_binding,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.update_data_attribute_binding: gapic_v1.method.wrap_method(
-                self.update_data_attribute_binding,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.delete_data_attribute_binding: gapic_v1.method.wrap_method(
-                self.delete_data_attribute_binding,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.list_data_attribute_bindings: gapic_v1.method.wrap_method(
-                self.list_data_attribute_bindings,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.get_data_attribute_binding: gapic_v1.method.wrap_method(
-                self.get_data_attribute_binding,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.create_data_attribute: gapic_v1.method.wrap_method(
-                self.create_data_attribute,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.update_data_attribute: gapic_v1.method.wrap_method(
-                self.update_data_attribute,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.delete_data_attribute: gapic_v1.method.wrap_method(
-                self.delete_data_attribute,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.list_data_attributes: gapic_v1.method.wrap_method(
-                self.list_data_attributes,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.get_data_attribute: gapic_v1.method.wrap_method(
-                self.get_data_attribute,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.get_location: gapic_v1.method.wrap_method(
-                self.get_location,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.list_locations: gapic_v1.method.wrap_method(
-                self.list_locations,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.cancel_operation: gapic_v1.method.wrap_method(
-                self.cancel_operation,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.delete_operation: gapic_v1.method.wrap_method(
-                self.delete_operation,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.get_operation: gapic_v1.method.wrap_method(
-                self.get_operation,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.list_operations: gapic_v1.method.wrap_method(
-                self.list_operations,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-         }
-
-    def close(self):
-        """Closes resources associated with the transport.
-
-       .. warning::
-            Only call this method if the transport is NOT shared
-            with other clients - this may cause errors in other clients!
-        """
-        raise NotImplementedError()
-
-    @property
-    def operations_client(self):
-        """Return the client designed to process long-running operations."""
-        raise NotImplementedError()
-
-    @property
-    def create_data_taxonomy(self) -> Callable[
-            [gcd_data_taxonomy.CreateDataTaxonomyRequest],
-            Union[
-                operations_pb2.Operation,
-                Awaitable[operations_pb2.Operation]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def update_data_taxonomy(self) -> Callable[
-            [gcd_data_taxonomy.UpdateDataTaxonomyRequest],
-            Union[
-                operations_pb2.Operation,
-                Awaitable[operations_pb2.Operation]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def delete_data_taxonomy(self) -> Callable[
-            [data_taxonomy.DeleteDataTaxonomyRequest],
-            Union[
-                operations_pb2.Operation,
-                Awaitable[operations_pb2.Operation]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def list_data_taxonomies(self) -> Callable[
-            [data_taxonomy.ListDataTaxonomiesRequest],
-            Union[
-                data_taxonomy.ListDataTaxonomiesResponse,
-                Awaitable[data_taxonomy.ListDataTaxonomiesResponse]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def get_data_taxonomy(self) -> Callable[
-            [data_taxonomy.GetDataTaxonomyRequest],
-            Union[
-                data_taxonomy.DataTaxonomy,
-                Awaitable[data_taxonomy.DataTaxonomy]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def create_data_attribute_binding(self) -> Callable[
-            [data_taxonomy.CreateDataAttributeBindingRequest],
-            Union[
-                operations_pb2.Operation,
-                Awaitable[operations_pb2.Operation]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def update_data_attribute_binding(self) -> Callable[
-            [data_taxonomy.UpdateDataAttributeBindingRequest],
-            Union[
-                operations_pb2.Operation,
-                Awaitable[operations_pb2.Operation]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def delete_data_attribute_binding(self) -> Callable[
-            [data_taxonomy.DeleteDataAttributeBindingRequest],
-            Union[
-                operations_pb2.Operation,
-                Awaitable[operations_pb2.Operation]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def list_data_attribute_bindings(self) -> Callable[
-            [data_taxonomy.ListDataAttributeBindingsRequest],
-            Union[
-                data_taxonomy.ListDataAttributeBindingsResponse,
-                Awaitable[data_taxonomy.ListDataAttributeBindingsResponse]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def get_data_attribute_binding(self) -> Callable[
-            [data_taxonomy.GetDataAttributeBindingRequest],
-            Union[
-                data_taxonomy.DataAttributeBinding,
-                Awaitable[data_taxonomy.DataAttributeBinding]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def create_data_attribute(self) -> Callable[
-            [data_taxonomy.CreateDataAttributeRequest],
-            Union[
-                operations_pb2.Operation,
-                Awaitable[operations_pb2.Operation]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def update_data_attribute(self) -> Callable[
-            [data_taxonomy.UpdateDataAttributeRequest],
-            Union[
-                operations_pb2.Operation,
-                Awaitable[operations_pb2.Operation]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def delete_data_attribute(self) -> Callable[
-            [data_taxonomy.DeleteDataAttributeRequest],
-            Union[
-                operations_pb2.Operation,
-                Awaitable[operations_pb2.Operation]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def list_data_attributes(self) -> Callable[
-            [data_taxonomy.ListDataAttributesRequest],
-            Union[
-                data_taxonomy.ListDataAttributesResponse,
-                Awaitable[data_taxonomy.ListDataAttributesResponse]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def get_data_attribute(self) -> Callable[
-            [data_taxonomy.GetDataAttributeRequest],
-            Union[
-                data_taxonomy.DataAttribute,
-                Awaitable[data_taxonomy.DataAttribute]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def list_operations(
-        self,
-    ) -> Callable[
-        [operations_pb2.ListOperationsRequest],
-        Union[operations_pb2.ListOperationsResponse, Awaitable[operations_pb2.ListOperationsResponse]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def get_operation(
-        self,
-    ) -> Callable[
-        [operations_pb2.GetOperationRequest],
-        Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def cancel_operation(
-        self,
-    ) -> Callable[
-        [operations_pb2.CancelOperationRequest],
-        None,
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def delete_operation(
-        self,
-    ) -> Callable[
-        [operations_pb2.DeleteOperationRequest],
-        None,
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def get_location(self,
-    ) -> Callable[
-        [locations_pb2.GetLocationRequest],
-        Union[locations_pb2.Location, Awaitable[locations_pb2.Location]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def list_locations(self,
-    ) -> Callable[
-        [locations_pb2.ListLocationsRequest],
-        Union[locations_pb2.ListLocationsResponse, Awaitable[locations_pb2.ListLocationsResponse]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def kind(self) -> str:
-        raise NotImplementedError()
-
-
-__all__ = (
-    'DataTaxonomyServiceTransport',
-)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_taxonomy_service/transports/grpc.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_taxonomy_service/transports/grpc.py
deleted file mode 100644
index d7703acdda72..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_taxonomy_service/transports/grpc.py
+++ /dev/null
@@ -1,773 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-import warnings
-from typing import Callable, Dict, Optional, Sequence, Tuple, Union
-
-from google.api_core import grpc_helpers
-from google.api_core import operations_v1
-from google.api_core import gapic_v1
-import google.auth                         # type: ignore
-from google.auth import credentials as ga_credentials  # type: ignore
-from google.auth.transport.grpc import SslCredentials  # type: ignore
-
-import grpc  # type: ignore
-
-from google.cloud.dataplex_v1.types import data_taxonomy
-from google.cloud.dataplex_v1.types import data_taxonomy as gcd_data_taxonomy
-from google.cloud.location import locations_pb2 # type: ignore
-from google.iam.v1 import iam_policy_pb2  # type: ignore
-from google.iam.v1 import policy_pb2  # type: ignore
-from google.longrunning import operations_pb2 # type: ignore
-from .base import DataTaxonomyServiceTransport, DEFAULT_CLIENT_INFO
-
-
-class DataTaxonomyServiceGrpcTransport(DataTaxonomyServiceTransport):
-    """gRPC backend transport for DataTaxonomyService.
-
-    DataTaxonomyService enables attribute-based governance. The
-    resources currently offered include DataTaxonomy and
-    DataAttribute.
-
-    This class defines the same methods as the primary client, so the
-    primary client can load the underlying transport implementation
-    and call it.
-
-    It sends protocol buffers over the wire using gRPC (which is built on
-    top of HTTP/2); the ``grpcio`` package must be installed.
-    """
-    _stubs: Dict[str, Callable]
-
-    def __init__(self, *,
-            host: str = 'dataplex.googleapis.com',
-            credentials: Optional[ga_credentials.Credentials] = None,
-            credentials_file: Optional[str] = None,
-            scopes: Optional[Sequence[str]] = None,
-            channel: Optional[Union[grpc.Channel, Callable[..., grpc.Channel]]] = None,
-            api_mtls_endpoint: Optional[str] = None,
-            client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
-            ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None,
-            client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
-            quota_project_id: Optional[str] = None,
-            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-            always_use_jwt_access: Optional[bool] = False,
-            api_audience: Optional[str] = None,
-            ) -> None:
-        """Instantiate the transport.
-
-        Args:
-            host (Optional[str]):
-                 The hostname to connect to (default: 'dataplex.googleapis.com').
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-                This argument is ignored if a ``channel`` instance is provided.
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-                This argument is ignored if a ``channel`` instance is provided.
-            scopes (Optional(Sequence[str])): A list of scopes. This argument is
-                ignored if a ``channel`` instance is provided.
-            channel (Optional[Union[grpc.Channel, Callable[..., grpc.Channel]]]):
-                A ``Channel`` instance through which to make calls, or a Callable
-                that constructs and returns one. If set to None, ``self.create_channel``
-                is used to create the channel. If a Callable is given, it will be called
-                with the same arguments as used in ``self.create_channel``.
-            api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint.
-                If provided, it overrides the ``host`` argument and tries to create
-                a mutual TLS channel with client SSL credentials from
-                ``client_cert_source`` or application default SSL credentials.
-            client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]):
-                Deprecated. A callback to provide client SSL certificate bytes and
-                private key bytes, both in PEM format. It is ignored if
-                ``api_mtls_endpoint`` is None.
-            ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials
-                for the grpc channel. It is ignored if a ``channel`` instance is provided.
-            client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]):
-                A callback to provide client certificate bytes and private key bytes,
-                both in PEM format. It is used to configure a mutual TLS channel. It is
-                ignored if a ``channel`` instance or ``ssl_channel_credentials`` is provided.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
-                The client info used to send a user-agent string along with
-                API requests. If ``None``, then default info will be used.
-                Generally, you only need to set this if you're developing
-                your own client library.
-            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
-                be used for service account credentials.
-
-        Raises:
-          google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport
-              creation failed for any reason.
-          google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials``
-              and ``credentials_file`` are passed.
-        """
-        self._grpc_channel = None
-        self._ssl_channel_credentials = ssl_channel_credentials
-        self._stubs: Dict[str, Callable] = {}
-        self._operations_client: Optional[operations_v1.OperationsClient] = None
-
-        if api_mtls_endpoint:
-            warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning)
-        if client_cert_source:
-            warnings.warn("client_cert_source is deprecated", DeprecationWarning)
-
-        if isinstance(channel, grpc.Channel):
-            # Ignore credentials if a channel was passed.
-            credentials = None
-            self._ignore_credentials = True
-            # If a channel was explicitly provided, set it.
-            self._grpc_channel = channel
-            self._ssl_channel_credentials = None
-
-        else:
-            if api_mtls_endpoint:
-                host = api_mtls_endpoint
-
-                # Create SSL credentials with client_cert_source or application
-                # default SSL credentials.
-                if client_cert_source:
-                    cert, key = client_cert_source()
-                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
-                        certificate_chain=cert, private_key=key
-                    )
-                else:
-                    self._ssl_channel_credentials = SslCredentials().ssl_credentials
-
-            else:
-                if client_cert_source_for_mtls and not ssl_channel_credentials:
-                    cert, key = client_cert_source_for_mtls()
-                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
-                        certificate_chain=cert, private_key=key
-                    )
-
-        # The base transport sets the host, credentials and scopes
-        super().__init__(
-            host=host,
-            credentials=credentials,
-            credentials_file=credentials_file,
-            scopes=scopes,
-            quota_project_id=quota_project_id,
-            client_info=client_info,
-            always_use_jwt_access=always_use_jwt_access,
-            api_audience=api_audience,
-        )
-
-        if not self._grpc_channel:
-            # initialize with the provided callable or the default channel
-            channel_init = channel or type(self).create_channel
-            self._grpc_channel = channel_init(
-                self._host,
-                # use the credentials which are saved
-                credentials=self._credentials,
-                # Set ``credentials_file`` to ``None`` here as
-                # the credentials that we saved earlier should be used.
-                credentials_file=None,
-                scopes=self._scopes,
-                ssl_credentials=self._ssl_channel_credentials,
-                quota_project_id=quota_project_id,
-                options=[
-                    ("grpc.max_send_message_length", -1),
-                    ("grpc.max_receive_message_length", -1),
-                ],
-            )
-
-        # Wrap messages. This must be done after self._grpc_channel exists
-        self._prep_wrapped_messages(client_info)
-
-    @classmethod
-    def create_channel(cls,
-                       host: str = 'dataplex.googleapis.com',
-                       credentials: Optional[ga_credentials.Credentials] = None,
-                       credentials_file: Optional[str] = None,
-                       scopes: Optional[Sequence[str]] = None,
-                       quota_project_id: Optional[str] = None,
-                       **kwargs) -> grpc.Channel:
-        """Create and return a gRPC channel object.
-        Args:
-            host (Optional[str]): The host for the channel to use.
-            credentials (Optional[~.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify this application to the service. If
-                none are specified, the client will attempt to ascertain
-                the credentials from the environment.
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-                This argument is mutually exclusive with credentials.
-            scopes (Optional[Sequence[str]]): A optional list of scopes needed for this
-                service. These are only used when credentials are not specified and
-                are passed to :func:`google.auth.default`.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            kwargs (Optional[dict]): Keyword arguments, which are passed to the
-                channel creation.
-        Returns:
-            grpc.Channel: A gRPC channel object.
-
-        Raises:
-            google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials``
-              and ``credentials_file`` are passed.
-        """
-
-        return grpc_helpers.create_channel(
-            host,
-            credentials=credentials,
-            credentials_file=credentials_file,
-            quota_project_id=quota_project_id,
-            default_scopes=cls.AUTH_SCOPES,
-            scopes=scopes,
-            default_host=cls.DEFAULT_HOST,
-            **kwargs
-        )
-
-    @property
-    def grpc_channel(self) -> grpc.Channel:
-        """Return the channel designed to connect to this service.
-        """
-        return self._grpc_channel
-
-    @property
-    def operations_client(self) -> operations_v1.OperationsClient:
-        """Create the client designed to process long-running operations.
-
-        This property caches on the instance; repeated calls return the same
-        client.
-        """
-        # Quick check: Only create a new client if we do not already have one.
-        if self._operations_client is None:
-            self._operations_client = operations_v1.OperationsClient(
-                self.grpc_channel
-            )
-
-        # Return the client from cache.
-        return self._operations_client
-
-    @property
-    def create_data_taxonomy(self) -> Callable[
-            [gcd_data_taxonomy.CreateDataTaxonomyRequest],
-            operations_pb2.Operation]:
-        r"""Return a callable for the create data taxonomy method over gRPC.
-
-        Create a DataTaxonomy resource.
-
-        Returns:
-            Callable[[~.CreateDataTaxonomyRequest],
-                    ~.Operation]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'create_data_taxonomy' not in self._stubs:
-            self._stubs['create_data_taxonomy'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataTaxonomyService/CreateDataTaxonomy',
-                request_serializer=gcd_data_taxonomy.CreateDataTaxonomyRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['create_data_taxonomy']
-
-    @property
-    def update_data_taxonomy(self) -> Callable[
-            [gcd_data_taxonomy.UpdateDataTaxonomyRequest],
-            operations_pb2.Operation]:
-        r"""Return a callable for the update data taxonomy method over gRPC.
-
-        Updates a DataTaxonomy resource.
-
-        Returns:
-            Callable[[~.UpdateDataTaxonomyRequest],
-                    ~.Operation]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'update_data_taxonomy' not in self._stubs:
-            self._stubs['update_data_taxonomy'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataTaxonomyService/UpdateDataTaxonomy',
-                request_serializer=gcd_data_taxonomy.UpdateDataTaxonomyRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['update_data_taxonomy']
-
-    @property
-    def delete_data_taxonomy(self) -> Callable[
-            [data_taxonomy.DeleteDataTaxonomyRequest],
-            operations_pb2.Operation]:
-        r"""Return a callable for the delete data taxonomy method over gRPC.
-
-        Deletes a DataTaxonomy resource. All attributes
-        within the DataTaxonomy must be deleted before the
-        DataTaxonomy can be deleted.
-
-        Returns:
-            Callable[[~.DeleteDataTaxonomyRequest],
-                    ~.Operation]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'delete_data_taxonomy' not in self._stubs:
-            self._stubs['delete_data_taxonomy'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataTaxonomyService/DeleteDataTaxonomy',
-                request_serializer=data_taxonomy.DeleteDataTaxonomyRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['delete_data_taxonomy']
-
-    @property
-    def list_data_taxonomies(self) -> Callable[
-            [data_taxonomy.ListDataTaxonomiesRequest],
-            data_taxonomy.ListDataTaxonomiesResponse]:
-        r"""Return a callable for the list data taxonomies method over gRPC.
-
-        Lists DataTaxonomy resources in a project and
-        location.
-
-        Returns:
-            Callable[[~.ListDataTaxonomiesRequest],
-                    ~.ListDataTaxonomiesResponse]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'list_data_taxonomies' not in self._stubs:
-            self._stubs['list_data_taxonomies'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataTaxonomyService/ListDataTaxonomies',
-                request_serializer=data_taxonomy.ListDataTaxonomiesRequest.serialize,
-                response_deserializer=data_taxonomy.ListDataTaxonomiesResponse.deserialize,
-            )
-        return self._stubs['list_data_taxonomies']
-
-    @property
-    def get_data_taxonomy(self) -> Callable[
-            [data_taxonomy.GetDataTaxonomyRequest],
-            data_taxonomy.DataTaxonomy]:
-        r"""Return a callable for the get data taxonomy method over gRPC.
-
-        Retrieves a DataTaxonomy resource.
-
-        Returns:
-            Callable[[~.GetDataTaxonomyRequest],
-                    ~.DataTaxonomy]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'get_data_taxonomy' not in self._stubs:
-            self._stubs['get_data_taxonomy'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataTaxonomyService/GetDataTaxonomy',
-                request_serializer=data_taxonomy.GetDataTaxonomyRequest.serialize,
-                response_deserializer=data_taxonomy.DataTaxonomy.deserialize,
-            )
-        return self._stubs['get_data_taxonomy']
-
-    @property
-    def create_data_attribute_binding(self) -> Callable[
-            [data_taxonomy.CreateDataAttributeBindingRequest],
-            operations_pb2.Operation]:
-        r"""Return a callable for the create data attribute binding method over gRPC.
-
-        Create a DataAttributeBinding resource.
-
-        Returns:
-            Callable[[~.CreateDataAttributeBindingRequest],
-                    ~.Operation]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'create_data_attribute_binding' not in self._stubs:
-            self._stubs['create_data_attribute_binding'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataTaxonomyService/CreateDataAttributeBinding',
-                request_serializer=data_taxonomy.CreateDataAttributeBindingRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['create_data_attribute_binding']
-
-    @property
-    def update_data_attribute_binding(self) -> Callable[
-            [data_taxonomy.UpdateDataAttributeBindingRequest],
-            operations_pb2.Operation]:
-        r"""Return a callable for the update data attribute binding method over gRPC.
-
-        Updates a DataAttributeBinding resource.
-
-        Returns:
-            Callable[[~.UpdateDataAttributeBindingRequest],
-                    ~.Operation]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'update_data_attribute_binding' not in self._stubs:
-            self._stubs['update_data_attribute_binding'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataTaxonomyService/UpdateDataAttributeBinding',
-                request_serializer=data_taxonomy.UpdateDataAttributeBindingRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['update_data_attribute_binding']
-
-    @property
-    def delete_data_attribute_binding(self) -> Callable[
-            [data_taxonomy.DeleteDataAttributeBindingRequest],
-            operations_pb2.Operation]:
-        r"""Return a callable for the delete data attribute binding method over gRPC.
-
-        Deletes a DataAttributeBinding resource. All
-        attributes within the DataAttributeBinding must be
-        deleted before the DataAttributeBinding can be deleted.
-
-        Returns:
-            Callable[[~.DeleteDataAttributeBindingRequest],
-                    ~.Operation]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'delete_data_attribute_binding' not in self._stubs:
-            self._stubs['delete_data_attribute_binding'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataTaxonomyService/DeleteDataAttributeBinding',
-                request_serializer=data_taxonomy.DeleteDataAttributeBindingRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['delete_data_attribute_binding']
-
-    @property
-    def list_data_attribute_bindings(self) -> Callable[
-            [data_taxonomy.ListDataAttributeBindingsRequest],
-            data_taxonomy.ListDataAttributeBindingsResponse]:
-        r"""Return a callable for the list data attribute bindings method over gRPC.
-
-        Lists DataAttributeBinding resources in a project and
-        location.
-
-        Returns:
-            Callable[[~.ListDataAttributeBindingsRequest],
-                    ~.ListDataAttributeBindingsResponse]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'list_data_attribute_bindings' not in self._stubs:
-            self._stubs['list_data_attribute_bindings'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataTaxonomyService/ListDataAttributeBindings',
-                request_serializer=data_taxonomy.ListDataAttributeBindingsRequest.serialize,
-                response_deserializer=data_taxonomy.ListDataAttributeBindingsResponse.deserialize,
-            )
-        return self._stubs['list_data_attribute_bindings']
-
-    @property
-    def get_data_attribute_binding(self) -> Callable[
-            [data_taxonomy.GetDataAttributeBindingRequest],
-            data_taxonomy.DataAttributeBinding]:
-        r"""Return a callable for the get data attribute binding method over gRPC.
-
-        Retrieves a DataAttributeBinding resource.
-
-        Returns:
-            Callable[[~.GetDataAttributeBindingRequest],
-                    ~.DataAttributeBinding]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'get_data_attribute_binding' not in self._stubs:
-            self._stubs['get_data_attribute_binding'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataTaxonomyService/GetDataAttributeBinding',
-                request_serializer=data_taxonomy.GetDataAttributeBindingRequest.serialize,
-                response_deserializer=data_taxonomy.DataAttributeBinding.deserialize,
-            )
-        return self._stubs['get_data_attribute_binding']
-
-    @property
-    def create_data_attribute(self) -> Callable[
-            [data_taxonomy.CreateDataAttributeRequest],
-            operations_pb2.Operation]:
-        r"""Return a callable for the create data attribute method over gRPC.
-
-        Create a DataAttribute resource.
-
-        Returns:
-            Callable[[~.CreateDataAttributeRequest],
-                    ~.Operation]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'create_data_attribute' not in self._stubs:
-            self._stubs['create_data_attribute'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataTaxonomyService/CreateDataAttribute',
-                request_serializer=data_taxonomy.CreateDataAttributeRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['create_data_attribute']
-
-    @property
-    def update_data_attribute(self) -> Callable[
-            [data_taxonomy.UpdateDataAttributeRequest],
-            operations_pb2.Operation]:
-        r"""Return a callable for the update data attribute method over gRPC.
-
-        Updates a DataAttribute resource.
-
-        Returns:
-            Callable[[~.UpdateDataAttributeRequest],
-                    ~.Operation]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'update_data_attribute' not in self._stubs:
-            self._stubs['update_data_attribute'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataTaxonomyService/UpdateDataAttribute',
-                request_serializer=data_taxonomy.UpdateDataAttributeRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['update_data_attribute']
-
-    @property
-    def delete_data_attribute(self) -> Callable[
-            [data_taxonomy.DeleteDataAttributeRequest],
-            operations_pb2.Operation]:
-        r"""Return a callable for the delete data attribute method over gRPC.
-
-        Deletes a Data Attribute resource.
-
-        Returns:
-            Callable[[~.DeleteDataAttributeRequest],
-                    ~.Operation]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'delete_data_attribute' not in self._stubs:
-            self._stubs['delete_data_attribute'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataTaxonomyService/DeleteDataAttribute',
-                request_serializer=data_taxonomy.DeleteDataAttributeRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['delete_data_attribute']
-
-    @property
-    def list_data_attributes(self) -> Callable[
-            [data_taxonomy.ListDataAttributesRequest],
-            data_taxonomy.ListDataAttributesResponse]:
-        r"""Return a callable for the list data attributes method over gRPC.
-
-        Lists Data Attribute resources in a DataTaxonomy.
-
-        Returns:
-            Callable[[~.ListDataAttributesRequest],
-                    ~.ListDataAttributesResponse]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'list_data_attributes' not in self._stubs:
-            self._stubs['list_data_attributes'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataTaxonomyService/ListDataAttributes',
-                request_serializer=data_taxonomy.ListDataAttributesRequest.serialize,
-                response_deserializer=data_taxonomy.ListDataAttributesResponse.deserialize,
-            )
-        return self._stubs['list_data_attributes']
-
-    @property
-    def get_data_attribute(self) -> Callable[
-            [data_taxonomy.GetDataAttributeRequest],
-            data_taxonomy.DataAttribute]:
-        r"""Return a callable for the get data attribute method over gRPC.
-
-        Retrieves a Data Attribute resource.
-
-        Returns:
-            Callable[[~.GetDataAttributeRequest],
-                    ~.DataAttribute]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'get_data_attribute' not in self._stubs:
-            self._stubs['get_data_attribute'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataTaxonomyService/GetDataAttribute',
-                request_serializer=data_taxonomy.GetDataAttributeRequest.serialize,
-                response_deserializer=data_taxonomy.DataAttribute.deserialize,
-            )
-        return self._stubs['get_data_attribute']
-
-    def close(self):
-        self.grpc_channel.close()
-
-    @property
-    def delete_operation(
-        self,
-    ) -> Callable[[operations_pb2.DeleteOperationRequest], None]:
-        r"""Return a callable for the delete_operation method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "delete_operation" not in self._stubs:
-            self._stubs["delete_operation"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/DeleteOperation",
-                request_serializer=operations_pb2.DeleteOperationRequest.SerializeToString,
-                response_deserializer=None,
-            )
-        return self._stubs["delete_operation"]
-
-    @property
-    def cancel_operation(
-        self,
-    ) -> Callable[[operations_pb2.CancelOperationRequest], None]:
-        r"""Return a callable for the cancel_operation method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "cancel_operation" not in self._stubs:
-            self._stubs["cancel_operation"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/CancelOperation",
-                request_serializer=operations_pb2.CancelOperationRequest.SerializeToString,
-                response_deserializer=None,
-            )
-        return self._stubs["cancel_operation"]
-
-    @property
-    def get_operation(
-        self,
-    ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]:
-        r"""Return a callable for the get_operation method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "get_operation" not in self._stubs:
-            self._stubs["get_operation"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/GetOperation",
-                request_serializer=operations_pb2.GetOperationRequest.SerializeToString,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs["get_operation"]
-
-    @property
-    def list_operations(
-        self,
-    ) -> Callable[[operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse]:
-        r"""Return a callable for the list_operations method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "list_operations" not in self._stubs:
-            self._stubs["list_operations"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/ListOperations",
-                request_serializer=operations_pb2.ListOperationsRequest.SerializeToString,
-                response_deserializer=operations_pb2.ListOperationsResponse.FromString,
-            )
-        return self._stubs["list_operations"]
-
-    @property
-    def list_locations(
-        self,
-    ) -> Callable[[locations_pb2.ListLocationsRequest], locations_pb2.ListLocationsResponse]:
-        r"""Return a callable for the list locations method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "list_locations" not in self._stubs:
-            self._stubs["list_locations"] = self.grpc_channel.unary_unary(
-                "/google.cloud.location.Locations/ListLocations",
-                request_serializer=locations_pb2.ListLocationsRequest.SerializeToString,
-                response_deserializer=locations_pb2.ListLocationsResponse.FromString,
-            )
-        return self._stubs["list_locations"]
-
-    @property
-    def get_location(
-        self,
-    ) -> Callable[[locations_pb2.GetLocationRequest], locations_pb2.Location]:
-        r"""Return a callable for the list locations method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "get_location" not in self._stubs:
-            self._stubs["get_location"] = self.grpc_channel.unary_unary(
-                "/google.cloud.location.Locations/GetLocation",
-                request_serializer=locations_pb2.GetLocationRequest.SerializeToString,
-                response_deserializer=locations_pb2.Location.FromString,
-            )
-        return self._stubs["get_location"]
-
-    @property
-    def kind(self) -> str:
-        return "grpc"
-
-
-__all__ = (
-    'DataTaxonomyServiceGrpcTransport',
-)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_taxonomy_service/transports/grpc_asyncio.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_taxonomy_service/transports/grpc_asyncio.py
deleted file mode 100644
index a8b233e044c8..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/data_taxonomy_service/transports/grpc_asyncio.py
+++ /dev/null
@@ -1,894 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-import inspect
-import warnings
-from typing import Awaitable, Callable, Dict, Optional, Sequence, Tuple, Union
-
-from google.api_core import gapic_v1
-from google.api_core import grpc_helpers_async
-from google.api_core import exceptions as core_exceptions
-from google.api_core import retry_async as retries
-from google.api_core import operations_v1
-from google.auth import credentials as ga_credentials   # type: ignore
-from google.auth.transport.grpc import SslCredentials  # type: ignore
-
-import grpc                        # type: ignore
-from grpc.experimental import aio  # type: ignore
-
-from google.cloud.dataplex_v1.types import data_taxonomy
-from google.cloud.dataplex_v1.types import data_taxonomy as gcd_data_taxonomy
-from google.cloud.location import locations_pb2 # type: ignore
-from google.iam.v1 import iam_policy_pb2  # type: ignore
-from google.iam.v1 import policy_pb2  # type: ignore
-from google.longrunning import operations_pb2 # type: ignore
-from .base import DataTaxonomyServiceTransport, DEFAULT_CLIENT_INFO
-from .grpc import DataTaxonomyServiceGrpcTransport
-
-
-class DataTaxonomyServiceGrpcAsyncIOTransport(DataTaxonomyServiceTransport):
-    """gRPC AsyncIO backend transport for DataTaxonomyService.
-
-    DataTaxonomyService enables attribute-based governance. The
-    resources currently offered include DataTaxonomy and
-    DataAttribute.
-
-    This class defines the same methods as the primary client, so the
-    primary client can load the underlying transport implementation
-    and call it.
-
-    It sends protocol buffers over the wire using gRPC (which is built on
-    top of HTTP/2); the ``grpcio`` package must be installed.
-    """
-
-    _grpc_channel: aio.Channel
-    _stubs: Dict[str, Callable] = {}
-
-    @classmethod
-    def create_channel(cls,
-                       host: str = 'dataplex.googleapis.com',
-                       credentials: Optional[ga_credentials.Credentials] = None,
-                       credentials_file: Optional[str] = None,
-                       scopes: Optional[Sequence[str]] = None,
-                       quota_project_id: Optional[str] = None,
-                       **kwargs) -> aio.Channel:
-        """Create and return a gRPC AsyncIO channel object.
-        Args:
-            host (Optional[str]): The host for the channel to use.
-            credentials (Optional[~.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify this application to the service. If
-                none are specified, the client will attempt to ascertain
-                the credentials from the environment.
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-            scopes (Optional[Sequence[str]]): A optional list of scopes needed for this
-                service. These are only used when credentials are not specified and
-                are passed to :func:`google.auth.default`.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            kwargs (Optional[dict]): Keyword arguments, which are passed to the
-                channel creation.
-        Returns:
-            aio.Channel: A gRPC AsyncIO channel object.
-        """
-
-        return grpc_helpers_async.create_channel(
-            host,
-            credentials=credentials,
-            credentials_file=credentials_file,
-            quota_project_id=quota_project_id,
-            default_scopes=cls.AUTH_SCOPES,
-            scopes=scopes,
-            default_host=cls.DEFAULT_HOST,
-            **kwargs
-        )
-
-    def __init__(self, *,
-            host: str = 'dataplex.googleapis.com',
-            credentials: Optional[ga_credentials.Credentials] = None,
-            credentials_file: Optional[str] = None,
-            scopes: Optional[Sequence[str]] = None,
-            channel: Optional[Union[aio.Channel, Callable[..., aio.Channel]]] = None,
-            api_mtls_endpoint: Optional[str] = None,
-            client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
-            ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None,
-            client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
-            quota_project_id: Optional[str] = None,
-            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-            always_use_jwt_access: Optional[bool] = False,
-            api_audience: Optional[str] = None,
-            ) -> None:
-        """Instantiate the transport.
-
-        Args:
-            host (Optional[str]):
-                 The hostname to connect to (default: 'dataplex.googleapis.com').
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-                This argument is ignored if a ``channel`` instance is provided.
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-                This argument is ignored if a ``channel`` instance is provided.
-            scopes (Optional[Sequence[str]]): A optional list of scopes needed for this
-                service. These are only used when credentials are not specified and
-                are passed to :func:`google.auth.default`.
-            channel (Optional[Union[aio.Channel, Callable[..., aio.Channel]]]):
-                A ``Channel`` instance through which to make calls, or a Callable
-                that constructs and returns one. If set to None, ``self.create_channel``
-                is used to create the channel. If a Callable is given, it will be called
-                with the same arguments as used in ``self.create_channel``.
-            api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint.
-                If provided, it overrides the ``host`` argument and tries to create
-                a mutual TLS channel with client SSL credentials from
-                ``client_cert_source`` or application default SSL credentials.
-            client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]):
-                Deprecated. A callback to provide client SSL certificate bytes and
-                private key bytes, both in PEM format. It is ignored if
-                ``api_mtls_endpoint`` is None.
-            ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials
-                for the grpc channel. It is ignored if a ``channel`` instance is provided.
-            client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]):
-                A callback to provide client certificate bytes and private key bytes,
-                both in PEM format. It is used to configure a mutual TLS channel. It is
-                ignored if a ``channel`` instance or ``ssl_channel_credentials`` is provided.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
-                The client info used to send a user-agent string along with
-                API requests. If ``None``, then default info will be used.
-                Generally, you only need to set this if you're developing
-                your own client library.
-            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
-                be used for service account credentials.
-
-        Raises:
-            google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport
-              creation failed for any reason.
-          google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials``
-              and ``credentials_file`` are passed.
-        """
-        self._grpc_channel = None
-        self._ssl_channel_credentials = ssl_channel_credentials
-        self._stubs: Dict[str, Callable] = {}
-        self._operations_client: Optional[operations_v1.OperationsAsyncClient] = None
-
-        if api_mtls_endpoint:
-            warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning)
-        if client_cert_source:
-            warnings.warn("client_cert_source is deprecated", DeprecationWarning)
-
-        if isinstance(channel, aio.Channel):
-            # Ignore credentials if a channel was passed.
-            credentials = None
-            self._ignore_credentials = True
-            # If a channel was explicitly provided, set it.
-            self._grpc_channel = channel
-            self._ssl_channel_credentials = None
-        else:
-            if api_mtls_endpoint:
-                host = api_mtls_endpoint
-
-                # Create SSL credentials with client_cert_source or application
-                # default SSL credentials.
-                if client_cert_source:
-                    cert, key = client_cert_source()
-                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
-                        certificate_chain=cert, private_key=key
-                    )
-                else:
-                    self._ssl_channel_credentials = SslCredentials().ssl_credentials
-
-            else:
-                if client_cert_source_for_mtls and not ssl_channel_credentials:
-                    cert, key = client_cert_source_for_mtls()
-                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
-                        certificate_chain=cert, private_key=key
-                    )
-
-        # The base transport sets the host, credentials and scopes
-        super().__init__(
-            host=host,
-            credentials=credentials,
-            credentials_file=credentials_file,
-            scopes=scopes,
-            quota_project_id=quota_project_id,
-            client_info=client_info,
-            always_use_jwt_access=always_use_jwt_access,
-            api_audience=api_audience,
-        )
-
-        if not self._grpc_channel:
-            # initialize with the provided callable or the default channel
-            channel_init = channel or type(self).create_channel
-            self._grpc_channel = channel_init(
-                self._host,
-                # use the credentials which are saved
-                credentials=self._credentials,
-                # Set ``credentials_file`` to ``None`` here as
-                # the credentials that we saved earlier should be used.
-                credentials_file=None,
-                scopes=self._scopes,
-                ssl_credentials=self._ssl_channel_credentials,
-                quota_project_id=quota_project_id,
-                options=[
-                    ("grpc.max_send_message_length", -1),
-                    ("grpc.max_receive_message_length", -1),
-                ],
-            )
-
-        # Wrap messages. This must be done after self._grpc_channel exists
-        self._wrap_with_kind = "kind" in inspect.signature(gapic_v1.method_async.wrap_method).parameters
-        self._prep_wrapped_messages(client_info)
-
-    @property
-    def grpc_channel(self) -> aio.Channel:
-        """Create the channel designed to connect to this service.
-
-        This property caches on the instance; repeated calls return
-        the same channel.
-        """
-        # Return the channel from cache.
-        return self._grpc_channel
-
-    @property
-    def operations_client(self) -> operations_v1.OperationsAsyncClient:
-        """Create the client designed to process long-running operations.
-
-        This property caches on the instance; repeated calls return the same
-        client.
-        """
-        # Quick check: Only create a new client if we do not already have one.
-        if self._operations_client is None:
-            self._operations_client = operations_v1.OperationsAsyncClient(
-                self.grpc_channel
-            )
-
-        # Return the client from cache.
-        return self._operations_client
-
-    @property
-    def create_data_taxonomy(self) -> Callable[
-            [gcd_data_taxonomy.CreateDataTaxonomyRequest],
-            Awaitable[operations_pb2.Operation]]:
-        r"""Return a callable for the create data taxonomy method over gRPC.
-
-        Create a DataTaxonomy resource.
-
-        Returns:
-            Callable[[~.CreateDataTaxonomyRequest],
-                    Awaitable[~.Operation]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'create_data_taxonomy' not in self._stubs:
-            self._stubs['create_data_taxonomy'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataTaxonomyService/CreateDataTaxonomy',
-                request_serializer=gcd_data_taxonomy.CreateDataTaxonomyRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['create_data_taxonomy']
-
-    @property
-    def update_data_taxonomy(self) -> Callable[
-            [gcd_data_taxonomy.UpdateDataTaxonomyRequest],
-            Awaitable[operations_pb2.Operation]]:
-        r"""Return a callable for the update data taxonomy method over gRPC.
-
-        Updates a DataTaxonomy resource.
-
-        Returns:
-            Callable[[~.UpdateDataTaxonomyRequest],
-                    Awaitable[~.Operation]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'update_data_taxonomy' not in self._stubs:
-            self._stubs['update_data_taxonomy'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataTaxonomyService/UpdateDataTaxonomy',
-                request_serializer=gcd_data_taxonomy.UpdateDataTaxonomyRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['update_data_taxonomy']
-
-    @property
-    def delete_data_taxonomy(self) -> Callable[
-            [data_taxonomy.DeleteDataTaxonomyRequest],
-            Awaitable[operations_pb2.Operation]]:
-        r"""Return a callable for the delete data taxonomy method over gRPC.
-
-        Deletes a DataTaxonomy resource. All attributes
-        within the DataTaxonomy must be deleted before the
-        DataTaxonomy can be deleted.
-
-        Returns:
-            Callable[[~.DeleteDataTaxonomyRequest],
-                    Awaitable[~.Operation]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'delete_data_taxonomy' not in self._stubs:
-            self._stubs['delete_data_taxonomy'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataTaxonomyService/DeleteDataTaxonomy',
-                request_serializer=data_taxonomy.DeleteDataTaxonomyRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['delete_data_taxonomy']
-
-    @property
-    def list_data_taxonomies(self) -> Callable[
-            [data_taxonomy.ListDataTaxonomiesRequest],
-            Awaitable[data_taxonomy.ListDataTaxonomiesResponse]]:
-        r"""Return a callable for the list data taxonomies method over gRPC.
-
-        Lists DataTaxonomy resources in a project and
-        location.
-
-        Returns:
-            Callable[[~.ListDataTaxonomiesRequest],
-                    Awaitable[~.ListDataTaxonomiesResponse]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'list_data_taxonomies' not in self._stubs:
-            self._stubs['list_data_taxonomies'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataTaxonomyService/ListDataTaxonomies',
-                request_serializer=data_taxonomy.ListDataTaxonomiesRequest.serialize,
-                response_deserializer=data_taxonomy.ListDataTaxonomiesResponse.deserialize,
-            )
-        return self._stubs['list_data_taxonomies']
-
-    @property
-    def get_data_taxonomy(self) -> Callable[
-            [data_taxonomy.GetDataTaxonomyRequest],
-            Awaitable[data_taxonomy.DataTaxonomy]]:
-        r"""Return a callable for the get data taxonomy method over gRPC.
-
-        Retrieves a DataTaxonomy resource.
-
-        Returns:
-            Callable[[~.GetDataTaxonomyRequest],
-                    Awaitable[~.DataTaxonomy]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'get_data_taxonomy' not in self._stubs:
-            self._stubs['get_data_taxonomy'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataTaxonomyService/GetDataTaxonomy',
-                request_serializer=data_taxonomy.GetDataTaxonomyRequest.serialize,
-                response_deserializer=data_taxonomy.DataTaxonomy.deserialize,
-            )
-        return self._stubs['get_data_taxonomy']
-
-    @property
-    def create_data_attribute_binding(self) -> Callable[
-            [data_taxonomy.CreateDataAttributeBindingRequest],
-            Awaitable[operations_pb2.Operation]]:
-        r"""Return a callable for the create data attribute binding method over gRPC.
-
-        Create a DataAttributeBinding resource.
-
-        Returns:
-            Callable[[~.CreateDataAttributeBindingRequest],
-                    Awaitable[~.Operation]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'create_data_attribute_binding' not in self._stubs:
-            self._stubs['create_data_attribute_binding'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataTaxonomyService/CreateDataAttributeBinding',
-                request_serializer=data_taxonomy.CreateDataAttributeBindingRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['create_data_attribute_binding']
-
-    @property
-    def update_data_attribute_binding(self) -> Callable[
-            [data_taxonomy.UpdateDataAttributeBindingRequest],
-            Awaitable[operations_pb2.Operation]]:
-        r"""Return a callable for the update data attribute binding method over gRPC.
-
-        Updates a DataAttributeBinding resource.
-
-        Returns:
-            Callable[[~.UpdateDataAttributeBindingRequest],
-                    Awaitable[~.Operation]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'update_data_attribute_binding' not in self._stubs:
-            self._stubs['update_data_attribute_binding'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataTaxonomyService/UpdateDataAttributeBinding',
-                request_serializer=data_taxonomy.UpdateDataAttributeBindingRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['update_data_attribute_binding']
-
-    @property
-    def delete_data_attribute_binding(self) -> Callable[
-            [data_taxonomy.DeleteDataAttributeBindingRequest],
-            Awaitable[operations_pb2.Operation]]:
-        r"""Return a callable for the delete data attribute binding method over gRPC.
-
-        Deletes a DataAttributeBinding resource. All
-        attributes within the DataAttributeBinding must be
-        deleted before the DataAttributeBinding can be deleted.
-
-        Returns:
-            Callable[[~.DeleteDataAttributeBindingRequest],
-                    Awaitable[~.Operation]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'delete_data_attribute_binding' not in self._stubs:
-            self._stubs['delete_data_attribute_binding'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataTaxonomyService/DeleteDataAttributeBinding',
-                request_serializer=data_taxonomy.DeleteDataAttributeBindingRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['delete_data_attribute_binding']
-
-    @property
-    def list_data_attribute_bindings(self) -> Callable[
-            [data_taxonomy.ListDataAttributeBindingsRequest],
-            Awaitable[data_taxonomy.ListDataAttributeBindingsResponse]]:
-        r"""Return a callable for the list data attribute bindings method over gRPC.
-
-        Lists DataAttributeBinding resources in a project and
-        location.
-
-        Returns:
-            Callable[[~.ListDataAttributeBindingsRequest],
-                    Awaitable[~.ListDataAttributeBindingsResponse]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'list_data_attribute_bindings' not in self._stubs:
-            self._stubs['list_data_attribute_bindings'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataTaxonomyService/ListDataAttributeBindings',
-                request_serializer=data_taxonomy.ListDataAttributeBindingsRequest.serialize,
-                response_deserializer=data_taxonomy.ListDataAttributeBindingsResponse.deserialize,
-            )
-        return self._stubs['list_data_attribute_bindings']
-
-    @property
-    def get_data_attribute_binding(self) -> Callable[
-            [data_taxonomy.GetDataAttributeBindingRequest],
-            Awaitable[data_taxonomy.DataAttributeBinding]]:
-        r"""Return a callable for the get data attribute binding method over gRPC.
-
-        Retrieves a DataAttributeBinding resource.
-
-        Returns:
-            Callable[[~.GetDataAttributeBindingRequest],
-                    Awaitable[~.DataAttributeBinding]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'get_data_attribute_binding' not in self._stubs:
-            self._stubs['get_data_attribute_binding'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataTaxonomyService/GetDataAttributeBinding',
-                request_serializer=data_taxonomy.GetDataAttributeBindingRequest.serialize,
-                response_deserializer=data_taxonomy.DataAttributeBinding.deserialize,
-            )
-        return self._stubs['get_data_attribute_binding']
-
-    @property
-    def create_data_attribute(self) -> Callable[
-            [data_taxonomy.CreateDataAttributeRequest],
-            Awaitable[operations_pb2.Operation]]:
-        r"""Return a callable for the create data attribute method over gRPC.
-
-        Create a DataAttribute resource.
-
-        Returns:
-            Callable[[~.CreateDataAttributeRequest],
-                    Awaitable[~.Operation]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'create_data_attribute' not in self._stubs:
-            self._stubs['create_data_attribute'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataTaxonomyService/CreateDataAttribute',
-                request_serializer=data_taxonomy.CreateDataAttributeRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['create_data_attribute']
-
-    @property
-    def update_data_attribute(self) -> Callable[
-            [data_taxonomy.UpdateDataAttributeRequest],
-            Awaitable[operations_pb2.Operation]]:
-        r"""Return a callable for the update data attribute method over gRPC.
-
-        Updates a DataAttribute resource.
-
-        Returns:
-            Callable[[~.UpdateDataAttributeRequest],
-                    Awaitable[~.Operation]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'update_data_attribute' not in self._stubs:
-            self._stubs['update_data_attribute'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataTaxonomyService/UpdateDataAttribute',
-                request_serializer=data_taxonomy.UpdateDataAttributeRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['update_data_attribute']
-
-    @property
-    def delete_data_attribute(self) -> Callable[
-            [data_taxonomy.DeleteDataAttributeRequest],
-            Awaitable[operations_pb2.Operation]]:
-        r"""Return a callable for the delete data attribute method over gRPC.
-
-        Deletes a Data Attribute resource.
-
-        Returns:
-            Callable[[~.DeleteDataAttributeRequest],
-                    Awaitable[~.Operation]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'delete_data_attribute' not in self._stubs:
-            self._stubs['delete_data_attribute'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataTaxonomyService/DeleteDataAttribute',
-                request_serializer=data_taxonomy.DeleteDataAttributeRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['delete_data_attribute']
-
-    @property
-    def list_data_attributes(self) -> Callable[
-            [data_taxonomy.ListDataAttributesRequest],
-            Awaitable[data_taxonomy.ListDataAttributesResponse]]:
-        r"""Return a callable for the list data attributes method over gRPC.
-
-        Lists Data Attribute resources in a DataTaxonomy.
-
-        Returns:
-            Callable[[~.ListDataAttributesRequest],
-                    Awaitable[~.ListDataAttributesResponse]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'list_data_attributes' not in self._stubs:
-            self._stubs['list_data_attributes'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataTaxonomyService/ListDataAttributes',
-                request_serializer=data_taxonomy.ListDataAttributesRequest.serialize,
-                response_deserializer=data_taxonomy.ListDataAttributesResponse.deserialize,
-            )
-        return self._stubs['list_data_attributes']
-
-    @property
-    def get_data_attribute(self) -> Callable[
-            [data_taxonomy.GetDataAttributeRequest],
-            Awaitable[data_taxonomy.DataAttribute]]:
-        r"""Return a callable for the get data attribute method over gRPC.
-
-        Retrieves a Data Attribute resource.
-
-        Returns:
-            Callable[[~.GetDataAttributeRequest],
-                    Awaitable[~.DataAttribute]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'get_data_attribute' not in self._stubs:
-            self._stubs['get_data_attribute'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataTaxonomyService/GetDataAttribute',
-                request_serializer=data_taxonomy.GetDataAttributeRequest.serialize,
-                response_deserializer=data_taxonomy.DataAttribute.deserialize,
-            )
-        return self._stubs['get_data_attribute']
-
-    def _prep_wrapped_messages(self, client_info):
-        """ Precompute the wrapped methods, overriding the base class method to use async wrappers."""
-        self._wrapped_methods = {
-            self.create_data_taxonomy: self._wrap_method(
-                self.create_data_taxonomy,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.update_data_taxonomy: self._wrap_method(
-                self.update_data_taxonomy,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.delete_data_taxonomy: self._wrap_method(
-                self.delete_data_taxonomy,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.list_data_taxonomies: self._wrap_method(
-                self.list_data_taxonomies,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.get_data_taxonomy: self._wrap_method(
-                self.get_data_taxonomy,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.create_data_attribute_binding: self._wrap_method(
-                self.create_data_attribute_binding,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.update_data_attribute_binding: self._wrap_method(
-                self.update_data_attribute_binding,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.delete_data_attribute_binding: self._wrap_method(
-                self.delete_data_attribute_binding,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.list_data_attribute_bindings: self._wrap_method(
-                self.list_data_attribute_bindings,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.get_data_attribute_binding: self._wrap_method(
-                self.get_data_attribute_binding,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.create_data_attribute: self._wrap_method(
-                self.create_data_attribute,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.update_data_attribute: self._wrap_method(
-                self.update_data_attribute,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.delete_data_attribute: self._wrap_method(
-                self.delete_data_attribute,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.list_data_attributes: self._wrap_method(
-                self.list_data_attributes,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.get_data_attribute: self._wrap_method(
-                self.get_data_attribute,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.get_location: self._wrap_method(
-                self.get_location,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.list_locations: self._wrap_method(
-                self.list_locations,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.cancel_operation: self._wrap_method(
-                self.cancel_operation,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.delete_operation: self._wrap_method(
-                self.delete_operation,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.get_operation: self._wrap_method(
-                self.get_operation,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.list_operations: self._wrap_method(
-                self.list_operations,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-        }
-
-    def _wrap_method(self, func, *args, **kwargs):
-        if self._wrap_with_kind:  # pragma: NO COVER
-            kwargs["kind"] = self.kind
-        return gapic_v1.method_async.wrap_method(func, *args, **kwargs)
-
-    def close(self):
-        return self.grpc_channel.close()
-
-    @property
-    def kind(self) -> str:
-        return "grpc_asyncio"
-
-    @property
-    def delete_operation(
-        self,
-    ) -> Callable[[operations_pb2.DeleteOperationRequest], None]:
-        r"""Return a callable for the delete_operation method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "delete_operation" not in self._stubs:
-            self._stubs["delete_operation"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/DeleteOperation",
-                request_serializer=operations_pb2.DeleteOperationRequest.SerializeToString,
-                response_deserializer=None,
-            )
-        return self._stubs["delete_operation"]
-
-    @property
-    def cancel_operation(
-        self,
-    ) -> Callable[[operations_pb2.CancelOperationRequest], None]:
-        r"""Return a callable for the cancel_operation method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "cancel_operation" not in self._stubs:
-            self._stubs["cancel_operation"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/CancelOperation",
-                request_serializer=operations_pb2.CancelOperationRequest.SerializeToString,
-                response_deserializer=None,
-            )
-        return self._stubs["cancel_operation"]
-
-    @property
-    def get_operation(
-        self,
-    ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]:
-        r"""Return a callable for the get_operation method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "get_operation" not in self._stubs:
-            self._stubs["get_operation"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/GetOperation",
-                request_serializer=operations_pb2.GetOperationRequest.SerializeToString,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs["get_operation"]
-
-    @property
-    def list_operations(
-        self,
-    ) -> Callable[[operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse]:
-        r"""Return a callable for the list_operations method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "list_operations" not in self._stubs:
-            self._stubs["list_operations"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/ListOperations",
-                request_serializer=operations_pb2.ListOperationsRequest.SerializeToString,
-                response_deserializer=operations_pb2.ListOperationsResponse.FromString,
-            )
-        return self._stubs["list_operations"]
-
-    @property
-    def list_locations(
-        self,
-    ) -> Callable[[locations_pb2.ListLocationsRequest], locations_pb2.ListLocationsResponse]:
-        r"""Return a callable for the list locations method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "list_locations" not in self._stubs:
-            self._stubs["list_locations"] = self.grpc_channel.unary_unary(
-                "/google.cloud.location.Locations/ListLocations",
-                request_serializer=locations_pb2.ListLocationsRequest.SerializeToString,
-                response_deserializer=locations_pb2.ListLocationsResponse.FromString,
-            )
-        return self._stubs["list_locations"]
-
-    @property
-    def get_location(
-        self,
-    ) -> Callable[[locations_pb2.GetLocationRequest], locations_pb2.Location]:
-        r"""Return a callable for the list locations method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "get_location" not in self._stubs:
-            self._stubs["get_location"] = self.grpc_channel.unary_unary(
-                "/google.cloud.location.Locations/GetLocation",
-                request_serializer=locations_pb2.GetLocationRequest.SerializeToString,
-                response_deserializer=locations_pb2.Location.FromString,
-            )
-        return self._stubs["get_location"]
-
-
-__all__ = (
-    'DataTaxonomyServiceGrpcAsyncIOTransport',
-)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/dataplex_service/__init__.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/dataplex_service/__init__.py
deleted file mode 100644
index 26191ecad898..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/dataplex_service/__init__.py
+++ /dev/null
@@ -1,22 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from .client import DataplexServiceClient
-from .async_client import DataplexServiceAsyncClient
-
-__all__ = (
-    'DataplexServiceClient',
-    'DataplexServiceAsyncClient',
-)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/dataplex_service/async_client.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/dataplex_service/async_client.py
deleted file mode 100644
index bcfddabeab46..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/dataplex_service/async_client.py
+++ /dev/null
@@ -1,4580 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from collections import OrderedDict
-import re
-from typing import Dict, Callable, Mapping, MutableMapping, MutableSequence, Optional, Sequence, Tuple, Type, Union
-
-from google.cloud.dataplex_v1 import gapic_version as package_version
-
-from google.api_core.client_options import ClientOptions
-from google.api_core import exceptions as core_exceptions
-from google.api_core import gapic_v1
-from google.api_core import retry_async as retries
-from google.auth import credentials as ga_credentials   # type: ignore
-from google.oauth2 import service_account              # type: ignore
-
-
-try:
-    OptionalRetry = Union[retries.AsyncRetry, gapic_v1.method._MethodDefault, None]
-except AttributeError:  # pragma: NO COVER
-    OptionalRetry = Union[retries.AsyncRetry, object, None]  # type: ignore
-
-from google.api_core import operation  # type: ignore
-from google.api_core import operation_async  # type: ignore
-from google.cloud.dataplex_v1.services.dataplex_service import pagers
-from google.cloud.dataplex_v1.types import analyze
-from google.cloud.dataplex_v1.types import resources
-from google.cloud.dataplex_v1.types import service
-from google.cloud.dataplex_v1.types import tasks
-from google.cloud.location import locations_pb2 # type: ignore
-from google.iam.v1 import iam_policy_pb2  # type: ignore
-from google.iam.v1 import policy_pb2  # type: ignore
-from google.longrunning import operations_pb2 # type: ignore
-from google.protobuf import empty_pb2  # type: ignore
-from google.protobuf import field_mask_pb2  # type: ignore
-from google.protobuf import timestamp_pb2  # type: ignore
-from .transports.base import DataplexServiceTransport, DEFAULT_CLIENT_INFO
-from .transports.grpc_asyncio import DataplexServiceGrpcAsyncIOTransport
-from .client import DataplexServiceClient
-
-
-class DataplexServiceAsyncClient:
-    """Dataplex service provides data lakes as a service. The
-    primary resources offered by this service are Lakes, Zones and
-    Assets which collectively allow a data administrator to
-    organize, manage, secure and catalog data across their
-    organization located across cloud projects in a variety of
-    storage systems including Cloud Storage and BigQuery.
-    """
-
-    _client: DataplexServiceClient
-
-    # Copy defaults from the synchronous client for use here.
-    # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead.
-    DEFAULT_ENDPOINT = DataplexServiceClient.DEFAULT_ENDPOINT
-    DEFAULT_MTLS_ENDPOINT = DataplexServiceClient.DEFAULT_MTLS_ENDPOINT
-    _DEFAULT_ENDPOINT_TEMPLATE = DataplexServiceClient._DEFAULT_ENDPOINT_TEMPLATE
-    _DEFAULT_UNIVERSE = DataplexServiceClient._DEFAULT_UNIVERSE
-
-    action_path = staticmethod(DataplexServiceClient.action_path)
-    parse_action_path = staticmethod(DataplexServiceClient.parse_action_path)
-    asset_path = staticmethod(DataplexServiceClient.asset_path)
-    parse_asset_path = staticmethod(DataplexServiceClient.parse_asset_path)
-    environment_path = staticmethod(DataplexServiceClient.environment_path)
-    parse_environment_path = staticmethod(DataplexServiceClient.parse_environment_path)
-    job_path = staticmethod(DataplexServiceClient.job_path)
-    parse_job_path = staticmethod(DataplexServiceClient.parse_job_path)
-    lake_path = staticmethod(DataplexServiceClient.lake_path)
-    parse_lake_path = staticmethod(DataplexServiceClient.parse_lake_path)
-    session_path = staticmethod(DataplexServiceClient.session_path)
-    parse_session_path = staticmethod(DataplexServiceClient.parse_session_path)
-    task_path = staticmethod(DataplexServiceClient.task_path)
-    parse_task_path = staticmethod(DataplexServiceClient.parse_task_path)
-    zone_path = staticmethod(DataplexServiceClient.zone_path)
-    parse_zone_path = staticmethod(DataplexServiceClient.parse_zone_path)
-    common_billing_account_path = staticmethod(DataplexServiceClient.common_billing_account_path)
-    parse_common_billing_account_path = staticmethod(DataplexServiceClient.parse_common_billing_account_path)
-    common_folder_path = staticmethod(DataplexServiceClient.common_folder_path)
-    parse_common_folder_path = staticmethod(DataplexServiceClient.parse_common_folder_path)
-    common_organization_path = staticmethod(DataplexServiceClient.common_organization_path)
-    parse_common_organization_path = staticmethod(DataplexServiceClient.parse_common_organization_path)
-    common_project_path = staticmethod(DataplexServiceClient.common_project_path)
-    parse_common_project_path = staticmethod(DataplexServiceClient.parse_common_project_path)
-    common_location_path = staticmethod(DataplexServiceClient.common_location_path)
-    parse_common_location_path = staticmethod(DataplexServiceClient.parse_common_location_path)
-
-    @classmethod
-    def from_service_account_info(cls, info: dict, *args, **kwargs):
-        """Creates an instance of this client using the provided credentials
-            info.
-
-        Args:
-            info (dict): The service account private key info.
-            args: Additional arguments to pass to the constructor.
-            kwargs: Additional arguments to pass to the constructor.
-
-        Returns:
-            DataplexServiceAsyncClient: The constructed client.
-        """
-        return DataplexServiceClient.from_service_account_info.__func__(DataplexServiceAsyncClient, info, *args, **kwargs)  # type: ignore
-
-    @classmethod
-    def from_service_account_file(cls, filename: str, *args, **kwargs):
-        """Creates an instance of this client using the provided credentials
-            file.
-
-        Args:
-            filename (str): The path to the service account private key json
-                file.
-            args: Additional arguments to pass to the constructor.
-            kwargs: Additional arguments to pass to the constructor.
-
-        Returns:
-            DataplexServiceAsyncClient: The constructed client.
-        """
-        return DataplexServiceClient.from_service_account_file.__func__(DataplexServiceAsyncClient, filename, *args, **kwargs)  # type: ignore
-
-    from_service_account_json = from_service_account_file
-
-    @classmethod
-    def get_mtls_endpoint_and_cert_source(cls, client_options: Optional[ClientOptions] = None):
-        """Return the API endpoint and client cert source for mutual TLS.
-
-        The client cert source is determined in the following order:
-        (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the
-        client cert source is None.
-        (2) if `client_options.client_cert_source` is provided, use the provided one; if the
-        default client cert source exists, use the default one; otherwise the client cert
-        source is None.
-
-        The API endpoint is determined in the following order:
-        (1) if `client_options.api_endpoint` if provided, use the provided one.
-        (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the
-        default mTLS endpoint; if the environment variable is "never", use the default API
-        endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise
-        use the default API endpoint.
-
-        More details can be found at https://google.aip.dev/auth/4114.
-
-        Args:
-            client_options (google.api_core.client_options.ClientOptions): Custom options for the
-                client. Only the `api_endpoint` and `client_cert_source` properties may be used
-                in this method.
-
-        Returns:
-            Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the
-                client cert source to use.
-
-        Raises:
-            google.auth.exceptions.MutualTLSChannelError: If any errors happen.
-        """
-        return DataplexServiceClient.get_mtls_endpoint_and_cert_source(client_options)  # type: ignore
-
-    @property
-    def transport(self) -> DataplexServiceTransport:
-        """Returns the transport used by the client instance.
-
-        Returns:
-            DataplexServiceTransport: The transport used by the client instance.
-        """
-        return self._client.transport
-
-    @property
-    def api_endpoint(self):
-        """Return the API endpoint used by the client instance.
-
-        Returns:
-            str: The API endpoint used by the client instance.
-        """
-        return self._client._api_endpoint
-
-    @property
-    def universe_domain(self) -> str:
-        """Return the universe domain used by the client instance.
-
-        Returns:
-            str: The universe domain used
-                by the client instance.
-        """
-        return self._client._universe_domain
-
-    get_transport_class = DataplexServiceClient.get_transport_class
-
-    def __init__(self, *,
-            credentials: Optional[ga_credentials.Credentials] = None,
-            transport: Optional[Union[str, DataplexServiceTransport, Callable[..., DataplexServiceTransport]]] = "grpc_asyncio",
-            client_options: Optional[ClientOptions] = None,
-            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-            ) -> None:
-        """Instantiates the dataplex service async client.
-
-        Args:
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-            transport (Optional[Union[str,DataplexServiceTransport,Callable[..., DataplexServiceTransport]]]):
-                The transport to use, or a Callable that constructs and returns a new transport to use.
-                If a Callable is given, it will be called with the same set of initialization
-                arguments as used in the DataplexServiceTransport constructor.
-                If set to None, a transport is chosen automatically.
-            client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]):
-                Custom options for the client.
-
-                1. The ``api_endpoint`` property can be used to override the
-                default endpoint provided by the client when ``transport`` is
-                not explicitly provided. Only if this property is not set and
-                ``transport`` was not explicitly provided, the endpoint is
-                determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment
-                variable, which have one of the following values:
-                "always" (always use the default mTLS endpoint), "never" (always
-                use the default regular endpoint) and "auto" (auto-switch to the
-                default mTLS endpoint if client certificate is present; this is
-                the default value).
-
-                2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable
-                is "true", then the ``client_cert_source`` property can be used
-                to provide a client certificate for mTLS transport. If
-                not provided, the default SSL client certificate will be used if
-                present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not
-                set, no client certificate will be used.
-
-                3. The ``universe_domain`` property can be used to override the
-                default "googleapis.com" universe. Note that ``api_endpoint``
-                property still takes precedence; and ``universe_domain`` is
-                currently not supported for mTLS.
-
-            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
-                The client info used to send a user-agent string along with
-                API requests. If ``None``, then default info will be used.
-                Generally, you only need to set this if you're developing
-                your own client library.
-
-        Raises:
-            google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport
-                creation failed for any reason.
-        """
-        self._client = DataplexServiceClient(
-            credentials=credentials,
-            transport=transport,
-            client_options=client_options,
-            client_info=client_info,
-
-        )
-
-    async def create_lake(self,
-            request: Optional[Union[service.CreateLakeRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            lake: Optional[resources.Lake] = None,
-            lake_id: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation_async.AsyncOperation:
-        r"""Creates a lake resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_create_lake():
-                # Create a client
-                client = dataplex_v1.DataplexServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.CreateLakeRequest(
-                    parent="parent_value",
-                    lake_id="lake_id_value",
-                )
-
-                # Make the request
-                operation = client.create_lake(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = (await operation).result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.CreateLakeRequest, dict]]):
-                The request object. Create lake request.
-            parent (:class:`str`):
-                Required. The resource name of the lake location, of the
-                form: projects/{project_number}/locations/{location_id}
-                where ``location_id`` refers to a GCP region.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            lake (:class:`google.cloud.dataplex_v1.types.Lake`):
-                Required. Lake resource
-                This corresponds to the ``lake`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            lake_id (:class:`str`):
-                Required. Lake identifier. This ID will be used to
-                generate names such as database and dataset names when
-                publishing metadata to Hive Metastore and BigQuery.
-
-                -  Must contain only lowercase letters, numbers and
-                   hyphens.
-                -  Must start with a letter.
-                -  Must end with a number or a letter.
-                -  Must be between 1-63 characters.
-                -  Must be unique within the customer project /
-                   location.
-
-                This corresponds to the ``lake_id`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation_async.AsyncOperation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.Lake` A lake is a centralized repository for managing enterprise data across the
-                   organization distributed across many cloud projects,
-                   and stored in a variety of storage services such as
-                   Google Cloud Storage and BigQuery. The resources
-                   attached to a lake are referred to as managed
-                   resources. Data within these managed resources can be
-                   structured or unstructured. A lake provides data
-                   admins with tools to organize, secure and manage
-                   their data at scale, and provides data scientists and
-                   data engineers an integrated experience to easily
-                   search, discover, analyze and transform data and
-                   associated metadata.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent, lake, lake_id])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.CreateLakeRequest):
-            request = service.CreateLakeRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if parent is not None:
-            request.parent = parent
-        if lake is not None:
-            request.lake = lake
-        if lake_id is not None:
-            request.lake_id = lake_id
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.create_lake]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation_async.from_gapic(
-            response,
-            self._client._transport.operations_client,
-            resources.Lake,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def update_lake(self,
-            request: Optional[Union[service.UpdateLakeRequest, dict]] = None,
-            *,
-            lake: Optional[resources.Lake] = None,
-            update_mask: Optional[field_mask_pb2.FieldMask] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation_async.AsyncOperation:
-        r"""Updates a lake resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_update_lake():
-                # Create a client
-                client = dataplex_v1.DataplexServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.UpdateLakeRequest(
-                )
-
-                # Make the request
-                operation = client.update_lake(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = (await operation).result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.UpdateLakeRequest, dict]]):
-                The request object. Update lake request.
-            lake (:class:`google.cloud.dataplex_v1.types.Lake`):
-                Required. Update description. Only fields specified in
-                ``update_mask`` are updated.
-
-                This corresponds to the ``lake`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`):
-                Required. Mask of fields to update.
-                This corresponds to the ``update_mask`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation_async.AsyncOperation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.Lake` A lake is a centralized repository for managing enterprise data across the
-                   organization distributed across many cloud projects,
-                   and stored in a variety of storage services such as
-                   Google Cloud Storage and BigQuery. The resources
-                   attached to a lake are referred to as managed
-                   resources. Data within these managed resources can be
-                   structured or unstructured. A lake provides data
-                   admins with tools to organize, secure and manage
-                   their data at scale, and provides data scientists and
-                   data engineers an integrated experience to easily
-                   search, discover, analyze and transform data and
-                   associated metadata.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([lake, update_mask])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.UpdateLakeRequest):
-            request = service.UpdateLakeRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if lake is not None:
-            request.lake = lake
-        if update_mask is not None:
-            request.update_mask = update_mask
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.update_lake]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("lake.name", request.lake.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation_async.from_gapic(
-            response,
-            self._client._transport.operations_client,
-            resources.Lake,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def delete_lake(self,
-            request: Optional[Union[service.DeleteLakeRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation_async.AsyncOperation:
-        r"""Deletes a lake resource. All zones within the lake
-        must be deleted before the lake can be deleted.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_delete_lake():
-                # Create a client
-                client = dataplex_v1.DataplexServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.DeleteLakeRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                operation = client.delete_lake(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = (await operation).result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.DeleteLakeRequest, dict]]):
-                The request object. Delete lake request.
-            name (:class:`str`):
-                Required. The resource name of the lake:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}``.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation_async.AsyncOperation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
-                   empty messages in your APIs. A typical example is to
-                   use it as the request or the response type of an API
-                   method. For instance:
-
-                      service Foo {
-                         rpc Bar(google.protobuf.Empty) returns
-                         (google.protobuf.Empty);
-
-                      }
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.DeleteLakeRequest):
-            request = service.DeleteLakeRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.delete_lake]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation_async.from_gapic(
-            response,
-            self._client._transport.operations_client,
-            empty_pb2.Empty,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def list_lakes(self,
-            request: Optional[Union[service.ListLakesRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> pagers.ListLakesAsyncPager:
-        r"""Lists lake resources in a project and location.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_list_lakes():
-                # Create a client
-                client = dataplex_v1.DataplexServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.ListLakesRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_lakes(request=request)
-
-                # Handle the response
-                async for response in page_result:
-                    print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.ListLakesRequest, dict]]):
-                The request object. List lakes request.
-            parent (:class:`str`):
-                Required. The resource name of the lake location, of the
-                form:
-                ``projects/{project_number}/locations/{location_id}``
-                where ``location_id`` refers to a GCP region.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.services.dataplex_service.pagers.ListLakesAsyncPager:
-                List lakes response.
-
-                Iterating over this object will yield
-                results and resolve additional pages
-                automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.ListLakesRequest):
-            request = service.ListLakesRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if parent is not None:
-            request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.list_lakes]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__aiter__` convenience method.
-        response = pagers.ListLakesAsyncPager(
-            method=rpc,
-            request=request,
-            response=response,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def get_lake(self,
-            request: Optional[Union[service.GetLakeRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> resources.Lake:
-        r"""Retrieves a lake resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_get_lake():
-                # Create a client
-                client = dataplex_v1.DataplexServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.GetLakeRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = await client.get_lake(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.GetLakeRequest, dict]]):
-                The request object. Get lake request.
-            name (:class:`str`):
-                Required. The resource name of the lake:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}``.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.Lake:
-                A lake is a centralized repository
-                for managing enterprise data across the
-                organization distributed across many
-                cloud projects, and stored in a variety
-                of storage services such as Google Cloud
-                Storage and BigQuery. The resources
-                attached to a lake are referred to as
-                managed resources. Data within these
-                managed resources can be structured or
-                unstructured. A lake provides data
-                admins with tools to organize, secure
-                and manage their data at scale, and
-                provides data scientists and data
-                engineers an integrated experience to
-                easily search, discover, analyze and
-                transform data and associated metadata.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.GetLakeRequest):
-            request = service.GetLakeRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.get_lake]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def list_lake_actions(self,
-            request: Optional[Union[service.ListLakeActionsRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> pagers.ListLakeActionsAsyncPager:
-        r"""Lists action resources in a lake.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_list_lake_actions():
-                # Create a client
-                client = dataplex_v1.DataplexServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.ListLakeActionsRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_lake_actions(request=request)
-
-                # Handle the response
-                async for response in page_result:
-                    print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.ListLakeActionsRequest, dict]]):
-                The request object. List lake actions request.
-            parent (:class:`str`):
-                Required. The resource name of the parent lake:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}``.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.services.dataplex_service.pagers.ListLakeActionsAsyncPager:
-                List actions response.
-
-                Iterating over this object will yield
-                results and resolve additional pages
-                automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.ListLakeActionsRequest):
-            request = service.ListLakeActionsRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if parent is not None:
-            request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.list_lake_actions]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__aiter__` convenience method.
-        response = pagers.ListLakeActionsAsyncPager(
-            method=rpc,
-            request=request,
-            response=response,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def create_zone(self,
-            request: Optional[Union[service.CreateZoneRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            zone: Optional[resources.Zone] = None,
-            zone_id: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation_async.AsyncOperation:
-        r"""Creates a zone resource within a lake.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_create_zone():
-                # Create a client
-                client = dataplex_v1.DataplexServiceAsyncClient()
-
-                # Initialize request argument(s)
-                zone = dataplex_v1.Zone()
-                zone.type_ = "CURATED"
-                zone.resource_spec.location_type = "MULTI_REGION"
-
-                request = dataplex_v1.CreateZoneRequest(
-                    parent="parent_value",
-                    zone_id="zone_id_value",
-                    zone=zone,
-                )
-
-                # Make the request
-                operation = client.create_zone(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = (await operation).result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.CreateZoneRequest, dict]]):
-                The request object. Create zone request.
-            parent (:class:`str`):
-                Required. The resource name of the parent lake:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}``.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            zone (:class:`google.cloud.dataplex_v1.types.Zone`):
-                Required. Zone resource.
-                This corresponds to the ``zone`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            zone_id (:class:`str`):
-                Required. Zone identifier. This ID will be used to
-                generate names such as database and dataset names when
-                publishing metadata to Hive Metastore and BigQuery.
-
-                -  Must contain only lowercase letters, numbers and
-                   hyphens.
-                -  Must start with a letter.
-                -  Must end with a number or a letter.
-                -  Must be between 1-63 characters.
-                -  Must be unique across all lakes from all locations in
-                   a project.
-                -  Must not be one of the reserved IDs (i.e. "default",
-                   "global-temp")
-
-                This corresponds to the ``zone_id`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation_async.AsyncOperation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.Zone` A zone represents a logical group of related assets within a lake. A zone can
-                   be used to map to organizational structure or
-                   represent stages of data readiness from raw to
-                   curated. It provides managing behavior that is shared
-                   or inherited by all contained assets.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent, zone, zone_id])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.CreateZoneRequest):
-            request = service.CreateZoneRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if parent is not None:
-            request.parent = parent
-        if zone is not None:
-            request.zone = zone
-        if zone_id is not None:
-            request.zone_id = zone_id
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.create_zone]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation_async.from_gapic(
-            response,
-            self._client._transport.operations_client,
-            resources.Zone,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def update_zone(self,
-            request: Optional[Union[service.UpdateZoneRequest, dict]] = None,
-            *,
-            zone: Optional[resources.Zone] = None,
-            update_mask: Optional[field_mask_pb2.FieldMask] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation_async.AsyncOperation:
-        r"""Updates a zone resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_update_zone():
-                # Create a client
-                client = dataplex_v1.DataplexServiceAsyncClient()
-
-                # Initialize request argument(s)
-                zone = dataplex_v1.Zone()
-                zone.type_ = "CURATED"
-                zone.resource_spec.location_type = "MULTI_REGION"
-
-                request = dataplex_v1.UpdateZoneRequest(
-                    zone=zone,
-                )
-
-                # Make the request
-                operation = client.update_zone(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = (await operation).result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.UpdateZoneRequest, dict]]):
-                The request object. Update zone request.
-            zone (:class:`google.cloud.dataplex_v1.types.Zone`):
-                Required. Update description. Only fields specified in
-                ``update_mask`` are updated.
-
-                This corresponds to the ``zone`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`):
-                Required. Mask of fields to update.
-                This corresponds to the ``update_mask`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation_async.AsyncOperation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.Zone` A zone represents a logical group of related assets within a lake. A zone can
-                   be used to map to organizational structure or
-                   represent stages of data readiness from raw to
-                   curated. It provides managing behavior that is shared
-                   or inherited by all contained assets.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([zone, update_mask])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.UpdateZoneRequest):
-            request = service.UpdateZoneRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if zone is not None:
-            request.zone = zone
-        if update_mask is not None:
-            request.update_mask = update_mask
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.update_zone]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("zone.name", request.zone.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation_async.from_gapic(
-            response,
-            self._client._transport.operations_client,
-            resources.Zone,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def delete_zone(self,
-            request: Optional[Union[service.DeleteZoneRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation_async.AsyncOperation:
-        r"""Deletes a zone resource. All assets within a zone
-        must be deleted before the zone can be deleted.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_delete_zone():
-                # Create a client
-                client = dataplex_v1.DataplexServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.DeleteZoneRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                operation = client.delete_zone(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = (await operation).result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.DeleteZoneRequest, dict]]):
-                The request object. Delete zone request.
-            name (:class:`str`):
-                Required. The resource name of the zone:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}``.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation_async.AsyncOperation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
-                   empty messages in your APIs. A typical example is to
-                   use it as the request or the response type of an API
-                   method. For instance:
-
-                      service Foo {
-                         rpc Bar(google.protobuf.Empty) returns
-                         (google.protobuf.Empty);
-
-                      }
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.DeleteZoneRequest):
-            request = service.DeleteZoneRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.delete_zone]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation_async.from_gapic(
-            response,
-            self._client._transport.operations_client,
-            empty_pb2.Empty,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def list_zones(self,
-            request: Optional[Union[service.ListZonesRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> pagers.ListZonesAsyncPager:
-        r"""Lists zone resources in a lake.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_list_zones():
-                # Create a client
-                client = dataplex_v1.DataplexServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.ListZonesRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_zones(request=request)
-
-                # Handle the response
-                async for response in page_result:
-                    print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.ListZonesRequest, dict]]):
-                The request object. List zones request.
-            parent (:class:`str`):
-                Required. The resource name of the parent lake:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}``.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.services.dataplex_service.pagers.ListZonesAsyncPager:
-                List zones response.
-
-                Iterating over this object will yield
-                results and resolve additional pages
-                automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.ListZonesRequest):
-            request = service.ListZonesRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if parent is not None:
-            request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.list_zones]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__aiter__` convenience method.
-        response = pagers.ListZonesAsyncPager(
-            method=rpc,
-            request=request,
-            response=response,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def get_zone(self,
-            request: Optional[Union[service.GetZoneRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> resources.Zone:
-        r"""Retrieves a zone resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_get_zone():
-                # Create a client
-                client = dataplex_v1.DataplexServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.GetZoneRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = await client.get_zone(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.GetZoneRequest, dict]]):
-                The request object. Get zone request.
-            name (:class:`str`):
-                Required. The resource name of the zone:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}``.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.Zone:
-                A zone represents a logical group of
-                related assets within a lake. A zone can
-                be used to map to organizational
-                structure or represent stages of data
-                readiness from raw to curated. It
-                provides managing behavior that is
-                shared or inherited by all contained
-                assets.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.GetZoneRequest):
-            request = service.GetZoneRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.get_zone]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def list_zone_actions(self,
-            request: Optional[Union[service.ListZoneActionsRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> pagers.ListZoneActionsAsyncPager:
-        r"""Lists action resources in a zone.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_list_zone_actions():
-                # Create a client
-                client = dataplex_v1.DataplexServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.ListZoneActionsRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_zone_actions(request=request)
-
-                # Handle the response
-                async for response in page_result:
-                    print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.ListZoneActionsRequest, dict]]):
-                The request object. List zone actions request.
-            parent (:class:`str`):
-                Required. The resource name of the parent zone:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}``.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.services.dataplex_service.pagers.ListZoneActionsAsyncPager:
-                List actions response.
-
-                Iterating over this object will yield
-                results and resolve additional pages
-                automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.ListZoneActionsRequest):
-            request = service.ListZoneActionsRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if parent is not None:
-            request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.list_zone_actions]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__aiter__` convenience method.
-        response = pagers.ListZoneActionsAsyncPager(
-            method=rpc,
-            request=request,
-            response=response,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def create_asset(self,
-            request: Optional[Union[service.CreateAssetRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            asset: Optional[resources.Asset] = None,
-            asset_id: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation_async.AsyncOperation:
-        r"""Creates an asset resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_create_asset():
-                # Create a client
-                client = dataplex_v1.DataplexServiceAsyncClient()
-
-                # Initialize request argument(s)
-                asset = dataplex_v1.Asset()
-                asset.resource_spec.type_ = "BIGQUERY_DATASET"
-
-                request = dataplex_v1.CreateAssetRequest(
-                    parent="parent_value",
-                    asset_id="asset_id_value",
-                    asset=asset,
-                )
-
-                # Make the request
-                operation = client.create_asset(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = (await operation).result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.CreateAssetRequest, dict]]):
-                The request object. Create asset request.
-            parent (:class:`str`):
-                Required. The resource name of the parent zone:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}``.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            asset (:class:`google.cloud.dataplex_v1.types.Asset`):
-                Required. Asset resource.
-                This corresponds to the ``asset`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            asset_id (:class:`str`):
-                Required. Asset identifier. This ID will be used to
-                generate names such as table names when publishing
-                metadata to Hive Metastore and BigQuery.
-
-                -  Must contain only lowercase letters, numbers and
-                   hyphens.
-                -  Must start with a letter.
-                -  Must end with a number or a letter.
-                -  Must be between 1-63 characters.
-                -  Must be unique within the zone.
-
-                This corresponds to the ``asset_id`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation_async.AsyncOperation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.Asset` An asset represents a cloud resource that is being managed within a lake as a
-                   member of a zone.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent, asset, asset_id])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.CreateAssetRequest):
-            request = service.CreateAssetRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if parent is not None:
-            request.parent = parent
-        if asset is not None:
-            request.asset = asset
-        if asset_id is not None:
-            request.asset_id = asset_id
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.create_asset]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation_async.from_gapic(
-            response,
-            self._client._transport.operations_client,
-            resources.Asset,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def update_asset(self,
-            request: Optional[Union[service.UpdateAssetRequest, dict]] = None,
-            *,
-            asset: Optional[resources.Asset] = None,
-            update_mask: Optional[field_mask_pb2.FieldMask] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation_async.AsyncOperation:
-        r"""Updates an asset resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_update_asset():
-                # Create a client
-                client = dataplex_v1.DataplexServiceAsyncClient()
-
-                # Initialize request argument(s)
-                asset = dataplex_v1.Asset()
-                asset.resource_spec.type_ = "BIGQUERY_DATASET"
-
-                request = dataplex_v1.UpdateAssetRequest(
-                    asset=asset,
-                )
-
-                # Make the request
-                operation = client.update_asset(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = (await operation).result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.UpdateAssetRequest, dict]]):
-                The request object. Update asset request.
-            asset (:class:`google.cloud.dataplex_v1.types.Asset`):
-                Required. Update description. Only fields specified in
-                ``update_mask`` are updated.
-
-                This corresponds to the ``asset`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`):
-                Required. Mask of fields to update.
-                This corresponds to the ``update_mask`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation_async.AsyncOperation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.Asset` An asset represents a cloud resource that is being managed within a lake as a
-                   member of a zone.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([asset, update_mask])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.UpdateAssetRequest):
-            request = service.UpdateAssetRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if asset is not None:
-            request.asset = asset
-        if update_mask is not None:
-            request.update_mask = update_mask
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.update_asset]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("asset.name", request.asset.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation_async.from_gapic(
-            response,
-            self._client._transport.operations_client,
-            resources.Asset,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def delete_asset(self,
-            request: Optional[Union[service.DeleteAssetRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation_async.AsyncOperation:
-        r"""Deletes an asset resource. The referenced storage
-        resource is detached (default) or deleted based on the
-        associated Lifecycle policy.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_delete_asset():
-                # Create a client
-                client = dataplex_v1.DataplexServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.DeleteAssetRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                operation = client.delete_asset(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = (await operation).result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.DeleteAssetRequest, dict]]):
-                The request object. Delete asset request.
-            name (:class:`str`):
-                Required. The resource name of the asset:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/assets/{asset_id}``.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation_async.AsyncOperation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
-                   empty messages in your APIs. A typical example is to
-                   use it as the request or the response type of an API
-                   method. For instance:
-
-                      service Foo {
-                         rpc Bar(google.protobuf.Empty) returns
-                         (google.protobuf.Empty);
-
-                      }
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.DeleteAssetRequest):
-            request = service.DeleteAssetRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.delete_asset]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation_async.from_gapic(
-            response,
-            self._client._transport.operations_client,
-            empty_pb2.Empty,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def list_assets(self,
-            request: Optional[Union[service.ListAssetsRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> pagers.ListAssetsAsyncPager:
-        r"""Lists asset resources in a zone.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_list_assets():
-                # Create a client
-                client = dataplex_v1.DataplexServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.ListAssetsRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_assets(request=request)
-
-                # Handle the response
-                async for response in page_result:
-                    print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.ListAssetsRequest, dict]]):
-                The request object. List assets request.
-            parent (:class:`str`):
-                Required. The resource name of the parent zone:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}``.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.services.dataplex_service.pagers.ListAssetsAsyncPager:
-                List assets response.
-
-                Iterating over this object will yield
-                results and resolve additional pages
-                automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.ListAssetsRequest):
-            request = service.ListAssetsRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if parent is not None:
-            request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.list_assets]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__aiter__` convenience method.
-        response = pagers.ListAssetsAsyncPager(
-            method=rpc,
-            request=request,
-            response=response,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def get_asset(self,
-            request: Optional[Union[service.GetAssetRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> resources.Asset:
-        r"""Retrieves an asset resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_get_asset():
-                # Create a client
-                client = dataplex_v1.DataplexServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.GetAssetRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = await client.get_asset(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.GetAssetRequest, dict]]):
-                The request object. Get asset request.
-            name (:class:`str`):
-                Required. The resource name of the asset:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/assets/{asset_id}``.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.Asset:
-                An asset represents a cloud resource
-                that is being managed within a lake as a
-                member of a zone.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.GetAssetRequest):
-            request = service.GetAssetRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.get_asset]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def list_asset_actions(self,
-            request: Optional[Union[service.ListAssetActionsRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> pagers.ListAssetActionsAsyncPager:
-        r"""Lists action resources in an asset.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_list_asset_actions():
-                # Create a client
-                client = dataplex_v1.DataplexServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.ListAssetActionsRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_asset_actions(request=request)
-
-                # Handle the response
-                async for response in page_result:
-                    print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.ListAssetActionsRequest, dict]]):
-                The request object. List asset actions request.
-            parent (:class:`str`):
-                Required. The resource name of the parent asset:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/assets/{asset_id}``.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.services.dataplex_service.pagers.ListAssetActionsAsyncPager:
-                List actions response.
-
-                Iterating over this object will yield
-                results and resolve additional pages
-                automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.ListAssetActionsRequest):
-            request = service.ListAssetActionsRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if parent is not None:
-            request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.list_asset_actions]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__aiter__` convenience method.
-        response = pagers.ListAssetActionsAsyncPager(
-            method=rpc,
-            request=request,
-            response=response,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def create_task(self,
-            request: Optional[Union[service.CreateTaskRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            task: Optional[tasks.Task] = None,
-            task_id: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation_async.AsyncOperation:
-        r"""Creates a task resource within a lake.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_create_task():
-                # Create a client
-                client = dataplex_v1.DataplexServiceAsyncClient()
-
-                # Initialize request argument(s)
-                task = dataplex_v1.Task()
-                task.spark.main_jar_file_uri = "main_jar_file_uri_value"
-                task.trigger_spec.schedule = "schedule_value"
-                task.trigger_spec.type_ = "RECURRING"
-                task.execution_spec.service_account = "service_account_value"
-
-                request = dataplex_v1.CreateTaskRequest(
-                    parent="parent_value",
-                    task_id="task_id_value",
-                    task=task,
-                )
-
-                # Make the request
-                operation = client.create_task(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = (await operation).result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.CreateTaskRequest, dict]]):
-                The request object. Create task request.
-            parent (:class:`str`):
-                Required. The resource name of the parent lake:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}``.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            task (:class:`google.cloud.dataplex_v1.types.Task`):
-                Required. Task resource.
-                This corresponds to the ``task`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            task_id (:class:`str`):
-                Required. Task identifier.
-                This corresponds to the ``task_id`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation_async.AsyncOperation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be
-                :class:`google.cloud.dataplex_v1.types.Task` A task
-                represents a user-visible job.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent, task, task_id])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.CreateTaskRequest):
-            request = service.CreateTaskRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if parent is not None:
-            request.parent = parent
-        if task is not None:
-            request.task = task
-        if task_id is not None:
-            request.task_id = task_id
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.create_task]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation_async.from_gapic(
-            response,
-            self._client._transport.operations_client,
-            tasks.Task,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def update_task(self,
-            request: Optional[Union[service.UpdateTaskRequest, dict]] = None,
-            *,
-            task: Optional[tasks.Task] = None,
-            update_mask: Optional[field_mask_pb2.FieldMask] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation_async.AsyncOperation:
-        r"""Update the task resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_update_task():
-                # Create a client
-                client = dataplex_v1.DataplexServiceAsyncClient()
-
-                # Initialize request argument(s)
-                task = dataplex_v1.Task()
-                task.spark.main_jar_file_uri = "main_jar_file_uri_value"
-                task.trigger_spec.schedule = "schedule_value"
-                task.trigger_spec.type_ = "RECURRING"
-                task.execution_spec.service_account = "service_account_value"
-
-                request = dataplex_v1.UpdateTaskRequest(
-                    task=task,
-                )
-
-                # Make the request
-                operation = client.update_task(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = (await operation).result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.UpdateTaskRequest, dict]]):
-                The request object. Update task request.
-            task (:class:`google.cloud.dataplex_v1.types.Task`):
-                Required. Update description. Only fields specified in
-                ``update_mask`` are updated.
-
-                This corresponds to the ``task`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`):
-                Required. Mask of fields to update.
-                This corresponds to the ``update_mask`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation_async.AsyncOperation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be
-                :class:`google.cloud.dataplex_v1.types.Task` A task
-                represents a user-visible job.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([task, update_mask])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.UpdateTaskRequest):
-            request = service.UpdateTaskRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if task is not None:
-            request.task = task
-        if update_mask is not None:
-            request.update_mask = update_mask
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.update_task]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("task.name", request.task.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation_async.from_gapic(
-            response,
-            self._client._transport.operations_client,
-            tasks.Task,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def delete_task(self,
-            request: Optional[Union[service.DeleteTaskRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation_async.AsyncOperation:
-        r"""Delete the task resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_delete_task():
-                # Create a client
-                client = dataplex_v1.DataplexServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.DeleteTaskRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                operation = client.delete_task(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = (await operation).result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.DeleteTaskRequest, dict]]):
-                The request object. Delete task request.
-            name (:class:`str`):
-                Required. The resource name of the task:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/task/{task_id}``.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation_async.AsyncOperation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
-                   empty messages in your APIs. A typical example is to
-                   use it as the request or the response type of an API
-                   method. For instance:
-
-                      service Foo {
-                         rpc Bar(google.protobuf.Empty) returns
-                         (google.protobuf.Empty);
-
-                      }
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.DeleteTaskRequest):
-            request = service.DeleteTaskRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.delete_task]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation_async.from_gapic(
-            response,
-            self._client._transport.operations_client,
-            empty_pb2.Empty,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def list_tasks(self,
-            request: Optional[Union[service.ListTasksRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> pagers.ListTasksAsyncPager:
-        r"""Lists tasks under the given lake.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_list_tasks():
-                # Create a client
-                client = dataplex_v1.DataplexServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.ListTasksRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_tasks(request=request)
-
-                # Handle the response
-                async for response in page_result:
-                    print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.ListTasksRequest, dict]]):
-                The request object. List tasks request.
-            parent (:class:`str`):
-                Required. The resource name of the parent lake:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}``.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.services.dataplex_service.pagers.ListTasksAsyncPager:
-                List tasks response.
-
-                Iterating over this object will yield
-                results and resolve additional pages
-                automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.ListTasksRequest):
-            request = service.ListTasksRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if parent is not None:
-            request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.list_tasks]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__aiter__` convenience method.
-        response = pagers.ListTasksAsyncPager(
-            method=rpc,
-            request=request,
-            response=response,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def get_task(self,
-            request: Optional[Union[service.GetTaskRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> tasks.Task:
-        r"""Get task resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_get_task():
-                # Create a client
-                client = dataplex_v1.DataplexServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.GetTaskRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = await client.get_task(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.GetTaskRequest, dict]]):
-                The request object. Get task request.
-            name (:class:`str`):
-                Required. The resource name of the task:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/tasks/{tasks_id}``.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.Task:
-                A task represents a user-visible job.
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.GetTaskRequest):
-            request = service.GetTaskRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.get_task]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def list_jobs(self,
-            request: Optional[Union[service.ListJobsRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> pagers.ListJobsAsyncPager:
-        r"""Lists Jobs under the given task.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_list_jobs():
-                # Create a client
-                client = dataplex_v1.DataplexServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.ListJobsRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_jobs(request=request)
-
-                # Handle the response
-                async for response in page_result:
-                    print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.ListJobsRequest, dict]]):
-                The request object. List jobs request.
-            parent (:class:`str`):
-                Required. The resource name of the parent environment:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/tasks/{task_id}``.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.services.dataplex_service.pagers.ListJobsAsyncPager:
-                List jobs response.
-
-                Iterating over this object will yield
-                results and resolve additional pages
-                automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.ListJobsRequest):
-            request = service.ListJobsRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if parent is not None:
-            request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.list_jobs]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__aiter__` convenience method.
-        response = pagers.ListJobsAsyncPager(
-            method=rpc,
-            request=request,
-            response=response,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def run_task(self,
-            request: Optional[Union[service.RunTaskRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> service.RunTaskResponse:
-        r"""Run an on demand execution of a Task.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_run_task():
-                # Create a client
-                client = dataplex_v1.DataplexServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.RunTaskRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = await client.run_task(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.RunTaskRequest, dict]]):
-                The request object.
-            name (:class:`str`):
-                Required. The resource name of the task:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/tasks/{task_id}``.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.RunTaskResponse:
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.RunTaskRequest):
-            request = service.RunTaskRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.run_task]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def get_job(self,
-            request: Optional[Union[service.GetJobRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> tasks.Job:
-        r"""Get job resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_get_job():
-                # Create a client
-                client = dataplex_v1.DataplexServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.GetJobRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = await client.get_job(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.GetJobRequest, dict]]):
-                The request object. Get job request.
-            name (:class:`str`):
-                Required. The resource name of the job:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/tasks/{task_id}/jobs/{job_id}``.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.Job:
-                A job represents an instance of a
-                task.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.GetJobRequest):
-            request = service.GetJobRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.get_job]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def cancel_job(self,
-            request: Optional[Union[service.CancelJobRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> None:
-        r"""Cancel jobs running for the task resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_cancel_job():
-                # Create a client
-                client = dataplex_v1.DataplexServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.CancelJobRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                await client.cancel_job(request=request)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.CancelJobRequest, dict]]):
-                The request object. Cancel task jobs.
-            name (:class:`str`):
-                Required. The resource name of the job:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/task/{task_id}/job/{job_id}``.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.CancelJobRequest):
-            request = service.CancelJobRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.cancel_job]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-    async def create_environment(self,
-            request: Optional[Union[service.CreateEnvironmentRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            environment: Optional[analyze.Environment] = None,
-            environment_id: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation_async.AsyncOperation:
-        r"""Create an environment resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_create_environment():
-                # Create a client
-                client = dataplex_v1.DataplexServiceAsyncClient()
-
-                # Initialize request argument(s)
-                environment = dataplex_v1.Environment()
-                environment.infrastructure_spec.os_image.image_version = "image_version_value"
-
-                request = dataplex_v1.CreateEnvironmentRequest(
-                    parent="parent_value",
-                    environment_id="environment_id_value",
-                    environment=environment,
-                )
-
-                # Make the request
-                operation = client.create_environment(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = (await operation).result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.CreateEnvironmentRequest, dict]]):
-                The request object. Create environment request.
-            parent (:class:`str`):
-                Required. The resource name of the parent lake:
-                ``projects/{project_id}/locations/{location_id}/lakes/{lake_id}``.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            environment (:class:`google.cloud.dataplex_v1.types.Environment`):
-                Required. Environment resource.
-                This corresponds to the ``environment`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            environment_id (:class:`str`):
-                Required. Environment identifier.
-
-                -  Must contain only lowercase letters, numbers and
-                   hyphens.
-                -  Must start with a letter.
-                -  Must be between 1-63 characters.
-                -  Must end with a number or a letter.
-                -  Must be unique within the lake.
-
-                This corresponds to the ``environment_id`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation_async.AsyncOperation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.Environment` Environment represents a user-visible compute infrastructure for analytics
-                   within a lake.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent, environment, environment_id])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.CreateEnvironmentRequest):
-            request = service.CreateEnvironmentRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if parent is not None:
-            request.parent = parent
-        if environment is not None:
-            request.environment = environment
-        if environment_id is not None:
-            request.environment_id = environment_id
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.create_environment]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation_async.from_gapic(
-            response,
-            self._client._transport.operations_client,
-            analyze.Environment,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def update_environment(self,
-            request: Optional[Union[service.UpdateEnvironmentRequest, dict]] = None,
-            *,
-            environment: Optional[analyze.Environment] = None,
-            update_mask: Optional[field_mask_pb2.FieldMask] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation_async.AsyncOperation:
-        r"""Update the environment resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_update_environment():
-                # Create a client
-                client = dataplex_v1.DataplexServiceAsyncClient()
-
-                # Initialize request argument(s)
-                environment = dataplex_v1.Environment()
-                environment.infrastructure_spec.os_image.image_version = "image_version_value"
-
-                request = dataplex_v1.UpdateEnvironmentRequest(
-                    environment=environment,
-                )
-
-                # Make the request
-                operation = client.update_environment(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = (await operation).result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.UpdateEnvironmentRequest, dict]]):
-                The request object. Update environment request.
-            environment (:class:`google.cloud.dataplex_v1.types.Environment`):
-                Required. Update description. Only fields specified in
-                ``update_mask`` are updated.
-
-                This corresponds to the ``environment`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`):
-                Required. Mask of fields to update.
-                This corresponds to the ``update_mask`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation_async.AsyncOperation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.Environment` Environment represents a user-visible compute infrastructure for analytics
-                   within a lake.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([environment, update_mask])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.UpdateEnvironmentRequest):
-            request = service.UpdateEnvironmentRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if environment is not None:
-            request.environment = environment
-        if update_mask is not None:
-            request.update_mask = update_mask
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.update_environment]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("environment.name", request.environment.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation_async.from_gapic(
-            response,
-            self._client._transport.operations_client,
-            analyze.Environment,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def delete_environment(self,
-            request: Optional[Union[service.DeleteEnvironmentRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation_async.AsyncOperation:
-        r"""Delete the environment resource. All the child
-        resources must have been deleted before environment
-        deletion can be initiated.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_delete_environment():
-                # Create a client
-                client = dataplex_v1.DataplexServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.DeleteEnvironmentRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                operation = client.delete_environment(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = (await operation).result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.DeleteEnvironmentRequest, dict]]):
-                The request object. Delete environment request.
-            name (:class:`str`):
-                Required. The resource name of the environment:
-                ``projects/{project_id}/locations/{location_id}/lakes/{lake_id}/environments/{environment_id}``.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation_async.AsyncOperation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
-                   empty messages in your APIs. A typical example is to
-                   use it as the request or the response type of an API
-                   method. For instance:
-
-                      service Foo {
-                         rpc Bar(google.protobuf.Empty) returns
-                         (google.protobuf.Empty);
-
-                      }
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.DeleteEnvironmentRequest):
-            request = service.DeleteEnvironmentRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.delete_environment]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation_async.from_gapic(
-            response,
-            self._client._transport.operations_client,
-            empty_pb2.Empty,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def list_environments(self,
-            request: Optional[Union[service.ListEnvironmentsRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> pagers.ListEnvironmentsAsyncPager:
-        r"""Lists environments under the given lake.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_list_environments():
-                # Create a client
-                client = dataplex_v1.DataplexServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.ListEnvironmentsRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_environments(request=request)
-
-                # Handle the response
-                async for response in page_result:
-                    print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.ListEnvironmentsRequest, dict]]):
-                The request object. List environments request.
-            parent (:class:`str`):
-                Required. The resource name of the parent lake:
-                ``projects/{project_id}/locations/{location_id}/lakes/{lake_id}``.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.services.dataplex_service.pagers.ListEnvironmentsAsyncPager:
-                List environments response.
-
-                Iterating over this object will yield
-                results and resolve additional pages
-                automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.ListEnvironmentsRequest):
-            request = service.ListEnvironmentsRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if parent is not None:
-            request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.list_environments]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__aiter__` convenience method.
-        response = pagers.ListEnvironmentsAsyncPager(
-            method=rpc,
-            request=request,
-            response=response,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def get_environment(self,
-            request: Optional[Union[service.GetEnvironmentRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> analyze.Environment:
-        r"""Get environment resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_get_environment():
-                # Create a client
-                client = dataplex_v1.DataplexServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.GetEnvironmentRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = await client.get_environment(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.GetEnvironmentRequest, dict]]):
-                The request object. Get environment request.
-            name (:class:`str`):
-                Required. The resource name of the environment:
-                ``projects/{project_id}/locations/{location_id}/lakes/{lake_id}/environments/{environment_id}``.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.Environment:
-                Environment represents a user-visible
-                compute infrastructure for analytics
-                within a lake.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.GetEnvironmentRequest):
-            request = service.GetEnvironmentRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.get_environment]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def list_sessions(self,
-            request: Optional[Union[service.ListSessionsRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> pagers.ListSessionsAsyncPager:
-        r"""Lists session resources in an environment.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_list_sessions():
-                # Create a client
-                client = dataplex_v1.DataplexServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.ListSessionsRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_sessions(request=request)
-
-                # Handle the response
-                async for response in page_result:
-                    print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.ListSessionsRequest, dict]]):
-                The request object. List sessions request.
-            parent (:class:`str`):
-                Required. The resource name of the parent environment:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/environment/{environment_id}``.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.services.dataplex_service.pagers.ListSessionsAsyncPager:
-                List sessions response.
-
-                Iterating over this object will yield
-                results and resolve additional pages
-                automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.ListSessionsRequest):
-            request = service.ListSessionsRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if parent is not None:
-            request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.list_sessions]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__aiter__` convenience method.
-        response = pagers.ListSessionsAsyncPager(
-            method=rpc,
-            request=request,
-            response=response,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def list_operations(
-        self,
-        request: Optional[operations_pb2.ListOperationsRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operations_pb2.ListOperationsResponse:
-        r"""Lists operations that match the specified filter in the request.
-
-        Args:
-            request (:class:`~.operations_pb2.ListOperationsRequest`):
-                The request object. Request message for
-                `ListOperations` method.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.operations_pb2.ListOperationsResponse:
-                Response message for ``ListOperations`` method.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.ListOperationsRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self.transport._wrapped_methods[self._client._transport.list_operations]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request, retry=retry, timeout=timeout, metadata=metadata,)
-
-        # Done; return the response.
-        return response
-
-    async def get_operation(
-        self,
-        request: Optional[operations_pb2.GetOperationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operations_pb2.Operation:
-        r"""Gets the latest state of a long-running operation.
-
-        Args:
-            request (:class:`~.operations_pb2.GetOperationRequest`):
-                The request object. Request message for
-                `GetOperation` method.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.operations_pb2.Operation:
-                An ``Operation`` object.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.GetOperationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self.transport._wrapped_methods[self._client._transport.get_operation]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request, retry=retry, timeout=timeout, metadata=metadata,)
-
-        # Done; return the response.
-        return response
-
-    async def delete_operation(
-        self,
-        request: Optional[operations_pb2.DeleteOperationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> None:
-        r"""Deletes a long-running operation.
-
-        This method indicates that the client is no longer interested
-        in the operation result. It does not cancel the operation.
-        If the server doesn't support this method, it returns
-        `google.rpc.Code.UNIMPLEMENTED`.
-
-        Args:
-            request (:class:`~.operations_pb2.DeleteOperationRequest`):
-                The request object. Request message for
-                `DeleteOperation` method.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            None
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.DeleteOperationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self.transport._wrapped_methods[self._client._transport.delete_operation]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        await rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
-
-    async def cancel_operation(
-        self,
-        request: Optional[operations_pb2.CancelOperationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> None:
-        r"""Starts asynchronous cancellation on a long-running operation.
-
-        The server makes a best effort to cancel the operation, but success
-        is not guaranteed.  If the server doesn't support this method, it returns
-        `google.rpc.Code.UNIMPLEMENTED`.
-
-        Args:
-            request (:class:`~.operations_pb2.CancelOperationRequest`):
-                The request object. Request message for
-                `CancelOperation` method.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            None
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.CancelOperationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self.transport._wrapped_methods[self._client._transport.cancel_operation]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        await rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
-
-    async def get_location(
-        self,
-        request: Optional[locations_pb2.GetLocationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> locations_pb2.Location:
-        r"""Gets information about a location.
-
-        Args:
-            request (:class:`~.location_pb2.GetLocationRequest`):
-                The request object. Request message for
-                `GetLocation` method.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
-                 if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.location_pb2.Location:
-                Location object.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = locations_pb2.GetLocationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self.transport._wrapped_methods[self._client._transport.get_location]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request, retry=retry, timeout=timeout, metadata=metadata,)
-
-        # Done; return the response.
-        return response
-
-    async def list_locations(
-        self,
-        request: Optional[locations_pb2.ListLocationsRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> locations_pb2.ListLocationsResponse:
-        r"""Lists information about the supported locations for this service.
-
-        Args:
-            request (:class:`~.location_pb2.ListLocationsRequest`):
-                The request object. Request message for
-                `ListLocations` method.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
-                 if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.location_pb2.ListLocationsResponse:
-                Response message for ``ListLocations`` method.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = locations_pb2.ListLocationsRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self.transport._wrapped_methods[self._client._transport.list_locations]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request, retry=retry, timeout=timeout, metadata=metadata,)
-
-        # Done; return the response.
-        return response
-
-    async def __aenter__(self) -> "DataplexServiceAsyncClient":
-        return self
-
-    async def __aexit__(self, exc_type, exc, tb):
-        await self.transport.close()
-
-DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(gapic_version=package_version.__version__)
-
-
-__all__ = (
-    "DataplexServiceAsyncClient",
-)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/dataplex_service/client.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/dataplex_service/client.py
deleted file mode 100644
index 81c523bf4d5d..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/dataplex_service/client.py
+++ /dev/null
@@ -1,4933 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from collections import OrderedDict
-import os
-import re
-from typing import Dict, Callable, Mapping, MutableMapping, MutableSequence, Optional, Sequence, Tuple, Type, Union, cast
-import warnings
-
-from google.cloud.dataplex_v1 import gapic_version as package_version
-
-from google.api_core import client_options as client_options_lib
-from google.api_core import exceptions as core_exceptions
-from google.api_core import gapic_v1
-from google.api_core import retry as retries
-from google.auth import credentials as ga_credentials             # type: ignore
-from google.auth.transport import mtls                            # type: ignore
-from google.auth.transport.grpc import SslCredentials             # type: ignore
-from google.auth.exceptions import MutualTLSChannelError          # type: ignore
-from google.oauth2 import service_account                         # type: ignore
-
-try:
-    OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None]
-except AttributeError:  # pragma: NO COVER
-    OptionalRetry = Union[retries.Retry, object, None]  # type: ignore
-
-from google.api_core import operation  # type: ignore
-from google.api_core import operation_async  # type: ignore
-from google.cloud.dataplex_v1.services.dataplex_service import pagers
-from google.cloud.dataplex_v1.types import analyze
-from google.cloud.dataplex_v1.types import resources
-from google.cloud.dataplex_v1.types import service
-from google.cloud.dataplex_v1.types import tasks
-from google.cloud.location import locations_pb2 # type: ignore
-from google.iam.v1 import iam_policy_pb2  # type: ignore
-from google.iam.v1 import policy_pb2  # type: ignore
-from google.longrunning import operations_pb2 # type: ignore
-from google.protobuf import empty_pb2  # type: ignore
-from google.protobuf import field_mask_pb2  # type: ignore
-from google.protobuf import timestamp_pb2  # type: ignore
-from .transports.base import DataplexServiceTransport, DEFAULT_CLIENT_INFO
-from .transports.grpc import DataplexServiceGrpcTransport
-from .transports.grpc_asyncio import DataplexServiceGrpcAsyncIOTransport
-
-
-class DataplexServiceClientMeta(type):
-    """Metaclass for the DataplexService client.
-
-    This provides class-level methods for building and retrieving
-    support objects (e.g. transport) without polluting the client instance
-    objects.
-    """
-    _transport_registry = OrderedDict()  # type: Dict[str, Type[DataplexServiceTransport]]
-    _transport_registry["grpc"] = DataplexServiceGrpcTransport
-    _transport_registry["grpc_asyncio"] = DataplexServiceGrpcAsyncIOTransport
-
-    def get_transport_class(cls,
-            label: Optional[str] = None,
-        ) -> Type[DataplexServiceTransport]:
-        """Returns an appropriate transport class.
-
-        Args:
-            label: The name of the desired transport. If none is
-                provided, then the first transport in the registry is used.
-
-        Returns:
-            The transport class to use.
-        """
-        # If a specific transport is requested, return that one.
-        if label:
-            return cls._transport_registry[label]
-
-        # No transport is requested; return the default (that is, the first one
-        # in the dictionary).
-        return next(iter(cls._transport_registry.values()))
-
-
-class DataplexServiceClient(metaclass=DataplexServiceClientMeta):
-    """Dataplex service provides data lakes as a service. The
-    primary resources offered by this service are Lakes, Zones and
-    Assets which collectively allow a data administrator to
-    organize, manage, secure and catalog data across their
-    organization located across cloud projects in a variety of
-    storage systems including Cloud Storage and BigQuery.
-    """
-
-    @staticmethod
-    def _get_default_mtls_endpoint(api_endpoint):
-        """Converts api endpoint to mTLS endpoint.
-
-        Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to
-        "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively.
-        Args:
-            api_endpoint (Optional[str]): the api endpoint to convert.
-        Returns:
-            str: converted mTLS api endpoint.
-        """
-        if not api_endpoint:
-            return api_endpoint
-
-        mtls_endpoint_re = re.compile(
-            r"(?P<name>[^.]+)(?P<mtls>\.mtls)?(?P<sandbox>\.sandbox)?(?P<googledomain>\.googleapis\.com)?"
-        )
-
-        m = mtls_endpoint_re.match(api_endpoint)
-        name, mtls, sandbox, googledomain = m.groups()
-        if mtls or not googledomain:
-            return api_endpoint
-
-        if sandbox:
-            return api_endpoint.replace(
-                "sandbox.googleapis.com", "mtls.sandbox.googleapis.com"
-            )
-
-        return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com")
-
-    # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead.
-    DEFAULT_ENDPOINT = "dataplex.googleapis.com"
-    DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__(  # type: ignore
-        DEFAULT_ENDPOINT
-    )
-
-    _DEFAULT_ENDPOINT_TEMPLATE = "dataplex.{UNIVERSE_DOMAIN}"
-    _DEFAULT_UNIVERSE = "googleapis.com"
-
-    @classmethod
-    def from_service_account_info(cls, info: dict, *args, **kwargs):
-        """Creates an instance of this client using the provided credentials
-            info.
-
-        Args:
-            info (dict): The service account private key info.
-            args: Additional arguments to pass to the constructor.
-            kwargs: Additional arguments to pass to the constructor.
-
-        Returns:
-            DataplexServiceClient: The constructed client.
-        """
-        credentials = service_account.Credentials.from_service_account_info(info)
-        kwargs["credentials"] = credentials
-        return cls(*args, **kwargs)
-
-    @classmethod
-    def from_service_account_file(cls, filename: str, *args, **kwargs):
-        """Creates an instance of this client using the provided credentials
-            file.
-
-        Args:
-            filename (str): The path to the service account private key json
-                file.
-            args: Additional arguments to pass to the constructor.
-            kwargs: Additional arguments to pass to the constructor.
-
-        Returns:
-            DataplexServiceClient: The constructed client.
-        """
-        credentials = service_account.Credentials.from_service_account_file(
-            filename)
-        kwargs["credentials"] = credentials
-        return cls(*args, **kwargs)
-
-    from_service_account_json = from_service_account_file
-
-    @property
-    def transport(self) -> DataplexServiceTransport:
-        """Returns the transport used by the client instance.
-
-        Returns:
-            DataplexServiceTransport: The transport used by the client
-                instance.
-        """
-        return self._transport
-
-    @staticmethod
-    def action_path(project: str,location: str,lake: str,action: str,) -> str:
-        """Returns a fully-qualified action string."""
-        return "projects/{project}/locations/{location}/lakes/{lake}/actions/{action}".format(project=project, location=location, lake=lake, action=action, )
-
-    @staticmethod
-    def parse_action_path(path: str) -> Dict[str,str]:
-        """Parses a action path into its component segments."""
-        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/lakes/(?P<lake>.+?)/actions/(?P<action>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def asset_path(project: str,location: str,lake: str,zone: str,asset: str,) -> str:
-        """Returns a fully-qualified asset string."""
-        return "projects/{project}/locations/{location}/lakes/{lake}/zones/{zone}/assets/{asset}".format(project=project, location=location, lake=lake, zone=zone, asset=asset, )
-
-    @staticmethod
-    def parse_asset_path(path: str) -> Dict[str,str]:
-        """Parses a asset path into its component segments."""
-        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/lakes/(?P<lake>.+?)/zones/(?P<zone>.+?)/assets/(?P<asset>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def environment_path(project: str,location: str,lake: str,environment: str,) -> str:
-        """Returns a fully-qualified environment string."""
-        return "projects/{project}/locations/{location}/lakes/{lake}/environments/{environment}".format(project=project, location=location, lake=lake, environment=environment, )
-
-    @staticmethod
-    def parse_environment_path(path: str) -> Dict[str,str]:
-        """Parses a environment path into its component segments."""
-        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/lakes/(?P<lake>.+?)/environments/(?P<environment>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def job_path(project: str,location: str,lake: str,task: str,job: str,) -> str:
-        """Returns a fully-qualified job string."""
-        return "projects/{project}/locations/{location}/lakes/{lake}/tasks/{task}/jobs/{job}".format(project=project, location=location, lake=lake, task=task, job=job, )
-
-    @staticmethod
-    def parse_job_path(path: str) -> Dict[str,str]:
-        """Parses a job path into its component segments."""
-        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/lakes/(?P<lake>.+?)/tasks/(?P<task>.+?)/jobs/(?P<job>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def lake_path(project: str,location: str,lake: str,) -> str:
-        """Returns a fully-qualified lake string."""
-        return "projects/{project}/locations/{location}/lakes/{lake}".format(project=project, location=location, lake=lake, )
-
-    @staticmethod
-    def parse_lake_path(path: str) -> Dict[str,str]:
-        """Parses a lake path into its component segments."""
-        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/lakes/(?P<lake>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def session_path(project: str,location: str,lake: str,environment: str,session: str,) -> str:
-        """Returns a fully-qualified session string."""
-        return "projects/{project}/locations/{location}/lakes/{lake}/environments/{environment}/sessions/{session}".format(project=project, location=location, lake=lake, environment=environment, session=session, )
-
-    @staticmethod
-    def parse_session_path(path: str) -> Dict[str,str]:
-        """Parses a session path into its component segments."""
-        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/lakes/(?P<lake>.+?)/environments/(?P<environment>.+?)/sessions/(?P<session>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def task_path(project: str,location: str,lake: str,task: str,) -> str:
-        """Returns a fully-qualified task string."""
-        return "projects/{project}/locations/{location}/lakes/{lake}/tasks/{task}".format(project=project, location=location, lake=lake, task=task, )
-
-    @staticmethod
-    def parse_task_path(path: str) -> Dict[str,str]:
-        """Parses a task path into its component segments."""
-        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/lakes/(?P<lake>.+?)/tasks/(?P<task>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def zone_path(project: str,location: str,lake: str,zone: str,) -> str:
-        """Returns a fully-qualified zone string."""
-        return "projects/{project}/locations/{location}/lakes/{lake}/zones/{zone}".format(project=project, location=location, lake=lake, zone=zone, )
-
-    @staticmethod
-    def parse_zone_path(path: str) -> Dict[str,str]:
-        """Parses a zone path into its component segments."""
-        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/lakes/(?P<lake>.+?)/zones/(?P<zone>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def common_billing_account_path(billing_account: str, ) -> str:
-        """Returns a fully-qualified billing_account string."""
-        return "billingAccounts/{billing_account}".format(billing_account=billing_account, )
-
-    @staticmethod
-    def parse_common_billing_account_path(path: str) -> Dict[str,str]:
-        """Parse a billing_account path into its component segments."""
-        m = re.match(r"^billingAccounts/(?P<billing_account>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def common_folder_path(folder: str, ) -> str:
-        """Returns a fully-qualified folder string."""
-        return "folders/{folder}".format(folder=folder, )
-
-    @staticmethod
-    def parse_common_folder_path(path: str) -> Dict[str,str]:
-        """Parse a folder path into its component segments."""
-        m = re.match(r"^folders/(?P<folder>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def common_organization_path(organization: str, ) -> str:
-        """Returns a fully-qualified organization string."""
-        return "organizations/{organization}".format(organization=organization, )
-
-    @staticmethod
-    def parse_common_organization_path(path: str) -> Dict[str,str]:
-        """Parse a organization path into its component segments."""
-        m = re.match(r"^organizations/(?P<organization>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def common_project_path(project: str, ) -> str:
-        """Returns a fully-qualified project string."""
-        return "projects/{project}".format(project=project, )
-
-    @staticmethod
-    def parse_common_project_path(path: str) -> Dict[str,str]:
-        """Parse a project path into its component segments."""
-        m = re.match(r"^projects/(?P<project>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def common_location_path(project: str, location: str, ) -> str:
-        """Returns a fully-qualified location string."""
-        return "projects/{project}/locations/{location}".format(project=project, location=location, )
-
-    @staticmethod
-    def parse_common_location_path(path: str) -> Dict[str,str]:
-        """Parse a location path into its component segments."""
-        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @classmethod
-    def get_mtls_endpoint_and_cert_source(cls, client_options: Optional[client_options_lib.ClientOptions] = None):
-        """Deprecated. Return the API endpoint and client cert source for mutual TLS.
-
-        The client cert source is determined in the following order:
-        (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the
-        client cert source is None.
-        (2) if `client_options.client_cert_source` is provided, use the provided one; if the
-        default client cert source exists, use the default one; otherwise the client cert
-        source is None.
-
-        The API endpoint is determined in the following order:
-        (1) if `client_options.api_endpoint` if provided, use the provided one.
-        (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the
-        default mTLS endpoint; if the environment variable is "never", use the default API
-        endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise
-        use the default API endpoint.
-
-        More details can be found at https://google.aip.dev/auth/4114.
-
-        Args:
-            client_options (google.api_core.client_options.ClientOptions): Custom options for the
-                client. Only the `api_endpoint` and `client_cert_source` properties may be used
-                in this method.
-
-        Returns:
-            Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the
-                client cert source to use.
-
-        Raises:
-            google.auth.exceptions.MutualTLSChannelError: If any errors happen.
-        """
-
-        warnings.warn("get_mtls_endpoint_and_cert_source is deprecated. Use the api_endpoint property instead.",
-            DeprecationWarning)
-        if client_options is None:
-            client_options = client_options_lib.ClientOptions()
-        use_client_cert = os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false")
-        use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto")
-        if use_client_cert not in ("true", "false"):
-            raise ValueError("Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`")
-        if use_mtls_endpoint not in ("auto", "never", "always"):
-            raise MutualTLSChannelError("Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`")
-
-        # Figure out the client cert source to use.
-        client_cert_source = None
-        if use_client_cert == "true":
-            if client_options.client_cert_source:
-                client_cert_source = client_options.client_cert_source
-            elif mtls.has_default_client_cert_source():
-                client_cert_source = mtls.default_client_cert_source()
-
-        # Figure out which api endpoint to use.
-        if client_options.api_endpoint is not None:
-            api_endpoint = client_options.api_endpoint
-        elif use_mtls_endpoint == "always" or (use_mtls_endpoint == "auto" and client_cert_source):
-            api_endpoint = cls.DEFAULT_MTLS_ENDPOINT
-        else:
-            api_endpoint = cls.DEFAULT_ENDPOINT
-
-        return api_endpoint, client_cert_source
-
-    @staticmethod
-    def _read_environment_variables():
-        """Returns the environment variables used by the client.
-
-        Returns:
-            Tuple[bool, str, str]: returns the GOOGLE_API_USE_CLIENT_CERTIFICATE,
-            GOOGLE_API_USE_MTLS_ENDPOINT, and GOOGLE_CLOUD_UNIVERSE_DOMAIN environment variables.
-
-        Raises:
-            ValueError: If GOOGLE_API_USE_CLIENT_CERTIFICATE is not
-                any of ["true", "false"].
-            google.auth.exceptions.MutualTLSChannelError: If GOOGLE_API_USE_MTLS_ENDPOINT
-                is not any of ["auto", "never", "always"].
-        """
-        use_client_cert = os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false").lower()
-        use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto").lower()
-        universe_domain_env = os.getenv("GOOGLE_CLOUD_UNIVERSE_DOMAIN")
-        if use_client_cert not in ("true", "false"):
-            raise ValueError("Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`")
-        if use_mtls_endpoint not in ("auto", "never", "always"):
-            raise MutualTLSChannelError("Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`")
-        return use_client_cert == "true", use_mtls_endpoint, universe_domain_env
-
-    @staticmethod
-    def _get_client_cert_source(provided_cert_source, use_cert_flag):
-        """Return the client cert source to be used by the client.
-
-        Args:
-            provided_cert_source (bytes): The client certificate source provided.
-            use_cert_flag (bool): A flag indicating whether to use the client certificate.
-
-        Returns:
-            bytes or None: The client cert source to be used by the client.
-        """
-        client_cert_source = None
-        if use_cert_flag:
-            if provided_cert_source:
-                client_cert_source = provided_cert_source
-            elif mtls.has_default_client_cert_source():
-                client_cert_source = mtls.default_client_cert_source()
-        return client_cert_source
-
-    @staticmethod
-    def _get_api_endpoint(api_override, client_cert_source, universe_domain, use_mtls_endpoint):
-        """Return the API endpoint used by the client.
-
-        Args:
-            api_override (str): The API endpoint override. If specified, this is always
-                the return value of this function and the other arguments are not used.
-            client_cert_source (bytes): The client certificate source used by the client.
-            universe_domain (str): The universe domain used by the client.
-            use_mtls_endpoint (str): How to use the mTLS endpoint, which depends also on the other parameters.
-                Possible values are "always", "auto", or "never".
-
-        Returns:
-            str: The API endpoint to be used by the client.
-        """
-        if api_override is not None:
-            api_endpoint = api_override
-        elif use_mtls_endpoint == "always" or (use_mtls_endpoint == "auto" and client_cert_source):
-            _default_universe = DataplexServiceClient._DEFAULT_UNIVERSE
-            if universe_domain != _default_universe:
-                raise MutualTLSChannelError(f"mTLS is not supported in any universe other than {_default_universe}.")
-            api_endpoint = DataplexServiceClient.DEFAULT_MTLS_ENDPOINT
-        else:
-            api_endpoint = DataplexServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=universe_domain)
-        return api_endpoint
-
-    @staticmethod
-    def _get_universe_domain(client_universe_domain: Optional[str], universe_domain_env: Optional[str]) -> str:
-        """Return the universe domain used by the client.
-
-        Args:
-            client_universe_domain (Optional[str]): The universe domain configured via the client options.
-            universe_domain_env (Optional[str]): The universe domain configured via the "GOOGLE_CLOUD_UNIVERSE_DOMAIN" environment variable.
-
-        Returns:
-            str: The universe domain to be used by the client.
-
-        Raises:
-            ValueError: If the universe domain is an empty string.
-        """
-        universe_domain = DataplexServiceClient._DEFAULT_UNIVERSE
-        if client_universe_domain is not None:
-            universe_domain = client_universe_domain
-        elif universe_domain_env is not None:
-            universe_domain = universe_domain_env
-        if len(universe_domain.strip()) == 0:
-            raise ValueError("Universe Domain cannot be an empty string.")
-        return universe_domain
-
-    def _validate_universe_domain(self):
-        """Validates client's and credentials' universe domains are consistent.
-
-        Returns:
-            bool: True iff the configured universe domain is valid.
-
-        Raises:
-            ValueError: If the configured universe domain is not valid.
-        """
-
-        # NOTE (b/349488459): universe validation is disabled until further notice.
-        return True
-
-    @property
-    def api_endpoint(self):
-        """Return the API endpoint used by the client instance.
-
-        Returns:
-            str: The API endpoint used by the client instance.
-        """
-        return self._api_endpoint
-
-    @property
-    def universe_domain(self) -> str:
-        """Return the universe domain used by the client instance.
-
-        Returns:
-            str: The universe domain used by the client instance.
-        """
-        return self._universe_domain
-
-    def __init__(self, *,
-            credentials: Optional[ga_credentials.Credentials] = None,
-            transport: Optional[Union[str, DataplexServiceTransport, Callable[..., DataplexServiceTransport]]] = None,
-            client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None,
-            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-            ) -> None:
-        """Instantiates the dataplex service client.
-
-        Args:
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-            transport (Optional[Union[str,DataplexServiceTransport,Callable[..., DataplexServiceTransport]]]):
-                The transport to use, or a Callable that constructs and returns a new transport.
-                If a Callable is given, it will be called with the same set of initialization
-                arguments as used in the DataplexServiceTransport constructor.
-                If set to None, a transport is chosen automatically.
-            client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]):
-                Custom options for the client.
-
-                1. The ``api_endpoint`` property can be used to override the
-                default endpoint provided by the client when ``transport`` is
-                not explicitly provided. Only if this property is not set and
-                ``transport`` was not explicitly provided, the endpoint is
-                determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment
-                variable, which have one of the following values:
-                "always" (always use the default mTLS endpoint), "never" (always
-                use the default regular endpoint) and "auto" (auto-switch to the
-                default mTLS endpoint if client certificate is present; this is
-                the default value).
-
-                2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable
-                is "true", then the ``client_cert_source`` property can be used
-                to provide a client certificate for mTLS transport. If
-                not provided, the default SSL client certificate will be used if
-                present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not
-                set, no client certificate will be used.
-
-                3. The ``universe_domain`` property can be used to override the
-                default "googleapis.com" universe. Note that the ``api_endpoint``
-                property still takes precedence; and ``universe_domain`` is
-                currently not supported for mTLS.
-
-            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
-                The client info used to send a user-agent string along with
-                API requests. If ``None``, then default info will be used.
-                Generally, you only need to set this if you're developing
-                your own client library.
-
-        Raises:
-            google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport
-                creation failed for any reason.
-        """
-        self._client_options = client_options
-        if isinstance(self._client_options, dict):
-            self._client_options = client_options_lib.from_dict(self._client_options)
-        if self._client_options is None:
-            self._client_options = client_options_lib.ClientOptions()
-        self._client_options = cast(client_options_lib.ClientOptions, self._client_options)
-
-        universe_domain_opt = getattr(self._client_options, 'universe_domain', None)
-
-        self._use_client_cert, self._use_mtls_endpoint, self._universe_domain_env = DataplexServiceClient._read_environment_variables()
-        self._client_cert_source = DataplexServiceClient._get_client_cert_source(self._client_options.client_cert_source, self._use_client_cert)
-        self._universe_domain = DataplexServiceClient._get_universe_domain(universe_domain_opt, self._universe_domain_env)
-        self._api_endpoint = None # updated below, depending on `transport`
-
-        # Initialize the universe domain validation.
-        self._is_universe_domain_valid = False
-
-        api_key_value = getattr(self._client_options, "api_key", None)
-        if api_key_value and credentials:
-            raise ValueError("client_options.api_key and credentials are mutually exclusive")
-
-        # Save or instantiate the transport.
-        # Ordinarily, we provide the transport, but allowing a custom transport
-        # instance provides an extensibility point for unusual situations.
-        transport_provided = isinstance(transport, DataplexServiceTransport)
-        if transport_provided:
-            # transport is a DataplexServiceTransport instance.
-            if credentials or self._client_options.credentials_file or api_key_value:
-                raise ValueError("When providing a transport instance, "
-                                 "provide its credentials directly.")
-            if self._client_options.scopes:
-                raise ValueError(
-                    "When providing a transport instance, provide its scopes "
-                    "directly."
-                )
-            self._transport = cast(DataplexServiceTransport, transport)
-            self._api_endpoint = self._transport.host
-
-        self._api_endpoint = (self._api_endpoint or
-            DataplexServiceClient._get_api_endpoint(
-                self._client_options.api_endpoint,
-                self._client_cert_source,
-                self._universe_domain,
-                self._use_mtls_endpoint))
-
-        if not transport_provided:
-            import google.auth._default  # type: ignore
-
-            if api_key_value and hasattr(google.auth._default, "get_api_key_credentials"):
-                credentials = google.auth._default.get_api_key_credentials(api_key_value)
-
-            transport_init: Union[Type[DataplexServiceTransport], Callable[..., DataplexServiceTransport]] = (
-                DataplexServiceClient.get_transport_class(transport)
-                if isinstance(transport, str) or transport is None
-                else cast(Callable[..., DataplexServiceTransport], transport)
-            )
-            # initialize with the provided callable or the passed in class
-            self._transport = transport_init(
-                credentials=credentials,
-                credentials_file=self._client_options.credentials_file,
-                host=self._api_endpoint,
-                scopes=self._client_options.scopes,
-                client_cert_source_for_mtls=self._client_cert_source,
-                quota_project_id=self._client_options.quota_project_id,
-                client_info=client_info,
-                always_use_jwt_access=True,
-                api_audience=self._client_options.api_audience,
-            )
-
-    def create_lake(self,
-            request: Optional[Union[service.CreateLakeRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            lake: Optional[resources.Lake] = None,
-            lake_id: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation.Operation:
-        r"""Creates a lake resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_create_lake():
-                # Create a client
-                client = dataplex_v1.DataplexServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.CreateLakeRequest(
-                    parent="parent_value",
-                    lake_id="lake_id_value",
-                )
-
-                # Make the request
-                operation = client.create_lake(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = operation.result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.CreateLakeRequest, dict]):
-                The request object. Create lake request.
-            parent (str):
-                Required. The resource name of the lake location, of the
-                form: projects/{project_number}/locations/{location_id}
-                where ``location_id`` refers to a GCP region.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            lake (google.cloud.dataplex_v1.types.Lake):
-                Required. Lake resource
-                This corresponds to the ``lake`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            lake_id (str):
-                Required. Lake identifier. This ID will be used to
-                generate names such as database and dataset names when
-                publishing metadata to Hive Metastore and BigQuery.
-
-                -  Must contain only lowercase letters, numbers and
-                   hyphens.
-                -  Must start with a letter.
-                -  Must end with a number or a letter.
-                -  Must be between 1-63 characters.
-                -  Must be unique within the customer project /
-                   location.
-
-                This corresponds to the ``lake_id`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation.Operation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.Lake` A lake is a centralized repository for managing enterprise data across the
-                   organization distributed across many cloud projects,
-                   and stored in a variety of storage services such as
-                   Google Cloud Storage and BigQuery. The resources
-                   attached to a lake are referred to as managed
-                   resources. Data within these managed resources can be
-                   structured or unstructured. A lake provides data
-                   admins with tools to organize, secure and manage
-                   their data at scale, and provides data scientists and
-                   data engineers an integrated experience to easily
-                   search, discover, analyze and transform data and
-                   associated metadata.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent, lake, lake_id])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.CreateLakeRequest):
-            request = service.CreateLakeRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if parent is not None:
-                request.parent = parent
-            if lake is not None:
-                request.lake = lake
-            if lake_id is not None:
-                request.lake_id = lake_id
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.create_lake]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation.from_gapic(
-            response,
-            self._transport.operations_client,
-            resources.Lake,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def update_lake(self,
-            request: Optional[Union[service.UpdateLakeRequest, dict]] = None,
-            *,
-            lake: Optional[resources.Lake] = None,
-            update_mask: Optional[field_mask_pb2.FieldMask] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation.Operation:
-        r"""Updates a lake resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_update_lake():
-                # Create a client
-                client = dataplex_v1.DataplexServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.UpdateLakeRequest(
-                )
-
-                # Make the request
-                operation = client.update_lake(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = operation.result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.UpdateLakeRequest, dict]):
-                The request object. Update lake request.
-            lake (google.cloud.dataplex_v1.types.Lake):
-                Required. Update description. Only fields specified in
-                ``update_mask`` are updated.
-
-                This corresponds to the ``lake`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            update_mask (google.protobuf.field_mask_pb2.FieldMask):
-                Required. Mask of fields to update.
-                This corresponds to the ``update_mask`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation.Operation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.Lake` A lake is a centralized repository for managing enterprise data across the
-                   organization distributed across many cloud projects,
-                   and stored in a variety of storage services such as
-                   Google Cloud Storage and BigQuery. The resources
-                   attached to a lake are referred to as managed
-                   resources. Data within these managed resources can be
-                   structured or unstructured. A lake provides data
-                   admins with tools to organize, secure and manage
-                   their data at scale, and provides data scientists and
-                   data engineers an integrated experience to easily
-                   search, discover, analyze and transform data and
-                   associated metadata.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([lake, update_mask])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.UpdateLakeRequest):
-            request = service.UpdateLakeRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if lake is not None:
-                request.lake = lake
-            if update_mask is not None:
-                request.update_mask = update_mask
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.update_lake]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("lake.name", request.lake.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation.from_gapic(
-            response,
-            self._transport.operations_client,
-            resources.Lake,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def delete_lake(self,
-            request: Optional[Union[service.DeleteLakeRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation.Operation:
-        r"""Deletes a lake resource. All zones within the lake
-        must be deleted before the lake can be deleted.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_delete_lake():
-                # Create a client
-                client = dataplex_v1.DataplexServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.DeleteLakeRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                operation = client.delete_lake(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = operation.result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.DeleteLakeRequest, dict]):
-                The request object. Delete lake request.
-            name (str):
-                Required. The resource name of the lake:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}``.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation.Operation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
-                   empty messages in your APIs. A typical example is to
-                   use it as the request or the response type of an API
-                   method. For instance:
-
-                      service Foo {
-                         rpc Bar(google.protobuf.Empty) returns
-                         (google.protobuf.Empty);
-
-                      }
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.DeleteLakeRequest):
-            request = service.DeleteLakeRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.delete_lake]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation.from_gapic(
-            response,
-            self._transport.operations_client,
-            empty_pb2.Empty,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def list_lakes(self,
-            request: Optional[Union[service.ListLakesRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> pagers.ListLakesPager:
-        r"""Lists lake resources in a project and location.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_list_lakes():
-                # Create a client
-                client = dataplex_v1.DataplexServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.ListLakesRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_lakes(request=request)
-
-                # Handle the response
-                for response in page_result:
-                    print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.ListLakesRequest, dict]):
-                The request object. List lakes request.
-            parent (str):
-                Required. The resource name of the lake location, of the
-                form:
-                ``projects/{project_number}/locations/{location_id}``
-                where ``location_id`` refers to a GCP region.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.services.dataplex_service.pagers.ListLakesPager:
-                List lakes response.
-
-                Iterating over this object will yield
-                results and resolve additional pages
-                automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.ListLakesRequest):
-            request = service.ListLakesRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if parent is not None:
-                request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.list_lakes]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__iter__` convenience method.
-        response = pagers.ListLakesPager(
-            method=rpc,
-            request=request,
-            response=response,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def get_lake(self,
-            request: Optional[Union[service.GetLakeRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> resources.Lake:
-        r"""Retrieves a lake resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_get_lake():
-                # Create a client
-                client = dataplex_v1.DataplexServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.GetLakeRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = client.get_lake(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.GetLakeRequest, dict]):
-                The request object. Get lake request.
-            name (str):
-                Required. The resource name of the lake:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}``.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.Lake:
-                A lake is a centralized repository
-                for managing enterprise data across the
-                organization distributed across many
-                cloud projects, and stored in a variety
-                of storage services such as Google Cloud
-                Storage and BigQuery. The resources
-                attached to a lake are referred to as
-                managed resources. Data within these
-                managed resources can be structured or
-                unstructured. A lake provides data
-                admins with tools to organize, secure
-                and manage their data at scale, and
-                provides data scientists and data
-                engineers an integrated experience to
-                easily search, discover, analyze and
-                transform data and associated metadata.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.GetLakeRequest):
-            request = service.GetLakeRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.get_lake]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def list_lake_actions(self,
-            request: Optional[Union[service.ListLakeActionsRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> pagers.ListLakeActionsPager:
-        r"""Lists action resources in a lake.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_list_lake_actions():
-                # Create a client
-                client = dataplex_v1.DataplexServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.ListLakeActionsRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_lake_actions(request=request)
-
-                # Handle the response
-                for response in page_result:
-                    print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.ListLakeActionsRequest, dict]):
-                The request object. List lake actions request.
-            parent (str):
-                Required. The resource name of the parent lake:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}``.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.services.dataplex_service.pagers.ListLakeActionsPager:
-                List actions response.
-
-                Iterating over this object will yield
-                results and resolve additional pages
-                automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.ListLakeActionsRequest):
-            request = service.ListLakeActionsRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if parent is not None:
-                request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.list_lake_actions]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__iter__` convenience method.
-        response = pagers.ListLakeActionsPager(
-            method=rpc,
-            request=request,
-            response=response,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def create_zone(self,
-            request: Optional[Union[service.CreateZoneRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            zone: Optional[resources.Zone] = None,
-            zone_id: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation.Operation:
-        r"""Creates a zone resource within a lake.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_create_zone():
-                # Create a client
-                client = dataplex_v1.DataplexServiceClient()
-
-                # Initialize request argument(s)
-                zone = dataplex_v1.Zone()
-                zone.type_ = "CURATED"
-                zone.resource_spec.location_type = "MULTI_REGION"
-
-                request = dataplex_v1.CreateZoneRequest(
-                    parent="parent_value",
-                    zone_id="zone_id_value",
-                    zone=zone,
-                )
-
-                # Make the request
-                operation = client.create_zone(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = operation.result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.CreateZoneRequest, dict]):
-                The request object. Create zone request.
-            parent (str):
-                Required. The resource name of the parent lake:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}``.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            zone (google.cloud.dataplex_v1.types.Zone):
-                Required. Zone resource.
-                This corresponds to the ``zone`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            zone_id (str):
-                Required. Zone identifier. This ID will be used to
-                generate names such as database and dataset names when
-                publishing metadata to Hive Metastore and BigQuery.
-
-                -  Must contain only lowercase letters, numbers and
-                   hyphens.
-                -  Must start with a letter.
-                -  Must end with a number or a letter.
-                -  Must be between 1-63 characters.
-                -  Must be unique across all lakes from all locations in
-                   a project.
-                -  Must not be one of the reserved IDs (i.e. "default",
-                   "global-temp")
-
-                This corresponds to the ``zone_id`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation.Operation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.Zone` A zone represents a logical group of related assets within a lake. A zone can
-                   be used to map to organizational structure or
-                   represent stages of data readiness from raw to
-                   curated. It provides managing behavior that is shared
-                   or inherited by all contained assets.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent, zone, zone_id])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.CreateZoneRequest):
-            request = service.CreateZoneRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if parent is not None:
-                request.parent = parent
-            if zone is not None:
-                request.zone = zone
-            if zone_id is not None:
-                request.zone_id = zone_id
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.create_zone]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation.from_gapic(
-            response,
-            self._transport.operations_client,
-            resources.Zone,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def update_zone(self,
-            request: Optional[Union[service.UpdateZoneRequest, dict]] = None,
-            *,
-            zone: Optional[resources.Zone] = None,
-            update_mask: Optional[field_mask_pb2.FieldMask] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation.Operation:
-        r"""Updates a zone resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_update_zone():
-                # Create a client
-                client = dataplex_v1.DataplexServiceClient()
-
-                # Initialize request argument(s)
-                zone = dataplex_v1.Zone()
-                zone.type_ = "CURATED"
-                zone.resource_spec.location_type = "MULTI_REGION"
-
-                request = dataplex_v1.UpdateZoneRequest(
-                    zone=zone,
-                )
-
-                # Make the request
-                operation = client.update_zone(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = operation.result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.UpdateZoneRequest, dict]):
-                The request object. Update zone request.
-            zone (google.cloud.dataplex_v1.types.Zone):
-                Required. Update description. Only fields specified in
-                ``update_mask`` are updated.
-
-                This corresponds to the ``zone`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            update_mask (google.protobuf.field_mask_pb2.FieldMask):
-                Required. Mask of fields to update.
-                This corresponds to the ``update_mask`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation.Operation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.Zone` A zone represents a logical group of related assets within a lake. A zone can
-                   be used to map to organizational structure or
-                   represent stages of data readiness from raw to
-                   curated. It provides managing behavior that is shared
-                   or inherited by all contained assets.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([zone, update_mask])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.UpdateZoneRequest):
-            request = service.UpdateZoneRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if zone is not None:
-                request.zone = zone
-            if update_mask is not None:
-                request.update_mask = update_mask
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.update_zone]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("zone.name", request.zone.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation.from_gapic(
-            response,
-            self._transport.operations_client,
-            resources.Zone,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def delete_zone(self,
-            request: Optional[Union[service.DeleteZoneRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation.Operation:
-        r"""Deletes a zone resource. All assets within a zone
-        must be deleted before the zone can be deleted.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_delete_zone():
-                # Create a client
-                client = dataplex_v1.DataplexServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.DeleteZoneRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                operation = client.delete_zone(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = operation.result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.DeleteZoneRequest, dict]):
-                The request object. Delete zone request.
-            name (str):
-                Required. The resource name of the zone:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}``.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation.Operation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
-                   empty messages in your APIs. A typical example is to
-                   use it as the request or the response type of an API
-                   method. For instance:
-
-                      service Foo {
-                         rpc Bar(google.protobuf.Empty) returns
-                         (google.protobuf.Empty);
-
-                      }
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.DeleteZoneRequest):
-            request = service.DeleteZoneRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.delete_zone]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation.from_gapic(
-            response,
-            self._transport.operations_client,
-            empty_pb2.Empty,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def list_zones(self,
-            request: Optional[Union[service.ListZonesRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> pagers.ListZonesPager:
-        r"""Lists zone resources in a lake.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_list_zones():
-                # Create a client
-                client = dataplex_v1.DataplexServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.ListZonesRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_zones(request=request)
-
-                # Handle the response
-                for response in page_result:
-                    print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.ListZonesRequest, dict]):
-                The request object. List zones request.
-            parent (str):
-                Required. The resource name of the parent lake:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}``.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.services.dataplex_service.pagers.ListZonesPager:
-                List zones response.
-
-                Iterating over this object will yield
-                results and resolve additional pages
-                automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.ListZonesRequest):
-            request = service.ListZonesRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if parent is not None:
-                request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.list_zones]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__iter__` convenience method.
-        response = pagers.ListZonesPager(
-            method=rpc,
-            request=request,
-            response=response,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def get_zone(self,
-            request: Optional[Union[service.GetZoneRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> resources.Zone:
-        r"""Retrieves a zone resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_get_zone():
-                # Create a client
-                client = dataplex_v1.DataplexServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.GetZoneRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = client.get_zone(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.GetZoneRequest, dict]):
-                The request object. Get zone request.
-            name (str):
-                Required. The resource name of the zone:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}``.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.Zone:
-                A zone represents a logical group of
-                related assets within a lake. A zone can
-                be used to map to organizational
-                structure or represent stages of data
-                readiness from raw to curated. It
-                provides managing behavior that is
-                shared or inherited by all contained
-                assets.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.GetZoneRequest):
-            request = service.GetZoneRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.get_zone]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def list_zone_actions(self,
-            request: Optional[Union[service.ListZoneActionsRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> pagers.ListZoneActionsPager:
-        r"""Lists action resources in a zone.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_list_zone_actions():
-                # Create a client
-                client = dataplex_v1.DataplexServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.ListZoneActionsRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_zone_actions(request=request)
-
-                # Handle the response
-                for response in page_result:
-                    print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.ListZoneActionsRequest, dict]):
-                The request object. List zone actions request.
-            parent (str):
-                Required. The resource name of the parent zone:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}``.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.services.dataplex_service.pagers.ListZoneActionsPager:
-                List actions response.
-
-                Iterating over this object will yield
-                results and resolve additional pages
-                automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.ListZoneActionsRequest):
-            request = service.ListZoneActionsRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if parent is not None:
-                request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.list_zone_actions]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__iter__` convenience method.
-        response = pagers.ListZoneActionsPager(
-            method=rpc,
-            request=request,
-            response=response,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def create_asset(self,
-            request: Optional[Union[service.CreateAssetRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            asset: Optional[resources.Asset] = None,
-            asset_id: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation.Operation:
-        r"""Creates an asset resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_create_asset():
-                # Create a client
-                client = dataplex_v1.DataplexServiceClient()
-
-                # Initialize request argument(s)
-                asset = dataplex_v1.Asset()
-                asset.resource_spec.type_ = "BIGQUERY_DATASET"
-
-                request = dataplex_v1.CreateAssetRequest(
-                    parent="parent_value",
-                    asset_id="asset_id_value",
-                    asset=asset,
-                )
-
-                # Make the request
-                operation = client.create_asset(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = operation.result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.CreateAssetRequest, dict]):
-                The request object. Create asset request.
-            parent (str):
-                Required. The resource name of the parent zone:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}``.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            asset (google.cloud.dataplex_v1.types.Asset):
-                Required. Asset resource.
-                This corresponds to the ``asset`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            asset_id (str):
-                Required. Asset identifier. This ID will be used to
-                generate names such as table names when publishing
-                metadata to Hive Metastore and BigQuery.
-
-                -  Must contain only lowercase letters, numbers and
-                   hyphens.
-                -  Must start with a letter.
-                -  Must end with a number or a letter.
-                -  Must be between 1-63 characters.
-                -  Must be unique within the zone.
-
-                This corresponds to the ``asset_id`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation.Operation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.Asset` An asset represents a cloud resource that is being managed within a lake as a
-                   member of a zone.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent, asset, asset_id])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.CreateAssetRequest):
-            request = service.CreateAssetRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if parent is not None:
-                request.parent = parent
-            if asset is not None:
-                request.asset = asset
-            if asset_id is not None:
-                request.asset_id = asset_id
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.create_asset]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation.from_gapic(
-            response,
-            self._transport.operations_client,
-            resources.Asset,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def update_asset(self,
-            request: Optional[Union[service.UpdateAssetRequest, dict]] = None,
-            *,
-            asset: Optional[resources.Asset] = None,
-            update_mask: Optional[field_mask_pb2.FieldMask] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation.Operation:
-        r"""Updates an asset resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_update_asset():
-                # Create a client
-                client = dataplex_v1.DataplexServiceClient()
-
-                # Initialize request argument(s)
-                asset = dataplex_v1.Asset()
-                asset.resource_spec.type_ = "BIGQUERY_DATASET"
-
-                request = dataplex_v1.UpdateAssetRequest(
-                    asset=asset,
-                )
-
-                # Make the request
-                operation = client.update_asset(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = operation.result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.UpdateAssetRequest, dict]):
-                The request object. Update asset request.
-            asset (google.cloud.dataplex_v1.types.Asset):
-                Required. Update description. Only fields specified in
-                ``update_mask`` are updated.
-
-                This corresponds to the ``asset`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            update_mask (google.protobuf.field_mask_pb2.FieldMask):
-                Required. Mask of fields to update.
-                This corresponds to the ``update_mask`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation.Operation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.Asset` An asset represents a cloud resource that is being managed within a lake as a
-                   member of a zone.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([asset, update_mask])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.UpdateAssetRequest):
-            request = service.UpdateAssetRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if asset is not None:
-                request.asset = asset
-            if update_mask is not None:
-                request.update_mask = update_mask
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.update_asset]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("asset.name", request.asset.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation.from_gapic(
-            response,
-            self._transport.operations_client,
-            resources.Asset,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def delete_asset(self,
-            request: Optional[Union[service.DeleteAssetRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation.Operation:
-        r"""Deletes an asset resource. The referenced storage
-        resource is detached (default) or deleted based on the
-        associated Lifecycle policy.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_delete_asset():
-                # Create a client
-                client = dataplex_v1.DataplexServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.DeleteAssetRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                operation = client.delete_asset(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = operation.result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.DeleteAssetRequest, dict]):
-                The request object. Delete asset request.
-            name (str):
-                Required. The resource name of the asset:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/assets/{asset_id}``.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation.Operation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
-                   empty messages in your APIs. A typical example is to
-                   use it as the request or the response type of an API
-                   method. For instance:
-
-                      service Foo {
-                         rpc Bar(google.protobuf.Empty) returns
-                         (google.protobuf.Empty);
-
-                      }
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.DeleteAssetRequest):
-            request = service.DeleteAssetRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.delete_asset]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation.from_gapic(
-            response,
-            self._transport.operations_client,
-            empty_pb2.Empty,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def list_assets(self,
-            request: Optional[Union[service.ListAssetsRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> pagers.ListAssetsPager:
-        r"""Lists asset resources in a zone.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_list_assets():
-                # Create a client
-                client = dataplex_v1.DataplexServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.ListAssetsRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_assets(request=request)
-
-                # Handle the response
-                for response in page_result:
-                    print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.ListAssetsRequest, dict]):
-                The request object. List assets request.
-            parent (str):
-                Required. The resource name of the parent zone:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}``.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.services.dataplex_service.pagers.ListAssetsPager:
-                List assets response.
-
-                Iterating over this object will yield
-                results and resolve additional pages
-                automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.ListAssetsRequest):
-            request = service.ListAssetsRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if parent is not None:
-                request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.list_assets]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__iter__` convenience method.
-        response = pagers.ListAssetsPager(
-            method=rpc,
-            request=request,
-            response=response,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def get_asset(self,
-            request: Optional[Union[service.GetAssetRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> resources.Asset:
-        r"""Retrieves an asset resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_get_asset():
-                # Create a client
-                client = dataplex_v1.DataplexServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.GetAssetRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = client.get_asset(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.GetAssetRequest, dict]):
-                The request object. Get asset request.
-            name (str):
-                Required. The resource name of the asset:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/assets/{asset_id}``.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.Asset:
-                An asset represents a cloud resource
-                that is being managed within a lake as a
-                member of a zone.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.GetAssetRequest):
-            request = service.GetAssetRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.get_asset]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def list_asset_actions(self,
-            request: Optional[Union[service.ListAssetActionsRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> pagers.ListAssetActionsPager:
-        r"""Lists action resources in an asset.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_list_asset_actions():
-                # Create a client
-                client = dataplex_v1.DataplexServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.ListAssetActionsRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_asset_actions(request=request)
-
-                # Handle the response
-                for response in page_result:
-                    print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.ListAssetActionsRequest, dict]):
-                The request object. List asset actions request.
-            parent (str):
-                Required. The resource name of the parent asset:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/assets/{asset_id}``.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.services.dataplex_service.pagers.ListAssetActionsPager:
-                List actions response.
-
-                Iterating over this object will yield
-                results and resolve additional pages
-                automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.ListAssetActionsRequest):
-            request = service.ListAssetActionsRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if parent is not None:
-                request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.list_asset_actions]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__iter__` convenience method.
-        response = pagers.ListAssetActionsPager(
-            method=rpc,
-            request=request,
-            response=response,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def create_task(self,
-            request: Optional[Union[service.CreateTaskRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            task: Optional[tasks.Task] = None,
-            task_id: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation.Operation:
-        r"""Creates a task resource within a lake.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_create_task():
-                # Create a client
-                client = dataplex_v1.DataplexServiceClient()
-
-                # Initialize request argument(s)
-                task = dataplex_v1.Task()
-                task.spark.main_jar_file_uri = "main_jar_file_uri_value"
-                task.trigger_spec.schedule = "schedule_value"
-                task.trigger_spec.type_ = "RECURRING"
-                task.execution_spec.service_account = "service_account_value"
-
-                request = dataplex_v1.CreateTaskRequest(
-                    parent="parent_value",
-                    task_id="task_id_value",
-                    task=task,
-                )
-
-                # Make the request
-                operation = client.create_task(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = operation.result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.CreateTaskRequest, dict]):
-                The request object. Create task request.
-            parent (str):
-                Required. The resource name of the parent lake:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}``.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            task (google.cloud.dataplex_v1.types.Task):
-                Required. Task resource.
-                This corresponds to the ``task`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            task_id (str):
-                Required. Task identifier.
-                This corresponds to the ``task_id`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation.Operation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be
-                :class:`google.cloud.dataplex_v1.types.Task` A task
-                represents a user-visible job.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent, task, task_id])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.CreateTaskRequest):
-            request = service.CreateTaskRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if parent is not None:
-                request.parent = parent
-            if task is not None:
-                request.task = task
-            if task_id is not None:
-                request.task_id = task_id
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.create_task]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation.from_gapic(
-            response,
-            self._transport.operations_client,
-            tasks.Task,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def update_task(self,
-            request: Optional[Union[service.UpdateTaskRequest, dict]] = None,
-            *,
-            task: Optional[tasks.Task] = None,
-            update_mask: Optional[field_mask_pb2.FieldMask] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation.Operation:
-        r"""Update the task resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_update_task():
-                # Create a client
-                client = dataplex_v1.DataplexServiceClient()
-
-                # Initialize request argument(s)
-                task = dataplex_v1.Task()
-                task.spark.main_jar_file_uri = "main_jar_file_uri_value"
-                task.trigger_spec.schedule = "schedule_value"
-                task.trigger_spec.type_ = "RECURRING"
-                task.execution_spec.service_account = "service_account_value"
-
-                request = dataplex_v1.UpdateTaskRequest(
-                    task=task,
-                )
-
-                # Make the request
-                operation = client.update_task(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = operation.result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.UpdateTaskRequest, dict]):
-                The request object. Update task request.
-            task (google.cloud.dataplex_v1.types.Task):
-                Required. Update description. Only fields specified in
-                ``update_mask`` are updated.
-
-                This corresponds to the ``task`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            update_mask (google.protobuf.field_mask_pb2.FieldMask):
-                Required. Mask of fields to update.
-                This corresponds to the ``update_mask`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation.Operation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be
-                :class:`google.cloud.dataplex_v1.types.Task` A task
-                represents a user-visible job.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([task, update_mask])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.UpdateTaskRequest):
-            request = service.UpdateTaskRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if task is not None:
-                request.task = task
-            if update_mask is not None:
-                request.update_mask = update_mask
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.update_task]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("task.name", request.task.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation.from_gapic(
-            response,
-            self._transport.operations_client,
-            tasks.Task,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def delete_task(self,
-            request: Optional[Union[service.DeleteTaskRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation.Operation:
-        r"""Delete the task resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_delete_task():
-                # Create a client
-                client = dataplex_v1.DataplexServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.DeleteTaskRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                operation = client.delete_task(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = operation.result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.DeleteTaskRequest, dict]):
-                The request object. Delete task request.
-            name (str):
-                Required. The resource name of the task:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/task/{task_id}``.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation.Operation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
-                   empty messages in your APIs. A typical example is to
-                   use it as the request or the response type of an API
-                   method. For instance:
-
-                      service Foo {
-                         rpc Bar(google.protobuf.Empty) returns
-                         (google.protobuf.Empty);
-
-                      }
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.DeleteTaskRequest):
-            request = service.DeleteTaskRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.delete_task]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation.from_gapic(
-            response,
-            self._transport.operations_client,
-            empty_pb2.Empty,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def list_tasks(self,
-            request: Optional[Union[service.ListTasksRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> pagers.ListTasksPager:
-        r"""Lists tasks under the given lake.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_list_tasks():
-                # Create a client
-                client = dataplex_v1.DataplexServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.ListTasksRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_tasks(request=request)
-
-                # Handle the response
-                for response in page_result:
-                    print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.ListTasksRequest, dict]):
-                The request object. List tasks request.
-            parent (str):
-                Required. The resource name of the parent lake:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}``.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.services.dataplex_service.pagers.ListTasksPager:
-                List tasks response.
-
-                Iterating over this object will yield
-                results and resolve additional pages
-                automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.ListTasksRequest):
-            request = service.ListTasksRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if parent is not None:
-                request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.list_tasks]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__iter__` convenience method.
-        response = pagers.ListTasksPager(
-            method=rpc,
-            request=request,
-            response=response,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def get_task(self,
-            request: Optional[Union[service.GetTaskRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> tasks.Task:
-        r"""Get task resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_get_task():
-                # Create a client
-                client = dataplex_v1.DataplexServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.GetTaskRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = client.get_task(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.GetTaskRequest, dict]):
-                The request object. Get task request.
-            name (str):
-                Required. The resource name of the task:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/tasks/{tasks_id}``.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.Task:
-                A task represents a user-visible job.
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.GetTaskRequest):
-            request = service.GetTaskRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.get_task]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def list_jobs(self,
-            request: Optional[Union[service.ListJobsRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> pagers.ListJobsPager:
-        r"""Lists Jobs under the given task.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_list_jobs():
-                # Create a client
-                client = dataplex_v1.DataplexServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.ListJobsRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_jobs(request=request)
-
-                # Handle the response
-                for response in page_result:
-                    print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.ListJobsRequest, dict]):
-                The request object. List jobs request.
-            parent (str):
-                Required. The resource name of the parent environment:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/tasks/{task_id}``.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.services.dataplex_service.pagers.ListJobsPager:
-                List jobs response.
-
-                Iterating over this object will yield
-                results and resolve additional pages
-                automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.ListJobsRequest):
-            request = service.ListJobsRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if parent is not None:
-                request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.list_jobs]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__iter__` convenience method.
-        response = pagers.ListJobsPager(
-            method=rpc,
-            request=request,
-            response=response,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def run_task(self,
-            request: Optional[Union[service.RunTaskRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> service.RunTaskResponse:
-        r"""Run an on demand execution of a Task.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_run_task():
-                # Create a client
-                client = dataplex_v1.DataplexServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.RunTaskRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = client.run_task(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.RunTaskRequest, dict]):
-                The request object.
-            name (str):
-                Required. The resource name of the task:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/tasks/{task_id}``.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.RunTaskResponse:
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.RunTaskRequest):
-            request = service.RunTaskRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.run_task]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def get_job(self,
-            request: Optional[Union[service.GetJobRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> tasks.Job:
-        r"""Get job resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_get_job():
-                # Create a client
-                client = dataplex_v1.DataplexServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.GetJobRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = client.get_job(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.GetJobRequest, dict]):
-                The request object. Get job request.
-            name (str):
-                Required. The resource name of the job:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/tasks/{task_id}/jobs/{job_id}``.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.Job:
-                A job represents an instance of a
-                task.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.GetJobRequest):
-            request = service.GetJobRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.get_job]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def cancel_job(self,
-            request: Optional[Union[service.CancelJobRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> None:
-        r"""Cancel jobs running for the task resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_cancel_job():
-                # Create a client
-                client = dataplex_v1.DataplexServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.CancelJobRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                client.cancel_job(request=request)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.CancelJobRequest, dict]):
-                The request object. Cancel task jobs.
-            name (str):
-                Required. The resource name of the job:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/task/{task_id}/job/{job_id}``.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.CancelJobRequest):
-            request = service.CancelJobRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.cancel_job]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-    def create_environment(self,
-            request: Optional[Union[service.CreateEnvironmentRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            environment: Optional[analyze.Environment] = None,
-            environment_id: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation.Operation:
-        r"""Create an environment resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_create_environment():
-                # Create a client
-                client = dataplex_v1.DataplexServiceClient()
-
-                # Initialize request argument(s)
-                environment = dataplex_v1.Environment()
-                environment.infrastructure_spec.os_image.image_version = "image_version_value"
-
-                request = dataplex_v1.CreateEnvironmentRequest(
-                    parent="parent_value",
-                    environment_id="environment_id_value",
-                    environment=environment,
-                )
-
-                # Make the request
-                operation = client.create_environment(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = operation.result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.CreateEnvironmentRequest, dict]):
-                The request object. Create environment request.
-            parent (str):
-                Required. The resource name of the parent lake:
-                ``projects/{project_id}/locations/{location_id}/lakes/{lake_id}``.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            environment (google.cloud.dataplex_v1.types.Environment):
-                Required. Environment resource.
-                This corresponds to the ``environment`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            environment_id (str):
-                Required. Environment identifier.
-
-                -  Must contain only lowercase letters, numbers and
-                   hyphens.
-                -  Must start with a letter.
-                -  Must be between 1-63 characters.
-                -  Must end with a number or a letter.
-                -  Must be unique within the lake.
-
-                This corresponds to the ``environment_id`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation.Operation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.Environment` Environment represents a user-visible compute infrastructure for analytics
-                   within a lake.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent, environment, environment_id])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.CreateEnvironmentRequest):
-            request = service.CreateEnvironmentRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if parent is not None:
-                request.parent = parent
-            if environment is not None:
-                request.environment = environment
-            if environment_id is not None:
-                request.environment_id = environment_id
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.create_environment]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation.from_gapic(
-            response,
-            self._transport.operations_client,
-            analyze.Environment,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def update_environment(self,
-            request: Optional[Union[service.UpdateEnvironmentRequest, dict]] = None,
-            *,
-            environment: Optional[analyze.Environment] = None,
-            update_mask: Optional[field_mask_pb2.FieldMask] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation.Operation:
-        r"""Update the environment resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_update_environment():
-                # Create a client
-                client = dataplex_v1.DataplexServiceClient()
-
-                # Initialize request argument(s)
-                environment = dataplex_v1.Environment()
-                environment.infrastructure_spec.os_image.image_version = "image_version_value"
-
-                request = dataplex_v1.UpdateEnvironmentRequest(
-                    environment=environment,
-                )
-
-                # Make the request
-                operation = client.update_environment(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = operation.result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.UpdateEnvironmentRequest, dict]):
-                The request object. Update environment request.
-            environment (google.cloud.dataplex_v1.types.Environment):
-                Required. Update description. Only fields specified in
-                ``update_mask`` are updated.
-
-                This corresponds to the ``environment`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            update_mask (google.protobuf.field_mask_pb2.FieldMask):
-                Required. Mask of fields to update.
-                This corresponds to the ``update_mask`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation.Operation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.Environment` Environment represents a user-visible compute infrastructure for analytics
-                   within a lake.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([environment, update_mask])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.UpdateEnvironmentRequest):
-            request = service.UpdateEnvironmentRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if environment is not None:
-                request.environment = environment
-            if update_mask is not None:
-                request.update_mask = update_mask
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.update_environment]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("environment.name", request.environment.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation.from_gapic(
-            response,
-            self._transport.operations_client,
-            analyze.Environment,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def delete_environment(self,
-            request: Optional[Union[service.DeleteEnvironmentRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> operation.Operation:
-        r"""Delete the environment resource. All the child
-        resources must have been deleted before environment
-        deletion can be initiated.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_delete_environment():
-                # Create a client
-                client = dataplex_v1.DataplexServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.DeleteEnvironmentRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                operation = client.delete_environment(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = operation.result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.DeleteEnvironmentRequest, dict]):
-                The request object. Delete environment request.
-            name (str):
-                Required. The resource name of the environment:
-                ``projects/{project_id}/locations/{location_id}/lakes/{lake_id}/environments/{environment_id}``.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation.Operation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
-                   empty messages in your APIs. A typical example is to
-                   use it as the request or the response type of an API
-                   method. For instance:
-
-                      service Foo {
-                         rpc Bar(google.protobuf.Empty) returns
-                         (google.protobuf.Empty);
-
-                      }
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.DeleteEnvironmentRequest):
-            request = service.DeleteEnvironmentRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.delete_environment]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation.from_gapic(
-            response,
-            self._transport.operations_client,
-            empty_pb2.Empty,
-            metadata_type=service.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def list_environments(self,
-            request: Optional[Union[service.ListEnvironmentsRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> pagers.ListEnvironmentsPager:
-        r"""Lists environments under the given lake.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_list_environments():
-                # Create a client
-                client = dataplex_v1.DataplexServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.ListEnvironmentsRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_environments(request=request)
-
-                # Handle the response
-                for response in page_result:
-                    print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.ListEnvironmentsRequest, dict]):
-                The request object. List environments request.
-            parent (str):
-                Required. The resource name of the parent lake:
-                ``projects/{project_id}/locations/{location_id}/lakes/{lake_id}``.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.services.dataplex_service.pagers.ListEnvironmentsPager:
-                List environments response.
-
-                Iterating over this object will yield
-                results and resolve additional pages
-                automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.ListEnvironmentsRequest):
-            request = service.ListEnvironmentsRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if parent is not None:
-                request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.list_environments]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__iter__` convenience method.
-        response = pagers.ListEnvironmentsPager(
-            method=rpc,
-            request=request,
-            response=response,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def get_environment(self,
-            request: Optional[Union[service.GetEnvironmentRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> analyze.Environment:
-        r"""Get environment resource.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_get_environment():
-                # Create a client
-                client = dataplex_v1.DataplexServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.GetEnvironmentRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = client.get_environment(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.GetEnvironmentRequest, dict]):
-                The request object. Get environment request.
-            name (str):
-                Required. The resource name of the environment:
-                ``projects/{project_id}/locations/{location_id}/lakes/{lake_id}/environments/{environment_id}``.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.Environment:
-                Environment represents a user-visible
-                compute infrastructure for analytics
-                within a lake.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.GetEnvironmentRequest):
-            request = service.GetEnvironmentRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.get_environment]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def list_sessions(self,
-            request: Optional[Union[service.ListSessionsRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> pagers.ListSessionsPager:
-        r"""Lists session resources in an environment.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_list_sessions():
-                # Create a client
-                client = dataplex_v1.DataplexServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.ListSessionsRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_sessions(request=request)
-
-                # Handle the response
-                for response in page_result:
-                    print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.ListSessionsRequest, dict]):
-                The request object. List sessions request.
-            parent (str):
-                Required. The resource name of the parent environment:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/environment/{environment_id}``.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.services.dataplex_service.pagers.ListSessionsPager:
-                List sessions response.
-
-                Iterating over this object will yield
-                results and resolve additional pages
-                automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, service.ListSessionsRequest):
-            request = service.ListSessionsRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if parent is not None:
-                request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.list_sessions]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__iter__` convenience method.
-        response = pagers.ListSessionsPager(
-            method=rpc,
-            request=request,
-            response=response,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def __enter__(self) -> "DataplexServiceClient":
-        return self
-
-    def __exit__(self, type, value, traceback):
-        """Releases underlying transport's resources.
-
-        .. warning::
-            ONLY use as a context manager if the transport is NOT shared
-            with other clients! Exiting the with block will CLOSE the transport
-            and may cause errors in other clients!
-        """
-        self.transport.close()
-
-    def list_operations(
-        self,
-        request: Optional[operations_pb2.ListOperationsRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operations_pb2.ListOperationsResponse:
-        r"""Lists operations that match the specified filter in the request.
-
-        Args:
-            request (:class:`~.operations_pb2.ListOperationsRequest`):
-                The request object. Request message for
-                `ListOperations` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.operations_pb2.ListOperationsResponse:
-                Response message for ``ListOperations`` method.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.ListOperationsRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.list_operations]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request, retry=retry, timeout=timeout, metadata=metadata,)
-
-        # Done; return the response.
-        return response
-
-    def get_operation(
-        self,
-        request: Optional[operations_pb2.GetOperationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operations_pb2.Operation:
-        r"""Gets the latest state of a long-running operation.
-
-        Args:
-            request (:class:`~.operations_pb2.GetOperationRequest`):
-                The request object. Request message for
-                `GetOperation` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.operations_pb2.Operation:
-                An ``Operation`` object.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.GetOperationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.get_operation]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request, retry=retry, timeout=timeout, metadata=metadata,)
-
-        # Done; return the response.
-        return response
-
-    def delete_operation(
-        self,
-        request: Optional[operations_pb2.DeleteOperationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> None:
-        r"""Deletes a long-running operation.
-
-        This method indicates that the client is no longer interested
-        in the operation result. It does not cancel the operation.
-        If the server doesn't support this method, it returns
-        `google.rpc.Code.UNIMPLEMENTED`.
-
-        Args:
-            request (:class:`~.operations_pb2.DeleteOperationRequest`):
-                The request object. Request message for
-                `DeleteOperation` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            None
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.DeleteOperationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.delete_operation]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
-
-    def cancel_operation(
-        self,
-        request: Optional[operations_pb2.CancelOperationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> None:
-        r"""Starts asynchronous cancellation on a long-running operation.
-
-        The server makes a best effort to cancel the operation, but success
-        is not guaranteed.  If the server doesn't support this method, it returns
-        `google.rpc.Code.UNIMPLEMENTED`.
-
-        Args:
-            request (:class:`~.operations_pb2.CancelOperationRequest`):
-                The request object. Request message for
-                `CancelOperation` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            None
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.CancelOperationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.cancel_operation]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
-
-    def get_location(
-        self,
-        request: Optional[locations_pb2.GetLocationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> locations_pb2.Location:
-        r"""Gets information about a location.
-
-        Args:
-            request (:class:`~.location_pb2.GetLocationRequest`):
-                The request object. Request message for
-                `GetLocation` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                 if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.location_pb2.Location:
-                Location object.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = locations_pb2.GetLocationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.get_location]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request, retry=retry, timeout=timeout, metadata=metadata,)
-
-        # Done; return the response.
-        return response
-
-    def list_locations(
-        self,
-        request: Optional[locations_pb2.ListLocationsRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> locations_pb2.ListLocationsResponse:
-        r"""Lists information about the supported locations for this service.
-
-        Args:
-            request (:class:`~.location_pb2.ListLocationsRequest`):
-                The request object. Request message for
-                `ListLocations` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                 if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.location_pb2.ListLocationsResponse:
-                Response message for ``ListLocations`` method.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = locations_pb2.ListLocationsRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.list_locations]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request, retry=retry, timeout=timeout, metadata=metadata,)
-
-        # Done; return the response.
-        return response
-
-
-DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(gapic_version=package_version.__version__)
-
-
-__all__ = (
-    "DataplexServiceClient",
-)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/dataplex_service/pagers.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/dataplex_service/pagers.py
deleted file mode 100644
index 394c731b72c9..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/dataplex_service/pagers.py
+++ /dev/null
@@ -1,1380 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from google.api_core import gapic_v1
-from google.api_core import retry as retries
-from google.api_core import retry_async as retries_async
-from typing import Any, AsyncIterator, Awaitable, Callable, Sequence, Tuple, Optional, Iterator, Union
-try:
-    OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None]
-    OptionalAsyncRetry = Union[retries_async.AsyncRetry, gapic_v1.method._MethodDefault, None]
-except AttributeError:  # pragma: NO COVER
-    OptionalRetry = Union[retries.Retry, object, None]  # type: ignore
-    OptionalAsyncRetry = Union[retries_async.AsyncRetry, object, None]  # type: ignore
-
-from google.cloud.dataplex_v1.types import analyze
-from google.cloud.dataplex_v1.types import resources
-from google.cloud.dataplex_v1.types import service
-from google.cloud.dataplex_v1.types import tasks
-
-
-class ListLakesPager:
-    """A pager for iterating through ``list_lakes`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.dataplex_v1.types.ListLakesResponse` object, and
-    provides an ``__iter__`` method to iterate through its
-    ``lakes`` field.
-
-    If there are more pages, the ``__iter__`` method will make additional
-    ``ListLakes`` requests and continue to iterate
-    through the ``lakes`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.dataplex_v1.types.ListLakesResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-    def __init__(self,
-            method: Callable[..., service.ListLakesResponse],
-            request: service.ListLakesRequest,
-            response: service.ListLakesResponse,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = ()):
-        """Instantiate the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.dataplex_v1.types.ListLakesRequest):
-                The initial request object.
-            response (google.cloud.dataplex_v1.types.ListLakesResponse):
-                The initial response object.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = service.ListLakesRequest(request)
-        self._response = response
-        self._retry = retry
-        self._timeout = timeout
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    def pages(self) -> Iterator[service.ListLakesResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
-            yield self._response
-
-    def __iter__(self) -> Iterator[resources.Lake]:
-        for page in self.pages:
-            yield from page.lakes
-
-    def __repr__(self) -> str:
-        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
-
-
-class ListLakesAsyncPager:
-    """A pager for iterating through ``list_lakes`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.dataplex_v1.types.ListLakesResponse` object, and
-    provides an ``__aiter__`` method to iterate through its
-    ``lakes`` field.
-
-    If there are more pages, the ``__aiter__`` method will make additional
-    ``ListLakes`` requests and continue to iterate
-    through the ``lakes`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.dataplex_v1.types.ListLakesResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-    def __init__(self,
-            method: Callable[..., Awaitable[service.ListLakesResponse]],
-            request: service.ListLakesRequest,
-            response: service.ListLakesResponse,
-            *,
-            retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = ()):
-        """Instantiates the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.dataplex_v1.types.ListLakesRequest):
-                The initial request object.
-            response (google.cloud.dataplex_v1.types.ListLakesResponse):
-                The initial response object.
-            retry (google.api_core.retry.AsyncRetry): Designation of what errors,
-                if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = service.ListLakesRequest(request)
-        self._response = response
-        self._retry = retry
-        self._timeout = timeout
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    async def pages(self) -> AsyncIterator[service.ListLakesResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = await self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
-            yield self._response
-    def __aiter__(self) -> AsyncIterator[resources.Lake]:
-        async def async_generator():
-            async for page in self.pages:
-                for response in page.lakes:
-                    yield response
-
-        return async_generator()
-
-    def __repr__(self) -> str:
-        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
-
-
-class ListLakeActionsPager:
-    """A pager for iterating through ``list_lake_actions`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.dataplex_v1.types.ListActionsResponse` object, and
-    provides an ``__iter__`` method to iterate through its
-    ``actions`` field.
-
-    If there are more pages, the ``__iter__`` method will make additional
-    ``ListLakeActions`` requests and continue to iterate
-    through the ``actions`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.dataplex_v1.types.ListActionsResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-    def __init__(self,
-            method: Callable[..., service.ListActionsResponse],
-            request: service.ListLakeActionsRequest,
-            response: service.ListActionsResponse,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = ()):
-        """Instantiate the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.dataplex_v1.types.ListLakeActionsRequest):
-                The initial request object.
-            response (google.cloud.dataplex_v1.types.ListActionsResponse):
-                The initial response object.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = service.ListLakeActionsRequest(request)
-        self._response = response
-        self._retry = retry
-        self._timeout = timeout
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    def pages(self) -> Iterator[service.ListActionsResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
-            yield self._response
-
-    def __iter__(self) -> Iterator[resources.Action]:
-        for page in self.pages:
-            yield from page.actions
-
-    def __repr__(self) -> str:
-        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
-
-
-class ListLakeActionsAsyncPager:
-    """A pager for iterating through ``list_lake_actions`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.dataplex_v1.types.ListActionsResponse` object, and
-    provides an ``__aiter__`` method to iterate through its
-    ``actions`` field.
-
-    If there are more pages, the ``__aiter__`` method will make additional
-    ``ListLakeActions`` requests and continue to iterate
-    through the ``actions`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.dataplex_v1.types.ListActionsResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-    def __init__(self,
-            method: Callable[..., Awaitable[service.ListActionsResponse]],
-            request: service.ListLakeActionsRequest,
-            response: service.ListActionsResponse,
-            *,
-            retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = ()):
-        """Instantiates the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.dataplex_v1.types.ListLakeActionsRequest):
-                The initial request object.
-            response (google.cloud.dataplex_v1.types.ListActionsResponse):
-                The initial response object.
-            retry (google.api_core.retry.AsyncRetry): Designation of what errors,
-                if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = service.ListLakeActionsRequest(request)
-        self._response = response
-        self._retry = retry
-        self._timeout = timeout
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    async def pages(self) -> AsyncIterator[service.ListActionsResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = await self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
-            yield self._response
-    def __aiter__(self) -> AsyncIterator[resources.Action]:
-        async def async_generator():
-            async for page in self.pages:
-                for response in page.actions:
-                    yield response
-
-        return async_generator()
-
-    def __repr__(self) -> str:
-        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
-
-
-class ListZonesPager:
-    """A pager for iterating through ``list_zones`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.dataplex_v1.types.ListZonesResponse` object, and
-    provides an ``__iter__`` method to iterate through its
-    ``zones`` field.
-
-    If there are more pages, the ``__iter__`` method will make additional
-    ``ListZones`` requests and continue to iterate
-    through the ``zones`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.dataplex_v1.types.ListZonesResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-    def __init__(self,
-            method: Callable[..., service.ListZonesResponse],
-            request: service.ListZonesRequest,
-            response: service.ListZonesResponse,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = ()):
-        """Instantiate the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.dataplex_v1.types.ListZonesRequest):
-                The initial request object.
-            response (google.cloud.dataplex_v1.types.ListZonesResponse):
-                The initial response object.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = service.ListZonesRequest(request)
-        self._response = response
-        self._retry = retry
-        self._timeout = timeout
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    def pages(self) -> Iterator[service.ListZonesResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
-            yield self._response
-
-    def __iter__(self) -> Iterator[resources.Zone]:
-        for page in self.pages:
-            yield from page.zones
-
-    def __repr__(self) -> str:
-        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
-
-
-class ListZonesAsyncPager:
-    """A pager for iterating through ``list_zones`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.dataplex_v1.types.ListZonesResponse` object, and
-    provides an ``__aiter__`` method to iterate through its
-    ``zones`` field.
-
-    If there are more pages, the ``__aiter__`` method will make additional
-    ``ListZones`` requests and continue to iterate
-    through the ``zones`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.dataplex_v1.types.ListZonesResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-    def __init__(self,
-            method: Callable[..., Awaitable[service.ListZonesResponse]],
-            request: service.ListZonesRequest,
-            response: service.ListZonesResponse,
-            *,
-            retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = ()):
-        """Instantiates the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.dataplex_v1.types.ListZonesRequest):
-                The initial request object.
-            response (google.cloud.dataplex_v1.types.ListZonesResponse):
-                The initial response object.
-            retry (google.api_core.retry.AsyncRetry): Designation of what errors,
-                if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = service.ListZonesRequest(request)
-        self._response = response
-        self._retry = retry
-        self._timeout = timeout
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    async def pages(self) -> AsyncIterator[service.ListZonesResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = await self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
-            yield self._response
-    def __aiter__(self) -> AsyncIterator[resources.Zone]:
-        async def async_generator():
-            async for page in self.pages:
-                for response in page.zones:
-                    yield response
-
-        return async_generator()
-
-    def __repr__(self) -> str:
-        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
-
-
-class ListZoneActionsPager:
-    """A pager for iterating through ``list_zone_actions`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.dataplex_v1.types.ListActionsResponse` object, and
-    provides an ``__iter__`` method to iterate through its
-    ``actions`` field.
-
-    If there are more pages, the ``__iter__`` method will make additional
-    ``ListZoneActions`` requests and continue to iterate
-    through the ``actions`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.dataplex_v1.types.ListActionsResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-    def __init__(self,
-            method: Callable[..., service.ListActionsResponse],
-            request: service.ListZoneActionsRequest,
-            response: service.ListActionsResponse,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = ()):
-        """Instantiate the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.dataplex_v1.types.ListZoneActionsRequest):
-                The initial request object.
-            response (google.cloud.dataplex_v1.types.ListActionsResponse):
-                The initial response object.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = service.ListZoneActionsRequest(request)
-        self._response = response
-        self._retry = retry
-        self._timeout = timeout
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    def pages(self) -> Iterator[service.ListActionsResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
-            yield self._response
-
-    def __iter__(self) -> Iterator[resources.Action]:
-        for page in self.pages:
-            yield from page.actions
-
-    def __repr__(self) -> str:
-        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
-
-
-class ListZoneActionsAsyncPager:
-    """A pager for iterating through ``list_zone_actions`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.dataplex_v1.types.ListActionsResponse` object, and
-    provides an ``__aiter__`` method to iterate through its
-    ``actions`` field.
-
-    If there are more pages, the ``__aiter__`` method will make additional
-    ``ListZoneActions`` requests and continue to iterate
-    through the ``actions`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.dataplex_v1.types.ListActionsResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-    def __init__(self,
-            method: Callable[..., Awaitable[service.ListActionsResponse]],
-            request: service.ListZoneActionsRequest,
-            response: service.ListActionsResponse,
-            *,
-            retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = ()):
-        """Instantiates the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.dataplex_v1.types.ListZoneActionsRequest):
-                The initial request object.
-            response (google.cloud.dataplex_v1.types.ListActionsResponse):
-                The initial response object.
-            retry (google.api_core.retry.AsyncRetry): Designation of what errors,
-                if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = service.ListZoneActionsRequest(request)
-        self._response = response
-        self._retry = retry
-        self._timeout = timeout
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    async def pages(self) -> AsyncIterator[service.ListActionsResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = await self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
-            yield self._response
-    def __aiter__(self) -> AsyncIterator[resources.Action]:
-        async def async_generator():
-            async for page in self.pages:
-                for response in page.actions:
-                    yield response
-
-        return async_generator()
-
-    def __repr__(self) -> str:
-        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
-
-
-class ListAssetsPager:
-    """A pager for iterating through ``list_assets`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.dataplex_v1.types.ListAssetsResponse` object, and
-    provides an ``__iter__`` method to iterate through its
-    ``assets`` field.
-
-    If there are more pages, the ``__iter__`` method will make additional
-    ``ListAssets`` requests and continue to iterate
-    through the ``assets`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.dataplex_v1.types.ListAssetsResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-    def __init__(self,
-            method: Callable[..., service.ListAssetsResponse],
-            request: service.ListAssetsRequest,
-            response: service.ListAssetsResponse,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = ()):
-        """Instantiate the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.dataplex_v1.types.ListAssetsRequest):
-                The initial request object.
-            response (google.cloud.dataplex_v1.types.ListAssetsResponse):
-                The initial response object.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = service.ListAssetsRequest(request)
-        self._response = response
-        self._retry = retry
-        self._timeout = timeout
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    def pages(self) -> Iterator[service.ListAssetsResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
-            yield self._response
-
-    def __iter__(self) -> Iterator[resources.Asset]:
-        for page in self.pages:
-            yield from page.assets
-
-    def __repr__(self) -> str:
-        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
-
-
-class ListAssetsAsyncPager:
-    """A pager for iterating through ``list_assets`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.dataplex_v1.types.ListAssetsResponse` object, and
-    provides an ``__aiter__`` method to iterate through its
-    ``assets`` field.
-
-    If there are more pages, the ``__aiter__`` method will make additional
-    ``ListAssets`` requests and continue to iterate
-    through the ``assets`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.dataplex_v1.types.ListAssetsResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-    def __init__(self,
-            method: Callable[..., Awaitable[service.ListAssetsResponse]],
-            request: service.ListAssetsRequest,
-            response: service.ListAssetsResponse,
-            *,
-            retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = ()):
-        """Instantiates the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.dataplex_v1.types.ListAssetsRequest):
-                The initial request object.
-            response (google.cloud.dataplex_v1.types.ListAssetsResponse):
-                The initial response object.
-            retry (google.api_core.retry.AsyncRetry): Designation of what errors,
-                if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = service.ListAssetsRequest(request)
-        self._response = response
-        self._retry = retry
-        self._timeout = timeout
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    async def pages(self) -> AsyncIterator[service.ListAssetsResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = await self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
-            yield self._response
-    def __aiter__(self) -> AsyncIterator[resources.Asset]:
-        async def async_generator():
-            async for page in self.pages:
-                for response in page.assets:
-                    yield response
-
-        return async_generator()
-
-    def __repr__(self) -> str:
-        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
-
-
-class ListAssetActionsPager:
-    """A pager for iterating through ``list_asset_actions`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.dataplex_v1.types.ListActionsResponse` object, and
-    provides an ``__iter__`` method to iterate through its
-    ``actions`` field.
-
-    If there are more pages, the ``__iter__`` method will make additional
-    ``ListAssetActions`` requests and continue to iterate
-    through the ``actions`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.dataplex_v1.types.ListActionsResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-    def __init__(self,
-            method: Callable[..., service.ListActionsResponse],
-            request: service.ListAssetActionsRequest,
-            response: service.ListActionsResponse,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = ()):
-        """Instantiate the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.dataplex_v1.types.ListAssetActionsRequest):
-                The initial request object.
-            response (google.cloud.dataplex_v1.types.ListActionsResponse):
-                The initial response object.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = service.ListAssetActionsRequest(request)
-        self._response = response
-        self._retry = retry
-        self._timeout = timeout
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    def pages(self) -> Iterator[service.ListActionsResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
-            yield self._response
-
-    def __iter__(self) -> Iterator[resources.Action]:
-        for page in self.pages:
-            yield from page.actions
-
-    def __repr__(self) -> str:
-        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
-
-
-class ListAssetActionsAsyncPager:
-    """A pager for iterating through ``list_asset_actions`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.dataplex_v1.types.ListActionsResponse` object, and
-    provides an ``__aiter__`` method to iterate through its
-    ``actions`` field.
-
-    If there are more pages, the ``__aiter__`` method will make additional
-    ``ListAssetActions`` requests and continue to iterate
-    through the ``actions`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.dataplex_v1.types.ListActionsResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-    def __init__(self,
-            method: Callable[..., Awaitable[service.ListActionsResponse]],
-            request: service.ListAssetActionsRequest,
-            response: service.ListActionsResponse,
-            *,
-            retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = ()):
-        """Instantiates the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.dataplex_v1.types.ListAssetActionsRequest):
-                The initial request object.
-            response (google.cloud.dataplex_v1.types.ListActionsResponse):
-                The initial response object.
-            retry (google.api_core.retry.AsyncRetry): Designation of what errors,
-                if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = service.ListAssetActionsRequest(request)
-        self._response = response
-        self._retry = retry
-        self._timeout = timeout
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    async def pages(self) -> AsyncIterator[service.ListActionsResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = await self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
-            yield self._response
-    def __aiter__(self) -> AsyncIterator[resources.Action]:
-        async def async_generator():
-            async for page in self.pages:
-                for response in page.actions:
-                    yield response
-
-        return async_generator()
-
-    def __repr__(self) -> str:
-        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
-
-
-class ListTasksPager:
-    """A pager for iterating through ``list_tasks`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.dataplex_v1.types.ListTasksResponse` object, and
-    provides an ``__iter__`` method to iterate through its
-    ``tasks`` field.
-
-    If there are more pages, the ``__iter__`` method will make additional
-    ``ListTasks`` requests and continue to iterate
-    through the ``tasks`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.dataplex_v1.types.ListTasksResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-    def __init__(self,
-            method: Callable[..., service.ListTasksResponse],
-            request: service.ListTasksRequest,
-            response: service.ListTasksResponse,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = ()):
-        """Instantiate the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.dataplex_v1.types.ListTasksRequest):
-                The initial request object.
-            response (google.cloud.dataplex_v1.types.ListTasksResponse):
-                The initial response object.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = service.ListTasksRequest(request)
-        self._response = response
-        self._retry = retry
-        self._timeout = timeout
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    def pages(self) -> Iterator[service.ListTasksResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
-            yield self._response
-
-    def __iter__(self) -> Iterator[tasks.Task]:
-        for page in self.pages:
-            yield from page.tasks
-
-    def __repr__(self) -> str:
-        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
-
-
-class ListTasksAsyncPager:
-    """A pager for iterating through ``list_tasks`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.dataplex_v1.types.ListTasksResponse` object, and
-    provides an ``__aiter__`` method to iterate through its
-    ``tasks`` field.
-
-    If there are more pages, the ``__aiter__`` method will make additional
-    ``ListTasks`` requests and continue to iterate
-    through the ``tasks`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.dataplex_v1.types.ListTasksResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-    def __init__(self,
-            method: Callable[..., Awaitable[service.ListTasksResponse]],
-            request: service.ListTasksRequest,
-            response: service.ListTasksResponse,
-            *,
-            retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = ()):
-        """Instantiates the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.dataplex_v1.types.ListTasksRequest):
-                The initial request object.
-            response (google.cloud.dataplex_v1.types.ListTasksResponse):
-                The initial response object.
-            retry (google.api_core.retry.AsyncRetry): Designation of what errors,
-                if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = service.ListTasksRequest(request)
-        self._response = response
-        self._retry = retry
-        self._timeout = timeout
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    async def pages(self) -> AsyncIterator[service.ListTasksResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = await self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
-            yield self._response
-    def __aiter__(self) -> AsyncIterator[tasks.Task]:
-        async def async_generator():
-            async for page in self.pages:
-                for response in page.tasks:
-                    yield response
-
-        return async_generator()
-
-    def __repr__(self) -> str:
-        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
-
-
-class ListJobsPager:
-    """A pager for iterating through ``list_jobs`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.dataplex_v1.types.ListJobsResponse` object, and
-    provides an ``__iter__`` method to iterate through its
-    ``jobs`` field.
-
-    If there are more pages, the ``__iter__`` method will make additional
-    ``ListJobs`` requests and continue to iterate
-    through the ``jobs`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.dataplex_v1.types.ListJobsResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-    def __init__(self,
-            method: Callable[..., service.ListJobsResponse],
-            request: service.ListJobsRequest,
-            response: service.ListJobsResponse,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = ()):
-        """Instantiate the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.dataplex_v1.types.ListJobsRequest):
-                The initial request object.
-            response (google.cloud.dataplex_v1.types.ListJobsResponse):
-                The initial response object.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = service.ListJobsRequest(request)
-        self._response = response
-        self._retry = retry
-        self._timeout = timeout
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    def pages(self) -> Iterator[service.ListJobsResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
-            yield self._response
-
-    def __iter__(self) -> Iterator[tasks.Job]:
-        for page in self.pages:
-            yield from page.jobs
-
-    def __repr__(self) -> str:
-        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
-
-
-class ListJobsAsyncPager:
-    """A pager for iterating through ``list_jobs`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.dataplex_v1.types.ListJobsResponse` object, and
-    provides an ``__aiter__`` method to iterate through its
-    ``jobs`` field.
-
-    If there are more pages, the ``__aiter__`` method will make additional
-    ``ListJobs`` requests and continue to iterate
-    through the ``jobs`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.dataplex_v1.types.ListJobsResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-    def __init__(self,
-            method: Callable[..., Awaitable[service.ListJobsResponse]],
-            request: service.ListJobsRequest,
-            response: service.ListJobsResponse,
-            *,
-            retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = ()):
-        """Instantiates the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.dataplex_v1.types.ListJobsRequest):
-                The initial request object.
-            response (google.cloud.dataplex_v1.types.ListJobsResponse):
-                The initial response object.
-            retry (google.api_core.retry.AsyncRetry): Designation of what errors,
-                if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = service.ListJobsRequest(request)
-        self._response = response
-        self._retry = retry
-        self._timeout = timeout
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    async def pages(self) -> AsyncIterator[service.ListJobsResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = await self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
-            yield self._response
-    def __aiter__(self) -> AsyncIterator[tasks.Job]:
-        async def async_generator():
-            async for page in self.pages:
-                for response in page.jobs:
-                    yield response
-
-        return async_generator()
-
-    def __repr__(self) -> str:
-        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
-
-
-class ListEnvironmentsPager:
-    """A pager for iterating through ``list_environments`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.dataplex_v1.types.ListEnvironmentsResponse` object, and
-    provides an ``__iter__`` method to iterate through its
-    ``environments`` field.
-
-    If there are more pages, the ``__iter__`` method will make additional
-    ``ListEnvironments`` requests and continue to iterate
-    through the ``environments`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.dataplex_v1.types.ListEnvironmentsResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-    def __init__(self,
-            method: Callable[..., service.ListEnvironmentsResponse],
-            request: service.ListEnvironmentsRequest,
-            response: service.ListEnvironmentsResponse,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = ()):
-        """Instantiate the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.dataplex_v1.types.ListEnvironmentsRequest):
-                The initial request object.
-            response (google.cloud.dataplex_v1.types.ListEnvironmentsResponse):
-                The initial response object.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = service.ListEnvironmentsRequest(request)
-        self._response = response
-        self._retry = retry
-        self._timeout = timeout
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    def pages(self) -> Iterator[service.ListEnvironmentsResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
-            yield self._response
-
-    def __iter__(self) -> Iterator[analyze.Environment]:
-        for page in self.pages:
-            yield from page.environments
-
-    def __repr__(self) -> str:
-        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
-
-
-class ListEnvironmentsAsyncPager:
-    """A pager for iterating through ``list_environments`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.dataplex_v1.types.ListEnvironmentsResponse` object, and
-    provides an ``__aiter__`` method to iterate through its
-    ``environments`` field.
-
-    If there are more pages, the ``__aiter__`` method will make additional
-    ``ListEnvironments`` requests and continue to iterate
-    through the ``environments`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.dataplex_v1.types.ListEnvironmentsResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-    def __init__(self,
-            method: Callable[..., Awaitable[service.ListEnvironmentsResponse]],
-            request: service.ListEnvironmentsRequest,
-            response: service.ListEnvironmentsResponse,
-            *,
-            retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = ()):
-        """Instantiates the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.dataplex_v1.types.ListEnvironmentsRequest):
-                The initial request object.
-            response (google.cloud.dataplex_v1.types.ListEnvironmentsResponse):
-                The initial response object.
-            retry (google.api_core.retry.AsyncRetry): Designation of what errors,
-                if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = service.ListEnvironmentsRequest(request)
-        self._response = response
-        self._retry = retry
-        self._timeout = timeout
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    async def pages(self) -> AsyncIterator[service.ListEnvironmentsResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = await self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
-            yield self._response
-    def __aiter__(self) -> AsyncIterator[analyze.Environment]:
-        async def async_generator():
-            async for page in self.pages:
-                for response in page.environments:
-                    yield response
-
-        return async_generator()
-
-    def __repr__(self) -> str:
-        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
-
-
-class ListSessionsPager:
-    """A pager for iterating through ``list_sessions`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.dataplex_v1.types.ListSessionsResponse` object, and
-    provides an ``__iter__`` method to iterate through its
-    ``sessions`` field.
-
-    If there are more pages, the ``__iter__`` method will make additional
-    ``ListSessions`` requests and continue to iterate
-    through the ``sessions`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.dataplex_v1.types.ListSessionsResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-    def __init__(self,
-            method: Callable[..., service.ListSessionsResponse],
-            request: service.ListSessionsRequest,
-            response: service.ListSessionsResponse,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = ()):
-        """Instantiate the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.dataplex_v1.types.ListSessionsRequest):
-                The initial request object.
-            response (google.cloud.dataplex_v1.types.ListSessionsResponse):
-                The initial response object.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = service.ListSessionsRequest(request)
-        self._response = response
-        self._retry = retry
-        self._timeout = timeout
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    def pages(self) -> Iterator[service.ListSessionsResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
-            yield self._response
-
-    def __iter__(self) -> Iterator[analyze.Session]:
-        for page in self.pages:
-            yield from page.sessions
-
-    def __repr__(self) -> str:
-        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
-
-
-class ListSessionsAsyncPager:
-    """A pager for iterating through ``list_sessions`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.dataplex_v1.types.ListSessionsResponse` object, and
-    provides an ``__aiter__`` method to iterate through its
-    ``sessions`` field.
-
-    If there are more pages, the ``__aiter__`` method will make additional
-    ``ListSessions`` requests and continue to iterate
-    through the ``sessions`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.dataplex_v1.types.ListSessionsResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-    def __init__(self,
-            method: Callable[..., Awaitable[service.ListSessionsResponse]],
-            request: service.ListSessionsRequest,
-            response: service.ListSessionsResponse,
-            *,
-            retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = ()):
-        """Instantiates the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.dataplex_v1.types.ListSessionsRequest):
-                The initial request object.
-            response (google.cloud.dataplex_v1.types.ListSessionsResponse):
-                The initial response object.
-            retry (google.api_core.retry.AsyncRetry): Designation of what errors,
-                if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = service.ListSessionsRequest(request)
-        self._response = response
-        self._retry = retry
-        self._timeout = timeout
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    async def pages(self) -> AsyncIterator[service.ListSessionsResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = await self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
-            yield self._response
-    def __aiter__(self) -> AsyncIterator[analyze.Session]:
-        async def async_generator():
-            async for page in self.pages:
-                for response in page.sessions:
-                    yield response
-
-        return async_generator()
-
-    def __repr__(self) -> str:
-        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/dataplex_service/transports/README.rst b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/dataplex_service/transports/README.rst
deleted file mode 100644
index a70e22115784..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/dataplex_service/transports/README.rst
+++ /dev/null
@@ -1,9 +0,0 @@
-
-transport inheritance structure
-_______________________________
-
-`DataplexServiceTransport` is the ABC for all transports.
-- public child `DataplexServiceGrpcTransport` for sync gRPC transport (defined in `grpc.py`).
-- public child `DataplexServiceGrpcAsyncIOTransport` for async gRPC transport (defined in `grpc_asyncio.py`).
-- private child `_BaseDataplexServiceRestTransport` for base REST transport with inner classes `_BaseMETHOD` (defined in `rest_base.py`).
-- public child `DataplexServiceRestTransport` for sync REST transport with inner classes `METHOD` derived from the parent's corresponding `_BaseMETHOD` classes (defined in `rest.py`).
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/dataplex_service/transports/__init__.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/dataplex_service/transports/__init__.py
deleted file mode 100644
index 4d9372a1b1ae..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/dataplex_service/transports/__init__.py
+++ /dev/null
@@ -1,33 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from collections import OrderedDict
-from typing import Dict, Type
-
-from .base import DataplexServiceTransport
-from .grpc import DataplexServiceGrpcTransport
-from .grpc_asyncio import DataplexServiceGrpcAsyncIOTransport
-
-
-# Compile a registry of transports.
-_transport_registry = OrderedDict()  # type: Dict[str, Type[DataplexServiceTransport]]
-_transport_registry['grpc'] = DataplexServiceGrpcTransport
-_transport_registry['grpc_asyncio'] = DataplexServiceGrpcAsyncIOTransport
-
-__all__ = (
-    'DataplexServiceTransport',
-    'DataplexServiceGrpcTransport',
-    'DataplexServiceGrpcAsyncIOTransport',
-)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/dataplex_service/transports/base.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/dataplex_service/transports/base.py
deleted file mode 100644
index 4a351d5dd59b..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/dataplex_service/transports/base.py
+++ /dev/null
@@ -1,833 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-import abc
-from typing import Awaitable, Callable, Dict, Optional, Sequence, Union
-
-from google.cloud.dataplex_v1 import gapic_version as package_version
-
-import google.auth  # type: ignore
-import google.api_core
-from google.api_core import exceptions as core_exceptions
-from google.api_core import gapic_v1
-from google.api_core import retry as retries
-from google.api_core import operations_v1
-from google.auth import credentials as ga_credentials  # type: ignore
-from google.oauth2 import service_account # type: ignore
-
-from google.cloud.dataplex_v1.types import analyze
-from google.cloud.dataplex_v1.types import resources
-from google.cloud.dataplex_v1.types import service
-from google.cloud.dataplex_v1.types import tasks
-from google.cloud.location import locations_pb2 # type: ignore
-from google.iam.v1 import iam_policy_pb2  # type: ignore
-from google.iam.v1 import policy_pb2  # type: ignore
-from google.longrunning import operations_pb2 # type: ignore
-from google.protobuf import empty_pb2  # type: ignore
-
-DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(gapic_version=package_version.__version__)
-
-
-class DataplexServiceTransport(abc.ABC):
-    """Abstract transport class for DataplexService."""
-
-    AUTH_SCOPES = (
-        'https://www.googleapis.com/auth/cloud-platform',
-    )
-
-    DEFAULT_HOST: str = 'dataplex.googleapis.com'
-    def __init__(
-            self, *,
-            host: str = DEFAULT_HOST,
-            credentials: Optional[ga_credentials.Credentials] = None,
-            credentials_file: Optional[str] = None,
-            scopes: Optional[Sequence[str]] = None,
-            quota_project_id: Optional[str] = None,
-            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-            always_use_jwt_access: Optional[bool] = False,
-            api_audience: Optional[str] = None,
-            **kwargs,
-            ) -> None:
-        """Instantiate the transport.
-
-        Args:
-            host (Optional[str]):
-                 The hostname to connect to (default: 'dataplex.googleapis.com').
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-                This argument is mutually exclusive with credentials.
-            scopes (Optional[Sequence[str]]): A list of scopes.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
-                The client info used to send a user-agent string along with
-                API requests. If ``None``, then default info will be used.
-                Generally, you only need to set this if you're developing
-                your own client library.
-            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
-                be used for service account credentials.
-        """
-
-        scopes_kwargs = {"scopes": scopes, "default_scopes": self.AUTH_SCOPES}
-
-        # Save the scopes.
-        self._scopes = scopes
-        if not hasattr(self, "_ignore_credentials"):
-            self._ignore_credentials: bool = False
-
-        # If no credentials are provided, then determine the appropriate
-        # defaults.
-        if credentials and credentials_file:
-            raise core_exceptions.DuplicateCredentialArgs("'credentials_file' and 'credentials' are mutually exclusive")
-
-        if credentials_file is not None:
-            credentials, _ = google.auth.load_credentials_from_file(
-                                credentials_file,
-                                **scopes_kwargs,
-                                quota_project_id=quota_project_id
-                            )
-        elif credentials is None and not self._ignore_credentials:
-            credentials, _ = google.auth.default(**scopes_kwargs, quota_project_id=quota_project_id)
-            # Don't apply audience if the credentials file passed from user.
-            if hasattr(credentials, "with_gdch_audience"):
-                credentials = credentials.with_gdch_audience(api_audience if api_audience else host)
-
-        # If the credentials are service account credentials, then always try to use self signed JWT.
-        if always_use_jwt_access and isinstance(credentials, service_account.Credentials) and hasattr(service_account.Credentials, "with_always_use_jwt_access"):
-            credentials = credentials.with_always_use_jwt_access(True)
-
-        # Save the credentials.
-        self._credentials = credentials
-
-        # Save the hostname. Default to port 443 (HTTPS) if none is specified.
-        if ':' not in host:
-            host += ':443'
-        self._host = host
-
-    @property
-    def host(self):
-        return self._host
-
-    def _prep_wrapped_messages(self, client_info):
-        # Precompute the wrapped methods.
-        self._wrapped_methods = {
-            self.create_lake: gapic_v1.method.wrap_method(
-                self.create_lake,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.update_lake: gapic_v1.method.wrap_method(
-                self.update_lake,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.delete_lake: gapic_v1.method.wrap_method(
-                self.delete_lake,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.list_lakes: gapic_v1.method.wrap_method(
-                self.list_lakes,
-                default_retry=retries.Retry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.get_lake: gapic_v1.method.wrap_method(
-                self.get_lake,
-                default_retry=retries.Retry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.list_lake_actions: gapic_v1.method.wrap_method(
-                self.list_lake_actions,
-                default_retry=retries.Retry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.create_zone: gapic_v1.method.wrap_method(
-                self.create_zone,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.update_zone: gapic_v1.method.wrap_method(
-                self.update_zone,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.delete_zone: gapic_v1.method.wrap_method(
-                self.delete_zone,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.list_zones: gapic_v1.method.wrap_method(
-                self.list_zones,
-                default_retry=retries.Retry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.get_zone: gapic_v1.method.wrap_method(
-                self.get_zone,
-                default_retry=retries.Retry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.list_zone_actions: gapic_v1.method.wrap_method(
-                self.list_zone_actions,
-                default_retry=retries.Retry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.create_asset: gapic_v1.method.wrap_method(
-                self.create_asset,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.update_asset: gapic_v1.method.wrap_method(
-                self.update_asset,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.delete_asset: gapic_v1.method.wrap_method(
-                self.delete_asset,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.list_assets: gapic_v1.method.wrap_method(
-                self.list_assets,
-                default_retry=retries.Retry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.get_asset: gapic_v1.method.wrap_method(
-                self.get_asset,
-                default_retry=retries.Retry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.list_asset_actions: gapic_v1.method.wrap_method(
-                self.list_asset_actions,
-                default_retry=retries.Retry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.create_task: gapic_v1.method.wrap_method(
-                self.create_task,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.update_task: gapic_v1.method.wrap_method(
-                self.update_task,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.delete_task: gapic_v1.method.wrap_method(
-                self.delete_task,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.list_tasks: gapic_v1.method.wrap_method(
-                self.list_tasks,
-                default_retry=retries.Retry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.get_task: gapic_v1.method.wrap_method(
-                self.get_task,
-                default_retry=retries.Retry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.list_jobs: gapic_v1.method.wrap_method(
-                self.list_jobs,
-                default_retry=retries.Retry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.run_task: gapic_v1.method.wrap_method(
-                self.run_task,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.get_job: gapic_v1.method.wrap_method(
-                self.get_job,
-                default_retry=retries.Retry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.cancel_job: gapic_v1.method.wrap_method(
-                self.cancel_job,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.create_environment: gapic_v1.method.wrap_method(
-                self.create_environment,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.update_environment: gapic_v1.method.wrap_method(
-                self.update_environment,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.delete_environment: gapic_v1.method.wrap_method(
-                self.delete_environment,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.list_environments: gapic_v1.method.wrap_method(
-                self.list_environments,
-                default_retry=retries.Retry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.get_environment: gapic_v1.method.wrap_method(
-                self.get_environment,
-                default_retry=retries.Retry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.list_sessions: gapic_v1.method.wrap_method(
-                self.list_sessions,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.get_location: gapic_v1.method.wrap_method(
-                self.get_location,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.list_locations: gapic_v1.method.wrap_method(
-                self.list_locations,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.cancel_operation: gapic_v1.method.wrap_method(
-                self.cancel_operation,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.delete_operation: gapic_v1.method.wrap_method(
-                self.delete_operation,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.get_operation: gapic_v1.method.wrap_method(
-                self.get_operation,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.list_operations: gapic_v1.method.wrap_method(
-                self.list_operations,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-         }
-
-    def close(self):
-        """Closes resources associated with the transport.
-
-       .. warning::
-            Only call this method if the transport is NOT shared
-            with other clients - this may cause errors in other clients!
-        """
-        raise NotImplementedError()
-
-    @property
-    def operations_client(self):
-        """Return the client designed to process long-running operations."""
-        raise NotImplementedError()
-
-    @property
-    def create_lake(self) -> Callable[
-            [service.CreateLakeRequest],
-            Union[
-                operations_pb2.Operation,
-                Awaitable[operations_pb2.Operation]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def update_lake(self) -> Callable[
-            [service.UpdateLakeRequest],
-            Union[
-                operations_pb2.Operation,
-                Awaitable[operations_pb2.Operation]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def delete_lake(self) -> Callable[
-            [service.DeleteLakeRequest],
-            Union[
-                operations_pb2.Operation,
-                Awaitable[operations_pb2.Operation]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def list_lakes(self) -> Callable[
-            [service.ListLakesRequest],
-            Union[
-                service.ListLakesResponse,
-                Awaitable[service.ListLakesResponse]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def get_lake(self) -> Callable[
-            [service.GetLakeRequest],
-            Union[
-                resources.Lake,
-                Awaitable[resources.Lake]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def list_lake_actions(self) -> Callable[
-            [service.ListLakeActionsRequest],
-            Union[
-                service.ListActionsResponse,
-                Awaitable[service.ListActionsResponse]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def create_zone(self) -> Callable[
-            [service.CreateZoneRequest],
-            Union[
-                operations_pb2.Operation,
-                Awaitable[operations_pb2.Operation]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def update_zone(self) -> Callable[
-            [service.UpdateZoneRequest],
-            Union[
-                operations_pb2.Operation,
-                Awaitable[operations_pb2.Operation]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def delete_zone(self) -> Callable[
-            [service.DeleteZoneRequest],
-            Union[
-                operations_pb2.Operation,
-                Awaitable[operations_pb2.Operation]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def list_zones(self) -> Callable[
-            [service.ListZonesRequest],
-            Union[
-                service.ListZonesResponse,
-                Awaitable[service.ListZonesResponse]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def get_zone(self) -> Callable[
-            [service.GetZoneRequest],
-            Union[
-                resources.Zone,
-                Awaitable[resources.Zone]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def list_zone_actions(self) -> Callable[
-            [service.ListZoneActionsRequest],
-            Union[
-                service.ListActionsResponse,
-                Awaitable[service.ListActionsResponse]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def create_asset(self) -> Callable[
-            [service.CreateAssetRequest],
-            Union[
-                operations_pb2.Operation,
-                Awaitable[operations_pb2.Operation]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def update_asset(self) -> Callable[
-            [service.UpdateAssetRequest],
-            Union[
-                operations_pb2.Operation,
-                Awaitable[operations_pb2.Operation]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def delete_asset(self) -> Callable[
-            [service.DeleteAssetRequest],
-            Union[
-                operations_pb2.Operation,
-                Awaitable[operations_pb2.Operation]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def list_assets(self) -> Callable[
-            [service.ListAssetsRequest],
-            Union[
-                service.ListAssetsResponse,
-                Awaitable[service.ListAssetsResponse]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def get_asset(self) -> Callable[
-            [service.GetAssetRequest],
-            Union[
-                resources.Asset,
-                Awaitable[resources.Asset]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def list_asset_actions(self) -> Callable[
-            [service.ListAssetActionsRequest],
-            Union[
-                service.ListActionsResponse,
-                Awaitable[service.ListActionsResponse]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def create_task(self) -> Callable[
-            [service.CreateTaskRequest],
-            Union[
-                operations_pb2.Operation,
-                Awaitable[operations_pb2.Operation]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def update_task(self) -> Callable[
-            [service.UpdateTaskRequest],
-            Union[
-                operations_pb2.Operation,
-                Awaitable[operations_pb2.Operation]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def delete_task(self) -> Callable[
-            [service.DeleteTaskRequest],
-            Union[
-                operations_pb2.Operation,
-                Awaitable[operations_pb2.Operation]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def list_tasks(self) -> Callable[
-            [service.ListTasksRequest],
-            Union[
-                service.ListTasksResponse,
-                Awaitable[service.ListTasksResponse]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def get_task(self) -> Callable[
-            [service.GetTaskRequest],
-            Union[
-                tasks.Task,
-                Awaitable[tasks.Task]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def list_jobs(self) -> Callable[
-            [service.ListJobsRequest],
-            Union[
-                service.ListJobsResponse,
-                Awaitable[service.ListJobsResponse]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def run_task(self) -> Callable[
-            [service.RunTaskRequest],
-            Union[
-                service.RunTaskResponse,
-                Awaitable[service.RunTaskResponse]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def get_job(self) -> Callable[
-            [service.GetJobRequest],
-            Union[
-                tasks.Job,
-                Awaitable[tasks.Job]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def cancel_job(self) -> Callable[
-            [service.CancelJobRequest],
-            Union[
-                empty_pb2.Empty,
-                Awaitable[empty_pb2.Empty]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def create_environment(self) -> Callable[
-            [service.CreateEnvironmentRequest],
-            Union[
-                operations_pb2.Operation,
-                Awaitable[operations_pb2.Operation]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def update_environment(self) -> Callable[
-            [service.UpdateEnvironmentRequest],
-            Union[
-                operations_pb2.Operation,
-                Awaitable[operations_pb2.Operation]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def delete_environment(self) -> Callable[
-            [service.DeleteEnvironmentRequest],
-            Union[
-                operations_pb2.Operation,
-                Awaitable[operations_pb2.Operation]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def list_environments(self) -> Callable[
-            [service.ListEnvironmentsRequest],
-            Union[
-                service.ListEnvironmentsResponse,
-                Awaitable[service.ListEnvironmentsResponse]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def get_environment(self) -> Callable[
-            [service.GetEnvironmentRequest],
-            Union[
-                analyze.Environment,
-                Awaitable[analyze.Environment]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def list_sessions(self) -> Callable[
-            [service.ListSessionsRequest],
-            Union[
-                service.ListSessionsResponse,
-                Awaitable[service.ListSessionsResponse]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def list_operations(
-        self,
-    ) -> Callable[
-        [operations_pb2.ListOperationsRequest],
-        Union[operations_pb2.ListOperationsResponse, Awaitable[operations_pb2.ListOperationsResponse]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def get_operation(
-        self,
-    ) -> Callable[
-        [operations_pb2.GetOperationRequest],
-        Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def cancel_operation(
-        self,
-    ) -> Callable[
-        [operations_pb2.CancelOperationRequest],
-        None,
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def delete_operation(
-        self,
-    ) -> Callable[
-        [operations_pb2.DeleteOperationRequest],
-        None,
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def get_location(self,
-    ) -> Callable[
-        [locations_pb2.GetLocationRequest],
-        Union[locations_pb2.Location, Awaitable[locations_pb2.Location]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def list_locations(self,
-    ) -> Callable[
-        [locations_pb2.ListLocationsRequest],
-        Union[locations_pb2.ListLocationsResponse, Awaitable[locations_pb2.ListLocationsResponse]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def kind(self) -> str:
-        raise NotImplementedError()
-
-
-__all__ = (
-    'DataplexServiceTransport',
-)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/dataplex_service/transports/grpc.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/dataplex_service/transports/grpc.py
deleted file mode 100644
index 8760eb831d23..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/dataplex_service/transports/grpc.py
+++ /dev/null
@@ -1,1247 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-import warnings
-from typing import Callable, Dict, Optional, Sequence, Tuple, Union
-
-from google.api_core import grpc_helpers
-from google.api_core import operations_v1
-from google.api_core import gapic_v1
-import google.auth                         # type: ignore
-from google.auth import credentials as ga_credentials  # type: ignore
-from google.auth.transport.grpc import SslCredentials  # type: ignore
-
-import grpc  # type: ignore
-
-from google.cloud.dataplex_v1.types import analyze
-from google.cloud.dataplex_v1.types import resources
-from google.cloud.dataplex_v1.types import service
-from google.cloud.dataplex_v1.types import tasks
-from google.cloud.location import locations_pb2 # type: ignore
-from google.iam.v1 import iam_policy_pb2  # type: ignore
-from google.iam.v1 import policy_pb2  # type: ignore
-from google.longrunning import operations_pb2 # type: ignore
-from google.protobuf import empty_pb2  # type: ignore
-from .base import DataplexServiceTransport, DEFAULT_CLIENT_INFO
-
-
-class DataplexServiceGrpcTransport(DataplexServiceTransport):
-    """gRPC backend transport for DataplexService.
-
-    Dataplex service provides data lakes as a service. The
-    primary resources offered by this service are Lakes, Zones and
-    Assets which collectively allow a data administrator to
-    organize, manage, secure and catalog data across their
-    organization located across cloud projects in a variety of
-    storage systems including Cloud Storage and BigQuery.
-
-    This class defines the same methods as the primary client, so the
-    primary client can load the underlying transport implementation
-    and call it.
-
-    It sends protocol buffers over the wire using gRPC (which is built on
-    top of HTTP/2); the ``grpcio`` package must be installed.
-    """
-    _stubs: Dict[str, Callable]
-
-    def __init__(self, *,
-            host: str = 'dataplex.googleapis.com',
-            credentials: Optional[ga_credentials.Credentials] = None,
-            credentials_file: Optional[str] = None,
-            scopes: Optional[Sequence[str]] = None,
-            channel: Optional[Union[grpc.Channel, Callable[..., grpc.Channel]]] = None,
-            api_mtls_endpoint: Optional[str] = None,
-            client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
-            ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None,
-            client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
-            quota_project_id: Optional[str] = None,
-            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-            always_use_jwt_access: Optional[bool] = False,
-            api_audience: Optional[str] = None,
-            ) -> None:
-        """Instantiate the transport.
-
-        Args:
-            host (Optional[str]):
-                 The hostname to connect to (default: 'dataplex.googleapis.com').
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-                This argument is ignored if a ``channel`` instance is provided.
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-                This argument is ignored if a ``channel`` instance is provided.
-            scopes (Optional(Sequence[str])): A list of scopes. This argument is
-                ignored if a ``channel`` instance is provided.
-            channel (Optional[Union[grpc.Channel, Callable[..., grpc.Channel]]]):
-                A ``Channel`` instance through which to make calls, or a Callable
-                that constructs and returns one. If set to None, ``self.create_channel``
-                is used to create the channel. If a Callable is given, it will be called
-                with the same arguments as used in ``self.create_channel``.
-            api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint.
-                If provided, it overrides the ``host`` argument and tries to create
-                a mutual TLS channel with client SSL credentials from
-                ``client_cert_source`` or application default SSL credentials.
-            client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]):
-                Deprecated. A callback to provide client SSL certificate bytes and
-                private key bytes, both in PEM format. It is ignored if
-                ``api_mtls_endpoint`` is None.
-            ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials
-                for the grpc channel. It is ignored if a ``channel`` instance is provided.
-            client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]):
-                A callback to provide client certificate bytes and private key bytes,
-                both in PEM format. It is used to configure a mutual TLS channel. It is
-                ignored if a ``channel`` instance or ``ssl_channel_credentials`` is provided.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
-                The client info used to send a user-agent string along with
-                API requests. If ``None``, then default info will be used.
-                Generally, you only need to set this if you're developing
-                your own client library.
-            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
-                be used for service account credentials.
-
-        Raises:
-          google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport
-              creation failed for any reason.
-          google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials``
-              and ``credentials_file`` are passed.
-        """
-        self._grpc_channel = None
-        self._ssl_channel_credentials = ssl_channel_credentials
-        self._stubs: Dict[str, Callable] = {}
-        self._operations_client: Optional[operations_v1.OperationsClient] = None
-
-        if api_mtls_endpoint:
-            warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning)
-        if client_cert_source:
-            warnings.warn("client_cert_source is deprecated", DeprecationWarning)
-
-        if isinstance(channel, grpc.Channel):
-            # Ignore credentials if a channel was passed.
-            credentials = None
-            self._ignore_credentials = True
-            # If a channel was explicitly provided, set it.
-            self._grpc_channel = channel
-            self._ssl_channel_credentials = None
-
-        else:
-            if api_mtls_endpoint:
-                host = api_mtls_endpoint
-
-                # Create SSL credentials with client_cert_source or application
-                # default SSL credentials.
-                if client_cert_source:
-                    cert, key = client_cert_source()
-                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
-                        certificate_chain=cert, private_key=key
-                    )
-                else:
-                    self._ssl_channel_credentials = SslCredentials().ssl_credentials
-
-            else:
-                if client_cert_source_for_mtls and not ssl_channel_credentials:
-                    cert, key = client_cert_source_for_mtls()
-                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
-                        certificate_chain=cert, private_key=key
-                    )
-
-        # The base transport sets the host, credentials and scopes
-        super().__init__(
-            host=host,
-            credentials=credentials,
-            credentials_file=credentials_file,
-            scopes=scopes,
-            quota_project_id=quota_project_id,
-            client_info=client_info,
-            always_use_jwt_access=always_use_jwt_access,
-            api_audience=api_audience,
-        )
-
-        if not self._grpc_channel:
-            # initialize with the provided callable or the default channel
-            channel_init = channel or type(self).create_channel
-            self._grpc_channel = channel_init(
-                self._host,
-                # use the credentials which are saved
-                credentials=self._credentials,
-                # Set ``credentials_file`` to ``None`` here as
-                # the credentials that we saved earlier should be used.
-                credentials_file=None,
-                scopes=self._scopes,
-                ssl_credentials=self._ssl_channel_credentials,
-                quota_project_id=quota_project_id,
-                options=[
-                    ("grpc.max_send_message_length", -1),
-                    ("grpc.max_receive_message_length", -1),
-                ],
-            )
-
-        # Wrap messages. This must be done after self._grpc_channel exists
-        self._prep_wrapped_messages(client_info)
-
-    @classmethod
-    def create_channel(cls,
-                       host: str = 'dataplex.googleapis.com',
-                       credentials: Optional[ga_credentials.Credentials] = None,
-                       credentials_file: Optional[str] = None,
-                       scopes: Optional[Sequence[str]] = None,
-                       quota_project_id: Optional[str] = None,
-                       **kwargs) -> grpc.Channel:
-        """Create and return a gRPC channel object.
-        Args:
-            host (Optional[str]): The host for the channel to use.
-            credentials (Optional[~.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify this application to the service. If
-                none are specified, the client will attempt to ascertain
-                the credentials from the environment.
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-                This argument is mutually exclusive with credentials.
-            scopes (Optional[Sequence[str]]): A optional list of scopes needed for this
-                service. These are only used when credentials are not specified and
-                are passed to :func:`google.auth.default`.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            kwargs (Optional[dict]): Keyword arguments, which are passed to the
-                channel creation.
-        Returns:
-            grpc.Channel: A gRPC channel object.
-
-        Raises:
-            google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials``
-              and ``credentials_file`` are passed.
-        """
-
-        return grpc_helpers.create_channel(
-            host,
-            credentials=credentials,
-            credentials_file=credentials_file,
-            quota_project_id=quota_project_id,
-            default_scopes=cls.AUTH_SCOPES,
-            scopes=scopes,
-            default_host=cls.DEFAULT_HOST,
-            **kwargs
-        )
-
-    @property
-    def grpc_channel(self) -> grpc.Channel:
-        """Return the channel designed to connect to this service.
-        """
-        return self._grpc_channel
-
-    @property
-    def operations_client(self) -> operations_v1.OperationsClient:
-        """Create the client designed to process long-running operations.
-
-        This property caches on the instance; repeated calls return the same
-        client.
-        """
-        # Quick check: Only create a new client if we do not already have one.
-        if self._operations_client is None:
-            self._operations_client = operations_v1.OperationsClient(
-                self.grpc_channel
-            )
-
-        # Return the client from cache.
-        return self._operations_client
-
-    @property
-    def create_lake(self) -> Callable[
-            [service.CreateLakeRequest],
-            operations_pb2.Operation]:
-        r"""Return a callable for the create lake method over gRPC.
-
-        Creates a lake resource.
-
-        Returns:
-            Callable[[~.CreateLakeRequest],
-                    ~.Operation]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'create_lake' not in self._stubs:
-            self._stubs['create_lake'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/CreateLake',
-                request_serializer=service.CreateLakeRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['create_lake']
-
-    @property
-    def update_lake(self) -> Callable[
-            [service.UpdateLakeRequest],
-            operations_pb2.Operation]:
-        r"""Return a callable for the update lake method over gRPC.
-
-        Updates a lake resource.
-
-        Returns:
-            Callable[[~.UpdateLakeRequest],
-                    ~.Operation]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'update_lake' not in self._stubs:
-            self._stubs['update_lake'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/UpdateLake',
-                request_serializer=service.UpdateLakeRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['update_lake']
-
-    @property
-    def delete_lake(self) -> Callable[
-            [service.DeleteLakeRequest],
-            operations_pb2.Operation]:
-        r"""Return a callable for the delete lake method over gRPC.
-
-        Deletes a lake resource. All zones within the lake
-        must be deleted before the lake can be deleted.
-
-        Returns:
-            Callable[[~.DeleteLakeRequest],
-                    ~.Operation]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'delete_lake' not in self._stubs:
-            self._stubs['delete_lake'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/DeleteLake',
-                request_serializer=service.DeleteLakeRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['delete_lake']
-
-    @property
-    def list_lakes(self) -> Callable[
-            [service.ListLakesRequest],
-            service.ListLakesResponse]:
-        r"""Return a callable for the list lakes method over gRPC.
-
-        Lists lake resources in a project and location.
-
-        Returns:
-            Callable[[~.ListLakesRequest],
-                    ~.ListLakesResponse]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'list_lakes' not in self._stubs:
-            self._stubs['list_lakes'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/ListLakes',
-                request_serializer=service.ListLakesRequest.serialize,
-                response_deserializer=service.ListLakesResponse.deserialize,
-            )
-        return self._stubs['list_lakes']
-
-    @property
-    def get_lake(self) -> Callable[
-            [service.GetLakeRequest],
-            resources.Lake]:
-        r"""Return a callable for the get lake method over gRPC.
-
-        Retrieves a lake resource.
-
-        Returns:
-            Callable[[~.GetLakeRequest],
-                    ~.Lake]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'get_lake' not in self._stubs:
-            self._stubs['get_lake'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/GetLake',
-                request_serializer=service.GetLakeRequest.serialize,
-                response_deserializer=resources.Lake.deserialize,
-            )
-        return self._stubs['get_lake']
-
-    @property
-    def list_lake_actions(self) -> Callable[
-            [service.ListLakeActionsRequest],
-            service.ListActionsResponse]:
-        r"""Return a callable for the list lake actions method over gRPC.
-
-        Lists action resources in a lake.
-
-        Returns:
-            Callable[[~.ListLakeActionsRequest],
-                    ~.ListActionsResponse]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'list_lake_actions' not in self._stubs:
-            self._stubs['list_lake_actions'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/ListLakeActions',
-                request_serializer=service.ListLakeActionsRequest.serialize,
-                response_deserializer=service.ListActionsResponse.deserialize,
-            )
-        return self._stubs['list_lake_actions']
-
-    @property
-    def create_zone(self) -> Callable[
-            [service.CreateZoneRequest],
-            operations_pb2.Operation]:
-        r"""Return a callable for the create zone method over gRPC.
-
-        Creates a zone resource within a lake.
-
-        Returns:
-            Callable[[~.CreateZoneRequest],
-                    ~.Operation]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'create_zone' not in self._stubs:
-            self._stubs['create_zone'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/CreateZone',
-                request_serializer=service.CreateZoneRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['create_zone']
-
-    @property
-    def update_zone(self) -> Callable[
-            [service.UpdateZoneRequest],
-            operations_pb2.Operation]:
-        r"""Return a callable for the update zone method over gRPC.
-
-        Updates a zone resource.
-
-        Returns:
-            Callable[[~.UpdateZoneRequest],
-                    ~.Operation]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'update_zone' not in self._stubs:
-            self._stubs['update_zone'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/UpdateZone',
-                request_serializer=service.UpdateZoneRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['update_zone']
-
-    @property
-    def delete_zone(self) -> Callable[
-            [service.DeleteZoneRequest],
-            operations_pb2.Operation]:
-        r"""Return a callable for the delete zone method over gRPC.
-
-        Deletes a zone resource. All assets within a zone
-        must be deleted before the zone can be deleted.
-
-        Returns:
-            Callable[[~.DeleteZoneRequest],
-                    ~.Operation]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'delete_zone' not in self._stubs:
-            self._stubs['delete_zone'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/DeleteZone',
-                request_serializer=service.DeleteZoneRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['delete_zone']
-
-    @property
-    def list_zones(self) -> Callable[
-            [service.ListZonesRequest],
-            service.ListZonesResponse]:
-        r"""Return a callable for the list zones method over gRPC.
-
-        Lists zone resources in a lake.
-
-        Returns:
-            Callable[[~.ListZonesRequest],
-                    ~.ListZonesResponse]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'list_zones' not in self._stubs:
-            self._stubs['list_zones'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/ListZones',
-                request_serializer=service.ListZonesRequest.serialize,
-                response_deserializer=service.ListZonesResponse.deserialize,
-            )
-        return self._stubs['list_zones']
-
-    @property
-    def get_zone(self) -> Callable[
-            [service.GetZoneRequest],
-            resources.Zone]:
-        r"""Return a callable for the get zone method over gRPC.
-
-        Retrieves a zone resource.
-
-        Returns:
-            Callable[[~.GetZoneRequest],
-                    ~.Zone]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'get_zone' not in self._stubs:
-            self._stubs['get_zone'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/GetZone',
-                request_serializer=service.GetZoneRequest.serialize,
-                response_deserializer=resources.Zone.deserialize,
-            )
-        return self._stubs['get_zone']
-
-    @property
-    def list_zone_actions(self) -> Callable[
-            [service.ListZoneActionsRequest],
-            service.ListActionsResponse]:
-        r"""Return a callable for the list zone actions method over gRPC.
-
-        Lists action resources in a zone.
-
-        Returns:
-            Callable[[~.ListZoneActionsRequest],
-                    ~.ListActionsResponse]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'list_zone_actions' not in self._stubs:
-            self._stubs['list_zone_actions'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/ListZoneActions',
-                request_serializer=service.ListZoneActionsRequest.serialize,
-                response_deserializer=service.ListActionsResponse.deserialize,
-            )
-        return self._stubs['list_zone_actions']
-
-    @property
-    def create_asset(self) -> Callable[
-            [service.CreateAssetRequest],
-            operations_pb2.Operation]:
-        r"""Return a callable for the create asset method over gRPC.
-
-        Creates an asset resource.
-
-        Returns:
-            Callable[[~.CreateAssetRequest],
-                    ~.Operation]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'create_asset' not in self._stubs:
-            self._stubs['create_asset'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/CreateAsset',
-                request_serializer=service.CreateAssetRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['create_asset']
-
-    @property
-    def update_asset(self) -> Callable[
-            [service.UpdateAssetRequest],
-            operations_pb2.Operation]:
-        r"""Return a callable for the update asset method over gRPC.
-
-        Updates an asset resource.
-
-        Returns:
-            Callable[[~.UpdateAssetRequest],
-                    ~.Operation]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'update_asset' not in self._stubs:
-            self._stubs['update_asset'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/UpdateAsset',
-                request_serializer=service.UpdateAssetRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['update_asset']
-
-    @property
-    def delete_asset(self) -> Callable[
-            [service.DeleteAssetRequest],
-            operations_pb2.Operation]:
-        r"""Return a callable for the delete asset method over gRPC.
-
-        Deletes an asset resource. The referenced storage
-        resource is detached (default) or deleted based on the
-        associated Lifecycle policy.
-
-        Returns:
-            Callable[[~.DeleteAssetRequest],
-                    ~.Operation]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'delete_asset' not in self._stubs:
-            self._stubs['delete_asset'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/DeleteAsset',
-                request_serializer=service.DeleteAssetRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['delete_asset']
-
-    @property
-    def list_assets(self) -> Callable[
-            [service.ListAssetsRequest],
-            service.ListAssetsResponse]:
-        r"""Return a callable for the list assets method over gRPC.
-
-        Lists asset resources in a zone.
-
-        Returns:
-            Callable[[~.ListAssetsRequest],
-                    ~.ListAssetsResponse]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'list_assets' not in self._stubs:
-            self._stubs['list_assets'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/ListAssets',
-                request_serializer=service.ListAssetsRequest.serialize,
-                response_deserializer=service.ListAssetsResponse.deserialize,
-            )
-        return self._stubs['list_assets']
-
-    @property
-    def get_asset(self) -> Callable[
-            [service.GetAssetRequest],
-            resources.Asset]:
-        r"""Return a callable for the get asset method over gRPC.
-
-        Retrieves an asset resource.
-
-        Returns:
-            Callable[[~.GetAssetRequest],
-                    ~.Asset]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'get_asset' not in self._stubs:
-            self._stubs['get_asset'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/GetAsset',
-                request_serializer=service.GetAssetRequest.serialize,
-                response_deserializer=resources.Asset.deserialize,
-            )
-        return self._stubs['get_asset']
-
-    @property
-    def list_asset_actions(self) -> Callable[
-            [service.ListAssetActionsRequest],
-            service.ListActionsResponse]:
-        r"""Return a callable for the list asset actions method over gRPC.
-
-        Lists action resources in an asset.
-
-        Returns:
-            Callable[[~.ListAssetActionsRequest],
-                    ~.ListActionsResponse]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'list_asset_actions' not in self._stubs:
-            self._stubs['list_asset_actions'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/ListAssetActions',
-                request_serializer=service.ListAssetActionsRequest.serialize,
-                response_deserializer=service.ListActionsResponse.deserialize,
-            )
-        return self._stubs['list_asset_actions']
-
-    @property
-    def create_task(self) -> Callable[
-            [service.CreateTaskRequest],
-            operations_pb2.Operation]:
-        r"""Return a callable for the create task method over gRPC.
-
-        Creates a task resource within a lake.
-
-        Returns:
-            Callable[[~.CreateTaskRequest],
-                    ~.Operation]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'create_task' not in self._stubs:
-            self._stubs['create_task'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/CreateTask',
-                request_serializer=service.CreateTaskRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['create_task']
-
-    @property
-    def update_task(self) -> Callable[
-            [service.UpdateTaskRequest],
-            operations_pb2.Operation]:
-        r"""Return a callable for the update task method over gRPC.
-
-        Update the task resource.
-
-        Returns:
-            Callable[[~.UpdateTaskRequest],
-                    ~.Operation]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'update_task' not in self._stubs:
-            self._stubs['update_task'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/UpdateTask',
-                request_serializer=service.UpdateTaskRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['update_task']
-
-    @property
-    def delete_task(self) -> Callable[
-            [service.DeleteTaskRequest],
-            operations_pb2.Operation]:
-        r"""Return a callable for the delete task method over gRPC.
-
-        Delete the task resource.
-
-        Returns:
-            Callable[[~.DeleteTaskRequest],
-                    ~.Operation]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'delete_task' not in self._stubs:
-            self._stubs['delete_task'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/DeleteTask',
-                request_serializer=service.DeleteTaskRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['delete_task']
-
-    @property
-    def list_tasks(self) -> Callable[
-            [service.ListTasksRequest],
-            service.ListTasksResponse]:
-        r"""Return a callable for the list tasks method over gRPC.
-
-        Lists tasks under the given lake.
-
-        Returns:
-            Callable[[~.ListTasksRequest],
-                    ~.ListTasksResponse]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'list_tasks' not in self._stubs:
-            self._stubs['list_tasks'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/ListTasks',
-                request_serializer=service.ListTasksRequest.serialize,
-                response_deserializer=service.ListTasksResponse.deserialize,
-            )
-        return self._stubs['list_tasks']
-
-    @property
-    def get_task(self) -> Callable[
-            [service.GetTaskRequest],
-            tasks.Task]:
-        r"""Return a callable for the get task method over gRPC.
-
-        Get task resource.
-
-        Returns:
-            Callable[[~.GetTaskRequest],
-                    ~.Task]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'get_task' not in self._stubs:
-            self._stubs['get_task'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/GetTask',
-                request_serializer=service.GetTaskRequest.serialize,
-                response_deserializer=tasks.Task.deserialize,
-            )
-        return self._stubs['get_task']
-
-    @property
-    def list_jobs(self) -> Callable[
-            [service.ListJobsRequest],
-            service.ListJobsResponse]:
-        r"""Return a callable for the list jobs method over gRPC.
-
-        Lists Jobs under the given task.
-
-        Returns:
-            Callable[[~.ListJobsRequest],
-                    ~.ListJobsResponse]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'list_jobs' not in self._stubs:
-            self._stubs['list_jobs'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/ListJobs',
-                request_serializer=service.ListJobsRequest.serialize,
-                response_deserializer=service.ListJobsResponse.deserialize,
-            )
-        return self._stubs['list_jobs']
-
-    @property
-    def run_task(self) -> Callable[
-            [service.RunTaskRequest],
-            service.RunTaskResponse]:
-        r"""Return a callable for the run task method over gRPC.
-
-        Run an on demand execution of a Task.
-
-        Returns:
-            Callable[[~.RunTaskRequest],
-                    ~.RunTaskResponse]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'run_task' not in self._stubs:
-            self._stubs['run_task'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/RunTask',
-                request_serializer=service.RunTaskRequest.serialize,
-                response_deserializer=service.RunTaskResponse.deserialize,
-            )
-        return self._stubs['run_task']
-
-    @property
-    def get_job(self) -> Callable[
-            [service.GetJobRequest],
-            tasks.Job]:
-        r"""Return a callable for the get job method over gRPC.
-
-        Get job resource.
-
-        Returns:
-            Callable[[~.GetJobRequest],
-                    ~.Job]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'get_job' not in self._stubs:
-            self._stubs['get_job'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/GetJob',
-                request_serializer=service.GetJobRequest.serialize,
-                response_deserializer=tasks.Job.deserialize,
-            )
-        return self._stubs['get_job']
-
-    @property
-    def cancel_job(self) -> Callable[
-            [service.CancelJobRequest],
-            empty_pb2.Empty]:
-        r"""Return a callable for the cancel job method over gRPC.
-
-        Cancel jobs running for the task resource.
-
-        Returns:
-            Callable[[~.CancelJobRequest],
-                    ~.Empty]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'cancel_job' not in self._stubs:
-            self._stubs['cancel_job'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/CancelJob',
-                request_serializer=service.CancelJobRequest.serialize,
-                response_deserializer=empty_pb2.Empty.FromString,
-            )
-        return self._stubs['cancel_job']
-
-    @property
-    def create_environment(self) -> Callable[
-            [service.CreateEnvironmentRequest],
-            operations_pb2.Operation]:
-        r"""Return a callable for the create environment method over gRPC.
-
-        Create an environment resource.
-
-        Returns:
-            Callable[[~.CreateEnvironmentRequest],
-                    ~.Operation]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'create_environment' not in self._stubs:
-            self._stubs['create_environment'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/CreateEnvironment',
-                request_serializer=service.CreateEnvironmentRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['create_environment']
-
-    @property
-    def update_environment(self) -> Callable[
-            [service.UpdateEnvironmentRequest],
-            operations_pb2.Operation]:
-        r"""Return a callable for the update environment method over gRPC.
-
-        Update the environment resource.
-
-        Returns:
-            Callable[[~.UpdateEnvironmentRequest],
-                    ~.Operation]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'update_environment' not in self._stubs:
-            self._stubs['update_environment'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/UpdateEnvironment',
-                request_serializer=service.UpdateEnvironmentRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['update_environment']
-
-    @property
-    def delete_environment(self) -> Callable[
-            [service.DeleteEnvironmentRequest],
-            operations_pb2.Operation]:
-        r"""Return a callable for the delete environment method over gRPC.
-
-        Delete the environment resource. All the child
-        resources must have been deleted before environment
-        deletion can be initiated.
-
-        Returns:
-            Callable[[~.DeleteEnvironmentRequest],
-                    ~.Operation]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'delete_environment' not in self._stubs:
-            self._stubs['delete_environment'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/DeleteEnvironment',
-                request_serializer=service.DeleteEnvironmentRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['delete_environment']
-
-    @property
-    def list_environments(self) -> Callable[
-            [service.ListEnvironmentsRequest],
-            service.ListEnvironmentsResponse]:
-        r"""Return a callable for the list environments method over gRPC.
-
-        Lists environments under the given lake.
-
-        Returns:
-            Callable[[~.ListEnvironmentsRequest],
-                    ~.ListEnvironmentsResponse]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'list_environments' not in self._stubs:
-            self._stubs['list_environments'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/ListEnvironments',
-                request_serializer=service.ListEnvironmentsRequest.serialize,
-                response_deserializer=service.ListEnvironmentsResponse.deserialize,
-            )
-        return self._stubs['list_environments']
-
-    @property
-    def get_environment(self) -> Callable[
-            [service.GetEnvironmentRequest],
-            analyze.Environment]:
-        r"""Return a callable for the get environment method over gRPC.
-
-        Get environment resource.
-
-        Returns:
-            Callable[[~.GetEnvironmentRequest],
-                    ~.Environment]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'get_environment' not in self._stubs:
-            self._stubs['get_environment'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/GetEnvironment',
-                request_serializer=service.GetEnvironmentRequest.serialize,
-                response_deserializer=analyze.Environment.deserialize,
-            )
-        return self._stubs['get_environment']
-
-    @property
-    def list_sessions(self) -> Callable[
-            [service.ListSessionsRequest],
-            service.ListSessionsResponse]:
-        r"""Return a callable for the list sessions method over gRPC.
-
-        Lists session resources in an environment.
-
-        Returns:
-            Callable[[~.ListSessionsRequest],
-                    ~.ListSessionsResponse]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'list_sessions' not in self._stubs:
-            self._stubs['list_sessions'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/ListSessions',
-                request_serializer=service.ListSessionsRequest.serialize,
-                response_deserializer=service.ListSessionsResponse.deserialize,
-            )
-        return self._stubs['list_sessions']
-
-    def close(self):
-        self.grpc_channel.close()
-
-    @property
-    def delete_operation(
-        self,
-    ) -> Callable[[operations_pb2.DeleteOperationRequest], None]:
-        r"""Return a callable for the delete_operation method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "delete_operation" not in self._stubs:
-            self._stubs["delete_operation"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/DeleteOperation",
-                request_serializer=operations_pb2.DeleteOperationRequest.SerializeToString,
-                response_deserializer=None,
-            )
-        return self._stubs["delete_operation"]
-
-    @property
-    def cancel_operation(
-        self,
-    ) -> Callable[[operations_pb2.CancelOperationRequest], None]:
-        r"""Return a callable for the cancel_operation method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "cancel_operation" not in self._stubs:
-            self._stubs["cancel_operation"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/CancelOperation",
-                request_serializer=operations_pb2.CancelOperationRequest.SerializeToString,
-                response_deserializer=None,
-            )
-        return self._stubs["cancel_operation"]
-
-    @property
-    def get_operation(
-        self,
-    ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]:
-        r"""Return a callable for the get_operation method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "get_operation" not in self._stubs:
-            self._stubs["get_operation"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/GetOperation",
-                request_serializer=operations_pb2.GetOperationRequest.SerializeToString,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs["get_operation"]
-
-    @property
-    def list_operations(
-        self,
-    ) -> Callable[[operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse]:
-        r"""Return a callable for the list_operations method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "list_operations" not in self._stubs:
-            self._stubs["list_operations"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/ListOperations",
-                request_serializer=operations_pb2.ListOperationsRequest.SerializeToString,
-                response_deserializer=operations_pb2.ListOperationsResponse.FromString,
-            )
-        return self._stubs["list_operations"]
-
-    @property
-    def list_locations(
-        self,
-    ) -> Callable[[locations_pb2.ListLocationsRequest], locations_pb2.ListLocationsResponse]:
-        r"""Return a callable for the list locations method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "list_locations" not in self._stubs:
-            self._stubs["list_locations"] = self.grpc_channel.unary_unary(
-                "/google.cloud.location.Locations/ListLocations",
-                request_serializer=locations_pb2.ListLocationsRequest.SerializeToString,
-                response_deserializer=locations_pb2.ListLocationsResponse.FromString,
-            )
-        return self._stubs["list_locations"]
-
-    @property
-    def get_location(
-        self,
-    ) -> Callable[[locations_pb2.GetLocationRequest], locations_pb2.Location]:
-        r"""Return a callable for the list locations method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "get_location" not in self._stubs:
-            self._stubs["get_location"] = self.grpc_channel.unary_unary(
-                "/google.cloud.location.Locations/GetLocation",
-                request_serializer=locations_pb2.GetLocationRequest.SerializeToString,
-                response_deserializer=locations_pb2.Location.FromString,
-            )
-        return self._stubs["get_location"]
-
-    @property
-    def kind(self) -> str:
-        return "grpc"
-
-
-__all__ = (
-    'DataplexServiceGrpcTransport',
-)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/dataplex_service/transports/grpc_asyncio.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/dataplex_service/transports/grpc_asyncio.py
deleted file mode 100644
index d9f2b367ca58..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/dataplex_service/transports/grpc_asyncio.py
+++ /dev/null
@@ -1,1593 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-import inspect
-import warnings
-from typing import Awaitable, Callable, Dict, Optional, Sequence, Tuple, Union
-
-from google.api_core import gapic_v1
-from google.api_core import grpc_helpers_async
-from google.api_core import exceptions as core_exceptions
-from google.api_core import retry_async as retries
-from google.api_core import operations_v1
-from google.auth import credentials as ga_credentials   # type: ignore
-from google.auth.transport.grpc import SslCredentials  # type: ignore
-
-import grpc                        # type: ignore
-from grpc.experimental import aio  # type: ignore
-
-from google.cloud.dataplex_v1.types import analyze
-from google.cloud.dataplex_v1.types import resources
-from google.cloud.dataplex_v1.types import service
-from google.cloud.dataplex_v1.types import tasks
-from google.cloud.location import locations_pb2 # type: ignore
-from google.iam.v1 import iam_policy_pb2  # type: ignore
-from google.iam.v1 import policy_pb2  # type: ignore
-from google.longrunning import operations_pb2 # type: ignore
-from google.protobuf import empty_pb2  # type: ignore
-from .base import DataplexServiceTransport, DEFAULT_CLIENT_INFO
-from .grpc import DataplexServiceGrpcTransport
-
-
-class DataplexServiceGrpcAsyncIOTransport(DataplexServiceTransport):
-    """gRPC AsyncIO backend transport for DataplexService.
-
-    Dataplex service provides data lakes as a service. The
-    primary resources offered by this service are Lakes, Zones and
-    Assets which collectively allow a data administrator to
-    organize, manage, secure and catalog data across their
-    organization located across cloud projects in a variety of
-    storage systems including Cloud Storage and BigQuery.
-
-    This class defines the same methods as the primary client, so the
-    primary client can load the underlying transport implementation
-    and call it.
-
-    It sends protocol buffers over the wire using gRPC (which is built on
-    top of HTTP/2); the ``grpcio`` package must be installed.
-    """
-
-    _grpc_channel: aio.Channel
-    _stubs: Dict[str, Callable] = {}
-
-    @classmethod
-    def create_channel(cls,
-                       host: str = 'dataplex.googleapis.com',
-                       credentials: Optional[ga_credentials.Credentials] = None,
-                       credentials_file: Optional[str] = None,
-                       scopes: Optional[Sequence[str]] = None,
-                       quota_project_id: Optional[str] = None,
-                       **kwargs) -> aio.Channel:
-        """Create and return a gRPC AsyncIO channel object.
-        Args:
-            host (Optional[str]): The host for the channel to use.
-            credentials (Optional[~.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify this application to the service. If
-                none are specified, the client will attempt to ascertain
-                the credentials from the environment.
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-            scopes (Optional[Sequence[str]]): A optional list of scopes needed for this
-                service. These are only used when credentials are not specified and
-                are passed to :func:`google.auth.default`.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            kwargs (Optional[dict]): Keyword arguments, which are passed to the
-                channel creation.
-        Returns:
-            aio.Channel: A gRPC AsyncIO channel object.
-        """
-
-        return grpc_helpers_async.create_channel(
-            host,
-            credentials=credentials,
-            credentials_file=credentials_file,
-            quota_project_id=quota_project_id,
-            default_scopes=cls.AUTH_SCOPES,
-            scopes=scopes,
-            default_host=cls.DEFAULT_HOST,
-            **kwargs
-        )
-
-    def __init__(self, *,
-            host: str = 'dataplex.googleapis.com',
-            credentials: Optional[ga_credentials.Credentials] = None,
-            credentials_file: Optional[str] = None,
-            scopes: Optional[Sequence[str]] = None,
-            channel: Optional[Union[aio.Channel, Callable[..., aio.Channel]]] = None,
-            api_mtls_endpoint: Optional[str] = None,
-            client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
-            ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None,
-            client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
-            quota_project_id: Optional[str] = None,
-            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-            always_use_jwt_access: Optional[bool] = False,
-            api_audience: Optional[str] = None,
-            ) -> None:
-        """Instantiate the transport.
-
-        Args:
-            host (Optional[str]):
-                 The hostname to connect to (default: 'dataplex.googleapis.com').
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-                This argument is ignored if a ``channel`` instance is provided.
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-                This argument is ignored if a ``channel`` instance is provided.
-            scopes (Optional[Sequence[str]]): A optional list of scopes needed for this
-                service. These are only used when credentials are not specified and
-                are passed to :func:`google.auth.default`.
-            channel (Optional[Union[aio.Channel, Callable[..., aio.Channel]]]):
-                A ``Channel`` instance through which to make calls, or a Callable
-                that constructs and returns one. If set to None, ``self.create_channel``
-                is used to create the channel. If a Callable is given, it will be called
-                with the same arguments as used in ``self.create_channel``.
-            api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint.
-                If provided, it overrides the ``host`` argument and tries to create
-                a mutual TLS channel with client SSL credentials from
-                ``client_cert_source`` or application default SSL credentials.
-            client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]):
-                Deprecated. A callback to provide client SSL certificate bytes and
-                private key bytes, both in PEM format. It is ignored if
-                ``api_mtls_endpoint`` is None.
-            ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials
-                for the grpc channel. It is ignored if a ``channel`` instance is provided.
-            client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]):
-                A callback to provide client certificate bytes and private key bytes,
-                both in PEM format. It is used to configure a mutual TLS channel. It is
-                ignored if a ``channel`` instance or ``ssl_channel_credentials`` is provided.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
-                The client info used to send a user-agent string along with
-                API requests. If ``None``, then default info will be used.
-                Generally, you only need to set this if you're developing
-                your own client library.
-            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
-                be used for service account credentials.
-
-        Raises:
-            google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport
-              creation failed for any reason.
-          google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials``
-              and ``credentials_file`` are passed.
-        """
-        self._grpc_channel = None
-        self._ssl_channel_credentials = ssl_channel_credentials
-        self._stubs: Dict[str, Callable] = {}
-        self._operations_client: Optional[operations_v1.OperationsAsyncClient] = None
-
-        if api_mtls_endpoint:
-            warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning)
-        if client_cert_source:
-            warnings.warn("client_cert_source is deprecated", DeprecationWarning)
-
-        if isinstance(channel, aio.Channel):
-            # Ignore credentials if a channel was passed.
-            credentials = None
-            self._ignore_credentials = True
-            # If a channel was explicitly provided, set it.
-            self._grpc_channel = channel
-            self._ssl_channel_credentials = None
-        else:
-            if api_mtls_endpoint:
-                host = api_mtls_endpoint
-
-                # Create SSL credentials with client_cert_source or application
-                # default SSL credentials.
-                if client_cert_source:
-                    cert, key = client_cert_source()
-                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
-                        certificate_chain=cert, private_key=key
-                    )
-                else:
-                    self._ssl_channel_credentials = SslCredentials().ssl_credentials
-
-            else:
-                if client_cert_source_for_mtls and not ssl_channel_credentials:
-                    cert, key = client_cert_source_for_mtls()
-                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
-                        certificate_chain=cert, private_key=key
-                    )
-
-        # The base transport sets the host, credentials and scopes
-        super().__init__(
-            host=host,
-            credentials=credentials,
-            credentials_file=credentials_file,
-            scopes=scopes,
-            quota_project_id=quota_project_id,
-            client_info=client_info,
-            always_use_jwt_access=always_use_jwt_access,
-            api_audience=api_audience,
-        )
-
-        if not self._grpc_channel:
-            # initialize with the provided callable or the default channel
-            channel_init = channel or type(self).create_channel
-            self._grpc_channel = channel_init(
-                self._host,
-                # use the credentials which are saved
-                credentials=self._credentials,
-                # Set ``credentials_file`` to ``None`` here as
-                # the credentials that we saved earlier should be used.
-                credentials_file=None,
-                scopes=self._scopes,
-                ssl_credentials=self._ssl_channel_credentials,
-                quota_project_id=quota_project_id,
-                options=[
-                    ("grpc.max_send_message_length", -1),
-                    ("grpc.max_receive_message_length", -1),
-                ],
-            )
-
-        # Wrap messages. This must be done after self._grpc_channel exists
-        self._wrap_with_kind = "kind" in inspect.signature(gapic_v1.method_async.wrap_method).parameters
-        self._prep_wrapped_messages(client_info)
-
-    @property
-    def grpc_channel(self) -> aio.Channel:
-        """Create the channel designed to connect to this service.
-
-        This property caches on the instance; repeated calls return
-        the same channel.
-        """
-        # Return the channel from cache.
-        return self._grpc_channel
-
-    @property
-    def operations_client(self) -> operations_v1.OperationsAsyncClient:
-        """Create the client designed to process long-running operations.
-
-        This property caches on the instance; repeated calls return the same
-        client.
-        """
-        # Quick check: Only create a new client if we do not already have one.
-        if self._operations_client is None:
-            self._operations_client = operations_v1.OperationsAsyncClient(
-                self.grpc_channel
-            )
-
-        # Return the client from cache.
-        return self._operations_client
-
-    @property
-    def create_lake(self) -> Callable[
-            [service.CreateLakeRequest],
-            Awaitable[operations_pb2.Operation]]:
-        r"""Return a callable for the create lake method over gRPC.
-
-        Creates a lake resource.
-
-        Returns:
-            Callable[[~.CreateLakeRequest],
-                    Awaitable[~.Operation]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'create_lake' not in self._stubs:
-            self._stubs['create_lake'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/CreateLake',
-                request_serializer=service.CreateLakeRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['create_lake']
-
-    @property
-    def update_lake(self) -> Callable[
-            [service.UpdateLakeRequest],
-            Awaitable[operations_pb2.Operation]]:
-        r"""Return a callable for the update lake method over gRPC.
-
-        Updates a lake resource.
-
-        Returns:
-            Callable[[~.UpdateLakeRequest],
-                    Awaitable[~.Operation]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'update_lake' not in self._stubs:
-            self._stubs['update_lake'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/UpdateLake',
-                request_serializer=service.UpdateLakeRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['update_lake']
-
-    @property
-    def delete_lake(self) -> Callable[
-            [service.DeleteLakeRequest],
-            Awaitable[operations_pb2.Operation]]:
-        r"""Return a callable for the delete lake method over gRPC.
-
-        Deletes a lake resource. All zones within the lake
-        must be deleted before the lake can be deleted.
-
-        Returns:
-            Callable[[~.DeleteLakeRequest],
-                    Awaitable[~.Operation]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'delete_lake' not in self._stubs:
-            self._stubs['delete_lake'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/DeleteLake',
-                request_serializer=service.DeleteLakeRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['delete_lake']
-
-    @property
-    def list_lakes(self) -> Callable[
-            [service.ListLakesRequest],
-            Awaitable[service.ListLakesResponse]]:
-        r"""Return a callable for the list lakes method over gRPC.
-
-        Lists lake resources in a project and location.
-
-        Returns:
-            Callable[[~.ListLakesRequest],
-                    Awaitable[~.ListLakesResponse]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'list_lakes' not in self._stubs:
-            self._stubs['list_lakes'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/ListLakes',
-                request_serializer=service.ListLakesRequest.serialize,
-                response_deserializer=service.ListLakesResponse.deserialize,
-            )
-        return self._stubs['list_lakes']
-
-    @property
-    def get_lake(self) -> Callable[
-            [service.GetLakeRequest],
-            Awaitable[resources.Lake]]:
-        r"""Return a callable for the get lake method over gRPC.
-
-        Retrieves a lake resource.
-
-        Returns:
-            Callable[[~.GetLakeRequest],
-                    Awaitable[~.Lake]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'get_lake' not in self._stubs:
-            self._stubs['get_lake'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/GetLake',
-                request_serializer=service.GetLakeRequest.serialize,
-                response_deserializer=resources.Lake.deserialize,
-            )
-        return self._stubs['get_lake']
-
-    @property
-    def list_lake_actions(self) -> Callable[
-            [service.ListLakeActionsRequest],
-            Awaitable[service.ListActionsResponse]]:
-        r"""Return a callable for the list lake actions method over gRPC.
-
-        Lists action resources in a lake.
-
-        Returns:
-            Callable[[~.ListLakeActionsRequest],
-                    Awaitable[~.ListActionsResponse]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'list_lake_actions' not in self._stubs:
-            self._stubs['list_lake_actions'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/ListLakeActions',
-                request_serializer=service.ListLakeActionsRequest.serialize,
-                response_deserializer=service.ListActionsResponse.deserialize,
-            )
-        return self._stubs['list_lake_actions']
-
-    @property
-    def create_zone(self) -> Callable[
-            [service.CreateZoneRequest],
-            Awaitable[operations_pb2.Operation]]:
-        r"""Return a callable for the create zone method over gRPC.
-
-        Creates a zone resource within a lake.
-
-        Returns:
-            Callable[[~.CreateZoneRequest],
-                    Awaitable[~.Operation]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'create_zone' not in self._stubs:
-            self._stubs['create_zone'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/CreateZone',
-                request_serializer=service.CreateZoneRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['create_zone']
-
-    @property
-    def update_zone(self) -> Callable[
-            [service.UpdateZoneRequest],
-            Awaitable[operations_pb2.Operation]]:
-        r"""Return a callable for the update zone method over gRPC.
-
-        Updates a zone resource.
-
-        Returns:
-            Callable[[~.UpdateZoneRequest],
-                    Awaitable[~.Operation]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'update_zone' not in self._stubs:
-            self._stubs['update_zone'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/UpdateZone',
-                request_serializer=service.UpdateZoneRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['update_zone']
-
-    @property
-    def delete_zone(self) -> Callable[
-            [service.DeleteZoneRequest],
-            Awaitable[operations_pb2.Operation]]:
-        r"""Return a callable for the delete zone method over gRPC.
-
-        Deletes a zone resource. All assets within a zone
-        must be deleted before the zone can be deleted.
-
-        Returns:
-            Callable[[~.DeleteZoneRequest],
-                    Awaitable[~.Operation]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'delete_zone' not in self._stubs:
-            self._stubs['delete_zone'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/DeleteZone',
-                request_serializer=service.DeleteZoneRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['delete_zone']
-
-    @property
-    def list_zones(self) -> Callable[
-            [service.ListZonesRequest],
-            Awaitable[service.ListZonesResponse]]:
-        r"""Return a callable for the list zones method over gRPC.
-
-        Lists zone resources in a lake.
-
-        Returns:
-            Callable[[~.ListZonesRequest],
-                    Awaitable[~.ListZonesResponse]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'list_zones' not in self._stubs:
-            self._stubs['list_zones'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/ListZones',
-                request_serializer=service.ListZonesRequest.serialize,
-                response_deserializer=service.ListZonesResponse.deserialize,
-            )
-        return self._stubs['list_zones']
-
-    @property
-    def get_zone(self) -> Callable[
-            [service.GetZoneRequest],
-            Awaitable[resources.Zone]]:
-        r"""Return a callable for the get zone method over gRPC.
-
-        Retrieves a zone resource.
-
-        Returns:
-            Callable[[~.GetZoneRequest],
-                    Awaitable[~.Zone]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'get_zone' not in self._stubs:
-            self._stubs['get_zone'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/GetZone',
-                request_serializer=service.GetZoneRequest.serialize,
-                response_deserializer=resources.Zone.deserialize,
-            )
-        return self._stubs['get_zone']
-
-    @property
-    def list_zone_actions(self) -> Callable[
-            [service.ListZoneActionsRequest],
-            Awaitable[service.ListActionsResponse]]:
-        r"""Return a callable for the list zone actions method over gRPC.
-
-        Lists action resources in a zone.
-
-        Returns:
-            Callable[[~.ListZoneActionsRequest],
-                    Awaitable[~.ListActionsResponse]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'list_zone_actions' not in self._stubs:
-            self._stubs['list_zone_actions'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/ListZoneActions',
-                request_serializer=service.ListZoneActionsRequest.serialize,
-                response_deserializer=service.ListActionsResponse.deserialize,
-            )
-        return self._stubs['list_zone_actions']
-
-    @property
-    def create_asset(self) -> Callable[
-            [service.CreateAssetRequest],
-            Awaitable[operations_pb2.Operation]]:
-        r"""Return a callable for the create asset method over gRPC.
-
-        Creates an asset resource.
-
-        Returns:
-            Callable[[~.CreateAssetRequest],
-                    Awaitable[~.Operation]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'create_asset' not in self._stubs:
-            self._stubs['create_asset'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/CreateAsset',
-                request_serializer=service.CreateAssetRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['create_asset']
-
-    @property
-    def update_asset(self) -> Callable[
-            [service.UpdateAssetRequest],
-            Awaitable[operations_pb2.Operation]]:
-        r"""Return a callable for the update asset method over gRPC.
-
-        Updates an asset resource.
-
-        Returns:
-            Callable[[~.UpdateAssetRequest],
-                    Awaitable[~.Operation]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'update_asset' not in self._stubs:
-            self._stubs['update_asset'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/UpdateAsset',
-                request_serializer=service.UpdateAssetRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['update_asset']
-
-    @property
-    def delete_asset(self) -> Callable[
-            [service.DeleteAssetRequest],
-            Awaitable[operations_pb2.Operation]]:
-        r"""Return a callable for the delete asset method over gRPC.
-
-        Deletes an asset resource. The referenced storage
-        resource is detached (default) or deleted based on the
-        associated Lifecycle policy.
-
-        Returns:
-            Callable[[~.DeleteAssetRequest],
-                    Awaitable[~.Operation]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'delete_asset' not in self._stubs:
-            self._stubs['delete_asset'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/DeleteAsset',
-                request_serializer=service.DeleteAssetRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['delete_asset']
-
-    @property
-    def list_assets(self) -> Callable[
-            [service.ListAssetsRequest],
-            Awaitable[service.ListAssetsResponse]]:
-        r"""Return a callable for the list assets method over gRPC.
-
-        Lists asset resources in a zone.
-
-        Returns:
-            Callable[[~.ListAssetsRequest],
-                    Awaitable[~.ListAssetsResponse]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'list_assets' not in self._stubs:
-            self._stubs['list_assets'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/ListAssets',
-                request_serializer=service.ListAssetsRequest.serialize,
-                response_deserializer=service.ListAssetsResponse.deserialize,
-            )
-        return self._stubs['list_assets']
-
-    @property
-    def get_asset(self) -> Callable[
-            [service.GetAssetRequest],
-            Awaitable[resources.Asset]]:
-        r"""Return a callable for the get asset method over gRPC.
-
-        Retrieves an asset resource.
-
-        Returns:
-            Callable[[~.GetAssetRequest],
-                    Awaitable[~.Asset]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'get_asset' not in self._stubs:
-            self._stubs['get_asset'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/GetAsset',
-                request_serializer=service.GetAssetRequest.serialize,
-                response_deserializer=resources.Asset.deserialize,
-            )
-        return self._stubs['get_asset']
-
-    @property
-    def list_asset_actions(self) -> Callable[
-            [service.ListAssetActionsRequest],
-            Awaitable[service.ListActionsResponse]]:
-        r"""Return a callable for the list asset actions method over gRPC.
-
-        Lists action resources in an asset.
-
-        Returns:
-            Callable[[~.ListAssetActionsRequest],
-                    Awaitable[~.ListActionsResponse]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'list_asset_actions' not in self._stubs:
-            self._stubs['list_asset_actions'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/ListAssetActions',
-                request_serializer=service.ListAssetActionsRequest.serialize,
-                response_deserializer=service.ListActionsResponse.deserialize,
-            )
-        return self._stubs['list_asset_actions']
-
-    @property
-    def create_task(self) -> Callable[
-            [service.CreateTaskRequest],
-            Awaitable[operations_pb2.Operation]]:
-        r"""Return a callable for the create task method over gRPC.
-
-        Creates a task resource within a lake.
-
-        Returns:
-            Callable[[~.CreateTaskRequest],
-                    Awaitable[~.Operation]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'create_task' not in self._stubs:
-            self._stubs['create_task'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/CreateTask',
-                request_serializer=service.CreateTaskRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['create_task']
-
-    @property
-    def update_task(self) -> Callable[
-            [service.UpdateTaskRequest],
-            Awaitable[operations_pb2.Operation]]:
-        r"""Return a callable for the update task method over gRPC.
-
-        Update the task resource.
-
-        Returns:
-            Callable[[~.UpdateTaskRequest],
-                    Awaitable[~.Operation]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'update_task' not in self._stubs:
-            self._stubs['update_task'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/UpdateTask',
-                request_serializer=service.UpdateTaskRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['update_task']
-
-    @property
-    def delete_task(self) -> Callable[
-            [service.DeleteTaskRequest],
-            Awaitable[operations_pb2.Operation]]:
-        r"""Return a callable for the delete task method over gRPC.
-
-        Delete the task resource.
-
-        Returns:
-            Callable[[~.DeleteTaskRequest],
-                    Awaitable[~.Operation]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'delete_task' not in self._stubs:
-            self._stubs['delete_task'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/DeleteTask',
-                request_serializer=service.DeleteTaskRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['delete_task']
-
-    @property
-    def list_tasks(self) -> Callable[
-            [service.ListTasksRequest],
-            Awaitable[service.ListTasksResponse]]:
-        r"""Return a callable for the list tasks method over gRPC.
-
-        Lists tasks under the given lake.
-
-        Returns:
-            Callable[[~.ListTasksRequest],
-                    Awaitable[~.ListTasksResponse]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'list_tasks' not in self._stubs:
-            self._stubs['list_tasks'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/ListTasks',
-                request_serializer=service.ListTasksRequest.serialize,
-                response_deserializer=service.ListTasksResponse.deserialize,
-            )
-        return self._stubs['list_tasks']
-
-    @property
-    def get_task(self) -> Callable[
-            [service.GetTaskRequest],
-            Awaitable[tasks.Task]]:
-        r"""Return a callable for the get task method over gRPC.
-
-        Get task resource.
-
-        Returns:
-            Callable[[~.GetTaskRequest],
-                    Awaitable[~.Task]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'get_task' not in self._stubs:
-            self._stubs['get_task'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/GetTask',
-                request_serializer=service.GetTaskRequest.serialize,
-                response_deserializer=tasks.Task.deserialize,
-            )
-        return self._stubs['get_task']
-
-    @property
-    def list_jobs(self) -> Callable[
-            [service.ListJobsRequest],
-            Awaitable[service.ListJobsResponse]]:
-        r"""Return a callable for the list jobs method over gRPC.
-
-        Lists Jobs under the given task.
-
-        Returns:
-            Callable[[~.ListJobsRequest],
-                    Awaitable[~.ListJobsResponse]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'list_jobs' not in self._stubs:
-            self._stubs['list_jobs'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/ListJobs',
-                request_serializer=service.ListJobsRequest.serialize,
-                response_deserializer=service.ListJobsResponse.deserialize,
-            )
-        return self._stubs['list_jobs']
-
-    @property
-    def run_task(self) -> Callable[
-            [service.RunTaskRequest],
-            Awaitable[service.RunTaskResponse]]:
-        r"""Return a callable for the run task method over gRPC.
-
-        Run an on demand execution of a Task.
-
-        Returns:
-            Callable[[~.RunTaskRequest],
-                    Awaitable[~.RunTaskResponse]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'run_task' not in self._stubs:
-            self._stubs['run_task'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/RunTask',
-                request_serializer=service.RunTaskRequest.serialize,
-                response_deserializer=service.RunTaskResponse.deserialize,
-            )
-        return self._stubs['run_task']
-
-    @property
-    def get_job(self) -> Callable[
-            [service.GetJobRequest],
-            Awaitable[tasks.Job]]:
-        r"""Return a callable for the get job method over gRPC.
-
-        Get job resource.
-
-        Returns:
-            Callable[[~.GetJobRequest],
-                    Awaitable[~.Job]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'get_job' not in self._stubs:
-            self._stubs['get_job'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/GetJob',
-                request_serializer=service.GetJobRequest.serialize,
-                response_deserializer=tasks.Job.deserialize,
-            )
-        return self._stubs['get_job']
-
-    @property
-    def cancel_job(self) -> Callable[
-            [service.CancelJobRequest],
-            Awaitable[empty_pb2.Empty]]:
-        r"""Return a callable for the cancel job method over gRPC.
-
-        Cancel jobs running for the task resource.
-
-        Returns:
-            Callable[[~.CancelJobRequest],
-                    Awaitable[~.Empty]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'cancel_job' not in self._stubs:
-            self._stubs['cancel_job'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/CancelJob',
-                request_serializer=service.CancelJobRequest.serialize,
-                response_deserializer=empty_pb2.Empty.FromString,
-            )
-        return self._stubs['cancel_job']
-
-    @property
-    def create_environment(self) -> Callable[
-            [service.CreateEnvironmentRequest],
-            Awaitable[operations_pb2.Operation]]:
-        r"""Return a callable for the create environment method over gRPC.
-
-        Create an environment resource.
-
-        Returns:
-            Callable[[~.CreateEnvironmentRequest],
-                    Awaitable[~.Operation]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'create_environment' not in self._stubs:
-            self._stubs['create_environment'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/CreateEnvironment',
-                request_serializer=service.CreateEnvironmentRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['create_environment']
-
-    @property
-    def update_environment(self) -> Callable[
-            [service.UpdateEnvironmentRequest],
-            Awaitable[operations_pb2.Operation]]:
-        r"""Return a callable for the update environment method over gRPC.
-
-        Update the environment resource.
-
-        Returns:
-            Callable[[~.UpdateEnvironmentRequest],
-                    Awaitable[~.Operation]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'update_environment' not in self._stubs:
-            self._stubs['update_environment'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/UpdateEnvironment',
-                request_serializer=service.UpdateEnvironmentRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['update_environment']
-
-    @property
-    def delete_environment(self) -> Callable[
-            [service.DeleteEnvironmentRequest],
-            Awaitable[operations_pb2.Operation]]:
-        r"""Return a callable for the delete environment method over gRPC.
-
-        Delete the environment resource. All the child
-        resources must have been deleted before environment
-        deletion can be initiated.
-
-        Returns:
-            Callable[[~.DeleteEnvironmentRequest],
-                    Awaitable[~.Operation]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'delete_environment' not in self._stubs:
-            self._stubs['delete_environment'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/DeleteEnvironment',
-                request_serializer=service.DeleteEnvironmentRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs['delete_environment']
-
-    @property
-    def list_environments(self) -> Callable[
-            [service.ListEnvironmentsRequest],
-            Awaitable[service.ListEnvironmentsResponse]]:
-        r"""Return a callable for the list environments method over gRPC.
-
-        Lists environments under the given lake.
-
-        Returns:
-            Callable[[~.ListEnvironmentsRequest],
-                    Awaitable[~.ListEnvironmentsResponse]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'list_environments' not in self._stubs:
-            self._stubs['list_environments'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/ListEnvironments',
-                request_serializer=service.ListEnvironmentsRequest.serialize,
-                response_deserializer=service.ListEnvironmentsResponse.deserialize,
-            )
-        return self._stubs['list_environments']
-
-    @property
-    def get_environment(self) -> Callable[
-            [service.GetEnvironmentRequest],
-            Awaitable[analyze.Environment]]:
-        r"""Return a callable for the get environment method over gRPC.
-
-        Get environment resource.
-
-        Returns:
-            Callable[[~.GetEnvironmentRequest],
-                    Awaitable[~.Environment]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'get_environment' not in self._stubs:
-            self._stubs['get_environment'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/GetEnvironment',
-                request_serializer=service.GetEnvironmentRequest.serialize,
-                response_deserializer=analyze.Environment.deserialize,
-            )
-        return self._stubs['get_environment']
-
-    @property
-    def list_sessions(self) -> Callable[
-            [service.ListSessionsRequest],
-            Awaitable[service.ListSessionsResponse]]:
-        r"""Return a callable for the list sessions method over gRPC.
-
-        Lists session resources in an environment.
-
-        Returns:
-            Callable[[~.ListSessionsRequest],
-                    Awaitable[~.ListSessionsResponse]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'list_sessions' not in self._stubs:
-            self._stubs['list_sessions'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.DataplexService/ListSessions',
-                request_serializer=service.ListSessionsRequest.serialize,
-                response_deserializer=service.ListSessionsResponse.deserialize,
-            )
-        return self._stubs['list_sessions']
-
-    def _prep_wrapped_messages(self, client_info):
-        """ Precompute the wrapped methods, overriding the base class method to use async wrappers."""
-        self._wrapped_methods = {
-            self.create_lake: self._wrap_method(
-                self.create_lake,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.update_lake: self._wrap_method(
-                self.update_lake,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.delete_lake: self._wrap_method(
-                self.delete_lake,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.list_lakes: self._wrap_method(
-                self.list_lakes,
-                default_retry=retries.AsyncRetry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.get_lake: self._wrap_method(
-                self.get_lake,
-                default_retry=retries.AsyncRetry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.list_lake_actions: self._wrap_method(
-                self.list_lake_actions,
-                default_retry=retries.AsyncRetry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.create_zone: self._wrap_method(
-                self.create_zone,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.update_zone: self._wrap_method(
-                self.update_zone,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.delete_zone: self._wrap_method(
-                self.delete_zone,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.list_zones: self._wrap_method(
-                self.list_zones,
-                default_retry=retries.AsyncRetry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.get_zone: self._wrap_method(
-                self.get_zone,
-                default_retry=retries.AsyncRetry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.list_zone_actions: self._wrap_method(
-                self.list_zone_actions,
-                default_retry=retries.AsyncRetry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.create_asset: self._wrap_method(
-                self.create_asset,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.update_asset: self._wrap_method(
-                self.update_asset,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.delete_asset: self._wrap_method(
-                self.delete_asset,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.list_assets: self._wrap_method(
-                self.list_assets,
-                default_retry=retries.AsyncRetry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.get_asset: self._wrap_method(
-                self.get_asset,
-                default_retry=retries.AsyncRetry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.list_asset_actions: self._wrap_method(
-                self.list_asset_actions,
-                default_retry=retries.AsyncRetry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.create_task: self._wrap_method(
-                self.create_task,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.update_task: self._wrap_method(
-                self.update_task,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.delete_task: self._wrap_method(
-                self.delete_task,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.list_tasks: self._wrap_method(
-                self.list_tasks,
-                default_retry=retries.AsyncRetry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.get_task: self._wrap_method(
-                self.get_task,
-                default_retry=retries.AsyncRetry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.list_jobs: self._wrap_method(
-                self.list_jobs,
-                default_retry=retries.AsyncRetry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.run_task: self._wrap_method(
-                self.run_task,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.get_job: self._wrap_method(
-                self.get_job,
-                default_retry=retries.AsyncRetry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.cancel_job: self._wrap_method(
-                self.cancel_job,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.create_environment: self._wrap_method(
-                self.create_environment,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.update_environment: self._wrap_method(
-                self.update_environment,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.delete_environment: self._wrap_method(
-                self.delete_environment,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.list_environments: self._wrap_method(
-                self.list_environments,
-                default_retry=retries.AsyncRetry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.get_environment: self._wrap_method(
-                self.get_environment,
-                default_retry=retries.AsyncRetry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.list_sessions: self._wrap_method(
-                self.list_sessions,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.get_location: self._wrap_method(
-                self.get_location,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.list_locations: self._wrap_method(
-                self.list_locations,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.cancel_operation: self._wrap_method(
-                self.cancel_operation,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.delete_operation: self._wrap_method(
-                self.delete_operation,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.get_operation: self._wrap_method(
-                self.get_operation,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.list_operations: self._wrap_method(
-                self.list_operations,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-        }
-
-    def _wrap_method(self, func, *args, **kwargs):
-        if self._wrap_with_kind:  # pragma: NO COVER
-            kwargs["kind"] = self.kind
-        return gapic_v1.method_async.wrap_method(func, *args, **kwargs)
-
-    def close(self):
-        return self.grpc_channel.close()
-
-    @property
-    def kind(self) -> str:
-        return "grpc_asyncio"
-
-    @property
-    def delete_operation(
-        self,
-    ) -> Callable[[operations_pb2.DeleteOperationRequest], None]:
-        r"""Return a callable for the delete_operation method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "delete_operation" not in self._stubs:
-            self._stubs["delete_operation"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/DeleteOperation",
-                request_serializer=operations_pb2.DeleteOperationRequest.SerializeToString,
-                response_deserializer=None,
-            )
-        return self._stubs["delete_operation"]
-
-    @property
-    def cancel_operation(
-        self,
-    ) -> Callable[[operations_pb2.CancelOperationRequest], None]:
-        r"""Return a callable for the cancel_operation method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "cancel_operation" not in self._stubs:
-            self._stubs["cancel_operation"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/CancelOperation",
-                request_serializer=operations_pb2.CancelOperationRequest.SerializeToString,
-                response_deserializer=None,
-            )
-        return self._stubs["cancel_operation"]
-
-    @property
-    def get_operation(
-        self,
-    ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]:
-        r"""Return a callable for the get_operation method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "get_operation" not in self._stubs:
-            self._stubs["get_operation"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/GetOperation",
-                request_serializer=operations_pb2.GetOperationRequest.SerializeToString,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs["get_operation"]
-
-    @property
-    def list_operations(
-        self,
-    ) -> Callable[[operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse]:
-        r"""Return a callable for the list_operations method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "list_operations" not in self._stubs:
-            self._stubs["list_operations"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/ListOperations",
-                request_serializer=operations_pb2.ListOperationsRequest.SerializeToString,
-                response_deserializer=operations_pb2.ListOperationsResponse.FromString,
-            )
-        return self._stubs["list_operations"]
-
-    @property
-    def list_locations(
-        self,
-    ) -> Callable[[locations_pb2.ListLocationsRequest], locations_pb2.ListLocationsResponse]:
-        r"""Return a callable for the list locations method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "list_locations" not in self._stubs:
-            self._stubs["list_locations"] = self.grpc_channel.unary_unary(
-                "/google.cloud.location.Locations/ListLocations",
-                request_serializer=locations_pb2.ListLocationsRequest.SerializeToString,
-                response_deserializer=locations_pb2.ListLocationsResponse.FromString,
-            )
-        return self._stubs["list_locations"]
-
-    @property
-    def get_location(
-        self,
-    ) -> Callable[[locations_pb2.GetLocationRequest], locations_pb2.Location]:
-        r"""Return a callable for the list locations method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "get_location" not in self._stubs:
-            self._stubs["get_location"] = self.grpc_channel.unary_unary(
-                "/google.cloud.location.Locations/GetLocation",
-                request_serializer=locations_pb2.GetLocationRequest.SerializeToString,
-                response_deserializer=locations_pb2.Location.FromString,
-            )
-        return self._stubs["get_location"]
-
-
-__all__ = (
-    'DataplexServiceGrpcAsyncIOTransport',
-)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/metadata_service/__init__.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/metadata_service/__init__.py
deleted file mode 100644
index 8645ebc67c27..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/metadata_service/__init__.py
+++ /dev/null
@@ -1,22 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from .client import MetadataServiceClient
-from .async_client import MetadataServiceAsyncClient
-
-__all__ = (
-    'MetadataServiceClient',
-    'MetadataServiceAsyncClient',
-)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/metadata_service/async_client.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/metadata_service/async_client.py
deleted file mode 100644
index 5ff1ef4a566b..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/metadata_service/async_client.py
+++ /dev/null
@@ -1,1507 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from collections import OrderedDict
-import re
-from typing import Dict, Callable, Mapping, MutableMapping, MutableSequence, Optional, Sequence, Tuple, Type, Union
-
-from google.cloud.dataplex_v1 import gapic_version as package_version
-
-from google.api_core.client_options import ClientOptions
-from google.api_core import exceptions as core_exceptions
-from google.api_core import gapic_v1
-from google.api_core import retry_async as retries
-from google.auth import credentials as ga_credentials   # type: ignore
-from google.oauth2 import service_account              # type: ignore
-
-
-try:
-    OptionalRetry = Union[retries.AsyncRetry, gapic_v1.method._MethodDefault, None]
-except AttributeError:  # pragma: NO COVER
-    OptionalRetry = Union[retries.AsyncRetry, object, None]  # type: ignore
-
-from google.cloud.dataplex_v1.services.metadata_service import pagers
-from google.cloud.dataplex_v1.types import metadata_
-from google.cloud.location import locations_pb2 # type: ignore
-from google.iam.v1 import iam_policy_pb2  # type: ignore
-from google.iam.v1 import policy_pb2  # type: ignore
-from google.longrunning import operations_pb2 # type: ignore
-from google.protobuf import timestamp_pb2  # type: ignore
-from .transports.base import MetadataServiceTransport, DEFAULT_CLIENT_INFO
-from .transports.grpc_asyncio import MetadataServiceGrpcAsyncIOTransport
-from .client import MetadataServiceClient
-
-
-class MetadataServiceAsyncClient:
-    """Metadata service manages metadata resources such as tables,
-    filesets and partitions.
-    """
-
-    _client: MetadataServiceClient
-
-    # Copy defaults from the synchronous client for use here.
-    # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead.
-    DEFAULT_ENDPOINT = MetadataServiceClient.DEFAULT_ENDPOINT
-    DEFAULT_MTLS_ENDPOINT = MetadataServiceClient.DEFAULT_MTLS_ENDPOINT
-    _DEFAULT_ENDPOINT_TEMPLATE = MetadataServiceClient._DEFAULT_ENDPOINT_TEMPLATE
-    _DEFAULT_UNIVERSE = MetadataServiceClient._DEFAULT_UNIVERSE
-
-    entity_path = staticmethod(MetadataServiceClient.entity_path)
-    parse_entity_path = staticmethod(MetadataServiceClient.parse_entity_path)
-    partition_path = staticmethod(MetadataServiceClient.partition_path)
-    parse_partition_path = staticmethod(MetadataServiceClient.parse_partition_path)
-    zone_path = staticmethod(MetadataServiceClient.zone_path)
-    parse_zone_path = staticmethod(MetadataServiceClient.parse_zone_path)
-    common_billing_account_path = staticmethod(MetadataServiceClient.common_billing_account_path)
-    parse_common_billing_account_path = staticmethod(MetadataServiceClient.parse_common_billing_account_path)
-    common_folder_path = staticmethod(MetadataServiceClient.common_folder_path)
-    parse_common_folder_path = staticmethod(MetadataServiceClient.parse_common_folder_path)
-    common_organization_path = staticmethod(MetadataServiceClient.common_organization_path)
-    parse_common_organization_path = staticmethod(MetadataServiceClient.parse_common_organization_path)
-    common_project_path = staticmethod(MetadataServiceClient.common_project_path)
-    parse_common_project_path = staticmethod(MetadataServiceClient.parse_common_project_path)
-    common_location_path = staticmethod(MetadataServiceClient.common_location_path)
-    parse_common_location_path = staticmethod(MetadataServiceClient.parse_common_location_path)
-
-    @classmethod
-    def from_service_account_info(cls, info: dict, *args, **kwargs):
-        """Creates an instance of this client using the provided credentials
-            info.
-
-        Args:
-            info (dict): The service account private key info.
-            args: Additional arguments to pass to the constructor.
-            kwargs: Additional arguments to pass to the constructor.
-
-        Returns:
-            MetadataServiceAsyncClient: The constructed client.
-        """
-        return MetadataServiceClient.from_service_account_info.__func__(MetadataServiceAsyncClient, info, *args, **kwargs)  # type: ignore
-
-    @classmethod
-    def from_service_account_file(cls, filename: str, *args, **kwargs):
-        """Creates an instance of this client using the provided credentials
-            file.
-
-        Args:
-            filename (str): The path to the service account private key json
-                file.
-            args: Additional arguments to pass to the constructor.
-            kwargs: Additional arguments to pass to the constructor.
-
-        Returns:
-            MetadataServiceAsyncClient: The constructed client.
-        """
-        return MetadataServiceClient.from_service_account_file.__func__(MetadataServiceAsyncClient, filename, *args, **kwargs)  # type: ignore
-
-    from_service_account_json = from_service_account_file
-
-    @classmethod
-    def get_mtls_endpoint_and_cert_source(cls, client_options: Optional[ClientOptions] = None):
-        """Return the API endpoint and client cert source for mutual TLS.
-
-        The client cert source is determined in the following order:
-        (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the
-        client cert source is None.
-        (2) if `client_options.client_cert_source` is provided, use the provided one; if the
-        default client cert source exists, use the default one; otherwise the client cert
-        source is None.
-
-        The API endpoint is determined in the following order:
-        (1) if `client_options.api_endpoint` if provided, use the provided one.
-        (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the
-        default mTLS endpoint; if the environment variable is "never", use the default API
-        endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise
-        use the default API endpoint.
-
-        More details can be found at https://google.aip.dev/auth/4114.
-
-        Args:
-            client_options (google.api_core.client_options.ClientOptions): Custom options for the
-                client. Only the `api_endpoint` and `client_cert_source` properties may be used
-                in this method.
-
-        Returns:
-            Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the
-                client cert source to use.
-
-        Raises:
-            google.auth.exceptions.MutualTLSChannelError: If any errors happen.
-        """
-        return MetadataServiceClient.get_mtls_endpoint_and_cert_source(client_options)  # type: ignore
-
-    @property
-    def transport(self) -> MetadataServiceTransport:
-        """Returns the transport used by the client instance.
-
-        Returns:
-            MetadataServiceTransport: The transport used by the client instance.
-        """
-        return self._client.transport
-
-    @property
-    def api_endpoint(self):
-        """Return the API endpoint used by the client instance.
-
-        Returns:
-            str: The API endpoint used by the client instance.
-        """
-        return self._client._api_endpoint
-
-    @property
-    def universe_domain(self) -> str:
-        """Return the universe domain used by the client instance.
-
-        Returns:
-            str: The universe domain used
-                by the client instance.
-        """
-        return self._client._universe_domain
-
-    get_transport_class = MetadataServiceClient.get_transport_class
-
-    def __init__(self, *,
-            credentials: Optional[ga_credentials.Credentials] = None,
-            transport: Optional[Union[str, MetadataServiceTransport, Callable[..., MetadataServiceTransport]]] = "grpc_asyncio",
-            client_options: Optional[ClientOptions] = None,
-            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-            ) -> None:
-        """Instantiates the metadata service async client.
-
-        Args:
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-            transport (Optional[Union[str,MetadataServiceTransport,Callable[..., MetadataServiceTransport]]]):
-                The transport to use, or a Callable that constructs and returns a new transport to use.
-                If a Callable is given, it will be called with the same set of initialization
-                arguments as used in the MetadataServiceTransport constructor.
-                If set to None, a transport is chosen automatically.
-            client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]):
-                Custom options for the client.
-
-                1. The ``api_endpoint`` property can be used to override the
-                default endpoint provided by the client when ``transport`` is
-                not explicitly provided. Only if this property is not set and
-                ``transport`` was not explicitly provided, the endpoint is
-                determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment
-                variable, which have one of the following values:
-                "always" (always use the default mTLS endpoint), "never" (always
-                use the default regular endpoint) and "auto" (auto-switch to the
-                default mTLS endpoint if client certificate is present; this is
-                the default value).
-
-                2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable
-                is "true", then the ``client_cert_source`` property can be used
-                to provide a client certificate for mTLS transport. If
-                not provided, the default SSL client certificate will be used if
-                present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not
-                set, no client certificate will be used.
-
-                3. The ``universe_domain`` property can be used to override the
-                default "googleapis.com" universe. Note that ``api_endpoint``
-                property still takes precedence; and ``universe_domain`` is
-                currently not supported for mTLS.
-
-            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
-                The client info used to send a user-agent string along with
-                API requests. If ``None``, then default info will be used.
-                Generally, you only need to set this if you're developing
-                your own client library.
-
-        Raises:
-            google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport
-                creation failed for any reason.
-        """
-        self._client = MetadataServiceClient(
-            credentials=credentials,
-            transport=transport,
-            client_options=client_options,
-            client_info=client_info,
-
-        )
-
-    async def create_entity(self,
-            request: Optional[Union[metadata_.CreateEntityRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            entity: Optional[metadata_.Entity] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> metadata_.Entity:
-        r"""Create a metadata entity.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_create_entity():
-                # Create a client
-                client = dataplex_v1.MetadataServiceAsyncClient()
-
-                # Initialize request argument(s)
-                entity = dataplex_v1.Entity()
-                entity.id = "id_value"
-                entity.type_ = "FILESET"
-                entity.asset = "asset_value"
-                entity.data_path = "data_path_value"
-                entity.system = "BIGQUERY"
-                entity.format_.mime_type = "mime_type_value"
-                entity.schema.user_managed = True
-
-                request = dataplex_v1.CreateEntityRequest(
-                    parent="parent_value",
-                    entity=entity,
-                )
-
-                # Make the request
-                response = await client.create_entity(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.CreateEntityRequest, dict]]):
-                The request object. Create a metadata entity request.
-            parent (:class:`str`):
-                Required. The resource name of the parent zone:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}``.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            entity (:class:`google.cloud.dataplex_v1.types.Entity`):
-                Required. Entity resource.
-                This corresponds to the ``entity`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.Entity:
-                Represents tables and fileset
-                metadata contained within a zone.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent, entity])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, metadata_.CreateEntityRequest):
-            request = metadata_.CreateEntityRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if parent is not None:
-            request.parent = parent
-        if entity is not None:
-            request.entity = entity
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.create_entity]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def update_entity(self,
-            request: Optional[Union[metadata_.UpdateEntityRequest, dict]] = None,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> metadata_.Entity:
-        r"""Update a metadata entity. Only supports full resource
-        update.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_update_entity():
-                # Create a client
-                client = dataplex_v1.MetadataServiceAsyncClient()
-
-                # Initialize request argument(s)
-                entity = dataplex_v1.Entity()
-                entity.id = "id_value"
-                entity.type_ = "FILESET"
-                entity.asset = "asset_value"
-                entity.data_path = "data_path_value"
-                entity.system = "BIGQUERY"
-                entity.format_.mime_type = "mime_type_value"
-                entity.schema.user_managed = True
-
-                request = dataplex_v1.UpdateEntityRequest(
-                    entity=entity,
-                )
-
-                # Make the request
-                response = await client.update_entity(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.UpdateEntityRequest, dict]]):
-                The request object. Update a metadata entity request.
-                The exiting entity will be fully
-                replaced by the entity in the request.
-                The entity ID is mutable. To modify the
-                ID, use the current entity ID in the
-                request URL and specify the new ID in
-                the request body.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.Entity:
-                Represents tables and fileset
-                metadata contained within a zone.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, metadata_.UpdateEntityRequest):
-            request = metadata_.UpdateEntityRequest(request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.update_entity]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("entity.name", request.entity.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def delete_entity(self,
-            request: Optional[Union[metadata_.DeleteEntityRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> None:
-        r"""Delete a metadata entity.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_delete_entity():
-                # Create a client
-                client = dataplex_v1.MetadataServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.DeleteEntityRequest(
-                    name="name_value",
-                    etag="etag_value",
-                )
-
-                # Make the request
-                await client.delete_entity(request=request)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.DeleteEntityRequest, dict]]):
-                The request object. Delete a metadata entity request.
-            name (:class:`str`):
-                Required. The resource name of the entity:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/entities/{entity_id}``.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, metadata_.DeleteEntityRequest):
-            request = metadata_.DeleteEntityRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.delete_entity]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-    async def get_entity(self,
-            request: Optional[Union[metadata_.GetEntityRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> metadata_.Entity:
-        r"""Get a metadata entity.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_get_entity():
-                # Create a client
-                client = dataplex_v1.MetadataServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.GetEntityRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = await client.get_entity(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.GetEntityRequest, dict]]):
-                The request object. Get metadata entity request.
-            name (:class:`str`):
-                Required. The resource name of the entity:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/entities/{entity_id}.``
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.Entity:
-                Represents tables and fileset
-                metadata contained within a zone.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, metadata_.GetEntityRequest):
-            request = metadata_.GetEntityRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.get_entity]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def list_entities(self,
-            request: Optional[Union[metadata_.ListEntitiesRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> pagers.ListEntitiesAsyncPager:
-        r"""List metadata entities in a zone.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_list_entities():
-                # Create a client
-                client = dataplex_v1.MetadataServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.ListEntitiesRequest(
-                    parent="parent_value",
-                    view="FILESETS",
-                )
-
-                # Make the request
-                page_result = client.list_entities(request=request)
-
-                # Handle the response
-                async for response in page_result:
-                    print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.ListEntitiesRequest, dict]]):
-                The request object. List metadata entities request.
-            parent (:class:`str`):
-                Required. The resource name of the parent zone:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}``.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.services.metadata_service.pagers.ListEntitiesAsyncPager:
-                List metadata entities response.
-
-                Iterating over this object will yield
-                results and resolve additional pages
-                automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, metadata_.ListEntitiesRequest):
-            request = metadata_.ListEntitiesRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if parent is not None:
-            request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.list_entities]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__aiter__` convenience method.
-        response = pagers.ListEntitiesAsyncPager(
-            method=rpc,
-            request=request,
-            response=response,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def create_partition(self,
-            request: Optional[Union[metadata_.CreatePartitionRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            partition: Optional[metadata_.Partition] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> metadata_.Partition:
-        r"""Create a metadata partition.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_create_partition():
-                # Create a client
-                client = dataplex_v1.MetadataServiceAsyncClient()
-
-                # Initialize request argument(s)
-                partition = dataplex_v1.Partition()
-                partition.values = ['values_value1', 'values_value2']
-                partition.location = "location_value"
-
-                request = dataplex_v1.CreatePartitionRequest(
-                    parent="parent_value",
-                    partition=partition,
-                )
-
-                # Make the request
-                response = await client.create_partition(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.CreatePartitionRequest, dict]]):
-                The request object. Create metadata partition request.
-            parent (:class:`str`):
-                Required. The resource name of the parent zone:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/entities/{entity_id}``.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            partition (:class:`google.cloud.dataplex_v1.types.Partition`):
-                Required. Partition resource.
-                This corresponds to the ``partition`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.Partition:
-                Represents partition metadata
-                contained within entity instances.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent, partition])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, metadata_.CreatePartitionRequest):
-            request = metadata_.CreatePartitionRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if parent is not None:
-            request.parent = parent
-        if partition is not None:
-            request.partition = partition
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.create_partition]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def delete_partition(self,
-            request: Optional[Union[metadata_.DeletePartitionRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> None:
-        r"""Delete a metadata partition.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_delete_partition():
-                # Create a client
-                client = dataplex_v1.MetadataServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.DeletePartitionRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                await client.delete_partition(request=request)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.DeletePartitionRequest, dict]]):
-                The request object. Delete metadata partition request.
-            name (:class:`str`):
-                Required. The resource name of the partition. format:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/entities/{entity_id}/partitions/{partition_value_path}``.
-                The {partition_value_path} segment consists of an
-                ordered sequence of partition values separated by "/".
-                All values must be provided.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, metadata_.DeletePartitionRequest):
-            request = metadata_.DeletePartitionRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.delete_partition]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-    async def get_partition(self,
-            request: Optional[Union[metadata_.GetPartitionRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> metadata_.Partition:
-        r"""Get a metadata partition of an entity.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_get_partition():
-                # Create a client
-                client = dataplex_v1.MetadataServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.GetPartitionRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = await client.get_partition(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.GetPartitionRequest, dict]]):
-                The request object. Get metadata partition request.
-            name (:class:`str`):
-                Required. The resource name of the partition:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/entities/{entity_id}/partitions/{partition_value_path}``.
-                The {partition_value_path} segment consists of an
-                ordered sequence of partition values separated by "/".
-                All values must be provided.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.Partition:
-                Represents partition metadata
-                contained within entity instances.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, metadata_.GetPartitionRequest):
-            request = metadata_.GetPartitionRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.get_partition]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def list_partitions(self,
-            request: Optional[Union[metadata_.ListPartitionsRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> pagers.ListPartitionsAsyncPager:
-        r"""List metadata partitions of an entity.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            async def sample_list_partitions():
-                # Create a client
-                client = dataplex_v1.MetadataServiceAsyncClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.ListPartitionsRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_partitions(request=request)
-
-                # Handle the response
-                async for response in page_result:
-                    print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.dataplex_v1.types.ListPartitionsRequest, dict]]):
-                The request object. List metadata partitions request.
-            parent (:class:`str`):
-                Required. The resource name of the parent entity:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/entities/{entity_id}``.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.services.metadata_service.pagers.ListPartitionsAsyncPager:
-                List metadata partitions response.
-
-                Iterating over this object will yield
-                results and resolve additional pages
-                automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError("If the `request` argument is set, then none of "
-                             "the individual field arguments should be set.")
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, metadata_.ListPartitionsRequest):
-            request = metadata_.ListPartitionsRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if parent is not None:
-            request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._client._transport._wrapped_methods[self._client._transport.list_partitions]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__aiter__` convenience method.
-        response = pagers.ListPartitionsAsyncPager(
-            method=rpc,
-            request=request,
-            response=response,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def list_operations(
-        self,
-        request: Optional[operations_pb2.ListOperationsRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operations_pb2.ListOperationsResponse:
-        r"""Lists operations that match the specified filter in the request.
-
-        Args:
-            request (:class:`~.operations_pb2.ListOperationsRequest`):
-                The request object. Request message for
-                `ListOperations` method.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.operations_pb2.ListOperationsResponse:
-                Response message for ``ListOperations`` method.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.ListOperationsRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self.transport._wrapped_methods[self._client._transport.list_operations]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request, retry=retry, timeout=timeout, metadata=metadata,)
-
-        # Done; return the response.
-        return response
-
-    async def get_operation(
-        self,
-        request: Optional[operations_pb2.GetOperationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operations_pb2.Operation:
-        r"""Gets the latest state of a long-running operation.
-
-        Args:
-            request (:class:`~.operations_pb2.GetOperationRequest`):
-                The request object. Request message for
-                `GetOperation` method.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.operations_pb2.Operation:
-                An ``Operation`` object.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.GetOperationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self.transport._wrapped_methods[self._client._transport.get_operation]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request, retry=retry, timeout=timeout, metadata=metadata,)
-
-        # Done; return the response.
-        return response
-
-    async def delete_operation(
-        self,
-        request: Optional[operations_pb2.DeleteOperationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> None:
-        r"""Deletes a long-running operation.
-
-        This method indicates that the client is no longer interested
-        in the operation result. It does not cancel the operation.
-        If the server doesn't support this method, it returns
-        `google.rpc.Code.UNIMPLEMENTED`.
-
-        Args:
-            request (:class:`~.operations_pb2.DeleteOperationRequest`):
-                The request object. Request message for
-                `DeleteOperation` method.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            None
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.DeleteOperationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self.transport._wrapped_methods[self._client._transport.delete_operation]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        await rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
-
-    async def cancel_operation(
-        self,
-        request: Optional[operations_pb2.CancelOperationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> None:
-        r"""Starts asynchronous cancellation on a long-running operation.
-
-        The server makes a best effort to cancel the operation, but success
-        is not guaranteed.  If the server doesn't support this method, it returns
-        `google.rpc.Code.UNIMPLEMENTED`.
-
-        Args:
-            request (:class:`~.operations_pb2.CancelOperationRequest`):
-                The request object. Request message for
-                `CancelOperation` method.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            None
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.CancelOperationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self.transport._wrapped_methods[self._client._transport.cancel_operation]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        await rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
-
-    async def get_location(
-        self,
-        request: Optional[locations_pb2.GetLocationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> locations_pb2.Location:
-        r"""Gets information about a location.
-
-        Args:
-            request (:class:`~.location_pb2.GetLocationRequest`):
-                The request object. Request message for
-                `GetLocation` method.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
-                 if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.location_pb2.Location:
-                Location object.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = locations_pb2.GetLocationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self.transport._wrapped_methods[self._client._transport.get_location]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request, retry=retry, timeout=timeout, metadata=metadata,)
-
-        # Done; return the response.
-        return response
-
-    async def list_locations(
-        self,
-        request: Optional[locations_pb2.ListLocationsRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> locations_pb2.ListLocationsResponse:
-        r"""Lists information about the supported locations for this service.
-
-        Args:
-            request (:class:`~.location_pb2.ListLocationsRequest`):
-                The request object. Request message for
-                `ListLocations` method.
-            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
-                 if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.location_pb2.ListLocationsResponse:
-                Response message for ``ListLocations`` method.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = locations_pb2.ListLocationsRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self.transport._wrapped_methods[self._client._transport.list_locations]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._client._validate_universe_domain()
-
-        # Send the request.
-        response = await rpc(
-            request, retry=retry, timeout=timeout, metadata=metadata,)
-
-        # Done; return the response.
-        return response
-
-    async def __aenter__(self) -> "MetadataServiceAsyncClient":
-        return self
-
-    async def __aexit__(self, exc_type, exc, tb):
-        await self.transport.close()
-
-DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(gapic_version=package_version.__version__)
-
-
-__all__ = (
-    "MetadataServiceAsyncClient",
-)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/metadata_service/client.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/metadata_service/client.py
deleted file mode 100644
index 59ba45b296de..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/metadata_service/client.py
+++ /dev/null
@@ -1,1840 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from collections import OrderedDict
-import os
-import re
-from typing import Dict, Callable, Mapping, MutableMapping, MutableSequence, Optional, Sequence, Tuple, Type, Union, cast
-import warnings
-
-from google.cloud.dataplex_v1 import gapic_version as package_version
-
-from google.api_core import client_options as client_options_lib
-from google.api_core import exceptions as core_exceptions
-from google.api_core import gapic_v1
-from google.api_core import retry as retries
-from google.auth import credentials as ga_credentials             # type: ignore
-from google.auth.transport import mtls                            # type: ignore
-from google.auth.transport.grpc import SslCredentials             # type: ignore
-from google.auth.exceptions import MutualTLSChannelError          # type: ignore
-from google.oauth2 import service_account                         # type: ignore
-
-try:
-    OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None]
-except AttributeError:  # pragma: NO COVER
-    OptionalRetry = Union[retries.Retry, object, None]  # type: ignore
-
-from google.cloud.dataplex_v1.services.metadata_service import pagers
-from google.cloud.dataplex_v1.types import metadata_
-from google.cloud.location import locations_pb2 # type: ignore
-from google.iam.v1 import iam_policy_pb2  # type: ignore
-from google.iam.v1 import policy_pb2  # type: ignore
-from google.longrunning import operations_pb2 # type: ignore
-from google.protobuf import timestamp_pb2  # type: ignore
-from .transports.base import MetadataServiceTransport, DEFAULT_CLIENT_INFO
-from .transports.grpc import MetadataServiceGrpcTransport
-from .transports.grpc_asyncio import MetadataServiceGrpcAsyncIOTransport
-
-
-class MetadataServiceClientMeta(type):
-    """Metaclass for the MetadataService client.
-
-    This provides class-level methods for building and retrieving
-    support objects (e.g. transport) without polluting the client instance
-    objects.
-    """
-    _transport_registry = OrderedDict()  # type: Dict[str, Type[MetadataServiceTransport]]
-    _transport_registry["grpc"] = MetadataServiceGrpcTransport
-    _transport_registry["grpc_asyncio"] = MetadataServiceGrpcAsyncIOTransport
-
-    def get_transport_class(cls,
-            label: Optional[str] = None,
-        ) -> Type[MetadataServiceTransport]:
-        """Returns an appropriate transport class.
-
-        Args:
-            label: The name of the desired transport. If none is
-                provided, then the first transport in the registry is used.
-
-        Returns:
-            The transport class to use.
-        """
-        # If a specific transport is requested, return that one.
-        if label:
-            return cls._transport_registry[label]
-
-        # No transport is requested; return the default (that is, the first one
-        # in the dictionary).
-        return next(iter(cls._transport_registry.values()))
-
-
-class MetadataServiceClient(metaclass=MetadataServiceClientMeta):
-    """Metadata service manages metadata resources such as tables,
-    filesets and partitions.
-    """
-
-    @staticmethod
-    def _get_default_mtls_endpoint(api_endpoint):
-        """Converts api endpoint to mTLS endpoint.
-
-        Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to
-        "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively.
-        Args:
-            api_endpoint (Optional[str]): the api endpoint to convert.
-        Returns:
-            str: converted mTLS api endpoint.
-        """
-        if not api_endpoint:
-            return api_endpoint
-
-        mtls_endpoint_re = re.compile(
-            r"(?P<name>[^.]+)(?P<mtls>\.mtls)?(?P<sandbox>\.sandbox)?(?P<googledomain>\.googleapis\.com)?"
-        )
-
-        m = mtls_endpoint_re.match(api_endpoint)
-        name, mtls, sandbox, googledomain = m.groups()
-        if mtls or not googledomain:
-            return api_endpoint
-
-        if sandbox:
-            return api_endpoint.replace(
-                "sandbox.googleapis.com", "mtls.sandbox.googleapis.com"
-            )
-
-        return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com")
-
-    # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead.
-    DEFAULT_ENDPOINT = "dataplex.googleapis.com"
-    DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__(  # type: ignore
-        DEFAULT_ENDPOINT
-    )
-
-    _DEFAULT_ENDPOINT_TEMPLATE = "dataplex.{UNIVERSE_DOMAIN}"
-    _DEFAULT_UNIVERSE = "googleapis.com"
-
-    @classmethod
-    def from_service_account_info(cls, info: dict, *args, **kwargs):
-        """Creates an instance of this client using the provided credentials
-            info.
-
-        Args:
-            info (dict): The service account private key info.
-            args: Additional arguments to pass to the constructor.
-            kwargs: Additional arguments to pass to the constructor.
-
-        Returns:
-            MetadataServiceClient: The constructed client.
-        """
-        credentials = service_account.Credentials.from_service_account_info(info)
-        kwargs["credentials"] = credentials
-        return cls(*args, **kwargs)
-
-    @classmethod
-    def from_service_account_file(cls, filename: str, *args, **kwargs):
-        """Creates an instance of this client using the provided credentials
-            file.
-
-        Args:
-            filename (str): The path to the service account private key json
-                file.
-            args: Additional arguments to pass to the constructor.
-            kwargs: Additional arguments to pass to the constructor.
-
-        Returns:
-            MetadataServiceClient: The constructed client.
-        """
-        credentials = service_account.Credentials.from_service_account_file(
-            filename)
-        kwargs["credentials"] = credentials
-        return cls(*args, **kwargs)
-
-    from_service_account_json = from_service_account_file
-
-    @property
-    def transport(self) -> MetadataServiceTransport:
-        """Returns the transport used by the client instance.
-
-        Returns:
-            MetadataServiceTransport: The transport used by the client
-                instance.
-        """
-        return self._transport
-
-    @staticmethod
-    def entity_path(project: str,location: str,lake: str,zone: str,entity: str,) -> str:
-        """Returns a fully-qualified entity string."""
-        return "projects/{project}/locations/{location}/lakes/{lake}/zones/{zone}/entities/{entity}".format(project=project, location=location, lake=lake, zone=zone, entity=entity, )
-
-    @staticmethod
-    def parse_entity_path(path: str) -> Dict[str,str]:
-        """Parses a entity path into its component segments."""
-        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/lakes/(?P<lake>.+?)/zones/(?P<zone>.+?)/entities/(?P<entity>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def partition_path(project: str,location: str,lake: str,zone: str,entity: str,partition: str,) -> str:
-        """Returns a fully-qualified partition string."""
-        return "projects/{project}/locations/{location}/lakes/{lake}/zones/{zone}/entities/{entity}/partitions/{partition}".format(project=project, location=location, lake=lake, zone=zone, entity=entity, partition=partition, )
-
-    @staticmethod
-    def parse_partition_path(path: str) -> Dict[str,str]:
-        """Parses a partition path into its component segments."""
-        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/lakes/(?P<lake>.+?)/zones/(?P<zone>.+?)/entities/(?P<entity>.+?)/partitions/(?P<partition>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def zone_path(project: str,location: str,lake: str,zone: str,) -> str:
-        """Returns a fully-qualified zone string."""
-        return "projects/{project}/locations/{location}/lakes/{lake}/zones/{zone}".format(project=project, location=location, lake=lake, zone=zone, )
-
-    @staticmethod
-    def parse_zone_path(path: str) -> Dict[str,str]:
-        """Parses a zone path into its component segments."""
-        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/lakes/(?P<lake>.+?)/zones/(?P<zone>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def common_billing_account_path(billing_account: str, ) -> str:
-        """Returns a fully-qualified billing_account string."""
-        return "billingAccounts/{billing_account}".format(billing_account=billing_account, )
-
-    @staticmethod
-    def parse_common_billing_account_path(path: str) -> Dict[str,str]:
-        """Parse a billing_account path into its component segments."""
-        m = re.match(r"^billingAccounts/(?P<billing_account>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def common_folder_path(folder: str, ) -> str:
-        """Returns a fully-qualified folder string."""
-        return "folders/{folder}".format(folder=folder, )
-
-    @staticmethod
-    def parse_common_folder_path(path: str) -> Dict[str,str]:
-        """Parse a folder path into its component segments."""
-        m = re.match(r"^folders/(?P<folder>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def common_organization_path(organization: str, ) -> str:
-        """Returns a fully-qualified organization string."""
-        return "organizations/{organization}".format(organization=organization, )
-
-    @staticmethod
-    def parse_common_organization_path(path: str) -> Dict[str,str]:
-        """Parse a organization path into its component segments."""
-        m = re.match(r"^organizations/(?P<organization>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def common_project_path(project: str, ) -> str:
-        """Returns a fully-qualified project string."""
-        return "projects/{project}".format(project=project, )
-
-    @staticmethod
-    def parse_common_project_path(path: str) -> Dict[str,str]:
-        """Parse a project path into its component segments."""
-        m = re.match(r"^projects/(?P<project>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def common_location_path(project: str, location: str, ) -> str:
-        """Returns a fully-qualified location string."""
-        return "projects/{project}/locations/{location}".format(project=project, location=location, )
-
-    @staticmethod
-    def parse_common_location_path(path: str) -> Dict[str,str]:
-        """Parse a location path into its component segments."""
-        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @classmethod
-    def get_mtls_endpoint_and_cert_source(cls, client_options: Optional[client_options_lib.ClientOptions] = None):
-        """Deprecated. Return the API endpoint and client cert source for mutual TLS.
-
-        The client cert source is determined in the following order:
-        (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the
-        client cert source is None.
-        (2) if `client_options.client_cert_source` is provided, use the provided one; if the
-        default client cert source exists, use the default one; otherwise the client cert
-        source is None.
-
-        The API endpoint is determined in the following order:
-        (1) if `client_options.api_endpoint` if provided, use the provided one.
-        (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the
-        default mTLS endpoint; if the environment variable is "never", use the default API
-        endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise
-        use the default API endpoint.
-
-        More details can be found at https://google.aip.dev/auth/4114.
-
-        Args:
-            client_options (google.api_core.client_options.ClientOptions): Custom options for the
-                client. Only the `api_endpoint` and `client_cert_source` properties may be used
-                in this method.
-
-        Returns:
-            Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the
-                client cert source to use.
-
-        Raises:
-            google.auth.exceptions.MutualTLSChannelError: If any errors happen.
-        """
-
-        warnings.warn("get_mtls_endpoint_and_cert_source is deprecated. Use the api_endpoint property instead.",
-            DeprecationWarning)
-        if client_options is None:
-            client_options = client_options_lib.ClientOptions()
-        use_client_cert = os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false")
-        use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto")
-        if use_client_cert not in ("true", "false"):
-            raise ValueError("Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`")
-        if use_mtls_endpoint not in ("auto", "never", "always"):
-            raise MutualTLSChannelError("Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`")
-
-        # Figure out the client cert source to use.
-        client_cert_source = None
-        if use_client_cert == "true":
-            if client_options.client_cert_source:
-                client_cert_source = client_options.client_cert_source
-            elif mtls.has_default_client_cert_source():
-                client_cert_source = mtls.default_client_cert_source()
-
-        # Figure out which api endpoint to use.
-        if client_options.api_endpoint is not None:
-            api_endpoint = client_options.api_endpoint
-        elif use_mtls_endpoint == "always" or (use_mtls_endpoint == "auto" and client_cert_source):
-            api_endpoint = cls.DEFAULT_MTLS_ENDPOINT
-        else:
-            api_endpoint = cls.DEFAULT_ENDPOINT
-
-        return api_endpoint, client_cert_source
-
-    @staticmethod
-    def _read_environment_variables():
-        """Returns the environment variables used by the client.
-
-        Returns:
-            Tuple[bool, str, str]: returns the GOOGLE_API_USE_CLIENT_CERTIFICATE,
-            GOOGLE_API_USE_MTLS_ENDPOINT, and GOOGLE_CLOUD_UNIVERSE_DOMAIN environment variables.
-
-        Raises:
-            ValueError: If GOOGLE_API_USE_CLIENT_CERTIFICATE is not
-                any of ["true", "false"].
-            google.auth.exceptions.MutualTLSChannelError: If GOOGLE_API_USE_MTLS_ENDPOINT
-                is not any of ["auto", "never", "always"].
-        """
-        use_client_cert = os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false").lower()
-        use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto").lower()
-        universe_domain_env = os.getenv("GOOGLE_CLOUD_UNIVERSE_DOMAIN")
-        if use_client_cert not in ("true", "false"):
-            raise ValueError("Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`")
-        if use_mtls_endpoint not in ("auto", "never", "always"):
-            raise MutualTLSChannelError("Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`")
-        return use_client_cert == "true", use_mtls_endpoint, universe_domain_env
-
-    @staticmethod
-    def _get_client_cert_source(provided_cert_source, use_cert_flag):
-        """Return the client cert source to be used by the client.
-
-        Args:
-            provided_cert_source (bytes): The client certificate source provided.
-            use_cert_flag (bool): A flag indicating whether to use the client certificate.
-
-        Returns:
-            bytes or None: The client cert source to be used by the client.
-        """
-        client_cert_source = None
-        if use_cert_flag:
-            if provided_cert_source:
-                client_cert_source = provided_cert_source
-            elif mtls.has_default_client_cert_source():
-                client_cert_source = mtls.default_client_cert_source()
-        return client_cert_source
-
-    @staticmethod
-    def _get_api_endpoint(api_override, client_cert_source, universe_domain, use_mtls_endpoint):
-        """Return the API endpoint used by the client.
-
-        Args:
-            api_override (str): The API endpoint override. If specified, this is always
-                the return value of this function and the other arguments are not used.
-            client_cert_source (bytes): The client certificate source used by the client.
-            universe_domain (str): The universe domain used by the client.
-            use_mtls_endpoint (str): How to use the mTLS endpoint, which depends also on the other parameters.
-                Possible values are "always", "auto", or "never".
-
-        Returns:
-            str: The API endpoint to be used by the client.
-        """
-        if api_override is not None:
-            api_endpoint = api_override
-        elif use_mtls_endpoint == "always" or (use_mtls_endpoint == "auto" and client_cert_source):
-            _default_universe = MetadataServiceClient._DEFAULT_UNIVERSE
-            if universe_domain != _default_universe:
-                raise MutualTLSChannelError(f"mTLS is not supported in any universe other than {_default_universe}.")
-            api_endpoint = MetadataServiceClient.DEFAULT_MTLS_ENDPOINT
-        else:
-            api_endpoint = MetadataServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=universe_domain)
-        return api_endpoint
-
-    @staticmethod
-    def _get_universe_domain(client_universe_domain: Optional[str], universe_domain_env: Optional[str]) -> str:
-        """Return the universe domain used by the client.
-
-        Args:
-            client_universe_domain (Optional[str]): The universe domain configured via the client options.
-            universe_domain_env (Optional[str]): The universe domain configured via the "GOOGLE_CLOUD_UNIVERSE_DOMAIN" environment variable.
-
-        Returns:
-            str: The universe domain to be used by the client.
-
-        Raises:
-            ValueError: If the universe domain is an empty string.
-        """
-        universe_domain = MetadataServiceClient._DEFAULT_UNIVERSE
-        if client_universe_domain is not None:
-            universe_domain = client_universe_domain
-        elif universe_domain_env is not None:
-            universe_domain = universe_domain_env
-        if len(universe_domain.strip()) == 0:
-            raise ValueError("Universe Domain cannot be an empty string.")
-        return universe_domain
-
-    def _validate_universe_domain(self):
-        """Validates client's and credentials' universe domains are consistent.
-
-        Returns:
-            bool: True iff the configured universe domain is valid.
-
-        Raises:
-            ValueError: If the configured universe domain is not valid.
-        """
-
-        # NOTE (b/349488459): universe validation is disabled until further notice.
-        return True
-
-    @property
-    def api_endpoint(self):
-        """Return the API endpoint used by the client instance.
-
-        Returns:
-            str: The API endpoint used by the client instance.
-        """
-        return self._api_endpoint
-
-    @property
-    def universe_domain(self) -> str:
-        """Return the universe domain used by the client instance.
-
-        Returns:
-            str: The universe domain used by the client instance.
-        """
-        return self._universe_domain
-
-    def __init__(self, *,
-            credentials: Optional[ga_credentials.Credentials] = None,
-            transport: Optional[Union[str, MetadataServiceTransport, Callable[..., MetadataServiceTransport]]] = None,
-            client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None,
-            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-            ) -> None:
-        """Instantiates the metadata service client.
-
-        Args:
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-            transport (Optional[Union[str,MetadataServiceTransport,Callable[..., MetadataServiceTransport]]]):
-                The transport to use, or a Callable that constructs and returns a new transport.
-                If a Callable is given, it will be called with the same set of initialization
-                arguments as used in the MetadataServiceTransport constructor.
-                If set to None, a transport is chosen automatically.
-            client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]):
-                Custom options for the client.
-
-                1. The ``api_endpoint`` property can be used to override the
-                default endpoint provided by the client when ``transport`` is
-                not explicitly provided. Only if this property is not set and
-                ``transport`` was not explicitly provided, the endpoint is
-                determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment
-                variable, which have one of the following values:
-                "always" (always use the default mTLS endpoint), "never" (always
-                use the default regular endpoint) and "auto" (auto-switch to the
-                default mTLS endpoint if client certificate is present; this is
-                the default value).
-
-                2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable
-                is "true", then the ``client_cert_source`` property can be used
-                to provide a client certificate for mTLS transport. If
-                not provided, the default SSL client certificate will be used if
-                present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not
-                set, no client certificate will be used.
-
-                3. The ``universe_domain`` property can be used to override the
-                default "googleapis.com" universe. Note that the ``api_endpoint``
-                property still takes precedence; and ``universe_domain`` is
-                currently not supported for mTLS.
-
-            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
-                The client info used to send a user-agent string along with
-                API requests. If ``None``, then default info will be used.
-                Generally, you only need to set this if you're developing
-                your own client library.
-
-        Raises:
-            google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport
-                creation failed for any reason.
-        """
-        self._client_options = client_options
-        if isinstance(self._client_options, dict):
-            self._client_options = client_options_lib.from_dict(self._client_options)
-        if self._client_options is None:
-            self._client_options = client_options_lib.ClientOptions()
-        self._client_options = cast(client_options_lib.ClientOptions, self._client_options)
-
-        universe_domain_opt = getattr(self._client_options, 'universe_domain', None)
-
-        self._use_client_cert, self._use_mtls_endpoint, self._universe_domain_env = MetadataServiceClient._read_environment_variables()
-        self._client_cert_source = MetadataServiceClient._get_client_cert_source(self._client_options.client_cert_source, self._use_client_cert)
-        self._universe_domain = MetadataServiceClient._get_universe_domain(universe_domain_opt, self._universe_domain_env)
-        self._api_endpoint = None # updated below, depending on `transport`
-
-        # Initialize the universe domain validation.
-        self._is_universe_domain_valid = False
-
-        api_key_value = getattr(self._client_options, "api_key", None)
-        if api_key_value and credentials:
-            raise ValueError("client_options.api_key and credentials are mutually exclusive")
-
-        # Save or instantiate the transport.
-        # Ordinarily, we provide the transport, but allowing a custom transport
-        # instance provides an extensibility point for unusual situations.
-        transport_provided = isinstance(transport, MetadataServiceTransport)
-        if transport_provided:
-            # transport is a MetadataServiceTransport instance.
-            if credentials or self._client_options.credentials_file or api_key_value:
-                raise ValueError("When providing a transport instance, "
-                                 "provide its credentials directly.")
-            if self._client_options.scopes:
-                raise ValueError(
-                    "When providing a transport instance, provide its scopes "
-                    "directly."
-                )
-            self._transport = cast(MetadataServiceTransport, transport)
-            self._api_endpoint = self._transport.host
-
-        self._api_endpoint = (self._api_endpoint or
-            MetadataServiceClient._get_api_endpoint(
-                self._client_options.api_endpoint,
-                self._client_cert_source,
-                self._universe_domain,
-                self._use_mtls_endpoint))
-
-        if not transport_provided:
-            import google.auth._default  # type: ignore
-
-            if api_key_value and hasattr(google.auth._default, "get_api_key_credentials"):
-                credentials = google.auth._default.get_api_key_credentials(api_key_value)
-
-            transport_init: Union[Type[MetadataServiceTransport], Callable[..., MetadataServiceTransport]] = (
-                MetadataServiceClient.get_transport_class(transport)
-                if isinstance(transport, str) or transport is None
-                else cast(Callable[..., MetadataServiceTransport], transport)
-            )
-            # initialize with the provided callable or the passed in class
-            self._transport = transport_init(
-                credentials=credentials,
-                credentials_file=self._client_options.credentials_file,
-                host=self._api_endpoint,
-                scopes=self._client_options.scopes,
-                client_cert_source_for_mtls=self._client_cert_source,
-                quota_project_id=self._client_options.quota_project_id,
-                client_info=client_info,
-                always_use_jwt_access=True,
-                api_audience=self._client_options.api_audience,
-            )
-
-    def create_entity(self,
-            request: Optional[Union[metadata_.CreateEntityRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            entity: Optional[metadata_.Entity] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> metadata_.Entity:
-        r"""Create a metadata entity.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_create_entity():
-                # Create a client
-                client = dataplex_v1.MetadataServiceClient()
-
-                # Initialize request argument(s)
-                entity = dataplex_v1.Entity()
-                entity.id = "id_value"
-                entity.type_ = "FILESET"
-                entity.asset = "asset_value"
-                entity.data_path = "data_path_value"
-                entity.system = "BIGQUERY"
-                entity.format_.mime_type = "mime_type_value"
-                entity.schema.user_managed = True
-
-                request = dataplex_v1.CreateEntityRequest(
-                    parent="parent_value",
-                    entity=entity,
-                )
-
-                # Make the request
-                response = client.create_entity(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.CreateEntityRequest, dict]):
-                The request object. Create a metadata entity request.
-            parent (str):
-                Required. The resource name of the parent zone:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}``.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            entity (google.cloud.dataplex_v1.types.Entity):
-                Required. Entity resource.
-                This corresponds to the ``entity`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.Entity:
-                Represents tables and fileset
-                metadata contained within a zone.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent, entity])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, metadata_.CreateEntityRequest):
-            request = metadata_.CreateEntityRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if parent is not None:
-                request.parent = parent
-            if entity is not None:
-                request.entity = entity
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.create_entity]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def update_entity(self,
-            request: Optional[Union[metadata_.UpdateEntityRequest, dict]] = None,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> metadata_.Entity:
-        r"""Update a metadata entity. Only supports full resource
-        update.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_update_entity():
-                # Create a client
-                client = dataplex_v1.MetadataServiceClient()
-
-                # Initialize request argument(s)
-                entity = dataplex_v1.Entity()
-                entity.id = "id_value"
-                entity.type_ = "FILESET"
-                entity.asset = "asset_value"
-                entity.data_path = "data_path_value"
-                entity.system = "BIGQUERY"
-                entity.format_.mime_type = "mime_type_value"
-                entity.schema.user_managed = True
-
-                request = dataplex_v1.UpdateEntityRequest(
-                    entity=entity,
-                )
-
-                # Make the request
-                response = client.update_entity(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.UpdateEntityRequest, dict]):
-                The request object. Update a metadata entity request.
-                The exiting entity will be fully
-                replaced by the entity in the request.
-                The entity ID is mutable. To modify the
-                ID, use the current entity ID in the
-                request URL and specify the new ID in
-                the request body.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.Entity:
-                Represents tables and fileset
-                metadata contained within a zone.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, metadata_.UpdateEntityRequest):
-            request = metadata_.UpdateEntityRequest(request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.update_entity]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("entity.name", request.entity.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def delete_entity(self,
-            request: Optional[Union[metadata_.DeleteEntityRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> None:
-        r"""Delete a metadata entity.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_delete_entity():
-                # Create a client
-                client = dataplex_v1.MetadataServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.DeleteEntityRequest(
-                    name="name_value",
-                    etag="etag_value",
-                )
-
-                # Make the request
-                client.delete_entity(request=request)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.DeleteEntityRequest, dict]):
-                The request object. Delete a metadata entity request.
-            name (str):
-                Required. The resource name of the entity:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/entities/{entity_id}``.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, metadata_.DeleteEntityRequest):
-            request = metadata_.DeleteEntityRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.delete_entity]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-    def get_entity(self,
-            request: Optional[Union[metadata_.GetEntityRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> metadata_.Entity:
-        r"""Get a metadata entity.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_get_entity():
-                # Create a client
-                client = dataplex_v1.MetadataServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.GetEntityRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = client.get_entity(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.GetEntityRequest, dict]):
-                The request object. Get metadata entity request.
-            name (str):
-                Required. The resource name of the entity:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/entities/{entity_id}.``
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.Entity:
-                Represents tables and fileset
-                metadata contained within a zone.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, metadata_.GetEntityRequest):
-            request = metadata_.GetEntityRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.get_entity]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def list_entities(self,
-            request: Optional[Union[metadata_.ListEntitiesRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> pagers.ListEntitiesPager:
-        r"""List metadata entities in a zone.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_list_entities():
-                # Create a client
-                client = dataplex_v1.MetadataServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.ListEntitiesRequest(
-                    parent="parent_value",
-                    view="FILESETS",
-                )
-
-                # Make the request
-                page_result = client.list_entities(request=request)
-
-                # Handle the response
-                for response in page_result:
-                    print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.ListEntitiesRequest, dict]):
-                The request object. List metadata entities request.
-            parent (str):
-                Required. The resource name of the parent zone:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}``.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.services.metadata_service.pagers.ListEntitiesPager:
-                List metadata entities response.
-
-                Iterating over this object will yield
-                results and resolve additional pages
-                automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, metadata_.ListEntitiesRequest):
-            request = metadata_.ListEntitiesRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if parent is not None:
-                request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.list_entities]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__iter__` convenience method.
-        response = pagers.ListEntitiesPager(
-            method=rpc,
-            request=request,
-            response=response,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def create_partition(self,
-            request: Optional[Union[metadata_.CreatePartitionRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            partition: Optional[metadata_.Partition] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> metadata_.Partition:
-        r"""Create a metadata partition.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_create_partition():
-                # Create a client
-                client = dataplex_v1.MetadataServiceClient()
-
-                # Initialize request argument(s)
-                partition = dataplex_v1.Partition()
-                partition.values = ['values_value1', 'values_value2']
-                partition.location = "location_value"
-
-                request = dataplex_v1.CreatePartitionRequest(
-                    parent="parent_value",
-                    partition=partition,
-                )
-
-                # Make the request
-                response = client.create_partition(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.CreatePartitionRequest, dict]):
-                The request object. Create metadata partition request.
-            parent (str):
-                Required. The resource name of the parent zone:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/entities/{entity_id}``.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            partition (google.cloud.dataplex_v1.types.Partition):
-                Required. Partition resource.
-                This corresponds to the ``partition`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.Partition:
-                Represents partition metadata
-                contained within entity instances.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent, partition])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, metadata_.CreatePartitionRequest):
-            request = metadata_.CreatePartitionRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if parent is not None:
-                request.parent = parent
-            if partition is not None:
-                request.partition = partition
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.create_partition]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def delete_partition(self,
-            request: Optional[Union[metadata_.DeletePartitionRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> None:
-        r"""Delete a metadata partition.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_delete_partition():
-                # Create a client
-                client = dataplex_v1.MetadataServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.DeletePartitionRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                client.delete_partition(request=request)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.DeletePartitionRequest, dict]):
-                The request object. Delete metadata partition request.
-            name (str):
-                Required. The resource name of the partition. format:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/entities/{entity_id}/partitions/{partition_value_path}``.
-                The {partition_value_path} segment consists of an
-                ordered sequence of partition values separated by "/".
-                All values must be provided.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, metadata_.DeletePartitionRequest):
-            request = metadata_.DeletePartitionRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.delete_partition]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-    def get_partition(self,
-            request: Optional[Union[metadata_.GetPartitionRequest, dict]] = None,
-            *,
-            name: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> metadata_.Partition:
-        r"""Get a metadata partition of an entity.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_get_partition():
-                # Create a client
-                client = dataplex_v1.MetadataServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.GetPartitionRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = client.get_partition(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.GetPartitionRequest, dict]):
-                The request object. Get metadata partition request.
-            name (str):
-                Required. The resource name of the partition:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/entities/{entity_id}/partitions/{partition_value_path}``.
-                The {partition_value_path} segment consists of an
-                ordered sequence of partition values separated by "/".
-                All values must be provided.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.types.Partition:
-                Represents partition metadata
-                contained within entity instances.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, metadata_.GetPartitionRequest):
-            request = metadata_.GetPartitionRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.get_partition]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("name", request.name),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def list_partitions(self,
-            request: Optional[Union[metadata_.ListPartitionsRequest, dict]] = None,
-            *,
-            parent: Optional[str] = None,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = (),
-            ) -> pagers.ListPartitionsPager:
-        r"""List metadata partitions of an entity.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import dataplex_v1
-
-            def sample_list_partitions():
-                # Create a client
-                client = dataplex_v1.MetadataServiceClient()
-
-                # Initialize request argument(s)
-                request = dataplex_v1.ListPartitionsRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_partitions(request=request)
-
-                # Handle the response
-                for response in page_result:
-                    print(response)
-
-        Args:
-            request (Union[google.cloud.dataplex_v1.types.ListPartitionsRequest, dict]):
-                The request object. List metadata partitions request.
-            parent (str):
-                Required. The resource name of the parent entity:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/entities/{entity_id}``.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.dataplex_v1.services.metadata_service.pagers.ListPartitionsPager:
-                List metadata partitions response.
-
-                Iterating over this object will yield
-                results and resolve additional pages
-                automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # - Quick check: If we got a request object, we should *not* have
-        #   gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError('If the `request` argument is set, then none of '
-                             'the individual field arguments should be set.')
-
-        # - Use the request object if provided (there's no risk of modifying the input as
-        #   there are no flattened fields), or create one.
-        if not isinstance(request, metadata_.ListPartitionsRequest):
-            request = metadata_.ListPartitionsRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if parent is not None:
-                request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.list_partitions]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ("parent", request.parent),
-            )),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__iter__` convenience method.
-        response = pagers.ListPartitionsPager(
-            method=rpc,
-            request=request,
-            response=response,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def __enter__(self) -> "MetadataServiceClient":
-        return self
-
-    def __exit__(self, type, value, traceback):
-        """Releases underlying transport's resources.
-
-        .. warning::
-            ONLY use as a context manager if the transport is NOT shared
-            with other clients! Exiting the with block will CLOSE the transport
-            and may cause errors in other clients!
-        """
-        self.transport.close()
-
-    def list_operations(
-        self,
-        request: Optional[operations_pb2.ListOperationsRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operations_pb2.ListOperationsResponse:
-        r"""Lists operations that match the specified filter in the request.
-
-        Args:
-            request (:class:`~.operations_pb2.ListOperationsRequest`):
-                The request object. Request message for
-                `ListOperations` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.operations_pb2.ListOperationsResponse:
-                Response message for ``ListOperations`` method.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.ListOperationsRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.list_operations]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request, retry=retry, timeout=timeout, metadata=metadata,)
-
-        # Done; return the response.
-        return response
-
-    def get_operation(
-        self,
-        request: Optional[operations_pb2.GetOperationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operations_pb2.Operation:
-        r"""Gets the latest state of a long-running operation.
-
-        Args:
-            request (:class:`~.operations_pb2.GetOperationRequest`):
-                The request object. Request message for
-                `GetOperation` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.operations_pb2.Operation:
-                An ``Operation`` object.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.GetOperationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.get_operation]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request, retry=retry, timeout=timeout, metadata=metadata,)
-
-        # Done; return the response.
-        return response
-
-    def delete_operation(
-        self,
-        request: Optional[operations_pb2.DeleteOperationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> None:
-        r"""Deletes a long-running operation.
-
-        This method indicates that the client is no longer interested
-        in the operation result. It does not cancel the operation.
-        If the server doesn't support this method, it returns
-        `google.rpc.Code.UNIMPLEMENTED`.
-
-        Args:
-            request (:class:`~.operations_pb2.DeleteOperationRequest`):
-                The request object. Request message for
-                `DeleteOperation` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            None
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.DeleteOperationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.delete_operation]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
-
-    def cancel_operation(
-        self,
-        request: Optional[operations_pb2.CancelOperationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> None:
-        r"""Starts asynchronous cancellation on a long-running operation.
-
-        The server makes a best effort to cancel the operation, but success
-        is not guaranteed.  If the server doesn't support this method, it returns
-        `google.rpc.Code.UNIMPLEMENTED`.
-
-        Args:
-            request (:class:`~.operations_pb2.CancelOperationRequest`):
-                The request object. Request message for
-                `CancelOperation` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            None
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.CancelOperationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.cancel_operation]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
-
-    def get_location(
-        self,
-        request: Optional[locations_pb2.GetLocationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> locations_pb2.Location:
-        r"""Gets information about a location.
-
-        Args:
-            request (:class:`~.location_pb2.GetLocationRequest`):
-                The request object. Request message for
-                `GetLocation` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                 if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.location_pb2.Location:
-                Location object.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = locations_pb2.GetLocationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.get_location]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request, retry=retry, timeout=timeout, metadata=metadata,)
-
-        # Done; return the response.
-        return response
-
-    def list_locations(
-        self,
-        request: Optional[locations_pb2.ListLocationsRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> locations_pb2.ListLocationsResponse:
-        r"""Lists information about the supported locations for this service.
-
-        Args:
-            request (:class:`~.location_pb2.ListLocationsRequest`):
-                The request object. Request message for
-                `ListLocations` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                 if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.location_pb2.ListLocationsResponse:
-                Response message for ``ListLocations`` method.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = locations_pb2.ListLocationsRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.list_locations]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("name", request.name),)),
-        )
-
-        # Validate the universe domain.
-        self._validate_universe_domain()
-
-        # Send the request.
-        response = rpc(
-            request, retry=retry, timeout=timeout, metadata=metadata,)
-
-        # Done; return the response.
-        return response
-
-
-DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(gapic_version=package_version.__version__)
-
-
-__all__ = (
-    "MetadataServiceClient",
-)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/metadata_service/pagers.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/metadata_service/pagers.py
deleted file mode 100644
index 2c3cb84a3aa8..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/metadata_service/pagers.py
+++ /dev/null
@@ -1,297 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from google.api_core import gapic_v1
-from google.api_core import retry as retries
-from google.api_core import retry_async as retries_async
-from typing import Any, AsyncIterator, Awaitable, Callable, Sequence, Tuple, Optional, Iterator, Union
-try:
-    OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None]
-    OptionalAsyncRetry = Union[retries_async.AsyncRetry, gapic_v1.method._MethodDefault, None]
-except AttributeError:  # pragma: NO COVER
-    OptionalRetry = Union[retries.Retry, object, None]  # type: ignore
-    OptionalAsyncRetry = Union[retries_async.AsyncRetry, object, None]  # type: ignore
-
-from google.cloud.dataplex_v1.types import metadata_
-
-
-class ListEntitiesPager:
-    """A pager for iterating through ``list_entities`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.dataplex_v1.types.ListEntitiesResponse` object, and
-    provides an ``__iter__`` method to iterate through its
-    ``entities`` field.
-
-    If there are more pages, the ``__iter__`` method will make additional
-    ``ListEntities`` requests and continue to iterate
-    through the ``entities`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.dataplex_v1.types.ListEntitiesResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-    def __init__(self,
-            method: Callable[..., metadata_.ListEntitiesResponse],
-            request: metadata_.ListEntitiesRequest,
-            response: metadata_.ListEntitiesResponse,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = ()):
-        """Instantiate the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.dataplex_v1.types.ListEntitiesRequest):
-                The initial request object.
-            response (google.cloud.dataplex_v1.types.ListEntitiesResponse):
-                The initial response object.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = metadata_.ListEntitiesRequest(request)
-        self._response = response
-        self._retry = retry
-        self._timeout = timeout
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    def pages(self) -> Iterator[metadata_.ListEntitiesResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
-            yield self._response
-
-    def __iter__(self) -> Iterator[metadata_.Entity]:
-        for page in self.pages:
-            yield from page.entities
-
-    def __repr__(self) -> str:
-        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
-
-
-class ListEntitiesAsyncPager:
-    """A pager for iterating through ``list_entities`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.dataplex_v1.types.ListEntitiesResponse` object, and
-    provides an ``__aiter__`` method to iterate through its
-    ``entities`` field.
-
-    If there are more pages, the ``__aiter__`` method will make additional
-    ``ListEntities`` requests and continue to iterate
-    through the ``entities`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.dataplex_v1.types.ListEntitiesResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-    def __init__(self,
-            method: Callable[..., Awaitable[metadata_.ListEntitiesResponse]],
-            request: metadata_.ListEntitiesRequest,
-            response: metadata_.ListEntitiesResponse,
-            *,
-            retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = ()):
-        """Instantiates the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.dataplex_v1.types.ListEntitiesRequest):
-                The initial request object.
-            response (google.cloud.dataplex_v1.types.ListEntitiesResponse):
-                The initial response object.
-            retry (google.api_core.retry.AsyncRetry): Designation of what errors,
-                if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = metadata_.ListEntitiesRequest(request)
-        self._response = response
-        self._retry = retry
-        self._timeout = timeout
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    async def pages(self) -> AsyncIterator[metadata_.ListEntitiesResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = await self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
-            yield self._response
-    def __aiter__(self) -> AsyncIterator[metadata_.Entity]:
-        async def async_generator():
-            async for page in self.pages:
-                for response in page.entities:
-                    yield response
-
-        return async_generator()
-
-    def __repr__(self) -> str:
-        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
-
-
-class ListPartitionsPager:
-    """A pager for iterating through ``list_partitions`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.dataplex_v1.types.ListPartitionsResponse` object, and
-    provides an ``__iter__`` method to iterate through its
-    ``partitions`` field.
-
-    If there are more pages, the ``__iter__`` method will make additional
-    ``ListPartitions`` requests and continue to iterate
-    through the ``partitions`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.dataplex_v1.types.ListPartitionsResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-    def __init__(self,
-            method: Callable[..., metadata_.ListPartitionsResponse],
-            request: metadata_.ListPartitionsRequest,
-            response: metadata_.ListPartitionsResponse,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = ()):
-        """Instantiate the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.dataplex_v1.types.ListPartitionsRequest):
-                The initial request object.
-            response (google.cloud.dataplex_v1.types.ListPartitionsResponse):
-                The initial response object.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = metadata_.ListPartitionsRequest(request)
-        self._response = response
-        self._retry = retry
-        self._timeout = timeout
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    def pages(self) -> Iterator[metadata_.ListPartitionsResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
-            yield self._response
-
-    def __iter__(self) -> Iterator[metadata_.Partition]:
-        for page in self.pages:
-            yield from page.partitions
-
-    def __repr__(self) -> str:
-        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
-
-
-class ListPartitionsAsyncPager:
-    """A pager for iterating through ``list_partitions`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.dataplex_v1.types.ListPartitionsResponse` object, and
-    provides an ``__aiter__`` method to iterate through its
-    ``partitions`` field.
-
-    If there are more pages, the ``__aiter__`` method will make additional
-    ``ListPartitions`` requests and continue to iterate
-    through the ``partitions`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.dataplex_v1.types.ListPartitionsResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-    def __init__(self,
-            method: Callable[..., Awaitable[metadata_.ListPartitionsResponse]],
-            request: metadata_.ListPartitionsRequest,
-            response: metadata_.ListPartitionsResponse,
-            *,
-            retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT,
-            timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-            metadata: Sequence[Tuple[str, str]] = ()):
-        """Instantiates the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.dataplex_v1.types.ListPartitionsRequest):
-                The initial request object.
-            response (google.cloud.dataplex_v1.types.ListPartitionsResponse):
-                The initial response object.
-            retry (google.api_core.retry.AsyncRetry): Designation of what errors,
-                if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = metadata_.ListPartitionsRequest(request)
-        self._response = response
-        self._retry = retry
-        self._timeout = timeout
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    async def pages(self) -> AsyncIterator[metadata_.ListPartitionsResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = await self._method(self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata)
-            yield self._response
-    def __aiter__(self) -> AsyncIterator[metadata_.Partition]:
-        async def async_generator():
-            async for page in self.pages:
-                for response in page.partitions:
-                    yield response
-
-        return async_generator()
-
-    def __repr__(self) -> str:
-        return '{0}<{1!r}>'.format(self.__class__.__name__, self._response)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/metadata_service/transports/README.rst b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/metadata_service/transports/README.rst
deleted file mode 100644
index ff25cadba5cb..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/metadata_service/transports/README.rst
+++ /dev/null
@@ -1,9 +0,0 @@
-
-transport inheritance structure
-_______________________________
-
-`MetadataServiceTransport` is the ABC for all transports.
-- public child `MetadataServiceGrpcTransport` for sync gRPC transport (defined in `grpc.py`).
-- public child `MetadataServiceGrpcAsyncIOTransport` for async gRPC transport (defined in `grpc_asyncio.py`).
-- private child `_BaseMetadataServiceRestTransport` for base REST transport with inner classes `_BaseMETHOD` (defined in `rest_base.py`).
-- public child `MetadataServiceRestTransport` for sync REST transport with inner classes `METHOD` derived from the parent's corresponding `_BaseMETHOD` classes (defined in `rest.py`).
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/metadata_service/transports/__init__.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/metadata_service/transports/__init__.py
deleted file mode 100644
index 74054de3d263..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/metadata_service/transports/__init__.py
+++ /dev/null
@@ -1,33 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from collections import OrderedDict
-from typing import Dict, Type
-
-from .base import MetadataServiceTransport
-from .grpc import MetadataServiceGrpcTransport
-from .grpc_asyncio import MetadataServiceGrpcAsyncIOTransport
-
-
-# Compile a registry of transports.
-_transport_registry = OrderedDict()  # type: Dict[str, Type[MetadataServiceTransport]]
-_transport_registry['grpc'] = MetadataServiceGrpcTransport
-_transport_registry['grpc_asyncio'] = MetadataServiceGrpcAsyncIOTransport
-
-__all__ = (
-    'MetadataServiceTransport',
-    'MetadataServiceGrpcTransport',
-    'MetadataServiceGrpcAsyncIOTransport',
-)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/metadata_service/transports/base.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/metadata_service/transports/base.py
deleted file mode 100644
index 88a53d1b4543..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/metadata_service/transports/base.py
+++ /dev/null
@@ -1,389 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-import abc
-from typing import Awaitable, Callable, Dict, Optional, Sequence, Union
-
-from google.cloud.dataplex_v1 import gapic_version as package_version
-
-import google.auth  # type: ignore
-import google.api_core
-from google.api_core import exceptions as core_exceptions
-from google.api_core import gapic_v1
-from google.api_core import retry as retries
-from google.auth import credentials as ga_credentials  # type: ignore
-from google.oauth2 import service_account # type: ignore
-
-from google.cloud.dataplex_v1.types import metadata_
-from google.cloud.location import locations_pb2 # type: ignore
-from google.iam.v1 import iam_policy_pb2  # type: ignore
-from google.iam.v1 import policy_pb2  # type: ignore
-from google.longrunning import operations_pb2 # type: ignore
-from google.protobuf import empty_pb2  # type: ignore
-
-DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(gapic_version=package_version.__version__)
-
-
-class MetadataServiceTransport(abc.ABC):
-    """Abstract transport class for MetadataService."""
-
-    AUTH_SCOPES = (
-        'https://www.googleapis.com/auth/cloud-platform',
-    )
-
-    DEFAULT_HOST: str = 'dataplex.googleapis.com'
-    def __init__(
-            self, *,
-            host: str = DEFAULT_HOST,
-            credentials: Optional[ga_credentials.Credentials] = None,
-            credentials_file: Optional[str] = None,
-            scopes: Optional[Sequence[str]] = None,
-            quota_project_id: Optional[str] = None,
-            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-            always_use_jwt_access: Optional[bool] = False,
-            api_audience: Optional[str] = None,
-            **kwargs,
-            ) -> None:
-        """Instantiate the transport.
-
-        Args:
-            host (Optional[str]):
-                 The hostname to connect to (default: 'dataplex.googleapis.com').
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-                This argument is mutually exclusive with credentials.
-            scopes (Optional[Sequence[str]]): A list of scopes.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
-                The client info used to send a user-agent string along with
-                API requests. If ``None``, then default info will be used.
-                Generally, you only need to set this if you're developing
-                your own client library.
-            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
-                be used for service account credentials.
-        """
-
-        scopes_kwargs = {"scopes": scopes, "default_scopes": self.AUTH_SCOPES}
-
-        # Save the scopes.
-        self._scopes = scopes
-        if not hasattr(self, "_ignore_credentials"):
-            self._ignore_credentials: bool = False
-
-        # If no credentials are provided, then determine the appropriate
-        # defaults.
-        if credentials and credentials_file:
-            raise core_exceptions.DuplicateCredentialArgs("'credentials_file' and 'credentials' are mutually exclusive")
-
-        if credentials_file is not None:
-            credentials, _ = google.auth.load_credentials_from_file(
-                                credentials_file,
-                                **scopes_kwargs,
-                                quota_project_id=quota_project_id
-                            )
-        elif credentials is None and not self._ignore_credentials:
-            credentials, _ = google.auth.default(**scopes_kwargs, quota_project_id=quota_project_id)
-            # Don't apply audience if the credentials file passed from user.
-            if hasattr(credentials, "with_gdch_audience"):
-                credentials = credentials.with_gdch_audience(api_audience if api_audience else host)
-
-        # If the credentials are service account credentials, then always try to use self signed JWT.
-        if always_use_jwt_access and isinstance(credentials, service_account.Credentials) and hasattr(service_account.Credentials, "with_always_use_jwt_access"):
-            credentials = credentials.with_always_use_jwt_access(True)
-
-        # Save the credentials.
-        self._credentials = credentials
-
-        # Save the hostname. Default to port 443 (HTTPS) if none is specified.
-        if ':' not in host:
-            host += ':443'
-        self._host = host
-
-    @property
-    def host(self):
-        return self._host
-
-    def _prep_wrapped_messages(self, client_info):
-        # Precompute the wrapped methods.
-        self._wrapped_methods = {
-            self.create_entity: gapic_v1.method.wrap_method(
-                self.create_entity,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.update_entity: gapic_v1.method.wrap_method(
-                self.update_entity,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.delete_entity: gapic_v1.method.wrap_method(
-                self.delete_entity,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.get_entity: gapic_v1.method.wrap_method(
-                self.get_entity,
-                default_retry=retries.Retry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.list_entities: gapic_v1.method.wrap_method(
-                self.list_entities,
-                default_retry=retries.Retry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.create_partition: gapic_v1.method.wrap_method(
-                self.create_partition,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.delete_partition: gapic_v1.method.wrap_method(
-                self.delete_partition,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.get_partition: gapic_v1.method.wrap_method(
-                self.get_partition,
-                default_retry=retries.Retry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.list_partitions: gapic_v1.method.wrap_method(
-                self.list_partitions,
-                default_retry=retries.Retry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.get_location: gapic_v1.method.wrap_method(
-                self.get_location,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.list_locations: gapic_v1.method.wrap_method(
-                self.list_locations,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.cancel_operation: gapic_v1.method.wrap_method(
-                self.cancel_operation,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.delete_operation: gapic_v1.method.wrap_method(
-                self.delete_operation,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.get_operation: gapic_v1.method.wrap_method(
-                self.get_operation,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.list_operations: gapic_v1.method.wrap_method(
-                self.list_operations,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-         }
-
-    def close(self):
-        """Closes resources associated with the transport.
-
-       .. warning::
-            Only call this method if the transport is NOT shared
-            with other clients - this may cause errors in other clients!
-        """
-        raise NotImplementedError()
-
-    @property
-    def create_entity(self) -> Callable[
-            [metadata_.CreateEntityRequest],
-            Union[
-                metadata_.Entity,
-                Awaitable[metadata_.Entity]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def update_entity(self) -> Callable[
-            [metadata_.UpdateEntityRequest],
-            Union[
-                metadata_.Entity,
-                Awaitable[metadata_.Entity]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def delete_entity(self) -> Callable[
-            [metadata_.DeleteEntityRequest],
-            Union[
-                empty_pb2.Empty,
-                Awaitable[empty_pb2.Empty]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def get_entity(self) -> Callable[
-            [metadata_.GetEntityRequest],
-            Union[
-                metadata_.Entity,
-                Awaitable[metadata_.Entity]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def list_entities(self) -> Callable[
-            [metadata_.ListEntitiesRequest],
-            Union[
-                metadata_.ListEntitiesResponse,
-                Awaitable[metadata_.ListEntitiesResponse]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def create_partition(self) -> Callable[
-            [metadata_.CreatePartitionRequest],
-            Union[
-                metadata_.Partition,
-                Awaitable[metadata_.Partition]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def delete_partition(self) -> Callable[
-            [metadata_.DeletePartitionRequest],
-            Union[
-                empty_pb2.Empty,
-                Awaitable[empty_pb2.Empty]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def get_partition(self) -> Callable[
-            [metadata_.GetPartitionRequest],
-            Union[
-                metadata_.Partition,
-                Awaitable[metadata_.Partition]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def list_partitions(self) -> Callable[
-            [metadata_.ListPartitionsRequest],
-            Union[
-                metadata_.ListPartitionsResponse,
-                Awaitable[metadata_.ListPartitionsResponse]
-            ]]:
-        raise NotImplementedError()
-
-    @property
-    def list_operations(
-        self,
-    ) -> Callable[
-        [operations_pb2.ListOperationsRequest],
-        Union[operations_pb2.ListOperationsResponse, Awaitable[operations_pb2.ListOperationsResponse]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def get_operation(
-        self,
-    ) -> Callable[
-        [operations_pb2.GetOperationRequest],
-        Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def cancel_operation(
-        self,
-    ) -> Callable[
-        [operations_pb2.CancelOperationRequest],
-        None,
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def delete_operation(
-        self,
-    ) -> Callable[
-        [operations_pb2.DeleteOperationRequest],
-        None,
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def get_location(self,
-    ) -> Callable[
-        [locations_pb2.GetLocationRequest],
-        Union[locations_pb2.Location, Awaitable[locations_pb2.Location]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def list_locations(self,
-    ) -> Callable[
-        [locations_pb2.ListLocationsRequest],
-        Union[locations_pb2.ListLocationsResponse, Awaitable[locations_pb2.ListLocationsResponse]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def kind(self) -> str:
-        raise NotImplementedError()
-
-
-__all__ = (
-    'MetadataServiceTransport',
-)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/metadata_service/transports/grpc.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/metadata_service/transports/grpc.py
deleted file mode 100644
index b89c63165152..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/metadata_service/transports/grpc.py
+++ /dev/null
@@ -1,593 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-import warnings
-from typing import Callable, Dict, Optional, Sequence, Tuple, Union
-
-from google.api_core import grpc_helpers
-from google.api_core import gapic_v1
-import google.auth                         # type: ignore
-from google.auth import credentials as ga_credentials  # type: ignore
-from google.auth.transport.grpc import SslCredentials  # type: ignore
-
-import grpc  # type: ignore
-
-from google.cloud.dataplex_v1.types import metadata_
-from google.cloud.location import locations_pb2 # type: ignore
-from google.iam.v1 import iam_policy_pb2  # type: ignore
-from google.iam.v1 import policy_pb2  # type: ignore
-from google.longrunning import operations_pb2 # type: ignore
-from google.protobuf import empty_pb2  # type: ignore
-from .base import MetadataServiceTransport, DEFAULT_CLIENT_INFO
-
-
-class MetadataServiceGrpcTransport(MetadataServiceTransport):
-    """gRPC backend transport for MetadataService.
-
-    Metadata service manages metadata resources such as tables,
-    filesets and partitions.
-
-    This class defines the same methods as the primary client, so the
-    primary client can load the underlying transport implementation
-    and call it.
-
-    It sends protocol buffers over the wire using gRPC (which is built on
-    top of HTTP/2); the ``grpcio`` package must be installed.
-    """
-    _stubs: Dict[str, Callable]
-
-    def __init__(self, *,
-            host: str = 'dataplex.googleapis.com',
-            credentials: Optional[ga_credentials.Credentials] = None,
-            credentials_file: Optional[str] = None,
-            scopes: Optional[Sequence[str]] = None,
-            channel: Optional[Union[grpc.Channel, Callable[..., grpc.Channel]]] = None,
-            api_mtls_endpoint: Optional[str] = None,
-            client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
-            ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None,
-            client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
-            quota_project_id: Optional[str] = None,
-            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-            always_use_jwt_access: Optional[bool] = False,
-            api_audience: Optional[str] = None,
-            ) -> None:
-        """Instantiate the transport.
-
-        Args:
-            host (Optional[str]):
-                 The hostname to connect to (default: 'dataplex.googleapis.com').
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-                This argument is ignored if a ``channel`` instance is provided.
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-                This argument is ignored if a ``channel`` instance is provided.
-            scopes (Optional(Sequence[str])): A list of scopes. This argument is
-                ignored if a ``channel`` instance is provided.
-            channel (Optional[Union[grpc.Channel, Callable[..., grpc.Channel]]]):
-                A ``Channel`` instance through which to make calls, or a Callable
-                that constructs and returns one. If set to None, ``self.create_channel``
-                is used to create the channel. If a Callable is given, it will be called
-                with the same arguments as used in ``self.create_channel``.
-            api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint.
-                If provided, it overrides the ``host`` argument and tries to create
-                a mutual TLS channel with client SSL credentials from
-                ``client_cert_source`` or application default SSL credentials.
-            client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]):
-                Deprecated. A callback to provide client SSL certificate bytes and
-                private key bytes, both in PEM format. It is ignored if
-                ``api_mtls_endpoint`` is None.
-            ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials
-                for the grpc channel. It is ignored if a ``channel`` instance is provided.
-            client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]):
-                A callback to provide client certificate bytes and private key bytes,
-                both in PEM format. It is used to configure a mutual TLS channel. It is
-                ignored if a ``channel`` instance or ``ssl_channel_credentials`` is provided.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
-                The client info used to send a user-agent string along with
-                API requests. If ``None``, then default info will be used.
-                Generally, you only need to set this if you're developing
-                your own client library.
-            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
-                be used for service account credentials.
-
-        Raises:
-          google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport
-              creation failed for any reason.
-          google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials``
-              and ``credentials_file`` are passed.
-        """
-        self._grpc_channel = None
-        self._ssl_channel_credentials = ssl_channel_credentials
-        self._stubs: Dict[str, Callable] = {}
-
-        if api_mtls_endpoint:
-            warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning)
-        if client_cert_source:
-            warnings.warn("client_cert_source is deprecated", DeprecationWarning)
-
-        if isinstance(channel, grpc.Channel):
-            # Ignore credentials if a channel was passed.
-            credentials = None
-            self._ignore_credentials = True
-            # If a channel was explicitly provided, set it.
-            self._grpc_channel = channel
-            self._ssl_channel_credentials = None
-
-        else:
-            if api_mtls_endpoint:
-                host = api_mtls_endpoint
-
-                # Create SSL credentials with client_cert_source or application
-                # default SSL credentials.
-                if client_cert_source:
-                    cert, key = client_cert_source()
-                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
-                        certificate_chain=cert, private_key=key
-                    )
-                else:
-                    self._ssl_channel_credentials = SslCredentials().ssl_credentials
-
-            else:
-                if client_cert_source_for_mtls and not ssl_channel_credentials:
-                    cert, key = client_cert_source_for_mtls()
-                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
-                        certificate_chain=cert, private_key=key
-                    )
-
-        # The base transport sets the host, credentials and scopes
-        super().__init__(
-            host=host,
-            credentials=credentials,
-            credentials_file=credentials_file,
-            scopes=scopes,
-            quota_project_id=quota_project_id,
-            client_info=client_info,
-            always_use_jwt_access=always_use_jwt_access,
-            api_audience=api_audience,
-        )
-
-        if not self._grpc_channel:
-            # initialize with the provided callable or the default channel
-            channel_init = channel or type(self).create_channel
-            self._grpc_channel = channel_init(
-                self._host,
-                # use the credentials which are saved
-                credentials=self._credentials,
-                # Set ``credentials_file`` to ``None`` here as
-                # the credentials that we saved earlier should be used.
-                credentials_file=None,
-                scopes=self._scopes,
-                ssl_credentials=self._ssl_channel_credentials,
-                quota_project_id=quota_project_id,
-                options=[
-                    ("grpc.max_send_message_length", -1),
-                    ("grpc.max_receive_message_length", -1),
-                ],
-            )
-
-        # Wrap messages. This must be done after self._grpc_channel exists
-        self._prep_wrapped_messages(client_info)
-
-    @classmethod
-    def create_channel(cls,
-                       host: str = 'dataplex.googleapis.com',
-                       credentials: Optional[ga_credentials.Credentials] = None,
-                       credentials_file: Optional[str] = None,
-                       scopes: Optional[Sequence[str]] = None,
-                       quota_project_id: Optional[str] = None,
-                       **kwargs) -> grpc.Channel:
-        """Create and return a gRPC channel object.
-        Args:
-            host (Optional[str]): The host for the channel to use.
-            credentials (Optional[~.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify this application to the service. If
-                none are specified, the client will attempt to ascertain
-                the credentials from the environment.
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-                This argument is mutually exclusive with credentials.
-            scopes (Optional[Sequence[str]]): A optional list of scopes needed for this
-                service. These are only used when credentials are not specified and
-                are passed to :func:`google.auth.default`.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            kwargs (Optional[dict]): Keyword arguments, which are passed to the
-                channel creation.
-        Returns:
-            grpc.Channel: A gRPC channel object.
-
-        Raises:
-            google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials``
-              and ``credentials_file`` are passed.
-        """
-
-        return grpc_helpers.create_channel(
-            host,
-            credentials=credentials,
-            credentials_file=credentials_file,
-            quota_project_id=quota_project_id,
-            default_scopes=cls.AUTH_SCOPES,
-            scopes=scopes,
-            default_host=cls.DEFAULT_HOST,
-            **kwargs
-        )
-
-    @property
-    def grpc_channel(self) -> grpc.Channel:
-        """Return the channel designed to connect to this service.
-        """
-        return self._grpc_channel
-
-    @property
-    def create_entity(self) -> Callable[
-            [metadata_.CreateEntityRequest],
-            metadata_.Entity]:
-        r"""Return a callable for the create entity method over gRPC.
-
-        Create a metadata entity.
-
-        Returns:
-            Callable[[~.CreateEntityRequest],
-                    ~.Entity]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'create_entity' not in self._stubs:
-            self._stubs['create_entity'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.MetadataService/CreateEntity',
-                request_serializer=metadata_.CreateEntityRequest.serialize,
-                response_deserializer=metadata_.Entity.deserialize,
-            )
-        return self._stubs['create_entity']
-
-    @property
-    def update_entity(self) -> Callable[
-            [metadata_.UpdateEntityRequest],
-            metadata_.Entity]:
-        r"""Return a callable for the update entity method over gRPC.
-
-        Update a metadata entity. Only supports full resource
-        update.
-
-        Returns:
-            Callable[[~.UpdateEntityRequest],
-                    ~.Entity]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'update_entity' not in self._stubs:
-            self._stubs['update_entity'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.MetadataService/UpdateEntity',
-                request_serializer=metadata_.UpdateEntityRequest.serialize,
-                response_deserializer=metadata_.Entity.deserialize,
-            )
-        return self._stubs['update_entity']
-
-    @property
-    def delete_entity(self) -> Callable[
-            [metadata_.DeleteEntityRequest],
-            empty_pb2.Empty]:
-        r"""Return a callable for the delete entity method over gRPC.
-
-        Delete a metadata entity.
-
-        Returns:
-            Callable[[~.DeleteEntityRequest],
-                    ~.Empty]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'delete_entity' not in self._stubs:
-            self._stubs['delete_entity'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.MetadataService/DeleteEntity',
-                request_serializer=metadata_.DeleteEntityRequest.serialize,
-                response_deserializer=empty_pb2.Empty.FromString,
-            )
-        return self._stubs['delete_entity']
-
-    @property
-    def get_entity(self) -> Callable[
-            [metadata_.GetEntityRequest],
-            metadata_.Entity]:
-        r"""Return a callable for the get entity method over gRPC.
-
-        Get a metadata entity.
-
-        Returns:
-            Callable[[~.GetEntityRequest],
-                    ~.Entity]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'get_entity' not in self._stubs:
-            self._stubs['get_entity'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.MetadataService/GetEntity',
-                request_serializer=metadata_.GetEntityRequest.serialize,
-                response_deserializer=metadata_.Entity.deserialize,
-            )
-        return self._stubs['get_entity']
-
-    @property
-    def list_entities(self) -> Callable[
-            [metadata_.ListEntitiesRequest],
-            metadata_.ListEntitiesResponse]:
-        r"""Return a callable for the list entities method over gRPC.
-
-        List metadata entities in a zone.
-
-        Returns:
-            Callable[[~.ListEntitiesRequest],
-                    ~.ListEntitiesResponse]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'list_entities' not in self._stubs:
-            self._stubs['list_entities'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.MetadataService/ListEntities',
-                request_serializer=metadata_.ListEntitiesRequest.serialize,
-                response_deserializer=metadata_.ListEntitiesResponse.deserialize,
-            )
-        return self._stubs['list_entities']
-
-    @property
-    def create_partition(self) -> Callable[
-            [metadata_.CreatePartitionRequest],
-            metadata_.Partition]:
-        r"""Return a callable for the create partition method over gRPC.
-
-        Create a metadata partition.
-
-        Returns:
-            Callable[[~.CreatePartitionRequest],
-                    ~.Partition]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'create_partition' not in self._stubs:
-            self._stubs['create_partition'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.MetadataService/CreatePartition',
-                request_serializer=metadata_.CreatePartitionRequest.serialize,
-                response_deserializer=metadata_.Partition.deserialize,
-            )
-        return self._stubs['create_partition']
-
-    @property
-    def delete_partition(self) -> Callable[
-            [metadata_.DeletePartitionRequest],
-            empty_pb2.Empty]:
-        r"""Return a callable for the delete partition method over gRPC.
-
-        Delete a metadata partition.
-
-        Returns:
-            Callable[[~.DeletePartitionRequest],
-                    ~.Empty]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'delete_partition' not in self._stubs:
-            self._stubs['delete_partition'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.MetadataService/DeletePartition',
-                request_serializer=metadata_.DeletePartitionRequest.serialize,
-                response_deserializer=empty_pb2.Empty.FromString,
-            )
-        return self._stubs['delete_partition']
-
-    @property
-    def get_partition(self) -> Callable[
-            [metadata_.GetPartitionRequest],
-            metadata_.Partition]:
-        r"""Return a callable for the get partition method over gRPC.
-
-        Get a metadata partition of an entity.
-
-        Returns:
-            Callable[[~.GetPartitionRequest],
-                    ~.Partition]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'get_partition' not in self._stubs:
-            self._stubs['get_partition'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.MetadataService/GetPartition',
-                request_serializer=metadata_.GetPartitionRequest.serialize,
-                response_deserializer=metadata_.Partition.deserialize,
-            )
-        return self._stubs['get_partition']
-
-    @property
-    def list_partitions(self) -> Callable[
-            [metadata_.ListPartitionsRequest],
-            metadata_.ListPartitionsResponse]:
-        r"""Return a callable for the list partitions method over gRPC.
-
-        List metadata partitions of an entity.
-
-        Returns:
-            Callable[[~.ListPartitionsRequest],
-                    ~.ListPartitionsResponse]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'list_partitions' not in self._stubs:
-            self._stubs['list_partitions'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.MetadataService/ListPartitions',
-                request_serializer=metadata_.ListPartitionsRequest.serialize,
-                response_deserializer=metadata_.ListPartitionsResponse.deserialize,
-            )
-        return self._stubs['list_partitions']
-
-    def close(self):
-        self.grpc_channel.close()
-
-    @property
-    def delete_operation(
-        self,
-    ) -> Callable[[operations_pb2.DeleteOperationRequest], None]:
-        r"""Return a callable for the delete_operation method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "delete_operation" not in self._stubs:
-            self._stubs["delete_operation"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/DeleteOperation",
-                request_serializer=operations_pb2.DeleteOperationRequest.SerializeToString,
-                response_deserializer=None,
-            )
-        return self._stubs["delete_operation"]
-
-    @property
-    def cancel_operation(
-        self,
-    ) -> Callable[[operations_pb2.CancelOperationRequest], None]:
-        r"""Return a callable for the cancel_operation method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "cancel_operation" not in self._stubs:
-            self._stubs["cancel_operation"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/CancelOperation",
-                request_serializer=operations_pb2.CancelOperationRequest.SerializeToString,
-                response_deserializer=None,
-            )
-        return self._stubs["cancel_operation"]
-
-    @property
-    def get_operation(
-        self,
-    ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]:
-        r"""Return a callable for the get_operation method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "get_operation" not in self._stubs:
-            self._stubs["get_operation"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/GetOperation",
-                request_serializer=operations_pb2.GetOperationRequest.SerializeToString,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs["get_operation"]
-
-    @property
-    def list_operations(
-        self,
-    ) -> Callable[[operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse]:
-        r"""Return a callable for the list_operations method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "list_operations" not in self._stubs:
-            self._stubs["list_operations"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/ListOperations",
-                request_serializer=operations_pb2.ListOperationsRequest.SerializeToString,
-                response_deserializer=operations_pb2.ListOperationsResponse.FromString,
-            )
-        return self._stubs["list_operations"]
-
-    @property
-    def list_locations(
-        self,
-    ) -> Callable[[locations_pb2.ListLocationsRequest], locations_pb2.ListLocationsResponse]:
-        r"""Return a callable for the list locations method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "list_locations" not in self._stubs:
-            self._stubs["list_locations"] = self.grpc_channel.unary_unary(
-                "/google.cloud.location.Locations/ListLocations",
-                request_serializer=locations_pb2.ListLocationsRequest.SerializeToString,
-                response_deserializer=locations_pb2.ListLocationsResponse.FromString,
-            )
-        return self._stubs["list_locations"]
-
-    @property
-    def get_location(
-        self,
-    ) -> Callable[[locations_pb2.GetLocationRequest], locations_pb2.Location]:
-        r"""Return a callable for the list locations method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "get_location" not in self._stubs:
-            self._stubs["get_location"] = self.grpc_channel.unary_unary(
-                "/google.cloud.location.Locations/GetLocation",
-                request_serializer=locations_pb2.GetLocationRequest.SerializeToString,
-                response_deserializer=locations_pb2.Location.FromString,
-            )
-        return self._stubs["get_location"]
-
-    @property
-    def kind(self) -> str:
-        return "grpc"
-
-
-__all__ = (
-    'MetadataServiceGrpcTransport',
-)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/metadata_service/transports/grpc_asyncio.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/metadata_service/transports/grpc_asyncio.py
deleted file mode 100644
index 188524e825f9..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/services/metadata_service/transports/grpc_asyncio.py
+++ /dev/null
@@ -1,720 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-import inspect
-import warnings
-from typing import Awaitable, Callable, Dict, Optional, Sequence, Tuple, Union
-
-from google.api_core import gapic_v1
-from google.api_core import grpc_helpers_async
-from google.api_core import exceptions as core_exceptions
-from google.api_core import retry_async as retries
-from google.auth import credentials as ga_credentials   # type: ignore
-from google.auth.transport.grpc import SslCredentials  # type: ignore
-
-import grpc                        # type: ignore
-from grpc.experimental import aio  # type: ignore
-
-from google.cloud.dataplex_v1.types import metadata_
-from google.cloud.location import locations_pb2 # type: ignore
-from google.iam.v1 import iam_policy_pb2  # type: ignore
-from google.iam.v1 import policy_pb2  # type: ignore
-from google.longrunning import operations_pb2 # type: ignore
-from google.protobuf import empty_pb2  # type: ignore
-from .base import MetadataServiceTransport, DEFAULT_CLIENT_INFO
-from .grpc import MetadataServiceGrpcTransport
-
-
-class MetadataServiceGrpcAsyncIOTransport(MetadataServiceTransport):
-    """gRPC AsyncIO backend transport for MetadataService.
-
-    Metadata service manages metadata resources such as tables,
-    filesets and partitions.
-
-    This class defines the same methods as the primary client, so the
-    primary client can load the underlying transport implementation
-    and call it.
-
-    It sends protocol buffers over the wire using gRPC (which is built on
-    top of HTTP/2); the ``grpcio`` package must be installed.
-    """
-
-    _grpc_channel: aio.Channel
-    _stubs: Dict[str, Callable] = {}
-
-    @classmethod
-    def create_channel(cls,
-                       host: str = 'dataplex.googleapis.com',
-                       credentials: Optional[ga_credentials.Credentials] = None,
-                       credentials_file: Optional[str] = None,
-                       scopes: Optional[Sequence[str]] = None,
-                       quota_project_id: Optional[str] = None,
-                       **kwargs) -> aio.Channel:
-        """Create and return a gRPC AsyncIO channel object.
-        Args:
-            host (Optional[str]): The host for the channel to use.
-            credentials (Optional[~.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify this application to the service. If
-                none are specified, the client will attempt to ascertain
-                the credentials from the environment.
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-            scopes (Optional[Sequence[str]]): A optional list of scopes needed for this
-                service. These are only used when credentials are not specified and
-                are passed to :func:`google.auth.default`.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            kwargs (Optional[dict]): Keyword arguments, which are passed to the
-                channel creation.
-        Returns:
-            aio.Channel: A gRPC AsyncIO channel object.
-        """
-
-        return grpc_helpers_async.create_channel(
-            host,
-            credentials=credentials,
-            credentials_file=credentials_file,
-            quota_project_id=quota_project_id,
-            default_scopes=cls.AUTH_SCOPES,
-            scopes=scopes,
-            default_host=cls.DEFAULT_HOST,
-            **kwargs
-        )
-
-    def __init__(self, *,
-            host: str = 'dataplex.googleapis.com',
-            credentials: Optional[ga_credentials.Credentials] = None,
-            credentials_file: Optional[str] = None,
-            scopes: Optional[Sequence[str]] = None,
-            channel: Optional[Union[aio.Channel, Callable[..., aio.Channel]]] = None,
-            api_mtls_endpoint: Optional[str] = None,
-            client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
-            ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None,
-            client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
-            quota_project_id: Optional[str] = None,
-            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-            always_use_jwt_access: Optional[bool] = False,
-            api_audience: Optional[str] = None,
-            ) -> None:
-        """Instantiate the transport.
-
-        Args:
-            host (Optional[str]):
-                 The hostname to connect to (default: 'dataplex.googleapis.com').
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-                This argument is ignored if a ``channel`` instance is provided.
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-                This argument is ignored if a ``channel`` instance is provided.
-            scopes (Optional[Sequence[str]]): A optional list of scopes needed for this
-                service. These are only used when credentials are not specified and
-                are passed to :func:`google.auth.default`.
-            channel (Optional[Union[aio.Channel, Callable[..., aio.Channel]]]):
-                A ``Channel`` instance through which to make calls, or a Callable
-                that constructs and returns one. If set to None, ``self.create_channel``
-                is used to create the channel. If a Callable is given, it will be called
-                with the same arguments as used in ``self.create_channel``.
-            api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint.
-                If provided, it overrides the ``host`` argument and tries to create
-                a mutual TLS channel with client SSL credentials from
-                ``client_cert_source`` or application default SSL credentials.
-            client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]):
-                Deprecated. A callback to provide client SSL certificate bytes and
-                private key bytes, both in PEM format. It is ignored if
-                ``api_mtls_endpoint`` is None.
-            ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials
-                for the grpc channel. It is ignored if a ``channel`` instance is provided.
-            client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]):
-                A callback to provide client certificate bytes and private key bytes,
-                both in PEM format. It is used to configure a mutual TLS channel. It is
-                ignored if a ``channel`` instance or ``ssl_channel_credentials`` is provided.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
-                The client info used to send a user-agent string along with
-                API requests. If ``None``, then default info will be used.
-                Generally, you only need to set this if you're developing
-                your own client library.
-            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
-                be used for service account credentials.
-
-        Raises:
-            google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport
-              creation failed for any reason.
-          google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials``
-              and ``credentials_file`` are passed.
-        """
-        self._grpc_channel = None
-        self._ssl_channel_credentials = ssl_channel_credentials
-        self._stubs: Dict[str, Callable] = {}
-
-        if api_mtls_endpoint:
-            warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning)
-        if client_cert_source:
-            warnings.warn("client_cert_source is deprecated", DeprecationWarning)
-
-        if isinstance(channel, aio.Channel):
-            # Ignore credentials if a channel was passed.
-            credentials = None
-            self._ignore_credentials = True
-            # If a channel was explicitly provided, set it.
-            self._grpc_channel = channel
-            self._ssl_channel_credentials = None
-        else:
-            if api_mtls_endpoint:
-                host = api_mtls_endpoint
-
-                # Create SSL credentials with client_cert_source or application
-                # default SSL credentials.
-                if client_cert_source:
-                    cert, key = client_cert_source()
-                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
-                        certificate_chain=cert, private_key=key
-                    )
-                else:
-                    self._ssl_channel_credentials = SslCredentials().ssl_credentials
-
-            else:
-                if client_cert_source_for_mtls and not ssl_channel_credentials:
-                    cert, key = client_cert_source_for_mtls()
-                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
-                        certificate_chain=cert, private_key=key
-                    )
-
-        # The base transport sets the host, credentials and scopes
-        super().__init__(
-            host=host,
-            credentials=credentials,
-            credentials_file=credentials_file,
-            scopes=scopes,
-            quota_project_id=quota_project_id,
-            client_info=client_info,
-            always_use_jwt_access=always_use_jwt_access,
-            api_audience=api_audience,
-        )
-
-        if not self._grpc_channel:
-            # initialize with the provided callable or the default channel
-            channel_init = channel or type(self).create_channel
-            self._grpc_channel = channel_init(
-                self._host,
-                # use the credentials which are saved
-                credentials=self._credentials,
-                # Set ``credentials_file`` to ``None`` here as
-                # the credentials that we saved earlier should be used.
-                credentials_file=None,
-                scopes=self._scopes,
-                ssl_credentials=self._ssl_channel_credentials,
-                quota_project_id=quota_project_id,
-                options=[
-                    ("grpc.max_send_message_length", -1),
-                    ("grpc.max_receive_message_length", -1),
-                ],
-            )
-
-        # Wrap messages. This must be done after self._grpc_channel exists
-        self._wrap_with_kind = "kind" in inspect.signature(gapic_v1.method_async.wrap_method).parameters
-        self._prep_wrapped_messages(client_info)
-
-    @property
-    def grpc_channel(self) -> aio.Channel:
-        """Create the channel designed to connect to this service.
-
-        This property caches on the instance; repeated calls return
-        the same channel.
-        """
-        # Return the channel from cache.
-        return self._grpc_channel
-
-    @property
-    def create_entity(self) -> Callable[
-            [metadata_.CreateEntityRequest],
-            Awaitable[metadata_.Entity]]:
-        r"""Return a callable for the create entity method over gRPC.
-
-        Create a metadata entity.
-
-        Returns:
-            Callable[[~.CreateEntityRequest],
-                    Awaitable[~.Entity]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'create_entity' not in self._stubs:
-            self._stubs['create_entity'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.MetadataService/CreateEntity',
-                request_serializer=metadata_.CreateEntityRequest.serialize,
-                response_deserializer=metadata_.Entity.deserialize,
-            )
-        return self._stubs['create_entity']
-
-    @property
-    def update_entity(self) -> Callable[
-            [metadata_.UpdateEntityRequest],
-            Awaitable[metadata_.Entity]]:
-        r"""Return a callable for the update entity method over gRPC.
-
-        Update a metadata entity. Only supports full resource
-        update.
-
-        Returns:
-            Callable[[~.UpdateEntityRequest],
-                    Awaitable[~.Entity]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'update_entity' not in self._stubs:
-            self._stubs['update_entity'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.MetadataService/UpdateEntity',
-                request_serializer=metadata_.UpdateEntityRequest.serialize,
-                response_deserializer=metadata_.Entity.deserialize,
-            )
-        return self._stubs['update_entity']
-
-    @property
-    def delete_entity(self) -> Callable[
-            [metadata_.DeleteEntityRequest],
-            Awaitable[empty_pb2.Empty]]:
-        r"""Return a callable for the delete entity method over gRPC.
-
-        Delete a metadata entity.
-
-        Returns:
-            Callable[[~.DeleteEntityRequest],
-                    Awaitable[~.Empty]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'delete_entity' not in self._stubs:
-            self._stubs['delete_entity'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.MetadataService/DeleteEntity',
-                request_serializer=metadata_.DeleteEntityRequest.serialize,
-                response_deserializer=empty_pb2.Empty.FromString,
-            )
-        return self._stubs['delete_entity']
-
-    @property
-    def get_entity(self) -> Callable[
-            [metadata_.GetEntityRequest],
-            Awaitable[metadata_.Entity]]:
-        r"""Return a callable for the get entity method over gRPC.
-
-        Get a metadata entity.
-
-        Returns:
-            Callable[[~.GetEntityRequest],
-                    Awaitable[~.Entity]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'get_entity' not in self._stubs:
-            self._stubs['get_entity'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.MetadataService/GetEntity',
-                request_serializer=metadata_.GetEntityRequest.serialize,
-                response_deserializer=metadata_.Entity.deserialize,
-            )
-        return self._stubs['get_entity']
-
-    @property
-    def list_entities(self) -> Callable[
-            [metadata_.ListEntitiesRequest],
-            Awaitable[metadata_.ListEntitiesResponse]]:
-        r"""Return a callable for the list entities method over gRPC.
-
-        List metadata entities in a zone.
-
-        Returns:
-            Callable[[~.ListEntitiesRequest],
-                    Awaitable[~.ListEntitiesResponse]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'list_entities' not in self._stubs:
-            self._stubs['list_entities'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.MetadataService/ListEntities',
-                request_serializer=metadata_.ListEntitiesRequest.serialize,
-                response_deserializer=metadata_.ListEntitiesResponse.deserialize,
-            )
-        return self._stubs['list_entities']
-
-    @property
-    def create_partition(self) -> Callable[
-            [metadata_.CreatePartitionRequest],
-            Awaitable[metadata_.Partition]]:
-        r"""Return a callable for the create partition method over gRPC.
-
-        Create a metadata partition.
-
-        Returns:
-            Callable[[~.CreatePartitionRequest],
-                    Awaitable[~.Partition]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'create_partition' not in self._stubs:
-            self._stubs['create_partition'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.MetadataService/CreatePartition',
-                request_serializer=metadata_.CreatePartitionRequest.serialize,
-                response_deserializer=metadata_.Partition.deserialize,
-            )
-        return self._stubs['create_partition']
-
-    @property
-    def delete_partition(self) -> Callable[
-            [metadata_.DeletePartitionRequest],
-            Awaitable[empty_pb2.Empty]]:
-        r"""Return a callable for the delete partition method over gRPC.
-
-        Delete a metadata partition.
-
-        Returns:
-            Callable[[~.DeletePartitionRequest],
-                    Awaitable[~.Empty]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'delete_partition' not in self._stubs:
-            self._stubs['delete_partition'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.MetadataService/DeletePartition',
-                request_serializer=metadata_.DeletePartitionRequest.serialize,
-                response_deserializer=empty_pb2.Empty.FromString,
-            )
-        return self._stubs['delete_partition']
-
-    @property
-    def get_partition(self) -> Callable[
-            [metadata_.GetPartitionRequest],
-            Awaitable[metadata_.Partition]]:
-        r"""Return a callable for the get partition method over gRPC.
-
-        Get a metadata partition of an entity.
-
-        Returns:
-            Callable[[~.GetPartitionRequest],
-                    Awaitable[~.Partition]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'get_partition' not in self._stubs:
-            self._stubs['get_partition'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.MetadataService/GetPartition',
-                request_serializer=metadata_.GetPartitionRequest.serialize,
-                response_deserializer=metadata_.Partition.deserialize,
-            )
-        return self._stubs['get_partition']
-
-    @property
-    def list_partitions(self) -> Callable[
-            [metadata_.ListPartitionsRequest],
-            Awaitable[metadata_.ListPartitionsResponse]]:
-        r"""Return a callable for the list partitions method over gRPC.
-
-        List metadata partitions of an entity.
-
-        Returns:
-            Callable[[~.ListPartitionsRequest],
-                    Awaitable[~.ListPartitionsResponse]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if 'list_partitions' not in self._stubs:
-            self._stubs['list_partitions'] = self.grpc_channel.unary_unary(
-                '/google.cloud.dataplex.v1.MetadataService/ListPartitions',
-                request_serializer=metadata_.ListPartitionsRequest.serialize,
-                response_deserializer=metadata_.ListPartitionsResponse.deserialize,
-            )
-        return self._stubs['list_partitions']
-
-    def _prep_wrapped_messages(self, client_info):
-        """ Precompute the wrapped methods, overriding the base class method to use async wrappers."""
-        self._wrapped_methods = {
-            self.create_entity: self._wrap_method(
-                self.create_entity,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.update_entity: self._wrap_method(
-                self.update_entity,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.delete_entity: self._wrap_method(
-                self.delete_entity,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.get_entity: self._wrap_method(
-                self.get_entity,
-                default_retry=retries.AsyncRetry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.list_entities: self._wrap_method(
-                self.list_entities,
-                default_retry=retries.AsyncRetry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.create_partition: self._wrap_method(
-                self.create_partition,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.delete_partition: self._wrap_method(
-                self.delete_partition,
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.get_partition: self._wrap_method(
-                self.get_partition,
-                default_retry=retries.AsyncRetry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.list_partitions: self._wrap_method(
-                self.list_partitions,
-                default_retry=retries.AsyncRetry(
-                    initial=1.0,
-                    maximum=10.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=60.0,
-                ),
-                default_timeout=60.0,
-                client_info=client_info,
-            ),
-            self.get_location: self._wrap_method(
-                self.get_location,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.list_locations: self._wrap_method(
-                self.list_locations,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.cancel_operation: self._wrap_method(
-                self.cancel_operation,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.delete_operation: self._wrap_method(
-                self.delete_operation,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.get_operation: self._wrap_method(
-                self.get_operation,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.list_operations: self._wrap_method(
-                self.list_operations,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-        }
-
-    def _wrap_method(self, func, *args, **kwargs):
-        if self._wrap_with_kind:  # pragma: NO COVER
-            kwargs["kind"] = self.kind
-        return gapic_v1.method_async.wrap_method(func, *args, **kwargs)
-
-    def close(self):
-        return self.grpc_channel.close()
-
-    @property
-    def kind(self) -> str:
-        return "grpc_asyncio"
-
-    @property
-    def delete_operation(
-        self,
-    ) -> Callable[[operations_pb2.DeleteOperationRequest], None]:
-        r"""Return a callable for the delete_operation method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "delete_operation" not in self._stubs:
-            self._stubs["delete_operation"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/DeleteOperation",
-                request_serializer=operations_pb2.DeleteOperationRequest.SerializeToString,
-                response_deserializer=None,
-            )
-        return self._stubs["delete_operation"]
-
-    @property
-    def cancel_operation(
-        self,
-    ) -> Callable[[operations_pb2.CancelOperationRequest], None]:
-        r"""Return a callable for the cancel_operation method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "cancel_operation" not in self._stubs:
-            self._stubs["cancel_operation"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/CancelOperation",
-                request_serializer=operations_pb2.CancelOperationRequest.SerializeToString,
-                response_deserializer=None,
-            )
-        return self._stubs["cancel_operation"]
-
-    @property
-    def get_operation(
-        self,
-    ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]:
-        r"""Return a callable for the get_operation method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "get_operation" not in self._stubs:
-            self._stubs["get_operation"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/GetOperation",
-                request_serializer=operations_pb2.GetOperationRequest.SerializeToString,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs["get_operation"]
-
-    @property
-    def list_operations(
-        self,
-    ) -> Callable[[operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse]:
-        r"""Return a callable for the list_operations method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "list_operations" not in self._stubs:
-            self._stubs["list_operations"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/ListOperations",
-                request_serializer=operations_pb2.ListOperationsRequest.SerializeToString,
-                response_deserializer=operations_pb2.ListOperationsResponse.FromString,
-            )
-        return self._stubs["list_operations"]
-
-    @property
-    def list_locations(
-        self,
-    ) -> Callable[[locations_pb2.ListLocationsRequest], locations_pb2.ListLocationsResponse]:
-        r"""Return a callable for the list locations method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "list_locations" not in self._stubs:
-            self._stubs["list_locations"] = self.grpc_channel.unary_unary(
-                "/google.cloud.location.Locations/ListLocations",
-                request_serializer=locations_pb2.ListLocationsRequest.SerializeToString,
-                response_deserializer=locations_pb2.ListLocationsResponse.FromString,
-            )
-        return self._stubs["list_locations"]
-
-    @property
-    def get_location(
-        self,
-    ) -> Callable[[locations_pb2.GetLocationRequest], locations_pb2.Location]:
-        r"""Return a callable for the list locations method over gRPC.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "get_location" not in self._stubs:
-            self._stubs["get_location"] = self.grpc_channel.unary_unary(
-                "/google.cloud.location.Locations/GetLocation",
-                request_serializer=locations_pb2.GetLocationRequest.SerializeToString,
-                response_deserializer=locations_pb2.Location.FromString,
-            )
-        return self._stubs["get_location"]
-
-
-__all__ = (
-    'MetadataServiceGrpcAsyncIOTransport',
-)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/__init__.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/__init__.py
deleted file mode 100644
index 99c2580b712c..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/__init__.py
+++ /dev/null
@@ -1,408 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from .analyze import (
-    Content,
-    Environment,
-    Session,
-)
-from .catalog import (
-    Aspect,
-    AspectSource,
-    AspectType,
-    CancelMetadataJobRequest,
-    CreateAspectTypeRequest,
-    CreateEntryGroupRequest,
-    CreateEntryRequest,
-    CreateEntryTypeRequest,
-    CreateMetadataJobRequest,
-    DeleteAspectTypeRequest,
-    DeleteEntryGroupRequest,
-    DeleteEntryRequest,
-    DeleteEntryTypeRequest,
-    Entry,
-    EntryGroup,
-    EntrySource,
-    EntryType,
-    GetAspectTypeRequest,
-    GetEntryGroupRequest,
-    GetEntryRequest,
-    GetEntryTypeRequest,
-    GetMetadataJobRequest,
-    ImportItem,
-    ListAspectTypesRequest,
-    ListAspectTypesResponse,
-    ListEntriesRequest,
-    ListEntriesResponse,
-    ListEntryGroupsRequest,
-    ListEntryGroupsResponse,
-    ListEntryTypesRequest,
-    ListEntryTypesResponse,
-    ListMetadataJobsRequest,
-    ListMetadataJobsResponse,
-    LookupEntryRequest,
-    MetadataJob,
-    SearchEntriesRequest,
-    SearchEntriesResponse,
-    SearchEntriesResult,
-    UpdateAspectTypeRequest,
-    UpdateEntryGroupRequest,
-    UpdateEntryRequest,
-    UpdateEntryTypeRequest,
-    EntryView,
-    TransferStatus,
-)
-from .content import (
-    CreateContentRequest,
-    DeleteContentRequest,
-    GetContentRequest,
-    ListContentRequest,
-    ListContentResponse,
-    UpdateContentRequest,
-)
-from .data_discovery import (
-    DataDiscoveryResult,
-    DataDiscoverySpec,
-)
-from .data_profile import (
-    DataProfileResult,
-    DataProfileSpec,
-)
-from .data_quality import (
-    DataQualityColumnResult,
-    DataQualityDimension,
-    DataQualityDimensionResult,
-    DataQualityResult,
-    DataQualityRule,
-    DataQualityRuleResult,
-    DataQualitySpec,
-)
-from .data_taxonomy import (
-    CreateDataAttributeBindingRequest,
-    CreateDataAttributeRequest,
-    CreateDataTaxonomyRequest,
-    DataAttribute,
-    DataAttributeBinding,
-    DataTaxonomy,
-    DeleteDataAttributeBindingRequest,
-    DeleteDataAttributeRequest,
-    DeleteDataTaxonomyRequest,
-    GetDataAttributeBindingRequest,
-    GetDataAttributeRequest,
-    GetDataTaxonomyRequest,
-    ListDataAttributeBindingsRequest,
-    ListDataAttributeBindingsResponse,
-    ListDataAttributesRequest,
-    ListDataAttributesResponse,
-    ListDataTaxonomiesRequest,
-    ListDataTaxonomiesResponse,
-    UpdateDataAttributeBindingRequest,
-    UpdateDataAttributeRequest,
-    UpdateDataTaxonomyRequest,
-)
-from .datascans import (
-    CreateDataScanRequest,
-    DataScan,
-    DataScanJob,
-    DeleteDataScanRequest,
-    GenerateDataQualityRulesRequest,
-    GenerateDataQualityRulesResponse,
-    GetDataScanJobRequest,
-    GetDataScanRequest,
-    ListDataScanJobsRequest,
-    ListDataScanJobsResponse,
-    ListDataScansRequest,
-    ListDataScansResponse,
-    RunDataScanRequest,
-    RunDataScanResponse,
-    UpdateDataScanRequest,
-    DataScanType,
-)
-from .logs import (
-    DataQualityScanRuleResult,
-    DataScanEvent,
-    DiscoveryEvent,
-    GovernanceEvent,
-    JobEvent,
-    SessionEvent,
-)
-from .metadata_ import (
-    CreateEntityRequest,
-    CreatePartitionRequest,
-    DeleteEntityRequest,
-    DeletePartitionRequest,
-    Entity,
-    GetEntityRequest,
-    GetPartitionRequest,
-    ListEntitiesRequest,
-    ListEntitiesResponse,
-    ListPartitionsRequest,
-    ListPartitionsResponse,
-    Partition,
-    Schema,
-    StorageAccess,
-    StorageFormat,
-    UpdateEntityRequest,
-    StorageSystem,
-)
-from .processing import (
-    DataSource,
-    ScannedData,
-    Trigger,
-)
-from .resources import (
-    Action,
-    Asset,
-    AssetStatus,
-    Lake,
-    Zone,
-    State,
-)
-from .security import (
-    DataAccessSpec,
-    ResourceAccessSpec,
-)
-from .service import (
-    CancelJobRequest,
-    CreateAssetRequest,
-    CreateEnvironmentRequest,
-    CreateLakeRequest,
-    CreateTaskRequest,
-    CreateZoneRequest,
-    DeleteAssetRequest,
-    DeleteEnvironmentRequest,
-    DeleteLakeRequest,
-    DeleteTaskRequest,
-    DeleteZoneRequest,
-    GetAssetRequest,
-    GetEnvironmentRequest,
-    GetJobRequest,
-    GetLakeRequest,
-    GetTaskRequest,
-    GetZoneRequest,
-    ListActionsResponse,
-    ListAssetActionsRequest,
-    ListAssetsRequest,
-    ListAssetsResponse,
-    ListEnvironmentsRequest,
-    ListEnvironmentsResponse,
-    ListJobsRequest,
-    ListJobsResponse,
-    ListLakeActionsRequest,
-    ListLakesRequest,
-    ListLakesResponse,
-    ListSessionsRequest,
-    ListSessionsResponse,
-    ListTasksRequest,
-    ListTasksResponse,
-    ListZoneActionsRequest,
-    ListZonesRequest,
-    ListZonesResponse,
-    OperationMetadata,
-    RunTaskRequest,
-    RunTaskResponse,
-    UpdateAssetRequest,
-    UpdateEnvironmentRequest,
-    UpdateLakeRequest,
-    UpdateTaskRequest,
-    UpdateZoneRequest,
-)
-from .tasks import (
-    Job,
-    Task,
-)
-
-__all__ = (
-    'Content',
-    'Environment',
-    'Session',
-    'Aspect',
-    'AspectSource',
-    'AspectType',
-    'CancelMetadataJobRequest',
-    'CreateAspectTypeRequest',
-    'CreateEntryGroupRequest',
-    'CreateEntryRequest',
-    'CreateEntryTypeRequest',
-    'CreateMetadataJobRequest',
-    'DeleteAspectTypeRequest',
-    'DeleteEntryGroupRequest',
-    'DeleteEntryRequest',
-    'DeleteEntryTypeRequest',
-    'Entry',
-    'EntryGroup',
-    'EntrySource',
-    'EntryType',
-    'GetAspectTypeRequest',
-    'GetEntryGroupRequest',
-    'GetEntryRequest',
-    'GetEntryTypeRequest',
-    'GetMetadataJobRequest',
-    'ImportItem',
-    'ListAspectTypesRequest',
-    'ListAspectTypesResponse',
-    'ListEntriesRequest',
-    'ListEntriesResponse',
-    'ListEntryGroupsRequest',
-    'ListEntryGroupsResponse',
-    'ListEntryTypesRequest',
-    'ListEntryTypesResponse',
-    'ListMetadataJobsRequest',
-    'ListMetadataJobsResponse',
-    'LookupEntryRequest',
-    'MetadataJob',
-    'SearchEntriesRequest',
-    'SearchEntriesResponse',
-    'SearchEntriesResult',
-    'UpdateAspectTypeRequest',
-    'UpdateEntryGroupRequest',
-    'UpdateEntryRequest',
-    'UpdateEntryTypeRequest',
-    'EntryView',
-    'TransferStatus',
-    'CreateContentRequest',
-    'DeleteContentRequest',
-    'GetContentRequest',
-    'ListContentRequest',
-    'ListContentResponse',
-    'UpdateContentRequest',
-    'DataDiscoveryResult',
-    'DataDiscoverySpec',
-    'DataProfileResult',
-    'DataProfileSpec',
-    'DataQualityColumnResult',
-    'DataQualityDimension',
-    'DataQualityDimensionResult',
-    'DataQualityResult',
-    'DataQualityRule',
-    'DataQualityRuleResult',
-    'DataQualitySpec',
-    'CreateDataAttributeBindingRequest',
-    'CreateDataAttributeRequest',
-    'CreateDataTaxonomyRequest',
-    'DataAttribute',
-    'DataAttributeBinding',
-    'DataTaxonomy',
-    'DeleteDataAttributeBindingRequest',
-    'DeleteDataAttributeRequest',
-    'DeleteDataTaxonomyRequest',
-    'GetDataAttributeBindingRequest',
-    'GetDataAttributeRequest',
-    'GetDataTaxonomyRequest',
-    'ListDataAttributeBindingsRequest',
-    'ListDataAttributeBindingsResponse',
-    'ListDataAttributesRequest',
-    'ListDataAttributesResponse',
-    'ListDataTaxonomiesRequest',
-    'ListDataTaxonomiesResponse',
-    'UpdateDataAttributeBindingRequest',
-    'UpdateDataAttributeRequest',
-    'UpdateDataTaxonomyRequest',
-    'CreateDataScanRequest',
-    'DataScan',
-    'DataScanJob',
-    'DeleteDataScanRequest',
-    'GenerateDataQualityRulesRequest',
-    'GenerateDataQualityRulesResponse',
-    'GetDataScanJobRequest',
-    'GetDataScanRequest',
-    'ListDataScanJobsRequest',
-    'ListDataScanJobsResponse',
-    'ListDataScansRequest',
-    'ListDataScansResponse',
-    'RunDataScanRequest',
-    'RunDataScanResponse',
-    'UpdateDataScanRequest',
-    'DataScanType',
-    'DataQualityScanRuleResult',
-    'DataScanEvent',
-    'DiscoveryEvent',
-    'GovernanceEvent',
-    'JobEvent',
-    'SessionEvent',
-    'CreateEntityRequest',
-    'CreatePartitionRequest',
-    'DeleteEntityRequest',
-    'DeletePartitionRequest',
-    'Entity',
-    'GetEntityRequest',
-    'GetPartitionRequest',
-    'ListEntitiesRequest',
-    'ListEntitiesResponse',
-    'ListPartitionsRequest',
-    'ListPartitionsResponse',
-    'Partition',
-    'Schema',
-    'StorageAccess',
-    'StorageFormat',
-    'UpdateEntityRequest',
-    'StorageSystem',
-    'DataSource',
-    'ScannedData',
-    'Trigger',
-    'Action',
-    'Asset',
-    'AssetStatus',
-    'Lake',
-    'Zone',
-    'State',
-    'DataAccessSpec',
-    'ResourceAccessSpec',
-    'CancelJobRequest',
-    'CreateAssetRequest',
-    'CreateEnvironmentRequest',
-    'CreateLakeRequest',
-    'CreateTaskRequest',
-    'CreateZoneRequest',
-    'DeleteAssetRequest',
-    'DeleteEnvironmentRequest',
-    'DeleteLakeRequest',
-    'DeleteTaskRequest',
-    'DeleteZoneRequest',
-    'GetAssetRequest',
-    'GetEnvironmentRequest',
-    'GetJobRequest',
-    'GetLakeRequest',
-    'GetTaskRequest',
-    'GetZoneRequest',
-    'ListActionsResponse',
-    'ListAssetActionsRequest',
-    'ListAssetsRequest',
-    'ListAssetsResponse',
-    'ListEnvironmentsRequest',
-    'ListEnvironmentsResponse',
-    'ListJobsRequest',
-    'ListJobsResponse',
-    'ListLakeActionsRequest',
-    'ListLakesRequest',
-    'ListLakesResponse',
-    'ListSessionsRequest',
-    'ListSessionsResponse',
-    'ListTasksRequest',
-    'ListTasksResponse',
-    'ListZoneActionsRequest',
-    'ListZonesRequest',
-    'ListZonesResponse',
-    'OperationMetadata',
-    'RunTaskRequest',
-    'RunTaskResponse',
-    'UpdateAssetRequest',
-    'UpdateEnvironmentRequest',
-    'UpdateLakeRequest',
-    'UpdateTaskRequest',
-    'UpdateZoneRequest',
-    'Job',
-    'Task',
-)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/analyze.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/analyze.py
deleted file mode 100644
index a12a3b34e864..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/analyze.py
+++ /dev/null
@@ -1,491 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from __future__ import annotations
-
-from typing import MutableMapping, MutableSequence
-
-import proto  # type: ignore
-
-from google.cloud.dataplex_v1.types import resources
-from google.protobuf import duration_pb2  # type: ignore
-from google.protobuf import timestamp_pb2  # type: ignore
-
-
-__protobuf__ = proto.module(
-    package='google.cloud.dataplex.v1',
-    manifest={
-        'Environment',
-        'Content',
-        'Session',
-    },
-)
-
-
-class Environment(proto.Message):
-    r"""Environment represents a user-visible compute infrastructure
-    for analytics within a lake.
-
-    Attributes:
-        name (str):
-            Output only. The relative resource name of the environment,
-            of the form:
-            projects/{project_id}/locations/{location_id}/lakes/{lake_id}/environment/{environment_id}
-        display_name (str):
-            Optional. User friendly display name.
-        uid (str):
-            Output only. System generated globally unique
-            ID for the environment. This ID will be
-            different if the environment is deleted and
-            re-created with the same name.
-        create_time (google.protobuf.timestamp_pb2.Timestamp):
-            Output only. Environment creation time.
-        update_time (google.protobuf.timestamp_pb2.Timestamp):
-            Output only. The time when the environment
-            was last updated.
-        labels (MutableMapping[str, str]):
-            Optional. User defined labels for the
-            environment.
-        description (str):
-            Optional. Description of the environment.
-        state (google.cloud.dataplex_v1.types.State):
-            Output only. Current state of the
-            environment.
-        infrastructure_spec (google.cloud.dataplex_v1.types.Environment.InfrastructureSpec):
-            Required. Infrastructure specification for
-            the Environment.
-        session_spec (google.cloud.dataplex_v1.types.Environment.SessionSpec):
-            Optional. Configuration for sessions created
-            for this environment.
-        session_status (google.cloud.dataplex_v1.types.Environment.SessionStatus):
-            Output only. Status of sessions created for
-            this environment.
-        endpoints (google.cloud.dataplex_v1.types.Environment.Endpoints):
-            Output only. URI Endpoints to access sessions
-            associated with the Environment.
-    """
-
-    class InfrastructureSpec(proto.Message):
-        r"""Configuration for the underlying infrastructure used to run
-        workloads.
-
-
-        .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
-
-        Attributes:
-            compute (google.cloud.dataplex_v1.types.Environment.InfrastructureSpec.ComputeResources):
-                Optional. Compute resources needed for
-                analyze interactive workloads.
-
-                This field is a member of `oneof`_ ``resources``.
-            os_image (google.cloud.dataplex_v1.types.Environment.InfrastructureSpec.OsImageRuntime):
-                Required. Software Runtime Configuration for
-                analyze interactive workloads.
-
-                This field is a member of `oneof`_ ``runtime``.
-        """
-
-        class ComputeResources(proto.Message):
-            r"""Compute resources associated with the analyze interactive
-            workloads.
-
-            Attributes:
-                disk_size_gb (int):
-                    Optional. Size in GB of the disk. Default is
-                    100 GB.
-                node_count (int):
-                    Optional. Total number of nodes in the
-                    sessions created for this environment.
-                max_node_count (int):
-                    Optional. Max configurable nodes. If max_node_count >
-                    node_count, then auto-scaling is enabled.
-            """
-
-            disk_size_gb: int = proto.Field(
-                proto.INT32,
-                number=1,
-            )
-            node_count: int = proto.Field(
-                proto.INT32,
-                number=2,
-            )
-            max_node_count: int = proto.Field(
-                proto.INT32,
-                number=3,
-            )
-
-        class OsImageRuntime(proto.Message):
-            r"""Software Runtime Configuration to run Analyze.
-
-            Attributes:
-                image_version (str):
-                    Required. Dataplex Image version.
-                java_libraries (MutableSequence[str]):
-                    Optional. List of Java jars to be included in
-                    the runtime environment. Valid input includes
-                    Cloud Storage URIs to Jar binaries. For example,
-                    gs://bucket-name/my/path/to/file.jar
-                python_packages (MutableSequence[str]):
-                    Optional. A list of python packages to be
-                    installed. Valid formats include Cloud Storage
-                    URI to a PIP installable library. For example,
-                    gs://bucket-name/my/path/to/lib.tar.gz
-                properties (MutableMapping[str, str]):
-                    Optional. Spark properties to provide configuration for use
-                    in sessions created for this environment. The properties to
-                    set on daemon config files. Property keys are specified in
-                    ``prefix:property`` format. The prefix must be "spark".
-            """
-
-            image_version: str = proto.Field(
-                proto.STRING,
-                number=1,
-            )
-            java_libraries: MutableSequence[str] = proto.RepeatedField(
-                proto.STRING,
-                number=2,
-            )
-            python_packages: MutableSequence[str] = proto.RepeatedField(
-                proto.STRING,
-                number=3,
-            )
-            properties: MutableMapping[str, str] = proto.MapField(
-                proto.STRING,
-                proto.STRING,
-                number=4,
-            )
-
-        compute: 'Environment.InfrastructureSpec.ComputeResources' = proto.Field(
-            proto.MESSAGE,
-            number=50,
-            oneof='resources',
-            message='Environment.InfrastructureSpec.ComputeResources',
-        )
-        os_image: 'Environment.InfrastructureSpec.OsImageRuntime' = proto.Field(
-            proto.MESSAGE,
-            number=100,
-            oneof='runtime',
-            message='Environment.InfrastructureSpec.OsImageRuntime',
-        )
-
-    class SessionSpec(proto.Message):
-        r"""Configuration for sessions created for this environment.
-
-        Attributes:
-            max_idle_duration (google.protobuf.duration_pb2.Duration):
-                Optional. The idle time configuration of the
-                session. The session will be auto-terminated at
-                the end of this period.
-            enable_fast_startup (bool):
-                Optional. If True, this causes sessions to be
-                pre-created and available for faster startup to
-                enable interactive exploration use-cases. This
-                defaults to False to avoid additional billed
-                charges. These can only be set to True for the
-                environment with name set to "default", and with
-                default configuration.
-        """
-
-        max_idle_duration: duration_pb2.Duration = proto.Field(
-            proto.MESSAGE,
-            number=1,
-            message=duration_pb2.Duration,
-        )
-        enable_fast_startup: bool = proto.Field(
-            proto.BOOL,
-            number=2,
-        )
-
-    class SessionStatus(proto.Message):
-        r"""Status of sessions created for this environment.
-
-        Attributes:
-            active (bool):
-                Output only. Queries over sessions to mark
-                whether the environment is currently active or
-                not
-        """
-
-        active: bool = proto.Field(
-            proto.BOOL,
-            number=1,
-        )
-
-    class Endpoints(proto.Message):
-        r"""URI Endpoints to access sessions associated with the
-        Environment.
-
-        Attributes:
-            notebooks (str):
-                Output only. URI to serve notebook APIs
-            sql (str):
-                Output only. URI to serve SQL APIs
-        """
-
-        notebooks: str = proto.Field(
-            proto.STRING,
-            number=1,
-        )
-        sql: str = proto.Field(
-            proto.STRING,
-            number=2,
-        )
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    display_name: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    uid: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-    create_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=4,
-        message=timestamp_pb2.Timestamp,
-    )
-    update_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=5,
-        message=timestamp_pb2.Timestamp,
-    )
-    labels: MutableMapping[str, str] = proto.MapField(
-        proto.STRING,
-        proto.STRING,
-        number=6,
-    )
-    description: str = proto.Field(
-        proto.STRING,
-        number=7,
-    )
-    state: resources.State = proto.Field(
-        proto.ENUM,
-        number=8,
-        enum=resources.State,
-    )
-    infrastructure_spec: InfrastructureSpec = proto.Field(
-        proto.MESSAGE,
-        number=100,
-        message=InfrastructureSpec,
-    )
-    session_spec: SessionSpec = proto.Field(
-        proto.MESSAGE,
-        number=101,
-        message=SessionSpec,
-    )
-    session_status: SessionStatus = proto.Field(
-        proto.MESSAGE,
-        number=102,
-        message=SessionStatus,
-    )
-    endpoints: Endpoints = proto.Field(
-        proto.MESSAGE,
-        number=200,
-        message=Endpoints,
-    )
-
-
-class Content(proto.Message):
-    r"""Content represents a user-visible notebook or a sql script
-
-    This message has `oneof`_ fields (mutually exclusive fields).
-    For each oneof, at most one member field can be set at the same time.
-    Setting any member of the oneof automatically clears all other
-    members.
-
-    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
-
-    Attributes:
-        name (str):
-            Output only. The relative resource name of the content, of
-            the form:
-            projects/{project_id}/locations/{location_id}/lakes/{lake_id}/content/{content_id}
-        uid (str):
-            Output only. System generated globally unique
-            ID for the content. This ID will be different if
-            the content is deleted and re-created with the
-            same name.
-        path (str):
-            Required. The path for the Content file,
-            represented as directory structure. Unique
-            within a lake. Limited to alphanumerics,
-            hyphens, underscores, dots and slashes.
-        create_time (google.protobuf.timestamp_pb2.Timestamp):
-            Output only. Content creation time.
-        update_time (google.protobuf.timestamp_pb2.Timestamp):
-            Output only. The time when the content was
-            last updated.
-        labels (MutableMapping[str, str]):
-            Optional. User defined labels for the
-            content.
-        description (str):
-            Optional. Description of the content.
-        data_text (str):
-            Required. Content data in string format.
-
-            This field is a member of `oneof`_ ``data``.
-        sql_script (google.cloud.dataplex_v1.types.Content.SqlScript):
-            Sql Script related configurations.
-
-            This field is a member of `oneof`_ ``content``.
-        notebook (google.cloud.dataplex_v1.types.Content.Notebook):
-            Notebook related configurations.
-
-            This field is a member of `oneof`_ ``content``.
-    """
-
-    class SqlScript(proto.Message):
-        r"""Configuration for the Sql Script content.
-
-        Attributes:
-            engine (google.cloud.dataplex_v1.types.Content.SqlScript.QueryEngine):
-                Required. Query Engine to be used for the Sql
-                Query.
-        """
-        class QueryEngine(proto.Enum):
-            r"""Query Engine Type of the SQL Script.
-
-            Values:
-                QUERY_ENGINE_UNSPECIFIED (0):
-                    Value was unspecified.
-                SPARK (2):
-                    Spark SQL Query.
-            """
-            QUERY_ENGINE_UNSPECIFIED = 0
-            SPARK = 2
-
-        engine: 'Content.SqlScript.QueryEngine' = proto.Field(
-            proto.ENUM,
-            number=1,
-            enum='Content.SqlScript.QueryEngine',
-        )
-
-    class Notebook(proto.Message):
-        r"""Configuration for Notebook content.
-
-        Attributes:
-            kernel_type (google.cloud.dataplex_v1.types.Content.Notebook.KernelType):
-                Required. Kernel Type of the notebook.
-        """
-        class KernelType(proto.Enum):
-            r"""Kernel Type of the Jupyter notebook.
-
-            Values:
-                KERNEL_TYPE_UNSPECIFIED (0):
-                    Kernel Type unspecified.
-                PYTHON3 (1):
-                    Python 3 Kernel.
-            """
-            KERNEL_TYPE_UNSPECIFIED = 0
-            PYTHON3 = 1
-
-        kernel_type: 'Content.Notebook.KernelType' = proto.Field(
-            proto.ENUM,
-            number=1,
-            enum='Content.Notebook.KernelType',
-        )
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    uid: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    path: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-    create_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=4,
-        message=timestamp_pb2.Timestamp,
-    )
-    update_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=5,
-        message=timestamp_pb2.Timestamp,
-    )
-    labels: MutableMapping[str, str] = proto.MapField(
-        proto.STRING,
-        proto.STRING,
-        number=6,
-    )
-    description: str = proto.Field(
-        proto.STRING,
-        number=7,
-    )
-    data_text: str = proto.Field(
-        proto.STRING,
-        number=9,
-        oneof='data',
-    )
-    sql_script: SqlScript = proto.Field(
-        proto.MESSAGE,
-        number=100,
-        oneof='content',
-        message=SqlScript,
-    )
-    notebook: Notebook = proto.Field(
-        proto.MESSAGE,
-        number=101,
-        oneof='content',
-        message=Notebook,
-    )
-
-
-class Session(proto.Message):
-    r"""Represents an active analyze session running for a user.
-
-    Attributes:
-        name (str):
-            Output only. The relative resource name of the content, of
-            the form:
-            projects/{project_id}/locations/{location_id}/lakes/{lake_id}/environment/{environment_id}/sessions/{session_id}
-        user_id (str):
-            Output only. Email of user running the
-            session.
-        create_time (google.protobuf.timestamp_pb2.Timestamp):
-            Output only. Session start time.
-        state (google.cloud.dataplex_v1.types.State):
-            Output only. State of Session
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    user_id: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    create_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=3,
-        message=timestamp_pb2.Timestamp,
-    )
-    state: resources.State = proto.Field(
-        proto.ENUM,
-        number=4,
-        enum=resources.State,
-    )
-
-
-__all__ = tuple(sorted(__protobuf__.manifest))
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/catalog.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/catalog.py
deleted file mode 100644
index b1233e502d15..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/catalog.py
+++ /dev/null
@@ -1,2630 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from __future__ import annotations
-
-from typing import MutableMapping, MutableSequence
-
-import proto  # type: ignore
-
-from google.protobuf import field_mask_pb2  # type: ignore
-from google.protobuf import struct_pb2  # type: ignore
-from google.protobuf import timestamp_pb2  # type: ignore
-
-
-__protobuf__ = proto.module(
-    package='google.cloud.dataplex.v1',
-    manifest={
-        'EntryView',
-        'TransferStatus',
-        'AspectType',
-        'EntryGroup',
-        'EntryType',
-        'Aspect',
-        'AspectSource',
-        'Entry',
-        'EntrySource',
-        'CreateEntryGroupRequest',
-        'UpdateEntryGroupRequest',
-        'DeleteEntryGroupRequest',
-        'ListEntryGroupsRequest',
-        'ListEntryGroupsResponse',
-        'GetEntryGroupRequest',
-        'CreateEntryTypeRequest',
-        'UpdateEntryTypeRequest',
-        'DeleteEntryTypeRequest',
-        'ListEntryTypesRequest',
-        'ListEntryTypesResponse',
-        'GetEntryTypeRequest',
-        'CreateAspectTypeRequest',
-        'UpdateAspectTypeRequest',
-        'DeleteAspectTypeRequest',
-        'ListAspectTypesRequest',
-        'ListAspectTypesResponse',
-        'GetAspectTypeRequest',
-        'CreateEntryRequest',
-        'UpdateEntryRequest',
-        'DeleteEntryRequest',
-        'ListEntriesRequest',
-        'ListEntriesResponse',
-        'GetEntryRequest',
-        'LookupEntryRequest',
-        'SearchEntriesRequest',
-        'SearchEntriesResult',
-        'SearchEntriesResponse',
-        'ImportItem',
-        'CreateMetadataJobRequest',
-        'GetMetadataJobRequest',
-        'ListMetadataJobsRequest',
-        'ListMetadataJobsResponse',
-        'CancelMetadataJobRequest',
-        'MetadataJob',
-    },
-)
-
-
-class EntryView(proto.Enum):
-    r"""View for controlling which parts of an entry are to be
-    returned.
-
-    Values:
-        ENTRY_VIEW_UNSPECIFIED (0):
-            Unspecified EntryView. Defaults to FULL.
-        BASIC (1):
-            Returns entry only, without aspects.
-        FULL (2):
-            Returns all required aspects as well as the
-            keys of all non-required aspects.
-        CUSTOM (3):
-            Returns aspects matching custom fields in
-            GetEntryRequest. If the number of aspects
-            exceeds 100, the first 100 will be returned.
-        ALL (4):
-            Returns all aspects. If the number of aspects
-            exceeds 100, the first 100 will be returned.
-    """
-    ENTRY_VIEW_UNSPECIFIED = 0
-    BASIC = 1
-    FULL = 2
-    CUSTOM = 3
-    ALL = 4
-
-
-class TransferStatus(proto.Enum):
-    r"""Denotes the transfer status of a resource. It is unspecified
-    for resources created from Dataplex API.
-
-    Values:
-        TRANSFER_STATUS_UNSPECIFIED (0):
-            The default value. It is set for resources
-            that were not subject for migration from Data
-            Catalog service.
-        TRANSFER_STATUS_MIGRATED (1):
-            Indicates that a resource was migrated from
-            Data Catalog service but it hasn't been
-            transferred yet. In particular the resource
-            cannot be updated from Dataplex API.
-        TRANSFER_STATUS_TRANSFERRED (2):
-            Indicates that a resource was transferred
-            from Data Catalog service. The resource can only
-            be updated from Dataplex API.
-    """
-    TRANSFER_STATUS_UNSPECIFIED = 0
-    TRANSFER_STATUS_MIGRATED = 1
-    TRANSFER_STATUS_TRANSFERRED = 2
-
-
-class AspectType(proto.Message):
-    r"""AspectType is a template for creating Aspects, and represents
-    the JSON-schema for a given Entry, for example, BigQuery Table
-    Schema.
-
-    Attributes:
-        name (str):
-            Output only. The relative resource name of the AspectType,
-            of the form:
-            projects/{project_number}/locations/{location_id}/aspectTypes/{aspect_type_id}.
-        uid (str):
-            Output only. System generated globally unique
-            ID for the AspectType. If you delete and
-            recreate the AspectType with the same name, then
-            this ID will be different.
-        create_time (google.protobuf.timestamp_pb2.Timestamp):
-            Output only. The time when the AspectType was
-            created.
-        update_time (google.protobuf.timestamp_pb2.Timestamp):
-            Output only. The time when the AspectType was
-            last updated.
-        description (str):
-            Optional. Description of the AspectType.
-        display_name (str):
-            Optional. User friendly display name.
-        labels (MutableMapping[str, str]):
-            Optional. User-defined labels for the
-            AspectType.
-        etag (str):
-            The service computes this checksum. The
-            client may send it on update and delete requests
-            to ensure it has an up-to-date value before
-            proceeding.
-        authorization (google.cloud.dataplex_v1.types.AspectType.Authorization):
-            Immutable. Defines the Authorization for this
-            type.
-        metadata_template (google.cloud.dataplex_v1.types.AspectType.MetadataTemplate):
-            Required. MetadataTemplate of the aspect.
-        transfer_status (google.cloud.dataplex_v1.types.TransferStatus):
-            Output only. Denotes the transfer status of
-            the Aspect Type. It is unspecified for Aspect
-            Types created from Dataplex API.
-    """
-
-    class Authorization(proto.Message):
-        r"""Autorization for an AspectType.
-
-        Attributes:
-            alternate_use_permission (str):
-                Immutable. The IAM permission grantable on
-                the EntryGroup to allow access to instantiate
-                Aspects of Dataplex owned AspectTypes, only
-                settable for Dataplex owned Types.
-        """
-
-        alternate_use_permission: str = proto.Field(
-            proto.STRING,
-            number=1,
-        )
-
-    class MetadataTemplate(proto.Message):
-        r"""MetadataTemplate definition for an AspectType.
-
-        Attributes:
-            index (int):
-                Optional. Index is used to encode Template
-                messages. The value of index can range between 1
-                and 2,147,483,647. Index must be unique within
-                all fields in a Template. (Nested Templates can
-                reuse indexes). Once a Template is defined, the
-                index cannot be changed, because it identifies
-                the field in the actual storage format. Index is
-                a mandatory field, but it is optional for top
-                level fields, and map/array "values"
-                definitions.
-            name (str):
-                Required. The name of the field.
-            type_ (str):
-                Required. The datatype of this field. The following values
-                are supported:
-
-                Primitive types:
-
-                -  string
-                -  integer
-                -  boolean
-                -  double
-                -  datetime. Must be of the format RFC3339 UTC "Zulu"
-                   (Examples: "2014-10-02T15:01:23Z" and
-                   "2014-10-02T15:01:23.045123456Z").
-
-                Complex types:
-
-                -  enum
-                -  array
-                -  map
-                -  record
-            record_fields (MutableSequence[google.cloud.dataplex_v1.types.AspectType.MetadataTemplate]):
-                Optional. Field definition. You must specify
-                it if the type is record. It defines the nested
-                fields.
-            enum_values (MutableSequence[google.cloud.dataplex_v1.types.AspectType.MetadataTemplate.EnumValue]):
-                Optional. The list of values for an enum
-                type. You must define it if the type is enum.
-            map_items (google.cloud.dataplex_v1.types.AspectType.MetadataTemplate):
-                Optional. If the type is map, set map_items. map_items can
-                refer to a primitive field or a complex (record only) field.
-                To specify a primitive field, you only need to set name and
-                type in the nested MetadataTemplate. The recommended value
-                for the name field is item, as this isn't used in the actual
-                payload.
-            array_items (google.cloud.dataplex_v1.types.AspectType.MetadataTemplate):
-                Optional. If the type is array, set array_items. array_items
-                can refer to a primitive field or a complex (record only)
-                field. To specify a primitive field, you only need to set
-                name and type in the nested MetadataTemplate. The
-                recommended value for the name field is item, as this isn't
-                used in the actual payload.
-            type_id (str):
-                Optional. You can use type id if this
-                definition of the field needs to be reused
-                later. The type id must be unique across the
-                entire template. You can only specify it if the
-                field type is record.
-            type_ref (str):
-                Optional. A reference to another field
-                definition (not an inline definition). The value
-                must be equal to the value of an id field
-                defined elsewhere in the MetadataTemplate. Only
-                fields with record type can refer to other
-                fields.
-            constraints (google.cloud.dataplex_v1.types.AspectType.MetadataTemplate.Constraints):
-                Optional. Specifies the constraints on this
-                field.
-            annotations (google.cloud.dataplex_v1.types.AspectType.MetadataTemplate.Annotations):
-                Optional. Specifies annotations on this
-                field.
-        """
-
-        class EnumValue(proto.Message):
-            r"""Definition of Enumvalue, to be used for enum fields.
-
-            Attributes:
-                index (int):
-                    Required. Index for the enum value. It can't
-                    be modified.
-                name (str):
-                    Required. Name of the enumvalue. This is the
-                    actual value that the aspect can contain.
-                deprecated (str):
-                    Optional. You can set this message if you
-                    need to deprecate an enum value.
-            """
-
-            index: int = proto.Field(
-                proto.INT32,
-                number=1,
-            )
-            name: str = proto.Field(
-                proto.STRING,
-                number=2,
-            )
-            deprecated: str = proto.Field(
-                proto.STRING,
-                number=3,
-            )
-
-        class Constraints(proto.Message):
-            r"""Definition of the constraints of a field.
-
-            Attributes:
-                required (bool):
-                    Optional. Marks this field as optional or
-                    required.
-            """
-
-            required: bool = proto.Field(
-                proto.BOOL,
-                number=1,
-            )
-
-        class Annotations(proto.Message):
-            r"""Definition of the annotations of a field.
-
-            Attributes:
-                deprecated (str):
-                    Optional. Marks a field as deprecated. You
-                    can include a deprecation message.
-                display_name (str):
-                    Optional. Display name for a field.
-                description (str):
-                    Optional. Description for a field.
-                display_order (int):
-                    Optional. Display order for a field. You can
-                    use this to reorder where a field is rendered.
-                string_type (str):
-                    Optional. You can use String Type annotations to specify
-                    special meaning to string fields. The following values are
-                    supported:
-
-                    -  richText: The field must be interpreted as a rich text
-                       field.
-                    -  url: A fully qualified URL link.
-                    -  resource: A service qualified resource reference.
-                string_values (MutableSequence[str]):
-                    Optional. Suggested hints for string fields.
-                    You can use them to suggest values to users
-                    through console.
-            """
-
-            deprecated: str = proto.Field(
-                proto.STRING,
-                number=1,
-            )
-            display_name: str = proto.Field(
-                proto.STRING,
-                number=2,
-            )
-            description: str = proto.Field(
-                proto.STRING,
-                number=3,
-            )
-            display_order: int = proto.Field(
-                proto.INT32,
-                number=4,
-            )
-            string_type: str = proto.Field(
-                proto.STRING,
-                number=6,
-            )
-            string_values: MutableSequence[str] = proto.RepeatedField(
-                proto.STRING,
-                number=7,
-            )
-
-        index: int = proto.Field(
-            proto.INT32,
-            number=1,
-        )
-        name: str = proto.Field(
-            proto.STRING,
-            number=2,
-        )
-        type_: str = proto.Field(
-            proto.STRING,
-            number=5,
-        )
-        record_fields: MutableSequence['AspectType.MetadataTemplate'] = proto.RepeatedField(
-            proto.MESSAGE,
-            number=6,
-            message='AspectType.MetadataTemplate',
-        )
-        enum_values: MutableSequence['AspectType.MetadataTemplate.EnumValue'] = proto.RepeatedField(
-            proto.MESSAGE,
-            number=8,
-            message='AspectType.MetadataTemplate.EnumValue',
-        )
-        map_items: 'AspectType.MetadataTemplate' = proto.Field(
-            proto.MESSAGE,
-            number=10,
-            message='AspectType.MetadataTemplate',
-        )
-        array_items: 'AspectType.MetadataTemplate' = proto.Field(
-            proto.MESSAGE,
-            number=11,
-            message='AspectType.MetadataTemplate',
-        )
-        type_id: str = proto.Field(
-            proto.STRING,
-            number=12,
-        )
-        type_ref: str = proto.Field(
-            proto.STRING,
-            number=13,
-        )
-        constraints: 'AspectType.MetadataTemplate.Constraints' = proto.Field(
-            proto.MESSAGE,
-            number=50,
-            message='AspectType.MetadataTemplate.Constraints',
-        )
-        annotations: 'AspectType.MetadataTemplate.Annotations' = proto.Field(
-            proto.MESSAGE,
-            number=51,
-            message='AspectType.MetadataTemplate.Annotations',
-        )
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    uid: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    create_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=3,
-        message=timestamp_pb2.Timestamp,
-    )
-    update_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=4,
-        message=timestamp_pb2.Timestamp,
-    )
-    description: str = proto.Field(
-        proto.STRING,
-        number=5,
-    )
-    display_name: str = proto.Field(
-        proto.STRING,
-        number=6,
-    )
-    labels: MutableMapping[str, str] = proto.MapField(
-        proto.STRING,
-        proto.STRING,
-        number=7,
-    )
-    etag: str = proto.Field(
-        proto.STRING,
-        number=8,
-    )
-    authorization: Authorization = proto.Field(
-        proto.MESSAGE,
-        number=52,
-        message=Authorization,
-    )
-    metadata_template: MetadataTemplate = proto.Field(
-        proto.MESSAGE,
-        number=53,
-        message=MetadataTemplate,
-    )
-    transfer_status: 'TransferStatus' = proto.Field(
-        proto.ENUM,
-        number=202,
-        enum='TransferStatus',
-    )
-
-
-class EntryGroup(proto.Message):
-    r"""An Entry Group represents a logical grouping of one or more
-    Entries.
-
-    Attributes:
-        name (str):
-            Output only. The relative resource name of the EntryGroup,
-            in the format
-            projects/{project_id_or_number}/locations/{location_id}/entryGroups/{entry_group_id}.
-        uid (str):
-            Output only. System generated globally unique
-            ID for the EntryGroup. If you delete and
-            recreate the EntryGroup with the same name, this
-            ID will be different.
-        create_time (google.protobuf.timestamp_pb2.Timestamp):
-            Output only. The time when the EntryGroup was
-            created.
-        update_time (google.protobuf.timestamp_pb2.Timestamp):
-            Output only. The time when the EntryGroup was
-            last updated.
-        description (str):
-            Optional. Description of the EntryGroup.
-        display_name (str):
-            Optional. User friendly display name.
-        labels (MutableMapping[str, str]):
-            Optional. User-defined labels for the
-            EntryGroup.
-        etag (str):
-            This checksum is computed by the service, and
-            might be sent on update and delete requests to
-            ensure the client has an up-to-date value before
-            proceeding.
-        transfer_status (google.cloud.dataplex_v1.types.TransferStatus):
-            Output only. Denotes the transfer status of
-            the Entry Group. It is unspecified for Entry
-            Group created from Dataplex API.
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    uid: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    create_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=3,
-        message=timestamp_pb2.Timestamp,
-    )
-    update_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=4,
-        message=timestamp_pb2.Timestamp,
-    )
-    description: str = proto.Field(
-        proto.STRING,
-        number=5,
-    )
-    display_name: str = proto.Field(
-        proto.STRING,
-        number=6,
-    )
-    labels: MutableMapping[str, str] = proto.MapField(
-        proto.STRING,
-        proto.STRING,
-        number=7,
-    )
-    etag: str = proto.Field(
-        proto.STRING,
-        number=8,
-    )
-    transfer_status: 'TransferStatus' = proto.Field(
-        proto.ENUM,
-        number=202,
-        enum='TransferStatus',
-    )
-
-
-class EntryType(proto.Message):
-    r"""Entry Type is a template for creating Entries.
-
-    Attributes:
-        name (str):
-            Output only. The relative resource name of the EntryType, of
-            the form:
-            projects/{project_number}/locations/{location_id}/entryTypes/{entry_type_id}.
-        uid (str):
-            Output only. System generated globally unique
-            ID for the EntryType. This ID will be different
-            if the EntryType is deleted and re-created with
-            the same name.
-        create_time (google.protobuf.timestamp_pb2.Timestamp):
-            Output only. The time when the EntryType was
-            created.
-        update_time (google.protobuf.timestamp_pb2.Timestamp):
-            Output only. The time when the EntryType was
-            last updated.
-        description (str):
-            Optional. Description of the EntryType.
-        display_name (str):
-            Optional. User friendly display name.
-        labels (MutableMapping[str, str]):
-            Optional. User-defined labels for the
-            EntryType.
-        etag (str):
-            Optional. This checksum is computed by the
-            service, and might be sent on update and delete
-            requests to ensure the client has an up-to-date
-            value before proceeding.
-        type_aliases (MutableSequence[str]):
-            Optional. Indicates the classes this Entry
-            Type belongs to, for example, TABLE, DATABASE,
-            MODEL.
-        platform (str):
-            Optional. The platform that Entries of this
-            type belongs to.
-        system (str):
-            Optional. The system that Entries of this
-            type belongs to. Examples include CloudSQL,
-            MariaDB etc
-        required_aspects (MutableSequence[google.cloud.dataplex_v1.types.EntryType.AspectInfo]):
-            AspectInfo for the entry type.
-        authorization (google.cloud.dataplex_v1.types.EntryType.Authorization):
-            Immutable. Authorization defined for this
-            type.
-    """
-
-    class AspectInfo(proto.Message):
-        r"""
-
-        Attributes:
-            type_ (str):
-                Required aspect type for the entry type.
-        """
-
-        type_: str = proto.Field(
-            proto.STRING,
-            number=1,
-        )
-
-    class Authorization(proto.Message):
-        r"""Authorization for an Entry Type.
-
-        Attributes:
-            alternate_use_permission (str):
-                Immutable. The IAM permission grantable on
-                the Entry Group to allow access to instantiate
-                Entries of Dataplex owned Entry Types, only
-                settable for Dataplex owned Types.
-        """
-
-        alternate_use_permission: str = proto.Field(
-            proto.STRING,
-            number=1,
-        )
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    uid: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    create_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=3,
-        message=timestamp_pb2.Timestamp,
-    )
-    update_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=4,
-        message=timestamp_pb2.Timestamp,
-    )
-    description: str = proto.Field(
-        proto.STRING,
-        number=5,
-    )
-    display_name: str = proto.Field(
-        proto.STRING,
-        number=6,
-    )
-    labels: MutableMapping[str, str] = proto.MapField(
-        proto.STRING,
-        proto.STRING,
-        number=7,
-    )
-    etag: str = proto.Field(
-        proto.STRING,
-        number=8,
-    )
-    type_aliases: MutableSequence[str] = proto.RepeatedField(
-        proto.STRING,
-        number=9,
-    )
-    platform: str = proto.Field(
-        proto.STRING,
-        number=10,
-    )
-    system: str = proto.Field(
-        proto.STRING,
-        number=11,
-    )
-    required_aspects: MutableSequence[AspectInfo] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=50,
-        message=AspectInfo,
-    )
-    authorization: Authorization = proto.Field(
-        proto.MESSAGE,
-        number=51,
-        message=Authorization,
-    )
-
-
-class Aspect(proto.Message):
-    r"""An aspect is a single piece of metadata describing an entry.
-
-    Attributes:
-        aspect_type (str):
-            Output only. The resource name of the type
-            used to create this Aspect.
-        path (str):
-            Output only. The path in the entry under
-            which the aspect is attached.
-        create_time (google.protobuf.timestamp_pb2.Timestamp):
-            Output only. The time when the Aspect was
-            created.
-        update_time (google.protobuf.timestamp_pb2.Timestamp):
-            Output only. The time when the Aspect was
-            last updated.
-        data (google.protobuf.struct_pb2.Struct):
-            Required. The content of the aspect,
-            according to its aspect type schema. The maximum
-            size of the field is 120KB (encoded as UTF-8).
-        aspect_source (google.cloud.dataplex_v1.types.AspectSource):
-            Optional. Information related to the source
-            system of the aspect.
-    """
-
-    aspect_type: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    path: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    create_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=3,
-        message=timestamp_pb2.Timestamp,
-    )
-    update_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=4,
-        message=timestamp_pb2.Timestamp,
-    )
-    data: struct_pb2.Struct = proto.Field(
-        proto.MESSAGE,
-        number=8,
-        message=struct_pb2.Struct,
-    )
-    aspect_source: 'AspectSource' = proto.Field(
-        proto.MESSAGE,
-        number=9,
-        message='AspectSource',
-    )
-
-
-class AspectSource(proto.Message):
-    r"""Information related to the source system of the aspect.
-
-    Attributes:
-        create_time (google.protobuf.timestamp_pb2.Timestamp):
-            The time the aspect was created in the source
-            system.
-        update_time (google.protobuf.timestamp_pb2.Timestamp):
-            The time the aspect was last updated in the
-            source system.
-        data_version (str):
-            The version of the data format used to
-            produce this data. This field is used to
-            indicated when the underlying data format
-            changes (e.g., schema modifications, changes to
-            the source URL format definition, etc).
-    """
-
-    create_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=10,
-        message=timestamp_pb2.Timestamp,
-    )
-    update_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=11,
-        message=timestamp_pb2.Timestamp,
-    )
-    data_version: str = proto.Field(
-        proto.STRING,
-        number=12,
-    )
-
-
-class Entry(proto.Message):
-    r"""An entry is a representation of a data resource that can be
-    described by various metadata.
-
-    Attributes:
-        name (str):
-            Identifier. The relative resource name of the entry, in the
-            format
-            ``projects/{project_id_or_number}/locations/{location_id}/entryGroups/{entry_group_id}/entries/{entry_id}``.
-        entry_type (str):
-            Required. Immutable. The relative resource name of the entry
-            type that was used to create this entry, in the format
-            ``projects/{project_id_or_number}/locations/{location_id}/entryTypes/{entry_type_id}``.
-        create_time (google.protobuf.timestamp_pb2.Timestamp):
-            Output only. The time when the entry was
-            created in Dataplex.
-        update_time (google.protobuf.timestamp_pb2.Timestamp):
-            Output only. The time when the entry was last
-            updated in Dataplex.
-        aspects (MutableMapping[str, google.cloud.dataplex_v1.types.Aspect]):
-            Optional. The aspects that are attached to the entry.
-            Depending on how the aspect is attached to the entry, the
-            format of the aspect key can be one of the following:
-
-            -  If the aspect is attached directly to the entry:
-               ``{project_id_or_number}.{location_id}.{aspect_type_id}``
-            -  If the aspect is attached to an entry's path:
-               ``{project_id_or_number}.{location_id}.{aspect_type_id}@{path}``
-        parent_entry (str):
-            Optional. Immutable. The resource name of the
-            parent entry.
-        fully_qualified_name (str):
-            Optional. A name for the entry that can be referenced by an
-            external system. For more information, see `Fully qualified
-            names <https://cloud.google.com/data-catalog/docs/fully-qualified-names>`__.
-            The maximum size of the field is 4000 characters.
-        entry_source (google.cloud.dataplex_v1.types.EntrySource):
-            Optional. Information related to the source
-            system of the data resource that is represented
-            by the entry.
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    entry_type: str = proto.Field(
-        proto.STRING,
-        number=4,
-    )
-    create_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=5,
-        message=timestamp_pb2.Timestamp,
-    )
-    update_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=6,
-        message=timestamp_pb2.Timestamp,
-    )
-    aspects: MutableMapping[str, 'Aspect'] = proto.MapField(
-        proto.STRING,
-        proto.MESSAGE,
-        number=9,
-        message='Aspect',
-    )
-    parent_entry: str = proto.Field(
-        proto.STRING,
-        number=10,
-    )
-    fully_qualified_name: str = proto.Field(
-        proto.STRING,
-        number=12,
-    )
-    entry_source: 'EntrySource' = proto.Field(
-        proto.MESSAGE,
-        number=15,
-        message='EntrySource',
-    )
-
-
-class EntrySource(proto.Message):
-    r"""Information related to the source system of the data resource
-    that is represented by the entry.
-
-    Attributes:
-        resource (str):
-            The name of the resource in the source
-            system. Maximum length is 4,000 characters.
-        system (str):
-            The name of the source system.
-            Maximum length is 64 characters.
-        platform (str):
-            The platform containing the source system.
-            Maximum length is 64 characters.
-        display_name (str):
-            A user-friendly display name.
-            Maximum length is 500 characters.
-        description (str):
-            A description of the data resource.
-            Maximum length is 2,000 characters.
-        labels (MutableMapping[str, str]):
-            User-defined labels.
-            The maximum size of keys and values is 128
-            characters each.
-        ancestors (MutableSequence[google.cloud.dataplex_v1.types.EntrySource.Ancestor]):
-            Immutable. The entries representing the
-            ancestors of the data resource in the source
-            system.
-        create_time (google.protobuf.timestamp_pb2.Timestamp):
-            The time when the resource was created in the
-            source system.
-        update_time (google.protobuf.timestamp_pb2.Timestamp):
-            The time when the resource was last updated in the source
-            system. If the entry exists in the system and its
-            ``EntrySource`` has ``update_time`` populated, further
-            updates to the ``EntrySource`` of the entry must provide
-            incremental updates to its ``update_time``.
-        location (str):
-            Output only. Location of the resource in the
-            source system. You can search the entry by this
-            location. By default, this should match the
-            location of the entry group containing this
-            entry. A different value allows capturing the
-            source location for data external to Google
-            Cloud.
-    """
-
-    class Ancestor(proto.Message):
-        r"""Information about individual items in the hierarchy that is
-        associated with the data resource.
-
-        Attributes:
-            name (str):
-                Optional. The name of the ancestor resource.
-            type_ (str):
-                Optional. The type of the ancestor resource.
-        """
-
-        name: str = proto.Field(
-            proto.STRING,
-            number=1,
-        )
-        type_: str = proto.Field(
-            proto.STRING,
-            number=2,
-        )
-
-    resource: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    system: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    platform: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-    display_name: str = proto.Field(
-        proto.STRING,
-        number=5,
-    )
-    description: str = proto.Field(
-        proto.STRING,
-        number=6,
-    )
-    labels: MutableMapping[str, str] = proto.MapField(
-        proto.STRING,
-        proto.STRING,
-        number=7,
-    )
-    ancestors: MutableSequence[Ancestor] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=9,
-        message=Ancestor,
-    )
-    create_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=10,
-        message=timestamp_pb2.Timestamp,
-    )
-    update_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=11,
-        message=timestamp_pb2.Timestamp,
-    )
-    location: str = proto.Field(
-        proto.STRING,
-        number=12,
-    )
-
-
-class CreateEntryGroupRequest(proto.Message):
-    r"""Create EntryGroup Request.
-
-    Attributes:
-        parent (str):
-            Required. The resource name of the entryGroup, of the form:
-            projects/{project_number}/locations/{location_id} where
-            ``location_id`` refers to a GCP region.
-        entry_group_id (str):
-            Required. EntryGroup identifier.
-        entry_group (google.cloud.dataplex_v1.types.EntryGroup):
-            Required. EntryGroup Resource.
-        validate_only (bool):
-            Optional. The service validates the request
-            without performing any mutations. The default is
-            false.
-    """
-
-    parent: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    entry_group_id: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    entry_group: 'EntryGroup' = proto.Field(
-        proto.MESSAGE,
-        number=3,
-        message='EntryGroup',
-    )
-    validate_only: bool = proto.Field(
-        proto.BOOL,
-        number=4,
-    )
-
-
-class UpdateEntryGroupRequest(proto.Message):
-    r"""Update EntryGroup Request.
-
-    Attributes:
-        entry_group (google.cloud.dataplex_v1.types.EntryGroup):
-            Required. EntryGroup Resource.
-        update_mask (google.protobuf.field_mask_pb2.FieldMask):
-            Required. Mask of fields to update.
-        validate_only (bool):
-            Optional. The service validates the request,
-            without performing any mutations. The default is
-            false.
-    """
-
-    entry_group: 'EntryGroup' = proto.Field(
-        proto.MESSAGE,
-        number=1,
-        message='EntryGroup',
-    )
-    update_mask: field_mask_pb2.FieldMask = proto.Field(
-        proto.MESSAGE,
-        number=2,
-        message=field_mask_pb2.FieldMask,
-    )
-    validate_only: bool = proto.Field(
-        proto.BOOL,
-        number=3,
-    )
-
-
-class DeleteEntryGroupRequest(proto.Message):
-    r"""Delete EntryGroup Request.
-
-    Attributes:
-        name (str):
-            Required. The resource name of the EntryGroup:
-            ``projects/{project_number}/locations/{location_id}/entryGroups/{entry_group_id}``.
-        etag (str):
-            Optional. If the client provided etag value
-            does not match the current etag value, the
-            DeleteEntryGroupRequest method returns an
-            ABORTED error response.
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    etag: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-
-
-class ListEntryGroupsRequest(proto.Message):
-    r"""List entryGroups request.
-
-    Attributes:
-        parent (str):
-            Required. The resource name of the entryGroup location, of
-            the form:
-            ``projects/{project_number}/locations/{location_id}`` where
-            ``location_id`` refers to a Google Cloud region.
-        page_size (int):
-            Optional. Maximum number of EntryGroups to
-            return. The service may return fewer than this
-            value. If unspecified, the service returns at
-            most 10 EntryGroups. The maximum value is 1000;
-            values above 1000 will be coerced to 1000.
-        page_token (str):
-            Optional. Page token received from a previous
-            ``ListEntryGroups`` call. Provide this to retrieve the
-            subsequent page. When paginating, all other parameters you
-            provide to ``ListEntryGroups`` must match the call that
-            provided the page token.
-        filter (str):
-            Optional. Filter request.
-        order_by (str):
-            Optional. Order by fields for the result.
-    """
-
-    parent: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    page_size: int = proto.Field(
-        proto.INT32,
-        number=2,
-    )
-    page_token: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-    filter: str = proto.Field(
-        proto.STRING,
-        number=4,
-    )
-    order_by: str = proto.Field(
-        proto.STRING,
-        number=5,
-    )
-
-
-class ListEntryGroupsResponse(proto.Message):
-    r"""List entry groups response.
-
-    Attributes:
-        entry_groups (MutableSequence[google.cloud.dataplex_v1.types.EntryGroup]):
-            Entry groups under the given parent location.
-        next_page_token (str):
-            Token to retrieve the next page of results,
-            or empty if there are no more results in the
-            list.
-        unreachable_locations (MutableSequence[str]):
-            Locations that the service couldn't reach.
-    """
-
-    @property
-    def raw_page(self):
-        return self
-
-    entry_groups: MutableSequence['EntryGroup'] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=1,
-        message='EntryGroup',
-    )
-    next_page_token: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    unreachable_locations: MutableSequence[str] = proto.RepeatedField(
-        proto.STRING,
-        number=3,
-    )
-
-
-class GetEntryGroupRequest(proto.Message):
-    r"""Get EntryGroup request.
-
-    Attributes:
-        name (str):
-            Required. The resource name of the EntryGroup:
-            ``projects/{project_number}/locations/{location_id}/entryGroups/{entry_group_id}``.
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-
-
-class CreateEntryTypeRequest(proto.Message):
-    r"""Create EntryType Request.
-
-    Attributes:
-        parent (str):
-            Required. The resource name of the EntryType, of the form:
-            projects/{project_number}/locations/{location_id} where
-            ``location_id`` refers to a Google Cloud region.
-        entry_type_id (str):
-            Required. EntryType identifier.
-        entry_type (google.cloud.dataplex_v1.types.EntryType):
-            Required. EntryType Resource.
-        validate_only (bool):
-            Optional. The service validates the request
-            without performing any mutations. The default is
-            false.
-    """
-
-    parent: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    entry_type_id: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    entry_type: 'EntryType' = proto.Field(
-        proto.MESSAGE,
-        number=3,
-        message='EntryType',
-    )
-    validate_only: bool = proto.Field(
-        proto.BOOL,
-        number=4,
-    )
-
-
-class UpdateEntryTypeRequest(proto.Message):
-    r"""Update EntryType Request.
-
-    Attributes:
-        entry_type (google.cloud.dataplex_v1.types.EntryType):
-            Required. EntryType Resource.
-        update_mask (google.protobuf.field_mask_pb2.FieldMask):
-            Required. Mask of fields to update.
-        validate_only (bool):
-            Optional. The service validates the request
-            without performing any mutations. The default is
-            false.
-    """
-
-    entry_type: 'EntryType' = proto.Field(
-        proto.MESSAGE,
-        number=1,
-        message='EntryType',
-    )
-    update_mask: field_mask_pb2.FieldMask = proto.Field(
-        proto.MESSAGE,
-        number=2,
-        message=field_mask_pb2.FieldMask,
-    )
-    validate_only: bool = proto.Field(
-        proto.BOOL,
-        number=3,
-    )
-
-
-class DeleteEntryTypeRequest(proto.Message):
-    r"""Delele EntryType Request.
-
-    Attributes:
-        name (str):
-            Required. The resource name of the EntryType:
-            ``projects/{project_number}/locations/{location_id}/entryTypes/{entry_type_id}``.
-        etag (str):
-            Optional. If the client provided etag value
-            does not match the current etag value, the
-            DeleteEntryTypeRequest method returns an ABORTED
-            error response.
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    etag: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-
-
-class ListEntryTypesRequest(proto.Message):
-    r"""List EntryTypes request
-
-    Attributes:
-        parent (str):
-            Required. The resource name of the EntryType location, of
-            the form:
-            ``projects/{project_number}/locations/{location_id}`` where
-            ``location_id`` refers to a Google Cloud region.
-        page_size (int):
-            Optional. Maximum number of EntryTypes to
-            return. The service may return fewer than this
-            value. If unspecified, the service returns at
-            most 10 EntryTypes. The maximum value is 1000;
-            values above 1000 will be coerced to 1000.
-        page_token (str):
-            Optional. Page token received from a previous
-            ``ListEntryTypes`` call. Provide this to retrieve the
-            subsequent page. When paginating, all other parameters you
-            provided to ``ListEntryTypes`` must match the call that
-            provided the page token.
-        filter (str):
-            Optional. Filter request. Filters are case-sensitive. The
-            service supports the following formats:
-
-            -  labels.key1 = "value1"
-            -  labels:key1
-            -  name = "value"
-
-            These restrictions can be conjoined with AND, OR, and NOT
-            conjunctions.
-        order_by (str):
-            Optional. Orders the result by ``name`` or ``create_time``
-            fields. If not specified, the ordering is undefined.
-    """
-
-    parent: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    page_size: int = proto.Field(
-        proto.INT32,
-        number=2,
-    )
-    page_token: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-    filter: str = proto.Field(
-        proto.STRING,
-        number=4,
-    )
-    order_by: str = proto.Field(
-        proto.STRING,
-        number=5,
-    )
-
-
-class ListEntryTypesResponse(proto.Message):
-    r"""List EntryTypes response.
-
-    Attributes:
-        entry_types (MutableSequence[google.cloud.dataplex_v1.types.EntryType]):
-            EntryTypes under the given parent location.
-        next_page_token (str):
-            Token to retrieve the next page of results,
-            or empty if there are no more results in the
-            list.
-        unreachable_locations (MutableSequence[str]):
-            Locations that the service couldn't reach.
-    """
-
-    @property
-    def raw_page(self):
-        return self
-
-    entry_types: MutableSequence['EntryType'] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=1,
-        message='EntryType',
-    )
-    next_page_token: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    unreachable_locations: MutableSequence[str] = proto.RepeatedField(
-        proto.STRING,
-        number=3,
-    )
-
-
-class GetEntryTypeRequest(proto.Message):
-    r"""Get EntryType request.
-
-    Attributes:
-        name (str):
-            Required. The resource name of the EntryType:
-            ``projects/{project_number}/locations/{location_id}/entryTypes/{entry_type_id}``.
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-
-
-class CreateAspectTypeRequest(proto.Message):
-    r"""Create AspectType Request.
-
-    Attributes:
-        parent (str):
-            Required. The resource name of the AspectType, of the form:
-            projects/{project_number}/locations/{location_id} where
-            ``location_id`` refers to a Google Cloud region.
-        aspect_type_id (str):
-            Required. AspectType identifier.
-        aspect_type (google.cloud.dataplex_v1.types.AspectType):
-            Required. AspectType Resource.
-        validate_only (bool):
-            Optional. The service validates the request
-            without performing any mutations. The default is
-            false.
-    """
-
-    parent: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    aspect_type_id: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    aspect_type: 'AspectType' = proto.Field(
-        proto.MESSAGE,
-        number=3,
-        message='AspectType',
-    )
-    validate_only: bool = proto.Field(
-        proto.BOOL,
-        number=4,
-    )
-
-
-class UpdateAspectTypeRequest(proto.Message):
-    r"""Update AspectType Request
-
-    Attributes:
-        aspect_type (google.cloud.dataplex_v1.types.AspectType):
-            Required. AspectType Resource
-        update_mask (google.protobuf.field_mask_pb2.FieldMask):
-            Required. Mask of fields to update.
-        validate_only (bool):
-            Optional. Only validate the request, but do
-            not perform mutations. The default is false.
-    """
-
-    aspect_type: 'AspectType' = proto.Field(
-        proto.MESSAGE,
-        number=1,
-        message='AspectType',
-    )
-    update_mask: field_mask_pb2.FieldMask = proto.Field(
-        proto.MESSAGE,
-        number=2,
-        message=field_mask_pb2.FieldMask,
-    )
-    validate_only: bool = proto.Field(
-        proto.BOOL,
-        number=3,
-    )
-
-
-class DeleteAspectTypeRequest(proto.Message):
-    r"""Delele AspectType Request.
-
-    Attributes:
-        name (str):
-            Required. The resource name of the AspectType:
-            ``projects/{project_number}/locations/{location_id}/aspectTypes/{aspect_type_id}``.
-        etag (str):
-            Optional. If the client provided etag value
-            does not match the current etag value, the
-            DeleteAspectTypeRequest method returns an
-            ABORTED error response.
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    etag: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-
-
-class ListAspectTypesRequest(proto.Message):
-    r"""List AspectTypes request.
-
-    Attributes:
-        parent (str):
-            Required. The resource name of the AspectType location, of
-            the form:
-            ``projects/{project_number}/locations/{location_id}`` where
-            ``location_id`` refers to a Google Cloud region.
-        page_size (int):
-            Optional. Maximum number of AspectTypes to
-            return. The service may return fewer than this
-            value. If unspecified, the service returns at
-            most 10 AspectTypes. The maximum value is 1000;
-            values above 1000 will be coerced to 1000.
-        page_token (str):
-            Optional. Page token received from a previous
-            ``ListAspectTypes`` call. Provide this to retrieve the
-            subsequent page. When paginating, all other parameters you
-            provide to ``ListAspectTypes`` must match the call that
-            provided the page token.
-        filter (str):
-            Optional. Filter request. Filters are case-sensitive. The
-            service supports the following formats:
-
-            -  labels.key1 = "value1"
-            -  labels:key1
-            -  name = "value"
-
-            These restrictions can be conjoined with AND, OR, and NOT
-            conjunctions.
-        order_by (str):
-            Optional. Orders the result by ``name`` or ``create_time``
-            fields. If not specified, the ordering is undefined.
-    """
-
-    parent: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    page_size: int = proto.Field(
-        proto.INT32,
-        number=2,
-    )
-    page_token: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-    filter: str = proto.Field(
-        proto.STRING,
-        number=4,
-    )
-    order_by: str = proto.Field(
-        proto.STRING,
-        number=5,
-    )
-
-
-class ListAspectTypesResponse(proto.Message):
-    r"""List AspectTypes response.
-
-    Attributes:
-        aspect_types (MutableSequence[google.cloud.dataplex_v1.types.AspectType]):
-            AspectTypes under the given parent location.
-        next_page_token (str):
-            Token to retrieve the next page of results,
-            or empty if there are no more results in the
-            list.
-        unreachable_locations (MutableSequence[str]):
-            Locations that the service couldn't reach.
-    """
-
-    @property
-    def raw_page(self):
-        return self
-
-    aspect_types: MutableSequence['AspectType'] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=1,
-        message='AspectType',
-    )
-    next_page_token: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    unreachable_locations: MutableSequence[str] = proto.RepeatedField(
-        proto.STRING,
-        number=3,
-    )
-
-
-class GetAspectTypeRequest(proto.Message):
-    r"""Get AspectType request.
-
-    Attributes:
-        name (str):
-            Required. The resource name of the AspectType:
-            ``projects/{project_number}/locations/{location_id}/aspectTypes/{aspect_type_id}``.
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-
-
-class CreateEntryRequest(proto.Message):
-    r"""Create Entry request.
-
-    Attributes:
-        parent (str):
-            Required. The resource name of the parent Entry Group:
-            ``projects/{project}/locations/{location}/entryGroups/{entry_group}``.
-        entry_id (str):
-            Required. Entry identifier. It has to be unique within an
-            Entry Group.
-
-            Entries corresponding to Google Cloud resources use an Entry
-            ID format based on `full resource
-            names <https://cloud.google.com/apis/design/resource_names#full_resource_name>`__.
-            The format is a full resource name of the resource without
-            the prefix double slashes in the API service name part of
-            the full resource name. This allows retrieval of entries
-            using their associated resource name.
-
-            For example, if the full resource name of a resource is
-            ``//library.googleapis.com/shelves/shelf1/books/book2``,
-            then the suggested entry_id is
-            ``library.googleapis.com/shelves/shelf1/books/book2``.
-
-            It is also suggested to follow the same convention for
-            entries corresponding to resources from providers or systems
-            other than Google Cloud.
-
-            The maximum size of the field is 4000 characters.
-        entry (google.cloud.dataplex_v1.types.Entry):
-            Required. Entry resource.
-    """
-
-    parent: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    entry_id: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    entry: 'Entry' = proto.Field(
-        proto.MESSAGE,
-        number=3,
-        message='Entry',
-    )
-
-
-class UpdateEntryRequest(proto.Message):
-    r"""Update Entry request.
-
-    Attributes:
-        entry (google.cloud.dataplex_v1.types.Entry):
-            Required. Entry resource.
-        update_mask (google.protobuf.field_mask_pb2.FieldMask):
-            Optional. Mask of fields to update. To update Aspects, the
-            update_mask must contain the value "aspects".
-
-            If the update_mask is empty, the service will update all
-            modifiable fields present in the request.
-        allow_missing (bool):
-            Optional. If set to true and the entry
-            doesn't exist, the service will create it.
-        delete_missing_aspects (bool):
-            Optional. If set to true and the aspect_keys specify aspect
-            ranges, the service deletes any existing aspects from that
-            range that weren't provided in the request.
-        aspect_keys (MutableSequence[str]):
-            Optional. The map keys of the Aspects which the service
-            should modify. It supports the following syntaxes:
-
-            -  ``<aspect_type_reference>`` - matches an aspect of the
-               given type and empty path.
-            -  ``<aspect_type_reference>@path`` - matches an aspect of
-               the given type and specified path. For example, to attach
-               an aspect to a field that is specified by the ``schema``
-               aspect, the path should have the format
-               ``Schema.<field_name>``.
-            -  ``<aspect_type_reference>*`` - matches aspects of the
-               given type for all paths.
-            -  ``*@path`` - matches aspects of all types on the given
-               path.
-
-            The service will not remove existing aspects matching the
-            syntax unless ``delete_missing_aspects`` is set to true.
-
-            If this field is left empty, the service treats it as
-            specifying exactly those Aspects present in the request.
-    """
-
-    entry: 'Entry' = proto.Field(
-        proto.MESSAGE,
-        number=1,
-        message='Entry',
-    )
-    update_mask: field_mask_pb2.FieldMask = proto.Field(
-        proto.MESSAGE,
-        number=2,
-        message=field_mask_pb2.FieldMask,
-    )
-    allow_missing: bool = proto.Field(
-        proto.BOOL,
-        number=3,
-    )
-    delete_missing_aspects: bool = proto.Field(
-        proto.BOOL,
-        number=4,
-    )
-    aspect_keys: MutableSequence[str] = proto.RepeatedField(
-        proto.STRING,
-        number=5,
-    )
-
-
-class DeleteEntryRequest(proto.Message):
-    r"""Delete Entry request.
-
-    Attributes:
-        name (str):
-            Required. The resource name of the Entry:
-            ``projects/{project}/locations/{location}/entryGroups/{entry_group}/entries/{entry}``.
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-
-
-class ListEntriesRequest(proto.Message):
-    r"""List Entries request.
-
-    Attributes:
-        parent (str):
-            Required. The resource name of the parent Entry Group:
-            ``projects/{project}/locations/{location}/entryGroups/{entry_group}``.
-        page_size (int):
-            Optional. Number of items to return per page. If there are
-            remaining results, the service returns a next_page_token. If
-            unspecified, the service returns at most 10 Entries. The
-            maximum value is 100; values above 100 will be coerced to
-            100.
-        page_token (str):
-            Optional. Page token received from a previous
-            ``ListEntries`` call. Provide this to retrieve the
-            subsequent page.
-        filter (str):
-            Optional. A filter on the entries to return. Filters are
-            case-sensitive. You can filter the request by the following
-            fields:
-
-            -  entry_type
-            -  entry_source.display_name
-
-            The comparison operators are =, !=, <, >, <=, >=. The
-            service compares strings according to lexical order.
-
-            You can use the logical operators AND, OR, NOT in the
-            filter.
-
-            You can use Wildcard "*", but for entry_type you need to
-            provide the full project id or number.
-
-            Example filter expressions:
-
-            -  "entry_source.display_name=AnExampleDisplayName"
-            -  "entry_type=projects/example-project/locations/global/entryTypes/example-entry_type"
-            -  "entry_type=projects/example-project/locations/us/entryTypes/a\*
-               OR entry_type=projects/another-project/locations/*"
-            -  "NOT entry_source.display_name=AnotherExampleDisplayName".
-    """
-
-    parent: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    page_size: int = proto.Field(
-        proto.INT32,
-        number=2,
-    )
-    page_token: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-    filter: str = proto.Field(
-        proto.STRING,
-        number=4,
-    )
-
-
-class ListEntriesResponse(proto.Message):
-    r"""List Entries response.
-
-    Attributes:
-        entries (MutableSequence[google.cloud.dataplex_v1.types.Entry]):
-            The list of entries under the given parent
-            location.
-        next_page_token (str):
-            Token to retrieve the next page of results,
-            or empty if there are no more results in the
-            list.
-    """
-
-    @property
-    def raw_page(self):
-        return self
-
-    entries: MutableSequence['Entry'] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=1,
-        message='Entry',
-    )
-    next_page_token: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-
-
-class GetEntryRequest(proto.Message):
-    r"""Get Entry request.
-
-    Attributes:
-        name (str):
-            Required. The resource name of the Entry:
-            ``projects/{project}/locations/{location}/entryGroups/{entry_group}/entries/{entry}``.
-        view (google.cloud.dataplex_v1.types.EntryView):
-            Optional. View to control which parts of an
-            entry the service should return.
-        aspect_types (MutableSequence[str]):
-            Optional. Limits the aspects returned to the
-            provided aspect types. It only works for CUSTOM
-            view.
-        paths (MutableSequence[str]):
-            Optional. Limits the aspects returned to
-            those associated with the provided paths within
-            the Entry. It only works for CUSTOM view.
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    view: 'EntryView' = proto.Field(
-        proto.ENUM,
-        number=2,
-        enum='EntryView',
-    )
-    aspect_types: MutableSequence[str] = proto.RepeatedField(
-        proto.STRING,
-        number=3,
-    )
-    paths: MutableSequence[str] = proto.RepeatedField(
-        proto.STRING,
-        number=4,
-    )
-
-
-class LookupEntryRequest(proto.Message):
-    r"""Lookup Entry request using permissions in the source system.
-
-    Attributes:
-        name (str):
-            Required. The project to which the request should be
-            attributed in the following form:
-            ``projects/{project}/locations/{location}``.
-        view (google.cloud.dataplex_v1.types.EntryView):
-            Optional. View to control which parts of an
-            entry the service should return.
-        aspect_types (MutableSequence[str]):
-            Optional. Limits the aspects returned to the
-            provided aspect types. It only works for CUSTOM
-            view.
-        paths (MutableSequence[str]):
-            Optional. Limits the aspects returned to
-            those associated with the provided paths within
-            the Entry. It only works for CUSTOM view.
-        entry (str):
-            Required. The resource name of the Entry:
-            ``projects/{project}/locations/{location}/entryGroups/{entry_group}/entries/{entry}``.
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    view: 'EntryView' = proto.Field(
-        proto.ENUM,
-        number=2,
-        enum='EntryView',
-    )
-    aspect_types: MutableSequence[str] = proto.RepeatedField(
-        proto.STRING,
-        number=3,
-    )
-    paths: MutableSequence[str] = proto.RepeatedField(
-        proto.STRING,
-        number=4,
-    )
-    entry: str = proto.Field(
-        proto.STRING,
-        number=5,
-    )
-
-
-class SearchEntriesRequest(proto.Message):
-    r"""
-
-    Attributes:
-        name (str):
-            Required. The project to which the request should be
-            attributed in the following form:
-            ``projects/{project}/locations/{location}``.
-        query (str):
-            Required. The query against which entries in
-            scope should be matched.
-        page_size (int):
-            Optional. Number of results in the search page. If <=0, then
-            defaults to 10. Max limit for page_size is 1000. Throws an
-            invalid argument for page_size > 1000.
-        page_token (str):
-            Optional. Page token received from a previous
-            ``SearchEntries`` call. Provide this to retrieve the
-            subsequent page.
-        order_by (str):
-            Optional. Specifies the ordering of results.
-        scope (str):
-            Optional. The scope under which the search should be
-            operating. It must either be ``organizations/<org_id>`` or
-            ``projects/<project_ref>``. If it is unspecified, it
-            defaults to the organization where the project provided in
-            ``name`` is located.
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    query: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    page_size: int = proto.Field(
-        proto.INT32,
-        number=3,
-    )
-    page_token: str = proto.Field(
-        proto.STRING,
-        number=4,
-    )
-    order_by: str = proto.Field(
-        proto.STRING,
-        number=5,
-    )
-    scope: str = proto.Field(
-        proto.STRING,
-        number=7,
-    )
-
-
-class SearchEntriesResult(proto.Message):
-    r"""A single result of a SearchEntries request.
-
-    Attributes:
-        linked_resource (str):
-            Linked resource name.
-        dataplex_entry (google.cloud.dataplex_v1.types.Entry):
-
-        snippets (google.cloud.dataplex_v1.types.SearchEntriesResult.Snippets):
-            Snippets.
-    """
-
-    class Snippets(proto.Message):
-        r"""Snippets for the entry, contains HTML-style highlighting for
-        matched tokens, will be used in UI.
-
-        Attributes:
-            dataplex_entry (google.cloud.dataplex_v1.types.Entry):
-                Entry
-        """
-
-        dataplex_entry: 'Entry' = proto.Field(
-            proto.MESSAGE,
-            number=1,
-            message='Entry',
-        )
-
-    linked_resource: str = proto.Field(
-        proto.STRING,
-        number=8,
-    )
-    dataplex_entry: 'Entry' = proto.Field(
-        proto.MESSAGE,
-        number=9,
-        message='Entry',
-    )
-    snippets: Snippets = proto.Field(
-        proto.MESSAGE,
-        number=12,
-        message=Snippets,
-    )
-
-
-class SearchEntriesResponse(proto.Message):
-    r"""
-
-    Attributes:
-        results (MutableSequence[google.cloud.dataplex_v1.types.SearchEntriesResult]):
-            The results matching the search query.
-        total_size (int):
-            The estimated total number of matching
-            entries. This number isn't guaranteed to be
-            accurate.
-        next_page_token (str):
-            Token to retrieve the next page of results,
-            or empty if there are no more results in the
-            list.
-        unreachable (MutableSequence[str]):
-            Locations that the service couldn't reach.
-            Search results don't include data from these
-            locations.
-    """
-
-    @property
-    def raw_page(self):
-        return self
-
-    results: MutableSequence['SearchEntriesResult'] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=1,
-        message='SearchEntriesResult',
-    )
-    total_size: int = proto.Field(
-        proto.INT32,
-        number=2,
-    )
-    next_page_token: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-    unreachable: MutableSequence[str] = proto.RepeatedField(
-        proto.STRING,
-        number=4,
-    )
-
-
-class ImportItem(proto.Message):
-    r"""An object that describes the values that you want to set for an
-    entry and its attached aspects when you import metadata. Used when
-    you run a metadata import job. See
-    [CreateMetadataJob][google.cloud.dataplex.v1.CatalogService.CreateMetadataJob].
-
-    You provide a collection of import items in a metadata import file.
-    For more information about how to create a metadata import file, see
-    `Metadata import
-    file <https://cloud.google.com/dataplex/docs/import-metadata#metadata-import-file>`__.
-
-    Attributes:
-        entry (google.cloud.dataplex_v1.types.Entry):
-            Information about an entry and its attached
-            aspects.
-        update_mask (google.protobuf.field_mask_pb2.FieldMask):
-            The fields to update, in paths that are relative to the
-            ``Entry`` resource. Separate each field with a comma.
-
-            In ``FULL`` entry sync mode, Dataplex includes the paths of
-            all of the fields for an entry that can be modified,
-            including aspects. This means that Dataplex replaces the
-            existing entry with the entry in the metadata import file.
-            All modifiable fields are updated, regardless of the fields
-            that are listed in the update mask, and regardless of
-            whether a field is present in the ``entry`` object.
-
-            The ``update_mask`` field is ignored when an entry is
-            created or re-created.
-
-            Dataplex also determines which entries and aspects to modify
-            by comparing the values and timestamps that you provide in
-            the metadata import file with the values and timestamps that
-            exist in your project. For more information, see `Comparison
-            logic <https://cloud.google.com/dataplex/docs/import-metadata#data-modification-logic>`__.
-        aspect_keys (MutableSequence[str]):
-            The aspects to modify. Supports the following syntaxes:
-
-            -  ``{aspect_type_reference}``: matches aspects that belong
-               to the specified aspect type and are attached directly to
-               the entry.
-            -  ``{aspect_type_reference}@{path}``: matches aspects that
-               belong to the specified aspect type and path.
-            -  ``{aspect_type_reference}@*``: matches aspects that
-               belong to the specified aspect type for all paths.
-
-            Replace ``{aspect_type_reference}`` with a reference to the
-            aspect type, in the format
-            ``{project_id_or_number}.{location_id}.{aspect_type_id}``.
-
-            If you leave this field empty, it is treated as specifying
-            exactly those aspects that are present within the specified
-            entry.
-
-            In ``FULL`` entry sync mode, Dataplex implicitly adds the
-            keys for all of the required aspects of an entry.
-    """
-
-    entry: 'Entry' = proto.Field(
-        proto.MESSAGE,
-        number=1,
-        message='Entry',
-    )
-    update_mask: field_mask_pb2.FieldMask = proto.Field(
-        proto.MESSAGE,
-        number=2,
-        message=field_mask_pb2.FieldMask,
-    )
-    aspect_keys: MutableSequence[str] = proto.RepeatedField(
-        proto.STRING,
-        number=3,
-    )
-
-
-class CreateMetadataJobRequest(proto.Message):
-    r"""Create metadata job request.
-
-    Attributes:
-        parent (str):
-            Required. The resource name of the parent location, in the
-            format
-            ``projects/{project_id_or_number}/locations/{location_id}``
-        metadata_job (google.cloud.dataplex_v1.types.MetadataJob):
-            Required. The metadata job resource.
-        metadata_job_id (str):
-            Optional. The metadata job ID. If not provided, a unique ID
-            is generated with the prefix ``metadata-job-``.
-        validate_only (bool):
-            Optional. The service validates the request
-            without performing any mutations. The default is
-            false.
-    """
-
-    parent: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    metadata_job: 'MetadataJob' = proto.Field(
-        proto.MESSAGE,
-        number=2,
-        message='MetadataJob',
-    )
-    metadata_job_id: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-    validate_only: bool = proto.Field(
-        proto.BOOL,
-        number=4,
-    )
-
-
-class GetMetadataJobRequest(proto.Message):
-    r"""Get metadata job request.
-
-    Attributes:
-        name (str):
-            Required. The resource name of the metadata job, in the
-            format
-            ``projects/{project_id_or_number}/locations/{location_id}/metadataJobs/{metadata_job_id}``.
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-
-
-class ListMetadataJobsRequest(proto.Message):
-    r"""List metadata jobs request.
-
-    Attributes:
-        parent (str):
-            Required. The resource name of the parent location, in the
-            format
-            ``projects/{project_id_or_number}/locations/{location_id}``
-        page_size (int):
-            Optional. The maximum number of metadata jobs
-            to return. The service might return fewer jobs
-            than this value. If unspecified, at most 10 jobs
-            are returned. The maximum value is 1,000.
-        page_token (str):
-            Optional. The page token received from a previous
-            ``ListMetadataJobs`` call. Provide this token to retrieve
-            the subsequent page of results. When paginating, all other
-            parameters that are provided to the ``ListMetadataJobs``
-            request must match the call that provided the page token.
-        filter (str):
-            Optional. Filter request. Filters are case-sensitive. The
-            service supports the following formats:
-
-            -  ``labels.key1 = "value1"``
-            -  ``labels:key1``
-            -  ``name = "value"``
-
-            You can combine filters with ``AND``, ``OR``, and ``NOT``
-            operators.
-        order_by (str):
-            Optional. The field to sort the results by, either ``name``
-            or ``create_time``. If not specified, the ordering is
-            undefined.
-    """
-
-    parent: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    page_size: int = proto.Field(
-        proto.INT32,
-        number=2,
-    )
-    page_token: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-    filter: str = proto.Field(
-        proto.STRING,
-        number=4,
-    )
-    order_by: str = proto.Field(
-        proto.STRING,
-        number=5,
-    )
-
-
-class ListMetadataJobsResponse(proto.Message):
-    r"""List metadata jobs response.
-
-    Attributes:
-        metadata_jobs (MutableSequence[google.cloud.dataplex_v1.types.MetadataJob]):
-            Metadata jobs under the specified parent
-            location.
-        next_page_token (str):
-            A token to retrieve the next page of results.
-            If there are no more results in the list, the
-            value is empty.
-        unreachable_locations (MutableSequence[str]):
-            Locations that the service couldn't reach.
-    """
-
-    @property
-    def raw_page(self):
-        return self
-
-    metadata_jobs: MutableSequence['MetadataJob'] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=1,
-        message='MetadataJob',
-    )
-    next_page_token: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    unreachable_locations: MutableSequence[str] = proto.RepeatedField(
-        proto.STRING,
-        number=3,
-    )
-
-
-class CancelMetadataJobRequest(proto.Message):
-    r"""Cancel metadata job request.
-
-    Attributes:
-        name (str):
-            Required. The resource name of the job, in the format
-            ``projects/{project_id_or_number}/locations/{location_id}/metadataJobs/{metadata_job_id}``
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-
-
-class MetadataJob(proto.Message):
-    r"""A metadata job resource.
-
-    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
-
-    Attributes:
-        name (str):
-            Output only. Identifier. The name of the resource that the
-            configuration is applied to, in the format
-            ``projects/{project_number}/locations/{location_id}/metadataJobs/{metadata_job_id}``.
-        uid (str):
-            Output only. A system-generated, globally
-            unique ID for the metadata job. If the metadata
-            job is deleted and then re-created with the same
-            name, this ID is different.
-        create_time (google.protobuf.timestamp_pb2.Timestamp):
-            Output only. The time when the metadata job
-            was created.
-        update_time (google.protobuf.timestamp_pb2.Timestamp):
-            Output only. The time when the metadata job
-            was updated.
-        labels (MutableMapping[str, str]):
-            Optional. User-defined labels.
-        type_ (google.cloud.dataplex_v1.types.MetadataJob.Type):
-            Required. Metadata job type.
-        import_spec (google.cloud.dataplex_v1.types.MetadataJob.ImportJobSpec):
-            Import job specification.
-
-            This field is a member of `oneof`_ ``spec``.
-        import_result (google.cloud.dataplex_v1.types.MetadataJob.ImportJobResult):
-            Output only. Import job result.
-
-            This field is a member of `oneof`_ ``result``.
-        status (google.cloud.dataplex_v1.types.MetadataJob.Status):
-            Output only. Metadata job status.
-    """
-    class Type(proto.Enum):
-        r"""Metadata job type.
-
-        Values:
-            TYPE_UNSPECIFIED (0):
-                Unspecified.
-            IMPORT (1):
-                Import job.
-        """
-        TYPE_UNSPECIFIED = 0
-        IMPORT = 1
-
-    class ImportJobResult(proto.Message):
-        r"""Results from a metadata import job.
-
-        Attributes:
-            deleted_entries (int):
-                Output only. The total number of entries that
-                were deleted.
-            updated_entries (int):
-                Output only. The total number of entries that
-                were updated.
-            created_entries (int):
-                Output only. The total number of entries that
-                were created.
-            unchanged_entries (int):
-                Output only. The total number of entries that
-                were unchanged.
-            recreated_entries (int):
-                Output only. The total number of entries that
-                were recreated.
-            update_time (google.protobuf.timestamp_pb2.Timestamp):
-                Output only. The time when the status was
-                updated.
-        """
-
-        deleted_entries: int = proto.Field(
-            proto.INT64,
-            number=1,
-        )
-        updated_entries: int = proto.Field(
-            proto.INT64,
-            number=2,
-        )
-        created_entries: int = proto.Field(
-            proto.INT64,
-            number=3,
-        )
-        unchanged_entries: int = proto.Field(
-            proto.INT64,
-            number=4,
-        )
-        recreated_entries: int = proto.Field(
-            proto.INT64,
-            number=6,
-        )
-        update_time: timestamp_pb2.Timestamp = proto.Field(
-            proto.MESSAGE,
-            number=5,
-            message=timestamp_pb2.Timestamp,
-        )
-
-    class ImportJobSpec(proto.Message):
-        r"""Job specification for a metadata import job
-
-        Attributes:
-            source_storage_uri (str):
-                Optional. The URI of a Cloud Storage bucket or folder
-                (beginning with ``gs://`` and ending with ``/``) that
-                contains the metadata import files for this job.
-
-                A metadata import file defines the values to set for each of
-                the entries and aspects in a metadata job. For more
-                information about how to create a metadata import file and
-                the file requirements, see `Metadata import
-                file <https://cloud.google.com/dataplex/docs/import-metadata#metadata-import-file>`__.
-
-                You can provide multiple metadata import files in the same
-                metadata job. The bucket or folder must contain at least one
-                metadata import file, in JSON Lines format (either ``.json``
-                or ``.jsonl`` file extension).
-
-                In ``FULL`` entry sync mode, don't save the metadata import
-                file in a folder named ``SOURCE_STORAGE_URI/deletions/``.
-
-                **Caution**: If the metadata import file contains no data,
-                all entries and aspects that belong to the job's scope are
-                deleted.
-            source_create_time (google.protobuf.timestamp_pb2.Timestamp):
-                Optional. The time when the process that
-                created the metadata import files began.
-            scope (google.cloud.dataplex_v1.types.MetadataJob.ImportJobSpec.ImportJobScope):
-                Required. A boundary on the scope of impact
-                that the metadata import job can have.
-            entry_sync_mode (google.cloud.dataplex_v1.types.MetadataJob.ImportJobSpec.SyncMode):
-                Required. The sync mode for entries. Only ``FULL`` mode is
-                supported for entries. All entries in the job's scope are
-                modified. If an entry exists in Dataplex but isn't included
-                in the metadata import file, the entry is deleted when you
-                run the metadata job.
-            aspect_sync_mode (google.cloud.dataplex_v1.types.MetadataJob.ImportJobSpec.SyncMode):
-                Required. The sync mode for aspects. Only ``INCREMENTAL``
-                mode is supported for aspects. An aspect is modified only if
-                the metadata import file includes a reference to the aspect
-                in the ``update_mask`` field and the ``aspect_keys`` field.
-            log_level (google.cloud.dataplex_v1.types.MetadataJob.ImportJobSpec.LogLevel):
-                Optional. The level of logs to write to Cloud Logging for
-                this job.
-
-                Debug-level logs provide highly-detailed information for
-                troubleshooting, but their increased verbosity could incur
-                `additional
-                costs <https://cloud.google.com/stackdriver/pricing>`__ that
-                might not be merited for all jobs.
-
-                If unspecified, defaults to ``INFO``.
-        """
-        class SyncMode(proto.Enum):
-            r"""Specifies how the entries and aspects in a metadata job are
-            updated.
-
-            Values:
-                SYNC_MODE_UNSPECIFIED (0):
-                    Sync mode unspecified.
-                FULL (1):
-                    All resources in the job's scope are
-                    modified. If a resource exists in Dataplex but
-                    isn't included in the metadata import file, the
-                    resource is deleted when you run the metadata
-                    job. Use this mode to perform a full sync of the
-                    set of entries in the job scope.
-                INCREMENTAL (2):
-                    Only the entries and aspects that are
-                    explicitly included in the metadata import file
-                    are modified. Use this mode to modify a subset
-                    of resources while leaving unreferenced
-                    resources unchanged.
-            """
-            SYNC_MODE_UNSPECIFIED = 0
-            FULL = 1
-            INCREMENTAL = 2
-
-        class LogLevel(proto.Enum):
-            r"""The level of logs to write to Cloud Logging for this job.
-
-            Values:
-                LOG_LEVEL_UNSPECIFIED (0):
-                    Log level unspecified.
-                DEBUG (1):
-                    Debug-level logging. Captures detailed logs for each import
-                    item. Use debug-level logging to troubleshoot issues with
-                    specific import items. For example, use debug-level logging
-                    to identify resources that are missing from the job scope,
-                    entries or aspects that don't conform to the associated
-                    entry type or aspect type, or other misconfigurations with
-                    the metadata import file.
-
-                    Depending on the size of your metadata job and the number of
-                    logs that are generated, debug-level logging might incur
-                    `additional
-                    costs <https://cloud.google.com/stackdriver/pricing>`__.
-                INFO (2):
-                    Info-level logging. Captures logs at the
-                    overall job level. Includes aggregate logs about
-                    import items, but doesn't specify which import
-                    item has an error.
-            """
-            LOG_LEVEL_UNSPECIFIED = 0
-            DEBUG = 1
-            INFO = 2
-
-        class ImportJobScope(proto.Message):
-            r"""A boundary on the scope of impact that the metadata import
-            job can have.
-
-            Attributes:
-                entry_groups (MutableSequence[str]):
-                    Required. The entry group that is in scope for the import
-                    job, specified as a relative resource name in the format
-                    ``projects/{project_number_or_id}/locations/{location_id}/entryGroups/{entry_group_id}``.
-                    Only entries that belong to the specified entry group are
-                    affected by the job.
-
-                    Must contain exactly one element. The entry group and the
-                    job must be in the same location.
-                entry_types (MutableSequence[str]):
-                    Required. The entry types that are in scope for the import
-                    job, specified as relative resource names in the format
-                    ``projects/{project_number_or_id}/locations/{location_id}/entryTypes/{entry_type_id}``.
-                    The job modifies only the entries that belong to these entry
-                    types.
-
-                    If the metadata import file attempts to modify an entry
-                    whose type isn't included in this list, the import job is
-                    halted before modifying any entries or aspects.
-
-                    The location of an entry type must either match the location
-                    of the job, or the entry type must be global.
-                aspect_types (MutableSequence[str]):
-                    Optional. The aspect types that are in scope for the import
-                    job, specified as relative resource names in the format
-                    ``projects/{project_number_or_id}/locations/{location_id}/aspectTypes/{aspect_type_id}``.
-                    The job modifies only the aspects that belong to these
-                    aspect types.
-
-                    If the metadata import file attempts to modify an aspect
-                    whose type isn't included in this list, the import job is
-                    halted before modifying any entries or aspects.
-
-                    The location of an aspect type must either match the
-                    location of the job, or the aspect type must be global.
-            """
-
-            entry_groups: MutableSequence[str] = proto.RepeatedField(
-                proto.STRING,
-                number=1,
-            )
-            entry_types: MutableSequence[str] = proto.RepeatedField(
-                proto.STRING,
-                number=2,
-            )
-            aspect_types: MutableSequence[str] = proto.RepeatedField(
-                proto.STRING,
-                number=3,
-            )
-
-        source_storage_uri: str = proto.Field(
-            proto.STRING,
-            number=1,
-        )
-        source_create_time: timestamp_pb2.Timestamp = proto.Field(
-            proto.MESSAGE,
-            number=5,
-            message=timestamp_pb2.Timestamp,
-        )
-        scope: 'MetadataJob.ImportJobSpec.ImportJobScope' = proto.Field(
-            proto.MESSAGE,
-            number=2,
-            message='MetadataJob.ImportJobSpec.ImportJobScope',
-        )
-        entry_sync_mode: 'MetadataJob.ImportJobSpec.SyncMode' = proto.Field(
-            proto.ENUM,
-            number=3,
-            enum='MetadataJob.ImportJobSpec.SyncMode',
-        )
-        aspect_sync_mode: 'MetadataJob.ImportJobSpec.SyncMode' = proto.Field(
-            proto.ENUM,
-            number=4,
-            enum='MetadataJob.ImportJobSpec.SyncMode',
-        )
-        log_level: 'MetadataJob.ImportJobSpec.LogLevel' = proto.Field(
-            proto.ENUM,
-            number=6,
-            enum='MetadataJob.ImportJobSpec.LogLevel',
-        )
-
-    class Status(proto.Message):
-        r"""Metadata job status.
-
-        Attributes:
-            state (google.cloud.dataplex_v1.types.MetadataJob.Status.State):
-                Output only. State of the metadata job.
-            message (str):
-                Output only. Message relating to the
-                progression of a metadata job.
-            completion_percent (int):
-                Output only. Progress tracking.
-            update_time (google.protobuf.timestamp_pb2.Timestamp):
-                Output only. The time when the status was
-                updated.
-        """
-        class State(proto.Enum):
-            r"""State of a metadata job.
-
-            Values:
-                STATE_UNSPECIFIED (0):
-                    State unspecified.
-                QUEUED (1):
-                    The job is queued.
-                RUNNING (2):
-                    The job is running.
-                CANCELING (3):
-                    The job is being canceled.
-                CANCELED (4):
-                    The job is canceled.
-                SUCCEEDED (5):
-                    The job succeeded.
-                FAILED (6):
-                    The job failed.
-                SUCCEEDED_WITH_ERRORS (7):
-                    The job completed with some errors.
-            """
-            STATE_UNSPECIFIED = 0
-            QUEUED = 1
-            RUNNING = 2
-            CANCELING = 3
-            CANCELED = 4
-            SUCCEEDED = 5
-            FAILED = 6
-            SUCCEEDED_WITH_ERRORS = 7
-
-        state: 'MetadataJob.Status.State' = proto.Field(
-            proto.ENUM,
-            number=1,
-            enum='MetadataJob.Status.State',
-        )
-        message: str = proto.Field(
-            proto.STRING,
-            number=2,
-        )
-        completion_percent: int = proto.Field(
-            proto.INT32,
-            number=3,
-        )
-        update_time: timestamp_pb2.Timestamp = proto.Field(
-            proto.MESSAGE,
-            number=4,
-            message=timestamp_pb2.Timestamp,
-        )
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    uid: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    create_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=3,
-        message=timestamp_pb2.Timestamp,
-    )
-    update_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=4,
-        message=timestamp_pb2.Timestamp,
-    )
-    labels: MutableMapping[str, str] = proto.MapField(
-        proto.STRING,
-        proto.STRING,
-        number=5,
-    )
-    type_: Type = proto.Field(
-        proto.ENUM,
-        number=6,
-        enum=Type,
-    )
-    import_spec: ImportJobSpec = proto.Field(
-        proto.MESSAGE,
-        number=100,
-        oneof='spec',
-        message=ImportJobSpec,
-    )
-    import_result: ImportJobResult = proto.Field(
-        proto.MESSAGE,
-        number=200,
-        oneof='result',
-        message=ImportJobResult,
-    )
-    status: Status = proto.Field(
-        proto.MESSAGE,
-        number=7,
-        message=Status,
-    )
-
-
-__all__ = tuple(sorted(__protobuf__.manifest))
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/content.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/content.py
deleted file mode 100644
index d78845393886..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/content.py
+++ /dev/null
@@ -1,227 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from __future__ import annotations
-
-from typing import MutableMapping, MutableSequence
-
-import proto  # type: ignore
-
-from google.cloud.dataplex_v1.types import analyze
-from google.protobuf import field_mask_pb2  # type: ignore
-
-
-__protobuf__ = proto.module(
-    package='google.cloud.dataplex.v1',
-    manifest={
-        'CreateContentRequest',
-        'UpdateContentRequest',
-        'DeleteContentRequest',
-        'ListContentRequest',
-        'ListContentResponse',
-        'GetContentRequest',
-    },
-)
-
-
-class CreateContentRequest(proto.Message):
-    r"""Create content request.
-
-    Attributes:
-        parent (str):
-            Required. The resource name of the parent lake:
-            projects/{project_id}/locations/{location_id}/lakes/{lake_id}
-        content (google.cloud.dataplex_v1.types.Content):
-            Required. Content resource.
-        validate_only (bool):
-            Optional. Only validate the request, but do
-            not perform mutations. The default is false.
-    """
-
-    parent: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    content: analyze.Content = proto.Field(
-        proto.MESSAGE,
-        number=2,
-        message=analyze.Content,
-    )
-    validate_only: bool = proto.Field(
-        proto.BOOL,
-        number=3,
-    )
-
-
-class UpdateContentRequest(proto.Message):
-    r"""Update content request.
-
-    Attributes:
-        update_mask (google.protobuf.field_mask_pb2.FieldMask):
-            Required. Mask of fields to update.
-        content (google.cloud.dataplex_v1.types.Content):
-            Required. Update description. Only fields specified in
-            ``update_mask`` are updated.
-        validate_only (bool):
-            Optional. Only validate the request, but do
-            not perform mutations. The default is false.
-    """
-
-    update_mask: field_mask_pb2.FieldMask = proto.Field(
-        proto.MESSAGE,
-        number=1,
-        message=field_mask_pb2.FieldMask,
-    )
-    content: analyze.Content = proto.Field(
-        proto.MESSAGE,
-        number=2,
-        message=analyze.Content,
-    )
-    validate_only: bool = proto.Field(
-        proto.BOOL,
-        number=3,
-    )
-
-
-class DeleteContentRequest(proto.Message):
-    r"""Delete content request.
-
-    Attributes:
-        name (str):
-            Required. The resource name of the content:
-            projects/{project_id}/locations/{location_id}/lakes/{lake_id}/content/{content_id}
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-
-
-class ListContentRequest(proto.Message):
-    r"""List content request. Returns the BASIC Content view.
-
-    Attributes:
-        parent (str):
-            Required. The resource name of the parent lake:
-            projects/{project_id}/locations/{location_id}/lakes/{lake_id}
-        page_size (int):
-            Optional. Maximum number of content to
-            return. The service may return fewer than this
-            value. If unspecified, at most 10 content will
-            be returned. The maximum value is 1000; values
-            above 1000 will be coerced to 1000.
-        page_token (str):
-            Optional. Page token received from a previous
-            ``ListContent`` call. Provide this to retrieve the
-            subsequent page. When paginating, all other parameters
-            provided to ``ListContent`` must match the call that
-            provided the page token.
-        filter (str):
-            Optional. Filter request. Filters are case-sensitive. The
-            following formats are supported:
-
-            labels.key1 = "value1" labels:key1 type = "NOTEBOOK" type =
-            "SQL_SCRIPT"
-
-            These restrictions can be coinjoined with AND, OR and NOT
-            conjunctions.
-    """
-
-    parent: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    page_size: int = proto.Field(
-        proto.INT32,
-        number=2,
-    )
-    page_token: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-    filter: str = proto.Field(
-        proto.STRING,
-        number=4,
-    )
-
-
-class ListContentResponse(proto.Message):
-    r"""List content response.
-
-    Attributes:
-        content (MutableSequence[google.cloud.dataplex_v1.types.Content]):
-            Content under the given parent lake.
-        next_page_token (str):
-            Token to retrieve the next page of results,
-            or empty if there are no more results in the
-            list.
-    """
-
-    @property
-    def raw_page(self):
-        return self
-
-    content: MutableSequence[analyze.Content] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=1,
-        message=analyze.Content,
-    )
-    next_page_token: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-
-
-class GetContentRequest(proto.Message):
-    r"""Get content request.
-
-    Attributes:
-        name (str):
-            Required. The resource name of the content:
-            projects/{project_id}/locations/{location_id}/lakes/{lake_id}/content/{content_id}
-        view (google.cloud.dataplex_v1.types.GetContentRequest.ContentView):
-            Optional. Specify content view to make a
-            partial request.
-    """
-    class ContentView(proto.Enum):
-        r"""Specifies whether the request should return the full or the
-        partial representation.
-
-        Values:
-            CONTENT_VIEW_UNSPECIFIED (0):
-                Content view not specified. Defaults to
-                BASIC. The API will default to the BASIC view.
-            BASIC (1):
-                Will not return the ``data_text`` field.
-            FULL (2):
-                Returns the complete proto.
-        """
-        CONTENT_VIEW_UNSPECIFIED = 0
-        BASIC = 1
-        FULL = 2
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    view: ContentView = proto.Field(
-        proto.ENUM,
-        number=2,
-        enum=ContentView,
-    )
-
-
-__all__ = tuple(sorted(__protobuf__.manifest))
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/data_profile.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/data_profile.py
deleted file mode 100644
index 1e5f3aad0d9f..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/data_profile.py
+++ /dev/null
@@ -1,540 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from __future__ import annotations
-
-from typing import MutableMapping, MutableSequence
-
-import proto  # type: ignore
-
-from google.cloud.dataplex_v1.types import processing
-
-
-__protobuf__ = proto.module(
-    package='google.cloud.dataplex.v1',
-    manifest={
-        'DataProfileSpec',
-        'DataProfileResult',
-    },
-)
-
-
-class DataProfileSpec(proto.Message):
-    r"""DataProfileScan related setting.
-
-    Attributes:
-        sampling_percent (float):
-            Optional. The percentage of the records to be selected from
-            the dataset for DataScan.
-
-            -  Value can range between 0.0 and 100.0 with up to 3
-               significant decimal digits.
-            -  Sampling is not applied if ``sampling_percent`` is not
-               specified, 0 or
-
-            100.
-        row_filter (str):
-            Optional. A filter applied to all rows in a
-            single DataScan job. The filter needs to be a
-            valid SQL expression for a WHERE clause in
-            BigQuery standard SQL syntax.
-            Example: col1 >= 0 AND col2 < 10
-        post_scan_actions (google.cloud.dataplex_v1.types.DataProfileSpec.PostScanActions):
-            Optional. Actions to take upon job
-            completion..
-        include_fields (google.cloud.dataplex_v1.types.DataProfileSpec.SelectedFields):
-            Optional. The fields to include in data profile.
-
-            If not specified, all fields at the time of profile scan job
-            execution are included, except for ones listed in
-            ``exclude_fields``.
-        exclude_fields (google.cloud.dataplex_v1.types.DataProfileSpec.SelectedFields):
-            Optional. The fields to exclude from data profile.
-
-            If specified, the fields will be excluded from data profile,
-            regardless of ``include_fields`` value.
-    """
-
-    class PostScanActions(proto.Message):
-        r"""The configuration of post scan actions of DataProfileScan
-        job.
-
-        Attributes:
-            bigquery_export (google.cloud.dataplex_v1.types.DataProfileSpec.PostScanActions.BigQueryExport):
-                Optional. If set, results will be exported to
-                the provided BigQuery table.
-        """
-
-        class BigQueryExport(proto.Message):
-            r"""The configuration of BigQuery export post scan action.
-
-            Attributes:
-                results_table (str):
-                    Optional. The BigQuery table to export DataProfileScan
-                    results to. Format:
-                    //bigquery.googleapis.com/projects/PROJECT_ID/datasets/DATASET_ID/tables/TABLE_ID
-            """
-
-            results_table: str = proto.Field(
-                proto.STRING,
-                number=1,
-            )
-
-        bigquery_export: 'DataProfileSpec.PostScanActions.BigQueryExport' = proto.Field(
-            proto.MESSAGE,
-            number=1,
-            message='DataProfileSpec.PostScanActions.BigQueryExport',
-        )
-
-    class SelectedFields(proto.Message):
-        r"""The specification for fields to include or exclude in data
-        profile scan.
-
-        Attributes:
-            field_names (MutableSequence[str]):
-                Optional. Expected input is a list of fully
-                qualified names of fields as in the schema.
-
-                Only top-level field names for nested fields are
-                supported. For instance, if 'x' is of nested
-                field type, listing 'x' is supported but 'x.y.z'
-                is not supported. Here 'y' and 'y.z' are nested
-                fields of 'x'.
-        """
-
-        field_names: MutableSequence[str] = proto.RepeatedField(
-            proto.STRING,
-            number=1,
-        )
-
-    sampling_percent: float = proto.Field(
-        proto.FLOAT,
-        number=2,
-    )
-    row_filter: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-    post_scan_actions: PostScanActions = proto.Field(
-        proto.MESSAGE,
-        number=4,
-        message=PostScanActions,
-    )
-    include_fields: SelectedFields = proto.Field(
-        proto.MESSAGE,
-        number=5,
-        message=SelectedFields,
-    )
-    exclude_fields: SelectedFields = proto.Field(
-        proto.MESSAGE,
-        number=6,
-        message=SelectedFields,
-    )
-
-
-class DataProfileResult(proto.Message):
-    r"""DataProfileResult defines the output of DataProfileScan. Each
-    field of the table will have field type specific profile result.
-
-    Attributes:
-        row_count (int):
-            The count of rows scanned.
-        profile (google.cloud.dataplex_v1.types.DataProfileResult.Profile):
-            The profile information per field.
-        scanned_data (google.cloud.dataplex_v1.types.ScannedData):
-            The data scanned for this result.
-        post_scan_actions_result (google.cloud.dataplex_v1.types.DataProfileResult.PostScanActionsResult):
-            Output only. The result of post scan actions.
-    """
-
-    class Profile(proto.Message):
-        r"""Contains name, type, mode and field type specific profile
-        information.
-
-        Attributes:
-            fields (MutableSequence[google.cloud.dataplex_v1.types.DataProfileResult.Profile.Field]):
-                List of fields with structural and profile
-                information for each field.
-        """
-
-        class Field(proto.Message):
-            r"""A field within a table.
-
-            Attributes:
-                name (str):
-                    The name of the field.
-                type_ (str):
-                    The data type retrieved from the schema of the data source.
-                    For instance, for a BigQuery native table, it is the
-                    `BigQuery Table
-                    Schema <https://cloud.google.com/bigquery/docs/reference/rest/v2/tables#tablefieldschema>`__.
-                    For a Dataplex Entity, it is the `Entity
-                    Schema <https://cloud.google.com/dataplex/docs/reference/rpc/google.cloud.dataplex.v1#type_3>`__.
-                mode (str):
-                    The mode of the field. Possible values include:
-
-                    -  REQUIRED, if it is a required field.
-                    -  NULLABLE, if it is an optional field.
-                    -  REPEATED, if it is a repeated field.
-                profile (google.cloud.dataplex_v1.types.DataProfileResult.Profile.Field.ProfileInfo):
-                    Profile information for the corresponding
-                    field.
-            """
-
-            class ProfileInfo(proto.Message):
-                r"""The profile information for each field type.
-
-                This message has `oneof`_ fields (mutually exclusive fields).
-                For each oneof, at most one member field can be set at the same time.
-                Setting any member of the oneof automatically clears all other
-                members.
-
-                .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
-
-                Attributes:
-                    null_ratio (float):
-                        Ratio of rows with null value against total
-                        scanned rows.
-                    distinct_ratio (float):
-                        Ratio of rows with distinct values against
-                        total scanned rows. Not available for complex
-                        non-groupable field type, including RECORD,
-                        ARRAY, GEOGRAPHY, and JSON, as well as fields
-                        with REPEATABLE mode.
-                    top_n_values (MutableSequence[google.cloud.dataplex_v1.types.DataProfileResult.Profile.Field.ProfileInfo.TopNValue]):
-                        The list of top N non-null values, frequency
-                        and ratio with which they occur in the scanned
-                        data. N is 10 or equal to the number of distinct
-                        values in the field, whichever is smaller. Not
-                        available for complex non-groupable field type,
-                        including RECORD, ARRAY, GEOGRAPHY, and JSON, as
-                        well as fields with REPEATABLE mode.
-                    string_profile (google.cloud.dataplex_v1.types.DataProfileResult.Profile.Field.ProfileInfo.StringFieldInfo):
-                        String type field information.
-
-                        This field is a member of `oneof`_ ``field_info``.
-                    integer_profile (google.cloud.dataplex_v1.types.DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo):
-                        Integer type field information.
-
-                        This field is a member of `oneof`_ ``field_info``.
-                    double_profile (google.cloud.dataplex_v1.types.DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo):
-                        Double type field information.
-
-                        This field is a member of `oneof`_ ``field_info``.
-                """
-
-                class StringFieldInfo(proto.Message):
-                    r"""The profile information for a string type field.
-
-                    Attributes:
-                        min_length (int):
-                            Minimum length of non-null values in the
-                            scanned data.
-                        max_length (int):
-                            Maximum length of non-null values in the
-                            scanned data.
-                        average_length (float):
-                            Average length of non-null values in the
-                            scanned data.
-                    """
-
-                    min_length: int = proto.Field(
-                        proto.INT64,
-                        number=1,
-                    )
-                    max_length: int = proto.Field(
-                        proto.INT64,
-                        number=2,
-                    )
-                    average_length: float = proto.Field(
-                        proto.DOUBLE,
-                        number=3,
-                    )
-
-                class IntegerFieldInfo(proto.Message):
-                    r"""The profile information for an integer type field.
-
-                    Attributes:
-                        average (float):
-                            Average of non-null values in the scanned
-                            data. NaN, if the field has a NaN.
-                        standard_deviation (float):
-                            Standard deviation of non-null values in the
-                            scanned data. NaN, if the field has a NaN.
-                        min_ (int):
-                            Minimum of non-null values in the scanned
-                            data. NaN, if the field has a NaN.
-                        quartiles (MutableSequence[int]):
-                            A quartile divides the number of data points
-                            into four parts, or quarters, of more-or-less
-                            equal size. Three main quartiles used are: The
-                            first quartile (Q1) splits off the lowest 25% of
-                            data from the highest 75%. It is also known as
-                            the lower or 25th empirical quartile, as 25% of
-                            the data is below this point. The second
-                            quartile (Q2) is the median of a data set. So,
-                            50% of the data lies below this point. The third
-                            quartile (Q3) splits off the highest 25% of data
-                            from the lowest 75%. It is known as the upper or
-                            75th empirical quartile, as 75% of the data lies
-                            below this point. Here, the quartiles is
-                            provided as an ordered list of approximate
-                            quartile values for the scanned data, occurring
-                            in order Q1, median, Q3.
-                        max_ (int):
-                            Maximum of non-null values in the scanned
-                            data. NaN, if the field has a NaN.
-                    """
-
-                    average: float = proto.Field(
-                        proto.DOUBLE,
-                        number=1,
-                    )
-                    standard_deviation: float = proto.Field(
-                        proto.DOUBLE,
-                        number=3,
-                    )
-                    min_: int = proto.Field(
-                        proto.INT64,
-                        number=4,
-                    )
-                    quartiles: MutableSequence[int] = proto.RepeatedField(
-                        proto.INT64,
-                        number=6,
-                    )
-                    max_: int = proto.Field(
-                        proto.INT64,
-                        number=5,
-                    )
-
-                class DoubleFieldInfo(proto.Message):
-                    r"""The profile information for a double type field.
-
-                    Attributes:
-                        average (float):
-                            Average of non-null values in the scanned
-                            data. NaN, if the field has a NaN.
-                        standard_deviation (float):
-                            Standard deviation of non-null values in the
-                            scanned data. NaN, if the field has a NaN.
-                        min_ (float):
-                            Minimum of non-null values in the scanned
-                            data. NaN, if the field has a NaN.
-                        quartiles (MutableSequence[float]):
-                            A quartile divides the number of data points
-                            into four parts, or quarters, of more-or-less
-                            equal size. Three main quartiles used are: The
-                            first quartile (Q1) splits off the lowest 25% of
-                            data from the highest 75%. It is also known as
-                            the lower or 25th empirical quartile, as 25% of
-                            the data is below this point. The second
-                            quartile (Q2) is the median of a data set. So,
-                            50% of the data lies below this point. The third
-                            quartile (Q3) splits off the highest 25% of data
-                            from the lowest 75%. It is known as the upper or
-                            75th empirical quartile, as 75% of the data lies
-                            below this point. Here, the quartiles is
-                            provided as an ordered list of quartile values
-                            for the scanned data, occurring in order Q1,
-                            median, Q3.
-                        max_ (float):
-                            Maximum of non-null values in the scanned
-                            data. NaN, if the field has a NaN.
-                    """
-
-                    average: float = proto.Field(
-                        proto.DOUBLE,
-                        number=1,
-                    )
-                    standard_deviation: float = proto.Field(
-                        proto.DOUBLE,
-                        number=3,
-                    )
-                    min_: float = proto.Field(
-                        proto.DOUBLE,
-                        number=4,
-                    )
-                    quartiles: MutableSequence[float] = proto.RepeatedField(
-                        proto.DOUBLE,
-                        number=6,
-                    )
-                    max_: float = proto.Field(
-                        proto.DOUBLE,
-                        number=5,
-                    )
-
-                class TopNValue(proto.Message):
-                    r"""Top N non-null values in the scanned data.
-
-                    Attributes:
-                        value (str):
-                            String value of a top N non-null value.
-                        count (int):
-                            Count of the corresponding value in the
-                            scanned data.
-                        ratio (float):
-                            Ratio of the corresponding value in the field
-                            against the total number of rows in the scanned
-                            data.
-                    """
-
-                    value: str = proto.Field(
-                        proto.STRING,
-                        number=1,
-                    )
-                    count: int = proto.Field(
-                        proto.INT64,
-                        number=2,
-                    )
-                    ratio: float = proto.Field(
-                        proto.DOUBLE,
-                        number=3,
-                    )
-
-                null_ratio: float = proto.Field(
-                    proto.DOUBLE,
-                    number=2,
-                )
-                distinct_ratio: float = proto.Field(
-                    proto.DOUBLE,
-                    number=3,
-                )
-                top_n_values: MutableSequence['DataProfileResult.Profile.Field.ProfileInfo.TopNValue'] = proto.RepeatedField(
-                    proto.MESSAGE,
-                    number=4,
-                    message='DataProfileResult.Profile.Field.ProfileInfo.TopNValue',
-                )
-                string_profile: 'DataProfileResult.Profile.Field.ProfileInfo.StringFieldInfo' = proto.Field(
-                    proto.MESSAGE,
-                    number=101,
-                    oneof='field_info',
-                    message='DataProfileResult.Profile.Field.ProfileInfo.StringFieldInfo',
-                )
-                integer_profile: 'DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo' = proto.Field(
-                    proto.MESSAGE,
-                    number=102,
-                    oneof='field_info',
-                    message='DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo',
-                )
-                double_profile: 'DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo' = proto.Field(
-                    proto.MESSAGE,
-                    number=103,
-                    oneof='field_info',
-                    message='DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo',
-                )
-
-            name: str = proto.Field(
-                proto.STRING,
-                number=1,
-            )
-            type_: str = proto.Field(
-                proto.STRING,
-                number=2,
-            )
-            mode: str = proto.Field(
-                proto.STRING,
-                number=3,
-            )
-            profile: 'DataProfileResult.Profile.Field.ProfileInfo' = proto.Field(
-                proto.MESSAGE,
-                number=4,
-                message='DataProfileResult.Profile.Field.ProfileInfo',
-            )
-
-        fields: MutableSequence['DataProfileResult.Profile.Field'] = proto.RepeatedField(
-            proto.MESSAGE,
-            number=2,
-            message='DataProfileResult.Profile.Field',
-        )
-
-    class PostScanActionsResult(proto.Message):
-        r"""The result of post scan actions of DataProfileScan job.
-
-        Attributes:
-            bigquery_export_result (google.cloud.dataplex_v1.types.DataProfileResult.PostScanActionsResult.BigQueryExportResult):
-                Output only. The result of BigQuery export
-                post scan action.
-        """
-
-        class BigQueryExportResult(proto.Message):
-            r"""The result of BigQuery export post scan action.
-
-            Attributes:
-                state (google.cloud.dataplex_v1.types.DataProfileResult.PostScanActionsResult.BigQueryExportResult.State):
-                    Output only. Execution state for the BigQuery
-                    exporting.
-                message (str):
-                    Output only. Additional information about the
-                    BigQuery exporting.
-            """
-            class State(proto.Enum):
-                r"""Execution state for the exporting.
-
-                Values:
-                    STATE_UNSPECIFIED (0):
-                        The exporting state is unspecified.
-                    SUCCEEDED (1):
-                        The exporting completed successfully.
-                    FAILED (2):
-                        The exporting is no longer running due to an
-                        error.
-                    SKIPPED (3):
-                        The exporting is skipped due to no valid scan
-                        result to export (usually caused by scan
-                        failed).
-                """
-                STATE_UNSPECIFIED = 0
-                SUCCEEDED = 1
-                FAILED = 2
-                SKIPPED = 3
-
-            state: 'DataProfileResult.PostScanActionsResult.BigQueryExportResult.State' = proto.Field(
-                proto.ENUM,
-                number=1,
-                enum='DataProfileResult.PostScanActionsResult.BigQueryExportResult.State',
-            )
-            message: str = proto.Field(
-                proto.STRING,
-                number=2,
-            )
-
-        bigquery_export_result: 'DataProfileResult.PostScanActionsResult.BigQueryExportResult' = proto.Field(
-            proto.MESSAGE,
-            number=1,
-            message='DataProfileResult.PostScanActionsResult.BigQueryExportResult',
-        )
-
-    row_count: int = proto.Field(
-        proto.INT64,
-        number=3,
-    )
-    profile: Profile = proto.Field(
-        proto.MESSAGE,
-        number=4,
-        message=Profile,
-    )
-    scanned_data: processing.ScannedData = proto.Field(
-        proto.MESSAGE,
-        number=5,
-        message=processing.ScannedData,
-    )
-    post_scan_actions_result: PostScanActionsResult = proto.Field(
-        proto.MESSAGE,
-        number=6,
-        message=PostScanActionsResult,
-    )
-
-
-__all__ = tuple(sorted(__protobuf__.manifest))
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/data_quality.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/data_quality.py
deleted file mode 100644
index 4f5adfd361ad..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/data_quality.py
+++ /dev/null
@@ -1,912 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from __future__ import annotations
-
-from typing import MutableMapping, MutableSequence
-
-import proto  # type: ignore
-
-from google.cloud.dataplex_v1.types import processing
-
-
-__protobuf__ = proto.module(
-    package='google.cloud.dataplex.v1',
-    manifest={
-        'DataQualitySpec',
-        'DataQualityResult',
-        'DataQualityRuleResult',
-        'DataQualityDimensionResult',
-        'DataQualityDimension',
-        'DataQualityRule',
-        'DataQualityColumnResult',
-    },
-)
-
-
-class DataQualitySpec(proto.Message):
-    r"""DataQualityScan related setting.
-
-    Attributes:
-        rules (MutableSequence[google.cloud.dataplex_v1.types.DataQualityRule]):
-            Required. The list of rules to evaluate
-            against a data source. At least one rule is
-            required.
-        sampling_percent (float):
-            Optional. The percentage of the records to be selected from
-            the dataset for DataScan.
-
-            -  Value can range between 0.0 and 100.0 with up to 3
-               significant decimal digits.
-            -  Sampling is not applied if ``sampling_percent`` is not
-               specified, 0 or
-
-            100.
-        row_filter (str):
-            Optional. A filter applied to all rows in a
-            single DataScan job. The filter needs to be a
-            valid SQL expression for a WHERE clause in
-            BigQuery standard SQL syntax.
-            Example: col1 >= 0 AND col2 < 10
-        post_scan_actions (google.cloud.dataplex_v1.types.DataQualitySpec.PostScanActions):
-            Optional. Actions to take upon job
-            completion.
-    """
-
-    class PostScanActions(proto.Message):
-        r"""The configuration of post scan actions of DataQualityScan.
-
-        Attributes:
-            bigquery_export (google.cloud.dataplex_v1.types.DataQualitySpec.PostScanActions.BigQueryExport):
-                Optional. If set, results will be exported to
-                the provided BigQuery table.
-            notification_report (google.cloud.dataplex_v1.types.DataQualitySpec.PostScanActions.NotificationReport):
-                Optional. If set, results will be sent to the
-                provided notification receipts upon triggers.
-        """
-
-        class BigQueryExport(proto.Message):
-            r"""The configuration of BigQuery export post scan action.
-
-            Attributes:
-                results_table (str):
-                    Optional. The BigQuery table to export DataQualityScan
-                    results to. Format:
-                    //bigquery.googleapis.com/projects/PROJECT_ID/datasets/DATASET_ID/tables/TABLE_ID
-            """
-
-            results_table: str = proto.Field(
-                proto.STRING,
-                number=1,
-            )
-
-        class Recipients(proto.Message):
-            r"""The individuals or groups who are designated to receive
-            notifications upon triggers.
-
-            Attributes:
-                emails (MutableSequence[str]):
-                    Optional. The email recipients who will
-                    receive the DataQualityScan results report.
-            """
-
-            emails: MutableSequence[str] = proto.RepeatedField(
-                proto.STRING,
-                number=1,
-            )
-
-        class ScoreThresholdTrigger(proto.Message):
-            r"""This trigger is triggered when the DQ score in the job result
-            is less than a specified input score.
-
-            Attributes:
-                score_threshold (float):
-                    Optional. The score range is in [0,100].
-            """
-
-            score_threshold: float = proto.Field(
-                proto.FLOAT,
-                number=2,
-            )
-
-        class JobFailureTrigger(proto.Message):
-            r"""This trigger is triggered when the scan job itself fails,
-            regardless of the result.
-
-            """
-
-        class JobEndTrigger(proto.Message):
-            r"""This trigger is triggered whenever a scan job run ends,
-            regardless of the result.
-
-            """
-
-        class NotificationReport(proto.Message):
-            r"""The configuration of notification report post scan action.
-
-            Attributes:
-                recipients (google.cloud.dataplex_v1.types.DataQualitySpec.PostScanActions.Recipients):
-                    Required. The recipients who will receive the
-                    notification report.
-                score_threshold_trigger (google.cloud.dataplex_v1.types.DataQualitySpec.PostScanActions.ScoreThresholdTrigger):
-                    Optional. If set, report will be sent when
-                    score threshold is met.
-                job_failure_trigger (google.cloud.dataplex_v1.types.DataQualitySpec.PostScanActions.JobFailureTrigger):
-                    Optional. If set, report will be sent when a
-                    scan job fails.
-                job_end_trigger (google.cloud.dataplex_v1.types.DataQualitySpec.PostScanActions.JobEndTrigger):
-                    Optional. If set, report will be sent when a
-                    scan job ends.
-            """
-
-            recipients: 'DataQualitySpec.PostScanActions.Recipients' = proto.Field(
-                proto.MESSAGE,
-                number=1,
-                message='DataQualitySpec.PostScanActions.Recipients',
-            )
-            score_threshold_trigger: 'DataQualitySpec.PostScanActions.ScoreThresholdTrigger' = proto.Field(
-                proto.MESSAGE,
-                number=2,
-                message='DataQualitySpec.PostScanActions.ScoreThresholdTrigger',
-            )
-            job_failure_trigger: 'DataQualitySpec.PostScanActions.JobFailureTrigger' = proto.Field(
-                proto.MESSAGE,
-                number=4,
-                message='DataQualitySpec.PostScanActions.JobFailureTrigger',
-            )
-            job_end_trigger: 'DataQualitySpec.PostScanActions.JobEndTrigger' = proto.Field(
-                proto.MESSAGE,
-                number=5,
-                message='DataQualitySpec.PostScanActions.JobEndTrigger',
-            )
-
-        bigquery_export: 'DataQualitySpec.PostScanActions.BigQueryExport' = proto.Field(
-            proto.MESSAGE,
-            number=1,
-            message='DataQualitySpec.PostScanActions.BigQueryExport',
-        )
-        notification_report: 'DataQualitySpec.PostScanActions.NotificationReport' = proto.Field(
-            proto.MESSAGE,
-            number=2,
-            message='DataQualitySpec.PostScanActions.NotificationReport',
-        )
-
-    rules: MutableSequence['DataQualityRule'] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=1,
-        message='DataQualityRule',
-    )
-    sampling_percent: float = proto.Field(
-        proto.FLOAT,
-        number=4,
-    )
-    row_filter: str = proto.Field(
-        proto.STRING,
-        number=5,
-    )
-    post_scan_actions: PostScanActions = proto.Field(
-        proto.MESSAGE,
-        number=6,
-        message=PostScanActions,
-    )
-
-
-class DataQualityResult(proto.Message):
-    r"""The output of a DataQualityScan.
-
-    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
-
-    Attributes:
-        passed (bool):
-            Overall data quality result -- ``true`` if all rules passed.
-        score (float):
-            Output only. The overall data quality score.
-
-            The score ranges between [0, 100] (up to two decimal
-            points).
-
-            This field is a member of `oneof`_ ``_score``.
-        dimensions (MutableSequence[google.cloud.dataplex_v1.types.DataQualityDimensionResult]):
-            A list of results at the dimension level.
-
-            A dimension will have a corresponding
-            ``DataQualityDimensionResult`` if and only if there is at
-            least one rule with the 'dimension' field set to it.
-        columns (MutableSequence[google.cloud.dataplex_v1.types.DataQualityColumnResult]):
-            Output only. A list of results at the column level.
-
-            A column will have a corresponding
-            ``DataQualityColumnResult`` if and only if there is at least
-            one rule with the 'column' field set to it.
-        rules (MutableSequence[google.cloud.dataplex_v1.types.DataQualityRuleResult]):
-            A list of all the rules in a job, and their
-            results.
-        row_count (int):
-            The count of rows processed.
-        scanned_data (google.cloud.dataplex_v1.types.ScannedData):
-            The data scanned for this result.
-        post_scan_actions_result (google.cloud.dataplex_v1.types.DataQualityResult.PostScanActionsResult):
-            Output only. The result of post scan actions.
-    """
-
-    class PostScanActionsResult(proto.Message):
-        r"""The result of post scan actions of DataQualityScan job.
-
-        Attributes:
-            bigquery_export_result (google.cloud.dataplex_v1.types.DataQualityResult.PostScanActionsResult.BigQueryExportResult):
-                Output only. The result of BigQuery export
-                post scan action.
-        """
-
-        class BigQueryExportResult(proto.Message):
-            r"""The result of BigQuery export post scan action.
-
-            Attributes:
-                state (google.cloud.dataplex_v1.types.DataQualityResult.PostScanActionsResult.BigQueryExportResult.State):
-                    Output only. Execution state for the BigQuery
-                    exporting.
-                message (str):
-                    Output only. Additional information about the
-                    BigQuery exporting.
-            """
-            class State(proto.Enum):
-                r"""Execution state for the exporting.
-
-                Values:
-                    STATE_UNSPECIFIED (0):
-                        The exporting state is unspecified.
-                    SUCCEEDED (1):
-                        The exporting completed successfully.
-                    FAILED (2):
-                        The exporting is no longer running due to an
-                        error.
-                    SKIPPED (3):
-                        The exporting is skipped due to no valid scan
-                        result to export (usually caused by scan
-                        failed).
-                """
-                STATE_UNSPECIFIED = 0
-                SUCCEEDED = 1
-                FAILED = 2
-                SKIPPED = 3
-
-            state: 'DataQualityResult.PostScanActionsResult.BigQueryExportResult.State' = proto.Field(
-                proto.ENUM,
-                number=1,
-                enum='DataQualityResult.PostScanActionsResult.BigQueryExportResult.State',
-            )
-            message: str = proto.Field(
-                proto.STRING,
-                number=2,
-            )
-
-        bigquery_export_result: 'DataQualityResult.PostScanActionsResult.BigQueryExportResult' = proto.Field(
-            proto.MESSAGE,
-            number=1,
-            message='DataQualityResult.PostScanActionsResult.BigQueryExportResult',
-        )
-
-    passed: bool = proto.Field(
-        proto.BOOL,
-        number=5,
-    )
-    score: float = proto.Field(
-        proto.FLOAT,
-        number=9,
-        optional=True,
-    )
-    dimensions: MutableSequence['DataQualityDimensionResult'] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=2,
-        message='DataQualityDimensionResult',
-    )
-    columns: MutableSequence['DataQualityColumnResult'] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=10,
-        message='DataQualityColumnResult',
-    )
-    rules: MutableSequence['DataQualityRuleResult'] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=3,
-        message='DataQualityRuleResult',
-    )
-    row_count: int = proto.Field(
-        proto.INT64,
-        number=4,
-    )
-    scanned_data: processing.ScannedData = proto.Field(
-        proto.MESSAGE,
-        number=7,
-        message=processing.ScannedData,
-    )
-    post_scan_actions_result: PostScanActionsResult = proto.Field(
-        proto.MESSAGE,
-        number=8,
-        message=PostScanActionsResult,
-    )
-
-
-class DataQualityRuleResult(proto.Message):
-    r"""DataQualityRuleResult provides a more detailed, per-rule view
-    of the results.
-
-    Attributes:
-        rule (google.cloud.dataplex_v1.types.DataQualityRule):
-            The rule specified in the DataQualitySpec, as
-            is.
-        passed (bool):
-            Whether the rule passed or failed.
-        evaluated_count (int):
-            The number of rows a rule was evaluated against.
-
-            This field is only valid for row-level type rules.
-
-            Evaluated count can be configured to either
-
-            -  include all rows (default) - with ``null`` rows
-               automatically failing rule evaluation, or
-            -  exclude ``null`` rows from the ``evaluated_count``, by
-               setting ``ignore_nulls = true``.
-        passed_count (int):
-            The number of rows which passed a rule
-            evaluation.
-            This field is only valid for row-level type
-            rules.
-        null_count (int):
-            The number of rows with null values in the
-            specified column.
-        pass_ratio (float):
-            The ratio of **passed_count / evaluated_count**.
-
-            This field is only valid for row-level type rules.
-        failing_rows_query (str):
-            The query to find rows that did not pass this
-            rule.
-            This field is only valid for row-level type
-            rules.
-        assertion_row_count (int):
-            Output only. The number of rows returned by
-            the SQL statement in a SQL assertion rule.
-
-            This field is only valid for SQL assertion
-            rules.
-    """
-
-    rule: 'DataQualityRule' = proto.Field(
-        proto.MESSAGE,
-        number=1,
-        message='DataQualityRule',
-    )
-    passed: bool = proto.Field(
-        proto.BOOL,
-        number=7,
-    )
-    evaluated_count: int = proto.Field(
-        proto.INT64,
-        number=9,
-    )
-    passed_count: int = proto.Field(
-        proto.INT64,
-        number=8,
-    )
-    null_count: int = proto.Field(
-        proto.INT64,
-        number=5,
-    )
-    pass_ratio: float = proto.Field(
-        proto.DOUBLE,
-        number=6,
-    )
-    failing_rows_query: str = proto.Field(
-        proto.STRING,
-        number=10,
-    )
-    assertion_row_count: int = proto.Field(
-        proto.INT64,
-        number=11,
-    )
-
-
-class DataQualityDimensionResult(proto.Message):
-    r"""DataQualityDimensionResult provides a more detailed,
-    per-dimension view of the results.
-
-
-    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
-
-    Attributes:
-        dimension (google.cloud.dataplex_v1.types.DataQualityDimension):
-            Output only. The dimension config specified
-            in the DataQualitySpec, as is.
-        passed (bool):
-            Whether the dimension passed or failed.
-        score (float):
-            Output only. The dimension-level data quality score for this
-            data scan job if and only if the 'dimension' field is set.
-
-            The score ranges between [0, 100] (up to two decimal
-            points).
-
-            This field is a member of `oneof`_ ``_score``.
-    """
-
-    dimension: 'DataQualityDimension' = proto.Field(
-        proto.MESSAGE,
-        number=1,
-        message='DataQualityDimension',
-    )
-    passed: bool = proto.Field(
-        proto.BOOL,
-        number=3,
-    )
-    score: float = proto.Field(
-        proto.FLOAT,
-        number=4,
-        optional=True,
-    )
-
-
-class DataQualityDimension(proto.Message):
-    r"""A dimension captures data quality intent about a defined
-    subset of the rules specified.
-
-    Attributes:
-        name (str):
-            The dimension name a rule belongs to. Supported dimensions
-            are ["COMPLETENESS", "ACCURACY", "CONSISTENCY", "VALIDITY",
-            "UNIQUENESS", "FRESHNESS", "VOLUME"]
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-
-
-class DataQualityRule(proto.Message):
-    r"""A rule captures data quality intent about a data source.
-
-    This message has `oneof`_ fields (mutually exclusive fields).
-    For each oneof, at most one member field can be set at the same time.
-    Setting any member of the oneof automatically clears all other
-    members.
-
-    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
-
-    Attributes:
-        range_expectation (google.cloud.dataplex_v1.types.DataQualityRule.RangeExpectation):
-            Row-level rule which evaluates whether each
-            column value lies between a specified range.
-
-            This field is a member of `oneof`_ ``rule_type``.
-        non_null_expectation (google.cloud.dataplex_v1.types.DataQualityRule.NonNullExpectation):
-            Row-level rule which evaluates whether each
-            column value is null.
-
-            This field is a member of `oneof`_ ``rule_type``.
-        set_expectation (google.cloud.dataplex_v1.types.DataQualityRule.SetExpectation):
-            Row-level rule which evaluates whether each
-            column value is contained by a specified set.
-
-            This field is a member of `oneof`_ ``rule_type``.
-        regex_expectation (google.cloud.dataplex_v1.types.DataQualityRule.RegexExpectation):
-            Row-level rule which evaluates whether each
-            column value matches a specified regex.
-
-            This field is a member of `oneof`_ ``rule_type``.
-        uniqueness_expectation (google.cloud.dataplex_v1.types.DataQualityRule.UniquenessExpectation):
-            Row-level rule which evaluates whether each
-            column value is unique.
-
-            This field is a member of `oneof`_ ``rule_type``.
-        statistic_range_expectation (google.cloud.dataplex_v1.types.DataQualityRule.StatisticRangeExpectation):
-            Aggregate rule which evaluates whether the
-            column aggregate statistic lies between a
-            specified range.
-
-            This field is a member of `oneof`_ ``rule_type``.
-        row_condition_expectation (google.cloud.dataplex_v1.types.DataQualityRule.RowConditionExpectation):
-            Row-level rule which evaluates whether each
-            row in a table passes the specified condition.
-
-            This field is a member of `oneof`_ ``rule_type``.
-        table_condition_expectation (google.cloud.dataplex_v1.types.DataQualityRule.TableConditionExpectation):
-            Aggregate rule which evaluates whether the
-            provided expression is true for a table.
-
-            This field is a member of `oneof`_ ``rule_type``.
-        sql_assertion (google.cloud.dataplex_v1.types.DataQualityRule.SqlAssertion):
-            Aggregate rule which evaluates the number of
-            rows returned for the provided statement. If any
-            rows are returned, this rule fails.
-
-            This field is a member of `oneof`_ ``rule_type``.
-        column (str):
-            Optional. The unnested column which this rule
-            is evaluated against.
-        ignore_null (bool):
-            Optional. Rows with ``null`` values will automatically fail
-            a rule, unless ``ignore_null`` is ``true``. In that case,
-            such ``null`` rows are trivially considered passing.
-
-            This field is only valid for the following type of rules:
-
-            -  RangeExpectation
-            -  RegexExpectation
-            -  SetExpectation
-            -  UniquenessExpectation
-        dimension (str):
-            Required. The dimension a rule belongs to. Results are also
-            aggregated at the dimension level. Supported dimensions are
-            **["COMPLETENESS", "ACCURACY", "CONSISTENCY", "VALIDITY",
-            "UNIQUENESS", "FRESHNESS", "VOLUME"]**
-        threshold (float):
-            Optional. The minimum ratio of **passing_rows / total_rows**
-            required to pass this rule, with a range of [0.0, 1.0].
-
-            0 indicates default value (i.e. 1.0).
-
-            This field is only valid for row-level type rules.
-        name (str):
-            Optional. A mutable name for the rule.
-
-            -  The name must contain only letters (a-z, A-Z), numbers
-               (0-9), or hyphens (-).
-            -  The maximum length is 63 characters.
-            -  Must start with a letter.
-            -  Must end with a number or a letter.
-        description (str):
-            Optional. Description of the rule.
-
-            -  The maximum length is 1,024 characters.
-        suspended (bool):
-            Optional. Whether the Rule is active or
-            suspended. Default is false.
-    """
-
-    class RangeExpectation(proto.Message):
-        r"""Evaluates whether each column value lies between a specified
-        range.
-
-        Attributes:
-            min_value (str):
-                Optional. The minimum column value allowed for a row to pass
-                this validation. At least one of ``min_value`` and
-                ``max_value`` need to be provided.
-            max_value (str):
-                Optional. The maximum column value allowed for a row to pass
-                this validation. At least one of ``min_value`` and
-                ``max_value`` need to be provided.
-            strict_min_enabled (bool):
-                Optional. Whether each value needs to be strictly greater
-                than ('>') the minimum, or if equality is allowed.
-
-                Only relevant if a ``min_value`` has been defined. Default =
-                false.
-            strict_max_enabled (bool):
-                Optional. Whether each value needs to be strictly lesser
-                than ('<') the maximum, or if equality is allowed.
-
-                Only relevant if a ``max_value`` has been defined. Default =
-                false.
-        """
-
-        min_value: str = proto.Field(
-            proto.STRING,
-            number=1,
-        )
-        max_value: str = proto.Field(
-            proto.STRING,
-            number=2,
-        )
-        strict_min_enabled: bool = proto.Field(
-            proto.BOOL,
-            number=3,
-        )
-        strict_max_enabled: bool = proto.Field(
-            proto.BOOL,
-            number=4,
-        )
-
-    class NonNullExpectation(proto.Message):
-        r"""Evaluates whether each column value is null.
-        """
-
-    class SetExpectation(proto.Message):
-        r"""Evaluates whether each column value is contained by a
-        specified set.
-
-        Attributes:
-            values (MutableSequence[str]):
-                Optional. Expected values for the column
-                value.
-        """
-
-        values: MutableSequence[str] = proto.RepeatedField(
-            proto.STRING,
-            number=1,
-        )
-
-    class RegexExpectation(proto.Message):
-        r"""Evaluates whether each column value matches a specified
-        regex.
-
-        Attributes:
-            regex (str):
-                Optional. A regular expression the column
-                value is expected to match.
-        """
-
-        regex: str = proto.Field(
-            proto.STRING,
-            number=1,
-        )
-
-    class UniquenessExpectation(proto.Message):
-        r"""Evaluates whether the column has duplicates.
-        """
-
-    class StatisticRangeExpectation(proto.Message):
-        r"""Evaluates whether the column aggregate statistic lies between
-        a specified range.
-
-        Attributes:
-            statistic (google.cloud.dataplex_v1.types.DataQualityRule.StatisticRangeExpectation.ColumnStatistic):
-                Optional. The aggregate metric to evaluate.
-            min_value (str):
-                Optional. The minimum column statistic value allowed for a
-                row to pass this validation.
-
-                At least one of ``min_value`` and ``max_value`` need to be
-                provided.
-            max_value (str):
-                Optional. The maximum column statistic value allowed for a
-                row to pass this validation.
-
-                At least one of ``min_value`` and ``max_value`` need to be
-                provided.
-            strict_min_enabled (bool):
-                Optional. Whether column statistic needs to be strictly
-                greater than ('>') the minimum, or if equality is allowed.
-
-                Only relevant if a ``min_value`` has been defined. Default =
-                false.
-            strict_max_enabled (bool):
-                Optional. Whether column statistic needs to be strictly
-                lesser than ('<') the maximum, or if equality is allowed.
-
-                Only relevant if a ``max_value`` has been defined. Default =
-                false.
-        """
-        class ColumnStatistic(proto.Enum):
-            r"""The list of aggregate metrics a rule can be evaluated
-            against.
-
-            Values:
-                STATISTIC_UNDEFINED (0):
-                    Unspecified statistic type
-                MEAN (1):
-                    Evaluate the column mean
-                MIN (2):
-                    Evaluate the column min
-                MAX (3):
-                    Evaluate the column max
-            """
-            STATISTIC_UNDEFINED = 0
-            MEAN = 1
-            MIN = 2
-            MAX = 3
-
-        statistic: 'DataQualityRule.StatisticRangeExpectation.ColumnStatistic' = proto.Field(
-            proto.ENUM,
-            number=1,
-            enum='DataQualityRule.StatisticRangeExpectation.ColumnStatistic',
-        )
-        min_value: str = proto.Field(
-            proto.STRING,
-            number=2,
-        )
-        max_value: str = proto.Field(
-            proto.STRING,
-            number=3,
-        )
-        strict_min_enabled: bool = proto.Field(
-            proto.BOOL,
-            number=4,
-        )
-        strict_max_enabled: bool = proto.Field(
-            proto.BOOL,
-            number=5,
-        )
-
-    class RowConditionExpectation(proto.Message):
-        r"""Evaluates whether each row passes the specified condition.
-
-        The SQL expression needs to use BigQuery standard SQL syntax and
-        should produce a boolean value per row as the result.
-
-        Example: col1 >= 0 AND col2 < 10
-
-        Attributes:
-            sql_expression (str):
-                Optional. The SQL expression.
-        """
-
-        sql_expression: str = proto.Field(
-            proto.STRING,
-            number=1,
-        )
-
-    class TableConditionExpectation(proto.Message):
-        r"""Evaluates whether the provided expression is true.
-
-        The SQL expression needs to use BigQuery standard SQL syntax and
-        should produce a scalar boolean result.
-
-        Example: MIN(col1) >= 0
-
-        Attributes:
-            sql_expression (str):
-                Optional. The SQL expression.
-        """
-
-        sql_expression: str = proto.Field(
-            proto.STRING,
-            number=1,
-        )
-
-    class SqlAssertion(proto.Message):
-        r"""A SQL statement that is evaluated to return rows that match an
-        invalid state. If any rows are are returned, this rule fails.
-
-        The SQL statement must use BigQuery standard SQL syntax, and must
-        not contain any semicolons.
-
-        You can use the data reference parameter ``${data()}`` to reference
-        the source table with all of its precondition filters applied.
-        Examples of precondition filters include row filters, incremental
-        data filters, and sampling. For more information, see `Data
-        reference
-        parameter <https://cloud.google.com/dataplex/docs/auto-data-quality-overview#data-reference-parameter>`__.
-
-        Example: ``SELECT * FROM ${data()} WHERE price < 0``
-
-        Attributes:
-            sql_statement (str):
-                Optional. The SQL statement.
-        """
-
-        sql_statement: str = proto.Field(
-            proto.STRING,
-            number=1,
-        )
-
-    range_expectation: RangeExpectation = proto.Field(
-        proto.MESSAGE,
-        number=1,
-        oneof='rule_type',
-        message=RangeExpectation,
-    )
-    non_null_expectation: NonNullExpectation = proto.Field(
-        proto.MESSAGE,
-        number=2,
-        oneof='rule_type',
-        message=NonNullExpectation,
-    )
-    set_expectation: SetExpectation = proto.Field(
-        proto.MESSAGE,
-        number=3,
-        oneof='rule_type',
-        message=SetExpectation,
-    )
-    regex_expectation: RegexExpectation = proto.Field(
-        proto.MESSAGE,
-        number=4,
-        oneof='rule_type',
-        message=RegexExpectation,
-    )
-    uniqueness_expectation: UniquenessExpectation = proto.Field(
-        proto.MESSAGE,
-        number=100,
-        oneof='rule_type',
-        message=UniquenessExpectation,
-    )
-    statistic_range_expectation: StatisticRangeExpectation = proto.Field(
-        proto.MESSAGE,
-        number=101,
-        oneof='rule_type',
-        message=StatisticRangeExpectation,
-    )
-    row_condition_expectation: RowConditionExpectation = proto.Field(
-        proto.MESSAGE,
-        number=200,
-        oneof='rule_type',
-        message=RowConditionExpectation,
-    )
-    table_condition_expectation: TableConditionExpectation = proto.Field(
-        proto.MESSAGE,
-        number=201,
-        oneof='rule_type',
-        message=TableConditionExpectation,
-    )
-    sql_assertion: SqlAssertion = proto.Field(
-        proto.MESSAGE,
-        number=202,
-        oneof='rule_type',
-        message=SqlAssertion,
-    )
-    column: str = proto.Field(
-        proto.STRING,
-        number=500,
-    )
-    ignore_null: bool = proto.Field(
-        proto.BOOL,
-        number=501,
-    )
-    dimension: str = proto.Field(
-        proto.STRING,
-        number=502,
-    )
-    threshold: float = proto.Field(
-        proto.DOUBLE,
-        number=503,
-    )
-    name: str = proto.Field(
-        proto.STRING,
-        number=504,
-    )
-    description: str = proto.Field(
-        proto.STRING,
-        number=505,
-    )
-    suspended: bool = proto.Field(
-        proto.BOOL,
-        number=506,
-    )
-
-
-class DataQualityColumnResult(proto.Message):
-    r"""DataQualityColumnResult provides a more detailed, per-column
-    view of the results.
-
-
-    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
-
-    Attributes:
-        column (str):
-            Output only. The column specified in the
-            DataQualityRule.
-        score (float):
-            Output only. The column-level data quality score for this
-            data scan job if and only if the 'column' field is set.
-
-            The score ranges between between [0, 100] (up to two decimal
-            points).
-
-            This field is a member of `oneof`_ ``_score``.
-    """
-
-    column: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    score: float = proto.Field(
-        proto.FLOAT,
-        number=2,
-        optional=True,
-    )
-
-
-__all__ = tuple(sorted(__protobuf__.manifest))
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/data_taxonomy.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/data_taxonomy.py
deleted file mode 100644
index e837b4b01d37..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/data_taxonomy.py
+++ /dev/null
@@ -1,976 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from __future__ import annotations
-
-from typing import MutableMapping, MutableSequence
-
-import proto  # type: ignore
-
-from google.cloud.dataplex_v1.types import security
-from google.protobuf import field_mask_pb2  # type: ignore
-from google.protobuf import timestamp_pb2  # type: ignore
-
-
-__protobuf__ = proto.module(
-    package='google.cloud.dataplex.v1',
-    manifest={
-        'DataTaxonomy',
-        'DataAttribute',
-        'DataAttributeBinding',
-        'CreateDataTaxonomyRequest',
-        'UpdateDataTaxonomyRequest',
-        'GetDataTaxonomyRequest',
-        'ListDataTaxonomiesRequest',
-        'ListDataTaxonomiesResponse',
-        'DeleteDataTaxonomyRequest',
-        'CreateDataAttributeRequest',
-        'UpdateDataAttributeRequest',
-        'GetDataAttributeRequest',
-        'ListDataAttributesRequest',
-        'ListDataAttributesResponse',
-        'DeleteDataAttributeRequest',
-        'CreateDataAttributeBindingRequest',
-        'UpdateDataAttributeBindingRequest',
-        'GetDataAttributeBindingRequest',
-        'ListDataAttributeBindingsRequest',
-        'ListDataAttributeBindingsResponse',
-        'DeleteDataAttributeBindingRequest',
-    },
-)
-
-
-class DataTaxonomy(proto.Message):
-    r"""DataTaxonomy represents a set of hierarchical DataAttributes
-    resources, grouped with a common theme Eg:
-    'SensitiveDataTaxonomy' can have attributes to manage PII data.
-    It is defined at project level.
-
-    Attributes:
-        name (str):
-            Output only. The relative resource name of the DataTaxonomy,
-            of the form:
-            projects/{project_number}/locations/{location_id}/dataTaxonomies/{data_taxonomy_id}.
-        uid (str):
-            Output only. System generated globally unique
-            ID for the dataTaxonomy. This ID will be
-            different if the DataTaxonomy is deleted and
-            re-created with the same name.
-        create_time (google.protobuf.timestamp_pb2.Timestamp):
-            Output only. The time when the DataTaxonomy
-            was created.
-        update_time (google.protobuf.timestamp_pb2.Timestamp):
-            Output only. The time when the DataTaxonomy
-            was last updated.
-        description (str):
-            Optional. Description of the DataTaxonomy.
-        display_name (str):
-            Optional. User friendly display name.
-        labels (MutableMapping[str, str]):
-            Optional. User-defined labels for the
-            DataTaxonomy.
-        attribute_count (int):
-            Output only. The number of attributes in the
-            DataTaxonomy.
-        etag (str):
-            This checksum is computed by the server based
-            on the value of other fields, and may be sent on
-            update and delete requests to ensure the client
-            has an up-to-date value before proceeding.
-        class_count (int):
-            Output only. The number of classes in the
-            DataTaxonomy.
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    uid: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    create_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=3,
-        message=timestamp_pb2.Timestamp,
-    )
-    update_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=4,
-        message=timestamp_pb2.Timestamp,
-    )
-    description: str = proto.Field(
-        proto.STRING,
-        number=5,
-    )
-    display_name: str = proto.Field(
-        proto.STRING,
-        number=6,
-    )
-    labels: MutableMapping[str, str] = proto.MapField(
-        proto.STRING,
-        proto.STRING,
-        number=8,
-    )
-    attribute_count: int = proto.Field(
-        proto.INT32,
-        number=9,
-    )
-    etag: str = proto.Field(
-        proto.STRING,
-        number=10,
-    )
-    class_count: int = proto.Field(
-        proto.INT32,
-        number=11,
-    )
-
-
-class DataAttribute(proto.Message):
-    r"""Denotes one dataAttribute in a dataTaxonomy, for example, PII.
-    DataAttribute resources can be defined in a hierarchy. A single
-    dataAttribute resource can contain specs of multiple types
-
-    ::
-
-       PII
-         - ResourceAccessSpec :
-                       - readers :foo@bar.com
-         - DataAccessSpec :
-                       - readers :bar@foo.com
-
-    Attributes:
-        name (str):
-            Output only. The relative resource name of the
-            dataAttribute, of the form:
-            projects/{project_number}/locations/{location_id}/dataTaxonomies/{dataTaxonomy}/attributes/{data_attribute_id}.
-        uid (str):
-            Output only. System generated globally unique
-            ID for the DataAttribute. This ID will be
-            different if the DataAttribute is deleted and
-            re-created with the same name.
-        create_time (google.protobuf.timestamp_pb2.Timestamp):
-            Output only. The time when the DataAttribute
-            was created.
-        update_time (google.protobuf.timestamp_pb2.Timestamp):
-            Output only. The time when the DataAttribute
-            was last updated.
-        description (str):
-            Optional. Description of the DataAttribute.
-        display_name (str):
-            Optional. User friendly display name.
-        labels (MutableMapping[str, str]):
-            Optional. User-defined labels for the
-            DataAttribute.
-        parent_id (str):
-            Optional. The ID of the parent DataAttribute resource,
-            should belong to the same data taxonomy. Circular dependency
-            in parent chain is not valid. Maximum depth of the hierarchy
-            allowed is 4. [a -> b -> c -> d -> e, depth = 4]
-        attribute_count (int):
-            Output only. The number of child attributes
-            present for this attribute.
-        etag (str):
-            This checksum is computed by the server based
-            on the value of other fields, and may be sent on
-            update and delete requests to ensure the client
-            has an up-to-date value before proceeding.
-        resource_access_spec (google.cloud.dataplex_v1.types.ResourceAccessSpec):
-            Optional. Specified when applied to a
-            resource (eg: Cloud Storage bucket, BigQuery
-            dataset, BigQuery table).
-        data_access_spec (google.cloud.dataplex_v1.types.DataAccessSpec):
-            Optional. Specified when applied to data
-            stored on the resource (eg: rows, columns in
-            BigQuery Tables).
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    uid: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    create_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=3,
-        message=timestamp_pb2.Timestamp,
-    )
-    update_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=4,
-        message=timestamp_pb2.Timestamp,
-    )
-    description: str = proto.Field(
-        proto.STRING,
-        number=5,
-    )
-    display_name: str = proto.Field(
-        proto.STRING,
-        number=6,
-    )
-    labels: MutableMapping[str, str] = proto.MapField(
-        proto.STRING,
-        proto.STRING,
-        number=7,
-    )
-    parent_id: str = proto.Field(
-        proto.STRING,
-        number=8,
-    )
-    attribute_count: int = proto.Field(
-        proto.INT32,
-        number=9,
-    )
-    etag: str = proto.Field(
-        proto.STRING,
-        number=10,
-    )
-    resource_access_spec: security.ResourceAccessSpec = proto.Field(
-        proto.MESSAGE,
-        number=100,
-        message=security.ResourceAccessSpec,
-    )
-    data_access_spec: security.DataAccessSpec = proto.Field(
-        proto.MESSAGE,
-        number=101,
-        message=security.DataAccessSpec,
-    )
-
-
-class DataAttributeBinding(proto.Message):
-    r"""DataAttributeBinding represents binding of attributes to
-    resources. Eg: Bind 'CustomerInfo' entity with 'PII' attribute.
-
-
-    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
-
-    Attributes:
-        name (str):
-            Output only. The relative resource name of the Data
-            Attribute Binding, of the form:
-            projects/{project_number}/locations/{location}/dataAttributeBindings/{data_attribute_binding_id}
-        uid (str):
-            Output only. System generated globally unique
-            ID for the DataAttributeBinding. This ID will be
-            different if the DataAttributeBinding is deleted
-            and re-created with the same name.
-        create_time (google.protobuf.timestamp_pb2.Timestamp):
-            Output only. The time when the
-            DataAttributeBinding was created.
-        update_time (google.protobuf.timestamp_pb2.Timestamp):
-            Output only. The time when the
-            DataAttributeBinding was last updated.
-        description (str):
-            Optional. Description of the
-            DataAttributeBinding.
-        display_name (str):
-            Optional. User friendly display name.
-        labels (MutableMapping[str, str]):
-            Optional. User-defined labels for the
-            DataAttributeBinding.
-        etag (str):
-            This checksum is computed by the server based
-            on the value of other fields, and may be sent on
-            update and delete requests to ensure the client
-            has an up-to-date value before proceeding. Etags
-            must be used when calling the
-            DeleteDataAttributeBinding and the
-            UpdateDataAttributeBinding method.
-        resource (str):
-            Optional. Immutable. The resource name of the resource that
-            is associated to attributes. Presently, only entity resource
-            is supported in the form:
-            projects/{project}/locations/{location}/lakes/{lake}/zones/{zone}/entities/{entity_id}
-            Must belong in the same project and region as the attribute
-            binding, and there can only exist one active binding for a
-            resource.
-
-            This field is a member of `oneof`_ ``resource_reference``.
-        attributes (MutableSequence[str]):
-            Optional. List of attributes to be associated with the
-            resource, provided in the form:
-            projects/{project}/locations/{location}/dataTaxonomies/{dataTaxonomy}/attributes/{data_attribute_id}
-        paths (MutableSequence[google.cloud.dataplex_v1.types.DataAttributeBinding.Path]):
-            Optional. The list of paths for items within
-            the associated resource (eg. columns and
-            partitions within a table) along with attribute
-            bindings.
-    """
-
-    class Path(proto.Message):
-        r"""Represents a subresource of the given resource, and
-        associated bindings with it. Currently supported subresources
-        are column and partition schema fields within a table.
-
-        Attributes:
-            name (str):
-                Required. The name identifier of the path.
-                Nested columns should be of the form:
-                'address.city'.
-            attributes (MutableSequence[str]):
-                Optional. List of attributes to be associated with the path
-                of the resource, provided in the form:
-                projects/{project}/locations/{location}/dataTaxonomies/{dataTaxonomy}/attributes/{data_attribute_id}
-        """
-
-        name: str = proto.Field(
-            proto.STRING,
-            number=1,
-        )
-        attributes: MutableSequence[str] = proto.RepeatedField(
-            proto.STRING,
-            number=2,
-        )
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    uid: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    create_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=3,
-        message=timestamp_pb2.Timestamp,
-    )
-    update_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=4,
-        message=timestamp_pb2.Timestamp,
-    )
-    description: str = proto.Field(
-        proto.STRING,
-        number=5,
-    )
-    display_name: str = proto.Field(
-        proto.STRING,
-        number=6,
-    )
-    labels: MutableMapping[str, str] = proto.MapField(
-        proto.STRING,
-        proto.STRING,
-        number=7,
-    )
-    etag: str = proto.Field(
-        proto.STRING,
-        number=8,
-    )
-    resource: str = proto.Field(
-        proto.STRING,
-        number=100,
-        oneof='resource_reference',
-    )
-    attributes: MutableSequence[str] = proto.RepeatedField(
-        proto.STRING,
-        number=110,
-    )
-    paths: MutableSequence[Path] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=120,
-        message=Path,
-    )
-
-
-class CreateDataTaxonomyRequest(proto.Message):
-    r"""Create DataTaxonomy request.
-
-    Attributes:
-        parent (str):
-            Required. The resource name of the data taxonomy location,
-            of the form:
-            projects/{project_number}/locations/{location_id} where
-            ``location_id`` refers to a GCP region.
-        data_taxonomy_id (str):
-            Required. DataTaxonomy identifier.
-
-            -  Must contain only lowercase letters, numbers and hyphens.
-            -  Must start with a letter.
-            -  Must be between 1-63 characters.
-            -  Must end with a number or a letter.
-            -  Must be unique within the Project.
-        data_taxonomy (google.cloud.dataplex_v1.types.DataTaxonomy):
-            Required. DataTaxonomy resource.
-        validate_only (bool):
-            Optional. Only validate the request, but do
-            not perform mutations. The default is false.
-    """
-
-    parent: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    data_taxonomy_id: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    data_taxonomy: 'DataTaxonomy' = proto.Field(
-        proto.MESSAGE,
-        number=3,
-        message='DataTaxonomy',
-    )
-    validate_only: bool = proto.Field(
-        proto.BOOL,
-        number=4,
-    )
-
-
-class UpdateDataTaxonomyRequest(proto.Message):
-    r"""Update DataTaxonomy request.
-
-    Attributes:
-        update_mask (google.protobuf.field_mask_pb2.FieldMask):
-            Required. Mask of fields to update.
-        data_taxonomy (google.cloud.dataplex_v1.types.DataTaxonomy):
-            Required. Only fields specified in ``update_mask`` are
-            updated.
-        validate_only (bool):
-            Optional. Only validate the request, but do
-            not perform mutations. The default is false.
-    """
-
-    update_mask: field_mask_pb2.FieldMask = proto.Field(
-        proto.MESSAGE,
-        number=1,
-        message=field_mask_pb2.FieldMask,
-    )
-    data_taxonomy: 'DataTaxonomy' = proto.Field(
-        proto.MESSAGE,
-        number=2,
-        message='DataTaxonomy',
-    )
-    validate_only: bool = proto.Field(
-        proto.BOOL,
-        number=3,
-    )
-
-
-class GetDataTaxonomyRequest(proto.Message):
-    r"""Get DataTaxonomy request.
-
-    Attributes:
-        name (str):
-            Required. The resource name of the DataTaxonomy:
-            projects/{project_number}/locations/{location_id}/dataTaxonomies/{data_taxonomy_id}
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-
-
-class ListDataTaxonomiesRequest(proto.Message):
-    r"""List DataTaxonomies request.
-
-    Attributes:
-        parent (str):
-            Required. The resource name of the DataTaxonomy location, of
-            the form: projects/{project_number}/locations/{location_id}
-            where ``location_id`` refers to a GCP region.
-        page_size (int):
-            Optional. Maximum number of DataTaxonomies to
-            return. The service may return fewer than this
-            value. If unspecified, at most 10 DataTaxonomies
-            will be returned. The maximum value is 1000;
-            values above 1000 will be coerced to 1000.
-        page_token (str):
-            Optional. Page token received from a previous
-            ``ListDataTaxonomies`` call. Provide this to retrieve the
-            subsequent page. When paginating, all other parameters
-            provided to ``ListDataTaxonomies`` must match the call that
-            provided the page token.
-        filter (str):
-            Optional. Filter request.
-        order_by (str):
-            Optional. Order by fields for the result.
-    """
-
-    parent: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    page_size: int = proto.Field(
-        proto.INT32,
-        number=2,
-    )
-    page_token: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-    filter: str = proto.Field(
-        proto.STRING,
-        number=4,
-    )
-    order_by: str = proto.Field(
-        proto.STRING,
-        number=5,
-    )
-
-
-class ListDataTaxonomiesResponse(proto.Message):
-    r"""List DataTaxonomies response.
-
-    Attributes:
-        data_taxonomies (MutableSequence[google.cloud.dataplex_v1.types.DataTaxonomy]):
-            DataTaxonomies under the given parent
-            location.
-        next_page_token (str):
-            Token to retrieve the next page of results,
-            or empty if there are no more results in the
-            list.
-        unreachable_locations (MutableSequence[str]):
-            Locations that could not be reached.
-    """
-
-    @property
-    def raw_page(self):
-        return self
-
-    data_taxonomies: MutableSequence['DataTaxonomy'] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=1,
-        message='DataTaxonomy',
-    )
-    next_page_token: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    unreachable_locations: MutableSequence[str] = proto.RepeatedField(
-        proto.STRING,
-        number=3,
-    )
-
-
-class DeleteDataTaxonomyRequest(proto.Message):
-    r"""Delete DataTaxonomy request.
-
-    Attributes:
-        name (str):
-            Required. The resource name of the DataTaxonomy:
-            projects/{project_number}/locations/{location_id}/dataTaxonomies/{data_taxonomy_id}
-        etag (str):
-            Optional. If the client provided etag value
-            does not match the current etag value,the
-            DeleteDataTaxonomy method returns an ABORTED
-            error.
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    etag: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-
-
-class CreateDataAttributeRequest(proto.Message):
-    r"""Create DataAttribute request.
-
-    Attributes:
-        parent (str):
-            Required. The resource name of the parent data taxonomy
-            projects/{project_number}/locations/{location_id}/dataTaxonomies/{data_taxonomy_id}
-        data_attribute_id (str):
-            Required. DataAttribute identifier.
-
-            -  Must contain only lowercase letters, numbers and hyphens.
-            -  Must start with a letter.
-            -  Must be between 1-63 characters.
-            -  Must end with a number or a letter.
-            -  Must be unique within the DataTaxonomy.
-        data_attribute (google.cloud.dataplex_v1.types.DataAttribute):
-            Required. DataAttribute resource.
-        validate_only (bool):
-            Optional. Only validate the request, but do
-            not perform mutations. The default is false.
-    """
-
-    parent: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    data_attribute_id: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    data_attribute: 'DataAttribute' = proto.Field(
-        proto.MESSAGE,
-        number=3,
-        message='DataAttribute',
-    )
-    validate_only: bool = proto.Field(
-        proto.BOOL,
-        number=4,
-    )
-
-
-class UpdateDataAttributeRequest(proto.Message):
-    r"""Update DataAttribute request.
-
-    Attributes:
-        update_mask (google.protobuf.field_mask_pb2.FieldMask):
-            Required. Mask of fields to update.
-        data_attribute (google.cloud.dataplex_v1.types.DataAttribute):
-            Required. Only fields specified in ``update_mask`` are
-            updated.
-        validate_only (bool):
-            Optional. Only validate the request, but do
-            not perform mutations. The default is false.
-    """
-
-    update_mask: field_mask_pb2.FieldMask = proto.Field(
-        proto.MESSAGE,
-        number=1,
-        message=field_mask_pb2.FieldMask,
-    )
-    data_attribute: 'DataAttribute' = proto.Field(
-        proto.MESSAGE,
-        number=2,
-        message='DataAttribute',
-    )
-    validate_only: bool = proto.Field(
-        proto.BOOL,
-        number=3,
-    )
-
-
-class GetDataAttributeRequest(proto.Message):
-    r"""Get DataAttribute request.
-
-    Attributes:
-        name (str):
-            Required. The resource name of the dataAttribute:
-            projects/{project_number}/locations/{location_id}/dataTaxonomies/{dataTaxonomy}/attributes/{data_attribute_id}
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-
-
-class ListDataAttributesRequest(proto.Message):
-    r"""List DataAttributes request.
-
-    Attributes:
-        parent (str):
-            Required. The resource name of the DataTaxonomy:
-            projects/{project_number}/locations/{location_id}/dataTaxonomies/{data_taxonomy_id}
-        page_size (int):
-            Optional. Maximum number of DataAttributes to
-            return. The service may return fewer than this
-            value. If unspecified, at most 10 dataAttributes
-            will be returned. The maximum value is 1000;
-            values above 1000 will be coerced to 1000.
-        page_token (str):
-            Optional. Page token received from a previous
-            ``ListDataAttributes`` call. Provide this to retrieve the
-            subsequent page. When paginating, all other parameters
-            provided to ``ListDataAttributes`` must match the call that
-            provided the page token.
-        filter (str):
-            Optional. Filter request.
-        order_by (str):
-            Optional. Order by fields for the result.
-    """
-
-    parent: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    page_size: int = proto.Field(
-        proto.INT32,
-        number=2,
-    )
-    page_token: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-    filter: str = proto.Field(
-        proto.STRING,
-        number=4,
-    )
-    order_by: str = proto.Field(
-        proto.STRING,
-        number=5,
-    )
-
-
-class ListDataAttributesResponse(proto.Message):
-    r"""List DataAttributes response.
-
-    Attributes:
-        data_attributes (MutableSequence[google.cloud.dataplex_v1.types.DataAttribute]):
-            DataAttributes under the given parent
-            DataTaxonomy.
-        next_page_token (str):
-            Token to retrieve the next page of results,
-            or empty if there are no more results in the
-            list.
-        unreachable_locations (MutableSequence[str]):
-            Locations that could not be reached.
-    """
-
-    @property
-    def raw_page(self):
-        return self
-
-    data_attributes: MutableSequence['DataAttribute'] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=1,
-        message='DataAttribute',
-    )
-    next_page_token: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    unreachable_locations: MutableSequence[str] = proto.RepeatedField(
-        proto.STRING,
-        number=3,
-    )
-
-
-class DeleteDataAttributeRequest(proto.Message):
-    r"""Delete DataAttribute request.
-
-    Attributes:
-        name (str):
-            Required. The resource name of the DataAttribute:
-            projects/{project_number}/locations/{location_id}/dataTaxonomies/{dataTaxonomy}/attributes/{data_attribute_id}
-        etag (str):
-            Optional. If the client provided etag value
-            does not match the current etag value, the
-            DeleteDataAttribute method returns an ABORTED
-            error response.
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    etag: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-
-
-class CreateDataAttributeBindingRequest(proto.Message):
-    r"""Create DataAttributeBinding request.
-
-    Attributes:
-        parent (str):
-            Required. The resource name of the parent data taxonomy
-            projects/{project_number}/locations/{location_id}
-        data_attribute_binding_id (str):
-            Required. DataAttributeBinding identifier.
-
-            -  Must contain only lowercase letters, numbers and hyphens.
-            -  Must start with a letter.
-            -  Must be between 1-63 characters.
-            -  Must end with a number or a letter.
-            -  Must be unique within the Location.
-        data_attribute_binding (google.cloud.dataplex_v1.types.DataAttributeBinding):
-            Required. DataAttributeBinding resource.
-        validate_only (bool):
-            Optional. Only validate the request, but do
-            not perform mutations. The default is false.
-    """
-
-    parent: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    data_attribute_binding_id: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    data_attribute_binding: 'DataAttributeBinding' = proto.Field(
-        proto.MESSAGE,
-        number=3,
-        message='DataAttributeBinding',
-    )
-    validate_only: bool = proto.Field(
-        proto.BOOL,
-        number=4,
-    )
-
-
-class UpdateDataAttributeBindingRequest(proto.Message):
-    r"""Update DataAttributeBinding request.
-
-    Attributes:
-        update_mask (google.protobuf.field_mask_pb2.FieldMask):
-            Required. Mask of fields to update.
-        data_attribute_binding (google.cloud.dataplex_v1.types.DataAttributeBinding):
-            Required. Only fields specified in ``update_mask`` are
-            updated.
-        validate_only (bool):
-            Optional. Only validate the request, but do
-            not perform mutations. The default is false.
-    """
-
-    update_mask: field_mask_pb2.FieldMask = proto.Field(
-        proto.MESSAGE,
-        number=1,
-        message=field_mask_pb2.FieldMask,
-    )
-    data_attribute_binding: 'DataAttributeBinding' = proto.Field(
-        proto.MESSAGE,
-        number=2,
-        message='DataAttributeBinding',
-    )
-    validate_only: bool = proto.Field(
-        proto.BOOL,
-        number=3,
-    )
-
-
-class GetDataAttributeBindingRequest(proto.Message):
-    r"""Get DataAttributeBinding request.
-
-    Attributes:
-        name (str):
-            Required. The resource name of the DataAttributeBinding:
-            projects/{project_number}/locations/{location_id}/dataAttributeBindings/{data_attribute_binding_id}
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-
-
-class ListDataAttributeBindingsRequest(proto.Message):
-    r"""List DataAttributeBindings request.
-
-    Attributes:
-        parent (str):
-            Required. The resource name of the Location:
-            projects/{project_number}/locations/{location_id}
-        page_size (int):
-            Optional. Maximum number of
-            DataAttributeBindings to return. The service may
-            return fewer than this value. If unspecified, at
-            most 10 DataAttributeBindings will be returned.
-            The maximum value is 1000; values above 1000
-            will be coerced to 1000.
-        page_token (str):
-            Optional. Page token received from a previous
-            ``ListDataAttributeBindings`` call. Provide this to retrieve
-            the subsequent page. When paginating, all other parameters
-            provided to ``ListDataAttributeBindings`` must match the
-            call that provided the page token.
-        filter (str):
-            Optional. Filter request.
-            Filter using resource:
-            filter=resource:"resource-name" Filter using
-            attribute: filter=attributes:"attribute-name"
-            Filter using attribute in paths list:
-
-            filter=paths.attributes:"attribute-name".
-        order_by (str):
-            Optional. Order by fields for the result.
-    """
-
-    parent: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    page_size: int = proto.Field(
-        proto.INT32,
-        number=2,
-    )
-    page_token: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-    filter: str = proto.Field(
-        proto.STRING,
-        number=4,
-    )
-    order_by: str = proto.Field(
-        proto.STRING,
-        number=5,
-    )
-
-
-class ListDataAttributeBindingsResponse(proto.Message):
-    r"""List DataAttributeBindings response.
-
-    Attributes:
-        data_attribute_bindings (MutableSequence[google.cloud.dataplex_v1.types.DataAttributeBinding]):
-            DataAttributeBindings under the given parent
-            Location.
-        next_page_token (str):
-            Token to retrieve the next page of results,
-            or empty if there are no more results in the
-            list.
-        unreachable_locations (MutableSequence[str]):
-            Locations that could not be reached.
-    """
-
-    @property
-    def raw_page(self):
-        return self
-
-    data_attribute_bindings: MutableSequence['DataAttributeBinding'] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=1,
-        message='DataAttributeBinding',
-    )
-    next_page_token: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    unreachable_locations: MutableSequence[str] = proto.RepeatedField(
-        proto.STRING,
-        number=3,
-    )
-
-
-class DeleteDataAttributeBindingRequest(proto.Message):
-    r"""Delete DataAttributeBinding request.
-
-    Attributes:
-        name (str):
-            Required. The resource name of the DataAttributeBinding:
-            projects/{project_number}/locations/{location_id}/dataAttributeBindings/{data_attribute_binding_id}
-        etag (str):
-            Required. If the client provided etag value
-            does not match the current etag value, the
-            DeleteDataAttributeBindingRequest method returns
-            an ABORTED error response. Etags must be used
-            when calling the DeleteDataAttributeBinding.
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    etag: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-
-
-__all__ = tuple(sorted(__protobuf__.manifest))
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/datascans.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/datascans.py
deleted file mode 100644
index 5dc0236e91fd..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/datascans.py
+++ /dev/null
@@ -1,905 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from __future__ import annotations
-
-from typing import MutableMapping, MutableSequence
-
-import proto  # type: ignore
-
-from google.cloud.dataplex_v1.types import data_discovery
-from google.cloud.dataplex_v1.types import data_profile
-from google.cloud.dataplex_v1.types import data_quality
-from google.cloud.dataplex_v1.types import processing
-from google.cloud.dataplex_v1.types import resources
-from google.protobuf import field_mask_pb2  # type: ignore
-from google.protobuf import timestamp_pb2  # type: ignore
-
-
-__protobuf__ = proto.module(
-    package='google.cloud.dataplex.v1',
-    manifest={
-        'DataScanType',
-        'CreateDataScanRequest',
-        'UpdateDataScanRequest',
-        'DeleteDataScanRequest',
-        'GetDataScanRequest',
-        'ListDataScansRequest',
-        'ListDataScansResponse',
-        'RunDataScanRequest',
-        'RunDataScanResponse',
-        'GetDataScanJobRequest',
-        'ListDataScanJobsRequest',
-        'ListDataScanJobsResponse',
-        'GenerateDataQualityRulesRequest',
-        'GenerateDataQualityRulesResponse',
-        'DataScan',
-        'DataScanJob',
-    },
-)
-
-
-class DataScanType(proto.Enum):
-    r"""The type of data scan.
-
-    Values:
-        DATA_SCAN_TYPE_UNSPECIFIED (0):
-            The data scan type is unspecified.
-        DATA_QUALITY (1):
-            Data quality scan.
-        DATA_PROFILE (2):
-            Data profile scan.
-        DATA_DISCOVERY (3):
-            Data discovery scan.
-    """
-    DATA_SCAN_TYPE_UNSPECIFIED = 0
-    DATA_QUALITY = 1
-    DATA_PROFILE = 2
-    DATA_DISCOVERY = 3
-
-
-class CreateDataScanRequest(proto.Message):
-    r"""Create dataScan request.
-
-    Attributes:
-        parent (str):
-            Required. The resource name of the parent location:
-            ``projects/{project}/locations/{location_id}`` where
-            ``project`` refers to a *project_id* or *project_number* and
-            ``location_id`` refers to a GCP region.
-        data_scan (google.cloud.dataplex_v1.types.DataScan):
-            Required. DataScan resource.
-        data_scan_id (str):
-            Required. DataScan identifier.
-
-            -  Must contain only lowercase letters, numbers and hyphens.
-            -  Must start with a letter.
-            -  Must end with a number or a letter.
-            -  Must be between 1-63 characters.
-            -  Must be unique within the customer project / location.
-        validate_only (bool):
-            Optional. Only validate the request, but do not perform
-            mutations. The default is ``false``.
-    """
-
-    parent: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    data_scan: 'DataScan' = proto.Field(
-        proto.MESSAGE,
-        number=2,
-        message='DataScan',
-    )
-    data_scan_id: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-    validate_only: bool = proto.Field(
-        proto.BOOL,
-        number=4,
-    )
-
-
-class UpdateDataScanRequest(proto.Message):
-    r"""Update dataScan request.
-
-    Attributes:
-        data_scan (google.cloud.dataplex_v1.types.DataScan):
-            Required. DataScan resource to be updated.
-
-            Only fields specified in ``update_mask`` are updated.
-        update_mask (google.protobuf.field_mask_pb2.FieldMask):
-            Required. Mask of fields to update.
-        validate_only (bool):
-            Optional. Only validate the request, but do not perform
-            mutations. The default is ``false``.
-    """
-
-    data_scan: 'DataScan' = proto.Field(
-        proto.MESSAGE,
-        number=1,
-        message='DataScan',
-    )
-    update_mask: field_mask_pb2.FieldMask = proto.Field(
-        proto.MESSAGE,
-        number=2,
-        message=field_mask_pb2.FieldMask,
-    )
-    validate_only: bool = proto.Field(
-        proto.BOOL,
-        number=3,
-    )
-
-
-class DeleteDataScanRequest(proto.Message):
-    r"""Delete dataScan request.
-
-    Attributes:
-        name (str):
-            Required. The resource name of the dataScan:
-            ``projects/{project}/locations/{location_id}/dataScans/{data_scan_id}``
-            where ``project`` refers to a *project_id* or
-            *project_number* and ``location_id`` refers to a GCP region.
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-
-
-class GetDataScanRequest(proto.Message):
-    r"""Get dataScan request.
-
-    Attributes:
-        name (str):
-            Required. The resource name of the dataScan:
-            ``projects/{project}/locations/{location_id}/dataScans/{data_scan_id}``
-            where ``project`` refers to a *project_id* or
-            *project_number* and ``location_id`` refers to a GCP region.
-        view (google.cloud.dataplex_v1.types.GetDataScanRequest.DataScanView):
-            Optional. Select the DataScan view to return. Defaults to
-            ``BASIC``.
-    """
-    class DataScanView(proto.Enum):
-        r"""DataScan view options.
-
-        Values:
-            DATA_SCAN_VIEW_UNSPECIFIED (0):
-                The API will default to the ``BASIC`` view.
-            BASIC (1):
-                Basic view that does not include *spec* and *result*.
-            FULL (10):
-                Include everything.
-        """
-        DATA_SCAN_VIEW_UNSPECIFIED = 0
-        BASIC = 1
-        FULL = 10
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    view: DataScanView = proto.Field(
-        proto.ENUM,
-        number=2,
-        enum=DataScanView,
-    )
-
-
-class ListDataScansRequest(proto.Message):
-    r"""List dataScans request.
-
-    Attributes:
-        parent (str):
-            Required. The resource name of the parent location:
-            ``projects/{project}/locations/{location_id}`` where
-            ``project`` refers to a *project_id* or *project_number* and
-            ``location_id`` refers to a GCP region.
-        page_size (int):
-            Optional. Maximum number of dataScans to
-            return. The service may return fewer than this
-            value. If unspecified, at most 500 scans will be
-            returned. The maximum value is 1000; values
-            above 1000 will be coerced to 1000.
-        page_token (str):
-            Optional. Page token received from a previous
-            ``ListDataScans`` call. Provide this to retrieve the
-            subsequent page. When paginating, all other parameters
-            provided to ``ListDataScans`` must match the call that
-            provided the page token.
-        filter (str):
-            Optional. Filter request.
-        order_by (str):
-            Optional. Order by fields (``name`` or ``create_time``) for
-            the result. If not specified, the ordering is undefined.
-    """
-
-    parent: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    page_size: int = proto.Field(
-        proto.INT32,
-        number=2,
-    )
-    page_token: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-    filter: str = proto.Field(
-        proto.STRING,
-        number=4,
-    )
-    order_by: str = proto.Field(
-        proto.STRING,
-        number=5,
-    )
-
-
-class ListDataScansResponse(proto.Message):
-    r"""List dataScans response.
-
-    Attributes:
-        data_scans (MutableSequence[google.cloud.dataplex_v1.types.DataScan]):
-            DataScans (``BASIC`` view only) under the given parent
-            location.
-        next_page_token (str):
-            Token to retrieve the next page of results,
-            or empty if there are no more results in the
-            list.
-        unreachable (MutableSequence[str]):
-            Locations that could not be reached.
-    """
-
-    @property
-    def raw_page(self):
-        return self
-
-    data_scans: MutableSequence['DataScan'] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=1,
-        message='DataScan',
-    )
-    next_page_token: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    unreachable: MutableSequence[str] = proto.RepeatedField(
-        proto.STRING,
-        number=3,
-    )
-
-
-class RunDataScanRequest(proto.Message):
-    r"""Run DataScan Request
-
-    Attributes:
-        name (str):
-            Required. The resource name of the DataScan:
-            ``projects/{project}/locations/{location_id}/dataScans/{data_scan_id}``.
-            where ``project`` refers to a *project_id* or
-            *project_number* and ``location_id`` refers to a GCP region.
-
-            Only **OnDemand** data scans are allowed.
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-
-
-class RunDataScanResponse(proto.Message):
-    r"""Run DataScan Response.
-
-    Attributes:
-        job (google.cloud.dataplex_v1.types.DataScanJob):
-            DataScanJob created by RunDataScan request.
-    """
-
-    job: 'DataScanJob' = proto.Field(
-        proto.MESSAGE,
-        number=1,
-        message='DataScanJob',
-    )
-
-
-class GetDataScanJobRequest(proto.Message):
-    r"""Get DataScanJob request.
-
-    Attributes:
-        name (str):
-            Required. The resource name of the DataScanJob:
-            ``projects/{project}/locations/{location_id}/dataScans/{data_scan_id}/jobs/{data_scan_job_id}``
-            where ``project`` refers to a *project_id* or
-            *project_number* and ``location_id`` refers to a GCP region.
-        view (google.cloud.dataplex_v1.types.GetDataScanJobRequest.DataScanJobView):
-            Optional. Select the DataScanJob view to return. Defaults to
-            ``BASIC``.
-    """
-    class DataScanJobView(proto.Enum):
-        r"""DataScanJob view options.
-
-        Values:
-            DATA_SCAN_JOB_VIEW_UNSPECIFIED (0):
-                The API will default to the ``BASIC`` view.
-            BASIC (1):
-                Basic view that does not include *spec* and *result*.
-            FULL (10):
-                Include everything.
-        """
-        DATA_SCAN_JOB_VIEW_UNSPECIFIED = 0
-        BASIC = 1
-        FULL = 10
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    view: DataScanJobView = proto.Field(
-        proto.ENUM,
-        number=2,
-        enum=DataScanJobView,
-    )
-
-
-class ListDataScanJobsRequest(proto.Message):
-    r"""List DataScanJobs request.
-
-    Attributes:
-        parent (str):
-            Required. The resource name of the parent environment:
-            ``projects/{project}/locations/{location_id}/dataScans/{data_scan_id}``
-            where ``project`` refers to a *project_id* or
-            *project_number* and ``location_id`` refers to a GCP region.
-        page_size (int):
-            Optional. Maximum number of DataScanJobs to
-            return. The service may return fewer than this
-            value. If unspecified, at most 10 DataScanJobs
-            will be returned. The maximum value is 1000;
-            values above 1000 will be coerced to 1000.
-        page_token (str):
-            Optional. Page token received from a previous
-            ``ListDataScanJobs`` call. Provide this to retrieve the
-            subsequent page. When paginating, all other parameters
-            provided to ``ListDataScanJobs`` must match the call that
-            provided the page token.
-        filter (str):
-            Optional. An expression for filtering the results of the
-            ListDataScanJobs request.
-
-            If unspecified, all datascan jobs will be returned. Multiple
-            filters can be applied (with ``AND``, ``OR`` logical
-            operators). Filters are case-sensitive.
-
-            Allowed fields are:
-
-            -  ``start_time``
-            -  ``end_time``
-
-            ``start_time`` and ``end_time`` expect RFC-3339 formatted
-            strings (e.g. 2018-10-08T18:30:00-07:00).
-
-            For instance, 'start_time > 2018-10-08T00:00:00.123456789Z
-            AND end_time < 2018-10-09T00:00:00.123456789Z' limits
-            results to DataScanJobs between specified start and end
-            times.
-    """
-
-    parent: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    page_size: int = proto.Field(
-        proto.INT32,
-        number=2,
-    )
-    page_token: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-    filter: str = proto.Field(
-        proto.STRING,
-        number=4,
-    )
-
-
-class ListDataScanJobsResponse(proto.Message):
-    r"""List DataScanJobs response.
-
-    Attributes:
-        data_scan_jobs (MutableSequence[google.cloud.dataplex_v1.types.DataScanJob]):
-            DataScanJobs (``BASIC`` view only) under a given dataScan.
-        next_page_token (str):
-            Token to retrieve the next page of results,
-            or empty if there are no more results in the
-            list.
-    """
-
-    @property
-    def raw_page(self):
-        return self
-
-    data_scan_jobs: MutableSequence['DataScanJob'] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=1,
-        message='DataScanJob',
-    )
-    next_page_token: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-
-
-class GenerateDataQualityRulesRequest(proto.Message):
-    r"""Request details for generating data quality rule
-    recommendations.
-
-    Attributes:
-        name (str):
-            Required. The name must be one of the following:
-
-            -  The name of a data scan with at least one successful,
-               completed data profiling job
-            -  The name of a successful, completed data profiling job (a
-               data scan job where the job type is data profiling)
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-
-
-class GenerateDataQualityRulesResponse(proto.Message):
-    r"""Response details for data quality rule recommendations.
-
-    Attributes:
-        rule (MutableSequence[google.cloud.dataplex_v1.types.DataQualityRule]):
-            The data quality rules that Dataplex
-            generates based on the results of a data
-            profiling scan.
-    """
-
-    rule: MutableSequence[data_quality.DataQualityRule] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=1,
-        message=data_quality.DataQualityRule,
-    )
-
-
-class DataScan(proto.Message):
-    r"""Represents a user-visible job which provides the insights for the
-    related data source.
-
-    For example:
-
-    -  Data Quality: generates queries based on the rules and runs
-       against the data to get data quality check results.
-    -  Data Profile: analyzes the data in table(s) and generates
-       insights about the structure, content and relationships (such as
-       null percent, cardinality, min/max/mean, etc).
-
-    This message has `oneof`_ fields (mutually exclusive fields).
-    For each oneof, at most one member field can be set at the same time.
-    Setting any member of the oneof automatically clears all other
-    members.
-
-    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
-
-    Attributes:
-        name (str):
-            Output only. The relative resource name of the scan, of the
-            form:
-            ``projects/{project}/locations/{location_id}/dataScans/{datascan_id}``,
-            where ``project`` refers to a *project_id* or
-            *project_number* and ``location_id`` refers to a GCP region.
-        uid (str):
-            Output only. System generated globally unique
-            ID for the scan. This ID will be different if
-            the scan is deleted and re-created with the same
-            name.
-        description (str):
-            Optional. Description of the scan.
-
-            -  Must be between 1-1024 characters.
-        display_name (str):
-            Optional. User friendly display name.
-
-            -  Must be between 1-256 characters.
-        labels (MutableMapping[str, str]):
-            Optional. User-defined labels for the scan.
-        state (google.cloud.dataplex_v1.types.State):
-            Output only. Current state of the DataScan.
-        create_time (google.protobuf.timestamp_pb2.Timestamp):
-            Output only. The time when the scan was
-            created.
-        update_time (google.protobuf.timestamp_pb2.Timestamp):
-            Output only. The time when the scan was last
-            updated.
-        data (google.cloud.dataplex_v1.types.DataSource):
-            Required. The data source for DataScan.
-        execution_spec (google.cloud.dataplex_v1.types.DataScan.ExecutionSpec):
-            Optional. DataScan execution settings.
-
-            If not specified, the fields in it will use
-            their default values.
-        execution_status (google.cloud.dataplex_v1.types.DataScan.ExecutionStatus):
-            Output only. Status of the data scan
-            execution.
-        type_ (google.cloud.dataplex_v1.types.DataScanType):
-            Output only. The type of DataScan.
-        data_quality_spec (google.cloud.dataplex_v1.types.DataQualitySpec):
-            Settings for a data quality scan.
-
-            This field is a member of `oneof`_ ``spec``.
-        data_profile_spec (google.cloud.dataplex_v1.types.DataProfileSpec):
-            Settings for a data profile scan.
-
-            This field is a member of `oneof`_ ``spec``.
-        data_discovery_spec (google.cloud.dataplex_v1.types.DataDiscoverySpec):
-            Settings for a data discovery scan.
-
-            This field is a member of `oneof`_ ``spec``.
-        data_quality_result (google.cloud.dataplex_v1.types.DataQualityResult):
-            Output only. The result of a data quality
-            scan.
-
-            This field is a member of `oneof`_ ``result``.
-        data_profile_result (google.cloud.dataplex_v1.types.DataProfileResult):
-            Output only. The result of a data profile
-            scan.
-
-            This field is a member of `oneof`_ ``result``.
-        data_discovery_result (google.cloud.dataplex_v1.types.DataDiscoveryResult):
-            Output only. The result of a data discovery
-            scan.
-
-            This field is a member of `oneof`_ ``result``.
-    """
-
-    class ExecutionSpec(proto.Message):
-        r"""DataScan execution settings.
-
-        .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
-
-        Attributes:
-            trigger (google.cloud.dataplex_v1.types.Trigger):
-                Optional. Spec related to how often and when a scan should
-                be triggered.
-
-                If not specified, the default is ``OnDemand``, which means
-                the scan will not run until the user calls ``RunDataScan``
-                API.
-            field (str):
-                Immutable. The unnested field (of type *Date* or
-                *Timestamp*) that contains values which monotonically
-                increase over time.
-
-                If not specified, a data scan will run for all data in the
-                table.
-
-                This field is a member of `oneof`_ ``incremental``.
-        """
-
-        trigger: processing.Trigger = proto.Field(
-            proto.MESSAGE,
-            number=1,
-            message=processing.Trigger,
-        )
-        field: str = proto.Field(
-            proto.STRING,
-            number=100,
-            oneof='incremental',
-        )
-
-    class ExecutionStatus(proto.Message):
-        r"""Status of the data scan execution.
-
-        Attributes:
-            latest_job_start_time (google.protobuf.timestamp_pb2.Timestamp):
-                The time when the latest DataScanJob started.
-            latest_job_end_time (google.protobuf.timestamp_pb2.Timestamp):
-                The time when the latest DataScanJob ended.
-            latest_job_create_time (google.protobuf.timestamp_pb2.Timestamp):
-                Optional. The time when the DataScanJob
-                execution was created.
-        """
-
-        latest_job_start_time: timestamp_pb2.Timestamp = proto.Field(
-            proto.MESSAGE,
-            number=4,
-            message=timestamp_pb2.Timestamp,
-        )
-        latest_job_end_time: timestamp_pb2.Timestamp = proto.Field(
-            proto.MESSAGE,
-            number=5,
-            message=timestamp_pb2.Timestamp,
-        )
-        latest_job_create_time: timestamp_pb2.Timestamp = proto.Field(
-            proto.MESSAGE,
-            number=6,
-            message=timestamp_pb2.Timestamp,
-        )
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    uid: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    description: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-    display_name: str = proto.Field(
-        proto.STRING,
-        number=4,
-    )
-    labels: MutableMapping[str, str] = proto.MapField(
-        proto.STRING,
-        proto.STRING,
-        number=5,
-    )
-    state: resources.State = proto.Field(
-        proto.ENUM,
-        number=6,
-        enum=resources.State,
-    )
-    create_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=7,
-        message=timestamp_pb2.Timestamp,
-    )
-    update_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=8,
-        message=timestamp_pb2.Timestamp,
-    )
-    data: processing.DataSource = proto.Field(
-        proto.MESSAGE,
-        number=9,
-        message=processing.DataSource,
-    )
-    execution_spec: ExecutionSpec = proto.Field(
-        proto.MESSAGE,
-        number=10,
-        message=ExecutionSpec,
-    )
-    execution_status: ExecutionStatus = proto.Field(
-        proto.MESSAGE,
-        number=11,
-        message=ExecutionStatus,
-    )
-    type_: 'DataScanType' = proto.Field(
-        proto.ENUM,
-        number=12,
-        enum='DataScanType',
-    )
-    data_quality_spec: data_quality.DataQualitySpec = proto.Field(
-        proto.MESSAGE,
-        number=100,
-        oneof='spec',
-        message=data_quality.DataQualitySpec,
-    )
-    data_profile_spec: data_profile.DataProfileSpec = proto.Field(
-        proto.MESSAGE,
-        number=101,
-        oneof='spec',
-        message=data_profile.DataProfileSpec,
-    )
-    data_discovery_spec: data_discovery.DataDiscoverySpec = proto.Field(
-        proto.MESSAGE,
-        number=102,
-        oneof='spec',
-        message=data_discovery.DataDiscoverySpec,
-    )
-    data_quality_result: data_quality.DataQualityResult = proto.Field(
-        proto.MESSAGE,
-        number=200,
-        oneof='result',
-        message=data_quality.DataQualityResult,
-    )
-    data_profile_result: data_profile.DataProfileResult = proto.Field(
-        proto.MESSAGE,
-        number=201,
-        oneof='result',
-        message=data_profile.DataProfileResult,
-    )
-    data_discovery_result: data_discovery.DataDiscoveryResult = proto.Field(
-        proto.MESSAGE,
-        number=202,
-        oneof='result',
-        message=data_discovery.DataDiscoveryResult,
-    )
-
-
-class DataScanJob(proto.Message):
-    r"""A DataScanJob represents an instance of DataScan execution.
-
-    This message has `oneof`_ fields (mutually exclusive fields).
-    For each oneof, at most one member field can be set at the same time.
-    Setting any member of the oneof automatically clears all other
-    members.
-
-    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
-
-    Attributes:
-        name (str):
-            Output only. The relative resource name of the DataScanJob,
-            of the form:
-            ``projects/{project}/locations/{location_id}/dataScans/{datascan_id}/jobs/{job_id}``,
-            where ``project`` refers to a *project_id* or
-            *project_number* and ``location_id`` refers to a GCP region.
-        uid (str):
-            Output only. System generated globally unique
-            ID for the DataScanJob.
-        create_time (google.protobuf.timestamp_pb2.Timestamp):
-            Output only. The time when the DataScanJob
-            was created.
-        start_time (google.protobuf.timestamp_pb2.Timestamp):
-            Output only. The time when the DataScanJob
-            was started.
-        end_time (google.protobuf.timestamp_pb2.Timestamp):
-            Output only. The time when the DataScanJob
-            ended.
-        state (google.cloud.dataplex_v1.types.DataScanJob.State):
-            Output only. Execution state for the
-            DataScanJob.
-        message (str):
-            Output only. Additional information about the
-            current state.
-        type_ (google.cloud.dataplex_v1.types.DataScanType):
-            Output only. The type of the parent DataScan.
-        data_quality_spec (google.cloud.dataplex_v1.types.DataQualitySpec):
-            Output only. Settings for a data quality
-            scan.
-
-            This field is a member of `oneof`_ ``spec``.
-        data_profile_spec (google.cloud.dataplex_v1.types.DataProfileSpec):
-            Output only. Settings for a data profile
-            scan.
-
-            This field is a member of `oneof`_ ``spec``.
-        data_discovery_spec (google.cloud.dataplex_v1.types.DataDiscoverySpec):
-            Output only. Settings for a data discovery
-            scan.
-
-            This field is a member of `oneof`_ ``spec``.
-        data_quality_result (google.cloud.dataplex_v1.types.DataQualityResult):
-            Output only. The result of a data quality
-            scan.
-
-            This field is a member of `oneof`_ ``result``.
-        data_profile_result (google.cloud.dataplex_v1.types.DataProfileResult):
-            Output only. The result of a data profile
-            scan.
-
-            This field is a member of `oneof`_ ``result``.
-        data_discovery_result (google.cloud.dataplex_v1.types.DataDiscoveryResult):
-            Output only. The result of a data discovery
-            scan.
-
-            This field is a member of `oneof`_ ``result``.
-    """
-    class State(proto.Enum):
-        r"""Execution state for the DataScanJob.
-
-        Values:
-            STATE_UNSPECIFIED (0):
-                The DataScanJob state is unspecified.
-            RUNNING (1):
-                The DataScanJob is running.
-            CANCELING (2):
-                The DataScanJob is canceling.
-            CANCELLED (3):
-                The DataScanJob cancellation was successful.
-            SUCCEEDED (4):
-                The DataScanJob completed successfully.
-            FAILED (5):
-                The DataScanJob is no longer running due to
-                an error.
-            PENDING (7):
-                The DataScanJob has been created but not
-                started to run yet.
-        """
-        STATE_UNSPECIFIED = 0
-        RUNNING = 1
-        CANCELING = 2
-        CANCELLED = 3
-        SUCCEEDED = 4
-        FAILED = 5
-        PENDING = 7
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    uid: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    create_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=8,
-        message=timestamp_pb2.Timestamp,
-    )
-    start_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=3,
-        message=timestamp_pb2.Timestamp,
-    )
-    end_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=4,
-        message=timestamp_pb2.Timestamp,
-    )
-    state: State = proto.Field(
-        proto.ENUM,
-        number=5,
-        enum=State,
-    )
-    message: str = proto.Field(
-        proto.STRING,
-        number=6,
-    )
-    type_: 'DataScanType' = proto.Field(
-        proto.ENUM,
-        number=7,
-        enum='DataScanType',
-    )
-    data_quality_spec: data_quality.DataQualitySpec = proto.Field(
-        proto.MESSAGE,
-        number=100,
-        oneof='spec',
-        message=data_quality.DataQualitySpec,
-    )
-    data_profile_spec: data_profile.DataProfileSpec = proto.Field(
-        proto.MESSAGE,
-        number=101,
-        oneof='spec',
-        message=data_profile.DataProfileSpec,
-    )
-    data_discovery_spec: data_discovery.DataDiscoverySpec = proto.Field(
-        proto.MESSAGE,
-        number=102,
-        oneof='spec',
-        message=data_discovery.DataDiscoverySpec,
-    )
-    data_quality_result: data_quality.DataQualityResult = proto.Field(
-        proto.MESSAGE,
-        number=200,
-        oneof='result',
-        message=data_quality.DataQualityResult,
-    )
-    data_profile_result: data_profile.DataProfileResult = proto.Field(
-        proto.MESSAGE,
-        number=201,
-        oneof='result',
-        message=data_profile.DataProfileResult,
-    )
-    data_discovery_result: data_discovery.DataDiscoveryResult = proto.Field(
-        proto.MESSAGE,
-        number=202,
-        oneof='result',
-        message=data_discovery.DataDiscoveryResult,
-    )
-
-
-__all__ = tuple(sorted(__protobuf__.manifest))
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/logs.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/logs.py
deleted file mode 100644
index 6e4c2bbb0ddb..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/logs.py
+++ /dev/null
@@ -1,1352 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from __future__ import annotations
-
-from typing import MutableMapping, MutableSequence
-
-import proto  # type: ignore
-
-from google.protobuf import duration_pb2  # type: ignore
-from google.protobuf import timestamp_pb2  # type: ignore
-
-
-__protobuf__ = proto.module(
-    package='google.cloud.dataplex.v1',
-    manifest={
-        'DiscoveryEvent',
-        'JobEvent',
-        'SessionEvent',
-        'GovernanceEvent',
-        'DataScanEvent',
-        'DataQualityScanRuleResult',
-    },
-)
-
-
-class DiscoveryEvent(proto.Message):
-    r"""The payload associated with Discovery data processing.
-
-    This message has `oneof`_ fields (mutually exclusive fields).
-    For each oneof, at most one member field can be set at the same time.
-    Setting any member of the oneof automatically clears all other
-    members.
-
-    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
-
-    Attributes:
-        message (str):
-            The log message.
-        lake_id (str):
-            The id of the associated lake.
-        zone_id (str):
-            The id of the associated zone.
-        asset_id (str):
-            The id of the associated asset.
-        data_location (str):
-            The data location associated with the event.
-        datascan_id (str):
-            The id of the associated datascan for
-            standalone discovery.
-        type_ (google.cloud.dataplex_v1.types.DiscoveryEvent.EventType):
-            The type of the event being logged.
-        config (google.cloud.dataplex_v1.types.DiscoveryEvent.ConfigDetails):
-            Details about discovery configuration in
-            effect.
-
-            This field is a member of `oneof`_ ``details``.
-        entity (google.cloud.dataplex_v1.types.DiscoveryEvent.EntityDetails):
-            Details about the entity associated with the
-            event.
-
-            This field is a member of `oneof`_ ``details``.
-        partition (google.cloud.dataplex_v1.types.DiscoveryEvent.PartitionDetails):
-            Details about the partition associated with
-            the event.
-
-            This field is a member of `oneof`_ ``details``.
-        action (google.cloud.dataplex_v1.types.DiscoveryEvent.ActionDetails):
-            Details about the action associated with the
-            event.
-
-            This field is a member of `oneof`_ ``details``.
-        table (google.cloud.dataplex_v1.types.DiscoveryEvent.TableDetails):
-            Details about the BigQuery table publishing
-            associated with the event.
-
-            This field is a member of `oneof`_ ``details``.
-    """
-    class EventType(proto.Enum):
-        r"""The type of the event.
-
-        Values:
-            EVENT_TYPE_UNSPECIFIED (0):
-                An unspecified event type.
-            CONFIG (1):
-                An event representing discovery configuration
-                in effect.
-            ENTITY_CREATED (2):
-                An event representing a metadata entity being
-                created.
-            ENTITY_UPDATED (3):
-                An event representing a metadata entity being
-                updated.
-            ENTITY_DELETED (4):
-                An event representing a metadata entity being
-                deleted.
-            PARTITION_CREATED (5):
-                An event representing a partition being
-                created.
-            PARTITION_UPDATED (6):
-                An event representing a partition being
-                updated.
-            PARTITION_DELETED (7):
-                An event representing a partition being
-                deleted.
-            TABLE_PUBLISHED (10):
-                An event representing a table being
-                published.
-            TABLE_UPDATED (11):
-                An event representing a table being updated.
-            TABLE_IGNORED (12):
-                An event representing a table being skipped
-                in publishing.
-            TABLE_DELETED (13):
-                An event representing a table being deleted.
-        """
-        EVENT_TYPE_UNSPECIFIED = 0
-        CONFIG = 1
-        ENTITY_CREATED = 2
-        ENTITY_UPDATED = 3
-        ENTITY_DELETED = 4
-        PARTITION_CREATED = 5
-        PARTITION_UPDATED = 6
-        PARTITION_DELETED = 7
-        TABLE_PUBLISHED = 10
-        TABLE_UPDATED = 11
-        TABLE_IGNORED = 12
-        TABLE_DELETED = 13
-
-    class EntityType(proto.Enum):
-        r"""The type of the entity.
-
-        Values:
-            ENTITY_TYPE_UNSPECIFIED (0):
-                An unspecified event type.
-            TABLE (1):
-                Entities representing structured data.
-            FILESET (2):
-                Entities representing unstructured data.
-        """
-        ENTITY_TYPE_UNSPECIFIED = 0
-        TABLE = 1
-        FILESET = 2
-
-    class TableType(proto.Enum):
-        r"""The type of the published table.
-
-        Values:
-            TABLE_TYPE_UNSPECIFIED (0):
-                An unspecified table type.
-            EXTERNAL_TABLE (1):
-                External table type.
-            BIGLAKE_TABLE (2):
-                BigLake table type.
-            OBJECT_TABLE (3):
-                Object table type for unstructured data.
-        """
-        TABLE_TYPE_UNSPECIFIED = 0
-        EXTERNAL_TABLE = 1
-        BIGLAKE_TABLE = 2
-        OBJECT_TABLE = 3
-
-    class ConfigDetails(proto.Message):
-        r"""Details about configuration events.
-
-        Attributes:
-            parameters (MutableMapping[str, str]):
-                A list of discovery configuration parameters
-                in effect. The keys are the field paths within
-                DiscoverySpec. Eg. includePatterns,
-                excludePatterns,
-                csvOptions.disableTypeInference, etc.
-        """
-
-        parameters: MutableMapping[str, str] = proto.MapField(
-            proto.STRING,
-            proto.STRING,
-            number=1,
-        )
-
-    class EntityDetails(proto.Message):
-        r"""Details about the entity.
-
-        Attributes:
-            entity (str):
-                The name of the entity resource.
-                The name is the fully-qualified resource name.
-            type_ (google.cloud.dataplex_v1.types.DiscoveryEvent.EntityType):
-                The type of the entity resource.
-        """
-
-        entity: str = proto.Field(
-            proto.STRING,
-            number=1,
-        )
-        type_: 'DiscoveryEvent.EntityType' = proto.Field(
-            proto.ENUM,
-            number=2,
-            enum='DiscoveryEvent.EntityType',
-        )
-
-    class TableDetails(proto.Message):
-        r"""Details about the published table.
-
-        Attributes:
-            table (str):
-                The fully-qualified resource name of the
-                table resource.
-            type_ (google.cloud.dataplex_v1.types.DiscoveryEvent.TableType):
-                The type of the table resource.
-        """
-
-        table: str = proto.Field(
-            proto.STRING,
-            number=1,
-        )
-        type_: 'DiscoveryEvent.TableType' = proto.Field(
-            proto.ENUM,
-            number=2,
-            enum='DiscoveryEvent.TableType',
-        )
-
-    class PartitionDetails(proto.Message):
-        r"""Details about the partition.
-
-        Attributes:
-            partition (str):
-                The name to the partition resource.
-                The name is the fully-qualified resource name.
-            entity (str):
-                The name to the containing entity resource.
-                The name is the fully-qualified resource name.
-            type_ (google.cloud.dataplex_v1.types.DiscoveryEvent.EntityType):
-                The type of the containing entity resource.
-            sampled_data_locations (MutableSequence[str]):
-                The locations of the data items (e.g., a
-                Cloud Storage objects) sampled for metadata
-                inference.
-        """
-
-        partition: str = proto.Field(
-            proto.STRING,
-            number=1,
-        )
-        entity: str = proto.Field(
-            proto.STRING,
-            number=2,
-        )
-        type_: 'DiscoveryEvent.EntityType' = proto.Field(
-            proto.ENUM,
-            number=3,
-            enum='DiscoveryEvent.EntityType',
-        )
-        sampled_data_locations: MutableSequence[str] = proto.RepeatedField(
-            proto.STRING,
-            number=4,
-        )
-
-    class ActionDetails(proto.Message):
-        r"""Details about the action.
-
-        Attributes:
-            type_ (str):
-                The type of action.
-                Eg. IncompatibleDataSchema, InvalidDataFormat
-            issue (str):
-                The human readable issue associated with the
-                action.
-        """
-
-        type_: str = proto.Field(
-            proto.STRING,
-            number=1,
-        )
-        issue: str = proto.Field(
-            proto.STRING,
-            number=2,
-        )
-
-    message: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    lake_id: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    zone_id: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-    asset_id: str = proto.Field(
-        proto.STRING,
-        number=4,
-    )
-    data_location: str = proto.Field(
-        proto.STRING,
-        number=5,
-    )
-    datascan_id: str = proto.Field(
-        proto.STRING,
-        number=6,
-    )
-    type_: EventType = proto.Field(
-        proto.ENUM,
-        number=10,
-        enum=EventType,
-    )
-    config: ConfigDetails = proto.Field(
-        proto.MESSAGE,
-        number=20,
-        oneof='details',
-        message=ConfigDetails,
-    )
-    entity: EntityDetails = proto.Field(
-        proto.MESSAGE,
-        number=21,
-        oneof='details',
-        message=EntityDetails,
-    )
-    partition: PartitionDetails = proto.Field(
-        proto.MESSAGE,
-        number=22,
-        oneof='details',
-        message=PartitionDetails,
-    )
-    action: ActionDetails = proto.Field(
-        proto.MESSAGE,
-        number=23,
-        oneof='details',
-        message=ActionDetails,
-    )
-    table: TableDetails = proto.Field(
-        proto.MESSAGE,
-        number=24,
-        oneof='details',
-        message=TableDetails,
-    )
-
-
-class JobEvent(proto.Message):
-    r"""The payload associated with Job logs that contains events
-    describing jobs that have run within a Lake.
-
-    Attributes:
-        message (str):
-            The log message.
-        job_id (str):
-            The unique id identifying the job.
-        start_time (google.protobuf.timestamp_pb2.Timestamp):
-            The time when the job started running.
-        end_time (google.protobuf.timestamp_pb2.Timestamp):
-            The time when the job ended running.
-        state (google.cloud.dataplex_v1.types.JobEvent.State):
-            The job state on completion.
-        retries (int):
-            The number of retries.
-        type_ (google.cloud.dataplex_v1.types.JobEvent.Type):
-            The type of the job.
-        service (google.cloud.dataplex_v1.types.JobEvent.Service):
-            The service used to execute the job.
-        service_job (str):
-            The reference to the job within the service.
-        execution_trigger (google.cloud.dataplex_v1.types.JobEvent.ExecutionTrigger):
-            Job execution trigger.
-    """
-    class Type(proto.Enum):
-        r"""The type of the job.
-
-        Values:
-            TYPE_UNSPECIFIED (0):
-                Unspecified job type.
-            SPARK (1):
-                Spark jobs.
-            NOTEBOOK (2):
-                Notebook jobs.
-        """
-        TYPE_UNSPECIFIED = 0
-        SPARK = 1
-        NOTEBOOK = 2
-
-    class State(proto.Enum):
-        r"""The completion status of the job.
-
-        Values:
-            STATE_UNSPECIFIED (0):
-                Unspecified job state.
-            SUCCEEDED (1):
-                Job successfully completed.
-            FAILED (2):
-                Job was unsuccessful.
-            CANCELLED (3):
-                Job was cancelled by the user.
-            ABORTED (4):
-                Job was cancelled or aborted via the service
-                executing the job.
-        """
-        STATE_UNSPECIFIED = 0
-        SUCCEEDED = 1
-        FAILED = 2
-        CANCELLED = 3
-        ABORTED = 4
-
-    class Service(proto.Enum):
-        r"""The service used to execute the job.
-
-        Values:
-            SERVICE_UNSPECIFIED (0):
-                Unspecified service.
-            DATAPROC (1):
-                Cloud Dataproc.
-        """
-        SERVICE_UNSPECIFIED = 0
-        DATAPROC = 1
-
-    class ExecutionTrigger(proto.Enum):
-        r"""Job Execution trigger.
-
-        Values:
-            EXECUTION_TRIGGER_UNSPECIFIED (0):
-                The job execution trigger is unspecified.
-            TASK_CONFIG (1):
-                The job was triggered by Dataplex based on
-                trigger spec from task definition.
-            RUN_REQUEST (2):
-                The job was triggered by the explicit call of
-                Task API.
-        """
-        EXECUTION_TRIGGER_UNSPECIFIED = 0
-        TASK_CONFIG = 1
-        RUN_REQUEST = 2
-
-    message: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    job_id: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    start_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=3,
-        message=timestamp_pb2.Timestamp,
-    )
-    end_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=4,
-        message=timestamp_pb2.Timestamp,
-    )
-    state: State = proto.Field(
-        proto.ENUM,
-        number=5,
-        enum=State,
-    )
-    retries: int = proto.Field(
-        proto.INT32,
-        number=6,
-    )
-    type_: Type = proto.Field(
-        proto.ENUM,
-        number=7,
-        enum=Type,
-    )
-    service: Service = proto.Field(
-        proto.ENUM,
-        number=8,
-        enum=Service,
-    )
-    service_job: str = proto.Field(
-        proto.STRING,
-        number=9,
-    )
-    execution_trigger: ExecutionTrigger = proto.Field(
-        proto.ENUM,
-        number=11,
-        enum=ExecutionTrigger,
-    )
-
-
-class SessionEvent(proto.Message):
-    r"""These messages contain information about sessions within an
-    environment. The monitored resource is 'Environment'.
-
-
-    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
-
-    Attributes:
-        message (str):
-            The log message.
-        user_id (str):
-            The information about the user that created
-            the session. It will be the email address of the
-            user.
-        session_id (str):
-            Unique identifier for the session.
-        type_ (google.cloud.dataplex_v1.types.SessionEvent.EventType):
-            The type of the event.
-        query (google.cloud.dataplex_v1.types.SessionEvent.QueryDetail):
-            The execution details of the query.
-
-            This field is a member of `oneof`_ ``detail``.
-        event_succeeded (bool):
-            The status of the event.
-        fast_startup_enabled (bool):
-            If the session is associated with an
-            environment with fast startup enabled, and was
-            created before being assigned to a user.
-        unassigned_duration (google.protobuf.duration_pb2.Duration):
-            The idle duration of a warm pooled session
-            before it is assigned to user.
-    """
-    class EventType(proto.Enum):
-        r"""The type of the event.
-
-        Values:
-            EVENT_TYPE_UNSPECIFIED (0):
-                An unspecified event type.
-            START (1):
-                Event when the session is assigned to a user.
-            STOP (2):
-                Event for stop of a session.
-            QUERY (3):
-                Query events in the session.
-            CREATE (4):
-                Event for creation of a cluster. It is not
-                yet assigned to a user. This comes before START
-                in the sequence
-        """
-        EVENT_TYPE_UNSPECIFIED = 0
-        START = 1
-        STOP = 2
-        QUERY = 3
-        CREATE = 4
-
-    class QueryDetail(proto.Message):
-        r"""Execution details of the query.
-
-        Attributes:
-            query_id (str):
-                The unique Query id identifying the query.
-            query_text (str):
-                The query text executed.
-            engine (google.cloud.dataplex_v1.types.SessionEvent.QueryDetail.Engine):
-                Query Execution engine.
-            duration (google.protobuf.duration_pb2.Duration):
-                Time taken for execution of the query.
-            result_size_bytes (int):
-                The size of results the query produced.
-            data_processed_bytes (int):
-                The data processed by the query.
-        """
-        class Engine(proto.Enum):
-            r"""Query Execution engine.
-
-            Values:
-                ENGINE_UNSPECIFIED (0):
-                    An unspecified Engine type.
-                SPARK_SQL (1):
-                    Spark-sql engine is specified in Query.
-                BIGQUERY (2):
-                    BigQuery engine is specified in Query.
-            """
-            ENGINE_UNSPECIFIED = 0
-            SPARK_SQL = 1
-            BIGQUERY = 2
-
-        query_id: str = proto.Field(
-            proto.STRING,
-            number=1,
-        )
-        query_text: str = proto.Field(
-            proto.STRING,
-            number=2,
-        )
-        engine: 'SessionEvent.QueryDetail.Engine' = proto.Field(
-            proto.ENUM,
-            number=3,
-            enum='SessionEvent.QueryDetail.Engine',
-        )
-        duration: duration_pb2.Duration = proto.Field(
-            proto.MESSAGE,
-            number=4,
-            message=duration_pb2.Duration,
-        )
-        result_size_bytes: int = proto.Field(
-            proto.INT64,
-            number=5,
-        )
-        data_processed_bytes: int = proto.Field(
-            proto.INT64,
-            number=6,
-        )
-
-    message: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    user_id: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    session_id: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-    type_: EventType = proto.Field(
-        proto.ENUM,
-        number=4,
-        enum=EventType,
-    )
-    query: QueryDetail = proto.Field(
-        proto.MESSAGE,
-        number=5,
-        oneof='detail',
-        message=QueryDetail,
-    )
-    event_succeeded: bool = proto.Field(
-        proto.BOOL,
-        number=6,
-    )
-    fast_startup_enabled: bool = proto.Field(
-        proto.BOOL,
-        number=7,
-    )
-    unassigned_duration: duration_pb2.Duration = proto.Field(
-        proto.MESSAGE,
-        number=8,
-        message=duration_pb2.Duration,
-    )
-
-
-class GovernanceEvent(proto.Message):
-    r"""Payload associated with Governance related log events.
-
-    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
-
-    Attributes:
-        message (str):
-            The log message.
-        event_type (google.cloud.dataplex_v1.types.GovernanceEvent.EventType):
-            The type of the event.
-        entity (google.cloud.dataplex_v1.types.GovernanceEvent.Entity):
-            Entity resource information if the log event
-            is associated with a specific entity.
-
-            This field is a member of `oneof`_ ``_entity``.
-    """
-    class EventType(proto.Enum):
-        r"""Type of governance log event.
-
-        Values:
-            EVENT_TYPE_UNSPECIFIED (0):
-                An unspecified event type.
-            RESOURCE_IAM_POLICY_UPDATE (1):
-                Resource IAM policy update event.
-            BIGQUERY_TABLE_CREATE (2):
-                BigQuery table create event.
-            BIGQUERY_TABLE_UPDATE (3):
-                BigQuery table update event.
-            BIGQUERY_TABLE_DELETE (4):
-                BigQuery table delete event.
-            BIGQUERY_CONNECTION_CREATE (5):
-                BigQuery connection create event.
-            BIGQUERY_CONNECTION_UPDATE (6):
-                BigQuery connection update event.
-            BIGQUERY_CONNECTION_DELETE (7):
-                BigQuery connection delete event.
-            BIGQUERY_TAXONOMY_CREATE (10):
-                BigQuery taxonomy created.
-            BIGQUERY_POLICY_TAG_CREATE (11):
-                BigQuery policy tag created.
-            BIGQUERY_POLICY_TAG_DELETE (12):
-                BigQuery policy tag deleted.
-            BIGQUERY_POLICY_TAG_SET_IAM_POLICY (13):
-                BigQuery set iam policy for policy tag.
-            ACCESS_POLICY_UPDATE (14):
-                Access policy update event.
-            GOVERNANCE_RULE_MATCHED_RESOURCES (15):
-                Number of resources matched with particular
-                Query.
-            GOVERNANCE_RULE_SEARCH_LIMIT_EXCEEDS (16):
-                Rule processing exceeds the allowed limit.
-            GOVERNANCE_RULE_ERRORS (17):
-                Rule processing errors.
-            GOVERNANCE_RULE_PROCESSING (18):
-                Governance rule processing Event.
-        """
-        EVENT_TYPE_UNSPECIFIED = 0
-        RESOURCE_IAM_POLICY_UPDATE = 1
-        BIGQUERY_TABLE_CREATE = 2
-        BIGQUERY_TABLE_UPDATE = 3
-        BIGQUERY_TABLE_DELETE = 4
-        BIGQUERY_CONNECTION_CREATE = 5
-        BIGQUERY_CONNECTION_UPDATE = 6
-        BIGQUERY_CONNECTION_DELETE = 7
-        BIGQUERY_TAXONOMY_CREATE = 10
-        BIGQUERY_POLICY_TAG_CREATE = 11
-        BIGQUERY_POLICY_TAG_DELETE = 12
-        BIGQUERY_POLICY_TAG_SET_IAM_POLICY = 13
-        ACCESS_POLICY_UPDATE = 14
-        GOVERNANCE_RULE_MATCHED_RESOURCES = 15
-        GOVERNANCE_RULE_SEARCH_LIMIT_EXCEEDS = 16
-        GOVERNANCE_RULE_ERRORS = 17
-        GOVERNANCE_RULE_PROCESSING = 18
-
-    class Entity(proto.Message):
-        r"""Information about Entity resource that the log event is
-        associated with.
-
-        Attributes:
-            entity (str):
-                The Entity resource the log event is associated with.
-                Format:
-                ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/entities/{entity_id}``
-            entity_type (google.cloud.dataplex_v1.types.GovernanceEvent.Entity.EntityType):
-                Type of entity.
-        """
-        class EntityType(proto.Enum):
-            r"""Type of entity.
-
-            Values:
-                ENTITY_TYPE_UNSPECIFIED (0):
-                    An unspecified Entity type.
-                TABLE (1):
-                    Table entity type.
-                FILESET (2):
-                    Fileset entity type.
-            """
-            ENTITY_TYPE_UNSPECIFIED = 0
-            TABLE = 1
-            FILESET = 2
-
-        entity: str = proto.Field(
-            proto.STRING,
-            number=1,
-        )
-        entity_type: 'GovernanceEvent.Entity.EntityType' = proto.Field(
-            proto.ENUM,
-            number=2,
-            enum='GovernanceEvent.Entity.EntityType',
-        )
-
-    message: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    event_type: EventType = proto.Field(
-        proto.ENUM,
-        number=2,
-        enum=EventType,
-    )
-    entity: Entity = proto.Field(
-        proto.MESSAGE,
-        number=3,
-        optional=True,
-        message=Entity,
-    )
-
-
-class DataScanEvent(proto.Message):
-    r"""These messages contain information about the execution of a
-    datascan. The monitored resource is 'DataScan'
-
-    This message has `oneof`_ fields (mutually exclusive fields).
-    For each oneof, at most one member field can be set at the same time.
-    Setting any member of the oneof automatically clears all other
-    members.
-
-    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
-
-    Attributes:
-        data_source (str):
-            The data source of the data scan
-        job_id (str):
-            The identifier of the specific data scan job
-            this log entry is for.
-        create_time (google.protobuf.timestamp_pb2.Timestamp):
-            The time when the data scan job was created.
-        start_time (google.protobuf.timestamp_pb2.Timestamp):
-            The time when the data scan job started to
-            run.
-        end_time (google.protobuf.timestamp_pb2.Timestamp):
-            The time when the data scan job finished.
-        type_ (google.cloud.dataplex_v1.types.DataScanEvent.ScanType):
-            The type of the data scan.
-        state (google.cloud.dataplex_v1.types.DataScanEvent.State):
-            The status of the data scan job.
-        message (str):
-            The message describing the data scan job
-            event.
-        spec_version (str):
-            A version identifier of the spec which was
-            used to execute this job.
-        trigger (google.cloud.dataplex_v1.types.DataScanEvent.Trigger):
-            The trigger type of the data scan job.
-        scope (google.cloud.dataplex_v1.types.DataScanEvent.Scope):
-            The scope of the data scan (e.g. full,
-            incremental).
-        data_profile (google.cloud.dataplex_v1.types.DataScanEvent.DataProfileResult):
-            Data profile result for data profile type
-            data scan.
-
-            This field is a member of `oneof`_ ``result``.
-        data_quality (google.cloud.dataplex_v1.types.DataScanEvent.DataQualityResult):
-            Data quality result for data quality type
-            data scan.
-
-            This field is a member of `oneof`_ ``result``.
-        data_profile_configs (google.cloud.dataplex_v1.types.DataScanEvent.DataProfileAppliedConfigs):
-            Applied configs for data profile type data
-            scan.
-
-            This field is a member of `oneof`_ ``appliedConfigs``.
-        data_quality_configs (google.cloud.dataplex_v1.types.DataScanEvent.DataQualityAppliedConfigs):
-            Applied configs for data quality type data
-            scan.
-
-            This field is a member of `oneof`_ ``appliedConfigs``.
-        post_scan_actions_result (google.cloud.dataplex_v1.types.DataScanEvent.PostScanActionsResult):
-            The result of post scan actions.
-    """
-    class ScanType(proto.Enum):
-        r"""The type of the data scan.
-
-        Values:
-            SCAN_TYPE_UNSPECIFIED (0):
-                An unspecified data scan type.
-            DATA_PROFILE (1):
-                Data scan for data profile.
-            DATA_QUALITY (2):
-                Data scan for data quality.
-            DATA_DISCOVERY (4):
-                Data scan for data discovery.
-        """
-        SCAN_TYPE_UNSPECIFIED = 0
-        DATA_PROFILE = 1
-        DATA_QUALITY = 2
-        DATA_DISCOVERY = 4
-
-    class State(proto.Enum):
-        r"""The job state of the data scan.
-
-        Values:
-            STATE_UNSPECIFIED (0):
-                Unspecified job state.
-            STARTED (1):
-                Data scan job started.
-            SUCCEEDED (2):
-                Data scan job successfully completed.
-            FAILED (3):
-                Data scan job was unsuccessful.
-            CANCELLED (4):
-                Data scan job was cancelled.
-            CREATED (5):
-                Data scan job was createed.
-        """
-        STATE_UNSPECIFIED = 0
-        STARTED = 1
-        SUCCEEDED = 2
-        FAILED = 3
-        CANCELLED = 4
-        CREATED = 5
-
-    class Trigger(proto.Enum):
-        r"""The trigger type for the data scan.
-
-        Values:
-            TRIGGER_UNSPECIFIED (0):
-                An unspecified trigger type.
-            ON_DEMAND (1):
-                Data scan triggers on demand.
-            SCHEDULE (2):
-                Data scan triggers as per schedule.
-        """
-        TRIGGER_UNSPECIFIED = 0
-        ON_DEMAND = 1
-        SCHEDULE = 2
-
-    class Scope(proto.Enum):
-        r"""The scope of job for the data scan.
-
-        Values:
-            SCOPE_UNSPECIFIED (0):
-                An unspecified scope type.
-            FULL (1):
-                Data scan runs on all of the data.
-            INCREMENTAL (2):
-                Data scan runs on incremental data.
-        """
-        SCOPE_UNSPECIFIED = 0
-        FULL = 1
-        INCREMENTAL = 2
-
-    class DataProfileResult(proto.Message):
-        r"""Data profile result for data scan job.
-
-        Attributes:
-            row_count (int):
-                The count of rows processed in the data scan
-                job.
-        """
-
-        row_count: int = proto.Field(
-            proto.INT64,
-            number=1,
-        )
-
-    class DataQualityResult(proto.Message):
-        r"""Data quality result for data scan job.
-
-        Attributes:
-            row_count (int):
-                The count of rows processed in the data scan
-                job.
-            passed (bool):
-                Whether the data quality result was ``pass`` or not.
-            dimension_passed (MutableMapping[str, bool]):
-                The result of each dimension for data quality result. The
-                key of the map is the name of the dimension. The value is
-                the bool value depicting whether the dimension result was
-                ``pass`` or not.
-            score (float):
-                The table-level data quality score for the data scan job.
-
-                The data quality score ranges between [0, 100] (up to two
-                decimal points).
-            dimension_score (MutableMapping[str, float]):
-                The score of each dimension for data quality result. The key
-                of the map is the name of the dimension. The value is the
-                data quality score for the dimension.
-
-                The score ranges between [0, 100] (up to two decimal
-                points).
-            column_score (MutableMapping[str, float]):
-                The score of each column scanned in the data scan job. The
-                key of the map is the name of the column. The value is the
-                data quality score for the column.
-
-                The score ranges between [0, 100] (up to two decimal
-                points).
-        """
-
-        row_count: int = proto.Field(
-            proto.INT64,
-            number=1,
-        )
-        passed: bool = proto.Field(
-            proto.BOOL,
-            number=2,
-        )
-        dimension_passed: MutableMapping[str, bool] = proto.MapField(
-            proto.STRING,
-            proto.BOOL,
-            number=3,
-        )
-        score: float = proto.Field(
-            proto.FLOAT,
-            number=4,
-        )
-        dimension_score: MutableMapping[str, float] = proto.MapField(
-            proto.STRING,
-            proto.FLOAT,
-            number=5,
-        )
-        column_score: MutableMapping[str, float] = proto.MapField(
-            proto.STRING,
-            proto.FLOAT,
-            number=6,
-        )
-
-    class DataProfileAppliedConfigs(proto.Message):
-        r"""Applied configs for data profile type data scan job.
-
-        Attributes:
-            sampling_percent (float):
-                The percentage of the records selected from the dataset for
-                DataScan.
-
-                -  Value ranges between 0.0 and 100.0.
-                -  Value 0.0 or 100.0 imply that sampling was not applied.
-            row_filter_applied (bool):
-                Boolean indicating whether a row filter was
-                applied in the DataScan job.
-            column_filter_applied (bool):
-                Boolean indicating whether a column filter
-                was applied in the DataScan job.
-        """
-
-        sampling_percent: float = proto.Field(
-            proto.FLOAT,
-            number=1,
-        )
-        row_filter_applied: bool = proto.Field(
-            proto.BOOL,
-            number=2,
-        )
-        column_filter_applied: bool = proto.Field(
-            proto.BOOL,
-            number=3,
-        )
-
-    class DataQualityAppliedConfigs(proto.Message):
-        r"""Applied configs for data quality type data scan job.
-
-        Attributes:
-            sampling_percent (float):
-                The percentage of the records selected from the dataset for
-                DataScan.
-
-                -  Value ranges between 0.0 and 100.0.
-                -  Value 0.0 or 100.0 imply that sampling was not applied.
-            row_filter_applied (bool):
-                Boolean indicating whether a row filter was
-                applied in the DataScan job.
-        """
-
-        sampling_percent: float = proto.Field(
-            proto.FLOAT,
-            number=1,
-        )
-        row_filter_applied: bool = proto.Field(
-            proto.BOOL,
-            number=2,
-        )
-
-    class PostScanActionsResult(proto.Message):
-        r"""Post scan actions result for data scan job.
-
-        Attributes:
-            bigquery_export_result (google.cloud.dataplex_v1.types.DataScanEvent.PostScanActionsResult.BigQueryExportResult):
-                The result of BigQuery export post scan
-                action.
-        """
-
-        class BigQueryExportResult(proto.Message):
-            r"""The result of BigQuery export post scan action.
-
-            Attributes:
-                state (google.cloud.dataplex_v1.types.DataScanEvent.PostScanActionsResult.BigQueryExportResult.State):
-                    Execution state for the BigQuery exporting.
-                message (str):
-                    Additional information about the BigQuery
-                    exporting.
-            """
-            class State(proto.Enum):
-                r"""Execution state for the exporting.
-
-                Values:
-                    STATE_UNSPECIFIED (0):
-                        The exporting state is unspecified.
-                    SUCCEEDED (1):
-                        The exporting completed successfully.
-                    FAILED (2):
-                        The exporting is no longer running due to an
-                        error.
-                    SKIPPED (3):
-                        The exporting is skipped due to no valid scan
-                        result to export (usually caused by scan
-                        failed).
-                """
-                STATE_UNSPECIFIED = 0
-                SUCCEEDED = 1
-                FAILED = 2
-                SKIPPED = 3
-
-            state: 'DataScanEvent.PostScanActionsResult.BigQueryExportResult.State' = proto.Field(
-                proto.ENUM,
-                number=1,
-                enum='DataScanEvent.PostScanActionsResult.BigQueryExportResult.State',
-            )
-            message: str = proto.Field(
-                proto.STRING,
-                number=2,
-            )
-
-        bigquery_export_result: 'DataScanEvent.PostScanActionsResult.BigQueryExportResult' = proto.Field(
-            proto.MESSAGE,
-            number=1,
-            message='DataScanEvent.PostScanActionsResult.BigQueryExportResult',
-        )
-
-    data_source: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    job_id: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    create_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=12,
-        message=timestamp_pb2.Timestamp,
-    )
-    start_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=3,
-        message=timestamp_pb2.Timestamp,
-    )
-    end_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=4,
-        message=timestamp_pb2.Timestamp,
-    )
-    type_: ScanType = proto.Field(
-        proto.ENUM,
-        number=5,
-        enum=ScanType,
-    )
-    state: State = proto.Field(
-        proto.ENUM,
-        number=6,
-        enum=State,
-    )
-    message: str = proto.Field(
-        proto.STRING,
-        number=7,
-    )
-    spec_version: str = proto.Field(
-        proto.STRING,
-        number=8,
-    )
-    trigger: Trigger = proto.Field(
-        proto.ENUM,
-        number=9,
-        enum=Trigger,
-    )
-    scope: Scope = proto.Field(
-        proto.ENUM,
-        number=10,
-        enum=Scope,
-    )
-    data_profile: DataProfileResult = proto.Field(
-        proto.MESSAGE,
-        number=101,
-        oneof='result',
-        message=DataProfileResult,
-    )
-    data_quality: DataQualityResult = proto.Field(
-        proto.MESSAGE,
-        number=102,
-        oneof='result',
-        message=DataQualityResult,
-    )
-    data_profile_configs: DataProfileAppliedConfigs = proto.Field(
-        proto.MESSAGE,
-        number=201,
-        oneof='appliedConfigs',
-        message=DataProfileAppliedConfigs,
-    )
-    data_quality_configs: DataQualityAppliedConfigs = proto.Field(
-        proto.MESSAGE,
-        number=202,
-        oneof='appliedConfigs',
-        message=DataQualityAppliedConfigs,
-    )
-    post_scan_actions_result: PostScanActionsResult = proto.Field(
-        proto.MESSAGE,
-        number=11,
-        message=PostScanActionsResult,
-    )
-
-
-class DataQualityScanRuleResult(proto.Message):
-    r"""Information about the result of a data quality rule for data
-    quality scan. The monitored resource is 'DataScan'.
-
-    Attributes:
-        job_id (str):
-            Identifier of the specific data scan job this
-            log entry is for.
-        data_source (str):
-            The data source of the data scan (e.g.
-            BigQuery table name).
-        column (str):
-            The column which this rule is evaluated
-            against.
-        rule_name (str):
-            The name of the data quality rule.
-        rule_type (google.cloud.dataplex_v1.types.DataQualityScanRuleResult.RuleType):
-            The type of the data quality rule.
-        evalution_type (google.cloud.dataplex_v1.types.DataQualityScanRuleResult.EvaluationType):
-            The evaluation type of the data quality rule.
-        rule_dimension (str):
-            The dimension of the data quality rule.
-        threshold_percent (float):
-            The passing threshold ([0.0, 100.0]) of the data quality
-            rule.
-        result (google.cloud.dataplex_v1.types.DataQualityScanRuleResult.Result):
-            The result of the data quality rule.
-        evaluated_row_count (int):
-            The number of rows evaluated against the data quality rule.
-            This field is only valid for rules of PER_ROW evaluation
-            type.
-        passed_row_count (int):
-            The number of rows which passed a rule evaluation. This
-            field is only valid for rules of PER_ROW evaluation type.
-        null_row_count (int):
-            The number of rows with null values in the
-            specified column.
-        assertion_row_count (int):
-            The number of rows returned by the SQL
-            statement in a SQL assertion rule. This field is
-            only valid for SQL assertion rules.
-    """
-    class RuleType(proto.Enum):
-        r"""The type of the data quality rule.
-
-        Values:
-            RULE_TYPE_UNSPECIFIED (0):
-                An unspecified rule type.
-            NON_NULL_EXPECTATION (1):
-                See
-                [DataQualityRule.NonNullExpectation][google.cloud.dataplex.v1.DataQualityRule.NonNullExpectation].
-            RANGE_EXPECTATION (2):
-                See
-                [DataQualityRule.RangeExpectation][google.cloud.dataplex.v1.DataQualityRule.RangeExpectation].
-            REGEX_EXPECTATION (3):
-                See
-                [DataQualityRule.RegexExpectation][google.cloud.dataplex.v1.DataQualityRule.RegexExpectation].
-            ROW_CONDITION_EXPECTATION (4):
-                See
-                [DataQualityRule.RowConditionExpectation][google.cloud.dataplex.v1.DataQualityRule.RowConditionExpectation].
-            SET_EXPECTATION (5):
-                See
-                [DataQualityRule.SetExpectation][google.cloud.dataplex.v1.DataQualityRule.SetExpectation].
-            STATISTIC_RANGE_EXPECTATION (6):
-                See
-                [DataQualityRule.StatisticRangeExpectation][google.cloud.dataplex.v1.DataQualityRule.StatisticRangeExpectation].
-            TABLE_CONDITION_EXPECTATION (7):
-                See
-                [DataQualityRule.TableConditionExpectation][google.cloud.dataplex.v1.DataQualityRule.TableConditionExpectation].
-            UNIQUENESS_EXPECTATION (8):
-                See
-                [DataQualityRule.UniquenessExpectation][google.cloud.dataplex.v1.DataQualityRule.UniquenessExpectation].
-            SQL_ASSERTION (9):
-                See
-                [DataQualityRule.SqlAssertion][google.cloud.dataplex.v1.DataQualityRule.SqlAssertion].
-        """
-        RULE_TYPE_UNSPECIFIED = 0
-        NON_NULL_EXPECTATION = 1
-        RANGE_EXPECTATION = 2
-        REGEX_EXPECTATION = 3
-        ROW_CONDITION_EXPECTATION = 4
-        SET_EXPECTATION = 5
-        STATISTIC_RANGE_EXPECTATION = 6
-        TABLE_CONDITION_EXPECTATION = 7
-        UNIQUENESS_EXPECTATION = 8
-        SQL_ASSERTION = 9
-
-    class EvaluationType(proto.Enum):
-        r"""The evaluation type of the data quality rule.
-
-        Values:
-            EVALUATION_TYPE_UNSPECIFIED (0):
-                An unspecified evaluation type.
-            PER_ROW (1):
-                The rule evaluation is done at per row level.
-            AGGREGATE (2):
-                The rule evaluation is done for an aggregate
-                of rows.
-        """
-        EVALUATION_TYPE_UNSPECIFIED = 0
-        PER_ROW = 1
-        AGGREGATE = 2
-
-    class Result(proto.Enum):
-        r"""Whether the data quality rule passed or failed.
-
-        Values:
-            RESULT_UNSPECIFIED (0):
-                An unspecified result.
-            PASSED (1):
-                The data quality rule passed.
-            FAILED (2):
-                The data quality rule failed.
-        """
-        RESULT_UNSPECIFIED = 0
-        PASSED = 1
-        FAILED = 2
-
-    job_id: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    data_source: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    column: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-    rule_name: str = proto.Field(
-        proto.STRING,
-        number=4,
-    )
-    rule_type: RuleType = proto.Field(
-        proto.ENUM,
-        number=5,
-        enum=RuleType,
-    )
-    evalution_type: EvaluationType = proto.Field(
-        proto.ENUM,
-        number=6,
-        enum=EvaluationType,
-    )
-    rule_dimension: str = proto.Field(
-        proto.STRING,
-        number=7,
-    )
-    threshold_percent: float = proto.Field(
-        proto.DOUBLE,
-        number=8,
-    )
-    result: Result = proto.Field(
-        proto.ENUM,
-        number=9,
-        enum=Result,
-    )
-    evaluated_row_count: int = proto.Field(
-        proto.INT64,
-        number=10,
-    )
-    passed_row_count: int = proto.Field(
-        proto.INT64,
-        number=11,
-    )
-    null_row_count: int = proto.Field(
-        proto.INT64,
-        number=12,
-    )
-    assertion_row_count: int = proto.Field(
-        proto.INT64,
-        number=13,
-    )
-
-
-__all__ = tuple(sorted(__protobuf__.manifest))
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/metadata_.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/metadata_.py
deleted file mode 100644
index 8d977d572bf0..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/metadata_.py
+++ /dev/null
@@ -1,1182 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from __future__ import annotations
-
-from typing import MutableMapping, MutableSequence
-
-import proto  # type: ignore
-
-from google.protobuf import timestamp_pb2  # type: ignore
-
-
-__protobuf__ = proto.module(
-    package='google.cloud.dataplex.v1',
-    manifest={
-        'StorageSystem',
-        'CreateEntityRequest',
-        'UpdateEntityRequest',
-        'DeleteEntityRequest',
-        'ListEntitiesRequest',
-        'ListEntitiesResponse',
-        'GetEntityRequest',
-        'ListPartitionsRequest',
-        'CreatePartitionRequest',
-        'DeletePartitionRequest',
-        'ListPartitionsResponse',
-        'GetPartitionRequest',
-        'Entity',
-        'Partition',
-        'Schema',
-        'StorageFormat',
-        'StorageAccess',
-    },
-)
-
-
-class StorageSystem(proto.Enum):
-    r"""Identifies the cloud system that manages the data storage.
-
-    Values:
-        STORAGE_SYSTEM_UNSPECIFIED (0):
-            Storage system unspecified.
-        CLOUD_STORAGE (1):
-            The entity data is contained within a Cloud
-            Storage bucket.
-        BIGQUERY (2):
-            The entity data is contained within a
-            BigQuery dataset.
-    """
-    STORAGE_SYSTEM_UNSPECIFIED = 0
-    CLOUD_STORAGE = 1
-    BIGQUERY = 2
-
-
-class CreateEntityRequest(proto.Message):
-    r"""Create a metadata entity request.
-
-    Attributes:
-        parent (str):
-            Required. The resource name of the parent zone:
-            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}``.
-        entity (google.cloud.dataplex_v1.types.Entity):
-            Required. Entity resource.
-        validate_only (bool):
-            Optional. Only validate the request, but do
-            not perform mutations. The default is false.
-    """
-
-    parent: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    entity: 'Entity' = proto.Field(
-        proto.MESSAGE,
-        number=3,
-        message='Entity',
-    )
-    validate_only: bool = proto.Field(
-        proto.BOOL,
-        number=4,
-    )
-
-
-class UpdateEntityRequest(proto.Message):
-    r"""Update a metadata entity request.
-    The exiting entity will be fully replaced by the entity in the
-    request. The entity ID is mutable. To modify the ID, use the
-    current entity ID in the request URL and specify the new ID in
-    the request body.
-
-    Attributes:
-        entity (google.cloud.dataplex_v1.types.Entity):
-            Required. Update description.
-        validate_only (bool):
-            Optional. Only validate the request, but do
-            not perform mutations. The default is false.
-    """
-
-    entity: 'Entity' = proto.Field(
-        proto.MESSAGE,
-        number=2,
-        message='Entity',
-    )
-    validate_only: bool = proto.Field(
-        proto.BOOL,
-        number=3,
-    )
-
-
-class DeleteEntityRequest(proto.Message):
-    r"""Delete a metadata entity request.
-
-    Attributes:
-        name (str):
-            Required. The resource name of the entity:
-            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/entities/{entity_id}``.
-        etag (str):
-            Required. The etag associated with the entity, which can be
-            retrieved with a [GetEntity][] request.
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    etag: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-
-
-class ListEntitiesRequest(proto.Message):
-    r"""List metadata entities request.
-
-    Attributes:
-        parent (str):
-            Required. The resource name of the parent zone:
-            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}``.
-        view (google.cloud.dataplex_v1.types.ListEntitiesRequest.EntityView):
-            Required. Specify the entity view to make a
-            partial list request.
-        page_size (int):
-            Optional. Maximum number of entities to
-            return. The service may return fewer than this
-            value. If unspecified, 100 entities will be
-            returned by default. The maximum value is 500;
-            larger values will will be truncated to 500.
-        page_token (str):
-            Optional. Page token received from a previous
-            ``ListEntities`` call. Provide this to retrieve the
-            subsequent page. When paginating, all other parameters
-            provided to ``ListEntities`` must match the call that
-            provided the page token.
-        filter (str):
-            Optional. The following filter parameters can be added to
-            the URL to limit the entities returned by the API:
-
-            -  Entity ID: ?filter="id=entityID"
-            -  Asset ID: ?filter="asset=assetID"
-            -  Data path ?filter="data_path=gs://my-bucket"
-            -  Is HIVE compatible: ?filter="hive_compatible=true"
-            -  Is BigQuery compatible:
-               ?filter="bigquery_compatible=true".
-    """
-    class EntityView(proto.Enum):
-        r"""Entity views.
-
-        Values:
-            ENTITY_VIEW_UNSPECIFIED (0):
-                The default unset value. Return both table
-                and fileset entities if unspecified.
-            TABLES (1):
-                Only list table entities.
-            FILESETS (2):
-                Only list fileset entities.
-        """
-        ENTITY_VIEW_UNSPECIFIED = 0
-        TABLES = 1
-        FILESETS = 2
-
-    parent: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    view: EntityView = proto.Field(
-        proto.ENUM,
-        number=2,
-        enum=EntityView,
-    )
-    page_size: int = proto.Field(
-        proto.INT32,
-        number=3,
-    )
-    page_token: str = proto.Field(
-        proto.STRING,
-        number=4,
-    )
-    filter: str = proto.Field(
-        proto.STRING,
-        number=5,
-    )
-
-
-class ListEntitiesResponse(proto.Message):
-    r"""List metadata entities response.
-
-    Attributes:
-        entities (MutableSequence[google.cloud.dataplex_v1.types.Entity]):
-            Entities in the specified parent zone.
-        next_page_token (str):
-            Token to retrieve the next page of results,
-            or empty if there are no remaining results in
-            the list.
-    """
-
-    @property
-    def raw_page(self):
-        return self
-
-    entities: MutableSequence['Entity'] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=1,
-        message='Entity',
-    )
-    next_page_token: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-
-
-class GetEntityRequest(proto.Message):
-    r"""Get metadata entity request.
-
-    Attributes:
-        name (str):
-            Required. The resource name of the entity:
-            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/entities/{entity_id}.``
-        view (google.cloud.dataplex_v1.types.GetEntityRequest.EntityView):
-            Optional. Used to select the subset of entity information to
-            return. Defaults to ``BASIC``.
-    """
-    class EntityView(proto.Enum):
-        r"""Entity views for get entity partial result.
-
-        Values:
-            ENTITY_VIEW_UNSPECIFIED (0):
-                The API will default to the ``BASIC`` view.
-            BASIC (1):
-                Minimal view that does not include the
-                schema.
-            SCHEMA (2):
-                Include basic information and schema.
-            FULL (4):
-                Include everything. Currently, this is the
-                same as the SCHEMA view.
-        """
-        ENTITY_VIEW_UNSPECIFIED = 0
-        BASIC = 1
-        SCHEMA = 2
-        FULL = 4
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    view: EntityView = proto.Field(
-        proto.ENUM,
-        number=2,
-        enum=EntityView,
-    )
-
-
-class ListPartitionsRequest(proto.Message):
-    r"""List metadata partitions request.
-
-    Attributes:
-        parent (str):
-            Required. The resource name of the parent entity:
-            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/entities/{entity_id}``.
-        page_size (int):
-            Optional. Maximum number of partitions to
-            return. The service may return fewer than this
-            value. If unspecified, 100 partitions will be
-            returned by default. The maximum page size is
-            500; larger values will will be truncated to
-            500.
-        page_token (str):
-            Optional. Page token received from a previous
-            ``ListPartitions`` call. Provide this to retrieve the
-            subsequent page. When paginating, all other parameters
-            provided to ``ListPartitions`` must match the call that
-            provided the page token.
-        filter (str):
-            Optional. Filter the partitions returned to the caller using
-            a key value pair expression. Supported operators and syntax:
-
-            -  logic operators: AND, OR
-            -  comparison operators: <, >, >=, <= ,=, !=
-            -  LIKE operators:
-
-               -  The right hand of a LIKE operator supports "." and "*"
-                  for wildcard searches, for example "value1 LIKE
-                  ".*oo.*"
-
-            -  parenthetical grouping: ( )
-
-            Sample filter expression: \`?filter="key1 < value1 OR key2 >
-            value2"
-
-            **Notes:**
-
-            -  Keys to the left of operators are case insensitive.
-            -  Partition results are sorted first by creation time, then
-               by lexicographic order.
-            -  Up to 20 key value filter pairs are allowed, but due to
-               performance considerations, only the first 10 will be
-               used as a filter.
-    """
-
-    parent: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    page_size: int = proto.Field(
-        proto.INT32,
-        number=2,
-    )
-    page_token: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-    filter: str = proto.Field(
-        proto.STRING,
-        number=4,
-    )
-
-
-class CreatePartitionRequest(proto.Message):
-    r"""Create metadata partition request.
-
-    Attributes:
-        parent (str):
-            Required. The resource name of the parent zone:
-            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/entities/{entity_id}``.
-        partition (google.cloud.dataplex_v1.types.Partition):
-            Required. Partition resource.
-        validate_only (bool):
-            Optional. Only validate the request, but do
-            not perform mutations. The default is false.
-    """
-
-    parent: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    partition: 'Partition' = proto.Field(
-        proto.MESSAGE,
-        number=3,
-        message='Partition',
-    )
-    validate_only: bool = proto.Field(
-        proto.BOOL,
-        number=4,
-    )
-
-
-class DeletePartitionRequest(proto.Message):
-    r"""Delete metadata partition request.
-
-    Attributes:
-        name (str):
-            Required. The resource name of the partition. format:
-            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/entities/{entity_id}/partitions/{partition_value_path}``.
-            The {partition_value_path} segment consists of an ordered
-            sequence of partition values separated by "/". All values
-            must be provided.
-        etag (str):
-            Optional. The etag associated with the
-            partition.
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    etag: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-
-
-class ListPartitionsResponse(proto.Message):
-    r"""List metadata partitions response.
-
-    Attributes:
-        partitions (MutableSequence[google.cloud.dataplex_v1.types.Partition]):
-            Partitions under the specified parent entity.
-        next_page_token (str):
-            Token to retrieve the next page of results,
-            or empty if there are no remaining results in
-            the list.
-    """
-
-    @property
-    def raw_page(self):
-        return self
-
-    partitions: MutableSequence['Partition'] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=1,
-        message='Partition',
-    )
-    next_page_token: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-
-
-class GetPartitionRequest(proto.Message):
-    r"""Get metadata partition request.
-
-    Attributes:
-        name (str):
-            Required. The resource name of the partition:
-            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/entities/{entity_id}/partitions/{partition_value_path}``.
-            The {partition_value_path} segment consists of an ordered
-            sequence of partition values separated by "/". All values
-            must be provided.
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-
-
-class Entity(proto.Message):
-    r"""Represents tables and fileset metadata contained within a
-    zone.
-
-    Attributes:
-        name (str):
-            Output only. The resource name of the entity, of the form:
-            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/entities/{id}``.
-        display_name (str):
-            Optional. Display name must be shorter than
-            or equal to 256 characters.
-        description (str):
-            Optional. User friendly longer description
-            text. Must be shorter than or equal to 1024
-            characters.
-        create_time (google.protobuf.timestamp_pb2.Timestamp):
-            Output only. The time when the entity was
-            created.
-        update_time (google.protobuf.timestamp_pb2.Timestamp):
-            Output only. The time when the entity was
-            last updated.
-        id (str):
-            Required. A user-provided entity ID. It is
-            mutable, and will be used as the published table
-            name. Specifying a new ID in an update entity
-            request will override the existing value.
-            The ID must contain only letters (a-z, A-Z),
-            numbers (0-9), and underscores, and consist of
-            256 or fewer characters.
-        etag (str):
-            Optional. The etag associated with the entity, which can be
-            retrieved with a [GetEntity][] request. Required for update
-            and delete requests.
-        type_ (google.cloud.dataplex_v1.types.Entity.Type):
-            Required. Immutable. The type of entity.
-        asset (str):
-            Required. Immutable. The ID of the asset
-            associated with the storage location containing
-            the entity data. The entity must be with in the
-            same zone with the asset.
-        data_path (str):
-            Required. Immutable. The storage path of the entity data.
-            For Cloud Storage data, this is the fully-qualified path to
-            the entity, such as ``gs://bucket/path/to/data``. For
-            BigQuery data, this is the name of the table resource, such
-            as
-            ``projects/project_id/datasets/dataset_id/tables/table_id``.
-        data_path_pattern (str):
-            Optional. The set of items within the data path constituting
-            the data in the entity, represented as a glob path. Example:
-            ``gs://bucket/path/to/data/**/*.csv``.
-        catalog_entry (str):
-            Output only. The name of the associated Data
-            Catalog entry.
-        system (google.cloud.dataplex_v1.types.StorageSystem):
-            Required. Immutable. Identifies the storage
-            system of the entity data.
-        format_ (google.cloud.dataplex_v1.types.StorageFormat):
-            Required. Identifies the storage format of
-            the entity data. It does not apply to entities
-            with data stored in BigQuery.
-        compatibility (google.cloud.dataplex_v1.types.Entity.CompatibilityStatus):
-            Output only. Metadata stores that the entity
-            is compatible with.
-        access (google.cloud.dataplex_v1.types.StorageAccess):
-            Output only. Identifies the access mechanism
-            to the entity. Not user settable.
-        uid (str):
-            Output only. System generated unique ID for
-            the Entity. This ID will be different if the
-            Entity is deleted and re-created with the same
-            name.
-        schema (google.cloud.dataplex_v1.types.Schema):
-            Required. The description of the data structure and layout.
-            The schema is not included in list responses. It is only
-            included in ``SCHEMA`` and ``FULL`` entity views of a
-            ``GetEntity`` response.
-    """
-    class Type(proto.Enum):
-        r"""The type of entity.
-
-        Values:
-            TYPE_UNSPECIFIED (0):
-                Type unspecified.
-            TABLE (1):
-                Structured and semi-structured data.
-            FILESET (2):
-                Unstructured data.
-        """
-        TYPE_UNSPECIFIED = 0
-        TABLE = 1
-        FILESET = 2
-
-    class CompatibilityStatus(proto.Message):
-        r"""Provides compatibility information for various metadata
-        stores.
-
-        Attributes:
-            hive_metastore (google.cloud.dataplex_v1.types.Entity.CompatibilityStatus.Compatibility):
-                Output only. Whether this entity is
-                compatible with Hive Metastore.
-            bigquery (google.cloud.dataplex_v1.types.Entity.CompatibilityStatus.Compatibility):
-                Output only. Whether this entity is
-                compatible with BigQuery.
-        """
-
-        class Compatibility(proto.Message):
-            r"""Provides compatibility information for a specific metadata
-            store.
-
-            Attributes:
-                compatible (bool):
-                    Output only. Whether the entity is compatible
-                    and can be represented in the metadata store.
-                reason (str):
-                    Output only. Provides additional detail if
-                    the entity is incompatible with the metadata
-                    store.
-            """
-
-            compatible: bool = proto.Field(
-                proto.BOOL,
-                number=1,
-            )
-            reason: str = proto.Field(
-                proto.STRING,
-                number=2,
-            )
-
-        hive_metastore: 'Entity.CompatibilityStatus.Compatibility' = proto.Field(
-            proto.MESSAGE,
-            number=1,
-            message='Entity.CompatibilityStatus.Compatibility',
-        )
-        bigquery: 'Entity.CompatibilityStatus.Compatibility' = proto.Field(
-            proto.MESSAGE,
-            number=2,
-            message='Entity.CompatibilityStatus.Compatibility',
-        )
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    display_name: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    description: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-    create_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=5,
-        message=timestamp_pb2.Timestamp,
-    )
-    update_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=6,
-        message=timestamp_pb2.Timestamp,
-    )
-    id: str = proto.Field(
-        proto.STRING,
-        number=7,
-    )
-    etag: str = proto.Field(
-        proto.STRING,
-        number=8,
-    )
-    type_: Type = proto.Field(
-        proto.ENUM,
-        number=10,
-        enum=Type,
-    )
-    asset: str = proto.Field(
-        proto.STRING,
-        number=11,
-    )
-    data_path: str = proto.Field(
-        proto.STRING,
-        number=12,
-    )
-    data_path_pattern: str = proto.Field(
-        proto.STRING,
-        number=13,
-    )
-    catalog_entry: str = proto.Field(
-        proto.STRING,
-        number=14,
-    )
-    system: 'StorageSystem' = proto.Field(
-        proto.ENUM,
-        number=15,
-        enum='StorageSystem',
-    )
-    format_: 'StorageFormat' = proto.Field(
-        proto.MESSAGE,
-        number=16,
-        message='StorageFormat',
-    )
-    compatibility: CompatibilityStatus = proto.Field(
-        proto.MESSAGE,
-        number=19,
-        message=CompatibilityStatus,
-    )
-    access: 'StorageAccess' = proto.Field(
-        proto.MESSAGE,
-        number=21,
-        message='StorageAccess',
-    )
-    uid: str = proto.Field(
-        proto.STRING,
-        number=22,
-    )
-    schema: 'Schema' = proto.Field(
-        proto.MESSAGE,
-        number=50,
-        message='Schema',
-    )
-
-
-class Partition(proto.Message):
-    r"""Represents partition metadata contained within entity
-    instances.
-
-    Attributes:
-        name (str):
-            Output only. Partition values used in the HTTP URL must be
-            double encoded. For example,
-            ``url_encode(url_encode(value))`` can be used to encode
-            "US:CA/CA#Sunnyvale so that the request URL ends with
-            "/partitions/US%253ACA/CA%2523Sunnyvale". The name field in
-            the response retains the encoded format.
-        values (MutableSequence[str]):
-            Required. Immutable. The set of values
-            representing the partition, which correspond to
-            the partition schema defined in the parent
-            entity.
-        location (str):
-            Required. Immutable. The location of the entity data within
-            the partition, for example,
-            ``gs://bucket/path/to/entity/key1=value1/key2=value2``. Or
-            ``projects/<project_id>/datasets/<dataset_id>/tables/<table_id>``
-        etag (str):
-            Optional. The etag for this partition.
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    values: MutableSequence[str] = proto.RepeatedField(
-        proto.STRING,
-        number=2,
-    )
-    location: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-    etag: str = proto.Field(
-        proto.STRING,
-        number=4,
-    )
-
-
-class Schema(proto.Message):
-    r"""Schema information describing the structure and layout of the
-    data.
-
-    Attributes:
-        user_managed (bool):
-            Required. Set to ``true`` if user-managed or ``false`` if
-            managed by Dataplex. The default is ``false`` (managed by
-            Dataplex).
-
-            -  Set to ``false``\ to enable Dataplex discovery to update
-               the schema. including new data discovery, schema
-               inference, and schema evolution. Users retain the ability
-               to input and edit the schema. Dataplex treats schema
-               input by the user as though produced by a previous
-               Dataplex discovery operation, and it will evolve the
-               schema and take action based on that treatment.
-
-            -  Set to ``true`` to fully manage the entity schema. This
-               setting guarantees that Dataplex will not change schema
-               fields.
-        fields (MutableSequence[google.cloud.dataplex_v1.types.Schema.SchemaField]):
-            Optional. The sequence of fields describing data in table
-            entities. **Note:** BigQuery SchemaFields are immutable.
-        partition_fields (MutableSequence[google.cloud.dataplex_v1.types.Schema.PartitionField]):
-            Optional. The sequence of fields describing
-            the partition structure in entities. If this
-            field is empty, there are no partitions within
-            the data.
-        partition_style (google.cloud.dataplex_v1.types.Schema.PartitionStyle):
-            Optional. The structure of paths containing
-            partition data within the entity.
-    """
-    class Type(proto.Enum):
-        r"""Type information for fields in schemas and partition schemas.
-
-        Values:
-            TYPE_UNSPECIFIED (0):
-                SchemaType unspecified.
-            BOOLEAN (1):
-                Boolean field.
-            BYTE (2):
-                Single byte numeric field.
-            INT16 (3):
-                16-bit numeric field.
-            INT32 (4):
-                32-bit numeric field.
-            INT64 (5):
-                64-bit numeric field.
-            FLOAT (6):
-                Floating point numeric field.
-            DOUBLE (7):
-                Double precision numeric field.
-            DECIMAL (8):
-                Real value numeric field.
-            STRING (9):
-                Sequence of characters field.
-            BINARY (10):
-                Sequence of bytes field.
-            TIMESTAMP (11):
-                Date and time field.
-            DATE (12):
-                Date field.
-            TIME (13):
-                Time field.
-            RECORD (14):
-                Structured field. Nested fields that define
-                the structure of the map. If all nested fields
-                are nullable, this field represents a union.
-            NULL (100):
-                Null field that does not have values.
-        """
-        TYPE_UNSPECIFIED = 0
-        BOOLEAN = 1
-        BYTE = 2
-        INT16 = 3
-        INT32 = 4
-        INT64 = 5
-        FLOAT = 6
-        DOUBLE = 7
-        DECIMAL = 8
-        STRING = 9
-        BINARY = 10
-        TIMESTAMP = 11
-        DATE = 12
-        TIME = 13
-        RECORD = 14
-        NULL = 100
-
-    class Mode(proto.Enum):
-        r"""Additional qualifiers to define field semantics.
-
-        Values:
-            MODE_UNSPECIFIED (0):
-                Mode unspecified.
-            REQUIRED (1):
-                The field has required semantics.
-            NULLABLE (2):
-                The field has optional semantics, and may be
-                null.
-            REPEATED (3):
-                The field has repeated (0 or more) semantics,
-                and is a list of values.
-        """
-        MODE_UNSPECIFIED = 0
-        REQUIRED = 1
-        NULLABLE = 2
-        REPEATED = 3
-
-    class PartitionStyle(proto.Enum):
-        r"""The structure of paths within the entity, which represent
-        partitions.
-
-        Values:
-            PARTITION_STYLE_UNSPECIFIED (0):
-                PartitionStyle unspecified
-            HIVE_COMPATIBLE (1):
-                Partitions are hive-compatible. Examples:
-                ``gs://bucket/path/to/table/dt=2019-10-31/lang=en``,
-                ``gs://bucket/path/to/table/dt=2019-10-31/lang=en/late``.
-        """
-        PARTITION_STYLE_UNSPECIFIED = 0
-        HIVE_COMPATIBLE = 1
-
-    class SchemaField(proto.Message):
-        r"""Represents a column field within a table schema.
-
-        Attributes:
-            name (str):
-                Required. The name of the field. Must contain
-                only letters, numbers and underscores, with a
-                maximum length of 767 characters, and must begin
-                with a letter or underscore.
-            description (str):
-                Optional. User friendly field description.
-                Must be less than or equal to 1024 characters.
-            type_ (google.cloud.dataplex_v1.types.Schema.Type):
-                Required. The type of field.
-            mode (google.cloud.dataplex_v1.types.Schema.Mode):
-                Required. Additional field semantics.
-            fields (MutableSequence[google.cloud.dataplex_v1.types.Schema.SchemaField]):
-                Optional. Any nested field for complex types.
-        """
-
-        name: str = proto.Field(
-            proto.STRING,
-            number=1,
-        )
-        description: str = proto.Field(
-            proto.STRING,
-            number=2,
-        )
-        type_: 'Schema.Type' = proto.Field(
-            proto.ENUM,
-            number=3,
-            enum='Schema.Type',
-        )
-        mode: 'Schema.Mode' = proto.Field(
-            proto.ENUM,
-            number=4,
-            enum='Schema.Mode',
-        )
-        fields: MutableSequence['Schema.SchemaField'] = proto.RepeatedField(
-            proto.MESSAGE,
-            number=10,
-            message='Schema.SchemaField',
-        )
-
-    class PartitionField(proto.Message):
-        r"""Represents a key field within the entity's partition structure. You
-        could have up to 20 partition fields, but only the first 10
-        partitions have the filtering ability due to performance
-        consideration. **Note:** Partition fields are immutable.
-
-        Attributes:
-            name (str):
-                Required. Partition field name must consist
-                of letters, numbers, and underscores only, with
-                a maximum of length of 256 characters, and must
-                begin with a letter or underscore..
-            type_ (google.cloud.dataplex_v1.types.Schema.Type):
-                Required. Immutable. The type of field.
-        """
-
-        name: str = proto.Field(
-            proto.STRING,
-            number=1,
-        )
-        type_: 'Schema.Type' = proto.Field(
-            proto.ENUM,
-            number=2,
-            enum='Schema.Type',
-        )
-
-    user_managed: bool = proto.Field(
-        proto.BOOL,
-        number=1,
-    )
-    fields: MutableSequence[SchemaField] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=2,
-        message=SchemaField,
-    )
-    partition_fields: MutableSequence[PartitionField] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=3,
-        message=PartitionField,
-    )
-    partition_style: PartitionStyle = proto.Field(
-        proto.ENUM,
-        number=4,
-        enum=PartitionStyle,
-    )
-
-
-class StorageFormat(proto.Message):
-    r"""Describes the format of the data within its storage location.
-
-    This message has `oneof`_ fields (mutually exclusive fields).
-    For each oneof, at most one member field can be set at the same time.
-    Setting any member of the oneof automatically clears all other
-    members.
-
-    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
-
-    Attributes:
-        format_ (google.cloud.dataplex_v1.types.StorageFormat.Format):
-            Output only. The data format associated with
-            the stored data, which represents content type
-            values. The value is inferred from mime type.
-        compression_format (google.cloud.dataplex_v1.types.StorageFormat.CompressionFormat):
-            Optional. The compression type associated
-            with the stored data. If unspecified, the data
-            is uncompressed.
-        mime_type (str):
-            Required. The mime type descriptor for the
-            data. Must match the pattern {type}/{subtype}.
-            Supported values:
-
-            - application/x-parquet
-            - application/x-avro
-            - application/x-orc
-            - application/x-tfrecord
-            - application/x-parquet+iceberg
-            - application/x-avro+iceberg
-            - application/x-orc+iceberg
-            - application/json
-            - application/{subtypes}
-            - text/csv
-            - text/<subtypes>
-            - image/{image subtype}
-            - video/{video subtype}
-            - audio/{audio subtype}
-        csv (google.cloud.dataplex_v1.types.StorageFormat.CsvOptions):
-            Optional. Additional information about CSV
-            formatted data.
-
-            This field is a member of `oneof`_ ``options``.
-        json (google.cloud.dataplex_v1.types.StorageFormat.JsonOptions):
-            Optional. Additional information about CSV
-            formatted data.
-
-            This field is a member of `oneof`_ ``options``.
-        iceberg (google.cloud.dataplex_v1.types.StorageFormat.IcebergOptions):
-            Optional. Additional information about
-            iceberg tables.
-
-            This field is a member of `oneof`_ ``options``.
-    """
-    class Format(proto.Enum):
-        r"""The specific file format of the data.
-
-        Values:
-            FORMAT_UNSPECIFIED (0):
-                Format unspecified.
-            PARQUET (1):
-                Parquet-formatted structured data.
-            AVRO (2):
-                Avro-formatted structured data.
-            ORC (3):
-                Orc-formatted structured data.
-            CSV (100):
-                Csv-formatted semi-structured data.
-            JSON (101):
-                Json-formatted semi-structured data.
-            IMAGE (200):
-                Image data formats (such as jpg and png).
-            AUDIO (201):
-                Audio data formats (such as mp3, and wav).
-            VIDEO (202):
-                Video data formats (such as mp4 and mpg).
-            TEXT (203):
-                Textual data formats (such as txt and xml).
-            TFRECORD (204):
-                TensorFlow record format.
-            OTHER (1000):
-                Data that doesn't match a specific format.
-            UNKNOWN (1001):
-                Data of an unknown format.
-        """
-        FORMAT_UNSPECIFIED = 0
-        PARQUET = 1
-        AVRO = 2
-        ORC = 3
-        CSV = 100
-        JSON = 101
-        IMAGE = 200
-        AUDIO = 201
-        VIDEO = 202
-        TEXT = 203
-        TFRECORD = 204
-        OTHER = 1000
-        UNKNOWN = 1001
-
-    class CompressionFormat(proto.Enum):
-        r"""The specific compressed file format of the data.
-
-        Values:
-            COMPRESSION_FORMAT_UNSPECIFIED (0):
-                CompressionFormat unspecified. Implies
-                uncompressed data.
-            GZIP (2):
-                GZip compressed set of files.
-            BZIP2 (3):
-                BZip2 compressed set of files.
-        """
-        COMPRESSION_FORMAT_UNSPECIFIED = 0
-        GZIP = 2
-        BZIP2 = 3
-
-    class CsvOptions(proto.Message):
-        r"""Describes CSV and similar semi-structured data formats.
-
-        Attributes:
-            encoding (str):
-                Optional. The character encoding of the data.
-                Accepts "US-ASCII", "UTF-8", and "ISO-8859-1".
-                Defaults to UTF-8 if unspecified.
-            header_rows (int):
-                Optional. The number of rows to interpret as
-                header rows that should be skipped when reading
-                data rows. Defaults to 0.
-            delimiter (str):
-                Optional. The delimiter used to separate
-                values. Defaults to ','.
-            quote (str):
-                Optional. The character used to quote column
-                values. Accepts '"' (double quotation mark) or
-                ''' (single quotation mark). Defaults to '"'
-                (double quotation mark) if unspecified.
-        """
-
-        encoding: str = proto.Field(
-            proto.STRING,
-            number=1,
-        )
-        header_rows: int = proto.Field(
-            proto.INT32,
-            number=2,
-        )
-        delimiter: str = proto.Field(
-            proto.STRING,
-            number=3,
-        )
-        quote: str = proto.Field(
-            proto.STRING,
-            number=4,
-        )
-
-    class JsonOptions(proto.Message):
-        r"""Describes JSON data format.
-
-        Attributes:
-            encoding (str):
-                Optional. The character encoding of the data.
-                Accepts "US-ASCII", "UTF-8" and "ISO-8859-1".
-                Defaults to UTF-8 if not specified.
-        """
-
-        encoding: str = proto.Field(
-            proto.STRING,
-            number=1,
-        )
-
-    class IcebergOptions(proto.Message):
-        r"""Describes Iceberg data format.
-
-        Attributes:
-            metadata_location (str):
-                Optional. The location of where the iceberg
-                metadata is present, must be within the table
-                path
-        """
-
-        metadata_location: str = proto.Field(
-            proto.STRING,
-            number=1,
-        )
-
-    format_: Format = proto.Field(
-        proto.ENUM,
-        number=1,
-        enum=Format,
-    )
-    compression_format: CompressionFormat = proto.Field(
-        proto.ENUM,
-        number=2,
-        enum=CompressionFormat,
-    )
-    mime_type: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-    csv: CsvOptions = proto.Field(
-        proto.MESSAGE,
-        number=10,
-        oneof='options',
-        message=CsvOptions,
-    )
-    json: JsonOptions = proto.Field(
-        proto.MESSAGE,
-        number=11,
-        oneof='options',
-        message=JsonOptions,
-    )
-    iceberg: IcebergOptions = proto.Field(
-        proto.MESSAGE,
-        number=12,
-        oneof='options',
-        message=IcebergOptions,
-    )
-
-
-class StorageAccess(proto.Message):
-    r"""Describes the access mechanism of the data within its storage
-    location.
-
-    Attributes:
-        read (google.cloud.dataplex_v1.types.StorageAccess.AccessMode):
-            Output only. Describes the read access
-            mechanism of the data. Not user settable.
-    """
-    class AccessMode(proto.Enum):
-        r"""Access Mode determines how data stored within the Entity is
-        read.
-
-        Values:
-            ACCESS_MODE_UNSPECIFIED (0):
-                Access mode unspecified.
-            DIRECT (1):
-                Default. Data is accessed directly using
-                storage APIs.
-            MANAGED (2):
-                Data is accessed through a managed interface
-                using BigQuery APIs.
-        """
-        ACCESS_MODE_UNSPECIFIED = 0
-        DIRECT = 1
-        MANAGED = 2
-
-    read: AccessMode = proto.Field(
-        proto.ENUM,
-        number=21,
-        enum=AccessMode,
-    )
-
-
-__all__ = tuple(sorted(__protobuf__.manifest))
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/processing.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/processing.py
deleted file mode 100644
index 4e88739fa5ce..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/processing.py
+++ /dev/null
@@ -1,186 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from __future__ import annotations
-
-from typing import MutableMapping, MutableSequence
-
-import proto  # type: ignore
-
-
-__protobuf__ = proto.module(
-    package='google.cloud.dataplex.v1',
-    manifest={
-        'Trigger',
-        'DataSource',
-        'ScannedData',
-    },
-)
-
-
-class Trigger(proto.Message):
-    r"""DataScan scheduling and trigger settings.
-
-    This message has `oneof`_ fields (mutually exclusive fields).
-    For each oneof, at most one member field can be set at the same time.
-    Setting any member of the oneof automatically clears all other
-    members.
-
-    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
-
-    Attributes:
-        on_demand (google.cloud.dataplex_v1.types.Trigger.OnDemand):
-            The scan runs once via ``RunDataScan`` API.
-
-            This field is a member of `oneof`_ ``mode``.
-        schedule (google.cloud.dataplex_v1.types.Trigger.Schedule):
-            The scan is scheduled to run periodically.
-
-            This field is a member of `oneof`_ ``mode``.
-    """
-
-    class OnDemand(proto.Message):
-        r"""The scan runs once via ``RunDataScan`` API.
-        """
-
-    class Schedule(proto.Message):
-        r"""The scan is scheduled to run periodically.
-
-        Attributes:
-            cron (str):
-                Required. `Cron <https://en.wikipedia.org/wiki/Cron>`__
-                schedule for running scans periodically.
-
-                To explicitly set a timezone in the cron tab, apply a prefix
-                in the cron tab: **"CRON_TZ=${IANA_TIME_ZONE}"** or
-                **"TZ=${IANA_TIME_ZONE}"**. The **${IANA_TIME_ZONE}** may
-                only be a valid string from IANA time zone database
-                (`wikipedia <https://en.wikipedia.org/wiki/List_of_tz_database_time_zones#List>`__).
-                For example, ``CRON_TZ=America/New_York 1 * * * *``, or
-                ``TZ=America/New_York 1 * * * *``.
-
-                This field is required for Schedule scans.
-        """
-
-        cron: str = proto.Field(
-            proto.STRING,
-            number=1,
-        )
-
-    on_demand: OnDemand = proto.Field(
-        proto.MESSAGE,
-        number=100,
-        oneof='mode',
-        message=OnDemand,
-    )
-    schedule: Schedule = proto.Field(
-        proto.MESSAGE,
-        number=101,
-        oneof='mode',
-        message=Schedule,
-    )
-
-
-class DataSource(proto.Message):
-    r"""The data source for DataScan.
-
-    This message has `oneof`_ fields (mutually exclusive fields).
-    For each oneof, at most one member field can be set at the same time.
-    Setting any member of the oneof automatically clears all other
-    members.
-
-    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
-
-    Attributes:
-        entity (str):
-            Immutable. The Dataplex entity that represents the data
-            source (e.g. BigQuery table) for DataScan, of the form:
-            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/entities/{entity_id}``.
-
-            This field is a member of `oneof`_ ``source``.
-        resource (str):
-            Immutable. The service-qualified full resource name of the
-            cloud resource for a DataScan job to scan against. The field
-            could be: BigQuery table of type "TABLE" for
-            DataProfileScan/DataQualityScan Format:
-            //bigquery.googleapis.com/projects/PROJECT_ID/datasets/DATASET_ID/tables/TABLE_ID
-
-            This field is a member of `oneof`_ ``source``.
-    """
-
-    entity: str = proto.Field(
-        proto.STRING,
-        number=100,
-        oneof='source',
-    )
-    resource: str = proto.Field(
-        proto.STRING,
-        number=101,
-        oneof='source',
-    )
-
-
-class ScannedData(proto.Message):
-    r"""The data scanned during processing (e.g. in incremental
-    DataScan)
-
-
-    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
-
-    Attributes:
-        incremental_field (google.cloud.dataplex_v1.types.ScannedData.IncrementalField):
-            The range denoted by values of an incremental
-            field
-
-            This field is a member of `oneof`_ ``data_range``.
-    """
-
-    class IncrementalField(proto.Message):
-        r"""A data range denoted by a pair of start/end values of a
-        field.
-
-        Attributes:
-            field (str):
-                The field that contains values which
-                monotonically increases over time (e.g. a
-                timestamp column).
-            start (str):
-                Value that marks the start of the range.
-            end (str):
-                Value that marks the end of the range.
-        """
-
-        field: str = proto.Field(
-            proto.STRING,
-            number=1,
-        )
-        start: str = proto.Field(
-            proto.STRING,
-            number=2,
-        )
-        end: str = proto.Field(
-            proto.STRING,
-            number=3,
-        )
-
-    incremental_field: IncrementalField = proto.Field(
-        proto.MESSAGE,
-        number=1,
-        oneof='data_range',
-        message=IncrementalField,
-    )
-
-
-__all__ = tuple(sorted(__protobuf__.manifest))
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/resources.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/resources.py
deleted file mode 100644
index d07ae9df21e3..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/resources.py
+++ /dev/null
@@ -1,1444 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from __future__ import annotations
-
-from typing import MutableMapping, MutableSequence
-
-import proto  # type: ignore
-
-from google.protobuf import duration_pb2  # type: ignore
-from google.protobuf import timestamp_pb2  # type: ignore
-
-
-__protobuf__ = proto.module(
-    package='google.cloud.dataplex.v1',
-    manifest={
-        'State',
-        'Lake',
-        'AssetStatus',
-        'Zone',
-        'Action',
-        'Asset',
-    },
-)
-
-
-class State(proto.Enum):
-    r"""State of a resource.
-
-    Values:
-        STATE_UNSPECIFIED (0):
-            State is not specified.
-        ACTIVE (1):
-            Resource is active, i.e., ready to use.
-        CREATING (2):
-            Resource is under creation.
-        DELETING (3):
-            Resource is under deletion.
-        ACTION_REQUIRED (4):
-            Resource is active but has unresolved
-            actions.
-    """
-    STATE_UNSPECIFIED = 0
-    ACTIVE = 1
-    CREATING = 2
-    DELETING = 3
-    ACTION_REQUIRED = 4
-
-
-class Lake(proto.Message):
-    r"""A lake is a centralized repository for managing enterprise
-    data across the organization distributed across many cloud
-    projects, and stored in a variety of storage services such as
-    Google Cloud Storage and BigQuery. The resources attached to a
-    lake are referred to as managed resources. Data within these
-    managed resources can be structured or unstructured. A lake
-    provides data admins with tools to organize, secure and manage
-    their data at scale, and provides data scientists and data
-    engineers an integrated experience to easily search, discover,
-    analyze and transform data and associated metadata.
-
-    Attributes:
-        name (str):
-            Output only. The relative resource name of the lake, of the
-            form:
-            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}``.
-        display_name (str):
-            Optional. User friendly display name.
-        uid (str):
-            Output only. System generated globally unique
-            ID for the lake. This ID will be different if
-            the lake is deleted and re-created with the same
-            name.
-        create_time (google.protobuf.timestamp_pb2.Timestamp):
-            Output only. The time when the lake was
-            created.
-        update_time (google.protobuf.timestamp_pb2.Timestamp):
-            Output only. The time when the lake was last
-            updated.
-        labels (MutableMapping[str, str]):
-            Optional. User-defined labels for the lake.
-        description (str):
-            Optional. Description of the lake.
-        state (google.cloud.dataplex_v1.types.State):
-            Output only. Current state of the lake.
-        service_account (str):
-            Output only. Service account associated with
-            this lake. This service account must be
-            authorized to access or operate on resources
-            managed by the lake.
-        metastore (google.cloud.dataplex_v1.types.Lake.Metastore):
-            Optional. Settings to manage lake and
-            Dataproc Metastore service instance association.
-        asset_status (google.cloud.dataplex_v1.types.AssetStatus):
-            Output only. Aggregated status of the
-            underlying assets of the lake.
-        metastore_status (google.cloud.dataplex_v1.types.Lake.MetastoreStatus):
-            Output only. Metastore status of the lake.
-    """
-
-    class Metastore(proto.Message):
-        r"""Settings to manage association of Dataproc Metastore with a
-        lake.
-
-        Attributes:
-            service (str):
-                Optional. A relative reference to the Dataproc Metastore
-                (https://cloud.google.com/dataproc-metastore/docs) service
-                associated with the lake:
-                ``projects/{project_id}/locations/{location_id}/services/{service_id}``
-        """
-
-        service: str = proto.Field(
-            proto.STRING,
-            number=1,
-        )
-
-    class MetastoreStatus(proto.Message):
-        r"""Status of Lake and Dataproc Metastore service instance
-        association.
-
-        Attributes:
-            state (google.cloud.dataplex_v1.types.Lake.MetastoreStatus.State):
-                Current state of association.
-            message (str):
-                Additional information about the current
-                status.
-            update_time (google.protobuf.timestamp_pb2.Timestamp):
-                Last update time of the metastore status of
-                the lake.
-            endpoint (str):
-                The URI of the endpoint used to access the
-                Metastore service.
-        """
-        class State(proto.Enum):
-            r"""Current state of association.
-
-            Values:
-                STATE_UNSPECIFIED (0):
-                    Unspecified.
-                NONE (1):
-                    A Metastore service instance is not
-                    associated with the lake.
-                READY (2):
-                    A Metastore service instance is attached to
-                    the lake.
-                UPDATING (3):
-                    Attach/detach is in progress.
-                ERROR (4):
-                    Attach/detach could not be done due to
-                    errors.
-            """
-            STATE_UNSPECIFIED = 0
-            NONE = 1
-            READY = 2
-            UPDATING = 3
-            ERROR = 4
-
-        state: 'Lake.MetastoreStatus.State' = proto.Field(
-            proto.ENUM,
-            number=1,
-            enum='Lake.MetastoreStatus.State',
-        )
-        message: str = proto.Field(
-            proto.STRING,
-            number=2,
-        )
-        update_time: timestamp_pb2.Timestamp = proto.Field(
-            proto.MESSAGE,
-            number=3,
-            message=timestamp_pb2.Timestamp,
-        )
-        endpoint: str = proto.Field(
-            proto.STRING,
-            number=4,
-        )
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    display_name: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    uid: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-    create_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=4,
-        message=timestamp_pb2.Timestamp,
-    )
-    update_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=5,
-        message=timestamp_pb2.Timestamp,
-    )
-    labels: MutableMapping[str, str] = proto.MapField(
-        proto.STRING,
-        proto.STRING,
-        number=6,
-    )
-    description: str = proto.Field(
-        proto.STRING,
-        number=7,
-    )
-    state: 'State' = proto.Field(
-        proto.ENUM,
-        number=8,
-        enum='State',
-    )
-    service_account: str = proto.Field(
-        proto.STRING,
-        number=9,
-    )
-    metastore: Metastore = proto.Field(
-        proto.MESSAGE,
-        number=102,
-        message=Metastore,
-    )
-    asset_status: 'AssetStatus' = proto.Field(
-        proto.MESSAGE,
-        number=103,
-        message='AssetStatus',
-    )
-    metastore_status: MetastoreStatus = proto.Field(
-        proto.MESSAGE,
-        number=104,
-        message=MetastoreStatus,
-    )
-
-
-class AssetStatus(proto.Message):
-    r"""Aggregated status of the underlying assets of a lake or zone.
-
-    Attributes:
-        update_time (google.protobuf.timestamp_pb2.Timestamp):
-            Last update time of the status.
-        active_assets (int):
-            Number of active assets.
-        security_policy_applying_assets (int):
-            Number of assets that are in process of
-            updating the security policy on attached
-            resources.
-    """
-
-    update_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=1,
-        message=timestamp_pb2.Timestamp,
-    )
-    active_assets: int = proto.Field(
-        proto.INT32,
-        number=2,
-    )
-    security_policy_applying_assets: int = proto.Field(
-        proto.INT32,
-        number=3,
-    )
-
-
-class Zone(proto.Message):
-    r"""A zone represents a logical group of related assets within a
-    lake. A zone can be used to map to organizational structure or
-    represent stages of data readiness from raw to curated. It
-    provides managing behavior that is shared or inherited by all
-    contained assets.
-
-    Attributes:
-        name (str):
-            Output only. The relative resource name of the zone, of the
-            form:
-            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}``.
-        display_name (str):
-            Optional. User friendly display name.
-        uid (str):
-            Output only. System generated globally unique
-            ID for the zone. This ID will be different if
-            the zone is deleted and re-created with the same
-            name.
-        create_time (google.protobuf.timestamp_pb2.Timestamp):
-            Output only. The time when the zone was
-            created.
-        update_time (google.protobuf.timestamp_pb2.Timestamp):
-            Output only. The time when the zone was last
-            updated.
-        labels (MutableMapping[str, str]):
-            Optional. User defined labels for the zone.
-        description (str):
-            Optional. Description of the zone.
-        state (google.cloud.dataplex_v1.types.State):
-            Output only. Current state of the zone.
-        type_ (google.cloud.dataplex_v1.types.Zone.Type):
-            Required. Immutable. The type of the zone.
-        discovery_spec (google.cloud.dataplex_v1.types.Zone.DiscoverySpec):
-            Optional. Specification of the discovery
-            feature applied to data in this zone.
-        resource_spec (google.cloud.dataplex_v1.types.Zone.ResourceSpec):
-            Required. Specification of the resources that
-            are referenced by the assets within this zone.
-        asset_status (google.cloud.dataplex_v1.types.AssetStatus):
-            Output only. Aggregated status of the
-            underlying assets of the zone.
-    """
-    class Type(proto.Enum):
-        r"""Type of zone.
-
-        Values:
-            TYPE_UNSPECIFIED (0):
-                Zone type not specified.
-            RAW (1):
-                A zone that contains data that needs further
-                processing before it is considered generally
-                ready for consumption and analytics workloads.
-            CURATED (2):
-                A zone that contains data that is considered
-                to be ready for broader consumption and
-                analytics workloads. Curated structured data
-                stored in Cloud Storage must conform to certain
-                file formats (parquet, avro and orc) and
-                organized in a hive-compatible directory layout.
-        """
-        TYPE_UNSPECIFIED = 0
-        RAW = 1
-        CURATED = 2
-
-    class ResourceSpec(proto.Message):
-        r"""Settings for resources attached as assets within a zone.
-
-        Attributes:
-            location_type (google.cloud.dataplex_v1.types.Zone.ResourceSpec.LocationType):
-                Required. Immutable. The location type of the
-                resources that are allowed to be attached to the
-                assets within this zone.
-        """
-        class LocationType(proto.Enum):
-            r"""Location type of the resources attached to a zone.
-
-            Values:
-                LOCATION_TYPE_UNSPECIFIED (0):
-                    Unspecified location type.
-                SINGLE_REGION (1):
-                    Resources that are associated with a single
-                    region.
-                MULTI_REGION (2):
-                    Resources that are associated with a
-                    multi-region location.
-            """
-            LOCATION_TYPE_UNSPECIFIED = 0
-            SINGLE_REGION = 1
-            MULTI_REGION = 2
-
-        location_type: 'Zone.ResourceSpec.LocationType' = proto.Field(
-            proto.ENUM,
-            number=1,
-            enum='Zone.ResourceSpec.LocationType',
-        )
-
-    class DiscoverySpec(proto.Message):
-        r"""Settings to manage the metadata discovery and publishing in a
-        zone.
-
-
-        .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
-
-        Attributes:
-            enabled (bool):
-                Required. Whether discovery is enabled.
-            include_patterns (MutableSequence[str]):
-                Optional. The list of patterns to apply for
-                selecting data to include during discovery if
-                only a subset of the data should considered. For
-                Cloud Storage bucket assets, these are
-                interpreted as glob patterns used to match
-                object names. For BigQuery dataset assets, these
-                are interpreted as patterns to match table
-                names.
-            exclude_patterns (MutableSequence[str]):
-                Optional. The list of patterns to apply for
-                selecting data to exclude during discovery.  For
-                Cloud Storage bucket assets, these are
-                interpreted as glob patterns used to match
-                object names. For BigQuery dataset assets, these
-                are interpreted as patterns to match table
-                names.
-            csv_options (google.cloud.dataplex_v1.types.Zone.DiscoverySpec.CsvOptions):
-                Optional. Configuration for CSV data.
-            json_options (google.cloud.dataplex_v1.types.Zone.DiscoverySpec.JsonOptions):
-                Optional. Configuration for Json data.
-            schedule (str):
-                Optional. Cron schedule (https://en.wikipedia.org/wiki/Cron)
-                for running discovery periodically. Successive discovery
-                runs must be scheduled at least 60 minutes apart. The
-                default value is to run discovery every 60 minutes. To
-                explicitly set a timezone to the cron tab, apply a prefix in
-                the cron tab: "CRON_TZ=${IANA_TIME_ZONE}" or
-                TZ=${IANA_TIME_ZONE}". The ${IANA_TIME_ZONE} may only be a
-                valid string from IANA time zone database. For example,
-                \`CRON_TZ=America/New_York 1
-
-                -
-
-                   -
-
-                      -  \*\ ``, or``\ TZ=America/New_York 1 \* \* \* \*`.
-
-                This field is a member of `oneof`_ ``trigger``.
-        """
-
-        class CsvOptions(proto.Message):
-            r"""Describe CSV and similar semi-structured data formats.
-
-            Attributes:
-                header_rows (int):
-                    Optional. The number of rows to interpret as
-                    header rows that should be skipped when reading
-                    data rows.
-                delimiter (str):
-                    Optional. The delimiter being used to
-                    separate values. This defaults to ','.
-                encoding (str):
-                    Optional. The character encoding of the data.
-                    The default is UTF-8.
-                disable_type_inference (bool):
-                    Optional. Whether to disable the inference of
-                    data type for CSV data. If true, all columns
-                    will be registered as strings.
-            """
-
-            header_rows: int = proto.Field(
-                proto.INT32,
-                number=1,
-            )
-            delimiter: str = proto.Field(
-                proto.STRING,
-                number=2,
-            )
-            encoding: str = proto.Field(
-                proto.STRING,
-                number=3,
-            )
-            disable_type_inference: bool = proto.Field(
-                proto.BOOL,
-                number=4,
-            )
-
-        class JsonOptions(proto.Message):
-            r"""Describe JSON data format.
-
-            Attributes:
-                encoding (str):
-                    Optional. The character encoding of the data.
-                    The default is UTF-8.
-                disable_type_inference (bool):
-                    Optional. Whether to disable the inference of
-                    data type for Json data. If true, all columns
-                    will be registered as their primitive types
-                    (strings, number or boolean).
-            """
-
-            encoding: str = proto.Field(
-                proto.STRING,
-                number=1,
-            )
-            disable_type_inference: bool = proto.Field(
-                proto.BOOL,
-                number=2,
-            )
-
-        enabled: bool = proto.Field(
-            proto.BOOL,
-            number=1,
-        )
-        include_patterns: MutableSequence[str] = proto.RepeatedField(
-            proto.STRING,
-            number=2,
-        )
-        exclude_patterns: MutableSequence[str] = proto.RepeatedField(
-            proto.STRING,
-            number=3,
-        )
-        csv_options: 'Zone.DiscoverySpec.CsvOptions' = proto.Field(
-            proto.MESSAGE,
-            number=4,
-            message='Zone.DiscoverySpec.CsvOptions',
-        )
-        json_options: 'Zone.DiscoverySpec.JsonOptions' = proto.Field(
-            proto.MESSAGE,
-            number=5,
-            message='Zone.DiscoverySpec.JsonOptions',
-        )
-        schedule: str = proto.Field(
-            proto.STRING,
-            number=10,
-            oneof='trigger',
-        )
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    display_name: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    uid: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-    create_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=4,
-        message=timestamp_pb2.Timestamp,
-    )
-    update_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=5,
-        message=timestamp_pb2.Timestamp,
-    )
-    labels: MutableMapping[str, str] = proto.MapField(
-        proto.STRING,
-        proto.STRING,
-        number=6,
-    )
-    description: str = proto.Field(
-        proto.STRING,
-        number=7,
-    )
-    state: 'State' = proto.Field(
-        proto.ENUM,
-        number=8,
-        enum='State',
-    )
-    type_: Type = proto.Field(
-        proto.ENUM,
-        number=9,
-        enum=Type,
-    )
-    discovery_spec: DiscoverySpec = proto.Field(
-        proto.MESSAGE,
-        number=103,
-        message=DiscoverySpec,
-    )
-    resource_spec: ResourceSpec = proto.Field(
-        proto.MESSAGE,
-        number=104,
-        message=ResourceSpec,
-    )
-    asset_status: 'AssetStatus' = proto.Field(
-        proto.MESSAGE,
-        number=105,
-        message='AssetStatus',
-    )
-
-
-class Action(proto.Message):
-    r"""Action represents an issue requiring administrator action for
-    resolution.
-
-    This message has `oneof`_ fields (mutually exclusive fields).
-    For each oneof, at most one member field can be set at the same time.
-    Setting any member of the oneof automatically clears all other
-    members.
-
-    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
-
-    Attributes:
-        category (google.cloud.dataplex_v1.types.Action.Category):
-            The category of issue associated with the
-            action.
-        issue (str):
-            Detailed description of the issue requiring
-            action.
-        detect_time (google.protobuf.timestamp_pb2.Timestamp):
-            The time that the issue was detected.
-        name (str):
-            Output only. The relative resource name of the action, of
-            the form:
-            ``projects/{project}/locations/{location}/lakes/{lake}/actions/{action}``
-            ``projects/{project}/locations/{location}/lakes/{lake}/zones/{zone}/actions/{action}``
-            ``projects/{project}/locations/{location}/lakes/{lake}/zones/{zone}/assets/{asset}/actions/{action}``.
-        lake (str):
-            Output only. The relative resource name of the lake, of the
-            form:
-            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}``.
-        zone (str):
-            Output only. The relative resource name of the zone, of the
-            form:
-            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}``.
-        asset (str):
-            Output only. The relative resource name of the asset, of the
-            form:
-            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/assets/{asset_id}``.
-        data_locations (MutableSequence[str]):
-            The list of data locations associated with this action.
-            Cloud Storage locations are represented as URI paths(E.g.
-            ``gs://bucket/table1/year=2020/month=Jan/``). BigQuery
-            locations refer to resource names(E.g.
-            ``bigquery.googleapis.com/projects/project-id/datasets/dataset-id``).
-        invalid_data_format (google.cloud.dataplex_v1.types.Action.InvalidDataFormat):
-            Details for issues related to invalid or
-            unsupported data formats.
-
-            This field is a member of `oneof`_ ``details``.
-        incompatible_data_schema (google.cloud.dataplex_v1.types.Action.IncompatibleDataSchema):
-            Details for issues related to incompatible
-            schemas detected within data.
-
-            This field is a member of `oneof`_ ``details``.
-        invalid_data_partition (google.cloud.dataplex_v1.types.Action.InvalidDataPartition):
-            Details for issues related to invalid or
-            unsupported data partition structure.
-
-            This field is a member of `oneof`_ ``details``.
-        missing_data (google.cloud.dataplex_v1.types.Action.MissingData):
-            Details for issues related to absence of data
-            within managed resources.
-
-            This field is a member of `oneof`_ ``details``.
-        missing_resource (google.cloud.dataplex_v1.types.Action.MissingResource):
-            Details for issues related to absence of a
-            managed resource.
-
-            This field is a member of `oneof`_ ``details``.
-        unauthorized_resource (google.cloud.dataplex_v1.types.Action.UnauthorizedResource):
-            Details for issues related to lack of
-            permissions to access data resources.
-
-            This field is a member of `oneof`_ ``details``.
-        failed_security_policy_apply (google.cloud.dataplex_v1.types.Action.FailedSecurityPolicyApply):
-            Details for issues related to applying
-            security policy.
-
-            This field is a member of `oneof`_ ``details``.
-        invalid_data_organization (google.cloud.dataplex_v1.types.Action.InvalidDataOrganization):
-            Details for issues related to invalid data
-            arrangement.
-
-            This field is a member of `oneof`_ ``details``.
-    """
-    class Category(proto.Enum):
-        r"""The category of issues.
-
-        Values:
-            CATEGORY_UNSPECIFIED (0):
-                Unspecified category.
-            RESOURCE_MANAGEMENT (1):
-                Resource management related issues.
-            SECURITY_POLICY (2):
-                Security policy related issues.
-            DATA_DISCOVERY (3):
-                Data and discovery related issues.
-        """
-        CATEGORY_UNSPECIFIED = 0
-        RESOURCE_MANAGEMENT = 1
-        SECURITY_POLICY = 2
-        DATA_DISCOVERY = 3
-
-    class MissingResource(proto.Message):
-        r"""Action details for resource references in assets that cannot
-        be located.
-
-        """
-
-    class UnauthorizedResource(proto.Message):
-        r"""Action details for unauthorized resource issues raised to
-        indicate that the service account associated with the lake
-        instance is not authorized to access or manage the resource
-        associated with an asset.
-
-        """
-
-    class FailedSecurityPolicyApply(proto.Message):
-        r"""Failed to apply security policy to the managed resource(s)
-        under a lake, zone or an asset. For a lake or zone resource, one
-        or more underlying assets has a failure applying security policy
-        to the associated managed resource.
-
-        Attributes:
-            asset (str):
-                Resource name of one of the assets with
-                failing security policy application. Populated
-                for a lake or zone resource only.
-        """
-
-        asset: str = proto.Field(
-            proto.STRING,
-            number=1,
-        )
-
-    class InvalidDataFormat(proto.Message):
-        r"""Action details for invalid or unsupported data files detected
-        by discovery.
-
-        Attributes:
-            sampled_data_locations (MutableSequence[str]):
-                The list of data locations sampled and used
-                for format/schema inference.
-            expected_format (str):
-                The expected data format of the entity.
-            new_format (str):
-                The new unexpected data format within the
-                entity.
-        """
-
-        sampled_data_locations: MutableSequence[str] = proto.RepeatedField(
-            proto.STRING,
-            number=1,
-        )
-        expected_format: str = proto.Field(
-            proto.STRING,
-            number=2,
-        )
-        new_format: str = proto.Field(
-            proto.STRING,
-            number=3,
-        )
-
-    class IncompatibleDataSchema(proto.Message):
-        r"""Action details for incompatible schemas detected by
-        discovery.
-
-        Attributes:
-            table (str):
-                The name of the table containing invalid
-                data.
-            existing_schema (str):
-                The existing and expected schema of the
-                table. The schema is provided as a JSON
-                formatted structure listing columns and data
-                types.
-            new_schema (str):
-                The new and incompatible schema within the
-                table. The schema is provided as a JSON
-                formatted structured listing columns and data
-                types.
-            sampled_data_locations (MutableSequence[str]):
-                The list of data locations sampled and used
-                for format/schema inference.
-            schema_change (google.cloud.dataplex_v1.types.Action.IncompatibleDataSchema.SchemaChange):
-                Whether the action relates to a schema that
-                is incompatible or modified.
-        """
-        class SchemaChange(proto.Enum):
-            r"""Whether the action relates to a schema that is incompatible
-            or modified.
-
-            Values:
-                SCHEMA_CHANGE_UNSPECIFIED (0):
-                    Schema change unspecified.
-                INCOMPATIBLE (1):
-                    Newly discovered schema is incompatible with
-                    existing schema.
-                MODIFIED (2):
-                    Newly discovered schema has changed from
-                    existing schema for data in a curated zone.
-            """
-            SCHEMA_CHANGE_UNSPECIFIED = 0
-            INCOMPATIBLE = 1
-            MODIFIED = 2
-
-        table: str = proto.Field(
-            proto.STRING,
-            number=1,
-        )
-        existing_schema: str = proto.Field(
-            proto.STRING,
-            number=2,
-        )
-        new_schema: str = proto.Field(
-            proto.STRING,
-            number=3,
-        )
-        sampled_data_locations: MutableSequence[str] = proto.RepeatedField(
-            proto.STRING,
-            number=4,
-        )
-        schema_change: 'Action.IncompatibleDataSchema.SchemaChange' = proto.Field(
-            proto.ENUM,
-            number=5,
-            enum='Action.IncompatibleDataSchema.SchemaChange',
-        )
-
-    class InvalidDataPartition(proto.Message):
-        r"""Action details for invalid or unsupported partitions detected
-        by discovery.
-
-        Attributes:
-            expected_structure (google.cloud.dataplex_v1.types.Action.InvalidDataPartition.PartitionStructure):
-                The issue type of InvalidDataPartition.
-        """
-        class PartitionStructure(proto.Enum):
-            r"""The expected partition structure.
-
-            Values:
-                PARTITION_STRUCTURE_UNSPECIFIED (0):
-                    PartitionStructure unspecified.
-                CONSISTENT_KEYS (1):
-                    Consistent hive-style partition definition
-                    (both raw and curated zone).
-                HIVE_STYLE_KEYS (2):
-                    Hive style partition definition (curated zone
-                    only).
-            """
-            PARTITION_STRUCTURE_UNSPECIFIED = 0
-            CONSISTENT_KEYS = 1
-            HIVE_STYLE_KEYS = 2
-
-        expected_structure: 'Action.InvalidDataPartition.PartitionStructure' = proto.Field(
-            proto.ENUM,
-            number=1,
-            enum='Action.InvalidDataPartition.PartitionStructure',
-        )
-
-    class MissingData(proto.Message):
-        r"""Action details for absence of data detected by discovery.
-        """
-
-    class InvalidDataOrganization(proto.Message):
-        r"""Action details for invalid data arrangement.
-        """
-
-    category: Category = proto.Field(
-        proto.ENUM,
-        number=1,
-        enum=Category,
-    )
-    issue: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    detect_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=4,
-        message=timestamp_pb2.Timestamp,
-    )
-    name: str = proto.Field(
-        proto.STRING,
-        number=5,
-    )
-    lake: str = proto.Field(
-        proto.STRING,
-        number=6,
-    )
-    zone: str = proto.Field(
-        proto.STRING,
-        number=7,
-    )
-    asset: str = proto.Field(
-        proto.STRING,
-        number=8,
-    )
-    data_locations: MutableSequence[str] = proto.RepeatedField(
-        proto.STRING,
-        number=9,
-    )
-    invalid_data_format: InvalidDataFormat = proto.Field(
-        proto.MESSAGE,
-        number=10,
-        oneof='details',
-        message=InvalidDataFormat,
-    )
-    incompatible_data_schema: IncompatibleDataSchema = proto.Field(
-        proto.MESSAGE,
-        number=11,
-        oneof='details',
-        message=IncompatibleDataSchema,
-    )
-    invalid_data_partition: InvalidDataPartition = proto.Field(
-        proto.MESSAGE,
-        number=12,
-        oneof='details',
-        message=InvalidDataPartition,
-    )
-    missing_data: MissingData = proto.Field(
-        proto.MESSAGE,
-        number=13,
-        oneof='details',
-        message=MissingData,
-    )
-    missing_resource: MissingResource = proto.Field(
-        proto.MESSAGE,
-        number=14,
-        oneof='details',
-        message=MissingResource,
-    )
-    unauthorized_resource: UnauthorizedResource = proto.Field(
-        proto.MESSAGE,
-        number=15,
-        oneof='details',
-        message=UnauthorizedResource,
-    )
-    failed_security_policy_apply: FailedSecurityPolicyApply = proto.Field(
-        proto.MESSAGE,
-        number=21,
-        oneof='details',
-        message=FailedSecurityPolicyApply,
-    )
-    invalid_data_organization: InvalidDataOrganization = proto.Field(
-        proto.MESSAGE,
-        number=22,
-        oneof='details',
-        message=InvalidDataOrganization,
-    )
-
-
-class Asset(proto.Message):
-    r"""An asset represents a cloud resource that is being managed
-    within a lake as a member of a zone.
-
-    Attributes:
-        name (str):
-            Output only. The relative resource name of the asset, of the
-            form:
-            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/assets/{asset_id}``.
-        display_name (str):
-            Optional. User friendly display name.
-        uid (str):
-            Output only. System generated globally unique
-            ID for the asset. This ID will be different if
-            the asset is deleted and re-created with the
-            same name.
-        create_time (google.protobuf.timestamp_pb2.Timestamp):
-            Output only. The time when the asset was
-            created.
-        update_time (google.protobuf.timestamp_pb2.Timestamp):
-            Output only. The time when the asset was last
-            updated.
-        labels (MutableMapping[str, str]):
-            Optional. User defined labels for the asset.
-        description (str):
-            Optional. Description of the asset.
-        state (google.cloud.dataplex_v1.types.State):
-            Output only. Current state of the asset.
-        resource_spec (google.cloud.dataplex_v1.types.Asset.ResourceSpec):
-            Required. Specification of the resource that
-            is referenced by this asset.
-        resource_status (google.cloud.dataplex_v1.types.Asset.ResourceStatus):
-            Output only. Status of the resource
-            referenced by this asset.
-        security_status (google.cloud.dataplex_v1.types.Asset.SecurityStatus):
-            Output only. Status of the security policy
-            applied to resource referenced by this asset.
-        discovery_spec (google.cloud.dataplex_v1.types.Asset.DiscoverySpec):
-            Optional. Specification of the discovery
-            feature applied to data referenced by this
-            asset. When this spec is left unset, the asset
-            will use the spec set on the parent zone.
-        discovery_status (google.cloud.dataplex_v1.types.Asset.DiscoveryStatus):
-            Output only. Status of the discovery feature
-            applied to data referenced by this asset.
-    """
-
-    class SecurityStatus(proto.Message):
-        r"""Security policy status of the asset. Data security policy,
-        i.e., readers, writers & owners, should be specified in the
-        lake/zone/asset IAM policy.
-
-        Attributes:
-            state (google.cloud.dataplex_v1.types.Asset.SecurityStatus.State):
-                The current state of the security policy
-                applied to the attached resource.
-            message (str):
-                Additional information about the current
-                state.
-            update_time (google.protobuf.timestamp_pb2.Timestamp):
-                Last update time of the status.
-        """
-        class State(proto.Enum):
-            r"""The state of the security policy.
-
-            Values:
-                STATE_UNSPECIFIED (0):
-                    State unspecified.
-                READY (1):
-                    Security policy has been successfully applied
-                    to the attached resource.
-                APPLYING (2):
-                    Security policy is in the process of being
-                    applied to the attached resource.
-                ERROR (3):
-                    Security policy could not be applied to the
-                    attached resource due to errors.
-            """
-            STATE_UNSPECIFIED = 0
-            READY = 1
-            APPLYING = 2
-            ERROR = 3
-
-        state: 'Asset.SecurityStatus.State' = proto.Field(
-            proto.ENUM,
-            number=1,
-            enum='Asset.SecurityStatus.State',
-        )
-        message: str = proto.Field(
-            proto.STRING,
-            number=2,
-        )
-        update_time: timestamp_pb2.Timestamp = proto.Field(
-            proto.MESSAGE,
-            number=3,
-            message=timestamp_pb2.Timestamp,
-        )
-
-    class DiscoverySpec(proto.Message):
-        r"""Settings to manage the metadata discovery and publishing for
-        an asset.
-
-
-        .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
-
-        Attributes:
-            enabled (bool):
-                Optional. Whether discovery is enabled.
-            include_patterns (MutableSequence[str]):
-                Optional. The list of patterns to apply for
-                selecting data to include during discovery if
-                only a subset of the data should considered.
-                For Cloud Storage bucket assets, these are
-                interpreted as glob patterns used to match
-                object names. For BigQuery dataset assets, these
-                are interpreted as patterns to match table
-                names.
-            exclude_patterns (MutableSequence[str]):
-                Optional. The list of patterns to apply for
-                selecting data to exclude during discovery.  For
-                Cloud Storage bucket assets, these are
-                interpreted as glob patterns used to match
-                object names. For BigQuery dataset assets, these
-                are interpreted as patterns to match table
-                names.
-            csv_options (google.cloud.dataplex_v1.types.Asset.DiscoverySpec.CsvOptions):
-                Optional. Configuration for CSV data.
-            json_options (google.cloud.dataplex_v1.types.Asset.DiscoverySpec.JsonOptions):
-                Optional. Configuration for Json data.
-            schedule (str):
-                Optional. Cron schedule (https://en.wikipedia.org/wiki/Cron)
-                for running discovery periodically. Successive discovery
-                runs must be scheduled at least 60 minutes apart. The
-                default value is to run discovery every 60 minutes. To
-                explicitly set a timezone to the cron tab, apply a prefix in
-                the cron tab: "CRON_TZ=${IANA_TIME_ZONE}" or
-                TZ=${IANA_TIME_ZONE}". The ${IANA_TIME_ZONE} may only be a
-                valid string from IANA time zone database. For example,
-                \`CRON_TZ=America/New_York 1
-
-                -
-
-                   -
-
-                      -  \*\ ``, or``\ TZ=America/New_York 1 \* \* \* \*`.
-
-                This field is a member of `oneof`_ ``trigger``.
-        """
-
-        class CsvOptions(proto.Message):
-            r"""Describe CSV and similar semi-structured data formats.
-
-            Attributes:
-                header_rows (int):
-                    Optional. The number of rows to interpret as
-                    header rows that should be skipped when reading
-                    data rows.
-                delimiter (str):
-                    Optional. The delimiter being used to
-                    separate values. This defaults to ','.
-                encoding (str):
-                    Optional. The character encoding of the data.
-                    The default is UTF-8.
-                disable_type_inference (bool):
-                    Optional. Whether to disable the inference of
-                    data type for CSV data. If true, all columns
-                    will be registered as strings.
-            """
-
-            header_rows: int = proto.Field(
-                proto.INT32,
-                number=1,
-            )
-            delimiter: str = proto.Field(
-                proto.STRING,
-                number=2,
-            )
-            encoding: str = proto.Field(
-                proto.STRING,
-                number=3,
-            )
-            disable_type_inference: bool = proto.Field(
-                proto.BOOL,
-                number=4,
-            )
-
-        class JsonOptions(proto.Message):
-            r"""Describe JSON data format.
-
-            Attributes:
-                encoding (str):
-                    Optional. The character encoding of the data.
-                    The default is UTF-8.
-                disable_type_inference (bool):
-                    Optional. Whether to disable the inference of
-                    data type for Json data. If true, all columns
-                    will be registered as their primitive types
-                    (strings, number or boolean).
-            """
-
-            encoding: str = proto.Field(
-                proto.STRING,
-                number=1,
-            )
-            disable_type_inference: bool = proto.Field(
-                proto.BOOL,
-                number=2,
-            )
-
-        enabled: bool = proto.Field(
-            proto.BOOL,
-            number=1,
-        )
-        include_patterns: MutableSequence[str] = proto.RepeatedField(
-            proto.STRING,
-            number=2,
-        )
-        exclude_patterns: MutableSequence[str] = proto.RepeatedField(
-            proto.STRING,
-            number=3,
-        )
-        csv_options: 'Asset.DiscoverySpec.CsvOptions' = proto.Field(
-            proto.MESSAGE,
-            number=4,
-            message='Asset.DiscoverySpec.CsvOptions',
-        )
-        json_options: 'Asset.DiscoverySpec.JsonOptions' = proto.Field(
-            proto.MESSAGE,
-            number=5,
-            message='Asset.DiscoverySpec.JsonOptions',
-        )
-        schedule: str = proto.Field(
-            proto.STRING,
-            number=10,
-            oneof='trigger',
-        )
-
-    class ResourceSpec(proto.Message):
-        r"""Identifies the cloud resource that is referenced by this
-        asset.
-
-        Attributes:
-            name (str):
-                Immutable. Relative name of the cloud resource that contains
-                the data that is being managed within a lake. For example:
-                ``projects/{project_number}/buckets/{bucket_id}``
-                ``projects/{project_number}/datasets/{dataset_id}``
-            type_ (google.cloud.dataplex_v1.types.Asset.ResourceSpec.Type):
-                Required. Immutable. Type of resource.
-            read_access_mode (google.cloud.dataplex_v1.types.Asset.ResourceSpec.AccessMode):
-                Optional. Determines how read permissions are
-                handled for each asset and their associated
-                tables. Only available to storage buckets
-                assets.
-        """
-        class Type(proto.Enum):
-            r"""Type of resource.
-
-            Values:
-                TYPE_UNSPECIFIED (0):
-                    Type not specified.
-                STORAGE_BUCKET (1):
-                    Cloud Storage bucket.
-                BIGQUERY_DATASET (2):
-                    BigQuery dataset.
-            """
-            TYPE_UNSPECIFIED = 0
-            STORAGE_BUCKET = 1
-            BIGQUERY_DATASET = 2
-
-        class AccessMode(proto.Enum):
-            r"""Access Mode determines how data stored within the resource is
-            read. This is only applicable to storage bucket assets.
-
-            Values:
-                ACCESS_MODE_UNSPECIFIED (0):
-                    Access mode unspecified.
-                DIRECT (1):
-                    Default. Data is accessed directly using
-                    storage APIs.
-                MANAGED (2):
-                    Data is accessed through a managed interface
-                    using BigQuery APIs.
-            """
-            ACCESS_MODE_UNSPECIFIED = 0
-            DIRECT = 1
-            MANAGED = 2
-
-        name: str = proto.Field(
-            proto.STRING,
-            number=1,
-        )
-        type_: 'Asset.ResourceSpec.Type' = proto.Field(
-            proto.ENUM,
-            number=2,
-            enum='Asset.ResourceSpec.Type',
-        )
-        read_access_mode: 'Asset.ResourceSpec.AccessMode' = proto.Field(
-            proto.ENUM,
-            number=5,
-            enum='Asset.ResourceSpec.AccessMode',
-        )
-
-    class ResourceStatus(proto.Message):
-        r"""Status of the resource referenced by an asset.
-
-        Attributes:
-            state (google.cloud.dataplex_v1.types.Asset.ResourceStatus.State):
-                The current state of the managed resource.
-            message (str):
-                Additional information about the current
-                state.
-            update_time (google.protobuf.timestamp_pb2.Timestamp):
-                Last update time of the status.
-            managed_access_identity (str):
-                Output only. Service account associated with
-                the BigQuery Connection.
-        """
-        class State(proto.Enum):
-            r"""The state of a resource.
-
-            Values:
-                STATE_UNSPECIFIED (0):
-                    State unspecified.
-                READY (1):
-                    Resource does not have any errors.
-                ERROR (2):
-                    Resource has errors.
-            """
-            STATE_UNSPECIFIED = 0
-            READY = 1
-            ERROR = 2
-
-        state: 'Asset.ResourceStatus.State' = proto.Field(
-            proto.ENUM,
-            number=1,
-            enum='Asset.ResourceStatus.State',
-        )
-        message: str = proto.Field(
-            proto.STRING,
-            number=2,
-        )
-        update_time: timestamp_pb2.Timestamp = proto.Field(
-            proto.MESSAGE,
-            number=3,
-            message=timestamp_pb2.Timestamp,
-        )
-        managed_access_identity: str = proto.Field(
-            proto.STRING,
-            number=4,
-        )
-
-    class DiscoveryStatus(proto.Message):
-        r"""Status of discovery for an asset.
-
-        Attributes:
-            state (google.cloud.dataplex_v1.types.Asset.DiscoveryStatus.State):
-                The current status of the discovery feature.
-            message (str):
-                Additional information about the current
-                state.
-            update_time (google.protobuf.timestamp_pb2.Timestamp):
-                Last update time of the status.
-            last_run_time (google.protobuf.timestamp_pb2.Timestamp):
-                The start time of the last discovery run.
-            stats (google.cloud.dataplex_v1.types.Asset.DiscoveryStatus.Stats):
-                Data Stats of the asset reported by
-                discovery.
-            last_run_duration (google.protobuf.duration_pb2.Duration):
-                The duration of the last discovery run.
-        """
-        class State(proto.Enum):
-            r"""Current state of discovery.
-
-            Values:
-                STATE_UNSPECIFIED (0):
-                    State is unspecified.
-                SCHEDULED (1):
-                    Discovery for the asset is scheduled.
-                IN_PROGRESS (2):
-                    Discovery for the asset is running.
-                PAUSED (3):
-                    Discovery for the asset is currently paused
-                    (e.g. due to a lack of available resources). It
-                    will be automatically resumed.
-                DISABLED (5):
-                    Discovery for the asset is disabled.
-            """
-            STATE_UNSPECIFIED = 0
-            SCHEDULED = 1
-            IN_PROGRESS = 2
-            PAUSED = 3
-            DISABLED = 5
-
-        class Stats(proto.Message):
-            r"""The aggregated data statistics for the asset reported by
-            discovery.
-
-            Attributes:
-                data_items (int):
-                    The count of data items within the referenced
-                    resource.
-                data_size (int):
-                    The number of stored data bytes within the
-                    referenced resource.
-                tables (int):
-                    The count of table entities within the
-                    referenced resource.
-                filesets (int):
-                    The count of fileset entities within the
-                    referenced resource.
-            """
-
-            data_items: int = proto.Field(
-                proto.INT64,
-                number=1,
-            )
-            data_size: int = proto.Field(
-                proto.INT64,
-                number=2,
-            )
-            tables: int = proto.Field(
-                proto.INT64,
-                number=3,
-            )
-            filesets: int = proto.Field(
-                proto.INT64,
-                number=4,
-            )
-
-        state: 'Asset.DiscoveryStatus.State' = proto.Field(
-            proto.ENUM,
-            number=1,
-            enum='Asset.DiscoveryStatus.State',
-        )
-        message: str = proto.Field(
-            proto.STRING,
-            number=2,
-        )
-        update_time: timestamp_pb2.Timestamp = proto.Field(
-            proto.MESSAGE,
-            number=3,
-            message=timestamp_pb2.Timestamp,
-        )
-        last_run_time: timestamp_pb2.Timestamp = proto.Field(
-            proto.MESSAGE,
-            number=4,
-            message=timestamp_pb2.Timestamp,
-        )
-        stats: 'Asset.DiscoveryStatus.Stats' = proto.Field(
-            proto.MESSAGE,
-            number=6,
-            message='Asset.DiscoveryStatus.Stats',
-        )
-        last_run_duration: duration_pb2.Duration = proto.Field(
-            proto.MESSAGE,
-            number=7,
-            message=duration_pb2.Duration,
-        )
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    display_name: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    uid: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-    create_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=4,
-        message=timestamp_pb2.Timestamp,
-    )
-    update_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=5,
-        message=timestamp_pb2.Timestamp,
-    )
-    labels: MutableMapping[str, str] = proto.MapField(
-        proto.STRING,
-        proto.STRING,
-        number=6,
-    )
-    description: str = proto.Field(
-        proto.STRING,
-        number=7,
-    )
-    state: 'State' = proto.Field(
-        proto.ENUM,
-        number=8,
-        enum='State',
-    )
-    resource_spec: ResourceSpec = proto.Field(
-        proto.MESSAGE,
-        number=100,
-        message=ResourceSpec,
-    )
-    resource_status: ResourceStatus = proto.Field(
-        proto.MESSAGE,
-        number=101,
-        message=ResourceStatus,
-    )
-    security_status: SecurityStatus = proto.Field(
-        proto.MESSAGE,
-        number=103,
-        message=SecurityStatus,
-    )
-    discovery_spec: DiscoverySpec = proto.Field(
-        proto.MESSAGE,
-        number=106,
-        message=DiscoverySpec,
-    )
-    discovery_status: DiscoveryStatus = proto.Field(
-        proto.MESSAGE,
-        number=107,
-        message=DiscoveryStatus,
-    )
-
-
-__all__ = tuple(sorted(__protobuf__.manifest))
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/security.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/security.py
deleted file mode 100644
index 3fa729be6197..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/security.py
+++ /dev/null
@@ -1,90 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from __future__ import annotations
-
-from typing import MutableMapping, MutableSequence
-
-import proto  # type: ignore
-
-
-__protobuf__ = proto.module(
-    package='google.cloud.dataplex.v1',
-    manifest={
-        'ResourceAccessSpec',
-        'DataAccessSpec',
-    },
-)
-
-
-class ResourceAccessSpec(proto.Message):
-    r"""ResourceAccessSpec holds the access control configuration to
-    be enforced on the resources, for example, Cloud Storage bucket,
-    BigQuery dataset, BigQuery table.
-
-    Attributes:
-        readers (MutableSequence[str]):
-            Optional. The format of strings follows the
-            pattern followed by IAM in the bindings.
-            user:{email}, serviceAccount:{email}
-            group:{email}. The set of principals to be
-            granted reader role on the resource.
-        writers (MutableSequence[str]):
-            Optional. The set of principals to be granted
-            writer role on the resource.
-        owners (MutableSequence[str]):
-            Optional. The set of principals to be granted
-            owner role on the resource.
-    """
-
-    readers: MutableSequence[str] = proto.RepeatedField(
-        proto.STRING,
-        number=1,
-    )
-    writers: MutableSequence[str] = proto.RepeatedField(
-        proto.STRING,
-        number=2,
-    )
-    owners: MutableSequence[str] = proto.RepeatedField(
-        proto.STRING,
-        number=3,
-    )
-
-
-class DataAccessSpec(proto.Message):
-    r"""DataAccessSpec holds the access control configuration to be
-    enforced on data stored within resources (eg: rows, columns in
-    BigQuery Tables). When associated with data, the data is only
-    accessible to principals explicitly granted access through the
-    DataAccessSpec. Principals with access to the containing
-    resource are not implicitly granted access.
-
-    Attributes:
-        readers (MutableSequence[str]):
-            Optional. The format of strings follows the
-            pattern followed by IAM in the bindings.
-            user:{email}, serviceAccount:{email}
-            group:{email}. The set of principals to be
-            granted reader role on data stored within
-            resources.
-    """
-
-    readers: MutableSequence[str] = proto.RepeatedField(
-        proto.STRING,
-        number=1,
-    )
-
-
-__all__ = tuple(sorted(__protobuf__.manifest))
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/service.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/service.py
deleted file mode 100644
index 5493ed665a56..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/service.py
+++ /dev/null
@@ -1,1395 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from __future__ import annotations
-
-from typing import MutableMapping, MutableSequence
-
-import proto  # type: ignore
-
-from google.cloud.dataplex_v1.types import analyze
-from google.cloud.dataplex_v1.types import resources
-from google.cloud.dataplex_v1.types import tasks as gcd_tasks
-from google.protobuf import field_mask_pb2  # type: ignore
-from google.protobuf import timestamp_pb2  # type: ignore
-
-
-__protobuf__ = proto.module(
-    package='google.cloud.dataplex.v1',
-    manifest={
-        'CreateLakeRequest',
-        'UpdateLakeRequest',
-        'DeleteLakeRequest',
-        'ListLakesRequest',
-        'ListLakesResponse',
-        'ListLakeActionsRequest',
-        'ListActionsResponse',
-        'GetLakeRequest',
-        'CreateZoneRequest',
-        'UpdateZoneRequest',
-        'DeleteZoneRequest',
-        'ListZonesRequest',
-        'ListZonesResponse',
-        'ListZoneActionsRequest',
-        'GetZoneRequest',
-        'CreateAssetRequest',
-        'UpdateAssetRequest',
-        'DeleteAssetRequest',
-        'ListAssetsRequest',
-        'ListAssetsResponse',
-        'ListAssetActionsRequest',
-        'GetAssetRequest',
-        'OperationMetadata',
-        'CreateTaskRequest',
-        'UpdateTaskRequest',
-        'DeleteTaskRequest',
-        'ListTasksRequest',
-        'ListTasksResponse',
-        'GetTaskRequest',
-        'GetJobRequest',
-        'RunTaskRequest',
-        'RunTaskResponse',
-        'ListJobsRequest',
-        'ListJobsResponse',
-        'CancelJobRequest',
-        'CreateEnvironmentRequest',
-        'UpdateEnvironmentRequest',
-        'DeleteEnvironmentRequest',
-        'ListEnvironmentsRequest',
-        'ListEnvironmentsResponse',
-        'GetEnvironmentRequest',
-        'ListSessionsRequest',
-        'ListSessionsResponse',
-    },
-)
-
-
-class CreateLakeRequest(proto.Message):
-    r"""Create lake request.
-
-    Attributes:
-        parent (str):
-            Required. The resource name of the lake location, of the
-            form: projects/{project_number}/locations/{location_id}
-            where ``location_id`` refers to a GCP region.
-        lake_id (str):
-            Required. Lake identifier. This ID will be used to generate
-            names such as database and dataset names when publishing
-            metadata to Hive Metastore and BigQuery.
-
-            -  Must contain only lowercase letters, numbers and hyphens.
-            -  Must start with a letter.
-            -  Must end with a number or a letter.
-            -  Must be between 1-63 characters.
-            -  Must be unique within the customer project / location.
-        lake (google.cloud.dataplex_v1.types.Lake):
-            Required. Lake resource
-        validate_only (bool):
-            Optional. Only validate the request, but do
-            not perform mutations. The default is false.
-    """
-
-    parent: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    lake_id: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    lake: resources.Lake = proto.Field(
-        proto.MESSAGE,
-        number=3,
-        message=resources.Lake,
-    )
-    validate_only: bool = proto.Field(
-        proto.BOOL,
-        number=4,
-    )
-
-
-class UpdateLakeRequest(proto.Message):
-    r"""Update lake request.
-
-    Attributes:
-        update_mask (google.protobuf.field_mask_pb2.FieldMask):
-            Required. Mask of fields to update.
-        lake (google.cloud.dataplex_v1.types.Lake):
-            Required. Update description. Only fields specified in
-            ``update_mask`` are updated.
-        validate_only (bool):
-            Optional. Only validate the request, but do
-            not perform mutations. The default is false.
-    """
-
-    update_mask: field_mask_pb2.FieldMask = proto.Field(
-        proto.MESSAGE,
-        number=1,
-        message=field_mask_pb2.FieldMask,
-    )
-    lake: resources.Lake = proto.Field(
-        proto.MESSAGE,
-        number=2,
-        message=resources.Lake,
-    )
-    validate_only: bool = proto.Field(
-        proto.BOOL,
-        number=3,
-    )
-
-
-class DeleteLakeRequest(proto.Message):
-    r"""Delete lake request.
-
-    Attributes:
-        name (str):
-            Required. The resource name of the lake:
-            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}``.
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-
-
-class ListLakesRequest(proto.Message):
-    r"""List lakes request.
-
-    Attributes:
-        parent (str):
-            Required. The resource name of the lake location, of the
-            form: ``projects/{project_number}/locations/{location_id}``
-            where ``location_id`` refers to a GCP region.
-        page_size (int):
-            Optional. Maximum number of Lakes to return.
-            The service may return fewer than this value. If
-            unspecified, at most 10 lakes will be returned.
-            The maximum value is 1000; values above 1000
-            will be coerced to 1000.
-        page_token (str):
-            Optional. Page token received from a previous ``ListLakes``
-            call. Provide this to retrieve the subsequent page. When
-            paginating, all other parameters provided to ``ListLakes``
-            must match the call that provided the page token.
-        filter (str):
-            Optional. Filter request.
-        order_by (str):
-            Optional. Order by fields for the result.
-    """
-
-    parent: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    page_size: int = proto.Field(
-        proto.INT32,
-        number=2,
-    )
-    page_token: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-    filter: str = proto.Field(
-        proto.STRING,
-        number=4,
-    )
-    order_by: str = proto.Field(
-        proto.STRING,
-        number=5,
-    )
-
-
-class ListLakesResponse(proto.Message):
-    r"""List lakes response.
-
-    Attributes:
-        lakes (MutableSequence[google.cloud.dataplex_v1.types.Lake]):
-            Lakes under the given parent location.
-        next_page_token (str):
-            Token to retrieve the next page of results,
-            or empty if there are no more results in the
-            list.
-        unreachable_locations (MutableSequence[str]):
-            Locations that could not be reached.
-    """
-
-    @property
-    def raw_page(self):
-        return self
-
-    lakes: MutableSequence[resources.Lake] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=1,
-        message=resources.Lake,
-    )
-    next_page_token: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    unreachable_locations: MutableSequence[str] = proto.RepeatedField(
-        proto.STRING,
-        number=3,
-    )
-
-
-class ListLakeActionsRequest(proto.Message):
-    r"""List lake actions request.
-
-    Attributes:
-        parent (str):
-            Required. The resource name of the parent lake:
-            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}``.
-        page_size (int):
-            Optional. Maximum number of actions to
-            return. The service may return fewer than this
-            value. If unspecified, at most 10 actions will
-            be returned. The maximum value is 1000; values
-            above 1000 will be coerced to 1000.
-        page_token (str):
-            Optional. Page token received from a previous
-            ``ListLakeActions`` call. Provide this to retrieve the
-            subsequent page. When paginating, all other parameters
-            provided to ``ListLakeActions`` must match the call that
-            provided the page token.
-    """
-
-    parent: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    page_size: int = proto.Field(
-        proto.INT32,
-        number=2,
-    )
-    page_token: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-
-
-class ListActionsResponse(proto.Message):
-    r"""List actions response.
-
-    Attributes:
-        actions (MutableSequence[google.cloud.dataplex_v1.types.Action]):
-            Actions under the given parent
-            lake/zone/asset.
-        next_page_token (str):
-            Token to retrieve the next page of results,
-            or empty if there are no more results in the
-            list.
-    """
-
-    @property
-    def raw_page(self):
-        return self
-
-    actions: MutableSequence[resources.Action] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=1,
-        message=resources.Action,
-    )
-    next_page_token: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-
-
-class GetLakeRequest(proto.Message):
-    r"""Get lake request.
-
-    Attributes:
-        name (str):
-            Required. The resource name of the lake:
-            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}``.
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-
-
-class CreateZoneRequest(proto.Message):
-    r"""Create zone request.
-
-    Attributes:
-        parent (str):
-            Required. The resource name of the parent lake:
-            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}``.
-        zone_id (str):
-            Required. Zone identifier. This ID will be used to generate
-            names such as database and dataset names when publishing
-            metadata to Hive Metastore and BigQuery.
-
-            -  Must contain only lowercase letters, numbers and hyphens.
-            -  Must start with a letter.
-            -  Must end with a number or a letter.
-            -  Must be between 1-63 characters.
-            -  Must be unique across all lakes from all locations in a
-               project.
-            -  Must not be one of the reserved IDs (i.e. "default",
-               "global-temp")
-        zone (google.cloud.dataplex_v1.types.Zone):
-            Required. Zone resource.
-        validate_only (bool):
-            Optional. Only validate the request, but do
-            not perform mutations. The default is false.
-    """
-
-    parent: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    zone_id: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    zone: resources.Zone = proto.Field(
-        proto.MESSAGE,
-        number=3,
-        message=resources.Zone,
-    )
-    validate_only: bool = proto.Field(
-        proto.BOOL,
-        number=4,
-    )
-
-
-class UpdateZoneRequest(proto.Message):
-    r"""Update zone request.
-
-    Attributes:
-        update_mask (google.protobuf.field_mask_pb2.FieldMask):
-            Required. Mask of fields to update.
-        zone (google.cloud.dataplex_v1.types.Zone):
-            Required. Update description. Only fields specified in
-            ``update_mask`` are updated.
-        validate_only (bool):
-            Optional. Only validate the request, but do
-            not perform mutations. The default is false.
-    """
-
-    update_mask: field_mask_pb2.FieldMask = proto.Field(
-        proto.MESSAGE,
-        number=1,
-        message=field_mask_pb2.FieldMask,
-    )
-    zone: resources.Zone = proto.Field(
-        proto.MESSAGE,
-        number=2,
-        message=resources.Zone,
-    )
-    validate_only: bool = proto.Field(
-        proto.BOOL,
-        number=3,
-    )
-
-
-class DeleteZoneRequest(proto.Message):
-    r"""Delete zone request.
-
-    Attributes:
-        name (str):
-            Required. The resource name of the zone:
-            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}``.
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-
-
-class ListZonesRequest(proto.Message):
-    r"""List zones request.
-
-    Attributes:
-        parent (str):
-            Required. The resource name of the parent lake:
-            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}``.
-        page_size (int):
-            Optional. Maximum number of zones to return.
-            The service may return fewer than this value. If
-            unspecified, at most 10 zones will be returned.
-            The maximum value is 1000; values above 1000
-            will be coerced to 1000.
-        page_token (str):
-            Optional. Page token received from a previous ``ListZones``
-            call. Provide this to retrieve the subsequent page. When
-            paginating, all other parameters provided to ``ListZones``
-            must match the call that provided the page token.
-        filter (str):
-            Optional. Filter request.
-        order_by (str):
-            Optional. Order by fields for the result.
-    """
-
-    parent: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    page_size: int = proto.Field(
-        proto.INT32,
-        number=2,
-    )
-    page_token: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-    filter: str = proto.Field(
-        proto.STRING,
-        number=4,
-    )
-    order_by: str = proto.Field(
-        proto.STRING,
-        number=5,
-    )
-
-
-class ListZonesResponse(proto.Message):
-    r"""List zones response.
-
-    Attributes:
-        zones (MutableSequence[google.cloud.dataplex_v1.types.Zone]):
-            Zones under the given parent lake.
-        next_page_token (str):
-            Token to retrieve the next page of results,
-            or empty if there are no more results in the
-            list.
-    """
-
-    @property
-    def raw_page(self):
-        return self
-
-    zones: MutableSequence[resources.Zone] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=1,
-        message=resources.Zone,
-    )
-    next_page_token: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-
-
-class ListZoneActionsRequest(proto.Message):
-    r"""List zone actions request.
-
-    Attributes:
-        parent (str):
-            Required. The resource name of the parent zone:
-            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}``.
-        page_size (int):
-            Optional. Maximum number of actions to
-            return. The service may return fewer than this
-            value. If unspecified, at most 10 actions will
-            be returned. The maximum value is 1000; values
-            above 1000 will be coerced to 1000.
-        page_token (str):
-            Optional. Page token received from a previous
-            ``ListZoneActions`` call. Provide this to retrieve the
-            subsequent page. When paginating, all other parameters
-            provided to ``ListZoneActions`` must match the call that
-            provided the page token.
-    """
-
-    parent: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    page_size: int = proto.Field(
-        proto.INT32,
-        number=2,
-    )
-    page_token: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-
-
-class GetZoneRequest(proto.Message):
-    r"""Get zone request.
-
-    Attributes:
-        name (str):
-            Required. The resource name of the zone:
-            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}``.
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-
-
-class CreateAssetRequest(proto.Message):
-    r"""Create asset request.
-
-    Attributes:
-        parent (str):
-            Required. The resource name of the parent zone:
-            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}``.
-        asset_id (str):
-            Required. Asset identifier. This ID will be used to generate
-            names such as table names when publishing metadata to Hive
-            Metastore and BigQuery.
-
-            -  Must contain only lowercase letters, numbers and hyphens.
-            -  Must start with a letter.
-            -  Must end with a number or a letter.
-            -  Must be between 1-63 characters.
-            -  Must be unique within the zone.
-        asset (google.cloud.dataplex_v1.types.Asset):
-            Required. Asset resource.
-        validate_only (bool):
-            Optional. Only validate the request, but do
-            not perform mutations. The default is false.
-    """
-
-    parent: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    asset_id: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    asset: resources.Asset = proto.Field(
-        proto.MESSAGE,
-        number=3,
-        message=resources.Asset,
-    )
-    validate_only: bool = proto.Field(
-        proto.BOOL,
-        number=4,
-    )
-
-
-class UpdateAssetRequest(proto.Message):
-    r"""Update asset request.
-
-    Attributes:
-        update_mask (google.protobuf.field_mask_pb2.FieldMask):
-            Required. Mask of fields to update.
-        asset (google.cloud.dataplex_v1.types.Asset):
-            Required. Update description. Only fields specified in
-            ``update_mask`` are updated.
-        validate_only (bool):
-            Optional. Only validate the request, but do
-            not perform mutations. The default is false.
-    """
-
-    update_mask: field_mask_pb2.FieldMask = proto.Field(
-        proto.MESSAGE,
-        number=1,
-        message=field_mask_pb2.FieldMask,
-    )
-    asset: resources.Asset = proto.Field(
-        proto.MESSAGE,
-        number=2,
-        message=resources.Asset,
-    )
-    validate_only: bool = proto.Field(
-        proto.BOOL,
-        number=3,
-    )
-
-
-class DeleteAssetRequest(proto.Message):
-    r"""Delete asset request.
-
-    Attributes:
-        name (str):
-            Required. The resource name of the asset:
-            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/assets/{asset_id}``.
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-
-
-class ListAssetsRequest(proto.Message):
-    r"""List assets request.
-
-    Attributes:
-        parent (str):
-            Required. The resource name of the parent zone:
-            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}``.
-        page_size (int):
-            Optional. Maximum number of asset to return.
-            The service may return fewer than this value. If
-            unspecified, at most 10 assets will be returned.
-            The maximum value is 1000; values above 1000
-            will be coerced to 1000.
-        page_token (str):
-            Optional. Page token received from a previous ``ListAssets``
-            call. Provide this to retrieve the subsequent page. When
-            paginating, all other parameters provided to ``ListAssets``
-            must match the call that provided the page token.
-        filter (str):
-            Optional. Filter request.
-        order_by (str):
-            Optional. Order by fields for the result.
-    """
-
-    parent: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    page_size: int = proto.Field(
-        proto.INT32,
-        number=2,
-    )
-    page_token: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-    filter: str = proto.Field(
-        proto.STRING,
-        number=4,
-    )
-    order_by: str = proto.Field(
-        proto.STRING,
-        number=5,
-    )
-
-
-class ListAssetsResponse(proto.Message):
-    r"""List assets response.
-
-    Attributes:
-        assets (MutableSequence[google.cloud.dataplex_v1.types.Asset]):
-            Asset under the given parent zone.
-        next_page_token (str):
-            Token to retrieve the next page of results,
-            or empty if there are no more results in the
-            list.
-    """
-
-    @property
-    def raw_page(self):
-        return self
-
-    assets: MutableSequence[resources.Asset] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=1,
-        message=resources.Asset,
-    )
-    next_page_token: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-
-
-class ListAssetActionsRequest(proto.Message):
-    r"""List asset actions request.
-
-    Attributes:
-        parent (str):
-            Required. The resource name of the parent asset:
-            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/assets/{asset_id}``.
-        page_size (int):
-            Optional. Maximum number of actions to
-            return. The service may return fewer than this
-            value. If unspecified, at most 10 actions will
-            be returned. The maximum value is 1000; values
-            above 1000 will be coerced to 1000.
-        page_token (str):
-            Optional. Page token received from a previous
-            ``ListAssetActions`` call. Provide this to retrieve the
-            subsequent page. When paginating, all other parameters
-            provided to ``ListAssetActions`` must match the call that
-            provided the page token.
-    """
-
-    parent: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    page_size: int = proto.Field(
-        proto.INT32,
-        number=2,
-    )
-    page_token: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-
-
-class GetAssetRequest(proto.Message):
-    r"""Get asset request.
-
-    Attributes:
-        name (str):
-            Required. The resource name of the asset:
-            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/assets/{asset_id}``.
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-
-
-class OperationMetadata(proto.Message):
-    r"""Represents the metadata of a long-running operation.
-
-    Attributes:
-        create_time (google.protobuf.timestamp_pb2.Timestamp):
-            Output only. The time the operation was
-            created.
-        end_time (google.protobuf.timestamp_pb2.Timestamp):
-            Output only. The time the operation finished
-            running.
-        target (str):
-            Output only. Server-defined resource path for
-            the target of the operation.
-        verb (str):
-            Output only. Name of the verb executed by the
-            operation.
-        status_message (str):
-            Output only. Human-readable status of the
-            operation, if any.
-        requested_cancellation (bool):
-            Output only. Identifies whether the user has requested
-            cancellation of the operation. Operations that have
-            successfully been cancelled have [Operation.error][] value
-            with a [google.rpc.Status.code][google.rpc.Status.code] of
-            1, corresponding to ``Code.CANCELLED``.
-        api_version (str):
-            Output only. API version used to start the
-            operation.
-    """
-
-    create_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=1,
-        message=timestamp_pb2.Timestamp,
-    )
-    end_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=2,
-        message=timestamp_pb2.Timestamp,
-    )
-    target: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-    verb: str = proto.Field(
-        proto.STRING,
-        number=4,
-    )
-    status_message: str = proto.Field(
-        proto.STRING,
-        number=5,
-    )
-    requested_cancellation: bool = proto.Field(
-        proto.BOOL,
-        number=6,
-    )
-    api_version: str = proto.Field(
-        proto.STRING,
-        number=7,
-    )
-
-
-class CreateTaskRequest(proto.Message):
-    r"""Create task request.
-
-    Attributes:
-        parent (str):
-            Required. The resource name of the parent lake:
-            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}``.
-        task_id (str):
-            Required. Task identifier.
-        task (google.cloud.dataplex_v1.types.Task):
-            Required. Task resource.
-        validate_only (bool):
-            Optional. Only validate the request, but do
-            not perform mutations. The default is false.
-    """
-
-    parent: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    task_id: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    task: gcd_tasks.Task = proto.Field(
-        proto.MESSAGE,
-        number=3,
-        message=gcd_tasks.Task,
-    )
-    validate_only: bool = proto.Field(
-        proto.BOOL,
-        number=4,
-    )
-
-
-class UpdateTaskRequest(proto.Message):
-    r"""Update task request.
-
-    Attributes:
-        update_mask (google.protobuf.field_mask_pb2.FieldMask):
-            Required. Mask of fields to update.
-        task (google.cloud.dataplex_v1.types.Task):
-            Required. Update description. Only fields specified in
-            ``update_mask`` are updated.
-        validate_only (bool):
-            Optional. Only validate the request, but do
-            not perform mutations. The default is false.
-    """
-
-    update_mask: field_mask_pb2.FieldMask = proto.Field(
-        proto.MESSAGE,
-        number=1,
-        message=field_mask_pb2.FieldMask,
-    )
-    task: gcd_tasks.Task = proto.Field(
-        proto.MESSAGE,
-        number=2,
-        message=gcd_tasks.Task,
-    )
-    validate_only: bool = proto.Field(
-        proto.BOOL,
-        number=3,
-    )
-
-
-class DeleteTaskRequest(proto.Message):
-    r"""Delete task request.
-
-    Attributes:
-        name (str):
-            Required. The resource name of the task:
-            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/task/{task_id}``.
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-
-
-class ListTasksRequest(proto.Message):
-    r"""List tasks request.
-
-    Attributes:
-        parent (str):
-            Required. The resource name of the parent lake:
-            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}``.
-        page_size (int):
-            Optional. Maximum number of tasks to return.
-            The service may return fewer than this value. If
-            unspecified, at most 10 tasks will be returned.
-            The maximum value is 1000; values above 1000
-            will be coerced to 1000.
-        page_token (str):
-            Optional. Page token received from a previous ``ListZones``
-            call. Provide this to retrieve the subsequent page. When
-            paginating, all other parameters provided to ``ListZones``
-            must match the call that provided the page token.
-        filter (str):
-            Optional. Filter request.
-        order_by (str):
-            Optional. Order by fields for the result.
-    """
-
-    parent: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    page_size: int = proto.Field(
-        proto.INT32,
-        number=2,
-    )
-    page_token: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-    filter: str = proto.Field(
-        proto.STRING,
-        number=4,
-    )
-    order_by: str = proto.Field(
-        proto.STRING,
-        number=5,
-    )
-
-
-class ListTasksResponse(proto.Message):
-    r"""List tasks response.
-
-    Attributes:
-        tasks (MutableSequence[google.cloud.dataplex_v1.types.Task]):
-            Tasks under the given parent lake.
-        next_page_token (str):
-            Token to retrieve the next page of results,
-            or empty if there are no more results in the
-            list.
-        unreachable_locations (MutableSequence[str]):
-            Locations that could not be reached.
-    """
-
-    @property
-    def raw_page(self):
-        return self
-
-    tasks: MutableSequence[gcd_tasks.Task] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=1,
-        message=gcd_tasks.Task,
-    )
-    next_page_token: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    unreachable_locations: MutableSequence[str] = proto.RepeatedField(
-        proto.STRING,
-        number=3,
-    )
-
-
-class GetTaskRequest(proto.Message):
-    r"""Get task request.
-
-    Attributes:
-        name (str):
-            Required. The resource name of the task:
-            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/tasks/{tasks_id}``.
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-
-
-class GetJobRequest(proto.Message):
-    r"""Get job request.
-
-    Attributes:
-        name (str):
-            Required. The resource name of the job:
-            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/tasks/{task_id}/jobs/{job_id}``.
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-
-
-class RunTaskRequest(proto.Message):
-    r"""
-
-    Attributes:
-        name (str):
-            Required. The resource name of the task:
-            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/tasks/{task_id}``.
-        labels (MutableMapping[str, str]):
-            Optional. User-defined labels for the task.
-            If the map is left empty, the task will run with
-            existing labels from task definition. If the map
-            contains an entry with a new key, the same will
-            be added to existing set of labels. If the map
-            contains an entry with an existing label key in
-            task definition, the task will run with new
-            label value for that entry. Clearing an existing
-            label will require label value to be explicitly
-            set to a hyphen "-". The label value cannot be
-            empty.
-        args (MutableMapping[str, str]):
-            Optional. Execution spec arguments. If the
-            map is left empty, the task will run with
-            existing execution spec args from task
-            definition. If the map contains an entry with a
-            new key, the same will be added to existing set
-            of args. If the map contains an entry with an
-            existing arg key in task definition, the task
-            will run with new arg value for that entry.
-            Clearing an existing arg will require arg value
-            to be explicitly set to a hyphen "-". The arg
-            value cannot be empty.
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    labels: MutableMapping[str, str] = proto.MapField(
-        proto.STRING,
-        proto.STRING,
-        number=3,
-    )
-    args: MutableMapping[str, str] = proto.MapField(
-        proto.STRING,
-        proto.STRING,
-        number=4,
-    )
-
-
-class RunTaskResponse(proto.Message):
-    r"""
-
-    Attributes:
-        job (google.cloud.dataplex_v1.types.Job):
-            Jobs created by RunTask API.
-    """
-
-    job: gcd_tasks.Job = proto.Field(
-        proto.MESSAGE,
-        number=1,
-        message=gcd_tasks.Job,
-    )
-
-
-class ListJobsRequest(proto.Message):
-    r"""List jobs request.
-
-    Attributes:
-        parent (str):
-            Required. The resource name of the parent environment:
-            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/tasks/{task_id}``.
-        page_size (int):
-            Optional. Maximum number of jobs to return.
-            The service may return fewer than this value. If
-            unspecified, at most 10 jobs will be returned.
-            The maximum value is 1000; values above 1000
-            will be coerced to 1000.
-        page_token (str):
-            Optional. Page token received from a previous ``ListJobs``
-            call. Provide this to retrieve the subsequent page. When
-            paginating, all other parameters provided to ``ListJobs``
-            must match the call that provided the page token.
-    """
-
-    parent: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    page_size: int = proto.Field(
-        proto.INT32,
-        number=2,
-    )
-    page_token: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-
-
-class ListJobsResponse(proto.Message):
-    r"""List jobs response.
-
-    Attributes:
-        jobs (MutableSequence[google.cloud.dataplex_v1.types.Job]):
-            Jobs under a given task.
-        next_page_token (str):
-            Token to retrieve the next page of results,
-            or empty if there are no more results in the
-            list.
-    """
-
-    @property
-    def raw_page(self):
-        return self
-
-    jobs: MutableSequence[gcd_tasks.Job] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=1,
-        message=gcd_tasks.Job,
-    )
-    next_page_token: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-
-
-class CancelJobRequest(proto.Message):
-    r"""Cancel task jobs.
-
-    Attributes:
-        name (str):
-            Required. The resource name of the job:
-            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/task/{task_id}/job/{job_id}``.
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-
-
-class CreateEnvironmentRequest(proto.Message):
-    r"""Create environment request.
-
-    Attributes:
-        parent (str):
-            Required. The resource name of the parent lake:
-            ``projects/{project_id}/locations/{location_id}/lakes/{lake_id}``.
-        environment_id (str):
-            Required. Environment identifier.
-
-            -  Must contain only lowercase letters, numbers and hyphens.
-            -  Must start with a letter.
-            -  Must be between 1-63 characters.
-            -  Must end with a number or a letter.
-            -  Must be unique within the lake.
-        environment (google.cloud.dataplex_v1.types.Environment):
-            Required. Environment resource.
-        validate_only (bool):
-            Optional. Only validate the request, but do
-            not perform mutations. The default is false.
-    """
-
-    parent: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    environment_id: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    environment: analyze.Environment = proto.Field(
-        proto.MESSAGE,
-        number=3,
-        message=analyze.Environment,
-    )
-    validate_only: bool = proto.Field(
-        proto.BOOL,
-        number=4,
-    )
-
-
-class UpdateEnvironmentRequest(proto.Message):
-    r"""Update environment request.
-
-    Attributes:
-        update_mask (google.protobuf.field_mask_pb2.FieldMask):
-            Required. Mask of fields to update.
-        environment (google.cloud.dataplex_v1.types.Environment):
-            Required. Update description. Only fields specified in
-            ``update_mask`` are updated.
-        validate_only (bool):
-            Optional. Only validate the request, but do
-            not perform mutations. The default is false.
-    """
-
-    update_mask: field_mask_pb2.FieldMask = proto.Field(
-        proto.MESSAGE,
-        number=1,
-        message=field_mask_pb2.FieldMask,
-    )
-    environment: analyze.Environment = proto.Field(
-        proto.MESSAGE,
-        number=2,
-        message=analyze.Environment,
-    )
-    validate_only: bool = proto.Field(
-        proto.BOOL,
-        number=3,
-    )
-
-
-class DeleteEnvironmentRequest(proto.Message):
-    r"""Delete environment request.
-
-    Attributes:
-        name (str):
-            Required. The resource name of the environment:
-            ``projects/{project_id}/locations/{location_id}/lakes/{lake_id}/environments/{environment_id}``.
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-
-
-class ListEnvironmentsRequest(proto.Message):
-    r"""List environments request.
-
-    Attributes:
-        parent (str):
-            Required. The resource name of the parent lake:
-            ``projects/{project_id}/locations/{location_id}/lakes/{lake_id}``.
-        page_size (int):
-            Optional. Maximum number of environments to
-            return. The service may return fewer than this
-            value. If unspecified, at most 10 environments
-            will be returned. The maximum value is 1000;
-            values above 1000 will be coerced to 1000.
-        page_token (str):
-            Optional. Page token received from a previous
-            ``ListEnvironments`` call. Provide this to retrieve the
-            subsequent page. When paginating, all other parameters
-            provided to ``ListEnvironments`` must match the call that
-            provided the page token.
-        filter (str):
-            Optional. Filter request.
-        order_by (str):
-            Optional. Order by fields for the result.
-    """
-
-    parent: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    page_size: int = proto.Field(
-        proto.INT32,
-        number=2,
-    )
-    page_token: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-    filter: str = proto.Field(
-        proto.STRING,
-        number=4,
-    )
-    order_by: str = proto.Field(
-        proto.STRING,
-        number=5,
-    )
-
-
-class ListEnvironmentsResponse(proto.Message):
-    r"""List environments response.
-
-    Attributes:
-        environments (MutableSequence[google.cloud.dataplex_v1.types.Environment]):
-            Environments under the given parent lake.
-        next_page_token (str):
-            Token to retrieve the next page of results,
-            or empty if there are no more results in the
-            list.
-    """
-
-    @property
-    def raw_page(self):
-        return self
-
-    environments: MutableSequence[analyze.Environment] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=1,
-        message=analyze.Environment,
-    )
-    next_page_token: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-
-
-class GetEnvironmentRequest(proto.Message):
-    r"""Get environment request.
-
-    Attributes:
-        name (str):
-            Required. The resource name of the environment:
-            ``projects/{project_id}/locations/{location_id}/lakes/{lake_id}/environments/{environment_id}``.
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-
-
-class ListSessionsRequest(proto.Message):
-    r"""List sessions request.
-
-    Attributes:
-        parent (str):
-            Required. The resource name of the parent environment:
-            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/environment/{environment_id}``.
-        page_size (int):
-            Optional. Maximum number of sessions to
-            return. The service may return fewer than this
-            value. If unspecified, at most 10 sessions will
-            be returned. The maximum value is 1000; values
-            above 1000 will be coerced to 1000.
-        page_token (str):
-            Optional. Page token received from a previous
-            ``ListSessions`` call. Provide this to retrieve the
-            subsequent page. When paginating, all other parameters
-            provided to ``ListSessions`` must match the call that
-            provided the page token.
-        filter (str):
-            Optional. Filter request. The following ``mode`` filter is
-            supported to return only the sessions belonging to the
-            requester when the mode is USER and return sessions of all
-            the users when the mode is ADMIN. When no filter is sent
-            default to USER mode. NOTE: When the mode is ADMIN, the
-            requester should have
-            ``dataplex.environments.listAllSessions`` permission to list
-            all sessions, in absence of the permission, the request
-            fails.
-
-            mode = ADMIN \| USER
-    """
-
-    parent: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    page_size: int = proto.Field(
-        proto.INT32,
-        number=2,
-    )
-    page_token: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-    filter: str = proto.Field(
-        proto.STRING,
-        number=4,
-    )
-
-
-class ListSessionsResponse(proto.Message):
-    r"""List sessions response.
-
-    Attributes:
-        sessions (MutableSequence[google.cloud.dataplex_v1.types.Session]):
-            Sessions under a given environment.
-        next_page_token (str):
-            Token to retrieve the next page of results,
-            or empty if there are no more results in the
-            list.
-    """
-
-    @property
-    def raw_page(self):
-        return self
-
-    sessions: MutableSequence[analyze.Session] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=1,
-        message=analyze.Session,
-    )
-    next_page_token: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-
-
-__all__ = tuple(sorted(__protobuf__.manifest))
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/tasks.py b/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/tasks.py
deleted file mode 100644
index 3f0b83c776fc..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/tasks.py
+++ /dev/null
@@ -1,751 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from __future__ import annotations
-
-from typing import MutableMapping, MutableSequence
-
-import proto  # type: ignore
-
-from google.cloud.dataplex_v1.types import resources
-from google.protobuf import duration_pb2  # type: ignore
-from google.protobuf import timestamp_pb2  # type: ignore
-
-
-__protobuf__ = proto.module(
-    package='google.cloud.dataplex.v1',
-    manifest={
-        'Task',
-        'Job',
-    },
-)
-
-
-class Task(proto.Message):
-    r"""A task represents a user-visible job.
-
-    This message has `oneof`_ fields (mutually exclusive fields).
-    For each oneof, at most one member field can be set at the same time.
-    Setting any member of the oneof automatically clears all other
-    members.
-
-    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
-
-    Attributes:
-        name (str):
-            Output only. The relative resource name of the task, of the
-            form:
-            projects/{project_number}/locations/{location_id}/lakes/{lake_id}/
-            tasks/{task_id}.
-        uid (str):
-            Output only. System generated globally unique
-            ID for the task. This ID will be different if
-            the task is deleted and re-created with the same
-            name.
-        create_time (google.protobuf.timestamp_pb2.Timestamp):
-            Output only. The time when the task was
-            created.
-        update_time (google.protobuf.timestamp_pb2.Timestamp):
-            Output only. The time when the task was last
-            updated.
-        description (str):
-            Optional. Description of the task.
-        display_name (str):
-            Optional. User friendly display name.
-        state (google.cloud.dataplex_v1.types.State):
-            Output only. Current state of the task.
-        labels (MutableMapping[str, str]):
-            Optional. User-defined labels for the task.
-        trigger_spec (google.cloud.dataplex_v1.types.Task.TriggerSpec):
-            Required. Spec related to how often and when
-            a task should be triggered.
-        execution_spec (google.cloud.dataplex_v1.types.Task.ExecutionSpec):
-            Required. Spec related to how a task is
-            executed.
-        execution_status (google.cloud.dataplex_v1.types.Task.ExecutionStatus):
-            Output only. Status of the latest task
-            executions.
-        spark (google.cloud.dataplex_v1.types.Task.SparkTaskConfig):
-            Config related to running custom Spark tasks.
-
-            This field is a member of `oneof`_ ``config``.
-        notebook (google.cloud.dataplex_v1.types.Task.NotebookTaskConfig):
-            Config related to running scheduled
-            Notebooks.
-
-            This field is a member of `oneof`_ ``config``.
-    """
-
-    class InfrastructureSpec(proto.Message):
-        r"""Configuration for the underlying infrastructure used to run
-        workloads.
-
-
-        .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
-
-        Attributes:
-            batch (google.cloud.dataplex_v1.types.Task.InfrastructureSpec.BatchComputeResources):
-                Compute resources needed for a Task when
-                using Dataproc Serverless.
-
-                This field is a member of `oneof`_ ``resources``.
-            container_image (google.cloud.dataplex_v1.types.Task.InfrastructureSpec.ContainerImageRuntime):
-                Container Image Runtime Configuration.
-
-                This field is a member of `oneof`_ ``runtime``.
-            vpc_network (google.cloud.dataplex_v1.types.Task.InfrastructureSpec.VpcNetwork):
-                Vpc network.
-
-                This field is a member of `oneof`_ ``network``.
-        """
-
-        class BatchComputeResources(proto.Message):
-            r"""Batch compute resources associated with the task.
-
-            Attributes:
-                executors_count (int):
-                    Optional. Total number of job executors. Executor Count
-                    should be between 2 and 100. [Default=2]
-                max_executors_count (int):
-                    Optional. Max configurable executors. If max_executors_count
-                    > executors_count, then auto-scaling is enabled. Max
-                    Executor Count should be between 2 and 1000. [Default=1000]
-            """
-
-            executors_count: int = proto.Field(
-                proto.INT32,
-                number=1,
-            )
-            max_executors_count: int = proto.Field(
-                proto.INT32,
-                number=2,
-            )
-
-        class ContainerImageRuntime(proto.Message):
-            r"""Container Image Runtime Configuration used with Batch
-            execution.
-
-            Attributes:
-                image (str):
-                    Optional. Container image to use.
-                java_jars (MutableSequence[str]):
-                    Optional. A list of Java JARS to add to the
-                    classpath. Valid input includes Cloud Storage
-                    URIs to Jar binaries. For example,
-                    gs://bucket-name/my/path/to/file.jar
-                python_packages (MutableSequence[str]):
-                    Optional. A list of python packages to be
-                    installed. Valid formats include Cloud Storage
-                    URI to a PIP installable library. For example,
-                    gs://bucket-name/my/path/to/lib.tar.gz
-                properties (MutableMapping[str, str]):
-                    Optional. Override to common configuration of open source
-                    components installed on the Dataproc cluster. The properties
-                    to set on daemon config files. Property keys are specified
-                    in ``prefix:property`` format, for example
-                    ``core:hadoop.tmp.dir``. For more information, see `Cluster
-                    properties <https://cloud.google.com/dataproc/docs/concepts/cluster-properties>`__.
-            """
-
-            image: str = proto.Field(
-                proto.STRING,
-                number=1,
-            )
-            java_jars: MutableSequence[str] = proto.RepeatedField(
-                proto.STRING,
-                number=2,
-            )
-            python_packages: MutableSequence[str] = proto.RepeatedField(
-                proto.STRING,
-                number=3,
-            )
-            properties: MutableMapping[str, str] = proto.MapField(
-                proto.STRING,
-                proto.STRING,
-                number=4,
-            )
-
-        class VpcNetwork(proto.Message):
-            r"""Cloud VPC Network used to run the infrastructure.
-
-            This message has `oneof`_ fields (mutually exclusive fields).
-            For each oneof, at most one member field can be set at the same time.
-            Setting any member of the oneof automatically clears all other
-            members.
-
-            .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
-
-            Attributes:
-                network (str):
-                    Optional. The Cloud VPC network in which the
-                    job is run. By default, the Cloud VPC network
-                    named Default within the project is used.
-
-                    This field is a member of `oneof`_ ``network_name``.
-                sub_network (str):
-                    Optional. The Cloud VPC sub-network in which
-                    the job is run.
-
-                    This field is a member of `oneof`_ ``network_name``.
-                network_tags (MutableSequence[str]):
-                    Optional. List of network tags to apply to
-                    the job.
-            """
-
-            network: str = proto.Field(
-                proto.STRING,
-                number=1,
-                oneof='network_name',
-            )
-            sub_network: str = proto.Field(
-                proto.STRING,
-                number=2,
-                oneof='network_name',
-            )
-            network_tags: MutableSequence[str] = proto.RepeatedField(
-                proto.STRING,
-                number=3,
-            )
-
-        batch: 'Task.InfrastructureSpec.BatchComputeResources' = proto.Field(
-            proto.MESSAGE,
-            number=52,
-            oneof='resources',
-            message='Task.InfrastructureSpec.BatchComputeResources',
-        )
-        container_image: 'Task.InfrastructureSpec.ContainerImageRuntime' = proto.Field(
-            proto.MESSAGE,
-            number=101,
-            oneof='runtime',
-            message='Task.InfrastructureSpec.ContainerImageRuntime',
-        )
-        vpc_network: 'Task.InfrastructureSpec.VpcNetwork' = proto.Field(
-            proto.MESSAGE,
-            number=150,
-            oneof='network',
-            message='Task.InfrastructureSpec.VpcNetwork',
-        )
-
-    class TriggerSpec(proto.Message):
-        r"""Task scheduling and trigger settings.
-
-        .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
-
-        Attributes:
-            type_ (google.cloud.dataplex_v1.types.Task.TriggerSpec.Type):
-                Required. Immutable. Trigger type of the
-                user-specified Task.
-            start_time (google.protobuf.timestamp_pb2.Timestamp):
-                Optional. The first run of the task will be after this time.
-                If not specified, the task will run shortly after being
-                submitted if ON_DEMAND and based on the schedule if
-                RECURRING.
-            disabled (bool):
-                Optional. Prevent the task from executing.
-                This does not cancel already running tasks. It
-                is intended to temporarily disable RECURRING
-                tasks.
-            max_retries (int):
-                Optional. Number of retry attempts before
-                aborting. Set to zero to never attempt to retry
-                a failed task.
-            schedule (str):
-                Optional. Cron schedule (https://en.wikipedia.org/wiki/Cron)
-                for running tasks periodically. To explicitly set a timezone
-                to the cron tab, apply a prefix in the cron tab:
-                "CRON_TZ=${IANA_TIME_ZONE}" or "TZ=${IANA_TIME_ZONE}". The
-                ${IANA_TIME_ZONE} may only be a valid string from IANA time
-                zone database. For example,
-                ``CRON_TZ=America/New_York 1 * * * *``, or
-                ``TZ=America/New_York 1 * * * *``. This field is required
-                for RECURRING tasks.
-
-                This field is a member of `oneof`_ ``trigger``.
-        """
-        class Type(proto.Enum):
-            r"""Determines how often and when the job will run.
-
-            Values:
-                TYPE_UNSPECIFIED (0):
-                    Unspecified trigger type.
-                ON_DEMAND (1):
-                    The task runs one-time shortly after Task
-                    Creation.
-                RECURRING (2):
-                    The task is scheduled to run periodically.
-            """
-            TYPE_UNSPECIFIED = 0
-            ON_DEMAND = 1
-            RECURRING = 2
-
-        type_: 'Task.TriggerSpec.Type' = proto.Field(
-            proto.ENUM,
-            number=5,
-            enum='Task.TriggerSpec.Type',
-        )
-        start_time: timestamp_pb2.Timestamp = proto.Field(
-            proto.MESSAGE,
-            number=6,
-            message=timestamp_pb2.Timestamp,
-        )
-        disabled: bool = proto.Field(
-            proto.BOOL,
-            number=4,
-        )
-        max_retries: int = proto.Field(
-            proto.INT32,
-            number=7,
-        )
-        schedule: str = proto.Field(
-            proto.STRING,
-            number=100,
-            oneof='trigger',
-        )
-
-    class ExecutionSpec(proto.Message):
-        r"""Execution related settings, like retry and service_account.
-
-        Attributes:
-            args (MutableMapping[str, str]):
-                Optional. The arguments to pass to the task. The args can
-                use placeholders of the format ${placeholder} as part of
-                key/value string. These will be interpolated before passing
-                the args to the driver. Currently supported placeholders:
-
-                -  ${task_id}
-                -  ${job_time} To pass positional args, set the key as
-                   TASK_ARGS. The value should be a comma-separated string
-                   of all the positional arguments. To use a delimiter other
-                   than comma, refer to
-                   https://cloud.google.com/sdk/gcloud/reference/topic/escaping.
-                   In case of other keys being present in the args, then
-                   TASK_ARGS will be passed as the last argument.
-            service_account (str):
-                Required. Service account to use to execute a
-                task. If not provided, the default Compute
-                service account for the project is used.
-            project (str):
-                Optional. The project in which jobs are run. By default, the
-                project containing the Lake is used. If a project is
-                provided, the
-                [ExecutionSpec.service_account][google.cloud.dataplex.v1.Task.ExecutionSpec.service_account]
-                must belong to this project.
-            max_job_execution_lifetime (google.protobuf.duration_pb2.Duration):
-                Optional. The maximum duration after which
-                the job execution is expired.
-            kms_key (str):
-                Optional. The Cloud KMS key to use for encryption, of the
-                form:
-                ``projects/{project_number}/locations/{location_id}/keyRings/{key-ring-name}/cryptoKeys/{key-name}``.
-        """
-
-        args: MutableMapping[str, str] = proto.MapField(
-            proto.STRING,
-            proto.STRING,
-            number=4,
-        )
-        service_account: str = proto.Field(
-            proto.STRING,
-            number=5,
-        )
-        project: str = proto.Field(
-            proto.STRING,
-            number=7,
-        )
-        max_job_execution_lifetime: duration_pb2.Duration = proto.Field(
-            proto.MESSAGE,
-            number=8,
-            message=duration_pb2.Duration,
-        )
-        kms_key: str = proto.Field(
-            proto.STRING,
-            number=9,
-        )
-
-    class SparkTaskConfig(proto.Message):
-        r"""User-specified config for running a Spark task.
-
-        This message has `oneof`_ fields (mutually exclusive fields).
-        For each oneof, at most one member field can be set at the same time.
-        Setting any member of the oneof automatically clears all other
-        members.
-
-        .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
-
-        Attributes:
-            main_jar_file_uri (str):
-                The Cloud Storage URI of the jar file that contains the main
-                class. The execution args are passed in as a sequence of
-                named process arguments (``--key=value``).
-
-                This field is a member of `oneof`_ ``driver``.
-            main_class (str):
-                The name of the driver's main class. The jar file that
-                contains the class must be in the default CLASSPATH or
-                specified in ``jar_file_uris``. The execution args are
-                passed in as a sequence of named process arguments
-                (``--key=value``).
-
-                This field is a member of `oneof`_ ``driver``.
-            python_script_file (str):
-                The Gcloud Storage URI of the main Python file to use as the
-                driver. Must be a .py file. The execution args are passed in
-                as a sequence of named process arguments (``--key=value``).
-
-                This field is a member of `oneof`_ ``driver``.
-            sql_script_file (str):
-                A reference to a query file. This should be the Cloud
-                Storage URI of the query file. The execution args are used
-                to declare a set of script variables (``set key="value";``).
-
-                This field is a member of `oneof`_ ``driver``.
-            sql_script (str):
-                The query text. The execution args are used to declare a set
-                of script variables (``set key="value";``).
-
-                This field is a member of `oneof`_ ``driver``.
-            file_uris (MutableSequence[str]):
-                Optional. Cloud Storage URIs of files to be
-                placed in the working directory of each
-                executor.
-            archive_uris (MutableSequence[str]):
-                Optional. Cloud Storage URIs of archives to
-                be extracted into the working directory of each
-                executor. Supported file types: .jar, .tar,
-                .tar.gz, .tgz, and .zip.
-            infrastructure_spec (google.cloud.dataplex_v1.types.Task.InfrastructureSpec):
-                Optional. Infrastructure specification for
-                the execution.
-        """
-
-        main_jar_file_uri: str = proto.Field(
-            proto.STRING,
-            number=100,
-            oneof='driver',
-        )
-        main_class: str = proto.Field(
-            proto.STRING,
-            number=101,
-            oneof='driver',
-        )
-        python_script_file: str = proto.Field(
-            proto.STRING,
-            number=102,
-            oneof='driver',
-        )
-        sql_script_file: str = proto.Field(
-            proto.STRING,
-            number=104,
-            oneof='driver',
-        )
-        sql_script: str = proto.Field(
-            proto.STRING,
-            number=105,
-            oneof='driver',
-        )
-        file_uris: MutableSequence[str] = proto.RepeatedField(
-            proto.STRING,
-            number=3,
-        )
-        archive_uris: MutableSequence[str] = proto.RepeatedField(
-            proto.STRING,
-            number=4,
-        )
-        infrastructure_spec: 'Task.InfrastructureSpec' = proto.Field(
-            proto.MESSAGE,
-            number=6,
-            message='Task.InfrastructureSpec',
-        )
-
-    class NotebookTaskConfig(proto.Message):
-        r"""Config for running scheduled notebooks.
-
-        Attributes:
-            notebook (str):
-                Required. Path to input notebook. This can be the Cloud
-                Storage URI of the notebook file or the path to a Notebook
-                Content. The execution args are accessible as environment
-                variables (``TASK_key=value``).
-            infrastructure_spec (google.cloud.dataplex_v1.types.Task.InfrastructureSpec):
-                Optional. Infrastructure specification for
-                the execution.
-            file_uris (MutableSequence[str]):
-                Optional. Cloud Storage URIs of files to be
-                placed in the working directory of each
-                executor.
-            archive_uris (MutableSequence[str]):
-                Optional. Cloud Storage URIs of archives to
-                be extracted into the working directory of each
-                executor. Supported file types: .jar, .tar,
-                .tar.gz, .tgz, and .zip.
-        """
-
-        notebook: str = proto.Field(
-            proto.STRING,
-            number=4,
-        )
-        infrastructure_spec: 'Task.InfrastructureSpec' = proto.Field(
-            proto.MESSAGE,
-            number=3,
-            message='Task.InfrastructureSpec',
-        )
-        file_uris: MutableSequence[str] = proto.RepeatedField(
-            proto.STRING,
-            number=5,
-        )
-        archive_uris: MutableSequence[str] = proto.RepeatedField(
-            proto.STRING,
-            number=6,
-        )
-
-    class ExecutionStatus(proto.Message):
-        r"""Status of the task execution (e.g. Jobs).
-
-        Attributes:
-            update_time (google.protobuf.timestamp_pb2.Timestamp):
-                Output only. Last update time of the status.
-            latest_job (google.cloud.dataplex_v1.types.Job):
-                Output only. latest job execution
-        """
-
-        update_time: timestamp_pb2.Timestamp = proto.Field(
-            proto.MESSAGE,
-            number=3,
-            message=timestamp_pb2.Timestamp,
-        )
-        latest_job: 'Job' = proto.Field(
-            proto.MESSAGE,
-            number=9,
-            message='Job',
-        )
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    uid: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    create_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=3,
-        message=timestamp_pb2.Timestamp,
-    )
-    update_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=4,
-        message=timestamp_pb2.Timestamp,
-    )
-    description: str = proto.Field(
-        proto.STRING,
-        number=5,
-    )
-    display_name: str = proto.Field(
-        proto.STRING,
-        number=6,
-    )
-    state: resources.State = proto.Field(
-        proto.ENUM,
-        number=7,
-        enum=resources.State,
-    )
-    labels: MutableMapping[str, str] = proto.MapField(
-        proto.STRING,
-        proto.STRING,
-        number=8,
-    )
-    trigger_spec: TriggerSpec = proto.Field(
-        proto.MESSAGE,
-        number=100,
-        message=TriggerSpec,
-    )
-    execution_spec: ExecutionSpec = proto.Field(
-        proto.MESSAGE,
-        number=101,
-        message=ExecutionSpec,
-    )
-    execution_status: ExecutionStatus = proto.Field(
-        proto.MESSAGE,
-        number=201,
-        message=ExecutionStatus,
-    )
-    spark: SparkTaskConfig = proto.Field(
-        proto.MESSAGE,
-        number=300,
-        oneof='config',
-        message=SparkTaskConfig,
-    )
-    notebook: NotebookTaskConfig = proto.Field(
-        proto.MESSAGE,
-        number=302,
-        oneof='config',
-        message=NotebookTaskConfig,
-    )
-
-
-class Job(proto.Message):
-    r"""A job represents an instance of a task.
-
-    Attributes:
-        name (str):
-            Output only. The relative resource name of the job, of the
-            form:
-            ``projects/{project_number}/locations/{location_id}/lakes/{lake_id}/tasks/{task_id}/jobs/{job_id}``.
-        uid (str):
-            Output only. System generated globally unique
-            ID for the job.
-        start_time (google.protobuf.timestamp_pb2.Timestamp):
-            Output only. The time when the job was
-            started.
-        end_time (google.protobuf.timestamp_pb2.Timestamp):
-            Output only. The time when the job ended.
-        state (google.cloud.dataplex_v1.types.Job.State):
-            Output only. Execution state for the job.
-        retry_count (int):
-            Output only. The number of times the job has
-            been retried (excluding the initial attempt).
-        service (google.cloud.dataplex_v1.types.Job.Service):
-            Output only. The underlying service running a
-            job.
-        service_job (str):
-            Output only. The full resource name for the
-            job run under a particular service.
-        message (str):
-            Output only. Additional information about the
-            current state.
-        labels (MutableMapping[str, str]):
-            Output only. User-defined labels for the
-            task.
-        trigger (google.cloud.dataplex_v1.types.Job.Trigger):
-            Output only. Job execution trigger.
-        execution_spec (google.cloud.dataplex_v1.types.Task.ExecutionSpec):
-            Output only. Spec related to how a task is
-            executed.
-    """
-    class Service(proto.Enum):
-        r"""
-
-        Values:
-            SERVICE_UNSPECIFIED (0):
-                Service used to run the job is unspecified.
-            DATAPROC (1):
-                Dataproc service is used to run this job.
-        """
-        SERVICE_UNSPECIFIED = 0
-        DATAPROC = 1
-
-    class State(proto.Enum):
-        r"""
-
-        Values:
-            STATE_UNSPECIFIED (0):
-                The job state is unknown.
-            RUNNING (1):
-                The job is running.
-            CANCELLING (2):
-                The job is cancelling.
-            CANCELLED (3):
-                The job cancellation was successful.
-            SUCCEEDED (4):
-                The job completed successfully.
-            FAILED (5):
-                The job is no longer running due to an error.
-            ABORTED (6):
-                The job was cancelled outside of Dataplex.
-        """
-        STATE_UNSPECIFIED = 0
-        RUNNING = 1
-        CANCELLING = 2
-        CANCELLED = 3
-        SUCCEEDED = 4
-        FAILED = 5
-        ABORTED = 6
-
-    class Trigger(proto.Enum):
-        r"""Job execution trigger.
-
-        Values:
-            TRIGGER_UNSPECIFIED (0):
-                The trigger is unspecified.
-            TASK_CONFIG (1):
-                The job was triggered by Dataplex based on
-                trigger spec from task definition.
-            RUN_REQUEST (2):
-                The job was triggered by the explicit call of
-                Task API.
-        """
-        TRIGGER_UNSPECIFIED = 0
-        TASK_CONFIG = 1
-        RUN_REQUEST = 2
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    uid: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    start_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=3,
-        message=timestamp_pb2.Timestamp,
-    )
-    end_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=4,
-        message=timestamp_pb2.Timestamp,
-    )
-    state: State = proto.Field(
-        proto.ENUM,
-        number=5,
-        enum=State,
-    )
-    retry_count: int = proto.Field(
-        proto.UINT32,
-        number=6,
-    )
-    service: Service = proto.Field(
-        proto.ENUM,
-        number=7,
-        enum=Service,
-    )
-    service_job: str = proto.Field(
-        proto.STRING,
-        number=8,
-    )
-    message: str = proto.Field(
-        proto.STRING,
-        number=9,
-    )
-    labels: MutableMapping[str, str] = proto.MapField(
-        proto.STRING,
-        proto.STRING,
-        number=10,
-    )
-    trigger: Trigger = proto.Field(
-        proto.ENUM,
-        number=11,
-        enum=Trigger,
-    )
-    execution_spec: 'Task.ExecutionSpec' = proto.Field(
-        proto.MESSAGE,
-        number=100,
-        message='Task.ExecutionSpec',
-    )
-
-
-__all__ = tuple(sorted(__protobuf__.manifest))
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/mypy.ini b/owl-bot-staging/google-cloud-dataplex/v1/mypy.ini
deleted file mode 100644
index 574c5aed394b..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/mypy.ini
+++ /dev/null
@@ -1,3 +0,0 @@
-[mypy]
-python_version = 3.7
-namespace_packages = True
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/noxfile.py b/owl-bot-staging/google-cloud-dataplex/v1/noxfile.py
deleted file mode 100644
index a1ad2c6fe6c7..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/noxfile.py
+++ /dev/null
@@ -1,280 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-import os
-import pathlib
-import re
-import shutil
-import subprocess
-import sys
-
-
-import nox  # type: ignore
-
-ALL_PYTHON = [
-    "3.7",
-    "3.8",
-    "3.9",
-    "3.10",
-    "3.11",
-    "3.12",
-    "3.13",
-]
-
-CURRENT_DIRECTORY = pathlib.Path(__file__).parent.absolute()
-
-LOWER_BOUND_CONSTRAINTS_FILE = CURRENT_DIRECTORY / "constraints.txt"
-PACKAGE_NAME = 'google-cloud-dataplex'
-
-BLACK_VERSION = "black==22.3.0"
-BLACK_PATHS = ["docs", "google", "tests", "samples", "noxfile.py", "setup.py"]
-DEFAULT_PYTHON_VERSION = "3.13"
-
-nox.sessions = [
-    "unit",
-    "cover",
-    "mypy",
-    "check_lower_bounds"
-    # exclude update_lower_bounds from default
-    "docs",
-    "blacken",
-    "lint",
-    "prerelease_deps",
-]
-
-@nox.session(python=ALL_PYTHON)
-@nox.parametrize(
-    "protobuf_implementation",
-    [ "python", "upb", "cpp" ],
-)
-def unit(session, protobuf_implementation):
-    """Run the unit test suite."""
-
-    if protobuf_implementation == "cpp" and session.python in ("3.11", "3.12", "3.13"):
-        session.skip("cpp implementation is not supported in python 3.11+")
-
-    session.install('coverage', 'pytest', 'pytest-cov', 'pytest-asyncio', 'asyncmock; python_version < "3.8"')
-    session.install('-e', '.', "-c", f"testing/constraints-{session.python}.txt")
-
-    # Remove the 'cpp' implementation once support for Protobuf 3.x is dropped.
-    # The 'cpp' implementation requires Protobuf<4.
-    if protobuf_implementation == "cpp":
-        session.install("protobuf<4")
-
-    session.run(
-        'py.test',
-        '--quiet',
-        '--cov=google/cloud/dataplex_v1/',
-        '--cov=tests/',
-        '--cov-config=.coveragerc',
-        '--cov-report=term',
-        '--cov-report=html',
-        os.path.join('tests', 'unit', ''.join(session.posargs)),
-        env={
-            "PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION": protobuf_implementation,
-        },
-    )
-
-@nox.session(python=ALL_PYTHON[-1])
-@nox.parametrize(
-    "protobuf_implementation",
-    [ "python", "upb", "cpp" ],
-)
-def prerelease_deps(session, protobuf_implementation):
-    """Run the unit test suite against pre-release versions of dependencies."""
-
-    if protobuf_implementation == "cpp" and session.python in ("3.11", "3.12", "3.13"):
-        session.skip("cpp implementation is not supported in python 3.11+")
-
-    # Install test environment dependencies
-    session.install('coverage', 'pytest', 'pytest-cov', 'pytest-asyncio', 'asyncmock; python_version < "3.8"')
-
-    # Install the package without dependencies
-    session.install('-e', '.', '--no-deps')
-
-    # We test the minimum dependency versions using the minimum Python
-    # version so the lowest python runtime that we test has a corresponding constraints
-    # file, located at `testing/constraints-<version>-.txt`,  which contains all of the
-    # dependencies and extras.
-    with open(
-        CURRENT_DIRECTORY
-        / "testing"
-        / f"constraints-{ALL_PYTHON[0]}.txt",
-        encoding="utf-8",
-    ) as constraints_file:
-        constraints_text = constraints_file.read()
-
-    # Ignore leading whitespace and comment lines.
-    constraints_deps = [
-        match.group(1)
-        for match in re.finditer(
-            r"^\s*(\S+)(?===\S+)", constraints_text, flags=re.MULTILINE
-        )
-    ]
-
-    session.install(*constraints_deps)
-
-    prerel_deps = [
-        "googleapis-common-protos",
-        "google-api-core",
-        "google-auth",
-        # Exclude grpcio!=1.67.0rc1 which does not support python 3.13
-        "grpcio!=1.67.0rc1",
-        "grpcio-status",
-        "protobuf",
-        "proto-plus",
-    ]
-
-    for dep in prerel_deps:
-        session.install("--pre", "--no-deps", "--upgrade", dep)
-
-    # Remaining dependencies
-    other_deps = [
-        "requests",
-    ]
-    session.install(*other_deps)
-
-    # Print out prerelease package versions
-
-    session.run("python", "-c", "import google.api_core; print(google.api_core.__version__)")
-    session.run("python", "-c", "import google.auth; print(google.auth.__version__)")
-    session.run("python", "-c", "import grpc; print(grpc.__version__)")
-    session.run(
-        "python", "-c", "import google.protobuf; print(google.protobuf.__version__)"
-    )
-    session.run(
-        "python", "-c", "import proto; print(proto.__version__)"
-    )
-
-    session.run(
-        'py.test',
-        '--quiet',
-        '--cov=google/cloud/dataplex_v1/',
-        '--cov=tests/',
-        '--cov-config=.coveragerc',
-        '--cov-report=term',
-        '--cov-report=html',
-        os.path.join('tests', 'unit', ''.join(session.posargs)),
-        env={
-            "PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION": protobuf_implementation,
-        },
-    )
-
-
-@nox.session(python=DEFAULT_PYTHON_VERSION)
-def cover(session):
-    """Run the final coverage report.
-    This outputs the coverage report aggregating coverage from the unit
-    test runs (not system test runs), and then erases coverage data.
-    """
-    session.install("coverage", "pytest-cov")
-    session.run("coverage", "report", "--show-missing", "--fail-under=100")
-
-    session.run("coverage", "erase")
-
-
-@nox.session(python=ALL_PYTHON)
-def mypy(session):
-    """Run the type checker."""
-    session.install(
-        'mypy',
-        'types-requests',
-        'types-protobuf'
-    )
-    session.install('.')
-    session.run(
-        'mypy',
-        '-p',
-        'google',
-    )
-
-
-@nox.session
-def update_lower_bounds(session):
-    """Update lower bounds in constraints.txt to match setup.py"""
-    session.install('google-cloud-testutils')
-    session.install('.')
-
-    session.run(
-        'lower-bound-checker',
-        'update',
-        '--package-name',
-        PACKAGE_NAME,
-        '--constraints-file',
-        str(LOWER_BOUND_CONSTRAINTS_FILE),
-    )
-
-
-@nox.session
-def check_lower_bounds(session):
-    """Check lower bounds in setup.py are reflected in constraints file"""
-    session.install('google-cloud-testutils')
-    session.install('.')
-
-    session.run(
-        'lower-bound-checker',
-        'check',
-        '--package-name',
-        PACKAGE_NAME,
-        '--constraints-file',
-        str(LOWER_BOUND_CONSTRAINTS_FILE),
-    )
-
-@nox.session(python=DEFAULT_PYTHON_VERSION)
-def docs(session):
-    """Build the docs for this library."""
-
-    session.install("-e", ".")
-    session.install("sphinx==7.0.1", "alabaster", "recommonmark")
-
-    shutil.rmtree(os.path.join("docs", "_build"), ignore_errors=True)
-    session.run(
-        "sphinx-build",
-        "-W",  # warnings as errors
-        "-T",  # show full traceback on exception
-        "-N",  # no colors
-        "-b",
-        "html",
-        "-d",
-        os.path.join("docs", "_build", "doctrees", ""),
-        os.path.join("docs", ""),
-        os.path.join("docs", "_build", "html", ""),
-    )
-
-
-@nox.session(python=DEFAULT_PYTHON_VERSION)
-def lint(session):
-    """Run linters.
-
-    Returns a failure if the linters find linting errors or sufficiently
-    serious code quality issues.
-    """
-    session.install("flake8", BLACK_VERSION)
-    session.run(
-        "black",
-        "--check",
-        *BLACK_PATHS,
-    )
-    session.run("flake8", "google", "tests", "samples")
-
-
-@nox.session(python=DEFAULT_PYTHON_VERSION)
-def blacken(session):
-    """Run black. Format code to uniform standard."""
-    session.install(BLACK_VERSION)
-    session.run(
-        "black",
-        *BLACK_PATHS,
-    )
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_aspect_type_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_aspect_type_async.py
deleted file mode 100644
index 755b258dfcdc..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_aspect_type_async.py
+++ /dev/null
@@ -1,62 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for CreateAspectType
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_CatalogService_CreateAspectType_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_create_aspect_type():
-    # Create a client
-    client = dataplex_v1.CatalogServiceAsyncClient()
-
-    # Initialize request argument(s)
-    aspect_type = dataplex_v1.AspectType()
-    aspect_type.metadata_template.name = "name_value"
-    aspect_type.metadata_template.type_ = "type__value"
-
-    request = dataplex_v1.CreateAspectTypeRequest(
-        parent="parent_value",
-        aspect_type_id="aspect_type_id_value",
-        aspect_type=aspect_type,
-    )
-
-    # Make the request
-    operation = client.create_aspect_type(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = (await operation).result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_CatalogService_CreateAspectType_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_aspect_type_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_aspect_type_sync.py
deleted file mode 100644
index 86dc1d13724d..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_aspect_type_sync.py
+++ /dev/null
@@ -1,62 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for CreateAspectType
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_CatalogService_CreateAspectType_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_create_aspect_type():
-    # Create a client
-    client = dataplex_v1.CatalogServiceClient()
-
-    # Initialize request argument(s)
-    aspect_type = dataplex_v1.AspectType()
-    aspect_type.metadata_template.name = "name_value"
-    aspect_type.metadata_template.type_ = "type__value"
-
-    request = dataplex_v1.CreateAspectTypeRequest(
-        parent="parent_value",
-        aspect_type_id="aspect_type_id_value",
-        aspect_type=aspect_type,
-    )
-
-    # Make the request
-    operation = client.create_aspect_type(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = operation.result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_CatalogService_CreateAspectType_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_entry_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_entry_async.py
deleted file mode 100644
index 05e1e13996e8..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_entry_async.py
+++ /dev/null
@@ -1,57 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for CreateEntry
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_CatalogService_CreateEntry_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_create_entry():
-    # Create a client
-    client = dataplex_v1.CatalogServiceAsyncClient()
-
-    # Initialize request argument(s)
-    entry = dataplex_v1.Entry()
-    entry.entry_type = "entry_type_value"
-
-    request = dataplex_v1.CreateEntryRequest(
-        parent="parent_value",
-        entry_id="entry_id_value",
-        entry=entry,
-    )
-
-    # Make the request
-    response = await client.create_entry(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_CatalogService_CreateEntry_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_entry_group_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_entry_group_async.py
deleted file mode 100644
index 4ffcdc99175a..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_entry_group_async.py
+++ /dev/null
@@ -1,57 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for CreateEntryGroup
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_CatalogService_CreateEntryGroup_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_create_entry_group():
-    # Create a client
-    client = dataplex_v1.CatalogServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.CreateEntryGroupRequest(
-        parent="parent_value",
-        entry_group_id="entry_group_id_value",
-    )
-
-    # Make the request
-    operation = client.create_entry_group(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = (await operation).result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_CatalogService_CreateEntryGroup_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_entry_group_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_entry_group_sync.py
deleted file mode 100644
index 8ce69f86a352..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_entry_group_sync.py
+++ /dev/null
@@ -1,57 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for CreateEntryGroup
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_CatalogService_CreateEntryGroup_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_create_entry_group():
-    # Create a client
-    client = dataplex_v1.CatalogServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.CreateEntryGroupRequest(
-        parent="parent_value",
-        entry_group_id="entry_group_id_value",
-    )
-
-    # Make the request
-    operation = client.create_entry_group(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = operation.result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_CatalogService_CreateEntryGroup_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_entry_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_entry_sync.py
deleted file mode 100644
index a0b18212967b..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_entry_sync.py
+++ /dev/null
@@ -1,57 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for CreateEntry
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_CatalogService_CreateEntry_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_create_entry():
-    # Create a client
-    client = dataplex_v1.CatalogServiceClient()
-
-    # Initialize request argument(s)
-    entry = dataplex_v1.Entry()
-    entry.entry_type = "entry_type_value"
-
-    request = dataplex_v1.CreateEntryRequest(
-        parent="parent_value",
-        entry_id="entry_id_value",
-        entry=entry,
-    )
-
-    # Make the request
-    response = client.create_entry(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_CatalogService_CreateEntry_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_entry_type_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_entry_type_async.py
deleted file mode 100644
index 545b7267de18..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_entry_type_async.py
+++ /dev/null
@@ -1,57 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for CreateEntryType
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_CatalogService_CreateEntryType_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_create_entry_type():
-    # Create a client
-    client = dataplex_v1.CatalogServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.CreateEntryTypeRequest(
-        parent="parent_value",
-        entry_type_id="entry_type_id_value",
-    )
-
-    # Make the request
-    operation = client.create_entry_type(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = (await operation).result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_CatalogService_CreateEntryType_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_entry_type_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_entry_type_sync.py
deleted file mode 100644
index 6bed1ae44985..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_entry_type_sync.py
+++ /dev/null
@@ -1,57 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for CreateEntryType
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_CatalogService_CreateEntryType_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_create_entry_type():
-    # Create a client
-    client = dataplex_v1.CatalogServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.CreateEntryTypeRequest(
-        parent="parent_value",
-        entry_type_id="entry_type_id_value",
-    )
-
-    # Make the request
-    operation = client.create_entry_type(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = operation.result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_CatalogService_CreateEntryType_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_delete_aspect_type_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_delete_aspect_type_async.py
deleted file mode 100644
index 787280513289..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_delete_aspect_type_async.py
+++ /dev/null
@@ -1,56 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for DeleteAspectType
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_CatalogService_DeleteAspectType_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_delete_aspect_type():
-    # Create a client
-    client = dataplex_v1.CatalogServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.DeleteAspectTypeRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    operation = client.delete_aspect_type(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = (await operation).result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_CatalogService_DeleteAspectType_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_delete_aspect_type_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_delete_aspect_type_sync.py
deleted file mode 100644
index ce89096f240b..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_delete_aspect_type_sync.py
+++ /dev/null
@@ -1,56 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for DeleteAspectType
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_CatalogService_DeleteAspectType_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_delete_aspect_type():
-    # Create a client
-    client = dataplex_v1.CatalogServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.DeleteAspectTypeRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    operation = client.delete_aspect_type(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = operation.result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_CatalogService_DeleteAspectType_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_delete_entry_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_delete_entry_async.py
deleted file mode 100644
index 3351c7f53839..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_delete_entry_async.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for DeleteEntry
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_CatalogService_DeleteEntry_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_delete_entry():
-    # Create a client
-    client = dataplex_v1.CatalogServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.DeleteEntryRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = await client.delete_entry(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_CatalogService_DeleteEntry_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_delete_entry_group_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_delete_entry_group_async.py
deleted file mode 100644
index 019b3acb22c2..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_delete_entry_group_async.py
+++ /dev/null
@@ -1,56 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for DeleteEntryGroup
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_CatalogService_DeleteEntryGroup_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_delete_entry_group():
-    # Create a client
-    client = dataplex_v1.CatalogServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.DeleteEntryGroupRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    operation = client.delete_entry_group(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = (await operation).result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_CatalogService_DeleteEntryGroup_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_delete_entry_group_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_delete_entry_group_sync.py
deleted file mode 100644
index b7cb7aa70933..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_delete_entry_group_sync.py
+++ /dev/null
@@ -1,56 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for DeleteEntryGroup
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_CatalogService_DeleteEntryGroup_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_delete_entry_group():
-    # Create a client
-    client = dataplex_v1.CatalogServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.DeleteEntryGroupRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    operation = client.delete_entry_group(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = operation.result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_CatalogService_DeleteEntryGroup_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_delete_entry_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_delete_entry_sync.py
deleted file mode 100644
index 6c772dc5c765..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_delete_entry_sync.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for DeleteEntry
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_CatalogService_DeleteEntry_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_delete_entry():
-    # Create a client
-    client = dataplex_v1.CatalogServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.DeleteEntryRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = client.delete_entry(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_CatalogService_DeleteEntry_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_delete_entry_type_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_delete_entry_type_async.py
deleted file mode 100644
index 666df269d16d..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_delete_entry_type_async.py
+++ /dev/null
@@ -1,56 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for DeleteEntryType
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_CatalogService_DeleteEntryType_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_delete_entry_type():
-    # Create a client
-    client = dataplex_v1.CatalogServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.DeleteEntryTypeRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    operation = client.delete_entry_type(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = (await operation).result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_CatalogService_DeleteEntryType_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_delete_entry_type_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_delete_entry_type_sync.py
deleted file mode 100644
index 91f695f2841e..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_delete_entry_type_sync.py
+++ /dev/null
@@ -1,56 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for DeleteEntryType
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_CatalogService_DeleteEntryType_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_delete_entry_type():
-    # Create a client
-    client = dataplex_v1.CatalogServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.DeleteEntryTypeRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    operation = client.delete_entry_type(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = operation.result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_CatalogService_DeleteEntryType_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_aspect_type_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_aspect_type_async.py
deleted file mode 100644
index 81d3d81b8f26..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_aspect_type_async.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for GetAspectType
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_CatalogService_GetAspectType_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_get_aspect_type():
-    # Create a client
-    client = dataplex_v1.CatalogServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.GetAspectTypeRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = await client.get_aspect_type(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_CatalogService_GetAspectType_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_aspect_type_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_aspect_type_sync.py
deleted file mode 100644
index 2c3b728838b7..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_aspect_type_sync.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for GetAspectType
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_CatalogService_GetAspectType_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_get_aspect_type():
-    # Create a client
-    client = dataplex_v1.CatalogServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.GetAspectTypeRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = client.get_aspect_type(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_CatalogService_GetAspectType_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_entry_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_entry_async.py
deleted file mode 100644
index b996bab77591..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_entry_async.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for GetEntry
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_CatalogService_GetEntry_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_get_entry():
-    # Create a client
-    client = dataplex_v1.CatalogServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.GetEntryRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = await client.get_entry(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_CatalogService_GetEntry_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_entry_group_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_entry_group_async.py
deleted file mode 100644
index e0669aadb927..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_entry_group_async.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for GetEntryGroup
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_CatalogService_GetEntryGroup_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_get_entry_group():
-    # Create a client
-    client = dataplex_v1.CatalogServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.GetEntryGroupRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = await client.get_entry_group(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_CatalogService_GetEntryGroup_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_entry_group_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_entry_group_sync.py
deleted file mode 100644
index 95c037a589b6..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_entry_group_sync.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for GetEntryGroup
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_CatalogService_GetEntryGroup_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_get_entry_group():
-    # Create a client
-    client = dataplex_v1.CatalogServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.GetEntryGroupRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = client.get_entry_group(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_CatalogService_GetEntryGroup_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_entry_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_entry_sync.py
deleted file mode 100644
index b53082957bfa..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_entry_sync.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for GetEntry
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_CatalogService_GetEntry_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_get_entry():
-    # Create a client
-    client = dataplex_v1.CatalogServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.GetEntryRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = client.get_entry(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_CatalogService_GetEntry_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_entry_type_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_entry_type_async.py
deleted file mode 100644
index 58083a001b8a..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_entry_type_async.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for GetEntryType
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_CatalogService_GetEntryType_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_get_entry_type():
-    # Create a client
-    client = dataplex_v1.CatalogServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.GetEntryTypeRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = await client.get_entry_type(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_CatalogService_GetEntryType_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_entry_type_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_entry_type_sync.py
deleted file mode 100644
index 4098fc417a9e..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_entry_type_sync.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for GetEntryType
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_CatalogService_GetEntryType_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_get_entry_type():
-    # Create a client
-    client = dataplex_v1.CatalogServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.GetEntryTypeRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = client.get_entry_type(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_CatalogService_GetEntryType_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_aspect_types_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_aspect_types_async.py
deleted file mode 100644
index 64778a1cfb7a..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_aspect_types_async.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListAspectTypes
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_CatalogService_ListAspectTypes_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_list_aspect_types():
-    # Create a client
-    client = dataplex_v1.CatalogServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.ListAspectTypesRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    page_result = client.list_aspect_types(request=request)
-
-    # Handle the response
-    async for response in page_result:
-        print(response)
-
-# [END dataplex_v1_generated_CatalogService_ListAspectTypes_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_aspect_types_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_aspect_types_sync.py
deleted file mode 100644
index 9a8cd1eec4cb..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_aspect_types_sync.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListAspectTypes
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_CatalogService_ListAspectTypes_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_list_aspect_types():
-    # Create a client
-    client = dataplex_v1.CatalogServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.ListAspectTypesRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    page_result = client.list_aspect_types(request=request)
-
-    # Handle the response
-    for response in page_result:
-        print(response)
-
-# [END dataplex_v1_generated_CatalogService_ListAspectTypes_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_entries_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_entries_async.py
deleted file mode 100644
index fc611110b8d5..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_entries_async.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListEntries
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_CatalogService_ListEntries_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_list_entries():
-    # Create a client
-    client = dataplex_v1.CatalogServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.ListEntriesRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    page_result = client.list_entries(request=request)
-
-    # Handle the response
-    async for response in page_result:
-        print(response)
-
-# [END dataplex_v1_generated_CatalogService_ListEntries_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_entries_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_entries_sync.py
deleted file mode 100644
index faabd3c1cea0..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_entries_sync.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListEntries
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_CatalogService_ListEntries_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_list_entries():
-    # Create a client
-    client = dataplex_v1.CatalogServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.ListEntriesRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    page_result = client.list_entries(request=request)
-
-    # Handle the response
-    for response in page_result:
-        print(response)
-
-# [END dataplex_v1_generated_CatalogService_ListEntries_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_entry_groups_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_entry_groups_async.py
deleted file mode 100644
index 91a2ad641c95..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_entry_groups_async.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListEntryGroups
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_CatalogService_ListEntryGroups_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_list_entry_groups():
-    # Create a client
-    client = dataplex_v1.CatalogServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.ListEntryGroupsRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    page_result = client.list_entry_groups(request=request)
-
-    # Handle the response
-    async for response in page_result:
-        print(response)
-
-# [END dataplex_v1_generated_CatalogService_ListEntryGroups_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_entry_groups_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_entry_groups_sync.py
deleted file mode 100644
index 61cade3ceec3..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_entry_groups_sync.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListEntryGroups
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_CatalogService_ListEntryGroups_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_list_entry_groups():
-    # Create a client
-    client = dataplex_v1.CatalogServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.ListEntryGroupsRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    page_result = client.list_entry_groups(request=request)
-
-    # Handle the response
-    for response in page_result:
-        print(response)
-
-# [END dataplex_v1_generated_CatalogService_ListEntryGroups_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_entry_types_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_entry_types_async.py
deleted file mode 100644
index a85ebb571be1..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_entry_types_async.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListEntryTypes
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_CatalogService_ListEntryTypes_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_list_entry_types():
-    # Create a client
-    client = dataplex_v1.CatalogServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.ListEntryTypesRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    page_result = client.list_entry_types(request=request)
-
-    # Handle the response
-    async for response in page_result:
-        print(response)
-
-# [END dataplex_v1_generated_CatalogService_ListEntryTypes_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_entry_types_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_entry_types_sync.py
deleted file mode 100644
index f0fff3cc52c9..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_entry_types_sync.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListEntryTypes
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_CatalogService_ListEntryTypes_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_list_entry_types():
-    # Create a client
-    client = dataplex_v1.CatalogServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.ListEntryTypesRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    page_result = client.list_entry_types(request=request)
-
-    # Handle the response
-    for response in page_result:
-        print(response)
-
-# [END dataplex_v1_generated_CatalogService_ListEntryTypes_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_lookup_entry_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_lookup_entry_async.py
deleted file mode 100644
index 4b90f27553bb..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_lookup_entry_async.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for LookupEntry
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_CatalogService_LookupEntry_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_lookup_entry():
-    # Create a client
-    client = dataplex_v1.CatalogServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.LookupEntryRequest(
-        name="name_value",
-        entry="entry_value",
-    )
-
-    # Make the request
-    response = await client.lookup_entry(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_CatalogService_LookupEntry_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_lookup_entry_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_lookup_entry_sync.py
deleted file mode 100644
index 0a1d7dfbd187..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_lookup_entry_sync.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for LookupEntry
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_CatalogService_LookupEntry_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_lookup_entry():
-    # Create a client
-    client = dataplex_v1.CatalogServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.LookupEntryRequest(
-        name="name_value",
-        entry="entry_value",
-    )
-
-    # Make the request
-    response = client.lookup_entry(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_CatalogService_LookupEntry_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_search_entries_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_search_entries_async.py
deleted file mode 100644
index 9115fb45d14b..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_search_entries_async.py
+++ /dev/null
@@ -1,54 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for SearchEntries
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_CatalogService_SearchEntries_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_search_entries():
-    # Create a client
-    client = dataplex_v1.CatalogServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.SearchEntriesRequest(
-        name="name_value",
-        query="query_value",
-    )
-
-    # Make the request
-    page_result = client.search_entries(request=request)
-
-    # Handle the response
-    async for response in page_result:
-        print(response)
-
-# [END dataplex_v1_generated_CatalogService_SearchEntries_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_search_entries_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_search_entries_sync.py
deleted file mode 100644
index adc2a58f4e3d..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_search_entries_sync.py
+++ /dev/null
@@ -1,54 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for SearchEntries
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_CatalogService_SearchEntries_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_search_entries():
-    # Create a client
-    client = dataplex_v1.CatalogServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.SearchEntriesRequest(
-        name="name_value",
-        query="query_value",
-    )
-
-    # Make the request
-    page_result = client.search_entries(request=request)
-
-    # Handle the response
-    for response in page_result:
-        print(response)
-
-# [END dataplex_v1_generated_CatalogService_SearchEntries_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_update_aspect_type_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_update_aspect_type_async.py
deleted file mode 100644
index 4d5cbf23aadc..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_update_aspect_type_async.py
+++ /dev/null
@@ -1,60 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for UpdateAspectType
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_CatalogService_UpdateAspectType_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_update_aspect_type():
-    # Create a client
-    client = dataplex_v1.CatalogServiceAsyncClient()
-
-    # Initialize request argument(s)
-    aspect_type = dataplex_v1.AspectType()
-    aspect_type.metadata_template.name = "name_value"
-    aspect_type.metadata_template.type_ = "type__value"
-
-    request = dataplex_v1.UpdateAspectTypeRequest(
-        aspect_type=aspect_type,
-    )
-
-    # Make the request
-    operation = client.update_aspect_type(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = (await operation).result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_CatalogService_UpdateAspectType_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_update_aspect_type_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_update_aspect_type_sync.py
deleted file mode 100644
index 9408a61c68e2..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_update_aspect_type_sync.py
+++ /dev/null
@@ -1,60 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for UpdateAspectType
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_CatalogService_UpdateAspectType_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_update_aspect_type():
-    # Create a client
-    client = dataplex_v1.CatalogServiceClient()
-
-    # Initialize request argument(s)
-    aspect_type = dataplex_v1.AspectType()
-    aspect_type.metadata_template.name = "name_value"
-    aspect_type.metadata_template.type_ = "type__value"
-
-    request = dataplex_v1.UpdateAspectTypeRequest(
-        aspect_type=aspect_type,
-    )
-
-    # Make the request
-    operation = client.update_aspect_type(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = operation.result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_CatalogService_UpdateAspectType_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_update_entry_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_update_entry_async.py
deleted file mode 100644
index e88986c399d6..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_update_entry_async.py
+++ /dev/null
@@ -1,55 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for UpdateEntry
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_CatalogService_UpdateEntry_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_update_entry():
-    # Create a client
-    client = dataplex_v1.CatalogServiceAsyncClient()
-
-    # Initialize request argument(s)
-    entry = dataplex_v1.Entry()
-    entry.entry_type = "entry_type_value"
-
-    request = dataplex_v1.UpdateEntryRequest(
-        entry=entry,
-    )
-
-    # Make the request
-    response = await client.update_entry(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_CatalogService_UpdateEntry_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_update_entry_group_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_update_entry_group_async.py
deleted file mode 100644
index f8e0716939f9..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_update_entry_group_async.py
+++ /dev/null
@@ -1,55 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for UpdateEntryGroup
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_CatalogService_UpdateEntryGroup_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_update_entry_group():
-    # Create a client
-    client = dataplex_v1.CatalogServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.UpdateEntryGroupRequest(
-    )
-
-    # Make the request
-    operation = client.update_entry_group(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = (await operation).result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_CatalogService_UpdateEntryGroup_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_update_entry_group_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_update_entry_group_sync.py
deleted file mode 100644
index 482e9db7a27f..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_update_entry_group_sync.py
+++ /dev/null
@@ -1,55 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for UpdateEntryGroup
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_CatalogService_UpdateEntryGroup_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_update_entry_group():
-    # Create a client
-    client = dataplex_v1.CatalogServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.UpdateEntryGroupRequest(
-    )
-
-    # Make the request
-    operation = client.update_entry_group(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = operation.result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_CatalogService_UpdateEntryGroup_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_update_entry_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_update_entry_sync.py
deleted file mode 100644
index 69fde35c3515..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_update_entry_sync.py
+++ /dev/null
@@ -1,55 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for UpdateEntry
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_CatalogService_UpdateEntry_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_update_entry():
-    # Create a client
-    client = dataplex_v1.CatalogServiceClient()
-
-    # Initialize request argument(s)
-    entry = dataplex_v1.Entry()
-    entry.entry_type = "entry_type_value"
-
-    request = dataplex_v1.UpdateEntryRequest(
-        entry=entry,
-    )
-
-    # Make the request
-    response = client.update_entry(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_CatalogService_UpdateEntry_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_update_entry_type_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_update_entry_type_async.py
deleted file mode 100644
index 6fc55c02c3ab..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_update_entry_type_async.py
+++ /dev/null
@@ -1,55 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for UpdateEntryType
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_CatalogService_UpdateEntryType_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_update_entry_type():
-    # Create a client
-    client = dataplex_v1.CatalogServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.UpdateEntryTypeRequest(
-    )
-
-    # Make the request
-    operation = client.update_entry_type(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = (await operation).result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_CatalogService_UpdateEntryType_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_update_entry_type_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_update_entry_type_sync.py
deleted file mode 100644
index 2f240368f075..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_update_entry_type_sync.py
+++ /dev/null
@@ -1,55 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for UpdateEntryType
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_CatalogService_UpdateEntryType_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_update_entry_type():
-    # Create a client
-    client = dataplex_v1.CatalogServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.UpdateEntryTypeRequest(
-    )
-
-    # Make the request
-    operation = client.update_entry_type(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = operation.result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_CatalogService_UpdateEntryType_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_create_content_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_create_content_async.py
deleted file mode 100644
index 353f1664db39..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_create_content_async.py
+++ /dev/null
@@ -1,58 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for CreateContent
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_ContentService_CreateContent_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_create_content():
-    # Create a client
-    client = dataplex_v1.ContentServiceAsyncClient()
-
-    # Initialize request argument(s)
-    content = dataplex_v1.Content()
-    content.data_text = "data_text_value"
-    content.sql_script.engine = "SPARK"
-    content.path = "path_value"
-
-    request = dataplex_v1.CreateContentRequest(
-        parent="parent_value",
-        content=content,
-    )
-
-    # Make the request
-    response = await client.create_content(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_ContentService_CreateContent_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_create_content_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_create_content_sync.py
deleted file mode 100644
index 80aa3386d3ae..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_create_content_sync.py
+++ /dev/null
@@ -1,58 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for CreateContent
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_ContentService_CreateContent_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_create_content():
-    # Create a client
-    client = dataplex_v1.ContentServiceClient()
-
-    # Initialize request argument(s)
-    content = dataplex_v1.Content()
-    content.data_text = "data_text_value"
-    content.sql_script.engine = "SPARK"
-    content.path = "path_value"
-
-    request = dataplex_v1.CreateContentRequest(
-        parent="parent_value",
-        content=content,
-    )
-
-    # Make the request
-    response = client.create_content(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_ContentService_CreateContent_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_delete_content_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_delete_content_async.py
deleted file mode 100644
index 195baf10d664..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_delete_content_async.py
+++ /dev/null
@@ -1,50 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for DeleteContent
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_ContentService_DeleteContent_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_delete_content():
-    # Create a client
-    client = dataplex_v1.ContentServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.DeleteContentRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    await client.delete_content(request=request)
-
-
-# [END dataplex_v1_generated_ContentService_DeleteContent_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_delete_content_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_delete_content_sync.py
deleted file mode 100644
index c56872e3a3f1..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_delete_content_sync.py
+++ /dev/null
@@ -1,50 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for DeleteContent
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_ContentService_DeleteContent_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_delete_content():
-    # Create a client
-    client = dataplex_v1.ContentServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.DeleteContentRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    client.delete_content(request=request)
-
-
-# [END dataplex_v1_generated_ContentService_DeleteContent_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_get_content_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_get_content_async.py
deleted file mode 100644
index 3c82c57a70ad..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_get_content_async.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for GetContent
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_ContentService_GetContent_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_get_content():
-    # Create a client
-    client = dataplex_v1.ContentServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.GetContentRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = await client.get_content(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_ContentService_GetContent_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_get_content_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_get_content_sync.py
deleted file mode 100644
index dc25faccfde3..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_get_content_sync.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for GetContent
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_ContentService_GetContent_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_get_content():
-    # Create a client
-    client = dataplex_v1.ContentServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.GetContentRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = client.get_content(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_ContentService_GetContent_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_get_iam_policy_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_get_iam_policy_async.py
deleted file mode 100644
index b9f3c8d527cf..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_get_iam_policy_async.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for GetIamPolicy
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_ContentService_GetIamPolicy_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-from google.iam.v1 import iam_policy_pb2  # type: ignore
-
-
-async def sample_get_iam_policy():
-    # Create a client
-    client = dataplex_v1.ContentServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = iam_policy_pb2.GetIamPolicyRequest(
-        resource="resource_value",
-    )
-
-    # Make the request
-    response = await client.get_iam_policy(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_ContentService_GetIamPolicy_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_get_iam_policy_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_get_iam_policy_sync.py
deleted file mode 100644
index 1b6ca2879922..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_get_iam_policy_sync.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for GetIamPolicy
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_ContentService_GetIamPolicy_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-from google.iam.v1 import iam_policy_pb2  # type: ignore
-
-
-def sample_get_iam_policy():
-    # Create a client
-    client = dataplex_v1.ContentServiceClient()
-
-    # Initialize request argument(s)
-    request = iam_policy_pb2.GetIamPolicyRequest(
-        resource="resource_value",
-    )
-
-    # Make the request
-    response = client.get_iam_policy(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_ContentService_GetIamPolicy_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_list_content_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_list_content_async.py
deleted file mode 100644
index 1d591e9fc2c6..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_list_content_async.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListContent
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_ContentService_ListContent_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_list_content():
-    # Create a client
-    client = dataplex_v1.ContentServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.ListContentRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    page_result = client.list_content(request=request)
-
-    # Handle the response
-    async for response in page_result:
-        print(response)
-
-# [END dataplex_v1_generated_ContentService_ListContent_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_list_content_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_list_content_sync.py
deleted file mode 100644
index ad07990ff1ce..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_list_content_sync.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListContent
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_ContentService_ListContent_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_list_content():
-    # Create a client
-    client = dataplex_v1.ContentServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.ListContentRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    page_result = client.list_content(request=request)
-
-    # Handle the response
-    for response in page_result:
-        print(response)
-
-# [END dataplex_v1_generated_ContentService_ListContent_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_set_iam_policy_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_set_iam_policy_async.py
deleted file mode 100644
index c85e40228b20..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_set_iam_policy_async.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for SetIamPolicy
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_ContentService_SetIamPolicy_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-from google.iam.v1 import iam_policy_pb2  # type: ignore
-
-
-async def sample_set_iam_policy():
-    # Create a client
-    client = dataplex_v1.ContentServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = iam_policy_pb2.SetIamPolicyRequest(
-        resource="resource_value",
-    )
-
-    # Make the request
-    response = await client.set_iam_policy(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_ContentService_SetIamPolicy_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_set_iam_policy_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_set_iam_policy_sync.py
deleted file mode 100644
index be43e3cb4138..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_set_iam_policy_sync.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for SetIamPolicy
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_ContentService_SetIamPolicy_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-from google.iam.v1 import iam_policy_pb2  # type: ignore
-
-
-def sample_set_iam_policy():
-    # Create a client
-    client = dataplex_v1.ContentServiceClient()
-
-    # Initialize request argument(s)
-    request = iam_policy_pb2.SetIamPolicyRequest(
-        resource="resource_value",
-    )
-
-    # Make the request
-    response = client.set_iam_policy(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_ContentService_SetIamPolicy_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_test_iam_permissions_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_test_iam_permissions_async.py
deleted file mode 100644
index f7791f437bd3..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_test_iam_permissions_async.py
+++ /dev/null
@@ -1,54 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for TestIamPermissions
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_ContentService_TestIamPermissions_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-from google.iam.v1 import iam_policy_pb2  # type: ignore
-
-
-async def sample_test_iam_permissions():
-    # Create a client
-    client = dataplex_v1.ContentServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = iam_policy_pb2.TestIamPermissionsRequest(
-        resource="resource_value",
-        permissions=['permissions_value1', 'permissions_value2'],
-    )
-
-    # Make the request
-    response = await client.test_iam_permissions(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_ContentService_TestIamPermissions_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_test_iam_permissions_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_test_iam_permissions_sync.py
deleted file mode 100644
index 6133c0d7cf57..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_test_iam_permissions_sync.py
+++ /dev/null
@@ -1,54 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for TestIamPermissions
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_ContentService_TestIamPermissions_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-from google.iam.v1 import iam_policy_pb2  # type: ignore
-
-
-def sample_test_iam_permissions():
-    # Create a client
-    client = dataplex_v1.ContentServiceClient()
-
-    # Initialize request argument(s)
-    request = iam_policy_pb2.TestIamPermissionsRequest(
-        resource="resource_value",
-        permissions=['permissions_value1', 'permissions_value2'],
-    )
-
-    # Make the request
-    response = client.test_iam_permissions(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_ContentService_TestIamPermissions_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_update_content_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_update_content_async.py
deleted file mode 100644
index bef234c8b411..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_update_content_async.py
+++ /dev/null
@@ -1,57 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for UpdateContent
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_ContentService_UpdateContent_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_update_content():
-    # Create a client
-    client = dataplex_v1.ContentServiceAsyncClient()
-
-    # Initialize request argument(s)
-    content = dataplex_v1.Content()
-    content.data_text = "data_text_value"
-    content.sql_script.engine = "SPARK"
-    content.path = "path_value"
-
-    request = dataplex_v1.UpdateContentRequest(
-        content=content,
-    )
-
-    # Make the request
-    response = await client.update_content(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_ContentService_UpdateContent_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_update_content_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_update_content_sync.py
deleted file mode 100644
index 5883d944b68c..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_content_service_update_content_sync.py
+++ /dev/null
@@ -1,57 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for UpdateContent
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_ContentService_UpdateContent_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_update_content():
-    # Create a client
-    client = dataplex_v1.ContentServiceClient()
-
-    # Initialize request argument(s)
-    content = dataplex_v1.Content()
-    content.data_text = "data_text_value"
-    content.sql_script.engine = "SPARK"
-    content.path = "path_value"
-
-    request = dataplex_v1.UpdateContentRequest(
-        content=content,
-    )
-
-    # Make the request
-    response = client.update_content(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_ContentService_UpdateContent_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_create_data_scan_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_create_data_scan_async.py
deleted file mode 100644
index 21651df34ae5..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_create_data_scan_async.py
+++ /dev/null
@@ -1,62 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for CreateDataScan
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataScanService_CreateDataScan_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_create_data_scan():
-    # Create a client
-    client = dataplex_v1.DataScanServiceAsyncClient()
-
-    # Initialize request argument(s)
-    data_scan = dataplex_v1.DataScan()
-    data_scan.data_quality_spec.rules.dimension = "dimension_value"
-    data_scan.data.entity = "entity_value"
-
-    request = dataplex_v1.CreateDataScanRequest(
-        parent="parent_value",
-        data_scan=data_scan,
-        data_scan_id="data_scan_id_value",
-    )
-
-    # Make the request
-    operation = client.create_data_scan(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = (await operation).result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataScanService_CreateDataScan_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_create_data_scan_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_create_data_scan_sync.py
deleted file mode 100644
index 77776f6960df..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_create_data_scan_sync.py
+++ /dev/null
@@ -1,62 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for CreateDataScan
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataScanService_CreateDataScan_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_create_data_scan():
-    # Create a client
-    client = dataplex_v1.DataScanServiceClient()
-
-    # Initialize request argument(s)
-    data_scan = dataplex_v1.DataScan()
-    data_scan.data_quality_spec.rules.dimension = "dimension_value"
-    data_scan.data.entity = "entity_value"
-
-    request = dataplex_v1.CreateDataScanRequest(
-        parent="parent_value",
-        data_scan=data_scan,
-        data_scan_id="data_scan_id_value",
-    )
-
-    # Make the request
-    operation = client.create_data_scan(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = operation.result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataScanService_CreateDataScan_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_delete_data_scan_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_delete_data_scan_async.py
deleted file mode 100644
index 06728d347dcc..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_delete_data_scan_async.py
+++ /dev/null
@@ -1,56 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for DeleteDataScan
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataScanService_DeleteDataScan_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_delete_data_scan():
-    # Create a client
-    client = dataplex_v1.DataScanServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.DeleteDataScanRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    operation = client.delete_data_scan(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = (await operation).result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataScanService_DeleteDataScan_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_delete_data_scan_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_delete_data_scan_sync.py
deleted file mode 100644
index d3b6b57e56cc..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_delete_data_scan_sync.py
+++ /dev/null
@@ -1,56 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for DeleteDataScan
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataScanService_DeleteDataScan_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_delete_data_scan():
-    # Create a client
-    client = dataplex_v1.DataScanServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.DeleteDataScanRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    operation = client.delete_data_scan(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = operation.result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataScanService_DeleteDataScan_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_generate_data_quality_rules_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_generate_data_quality_rules_async.py
deleted file mode 100644
index cb75e6e697af..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_generate_data_quality_rules_async.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for GenerateDataQualityRules
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataScanService_GenerateDataQualityRules_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_generate_data_quality_rules():
-    # Create a client
-    client = dataplex_v1.DataScanServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.GenerateDataQualityRulesRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = await client.generate_data_quality_rules(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataScanService_GenerateDataQualityRules_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_generate_data_quality_rules_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_generate_data_quality_rules_sync.py
deleted file mode 100644
index ad0deadc75f9..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_generate_data_quality_rules_sync.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for GenerateDataQualityRules
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataScanService_GenerateDataQualityRules_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_generate_data_quality_rules():
-    # Create a client
-    client = dataplex_v1.DataScanServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.GenerateDataQualityRulesRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = client.generate_data_quality_rules(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataScanService_GenerateDataQualityRules_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_get_data_scan_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_get_data_scan_async.py
deleted file mode 100644
index 676de83d3706..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_get_data_scan_async.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for GetDataScan
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataScanService_GetDataScan_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_get_data_scan():
-    # Create a client
-    client = dataplex_v1.DataScanServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.GetDataScanRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = await client.get_data_scan(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataScanService_GetDataScan_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_get_data_scan_job_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_get_data_scan_job_async.py
deleted file mode 100644
index e835b0ca591a..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_get_data_scan_job_async.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for GetDataScanJob
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataScanService_GetDataScanJob_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_get_data_scan_job():
-    # Create a client
-    client = dataplex_v1.DataScanServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.GetDataScanJobRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = await client.get_data_scan_job(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataScanService_GetDataScanJob_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_get_data_scan_job_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_get_data_scan_job_sync.py
deleted file mode 100644
index bddec8d6189d..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_get_data_scan_job_sync.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for GetDataScanJob
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataScanService_GetDataScanJob_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_get_data_scan_job():
-    # Create a client
-    client = dataplex_v1.DataScanServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.GetDataScanJobRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = client.get_data_scan_job(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataScanService_GetDataScanJob_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_get_data_scan_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_get_data_scan_sync.py
deleted file mode 100644
index fe36809dbf5b..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_get_data_scan_sync.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for GetDataScan
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataScanService_GetDataScan_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_get_data_scan():
-    # Create a client
-    client = dataplex_v1.DataScanServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.GetDataScanRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = client.get_data_scan(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataScanService_GetDataScan_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_list_data_scan_jobs_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_list_data_scan_jobs_async.py
deleted file mode 100644
index 9232f30a6311..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_list_data_scan_jobs_async.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListDataScanJobs
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataScanService_ListDataScanJobs_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_list_data_scan_jobs():
-    # Create a client
-    client = dataplex_v1.DataScanServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.ListDataScanJobsRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    page_result = client.list_data_scan_jobs(request=request)
-
-    # Handle the response
-    async for response in page_result:
-        print(response)
-
-# [END dataplex_v1_generated_DataScanService_ListDataScanJobs_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_list_data_scan_jobs_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_list_data_scan_jobs_sync.py
deleted file mode 100644
index e7cb0443ec86..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_list_data_scan_jobs_sync.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListDataScanJobs
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataScanService_ListDataScanJobs_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_list_data_scan_jobs():
-    # Create a client
-    client = dataplex_v1.DataScanServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.ListDataScanJobsRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    page_result = client.list_data_scan_jobs(request=request)
-
-    # Handle the response
-    for response in page_result:
-        print(response)
-
-# [END dataplex_v1_generated_DataScanService_ListDataScanJobs_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_list_data_scans_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_list_data_scans_async.py
deleted file mode 100644
index 51b2f86cfdd9..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_list_data_scans_async.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListDataScans
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataScanService_ListDataScans_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_list_data_scans():
-    # Create a client
-    client = dataplex_v1.DataScanServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.ListDataScansRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    page_result = client.list_data_scans(request=request)
-
-    # Handle the response
-    async for response in page_result:
-        print(response)
-
-# [END dataplex_v1_generated_DataScanService_ListDataScans_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_list_data_scans_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_list_data_scans_sync.py
deleted file mode 100644
index 7325c27fda56..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_list_data_scans_sync.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListDataScans
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataScanService_ListDataScans_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_list_data_scans():
-    # Create a client
-    client = dataplex_v1.DataScanServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.ListDataScansRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    page_result = client.list_data_scans(request=request)
-
-    # Handle the response
-    for response in page_result:
-        print(response)
-
-# [END dataplex_v1_generated_DataScanService_ListDataScans_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_run_data_scan_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_run_data_scan_async.py
deleted file mode 100644
index 98a6b2322fcf..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_run_data_scan_async.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for RunDataScan
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataScanService_RunDataScan_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_run_data_scan():
-    # Create a client
-    client = dataplex_v1.DataScanServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.RunDataScanRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = await client.run_data_scan(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataScanService_RunDataScan_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_run_data_scan_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_run_data_scan_sync.py
deleted file mode 100644
index e895451b7053..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_run_data_scan_sync.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for RunDataScan
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataScanService_RunDataScan_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_run_data_scan():
-    # Create a client
-    client = dataplex_v1.DataScanServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.RunDataScanRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = client.run_data_scan(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataScanService_RunDataScan_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_update_data_scan_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_update_data_scan_async.py
deleted file mode 100644
index 124a401a492f..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_update_data_scan_async.py
+++ /dev/null
@@ -1,60 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for UpdateDataScan
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataScanService_UpdateDataScan_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_update_data_scan():
-    # Create a client
-    client = dataplex_v1.DataScanServiceAsyncClient()
-
-    # Initialize request argument(s)
-    data_scan = dataplex_v1.DataScan()
-    data_scan.data_quality_spec.rules.dimension = "dimension_value"
-    data_scan.data.entity = "entity_value"
-
-    request = dataplex_v1.UpdateDataScanRequest(
-        data_scan=data_scan,
-    )
-
-    # Make the request
-    operation = client.update_data_scan(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = (await operation).result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataScanService_UpdateDataScan_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_update_data_scan_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_update_data_scan_sync.py
deleted file mode 100644
index 558f26403249..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_scan_service_update_data_scan_sync.py
+++ /dev/null
@@ -1,60 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for UpdateDataScan
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataScanService_UpdateDataScan_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_update_data_scan():
-    # Create a client
-    client = dataplex_v1.DataScanServiceClient()
-
-    # Initialize request argument(s)
-    data_scan = dataplex_v1.DataScan()
-    data_scan.data_quality_spec.rules.dimension = "dimension_value"
-    data_scan.data.entity = "entity_value"
-
-    request = dataplex_v1.UpdateDataScanRequest(
-        data_scan=data_scan,
-    )
-
-    # Make the request
-    operation = client.update_data_scan(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = operation.result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataScanService_UpdateDataScan_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_create_data_attribute_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_create_data_attribute_async.py
deleted file mode 100644
index a005a033674c..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_create_data_attribute_async.py
+++ /dev/null
@@ -1,57 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for CreateDataAttribute
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataTaxonomyService_CreateDataAttribute_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_create_data_attribute():
-    # Create a client
-    client = dataplex_v1.DataTaxonomyServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.CreateDataAttributeRequest(
-        parent="parent_value",
-        data_attribute_id="data_attribute_id_value",
-    )
-
-    # Make the request
-    operation = client.create_data_attribute(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = (await operation).result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataTaxonomyService_CreateDataAttribute_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_create_data_attribute_binding_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_create_data_attribute_binding_async.py
deleted file mode 100644
index d182498546d6..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_create_data_attribute_binding_async.py
+++ /dev/null
@@ -1,61 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for CreateDataAttributeBinding
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataTaxonomyService_CreateDataAttributeBinding_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_create_data_attribute_binding():
-    # Create a client
-    client = dataplex_v1.DataTaxonomyServiceAsyncClient()
-
-    # Initialize request argument(s)
-    data_attribute_binding = dataplex_v1.DataAttributeBinding()
-    data_attribute_binding.resource = "resource_value"
-
-    request = dataplex_v1.CreateDataAttributeBindingRequest(
-        parent="parent_value",
-        data_attribute_binding_id="data_attribute_binding_id_value",
-        data_attribute_binding=data_attribute_binding,
-    )
-
-    # Make the request
-    operation = client.create_data_attribute_binding(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = (await operation).result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataTaxonomyService_CreateDataAttributeBinding_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_create_data_attribute_binding_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_create_data_attribute_binding_sync.py
deleted file mode 100644
index cab78ee20922..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_create_data_attribute_binding_sync.py
+++ /dev/null
@@ -1,61 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for CreateDataAttributeBinding
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataTaxonomyService_CreateDataAttributeBinding_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_create_data_attribute_binding():
-    # Create a client
-    client = dataplex_v1.DataTaxonomyServiceClient()
-
-    # Initialize request argument(s)
-    data_attribute_binding = dataplex_v1.DataAttributeBinding()
-    data_attribute_binding.resource = "resource_value"
-
-    request = dataplex_v1.CreateDataAttributeBindingRequest(
-        parent="parent_value",
-        data_attribute_binding_id="data_attribute_binding_id_value",
-        data_attribute_binding=data_attribute_binding,
-    )
-
-    # Make the request
-    operation = client.create_data_attribute_binding(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = operation.result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataTaxonomyService_CreateDataAttributeBinding_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_create_data_attribute_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_create_data_attribute_sync.py
deleted file mode 100644
index d560872c9a07..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_create_data_attribute_sync.py
+++ /dev/null
@@ -1,57 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for CreateDataAttribute
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataTaxonomyService_CreateDataAttribute_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_create_data_attribute():
-    # Create a client
-    client = dataplex_v1.DataTaxonomyServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.CreateDataAttributeRequest(
-        parent="parent_value",
-        data_attribute_id="data_attribute_id_value",
-    )
-
-    # Make the request
-    operation = client.create_data_attribute(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = operation.result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataTaxonomyService_CreateDataAttribute_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_create_data_taxonomy_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_create_data_taxonomy_async.py
deleted file mode 100644
index 1217b679c08e..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_create_data_taxonomy_async.py
+++ /dev/null
@@ -1,57 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for CreateDataTaxonomy
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataTaxonomyService_CreateDataTaxonomy_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_create_data_taxonomy():
-    # Create a client
-    client = dataplex_v1.DataTaxonomyServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.CreateDataTaxonomyRequest(
-        parent="parent_value",
-        data_taxonomy_id="data_taxonomy_id_value",
-    )
-
-    # Make the request
-    operation = client.create_data_taxonomy(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = (await operation).result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataTaxonomyService_CreateDataTaxonomy_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_create_data_taxonomy_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_create_data_taxonomy_sync.py
deleted file mode 100644
index a6978897a170..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_create_data_taxonomy_sync.py
+++ /dev/null
@@ -1,57 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for CreateDataTaxonomy
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataTaxonomyService_CreateDataTaxonomy_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_create_data_taxonomy():
-    # Create a client
-    client = dataplex_v1.DataTaxonomyServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.CreateDataTaxonomyRequest(
-        parent="parent_value",
-        data_taxonomy_id="data_taxonomy_id_value",
-    )
-
-    # Make the request
-    operation = client.create_data_taxonomy(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = operation.result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataTaxonomyService_CreateDataTaxonomy_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_delete_data_attribute_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_delete_data_attribute_async.py
deleted file mode 100644
index 22ddcc5604ff..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_delete_data_attribute_async.py
+++ /dev/null
@@ -1,56 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for DeleteDataAttribute
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataTaxonomyService_DeleteDataAttribute_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_delete_data_attribute():
-    # Create a client
-    client = dataplex_v1.DataTaxonomyServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.DeleteDataAttributeRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    operation = client.delete_data_attribute(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = (await operation).result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataTaxonomyService_DeleteDataAttribute_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_delete_data_attribute_binding_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_delete_data_attribute_binding_async.py
deleted file mode 100644
index 4576cb8067f2..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_delete_data_attribute_binding_async.py
+++ /dev/null
@@ -1,57 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for DeleteDataAttributeBinding
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataTaxonomyService_DeleteDataAttributeBinding_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_delete_data_attribute_binding():
-    # Create a client
-    client = dataplex_v1.DataTaxonomyServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.DeleteDataAttributeBindingRequest(
-        name="name_value",
-        etag="etag_value",
-    )
-
-    # Make the request
-    operation = client.delete_data_attribute_binding(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = (await operation).result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataTaxonomyService_DeleteDataAttributeBinding_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_delete_data_attribute_binding_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_delete_data_attribute_binding_sync.py
deleted file mode 100644
index 84d600eb7954..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_delete_data_attribute_binding_sync.py
+++ /dev/null
@@ -1,57 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for DeleteDataAttributeBinding
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataTaxonomyService_DeleteDataAttributeBinding_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_delete_data_attribute_binding():
-    # Create a client
-    client = dataplex_v1.DataTaxonomyServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.DeleteDataAttributeBindingRequest(
-        name="name_value",
-        etag="etag_value",
-    )
-
-    # Make the request
-    operation = client.delete_data_attribute_binding(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = operation.result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataTaxonomyService_DeleteDataAttributeBinding_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_delete_data_attribute_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_delete_data_attribute_sync.py
deleted file mode 100644
index 80ed777ff441..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_delete_data_attribute_sync.py
+++ /dev/null
@@ -1,56 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for DeleteDataAttribute
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataTaxonomyService_DeleteDataAttribute_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_delete_data_attribute():
-    # Create a client
-    client = dataplex_v1.DataTaxonomyServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.DeleteDataAttributeRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    operation = client.delete_data_attribute(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = operation.result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataTaxonomyService_DeleteDataAttribute_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_delete_data_taxonomy_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_delete_data_taxonomy_async.py
deleted file mode 100644
index 4c5ef9e4b313..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_delete_data_taxonomy_async.py
+++ /dev/null
@@ -1,56 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for DeleteDataTaxonomy
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataTaxonomyService_DeleteDataTaxonomy_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_delete_data_taxonomy():
-    # Create a client
-    client = dataplex_v1.DataTaxonomyServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.DeleteDataTaxonomyRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    operation = client.delete_data_taxonomy(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = (await operation).result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataTaxonomyService_DeleteDataTaxonomy_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_delete_data_taxonomy_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_delete_data_taxonomy_sync.py
deleted file mode 100644
index 08883b505729..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_delete_data_taxonomy_sync.py
+++ /dev/null
@@ -1,56 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for DeleteDataTaxonomy
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataTaxonomyService_DeleteDataTaxonomy_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_delete_data_taxonomy():
-    # Create a client
-    client = dataplex_v1.DataTaxonomyServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.DeleteDataTaxonomyRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    operation = client.delete_data_taxonomy(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = operation.result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataTaxonomyService_DeleteDataTaxonomy_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_get_data_attribute_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_get_data_attribute_async.py
deleted file mode 100644
index 350639322e18..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_get_data_attribute_async.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for GetDataAttribute
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataTaxonomyService_GetDataAttribute_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_get_data_attribute():
-    # Create a client
-    client = dataplex_v1.DataTaxonomyServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.GetDataAttributeRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = await client.get_data_attribute(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataTaxonomyService_GetDataAttribute_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_get_data_attribute_binding_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_get_data_attribute_binding_async.py
deleted file mode 100644
index 94a95946fcd5..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_get_data_attribute_binding_async.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for GetDataAttributeBinding
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataTaxonomyService_GetDataAttributeBinding_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_get_data_attribute_binding():
-    # Create a client
-    client = dataplex_v1.DataTaxonomyServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.GetDataAttributeBindingRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = await client.get_data_attribute_binding(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataTaxonomyService_GetDataAttributeBinding_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_get_data_attribute_binding_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_get_data_attribute_binding_sync.py
deleted file mode 100644
index 94f2288be733..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_get_data_attribute_binding_sync.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for GetDataAttributeBinding
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataTaxonomyService_GetDataAttributeBinding_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_get_data_attribute_binding():
-    # Create a client
-    client = dataplex_v1.DataTaxonomyServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.GetDataAttributeBindingRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = client.get_data_attribute_binding(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataTaxonomyService_GetDataAttributeBinding_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_get_data_attribute_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_get_data_attribute_sync.py
deleted file mode 100644
index 2a1adb57e6df..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_get_data_attribute_sync.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for GetDataAttribute
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataTaxonomyService_GetDataAttribute_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_get_data_attribute():
-    # Create a client
-    client = dataplex_v1.DataTaxonomyServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.GetDataAttributeRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = client.get_data_attribute(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataTaxonomyService_GetDataAttribute_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_get_data_taxonomy_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_get_data_taxonomy_async.py
deleted file mode 100644
index f66f77ea22a3..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_get_data_taxonomy_async.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for GetDataTaxonomy
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataTaxonomyService_GetDataTaxonomy_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_get_data_taxonomy():
-    # Create a client
-    client = dataplex_v1.DataTaxonomyServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.GetDataTaxonomyRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = await client.get_data_taxonomy(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataTaxonomyService_GetDataTaxonomy_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_get_data_taxonomy_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_get_data_taxonomy_sync.py
deleted file mode 100644
index 15f085db3c20..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_get_data_taxonomy_sync.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for GetDataTaxonomy
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataTaxonomyService_GetDataTaxonomy_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_get_data_taxonomy():
-    # Create a client
-    client = dataplex_v1.DataTaxonomyServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.GetDataTaxonomyRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = client.get_data_taxonomy(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataTaxonomyService_GetDataTaxonomy_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_list_data_attribute_bindings_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_list_data_attribute_bindings_async.py
deleted file mode 100644
index 207e67a7215a..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_list_data_attribute_bindings_async.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListDataAttributeBindings
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataTaxonomyService_ListDataAttributeBindings_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_list_data_attribute_bindings():
-    # Create a client
-    client = dataplex_v1.DataTaxonomyServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.ListDataAttributeBindingsRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    page_result = client.list_data_attribute_bindings(request=request)
-
-    # Handle the response
-    async for response in page_result:
-        print(response)
-
-# [END dataplex_v1_generated_DataTaxonomyService_ListDataAttributeBindings_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_list_data_attribute_bindings_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_list_data_attribute_bindings_sync.py
deleted file mode 100644
index 9139b66840ed..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_list_data_attribute_bindings_sync.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListDataAttributeBindings
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataTaxonomyService_ListDataAttributeBindings_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_list_data_attribute_bindings():
-    # Create a client
-    client = dataplex_v1.DataTaxonomyServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.ListDataAttributeBindingsRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    page_result = client.list_data_attribute_bindings(request=request)
-
-    # Handle the response
-    for response in page_result:
-        print(response)
-
-# [END dataplex_v1_generated_DataTaxonomyService_ListDataAttributeBindings_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_list_data_attributes_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_list_data_attributes_async.py
deleted file mode 100644
index 6e9569b3ea57..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_list_data_attributes_async.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListDataAttributes
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataTaxonomyService_ListDataAttributes_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_list_data_attributes():
-    # Create a client
-    client = dataplex_v1.DataTaxonomyServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.ListDataAttributesRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    page_result = client.list_data_attributes(request=request)
-
-    # Handle the response
-    async for response in page_result:
-        print(response)
-
-# [END dataplex_v1_generated_DataTaxonomyService_ListDataAttributes_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_list_data_attributes_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_list_data_attributes_sync.py
deleted file mode 100644
index 16454380d76d..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_list_data_attributes_sync.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListDataAttributes
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataTaxonomyService_ListDataAttributes_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_list_data_attributes():
-    # Create a client
-    client = dataplex_v1.DataTaxonomyServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.ListDataAttributesRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    page_result = client.list_data_attributes(request=request)
-
-    # Handle the response
-    for response in page_result:
-        print(response)
-
-# [END dataplex_v1_generated_DataTaxonomyService_ListDataAttributes_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_list_data_taxonomies_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_list_data_taxonomies_async.py
deleted file mode 100644
index 6a1b36361816..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_list_data_taxonomies_async.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListDataTaxonomies
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataTaxonomyService_ListDataTaxonomies_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_list_data_taxonomies():
-    # Create a client
-    client = dataplex_v1.DataTaxonomyServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.ListDataTaxonomiesRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    page_result = client.list_data_taxonomies(request=request)
-
-    # Handle the response
-    async for response in page_result:
-        print(response)
-
-# [END dataplex_v1_generated_DataTaxonomyService_ListDataTaxonomies_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_list_data_taxonomies_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_list_data_taxonomies_sync.py
deleted file mode 100644
index cba0a7942e3b..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_list_data_taxonomies_sync.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListDataTaxonomies
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataTaxonomyService_ListDataTaxonomies_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_list_data_taxonomies():
-    # Create a client
-    client = dataplex_v1.DataTaxonomyServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.ListDataTaxonomiesRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    page_result = client.list_data_taxonomies(request=request)
-
-    # Handle the response
-    for response in page_result:
-        print(response)
-
-# [END dataplex_v1_generated_DataTaxonomyService_ListDataTaxonomies_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_update_data_attribute_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_update_data_attribute_async.py
deleted file mode 100644
index ceb29efa2ffa..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_update_data_attribute_async.py
+++ /dev/null
@@ -1,55 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for UpdateDataAttribute
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataTaxonomyService_UpdateDataAttribute_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_update_data_attribute():
-    # Create a client
-    client = dataplex_v1.DataTaxonomyServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.UpdateDataAttributeRequest(
-    )
-
-    # Make the request
-    operation = client.update_data_attribute(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = (await operation).result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataTaxonomyService_UpdateDataAttribute_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_update_data_attribute_binding_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_update_data_attribute_binding_async.py
deleted file mode 100644
index a0a822815f7f..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_update_data_attribute_binding_async.py
+++ /dev/null
@@ -1,59 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for UpdateDataAttributeBinding
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataTaxonomyService_UpdateDataAttributeBinding_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_update_data_attribute_binding():
-    # Create a client
-    client = dataplex_v1.DataTaxonomyServiceAsyncClient()
-
-    # Initialize request argument(s)
-    data_attribute_binding = dataplex_v1.DataAttributeBinding()
-    data_attribute_binding.resource = "resource_value"
-
-    request = dataplex_v1.UpdateDataAttributeBindingRequest(
-        data_attribute_binding=data_attribute_binding,
-    )
-
-    # Make the request
-    operation = client.update_data_attribute_binding(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = (await operation).result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataTaxonomyService_UpdateDataAttributeBinding_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_update_data_attribute_binding_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_update_data_attribute_binding_sync.py
deleted file mode 100644
index 39fbd39776d8..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_update_data_attribute_binding_sync.py
+++ /dev/null
@@ -1,59 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for UpdateDataAttributeBinding
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataTaxonomyService_UpdateDataAttributeBinding_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_update_data_attribute_binding():
-    # Create a client
-    client = dataplex_v1.DataTaxonomyServiceClient()
-
-    # Initialize request argument(s)
-    data_attribute_binding = dataplex_v1.DataAttributeBinding()
-    data_attribute_binding.resource = "resource_value"
-
-    request = dataplex_v1.UpdateDataAttributeBindingRequest(
-        data_attribute_binding=data_attribute_binding,
-    )
-
-    # Make the request
-    operation = client.update_data_attribute_binding(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = operation.result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataTaxonomyService_UpdateDataAttributeBinding_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_update_data_attribute_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_update_data_attribute_sync.py
deleted file mode 100644
index 0174b1fe11cd..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_update_data_attribute_sync.py
+++ /dev/null
@@ -1,55 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for UpdateDataAttribute
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataTaxonomyService_UpdateDataAttribute_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_update_data_attribute():
-    # Create a client
-    client = dataplex_v1.DataTaxonomyServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.UpdateDataAttributeRequest(
-    )
-
-    # Make the request
-    operation = client.update_data_attribute(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = operation.result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataTaxonomyService_UpdateDataAttribute_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_update_data_taxonomy_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_update_data_taxonomy_async.py
deleted file mode 100644
index cf45b97b2582..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_update_data_taxonomy_async.py
+++ /dev/null
@@ -1,55 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for UpdateDataTaxonomy
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataTaxonomyService_UpdateDataTaxonomy_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_update_data_taxonomy():
-    # Create a client
-    client = dataplex_v1.DataTaxonomyServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.UpdateDataTaxonomyRequest(
-    )
-
-    # Make the request
-    operation = client.update_data_taxonomy(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = (await operation).result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataTaxonomyService_UpdateDataTaxonomy_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_update_data_taxonomy_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_update_data_taxonomy_sync.py
deleted file mode 100644
index c1ff22cfad5b..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_data_taxonomy_service_update_data_taxonomy_sync.py
+++ /dev/null
@@ -1,55 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for UpdateDataTaxonomy
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataTaxonomyService_UpdateDataTaxonomy_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_update_data_taxonomy():
-    # Create a client
-    client = dataplex_v1.DataTaxonomyServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.UpdateDataTaxonomyRequest(
-    )
-
-    # Make the request
-    operation = client.update_data_taxonomy(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = operation.result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataTaxonomyService_UpdateDataTaxonomy_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_cancel_job_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_cancel_job_async.py
deleted file mode 100644
index 3c62de319a83..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_cancel_job_async.py
+++ /dev/null
@@ -1,50 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for CancelJob
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_CancelJob_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_cancel_job():
-    # Create a client
-    client = dataplex_v1.DataplexServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.CancelJobRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    await client.cancel_job(request=request)
-
-
-# [END dataplex_v1_generated_DataplexService_CancelJob_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_cancel_job_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_cancel_job_sync.py
deleted file mode 100644
index 0f03e83feca8..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_cancel_job_sync.py
+++ /dev/null
@@ -1,50 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for CancelJob
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_CancelJob_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_cancel_job():
-    # Create a client
-    client = dataplex_v1.DataplexServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.CancelJobRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    client.cancel_job(request=request)
-
-
-# [END dataplex_v1_generated_DataplexService_CancelJob_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_asset_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_asset_async.py
deleted file mode 100644
index 22703812444a..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_asset_async.py
+++ /dev/null
@@ -1,61 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for CreateAsset
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_CreateAsset_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_create_asset():
-    # Create a client
-    client = dataplex_v1.DataplexServiceAsyncClient()
-
-    # Initialize request argument(s)
-    asset = dataplex_v1.Asset()
-    asset.resource_spec.type_ = "BIGQUERY_DATASET"
-
-    request = dataplex_v1.CreateAssetRequest(
-        parent="parent_value",
-        asset_id="asset_id_value",
-        asset=asset,
-    )
-
-    # Make the request
-    operation = client.create_asset(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = (await operation).result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataplexService_CreateAsset_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_asset_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_asset_sync.py
deleted file mode 100644
index d11ffbfbfb6a..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_asset_sync.py
+++ /dev/null
@@ -1,61 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for CreateAsset
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_CreateAsset_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_create_asset():
-    # Create a client
-    client = dataplex_v1.DataplexServiceClient()
-
-    # Initialize request argument(s)
-    asset = dataplex_v1.Asset()
-    asset.resource_spec.type_ = "BIGQUERY_DATASET"
-
-    request = dataplex_v1.CreateAssetRequest(
-        parent="parent_value",
-        asset_id="asset_id_value",
-        asset=asset,
-    )
-
-    # Make the request
-    operation = client.create_asset(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = operation.result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataplexService_CreateAsset_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_environment_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_environment_async.py
deleted file mode 100644
index 04e8b56fc7f5..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_environment_async.py
+++ /dev/null
@@ -1,61 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for CreateEnvironment
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_CreateEnvironment_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_create_environment():
-    # Create a client
-    client = dataplex_v1.DataplexServiceAsyncClient()
-
-    # Initialize request argument(s)
-    environment = dataplex_v1.Environment()
-    environment.infrastructure_spec.os_image.image_version = "image_version_value"
-
-    request = dataplex_v1.CreateEnvironmentRequest(
-        parent="parent_value",
-        environment_id="environment_id_value",
-        environment=environment,
-    )
-
-    # Make the request
-    operation = client.create_environment(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = (await operation).result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataplexService_CreateEnvironment_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_environment_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_environment_sync.py
deleted file mode 100644
index 572c041e342b..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_environment_sync.py
+++ /dev/null
@@ -1,61 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for CreateEnvironment
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_CreateEnvironment_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_create_environment():
-    # Create a client
-    client = dataplex_v1.DataplexServiceClient()
-
-    # Initialize request argument(s)
-    environment = dataplex_v1.Environment()
-    environment.infrastructure_spec.os_image.image_version = "image_version_value"
-
-    request = dataplex_v1.CreateEnvironmentRequest(
-        parent="parent_value",
-        environment_id="environment_id_value",
-        environment=environment,
-    )
-
-    # Make the request
-    operation = client.create_environment(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = operation.result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataplexService_CreateEnvironment_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_lake_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_lake_async.py
deleted file mode 100644
index 510fe8247499..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_lake_async.py
+++ /dev/null
@@ -1,57 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for CreateLake
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_CreateLake_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_create_lake():
-    # Create a client
-    client = dataplex_v1.DataplexServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.CreateLakeRequest(
-        parent="parent_value",
-        lake_id="lake_id_value",
-    )
-
-    # Make the request
-    operation = client.create_lake(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = (await operation).result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataplexService_CreateLake_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_lake_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_lake_sync.py
deleted file mode 100644
index f18dc0a47c48..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_lake_sync.py
+++ /dev/null
@@ -1,57 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for CreateLake
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_CreateLake_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_create_lake():
-    # Create a client
-    client = dataplex_v1.DataplexServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.CreateLakeRequest(
-        parent="parent_value",
-        lake_id="lake_id_value",
-    )
-
-    # Make the request
-    operation = client.create_lake(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = operation.result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataplexService_CreateLake_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_task_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_task_async.py
deleted file mode 100644
index 2709109a6790..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_task_async.py
+++ /dev/null
@@ -1,64 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for CreateTask
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_CreateTask_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_create_task():
-    # Create a client
-    client = dataplex_v1.DataplexServiceAsyncClient()
-
-    # Initialize request argument(s)
-    task = dataplex_v1.Task()
-    task.spark.main_jar_file_uri = "main_jar_file_uri_value"
-    task.trigger_spec.schedule = "schedule_value"
-    task.trigger_spec.type_ = "RECURRING"
-    task.execution_spec.service_account = "service_account_value"
-
-    request = dataplex_v1.CreateTaskRequest(
-        parent="parent_value",
-        task_id="task_id_value",
-        task=task,
-    )
-
-    # Make the request
-    operation = client.create_task(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = (await operation).result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataplexService_CreateTask_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_task_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_task_sync.py
deleted file mode 100644
index 8bb4de8c071c..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_task_sync.py
+++ /dev/null
@@ -1,64 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for CreateTask
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_CreateTask_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_create_task():
-    # Create a client
-    client = dataplex_v1.DataplexServiceClient()
-
-    # Initialize request argument(s)
-    task = dataplex_v1.Task()
-    task.spark.main_jar_file_uri = "main_jar_file_uri_value"
-    task.trigger_spec.schedule = "schedule_value"
-    task.trigger_spec.type_ = "RECURRING"
-    task.execution_spec.service_account = "service_account_value"
-
-    request = dataplex_v1.CreateTaskRequest(
-        parent="parent_value",
-        task_id="task_id_value",
-        task=task,
-    )
-
-    # Make the request
-    operation = client.create_task(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = operation.result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataplexService_CreateTask_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_zone_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_zone_async.py
deleted file mode 100644
index 0148ee8fc210..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_zone_async.py
+++ /dev/null
@@ -1,62 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for CreateZone
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_CreateZone_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_create_zone():
-    # Create a client
-    client = dataplex_v1.DataplexServiceAsyncClient()
-
-    # Initialize request argument(s)
-    zone = dataplex_v1.Zone()
-    zone.type_ = "CURATED"
-    zone.resource_spec.location_type = "MULTI_REGION"
-
-    request = dataplex_v1.CreateZoneRequest(
-        parent="parent_value",
-        zone_id="zone_id_value",
-        zone=zone,
-    )
-
-    # Make the request
-    operation = client.create_zone(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = (await operation).result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataplexService_CreateZone_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_zone_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_zone_sync.py
deleted file mode 100644
index 734e213bee7f..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_create_zone_sync.py
+++ /dev/null
@@ -1,62 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for CreateZone
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_CreateZone_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_create_zone():
-    # Create a client
-    client = dataplex_v1.DataplexServiceClient()
-
-    # Initialize request argument(s)
-    zone = dataplex_v1.Zone()
-    zone.type_ = "CURATED"
-    zone.resource_spec.location_type = "MULTI_REGION"
-
-    request = dataplex_v1.CreateZoneRequest(
-        parent="parent_value",
-        zone_id="zone_id_value",
-        zone=zone,
-    )
-
-    # Make the request
-    operation = client.create_zone(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = operation.result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataplexService_CreateZone_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_asset_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_asset_async.py
deleted file mode 100644
index 7fcc4e675180..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_asset_async.py
+++ /dev/null
@@ -1,56 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for DeleteAsset
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_DeleteAsset_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_delete_asset():
-    # Create a client
-    client = dataplex_v1.DataplexServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.DeleteAssetRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    operation = client.delete_asset(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = (await operation).result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataplexService_DeleteAsset_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_asset_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_asset_sync.py
deleted file mode 100644
index 45f0e36fbcb7..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_asset_sync.py
+++ /dev/null
@@ -1,56 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for DeleteAsset
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_DeleteAsset_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_delete_asset():
-    # Create a client
-    client = dataplex_v1.DataplexServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.DeleteAssetRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    operation = client.delete_asset(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = operation.result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataplexService_DeleteAsset_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_environment_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_environment_async.py
deleted file mode 100644
index bb626ad110c9..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_environment_async.py
+++ /dev/null
@@ -1,56 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for DeleteEnvironment
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_DeleteEnvironment_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_delete_environment():
-    # Create a client
-    client = dataplex_v1.DataplexServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.DeleteEnvironmentRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    operation = client.delete_environment(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = (await operation).result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataplexService_DeleteEnvironment_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_environment_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_environment_sync.py
deleted file mode 100644
index f9fe6a103eea..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_environment_sync.py
+++ /dev/null
@@ -1,56 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for DeleteEnvironment
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_DeleteEnvironment_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_delete_environment():
-    # Create a client
-    client = dataplex_v1.DataplexServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.DeleteEnvironmentRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    operation = client.delete_environment(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = operation.result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataplexService_DeleteEnvironment_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_lake_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_lake_async.py
deleted file mode 100644
index 72b244c54958..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_lake_async.py
+++ /dev/null
@@ -1,56 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for DeleteLake
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_DeleteLake_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_delete_lake():
-    # Create a client
-    client = dataplex_v1.DataplexServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.DeleteLakeRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    operation = client.delete_lake(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = (await operation).result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataplexService_DeleteLake_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_lake_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_lake_sync.py
deleted file mode 100644
index bc60e3d779cf..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_lake_sync.py
+++ /dev/null
@@ -1,56 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for DeleteLake
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_DeleteLake_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_delete_lake():
-    # Create a client
-    client = dataplex_v1.DataplexServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.DeleteLakeRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    operation = client.delete_lake(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = operation.result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataplexService_DeleteLake_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_task_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_task_async.py
deleted file mode 100644
index 744bb671e334..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_task_async.py
+++ /dev/null
@@ -1,56 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for DeleteTask
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_DeleteTask_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_delete_task():
-    # Create a client
-    client = dataplex_v1.DataplexServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.DeleteTaskRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    operation = client.delete_task(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = (await operation).result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataplexService_DeleteTask_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_task_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_task_sync.py
deleted file mode 100644
index 346621184099..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_task_sync.py
+++ /dev/null
@@ -1,56 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for DeleteTask
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_DeleteTask_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_delete_task():
-    # Create a client
-    client = dataplex_v1.DataplexServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.DeleteTaskRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    operation = client.delete_task(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = operation.result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataplexService_DeleteTask_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_zone_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_zone_async.py
deleted file mode 100644
index 5c26d14108e9..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_zone_async.py
+++ /dev/null
@@ -1,56 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for DeleteZone
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_DeleteZone_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_delete_zone():
-    # Create a client
-    client = dataplex_v1.DataplexServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.DeleteZoneRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    operation = client.delete_zone(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = (await operation).result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataplexService_DeleteZone_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_zone_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_zone_sync.py
deleted file mode 100644
index ca175cbc639e..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_delete_zone_sync.py
+++ /dev/null
@@ -1,56 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for DeleteZone
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_DeleteZone_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_delete_zone():
-    # Create a client
-    client = dataplex_v1.DataplexServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.DeleteZoneRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    operation = client.delete_zone(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = operation.result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataplexService_DeleteZone_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_asset_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_asset_async.py
deleted file mode 100644
index 00d561665ef6..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_asset_async.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for GetAsset
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_GetAsset_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_get_asset():
-    # Create a client
-    client = dataplex_v1.DataplexServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.GetAssetRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = await client.get_asset(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataplexService_GetAsset_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_asset_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_asset_sync.py
deleted file mode 100644
index b5e8b7ec2b41..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_asset_sync.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for GetAsset
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_GetAsset_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_get_asset():
-    # Create a client
-    client = dataplex_v1.DataplexServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.GetAssetRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = client.get_asset(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataplexService_GetAsset_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_environment_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_environment_async.py
deleted file mode 100644
index 3188ccf8d140..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_environment_async.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for GetEnvironment
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_GetEnvironment_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_get_environment():
-    # Create a client
-    client = dataplex_v1.DataplexServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.GetEnvironmentRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = await client.get_environment(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataplexService_GetEnvironment_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_environment_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_environment_sync.py
deleted file mode 100644
index 73399effb4c6..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_environment_sync.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for GetEnvironment
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_GetEnvironment_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_get_environment():
-    # Create a client
-    client = dataplex_v1.DataplexServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.GetEnvironmentRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = client.get_environment(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataplexService_GetEnvironment_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_job_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_job_async.py
deleted file mode 100644
index cd8194f96353..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_job_async.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for GetJob
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_GetJob_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_get_job():
-    # Create a client
-    client = dataplex_v1.DataplexServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.GetJobRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = await client.get_job(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataplexService_GetJob_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_job_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_job_sync.py
deleted file mode 100644
index 79102a31e196..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_job_sync.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for GetJob
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_GetJob_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_get_job():
-    # Create a client
-    client = dataplex_v1.DataplexServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.GetJobRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = client.get_job(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataplexService_GetJob_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_lake_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_lake_async.py
deleted file mode 100644
index 0d71549766aa..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_lake_async.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for GetLake
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_GetLake_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_get_lake():
-    # Create a client
-    client = dataplex_v1.DataplexServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.GetLakeRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = await client.get_lake(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataplexService_GetLake_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_lake_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_lake_sync.py
deleted file mode 100644
index 6089d0fd3080..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_lake_sync.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for GetLake
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_GetLake_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_get_lake():
-    # Create a client
-    client = dataplex_v1.DataplexServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.GetLakeRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = client.get_lake(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataplexService_GetLake_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_task_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_task_async.py
deleted file mode 100644
index a80b63d8165b..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_task_async.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for GetTask
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_GetTask_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_get_task():
-    # Create a client
-    client = dataplex_v1.DataplexServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.GetTaskRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = await client.get_task(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataplexService_GetTask_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_task_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_task_sync.py
deleted file mode 100644
index ac88e7053402..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_task_sync.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for GetTask
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_GetTask_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_get_task():
-    # Create a client
-    client = dataplex_v1.DataplexServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.GetTaskRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = client.get_task(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataplexService_GetTask_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_zone_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_zone_async.py
deleted file mode 100644
index dae75bef30b9..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_zone_async.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for GetZone
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_GetZone_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_get_zone():
-    # Create a client
-    client = dataplex_v1.DataplexServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.GetZoneRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = await client.get_zone(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataplexService_GetZone_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_zone_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_zone_sync.py
deleted file mode 100644
index bd09ecb2c2be..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_get_zone_sync.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for GetZone
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_GetZone_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_get_zone():
-    # Create a client
-    client = dataplex_v1.DataplexServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.GetZoneRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = client.get_zone(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataplexService_GetZone_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_asset_actions_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_asset_actions_async.py
deleted file mode 100644
index 90f53390f676..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_asset_actions_async.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListAssetActions
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_ListAssetActions_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_list_asset_actions():
-    # Create a client
-    client = dataplex_v1.DataplexServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.ListAssetActionsRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    page_result = client.list_asset_actions(request=request)
-
-    # Handle the response
-    async for response in page_result:
-        print(response)
-
-# [END dataplex_v1_generated_DataplexService_ListAssetActions_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_asset_actions_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_asset_actions_sync.py
deleted file mode 100644
index a449f1cb65db..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_asset_actions_sync.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListAssetActions
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_ListAssetActions_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_list_asset_actions():
-    # Create a client
-    client = dataplex_v1.DataplexServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.ListAssetActionsRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    page_result = client.list_asset_actions(request=request)
-
-    # Handle the response
-    for response in page_result:
-        print(response)
-
-# [END dataplex_v1_generated_DataplexService_ListAssetActions_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_assets_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_assets_async.py
deleted file mode 100644
index 8e07a6a1e784..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_assets_async.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListAssets
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_ListAssets_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_list_assets():
-    # Create a client
-    client = dataplex_v1.DataplexServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.ListAssetsRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    page_result = client.list_assets(request=request)
-
-    # Handle the response
-    async for response in page_result:
-        print(response)
-
-# [END dataplex_v1_generated_DataplexService_ListAssets_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_assets_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_assets_sync.py
deleted file mode 100644
index 484a7db1eaeb..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_assets_sync.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListAssets
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_ListAssets_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_list_assets():
-    # Create a client
-    client = dataplex_v1.DataplexServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.ListAssetsRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    page_result = client.list_assets(request=request)
-
-    # Handle the response
-    for response in page_result:
-        print(response)
-
-# [END dataplex_v1_generated_DataplexService_ListAssets_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_environments_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_environments_async.py
deleted file mode 100644
index 164415a6498b..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_environments_async.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListEnvironments
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_ListEnvironments_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_list_environments():
-    # Create a client
-    client = dataplex_v1.DataplexServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.ListEnvironmentsRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    page_result = client.list_environments(request=request)
-
-    # Handle the response
-    async for response in page_result:
-        print(response)
-
-# [END dataplex_v1_generated_DataplexService_ListEnvironments_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_environments_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_environments_sync.py
deleted file mode 100644
index 79b7fd642ab6..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_environments_sync.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListEnvironments
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_ListEnvironments_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_list_environments():
-    # Create a client
-    client = dataplex_v1.DataplexServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.ListEnvironmentsRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    page_result = client.list_environments(request=request)
-
-    # Handle the response
-    for response in page_result:
-        print(response)
-
-# [END dataplex_v1_generated_DataplexService_ListEnvironments_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_jobs_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_jobs_async.py
deleted file mode 100644
index 2de64cc90520..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_jobs_async.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListJobs
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_ListJobs_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_list_jobs():
-    # Create a client
-    client = dataplex_v1.DataplexServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.ListJobsRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    page_result = client.list_jobs(request=request)
-
-    # Handle the response
-    async for response in page_result:
-        print(response)
-
-# [END dataplex_v1_generated_DataplexService_ListJobs_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_jobs_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_jobs_sync.py
deleted file mode 100644
index 708192b9bd03..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_jobs_sync.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListJobs
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_ListJobs_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_list_jobs():
-    # Create a client
-    client = dataplex_v1.DataplexServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.ListJobsRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    page_result = client.list_jobs(request=request)
-
-    # Handle the response
-    for response in page_result:
-        print(response)
-
-# [END dataplex_v1_generated_DataplexService_ListJobs_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_lake_actions_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_lake_actions_async.py
deleted file mode 100644
index 3a9296185703..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_lake_actions_async.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListLakeActions
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_ListLakeActions_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_list_lake_actions():
-    # Create a client
-    client = dataplex_v1.DataplexServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.ListLakeActionsRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    page_result = client.list_lake_actions(request=request)
-
-    # Handle the response
-    async for response in page_result:
-        print(response)
-
-# [END dataplex_v1_generated_DataplexService_ListLakeActions_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_lake_actions_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_lake_actions_sync.py
deleted file mode 100644
index 9b3333ce8555..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_lake_actions_sync.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListLakeActions
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_ListLakeActions_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_list_lake_actions():
-    # Create a client
-    client = dataplex_v1.DataplexServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.ListLakeActionsRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    page_result = client.list_lake_actions(request=request)
-
-    # Handle the response
-    for response in page_result:
-        print(response)
-
-# [END dataplex_v1_generated_DataplexService_ListLakeActions_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_lakes_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_lakes_async.py
deleted file mode 100644
index b312e9544b9a..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_lakes_async.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListLakes
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_ListLakes_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_list_lakes():
-    # Create a client
-    client = dataplex_v1.DataplexServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.ListLakesRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    page_result = client.list_lakes(request=request)
-
-    # Handle the response
-    async for response in page_result:
-        print(response)
-
-# [END dataplex_v1_generated_DataplexService_ListLakes_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_lakes_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_lakes_sync.py
deleted file mode 100644
index e2fc0d0e6b0d..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_lakes_sync.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListLakes
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_ListLakes_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_list_lakes():
-    # Create a client
-    client = dataplex_v1.DataplexServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.ListLakesRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    page_result = client.list_lakes(request=request)
-
-    # Handle the response
-    for response in page_result:
-        print(response)
-
-# [END dataplex_v1_generated_DataplexService_ListLakes_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_sessions_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_sessions_async.py
deleted file mode 100644
index 0b265969c08f..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_sessions_async.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListSessions
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_ListSessions_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_list_sessions():
-    # Create a client
-    client = dataplex_v1.DataplexServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.ListSessionsRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    page_result = client.list_sessions(request=request)
-
-    # Handle the response
-    async for response in page_result:
-        print(response)
-
-# [END dataplex_v1_generated_DataplexService_ListSessions_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_sessions_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_sessions_sync.py
deleted file mode 100644
index 7fc0d0de9675..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_sessions_sync.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListSessions
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_ListSessions_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_list_sessions():
-    # Create a client
-    client = dataplex_v1.DataplexServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.ListSessionsRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    page_result = client.list_sessions(request=request)
-
-    # Handle the response
-    for response in page_result:
-        print(response)
-
-# [END dataplex_v1_generated_DataplexService_ListSessions_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_tasks_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_tasks_async.py
deleted file mode 100644
index 3ebe50888279..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_tasks_async.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListTasks
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_ListTasks_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_list_tasks():
-    # Create a client
-    client = dataplex_v1.DataplexServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.ListTasksRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    page_result = client.list_tasks(request=request)
-
-    # Handle the response
-    async for response in page_result:
-        print(response)
-
-# [END dataplex_v1_generated_DataplexService_ListTasks_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_tasks_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_tasks_sync.py
deleted file mode 100644
index b6a69abd53aa..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_tasks_sync.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListTasks
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_ListTasks_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_list_tasks():
-    # Create a client
-    client = dataplex_v1.DataplexServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.ListTasksRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    page_result = client.list_tasks(request=request)
-
-    # Handle the response
-    for response in page_result:
-        print(response)
-
-# [END dataplex_v1_generated_DataplexService_ListTasks_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_zone_actions_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_zone_actions_async.py
deleted file mode 100644
index 55bf491493c6..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_zone_actions_async.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListZoneActions
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_ListZoneActions_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_list_zone_actions():
-    # Create a client
-    client = dataplex_v1.DataplexServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.ListZoneActionsRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    page_result = client.list_zone_actions(request=request)
-
-    # Handle the response
-    async for response in page_result:
-        print(response)
-
-# [END dataplex_v1_generated_DataplexService_ListZoneActions_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_zone_actions_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_zone_actions_sync.py
deleted file mode 100644
index b1a4cd7d39a9..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_zone_actions_sync.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListZoneActions
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_ListZoneActions_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_list_zone_actions():
-    # Create a client
-    client = dataplex_v1.DataplexServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.ListZoneActionsRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    page_result = client.list_zone_actions(request=request)
-
-    # Handle the response
-    for response in page_result:
-        print(response)
-
-# [END dataplex_v1_generated_DataplexService_ListZoneActions_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_zones_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_zones_async.py
deleted file mode 100644
index 4387ef13b0bf..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_zones_async.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListZones
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_ListZones_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_list_zones():
-    # Create a client
-    client = dataplex_v1.DataplexServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.ListZonesRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    page_result = client.list_zones(request=request)
-
-    # Handle the response
-    async for response in page_result:
-        print(response)
-
-# [END dataplex_v1_generated_DataplexService_ListZones_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_zones_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_zones_sync.py
deleted file mode 100644
index d27df0d9fee2..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_list_zones_sync.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListZones
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_ListZones_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_list_zones():
-    # Create a client
-    client = dataplex_v1.DataplexServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.ListZonesRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    page_result = client.list_zones(request=request)
-
-    # Handle the response
-    for response in page_result:
-        print(response)
-
-# [END dataplex_v1_generated_DataplexService_ListZones_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_run_task_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_run_task_async.py
deleted file mode 100644
index 9d9d81c26094..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_run_task_async.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for RunTask
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_RunTask_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_run_task():
-    # Create a client
-    client = dataplex_v1.DataplexServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.RunTaskRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = await client.run_task(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataplexService_RunTask_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_run_task_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_run_task_sync.py
deleted file mode 100644
index 53e68cc087c8..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_run_task_sync.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for RunTask
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_RunTask_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_run_task():
-    # Create a client
-    client = dataplex_v1.DataplexServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.RunTaskRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = client.run_task(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataplexService_RunTask_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_asset_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_asset_async.py
deleted file mode 100644
index 2e52a26e6a0c..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_asset_async.py
+++ /dev/null
@@ -1,59 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for UpdateAsset
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_UpdateAsset_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_update_asset():
-    # Create a client
-    client = dataplex_v1.DataplexServiceAsyncClient()
-
-    # Initialize request argument(s)
-    asset = dataplex_v1.Asset()
-    asset.resource_spec.type_ = "BIGQUERY_DATASET"
-
-    request = dataplex_v1.UpdateAssetRequest(
-        asset=asset,
-    )
-
-    # Make the request
-    operation = client.update_asset(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = (await operation).result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataplexService_UpdateAsset_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_asset_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_asset_sync.py
deleted file mode 100644
index 89edd8ed6676..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_asset_sync.py
+++ /dev/null
@@ -1,59 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for UpdateAsset
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_UpdateAsset_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_update_asset():
-    # Create a client
-    client = dataplex_v1.DataplexServiceClient()
-
-    # Initialize request argument(s)
-    asset = dataplex_v1.Asset()
-    asset.resource_spec.type_ = "BIGQUERY_DATASET"
-
-    request = dataplex_v1.UpdateAssetRequest(
-        asset=asset,
-    )
-
-    # Make the request
-    operation = client.update_asset(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = operation.result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataplexService_UpdateAsset_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_environment_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_environment_async.py
deleted file mode 100644
index 64b312afdd8b..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_environment_async.py
+++ /dev/null
@@ -1,59 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for UpdateEnvironment
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_UpdateEnvironment_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_update_environment():
-    # Create a client
-    client = dataplex_v1.DataplexServiceAsyncClient()
-
-    # Initialize request argument(s)
-    environment = dataplex_v1.Environment()
-    environment.infrastructure_spec.os_image.image_version = "image_version_value"
-
-    request = dataplex_v1.UpdateEnvironmentRequest(
-        environment=environment,
-    )
-
-    # Make the request
-    operation = client.update_environment(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = (await operation).result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataplexService_UpdateEnvironment_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_environment_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_environment_sync.py
deleted file mode 100644
index 6475b2715973..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_environment_sync.py
+++ /dev/null
@@ -1,59 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for UpdateEnvironment
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_UpdateEnvironment_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_update_environment():
-    # Create a client
-    client = dataplex_v1.DataplexServiceClient()
-
-    # Initialize request argument(s)
-    environment = dataplex_v1.Environment()
-    environment.infrastructure_spec.os_image.image_version = "image_version_value"
-
-    request = dataplex_v1.UpdateEnvironmentRequest(
-        environment=environment,
-    )
-
-    # Make the request
-    operation = client.update_environment(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = operation.result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataplexService_UpdateEnvironment_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_lake_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_lake_async.py
deleted file mode 100644
index 2b5c336fa65e..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_lake_async.py
+++ /dev/null
@@ -1,55 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for UpdateLake
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_UpdateLake_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_update_lake():
-    # Create a client
-    client = dataplex_v1.DataplexServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.UpdateLakeRequest(
-    )
-
-    # Make the request
-    operation = client.update_lake(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = (await operation).result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataplexService_UpdateLake_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_lake_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_lake_sync.py
deleted file mode 100644
index ab9737be9bd8..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_lake_sync.py
+++ /dev/null
@@ -1,55 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for UpdateLake
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_UpdateLake_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_update_lake():
-    # Create a client
-    client = dataplex_v1.DataplexServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.UpdateLakeRequest(
-    )
-
-    # Make the request
-    operation = client.update_lake(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = operation.result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataplexService_UpdateLake_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_task_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_task_async.py
deleted file mode 100644
index 486735063aed..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_task_async.py
+++ /dev/null
@@ -1,62 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for UpdateTask
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_UpdateTask_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_update_task():
-    # Create a client
-    client = dataplex_v1.DataplexServiceAsyncClient()
-
-    # Initialize request argument(s)
-    task = dataplex_v1.Task()
-    task.spark.main_jar_file_uri = "main_jar_file_uri_value"
-    task.trigger_spec.schedule = "schedule_value"
-    task.trigger_spec.type_ = "RECURRING"
-    task.execution_spec.service_account = "service_account_value"
-
-    request = dataplex_v1.UpdateTaskRequest(
-        task=task,
-    )
-
-    # Make the request
-    operation = client.update_task(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = (await operation).result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataplexService_UpdateTask_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_task_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_task_sync.py
deleted file mode 100644
index 245be1d6a4ee..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_task_sync.py
+++ /dev/null
@@ -1,62 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for UpdateTask
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_UpdateTask_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_update_task():
-    # Create a client
-    client = dataplex_v1.DataplexServiceClient()
-
-    # Initialize request argument(s)
-    task = dataplex_v1.Task()
-    task.spark.main_jar_file_uri = "main_jar_file_uri_value"
-    task.trigger_spec.schedule = "schedule_value"
-    task.trigger_spec.type_ = "RECURRING"
-    task.execution_spec.service_account = "service_account_value"
-
-    request = dataplex_v1.UpdateTaskRequest(
-        task=task,
-    )
-
-    # Make the request
-    operation = client.update_task(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = operation.result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataplexService_UpdateTask_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_zone_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_zone_async.py
deleted file mode 100644
index fae1f8d4a5f0..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_zone_async.py
+++ /dev/null
@@ -1,60 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for UpdateZone
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_UpdateZone_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_update_zone():
-    # Create a client
-    client = dataplex_v1.DataplexServiceAsyncClient()
-
-    # Initialize request argument(s)
-    zone = dataplex_v1.Zone()
-    zone.type_ = "CURATED"
-    zone.resource_spec.location_type = "MULTI_REGION"
-
-    request = dataplex_v1.UpdateZoneRequest(
-        zone=zone,
-    )
-
-    # Make the request
-    operation = client.update_zone(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = (await operation).result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataplexService_UpdateZone_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_zone_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_zone_sync.py
deleted file mode 100644
index d12cf99292a0..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_dataplex_service_update_zone_sync.py
+++ /dev/null
@@ -1,60 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for UpdateZone
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_DataplexService_UpdateZone_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_update_zone():
-    # Create a client
-    client = dataplex_v1.DataplexServiceClient()
-
-    # Initialize request argument(s)
-    zone = dataplex_v1.Zone()
-    zone.type_ = "CURATED"
-    zone.resource_spec.location_type = "MULTI_REGION"
-
-    request = dataplex_v1.UpdateZoneRequest(
-        zone=zone,
-    )
-
-    # Make the request
-    operation = client.update_zone(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = operation.result()
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_DataplexService_UpdateZone_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_create_entity_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_create_entity_async.py
deleted file mode 100644
index 646999836556..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_create_entity_async.py
+++ /dev/null
@@ -1,62 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for CreateEntity
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_MetadataService_CreateEntity_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_create_entity():
-    # Create a client
-    client = dataplex_v1.MetadataServiceAsyncClient()
-
-    # Initialize request argument(s)
-    entity = dataplex_v1.Entity()
-    entity.id = "id_value"
-    entity.type_ = "FILESET"
-    entity.asset = "asset_value"
-    entity.data_path = "data_path_value"
-    entity.system = "BIGQUERY"
-    entity.format_.mime_type = "mime_type_value"
-    entity.schema.user_managed = True
-
-    request = dataplex_v1.CreateEntityRequest(
-        parent="parent_value",
-        entity=entity,
-    )
-
-    # Make the request
-    response = await client.create_entity(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_MetadataService_CreateEntity_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_create_entity_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_create_entity_sync.py
deleted file mode 100644
index 93fa897714bf..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_create_entity_sync.py
+++ /dev/null
@@ -1,62 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for CreateEntity
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_MetadataService_CreateEntity_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_create_entity():
-    # Create a client
-    client = dataplex_v1.MetadataServiceClient()
-
-    # Initialize request argument(s)
-    entity = dataplex_v1.Entity()
-    entity.id = "id_value"
-    entity.type_ = "FILESET"
-    entity.asset = "asset_value"
-    entity.data_path = "data_path_value"
-    entity.system = "BIGQUERY"
-    entity.format_.mime_type = "mime_type_value"
-    entity.schema.user_managed = True
-
-    request = dataplex_v1.CreateEntityRequest(
-        parent="parent_value",
-        entity=entity,
-    )
-
-    # Make the request
-    response = client.create_entity(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_MetadataService_CreateEntity_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_create_partition_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_create_partition_async.py
deleted file mode 100644
index b26600eefc21..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_create_partition_async.py
+++ /dev/null
@@ -1,57 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for CreatePartition
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_MetadataService_CreatePartition_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_create_partition():
-    # Create a client
-    client = dataplex_v1.MetadataServiceAsyncClient()
-
-    # Initialize request argument(s)
-    partition = dataplex_v1.Partition()
-    partition.values = ['values_value1', 'values_value2']
-    partition.location = "location_value"
-
-    request = dataplex_v1.CreatePartitionRequest(
-        parent="parent_value",
-        partition=partition,
-    )
-
-    # Make the request
-    response = await client.create_partition(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_MetadataService_CreatePartition_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_create_partition_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_create_partition_sync.py
deleted file mode 100644
index 5b7dc07cd1cb..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_create_partition_sync.py
+++ /dev/null
@@ -1,57 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for CreatePartition
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_MetadataService_CreatePartition_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_create_partition():
-    # Create a client
-    client = dataplex_v1.MetadataServiceClient()
-
-    # Initialize request argument(s)
-    partition = dataplex_v1.Partition()
-    partition.values = ['values_value1', 'values_value2']
-    partition.location = "location_value"
-
-    request = dataplex_v1.CreatePartitionRequest(
-        parent="parent_value",
-        partition=partition,
-    )
-
-    # Make the request
-    response = client.create_partition(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_MetadataService_CreatePartition_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_delete_entity_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_delete_entity_async.py
deleted file mode 100644
index 299fff1ade47..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_delete_entity_async.py
+++ /dev/null
@@ -1,51 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for DeleteEntity
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_MetadataService_DeleteEntity_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_delete_entity():
-    # Create a client
-    client = dataplex_v1.MetadataServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.DeleteEntityRequest(
-        name="name_value",
-        etag="etag_value",
-    )
-
-    # Make the request
-    await client.delete_entity(request=request)
-
-
-# [END dataplex_v1_generated_MetadataService_DeleteEntity_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_delete_entity_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_delete_entity_sync.py
deleted file mode 100644
index c89c6dbeac1f..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_delete_entity_sync.py
+++ /dev/null
@@ -1,51 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for DeleteEntity
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_MetadataService_DeleteEntity_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_delete_entity():
-    # Create a client
-    client = dataplex_v1.MetadataServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.DeleteEntityRequest(
-        name="name_value",
-        etag="etag_value",
-    )
-
-    # Make the request
-    client.delete_entity(request=request)
-
-
-# [END dataplex_v1_generated_MetadataService_DeleteEntity_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_delete_partition_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_delete_partition_async.py
deleted file mode 100644
index e3d17ce188a7..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_delete_partition_async.py
+++ /dev/null
@@ -1,50 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for DeletePartition
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_MetadataService_DeletePartition_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_delete_partition():
-    # Create a client
-    client = dataplex_v1.MetadataServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.DeletePartitionRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    await client.delete_partition(request=request)
-
-
-# [END dataplex_v1_generated_MetadataService_DeletePartition_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_delete_partition_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_delete_partition_sync.py
deleted file mode 100644
index 8bda087a6447..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_delete_partition_sync.py
+++ /dev/null
@@ -1,50 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for DeletePartition
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_MetadataService_DeletePartition_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_delete_partition():
-    # Create a client
-    client = dataplex_v1.MetadataServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.DeletePartitionRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    client.delete_partition(request=request)
-
-
-# [END dataplex_v1_generated_MetadataService_DeletePartition_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_get_entity_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_get_entity_async.py
deleted file mode 100644
index 040c39c0a4c5..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_get_entity_async.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for GetEntity
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_MetadataService_GetEntity_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_get_entity():
-    # Create a client
-    client = dataplex_v1.MetadataServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.GetEntityRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = await client.get_entity(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_MetadataService_GetEntity_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_get_entity_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_get_entity_sync.py
deleted file mode 100644
index 5ee30bf5fa57..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_get_entity_sync.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for GetEntity
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_MetadataService_GetEntity_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_get_entity():
-    # Create a client
-    client = dataplex_v1.MetadataServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.GetEntityRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = client.get_entity(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_MetadataService_GetEntity_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_get_partition_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_get_partition_async.py
deleted file mode 100644
index b8173acc5686..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_get_partition_async.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for GetPartition
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_MetadataService_GetPartition_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_get_partition():
-    # Create a client
-    client = dataplex_v1.MetadataServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.GetPartitionRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = await client.get_partition(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_MetadataService_GetPartition_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_get_partition_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_get_partition_sync.py
deleted file mode 100644
index 2545e37f20a7..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_get_partition_sync.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for GetPartition
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_MetadataService_GetPartition_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_get_partition():
-    # Create a client
-    client = dataplex_v1.MetadataServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.GetPartitionRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = client.get_partition(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_MetadataService_GetPartition_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_list_entities_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_list_entities_async.py
deleted file mode 100644
index 515797203908..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_list_entities_async.py
+++ /dev/null
@@ -1,54 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListEntities
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_MetadataService_ListEntities_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_list_entities():
-    # Create a client
-    client = dataplex_v1.MetadataServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.ListEntitiesRequest(
-        parent="parent_value",
-        view="FILESETS",
-    )
-
-    # Make the request
-    page_result = client.list_entities(request=request)
-
-    # Handle the response
-    async for response in page_result:
-        print(response)
-
-# [END dataplex_v1_generated_MetadataService_ListEntities_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_list_entities_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_list_entities_sync.py
deleted file mode 100644
index ba07568fef8d..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_list_entities_sync.py
+++ /dev/null
@@ -1,54 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListEntities
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_MetadataService_ListEntities_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_list_entities():
-    # Create a client
-    client = dataplex_v1.MetadataServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.ListEntitiesRequest(
-        parent="parent_value",
-        view="FILESETS",
-    )
-
-    # Make the request
-    page_result = client.list_entities(request=request)
-
-    # Handle the response
-    for response in page_result:
-        print(response)
-
-# [END dataplex_v1_generated_MetadataService_ListEntities_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_list_partitions_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_list_partitions_async.py
deleted file mode 100644
index b768b015e2f4..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_list_partitions_async.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListPartitions
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_MetadataService_ListPartitions_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_list_partitions():
-    # Create a client
-    client = dataplex_v1.MetadataServiceAsyncClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.ListPartitionsRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    page_result = client.list_partitions(request=request)
-
-    # Handle the response
-    async for response in page_result:
-        print(response)
-
-# [END dataplex_v1_generated_MetadataService_ListPartitions_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_list_partitions_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_list_partitions_sync.py
deleted file mode 100644
index ae571b8a8773..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_list_partitions_sync.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListPartitions
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_MetadataService_ListPartitions_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_list_partitions():
-    # Create a client
-    client = dataplex_v1.MetadataServiceClient()
-
-    # Initialize request argument(s)
-    request = dataplex_v1.ListPartitionsRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    page_result = client.list_partitions(request=request)
-
-    # Handle the response
-    for response in page_result:
-        print(response)
-
-# [END dataplex_v1_generated_MetadataService_ListPartitions_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_update_entity_async.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_update_entity_async.py
deleted file mode 100644
index bd878e0fb8e7..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_update_entity_async.py
+++ /dev/null
@@ -1,61 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for UpdateEntity
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_MetadataService_UpdateEntity_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-async def sample_update_entity():
-    # Create a client
-    client = dataplex_v1.MetadataServiceAsyncClient()
-
-    # Initialize request argument(s)
-    entity = dataplex_v1.Entity()
-    entity.id = "id_value"
-    entity.type_ = "FILESET"
-    entity.asset = "asset_value"
-    entity.data_path = "data_path_value"
-    entity.system = "BIGQUERY"
-    entity.format_.mime_type = "mime_type_value"
-    entity.schema.user_managed = True
-
-    request = dataplex_v1.UpdateEntityRequest(
-        entity=entity,
-    )
-
-    # Make the request
-    response = await client.update_entity(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_MetadataService_UpdateEntity_async]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_update_entity_sync.py b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_update_entity_sync.py
deleted file mode 100644
index 5362969247ef..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_metadata_service_update_entity_sync.py
+++ /dev/null
@@ -1,61 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for UpdateEntity
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-dataplex
-
-
-# [START dataplex_v1_generated_MetadataService_UpdateEntity_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import dataplex_v1
-
-
-def sample_update_entity():
-    # Create a client
-    client = dataplex_v1.MetadataServiceClient()
-
-    # Initialize request argument(s)
-    entity = dataplex_v1.Entity()
-    entity.id = "id_value"
-    entity.type_ = "FILESET"
-    entity.asset = "asset_value"
-    entity.data_path = "data_path_value"
-    entity.system = "BIGQUERY"
-    entity.format_.mime_type = "mime_type_value"
-    entity.schema.user_managed = True
-
-    request = dataplex_v1.UpdateEntityRequest(
-        entity=entity,
-    )
-
-    # Make the request
-    response = client.update_entity(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END dataplex_v1_generated_MetadataService_UpdateEntity_sync]
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/snippet_metadata_google.cloud.dataplex.v1.json b/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/snippet_metadata_google.cloud.dataplex.v1.json
deleted file mode 100644
index a7eb15b2cc0d..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/snippet_metadata_google.cloud.dataplex.v1.json
+++ /dev/null
@@ -1,16421 +0,0 @@
-{
-  "clientLibrary": {
-    "apis": [
-      {
-        "id": "google.cloud.dataplex.v1",
-        "version": "v1"
-      }
-    ],
-    "language": "PYTHON",
-    "name": "google-cloud-dataplex",
-    "version": "0.1.0"
-  },
-  "snippets": [
-    {
-      "canonical": true,
-      "clientMethod": {
-        "async": true,
-        "client": {
-          "fullName": "google.cloud.dataplex_v1.CatalogServiceAsyncClient",
-          "shortName": "CatalogServiceAsyncClient"
-        },
-        "fullName": "google.cloud.dataplex_v1.CatalogServiceAsyncClient.cancel_metadata_job",
-        "method": {
-          "fullName": "google.cloud.dataplex.v1.CatalogService.CancelMetadataJob",
-          "service": {
-            "fullName": "google.cloud.dataplex.v1.CatalogService",
-            "shortName": "CatalogService"
-          },
-          "shortName": "CancelMetadataJob"
-        },
-        "parameters": [
-          {
-            "name": "request",
-            "type": "google.cloud.dataplex_v1.types.CancelMetadataJobRequest"
-          },
-          {
-            "name": "name",
-            "type": "str"
-          },
-          {
-            "name": "retry",
-            "type": "google.api_core.retry.Retry"
-          },
-          {
-            "name": "timeout",
-            "type": "float"
-          },
-          {
-            "name": "metadata",
-            "type": "Sequence[Tuple[str, str]"
-          }
-        ],
-        "shortName": "cancel_metadata_job"
-      },
-      "description": "Sample for CancelMetadataJob",
-      "file": "dataplex_v1_generated_catalog_service_cancel_metadata_job_async.py",
-      "language": "PYTHON",
-      "origin": "API_DEFINITION",
-      "regionTag": "dataplex_v1_generated_CatalogService_CancelMetadataJob_async",
-      "segments": [
-        {
-          "end": 49,
-          "start": 27,
-          "type": "FULL"
-        },
-        {
-          "end": 49,
-          "start": 27,
-          "type": "SHORT"
-        },
-        {
-          "end": 40,
-          "start": 38,
-          "type": "CLIENT_INITIALIZATION"
-        },
-        {
-          "end": 45,
-          "start": 41,
-          "type": "REQUEST_INITIALIZATION"
-        },
-        {
-          "start": 46,
-          "type": "REQUEST_EXECUTION"
-        },
-        {
-          "end": 50,
-          "type": "RESPONSE_HANDLING"
-        }
-      ],
-      "title": "dataplex_v1_generated_catalog_service_cancel_metadata_job_async.py"
-    },
-    {
-      "canonical": true,
-      "clientMethod": {
-        "client": {
-          "fullName": "google.cloud.dataplex_v1.CatalogServiceClient",
-          "shortName": "CatalogServiceClient"
-        },
-        "fullName": "google.cloud.dataplex_v1.CatalogServiceClient.cancel_metadata_job",
-        "method": {
-          "fullName": "google.cloud.dataplex.v1.CatalogService.CancelMetadataJob",
-          "service": {
-            "fullName": "google.cloud.dataplex.v1.CatalogService",
-            "shortName": "CatalogService"
-          },
-          "shortName": "CancelMetadataJob"
-        },
-        "parameters": [
-          {
-            "name": "request",
-            "type": "google.cloud.dataplex_v1.types.CancelMetadataJobRequest"
-          },
-          {
-            "name": "name",
-            "type": "str"
-          },
-          {
-            "name": "retry",
-            "type": "google.api_core.retry.Retry"
-          },
-          {
-            "name": "timeout",
-            "type": "float"
-          },
-          {
-            "name": "metadata",
-            "type": "Sequence[Tuple[str, str]"
-          }
-        ],
-        "shortName": "cancel_metadata_job"
-      },
-      "description": "Sample for CancelMetadataJob",
-      "file": "dataplex_v1_generated_catalog_service_cancel_metadata_job_sync.py",
-      "language": "PYTHON",
-      "origin": "API_DEFINITION",
-      "regionTag": "dataplex_v1_generated_CatalogService_CancelMetadataJob_sync",
-      "segments": [
-        {
-          "end": 49,
-          "start": 27,
-          "type": "FULL"
-        },
-        {
-          "end": 49,
-          "start": 27,
-          "type": "SHORT"
-        },
-        {
-          "end": 40,
-          "start": 38,
-          "type": "CLIENT_INITIALIZATION"
-        },
-        {
-          "end": 45,
-          "start": 41,
-          "type": "REQUEST_INITIALIZATION"
-        },
-        {
-          "start": 46,
-          "type": "REQUEST_EXECUTION"
-        },
-        {
-          "end": 50,
-          "type": "RESPONSE_HANDLING"
-        }
-      ],
-      "title": "dataplex_v1_generated_catalog_service_cancel_metadata_job_sync.py"
-    },
-    {
-      "canonical": true,
-      "clientMethod": {
-        "async": true,
-        "client": {
-          "fullName": "google.cloud.dataplex_v1.CatalogServiceAsyncClient",
-          "shortName": "CatalogServiceAsyncClient"
-        },
-        "fullName": "google.cloud.dataplex_v1.CatalogServiceAsyncClient.create_aspect_type",
-        "method": {
-          "fullName": "google.cloud.dataplex.v1.CatalogService.CreateAspectType",
-          "service": {
-            "fullName": "google.cloud.dataplex.v1.CatalogService",
-            "shortName": "CatalogService"
-          },
-          "shortName": "CreateAspectType"
-        },
-        "parameters": [
-          {
-            "name": "request",
-            "type": "google.cloud.dataplex_v1.types.CreateAspectTypeRequest"
-          },
-          {
-            "name": "parent",
-            "type": "str"
-          },
-          {
-            "name": "aspect_type",
-            "type": "google.cloud.dataplex_v1.types.AspectType"
-          },
-          {
-            "name": "aspect_type_id",
-            "type": "str"
-          },
-          {
-            "name": "retry",
-            "type": "google.api_core.retry.Retry"
-          },
-          {
-            "name": "timeout",
-            "type": "float"
-          },
-          {
-            "name": "metadata",
-            "type": "Sequence[Tuple[str, str]"
-          }
-        ],
-        "resultType": "google.api_core.operation_async.AsyncOperation",
-        "shortName": "create_aspect_type"
-      },
-      "description": "Sample for CreateAspectType",
-      "file": "dataplex_v1_generated_catalog_service_create_aspect_type_async.py",
-      "language": "PYTHON",
-      "origin": "API_DEFINITION",
-      "regionTag": "dataplex_v1_generated_CatalogService_CreateAspectType_async",
-      "segments": [
-        {
-          "end": 61,
-          "start": 27,
-          "type": "FULL"
-        },
-        {
-          "end": 61,
-          "start": 27,
-          "type": "SHORT"
-        },
-        {
-          "end": 40,
-          "start": 38,
-          "type": "CLIENT_INITIALIZATION"
-        },
-        {
-          "end": 51,
-          "start": 41,
-          "type": "REQUEST_INITIALIZATION"
-        },
-        {
-          "end": 58,
-          "start": 52,
-          "type": "REQUEST_EXECUTION"
-        },
-        {
-          "end": 62,
-          "start": 59,
-          "type": "RESPONSE_HANDLING"
-        }
-      ],
-      "title": "dataplex_v1_generated_catalog_service_create_aspect_type_async.py"
-    },
-    {
-      "canonical": true,
-      "clientMethod": {
-        "client": {
-          "fullName": "google.cloud.dataplex_v1.CatalogServiceClient",
-          "shortName": "CatalogServiceClient"
-        },
-        "fullName": "google.cloud.dataplex_v1.CatalogServiceClient.create_aspect_type",
-        "method": {
-          "fullName": "google.cloud.dataplex.v1.CatalogService.CreateAspectType",
-          "service": {
-            "fullName": "google.cloud.dataplex.v1.CatalogService",
-            "shortName": "CatalogService"
-          },
-          "shortName": "CreateAspectType"
-        },
-        "parameters": [
-          {
-            "name": "request",
-            "type": "google.cloud.dataplex_v1.types.CreateAspectTypeRequest"
-          },
-          {
-            "name": "parent",
-            "type": "str"
-          },
-          {
-            "name": "aspect_type",
-            "type": "google.cloud.dataplex_v1.types.AspectType"
-          },
-          {
-            "name": "aspect_type_id",
-            "type": "str"
-          },
-          {
-            "name": "retry",
-            "type": "google.api_core.retry.Retry"
-          },
-          {
-            "name": "timeout",
-            "type": "float"
-          },
-          {
-            "name": "metadata",
-            "type": "Sequence[Tuple[str, str]"
-          }
-        ],
-        "resultType": "google.api_core.operation.Operation",
-        "shortName": "create_aspect_type"
-      },
-      "description": "Sample for CreateAspectType",
-      "file": "dataplex_v1_generated_catalog_service_create_aspect_type_sync.py",
-      "language": "PYTHON",
-      "origin": "API_DEFINITION",
-      "regionTag": "dataplex_v1_generated_CatalogService_CreateAspectType_sync",
-      "segments": [
-        {
-          "end": 61,
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-          "type": "SHORT"
-        },
-        {
-          "end": 40,
-          "start": 38,
-          "type": "CLIENT_INITIALIZATION"
-        },
-        {
-          "end": 51,
-          "start": 41,
-          "type": "REQUEST_INITIALIZATION"
-        },
-        {
-          "end": 58,
-          "start": 52,
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-        },
-        {
-          "end": 62,
-          "start": 59,
-          "type": "RESPONSE_HANDLING"
-        }
-      ],
-      "title": "dataplex_v1_generated_catalog_service_create_aspect_type_sync.py"
-    },
-    {
-      "canonical": true,
-      "clientMethod": {
-        "async": true,
-        "client": {
-          "fullName": "google.cloud.dataplex_v1.CatalogServiceAsyncClient",
-          "shortName": "CatalogServiceAsyncClient"
-        },
-        "fullName": "google.cloud.dataplex_v1.CatalogServiceAsyncClient.create_entry_group",
-        "method": {
-          "fullName": "google.cloud.dataplex.v1.CatalogService.CreateEntryGroup",
-          "service": {
-            "fullName": "google.cloud.dataplex.v1.CatalogService",
-            "shortName": "CatalogService"
-          },
-          "shortName": "CreateEntryGroup"
-        },
-        "parameters": [
-          {
-            "name": "request",
-            "type": "google.cloud.dataplex_v1.types.CreateEntryGroupRequest"
-          },
-          {
-            "name": "parent",
-            "type": "str"
-          },
-          {
-            "name": "entry_group",
-            "type": "google.cloud.dataplex_v1.types.EntryGroup"
-          },
-          {
-            "name": "entry_group_id",
-            "type": "str"
-          },
-          {
-            "name": "retry",
-            "type": "google.api_core.retry.Retry"
-          },
-          {
-            "name": "timeout",
-            "type": "float"
-          },
-          {
-            "name": "metadata",
-            "type": "Sequence[Tuple[str, str]"
-          }
-        ],
-        "resultType": "google.api_core.operation_async.AsyncOperation",
-        "shortName": "create_entry_group"
-      },
-      "description": "Sample for CreateEntryGroup",
-      "file": "dataplex_v1_generated_catalog_service_create_entry_group_async.py",
-      "language": "PYTHON",
-      "origin": "API_DEFINITION",
-      "regionTag": "dataplex_v1_generated_CatalogService_CreateEntryGroup_async",
-      "segments": [
-        {
-          "end": 56,
-          "start": 27,
-          "type": "FULL"
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-          "end": 56,
-          "start": 27,
-          "type": "SHORT"
-        },
-        {
-          "end": 40,
-          "start": 38,
-          "type": "CLIENT_INITIALIZATION"
-        },
-        {
-          "end": 46,
-          "start": 41,
-          "type": "REQUEST_INITIALIZATION"
-        },
-        {
-          "end": 53,
-          "start": 47,
-          "type": "REQUEST_EXECUTION"
-        },
-        {
-          "end": 57,
-          "start": 54,
-          "type": "RESPONSE_HANDLING"
-        }
-      ],
-      "title": "dataplex_v1_generated_catalog_service_create_entry_group_async.py"
-    },
-    {
-      "canonical": true,
-      "clientMethod": {
-        "client": {
-          "fullName": "google.cloud.dataplex_v1.CatalogServiceClient",
-          "shortName": "CatalogServiceClient"
-        },
-        "fullName": "google.cloud.dataplex_v1.CatalogServiceClient.create_entry_group",
-        "method": {
-          "fullName": "google.cloud.dataplex.v1.CatalogService.CreateEntryGroup",
-          "service": {
-            "fullName": "google.cloud.dataplex.v1.CatalogService",
-            "shortName": "CatalogService"
-          },
-          "shortName": "CreateEntryGroup"
-        },
-        "parameters": [
-          {
-            "name": "request",
-            "type": "google.cloud.dataplex_v1.types.CreateEntryGroupRequest"
-          },
-          {
-            "name": "parent",
-            "type": "str"
-          },
-          {
-            "name": "entry_group",
-            "type": "google.cloud.dataplex_v1.types.EntryGroup"
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-        "resultType": "google.cloud.dataplex_v1.services.metadata_service.pagers.ListEntitiesAsyncPager",
-        "shortName": "list_entities"
-      },
-      "description": "Sample for ListEntities",
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-        "resultType": "google.cloud.dataplex_v1.services.metadata_service.pagers.ListEntitiesPager",
-        "shortName": "list_entities"
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-        "shortName": "list_partitions"
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-        "resultType": "google.cloud.dataplex_v1.services.metadata_service.pagers.ListPartitionsPager",
-        "shortName": "list_partitions"
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-      "description": "Sample for ListPartitions",
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-          }
-        ],
-        "resultType": "google.cloud.dataplex_v1.types.Entity",
-        "shortName": "update_entity"
-      },
-      "description": "Sample for UpdateEntity",
-      "file": "dataplex_v1_generated_metadata_service_update_entity_async.py",
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-        ],
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-      "description": "Sample for UpdateEntity",
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diff --git a/owl-bot-staging/google-cloud-dataplex/v1/scripts/fixup_dataplex_v1_keywords.py b/owl-bot-staging/google-cloud-dataplex/v1/scripts/fixup_dataplex_v1_keywords.py
deleted file mode 100644
index 6681941351bf..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/scripts/fixup_dataplex_v1_keywords.py
+++ /dev/null
@@ -1,275 +0,0 @@
-#! /usr/bin/env python3
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-import argparse
-import os
-import libcst as cst
-import pathlib
-import sys
-from typing import (Any, Callable, Dict, List, Sequence, Tuple)
-
-
-def partition(
-    predicate: Callable[[Any], bool],
-    iterator: Sequence[Any]
-) -> Tuple[List[Any], List[Any]]:
-    """A stable, out-of-place partition."""
-    results = ([], [])
-
-    for i in iterator:
-        results[int(predicate(i))].append(i)
-
-    # Returns trueList, falseList
-    return results[1], results[0]
-
-
-class dataplexCallTransformer(cst.CSTTransformer):
-    CTRL_PARAMS: Tuple[str] = ('retry', 'timeout', 'metadata')
-    METHOD_TO_PARAMS: Dict[str, Tuple[str]] = {
-        'cancel_job': ('name', ),
-        'cancel_metadata_job': ('name', ),
-        'create_aspect_type': ('parent', 'aspect_type_id', 'aspect_type', 'validate_only', ),
-        'create_asset': ('parent', 'asset_id', 'asset', 'validate_only', ),
-        'create_content': ('parent', 'content', 'validate_only', ),
-        'create_data_attribute': ('parent', 'data_attribute_id', 'data_attribute', 'validate_only', ),
-        'create_data_attribute_binding': ('parent', 'data_attribute_binding_id', 'data_attribute_binding', 'validate_only', ),
-        'create_data_scan': ('parent', 'data_scan', 'data_scan_id', 'validate_only', ),
-        'create_data_taxonomy': ('parent', 'data_taxonomy_id', 'data_taxonomy', 'validate_only', ),
-        'create_entity': ('parent', 'entity', 'validate_only', ),
-        'create_entry': ('parent', 'entry_id', 'entry', ),
-        'create_entry_group': ('parent', 'entry_group_id', 'entry_group', 'validate_only', ),
-        'create_entry_type': ('parent', 'entry_type_id', 'entry_type', 'validate_only', ),
-        'create_environment': ('parent', 'environment_id', 'environment', 'validate_only', ),
-        'create_lake': ('parent', 'lake_id', 'lake', 'validate_only', ),
-        'create_metadata_job': ('parent', 'metadata_job', 'metadata_job_id', 'validate_only', ),
-        'create_partition': ('parent', 'partition', 'validate_only', ),
-        'create_task': ('parent', 'task_id', 'task', 'validate_only', ),
-        'create_zone': ('parent', 'zone_id', 'zone', 'validate_only', ),
-        'delete_aspect_type': ('name', 'etag', ),
-        'delete_asset': ('name', ),
-        'delete_content': ('name', ),
-        'delete_data_attribute': ('name', 'etag', ),
-        'delete_data_attribute_binding': ('name', 'etag', ),
-        'delete_data_scan': ('name', ),
-        'delete_data_taxonomy': ('name', 'etag', ),
-        'delete_entity': ('name', 'etag', ),
-        'delete_entry': ('name', ),
-        'delete_entry_group': ('name', 'etag', ),
-        'delete_entry_type': ('name', 'etag', ),
-        'delete_environment': ('name', ),
-        'delete_lake': ('name', ),
-        'delete_partition': ('name', 'etag', ),
-        'delete_task': ('name', ),
-        'delete_zone': ('name', ),
-        'generate_data_quality_rules': ('name', ),
-        'get_aspect_type': ('name', ),
-        'get_asset': ('name', ),
-        'get_content': ('name', 'view', ),
-        'get_data_attribute': ('name', ),
-        'get_data_attribute_binding': ('name', ),
-        'get_data_scan': ('name', 'view', ),
-        'get_data_scan_job': ('name', 'view', ),
-        'get_data_taxonomy': ('name', ),
-        'get_entity': ('name', 'view', ),
-        'get_entry': ('name', 'view', 'aspect_types', 'paths', ),
-        'get_entry_group': ('name', ),
-        'get_entry_type': ('name', ),
-        'get_environment': ('name', ),
-        'get_iam_policy': ('resource', 'options', ),
-        'get_job': ('name', ),
-        'get_lake': ('name', ),
-        'get_metadata_job': ('name', ),
-        'get_partition': ('name', ),
-        'get_task': ('name', ),
-        'get_zone': ('name', ),
-        'list_aspect_types': ('parent', 'page_size', 'page_token', 'filter', 'order_by', ),
-        'list_asset_actions': ('parent', 'page_size', 'page_token', ),
-        'list_assets': ('parent', 'page_size', 'page_token', 'filter', 'order_by', ),
-        'list_content': ('parent', 'page_size', 'page_token', 'filter', ),
-        'list_data_attribute_bindings': ('parent', 'page_size', 'page_token', 'filter', 'order_by', ),
-        'list_data_attributes': ('parent', 'page_size', 'page_token', 'filter', 'order_by', ),
-        'list_data_scan_jobs': ('parent', 'page_size', 'page_token', 'filter', ),
-        'list_data_scans': ('parent', 'page_size', 'page_token', 'filter', 'order_by', ),
-        'list_data_taxonomies': ('parent', 'page_size', 'page_token', 'filter', 'order_by', ),
-        'list_entities': ('parent', 'view', 'page_size', 'page_token', 'filter', ),
-        'list_entries': ('parent', 'page_size', 'page_token', 'filter', ),
-        'list_entry_groups': ('parent', 'page_size', 'page_token', 'filter', 'order_by', ),
-        'list_entry_types': ('parent', 'page_size', 'page_token', 'filter', 'order_by', ),
-        'list_environments': ('parent', 'page_size', 'page_token', 'filter', 'order_by', ),
-        'list_jobs': ('parent', 'page_size', 'page_token', ),
-        'list_lake_actions': ('parent', 'page_size', 'page_token', ),
-        'list_lakes': ('parent', 'page_size', 'page_token', 'filter', 'order_by', ),
-        'list_metadata_jobs': ('parent', 'page_size', 'page_token', 'filter', 'order_by', ),
-        'list_partitions': ('parent', 'page_size', 'page_token', 'filter', ),
-        'list_sessions': ('parent', 'page_size', 'page_token', 'filter', ),
-        'list_tasks': ('parent', 'page_size', 'page_token', 'filter', 'order_by', ),
-        'list_zone_actions': ('parent', 'page_size', 'page_token', ),
-        'list_zones': ('parent', 'page_size', 'page_token', 'filter', 'order_by', ),
-        'lookup_entry': ('name', 'entry', 'view', 'aspect_types', 'paths', ),
-        'run_data_scan': ('name', ),
-        'run_task': ('name', 'labels', 'args', ),
-        'search_entries': ('name', 'query', 'page_size', 'page_token', 'order_by', 'scope', ),
-        'set_iam_policy': ('resource', 'policy', 'update_mask', ),
-        'test_iam_permissions': ('resource', 'permissions', ),
-        'update_aspect_type': ('aspect_type', 'update_mask', 'validate_only', ),
-        'update_asset': ('update_mask', 'asset', 'validate_only', ),
-        'update_content': ('update_mask', 'content', 'validate_only', ),
-        'update_data_attribute': ('update_mask', 'data_attribute', 'validate_only', ),
-        'update_data_attribute_binding': ('update_mask', 'data_attribute_binding', 'validate_only', ),
-        'update_data_scan': ('data_scan', 'update_mask', 'validate_only', ),
-        'update_data_taxonomy': ('update_mask', 'data_taxonomy', 'validate_only', ),
-        'update_entity': ('entity', 'validate_only', ),
-        'update_entry': ('entry', 'update_mask', 'allow_missing', 'delete_missing_aspects', 'aspect_keys', ),
-        'update_entry_group': ('entry_group', 'update_mask', 'validate_only', ),
-        'update_entry_type': ('entry_type', 'update_mask', 'validate_only', ),
-        'update_environment': ('update_mask', 'environment', 'validate_only', ),
-        'update_lake': ('update_mask', 'lake', 'validate_only', ),
-        'update_task': ('update_mask', 'task', 'validate_only', ),
-        'update_zone': ('update_mask', 'zone', 'validate_only', ),
-    }
-
-    def leave_Call(self, original: cst.Call, updated: cst.Call) -> cst.CSTNode:
-        try:
-            key = original.func.attr.value
-            kword_params = self.METHOD_TO_PARAMS[key]
-        except (AttributeError, KeyError):
-            # Either not a method from the API or too convoluted to be sure.
-            return updated
-
-        # If the existing code is valid, keyword args come after positional args.
-        # Therefore, all positional args must map to the first parameters.
-        args, kwargs = partition(lambda a: not bool(a.keyword), updated.args)
-        if any(k.keyword.value == "request" for k in kwargs):
-            # We've already fixed this file, don't fix it again.
-            return updated
-
-        kwargs, ctrl_kwargs = partition(
-            lambda a: a.keyword.value not in self.CTRL_PARAMS,
-            kwargs
-        )
-
-        args, ctrl_args = args[:len(kword_params)], args[len(kword_params):]
-        ctrl_kwargs.extend(cst.Arg(value=a.value, keyword=cst.Name(value=ctrl))
-                           for a, ctrl in zip(ctrl_args, self.CTRL_PARAMS))
-
-        request_arg = cst.Arg(
-            value=cst.Dict([
-                cst.DictElement(
-                    cst.SimpleString("'{}'".format(name)),
-cst.Element(value=arg.value)
-                )
-                # Note: the args + kwargs looks silly, but keep in mind that
-                # the control parameters had to be stripped out, and that
-                # those could have been passed positionally or by keyword.
-                for name, arg in zip(kword_params, args + kwargs)]),
-            keyword=cst.Name("request")
-        )
-
-        return updated.with_changes(
-            args=[request_arg] + ctrl_kwargs
-        )
-
-
-def fix_files(
-    in_dir: pathlib.Path,
-    out_dir: pathlib.Path,
-    *,
-    transformer=dataplexCallTransformer(),
-):
-    """Duplicate the input dir to the output dir, fixing file method calls.
-
-    Preconditions:
-    * in_dir is a real directory
-    * out_dir is a real, empty directory
-    """
-    pyfile_gen = (
-        pathlib.Path(os.path.join(root, f))
-        for root, _, files in os.walk(in_dir)
-        for f in files if os.path.splitext(f)[1] == ".py"
-    )
-
-    for fpath in pyfile_gen:
-        with open(fpath, 'r') as f:
-            src = f.read()
-
-        # Parse the code and insert method call fixes.
-        tree = cst.parse_module(src)
-        updated = tree.visit(transformer)
-
-        # Create the path and directory structure for the new file.
-        updated_path = out_dir.joinpath(fpath.relative_to(in_dir))
-        updated_path.parent.mkdir(parents=True, exist_ok=True)
-
-        # Generate the updated source file at the corresponding path.
-        with open(updated_path, 'w') as f:
-            f.write(updated.code)
-
-
-if __name__ == '__main__':
-    parser = argparse.ArgumentParser(
-        description="""Fix up source that uses the dataplex client library.
-
-The existing sources are NOT overwritten but are copied to output_dir with changes made.
-
-Note: This tool operates at a best-effort level at converting positional
-      parameters in client method calls to keyword based parameters.
-      Cases where it WILL FAIL include
-      A) * or ** expansion in a method call.
-      B) Calls via function or method alias (includes free function calls)
-      C) Indirect or dispatched calls (e.g. the method is looked up dynamically)
-
-      These all constitute false negatives. The tool will also detect false
-      positives when an API method shares a name with another method.
-""")
-    parser.add_argument(
-        '-d',
-        '--input-directory',
-        required=True,
-        dest='input_dir',
-        help='the input directory to walk for python files to fix up',
-    )
-    parser.add_argument(
-        '-o',
-        '--output-directory',
-        required=True,
-        dest='output_dir',
-        help='the directory to output files fixed via un-flattening',
-    )
-    args = parser.parse_args()
-    input_dir = pathlib.Path(args.input_dir)
-    output_dir = pathlib.Path(args.output_dir)
-    if not input_dir.is_dir():
-        print(
-            f"input directory '{input_dir}' does not exist or is not a directory",
-            file=sys.stderr,
-        )
-        sys.exit(-1)
-
-    if not output_dir.is_dir():
-        print(
-            f"output directory '{output_dir}' does not exist or is not a directory",
-            file=sys.stderr,
-        )
-        sys.exit(-1)
-
-    if os.listdir(output_dir):
-        print(
-            f"output directory '{output_dir}' is not empty",
-            file=sys.stderr,
-        )
-        sys.exit(-1)
-
-    fix_files(input_dir, output_dir)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/setup.py b/owl-bot-staging/google-cloud-dataplex/v1/setup.py
deleted file mode 100644
index d9494d49423d..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/setup.py
+++ /dev/null
@@ -1,99 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-import io
-import os
-import re
-
-import setuptools # type: ignore
-
-package_root = os.path.abspath(os.path.dirname(__file__))
-
-name = 'google-cloud-dataplex'
-
-
-description = "Google Cloud Dataplex API client library"
-
-version = None
-
-with open(os.path.join(package_root, 'google/cloud/dataplex/gapic_version.py')) as fp:
-    version_candidates = re.findall(r"(?<=\")\d+.\d+.\d+(?=\")", fp.read())
-    assert (len(version_candidates) == 1)
-    version = version_candidates[0]
-
-if version[0] == "0":
-    release_status = "Development Status :: 4 - Beta"
-else:
-    release_status = "Development Status :: 5 - Production/Stable"
-
-dependencies = [
-    "google-api-core[grpc] >= 1.34.1, <3.0.0dev,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,!=2.7.*,!=2.8.*,!=2.9.*,!=2.10.*",
-    # Exclude incompatible versions of `google-auth`
-    # See https://github.com/googleapis/google-cloud-python/issues/12364
-    "google-auth >= 2.14.1, <3.0.0dev,!=2.24.0,!=2.25.0",
-    "proto-plus >= 1.22.3, <2.0.0dev",
-    "proto-plus >= 1.25.0, <2.0.0dev; python_version >= '3.13'",
-    "protobuf>=3.20.2,<6.0.0dev,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5",
-    "grpc-google-iam-v1 >= 0.12.4, <1.0.0dev",
-]
-extras = {
-}
-url = "https://github.com/googleapis/google-cloud-python/tree/main/packages/google-cloud-dataplex"
-
-package_root = os.path.abspath(os.path.dirname(__file__))
-
-readme_filename = os.path.join(package_root, "README.rst")
-with io.open(readme_filename, encoding="utf-8") as readme_file:
-    readme = readme_file.read()
-
-packages = [
-    package
-    for package in setuptools.find_namespace_packages()
-    if package.startswith("google")
-]
-
-setuptools.setup(
-    name=name,
-    version=version,
-    description=description,
-    long_description=readme,
-    author="Google LLC",
-    author_email="googleapis-packages@google.com",
-    license="Apache 2.0",
-    url=url,
-    classifiers=[
-        release_status,
-        "Intended Audience :: Developers",
-        "License :: OSI Approved :: Apache Software License",
-        "Programming Language :: Python",
-        "Programming Language :: Python :: 3",
-        "Programming Language :: Python :: 3.7",
-        "Programming Language :: Python :: 3.8",
-        "Programming Language :: Python :: 3.9",
-        "Programming Language :: Python :: 3.10",
-        "Programming Language :: Python :: 3.11",
-        "Programming Language :: Python :: 3.12",
-        "Programming Language :: Python :: 3.13",
-        "Operating System :: OS Independent",
-        "Topic :: Internet",
-    ],
-    platforms="Posix; MacOS X; Windows",
-    packages=packages,
-    python_requires=">=3.7",
-    install_requires=dependencies,
-    extras_require=extras,
-    include_package_data=True,
-    zip_safe=False,
-)
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/testing/constraints-3.10.txt b/owl-bot-staging/google-cloud-dataplex/v1/testing/constraints-3.10.txt
deleted file mode 100644
index ad3f0fa58e2d..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/testing/constraints-3.10.txt
+++ /dev/null
@@ -1,7 +0,0 @@
-# -*- coding: utf-8 -*-
-# This constraints file is required for unit tests.
-# List all library dependencies and extras in this file.
-google-api-core
-proto-plus
-protobuf
-grpc-google-iam-v1
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/testing/constraints-3.11.txt b/owl-bot-staging/google-cloud-dataplex/v1/testing/constraints-3.11.txt
deleted file mode 100644
index ad3f0fa58e2d..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/testing/constraints-3.11.txt
+++ /dev/null
@@ -1,7 +0,0 @@
-# -*- coding: utf-8 -*-
-# This constraints file is required for unit tests.
-# List all library dependencies and extras in this file.
-google-api-core
-proto-plus
-protobuf
-grpc-google-iam-v1
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/testing/constraints-3.12.txt b/owl-bot-staging/google-cloud-dataplex/v1/testing/constraints-3.12.txt
deleted file mode 100644
index ad3f0fa58e2d..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/testing/constraints-3.12.txt
+++ /dev/null
@@ -1,7 +0,0 @@
-# -*- coding: utf-8 -*-
-# This constraints file is required for unit tests.
-# List all library dependencies and extras in this file.
-google-api-core
-proto-plus
-protobuf
-grpc-google-iam-v1
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/testing/constraints-3.13.txt b/owl-bot-staging/google-cloud-dataplex/v1/testing/constraints-3.13.txt
deleted file mode 100644
index ad3f0fa58e2d..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/testing/constraints-3.13.txt
+++ /dev/null
@@ -1,7 +0,0 @@
-# -*- coding: utf-8 -*-
-# This constraints file is required for unit tests.
-# List all library dependencies and extras in this file.
-google-api-core
-proto-plus
-protobuf
-grpc-google-iam-v1
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/testing/constraints-3.7.txt b/owl-bot-staging/google-cloud-dataplex/v1/testing/constraints-3.7.txt
deleted file mode 100644
index a81fb6bcd05c..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/testing/constraints-3.7.txt
+++ /dev/null
@@ -1,11 +0,0 @@
-# This constraints file is used to check that lower bounds
-# are correct in setup.py
-# List all library dependencies and extras in this file.
-# Pin the version to the lower bound.
-# e.g., if setup.py has "google-cloud-foo >= 1.14.0, < 2.0.0dev",
-# Then this file should have google-cloud-foo==1.14.0
-google-api-core==1.34.1
-google-auth==2.14.1
-proto-plus==1.22.3
-protobuf==3.20.2
-grpc-google-iam-v1==0.12.4
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/testing/constraints-3.8.txt b/owl-bot-staging/google-cloud-dataplex/v1/testing/constraints-3.8.txt
deleted file mode 100644
index ad3f0fa58e2d..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/testing/constraints-3.8.txt
+++ /dev/null
@@ -1,7 +0,0 @@
-# -*- coding: utf-8 -*-
-# This constraints file is required for unit tests.
-# List all library dependencies and extras in this file.
-google-api-core
-proto-plus
-protobuf
-grpc-google-iam-v1
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/testing/constraints-3.9.txt b/owl-bot-staging/google-cloud-dataplex/v1/testing/constraints-3.9.txt
deleted file mode 100644
index ad3f0fa58e2d..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/testing/constraints-3.9.txt
+++ /dev/null
@@ -1,7 +0,0 @@
-# -*- coding: utf-8 -*-
-# This constraints file is required for unit tests.
-# List all library dependencies and extras in this file.
-google-api-core
-proto-plus
-protobuf
-grpc-google-iam-v1
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/tests/__init__.py b/owl-bot-staging/google-cloud-dataplex/v1/tests/__init__.py
deleted file mode 100644
index 7b3de3117f38..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/tests/__init__.py
+++ /dev/null
@@ -1,16 +0,0 @@
-
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/tests/unit/__init__.py b/owl-bot-staging/google-cloud-dataplex/v1/tests/unit/__init__.py
deleted file mode 100644
index 7b3de3117f38..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/tests/unit/__init__.py
+++ /dev/null
@@ -1,16 +0,0 @@
-
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/tests/unit/gapic/__init__.py b/owl-bot-staging/google-cloud-dataplex/v1/tests/unit/gapic/__init__.py
deleted file mode 100644
index 7b3de3117f38..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/tests/unit/gapic/__init__.py
+++ /dev/null
@@ -1,16 +0,0 @@
-
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/tests/unit/gapic/dataplex_v1/__init__.py b/owl-bot-staging/google-cloud-dataplex/v1/tests/unit/gapic/dataplex_v1/__init__.py
deleted file mode 100644
index 7b3de3117f38..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/tests/unit/gapic/dataplex_v1/__init__.py
+++ /dev/null
@@ -1,16 +0,0 @@
-
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/tests/unit/gapic/dataplex_v1/test_catalog_service.py b/owl-bot-staging/google-cloud-dataplex/v1/tests/unit/gapic/dataplex_v1/test_catalog_service.py
deleted file mode 100644
index 801c1fbe291a..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/tests/unit/gapic/dataplex_v1/test_catalog_service.py
+++ /dev/null
@@ -1,13193 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-import os
-# try/except added for compatibility with python < 3.8
-try:
-    from unittest import mock
-    from unittest.mock import AsyncMock  # pragma: NO COVER
-except ImportError:  # pragma: NO COVER
-    import mock
-
-import grpc
-from grpc.experimental import aio
-import math
-import pytest
-from google.api_core import api_core_version
-from proto.marshal.rules.dates import DurationRule, TimestampRule
-from proto.marshal.rules import wrappers
-
-try:
-    from google.auth.aio import credentials as ga_credentials_async
-    HAS_GOOGLE_AUTH_AIO = True
-except ImportError: # pragma: NO COVER
-    HAS_GOOGLE_AUTH_AIO = False
-
-from google.api_core import client_options
-from google.api_core import exceptions as core_exceptions
-from google.api_core import future
-from google.api_core import gapic_v1
-from google.api_core import grpc_helpers
-from google.api_core import grpc_helpers_async
-from google.api_core import operation
-from google.api_core import operation_async  # type: ignore
-from google.api_core import operations_v1
-from google.api_core import path_template
-from google.api_core import retry as retries
-from google.auth import credentials as ga_credentials
-from google.auth.exceptions import MutualTLSChannelError
-from google.cloud.dataplex_v1.services.catalog_service import CatalogServiceAsyncClient
-from google.cloud.dataplex_v1.services.catalog_service import CatalogServiceClient
-from google.cloud.dataplex_v1.services.catalog_service import pagers
-from google.cloud.dataplex_v1.services.catalog_service import transports
-from google.cloud.dataplex_v1.types import catalog
-from google.cloud.dataplex_v1.types import service
-from google.cloud.location import locations_pb2
-from google.iam.v1 import iam_policy_pb2  # type: ignore
-from google.iam.v1 import options_pb2  # type: ignore
-from google.iam.v1 import policy_pb2  # type: ignore
-from google.longrunning import operations_pb2 # type: ignore
-from google.oauth2 import service_account
-from google.protobuf import empty_pb2  # type: ignore
-from google.protobuf import field_mask_pb2  # type: ignore
-from google.protobuf import struct_pb2  # type: ignore
-from google.protobuf import timestamp_pb2  # type: ignore
-import google.auth
-
-
-async def mock_async_gen(data, chunk_size=1):
-    for i in range(0, len(data)):  # pragma: NO COVER
-        chunk = data[i : i + chunk_size]
-        yield chunk.encode("utf-8")
-
-def client_cert_source_callback():
-    return b"cert bytes", b"key bytes"
-
-# TODO: use async auth anon credentials by default once the minimum version of google-auth is upgraded.
-# See related issue: https://github.com/googleapis/gapic-generator-python/issues/2107.
-def async_anonymous_credentials():
-    if HAS_GOOGLE_AUTH_AIO:
-        return ga_credentials_async.AnonymousCredentials()
-    return ga_credentials.AnonymousCredentials()
-
-# If default endpoint is localhost, then default mtls endpoint will be the same.
-# This method modifies the default endpoint so the client can produce a different
-# mtls endpoint for endpoint testing purposes.
-def modify_default_endpoint(client):
-    return "foo.googleapis.com" if ("localhost" in client.DEFAULT_ENDPOINT) else client.DEFAULT_ENDPOINT
-
-# If default endpoint template is localhost, then default mtls endpoint will be the same.
-# This method modifies the default endpoint template so the client can produce a different
-# mtls endpoint for endpoint testing purposes.
-def modify_default_endpoint_template(client):
-    return "test.{UNIVERSE_DOMAIN}" if ("localhost" in client._DEFAULT_ENDPOINT_TEMPLATE) else client._DEFAULT_ENDPOINT_TEMPLATE
-
-
-def test__get_default_mtls_endpoint():
-    api_endpoint = "example.googleapis.com"
-    api_mtls_endpoint = "example.mtls.googleapis.com"
-    sandbox_endpoint = "example.sandbox.googleapis.com"
-    sandbox_mtls_endpoint = "example.mtls.sandbox.googleapis.com"
-    non_googleapi = "api.example.com"
-
-    assert CatalogServiceClient._get_default_mtls_endpoint(None) is None
-    assert CatalogServiceClient._get_default_mtls_endpoint(api_endpoint) == api_mtls_endpoint
-    assert CatalogServiceClient._get_default_mtls_endpoint(api_mtls_endpoint) == api_mtls_endpoint
-    assert CatalogServiceClient._get_default_mtls_endpoint(sandbox_endpoint) == sandbox_mtls_endpoint
-    assert CatalogServiceClient._get_default_mtls_endpoint(sandbox_mtls_endpoint) == sandbox_mtls_endpoint
-    assert CatalogServiceClient._get_default_mtls_endpoint(non_googleapi) == non_googleapi
-
-def test__read_environment_variables():
-    assert CatalogServiceClient._read_environment_variables() == (False, "auto", None)
-
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
-        assert CatalogServiceClient._read_environment_variables() == (True, "auto", None)
-
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "false"}):
-        assert CatalogServiceClient._read_environment_variables() == (False, "auto", None)
-
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}):
-        with pytest.raises(ValueError) as excinfo:
-            CatalogServiceClient._read_environment_variables()
-    assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`"
-
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
-        assert CatalogServiceClient._read_environment_variables() == (False, "never", None)
-
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
-        assert CatalogServiceClient._read_environment_variables() == (False, "always", None)
-
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "auto"}):
-        assert CatalogServiceClient._read_environment_variables() == (False, "auto", None)
-
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}):
-        with pytest.raises(MutualTLSChannelError) as excinfo:
-            CatalogServiceClient._read_environment_variables()
-    assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`"
-
-    with mock.patch.dict(os.environ, {"GOOGLE_CLOUD_UNIVERSE_DOMAIN": "foo.com"}):
-        assert CatalogServiceClient._read_environment_variables() == (False, "auto", "foo.com")
-
-def test__get_client_cert_source():
-    mock_provided_cert_source = mock.Mock()
-    mock_default_cert_source = mock.Mock()
-
-    assert CatalogServiceClient._get_client_cert_source(None, False) is None
-    assert CatalogServiceClient._get_client_cert_source(mock_provided_cert_source, False) is None
-    assert CatalogServiceClient._get_client_cert_source(mock_provided_cert_source, True) == mock_provided_cert_source
-
-    with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True):
-        with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=mock_default_cert_source):
-            assert CatalogServiceClient._get_client_cert_source(None, True) is mock_default_cert_source
-            assert CatalogServiceClient._get_client_cert_source(mock_provided_cert_source, "true") is mock_provided_cert_source
-
-@mock.patch.object(CatalogServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(CatalogServiceClient))
-@mock.patch.object(CatalogServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(CatalogServiceAsyncClient))
-def test__get_api_endpoint():
-    api_override = "foo.com"
-    mock_client_cert_source = mock.Mock()
-    default_universe = CatalogServiceClient._DEFAULT_UNIVERSE
-    default_endpoint = CatalogServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=default_universe)
-    mock_universe = "bar.com"
-    mock_endpoint = CatalogServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=mock_universe)
-
-    assert CatalogServiceClient._get_api_endpoint(api_override, mock_client_cert_source, default_universe, "always") == api_override
-    assert CatalogServiceClient._get_api_endpoint(None, mock_client_cert_source, default_universe, "auto") == CatalogServiceClient.DEFAULT_MTLS_ENDPOINT
-    assert CatalogServiceClient._get_api_endpoint(None, None, default_universe, "auto") == default_endpoint
-    assert CatalogServiceClient._get_api_endpoint(None, None, default_universe, "always") == CatalogServiceClient.DEFAULT_MTLS_ENDPOINT
-    assert CatalogServiceClient._get_api_endpoint(None, mock_client_cert_source, default_universe, "always") == CatalogServiceClient.DEFAULT_MTLS_ENDPOINT
-    assert CatalogServiceClient._get_api_endpoint(None, None, mock_universe, "never") == mock_endpoint
-    assert CatalogServiceClient._get_api_endpoint(None, None, default_universe, "never") == default_endpoint
-
-    with pytest.raises(MutualTLSChannelError) as excinfo:
-        CatalogServiceClient._get_api_endpoint(None, mock_client_cert_source, mock_universe, "auto")
-    assert str(excinfo.value) == "mTLS is not supported in any universe other than googleapis.com."
-
-
-def test__get_universe_domain():
-    client_universe_domain = "foo.com"
-    universe_domain_env = "bar.com"
-
-    assert CatalogServiceClient._get_universe_domain(client_universe_domain, universe_domain_env) == client_universe_domain
-    assert CatalogServiceClient._get_universe_domain(None, universe_domain_env) == universe_domain_env
-    assert CatalogServiceClient._get_universe_domain(None, None) == CatalogServiceClient._DEFAULT_UNIVERSE
-
-    with pytest.raises(ValueError) as excinfo:
-        CatalogServiceClient._get_universe_domain("", None)
-    assert str(excinfo.value) == "Universe Domain cannot be an empty string."
-
-
-@pytest.mark.parametrize("client_class,transport_name", [
-    (CatalogServiceClient, "grpc"),
-    (CatalogServiceAsyncClient, "grpc_asyncio"),
-])
-def test_catalog_service_client_from_service_account_info(client_class, transport_name):
-    creds = ga_credentials.AnonymousCredentials()
-    with mock.patch.object(service_account.Credentials, 'from_service_account_info') as factory:
-        factory.return_value = creds
-        info = {"valid": True}
-        client = client_class.from_service_account_info(info, transport=transport_name)
-        assert client.transport._credentials == creds
-        assert isinstance(client, client_class)
-
-        assert client.transport._host == (
-            'dataplex.googleapis.com:443'
-        )
-
-
-@pytest.mark.parametrize("transport_class,transport_name", [
-    (transports.CatalogServiceGrpcTransport, "grpc"),
-    (transports.CatalogServiceGrpcAsyncIOTransport, "grpc_asyncio"),
-])
-def test_catalog_service_client_service_account_always_use_jwt(transport_class, transport_name):
-    with mock.patch.object(service_account.Credentials, 'with_always_use_jwt_access', create=True) as use_jwt:
-        creds = service_account.Credentials(None, None, None)
-        transport = transport_class(credentials=creds, always_use_jwt_access=True)
-        use_jwt.assert_called_once_with(True)
-
-    with mock.patch.object(service_account.Credentials, 'with_always_use_jwt_access', create=True) as use_jwt:
-        creds = service_account.Credentials(None, None, None)
-        transport = transport_class(credentials=creds, always_use_jwt_access=False)
-        use_jwt.assert_not_called()
-
-
-@pytest.mark.parametrize("client_class,transport_name", [
-    (CatalogServiceClient, "grpc"),
-    (CatalogServiceAsyncClient, "grpc_asyncio"),
-])
-def test_catalog_service_client_from_service_account_file(client_class, transport_name):
-    creds = ga_credentials.AnonymousCredentials()
-    with mock.patch.object(service_account.Credentials, 'from_service_account_file') as factory:
-        factory.return_value = creds
-        client = client_class.from_service_account_file("dummy/file/path.json", transport=transport_name)
-        assert client.transport._credentials == creds
-        assert isinstance(client, client_class)
-
-        client = client_class.from_service_account_json("dummy/file/path.json", transport=transport_name)
-        assert client.transport._credentials == creds
-        assert isinstance(client, client_class)
-
-        assert client.transport._host == (
-            'dataplex.googleapis.com:443'
-        )
-
-
-def test_catalog_service_client_get_transport_class():
-    transport = CatalogServiceClient.get_transport_class()
-    available_transports = [
-        transports.CatalogServiceGrpcTransport,
-    ]
-    assert transport in available_transports
-
-    transport = CatalogServiceClient.get_transport_class("grpc")
-    assert transport == transports.CatalogServiceGrpcTransport
-
-
-@pytest.mark.parametrize("client_class,transport_class,transport_name", [
-    (CatalogServiceClient, transports.CatalogServiceGrpcTransport, "grpc"),
-    (CatalogServiceAsyncClient, transports.CatalogServiceGrpcAsyncIOTransport, "grpc_asyncio"),
-])
-@mock.patch.object(CatalogServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(CatalogServiceClient))
-@mock.patch.object(CatalogServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(CatalogServiceAsyncClient))
-def test_catalog_service_client_client_options(client_class, transport_class, transport_name):
-    # Check that if channel is provided we won't create a new one.
-    with mock.patch.object(CatalogServiceClient, 'get_transport_class') as gtc:
-        transport = transport_class(
-            credentials=ga_credentials.AnonymousCredentials()
-        )
-        client = client_class(transport=transport)
-        gtc.assert_not_called()
-
-    # Check that if channel is provided via str we will create a new one.
-    with mock.patch.object(CatalogServiceClient, 'get_transport_class') as gtc:
-        client = client_class(transport=transport_name)
-        gtc.assert_called()
-
-    # Check the case api_endpoint is provided.
-    options = client_options.ClientOptions(api_endpoint="squid.clam.whelk")
-    with mock.patch.object(transport_class, '__init__') as patched:
-        patched.return_value = None
-        client = client_class(transport=transport_name, client_options=options)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file=None,
-            host="squid.clam.whelk",
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-
-    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is
-    # "never".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
-        with mock.patch.object(transport_class, '__init__') as patched:
-            patched.return_value = None
-            client = client_class(transport=transport_name)
-            patched.assert_called_once_with(
-                credentials=None,
-                credentials_file=None,
-                host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
-                scopes=None,
-                client_cert_source_for_mtls=None,
-                quota_project_id=None,
-                client_info=transports.base.DEFAULT_CLIENT_INFO,
-                always_use_jwt_access=True,
-                api_audience=None,
-            )
-
-    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is
-    # "always".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
-        with mock.patch.object(transport_class, '__init__') as patched:
-            patched.return_value = None
-            client = client_class(transport=transport_name)
-            patched.assert_called_once_with(
-                credentials=None,
-                credentials_file=None,
-                host=client.DEFAULT_MTLS_ENDPOINT,
-                scopes=None,
-                client_cert_source_for_mtls=None,
-                quota_project_id=None,
-                client_info=transports.base.DEFAULT_CLIENT_INFO,
-                always_use_jwt_access=True,
-                api_audience=None,
-            )
-
-    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT has
-    # unsupported value.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}):
-        with pytest.raises(MutualTLSChannelError) as excinfo:
-            client = client_class(transport=transport_name)
-    assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`"
-
-    # Check the case GOOGLE_API_USE_CLIENT_CERTIFICATE has unsupported value.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}):
-        with pytest.raises(ValueError) as excinfo:
-            client = client_class(transport=transport_name)
-    assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`"
-
-    # Check the case quota_project_id is provided
-    options = client_options.ClientOptions(quota_project_id="octopus")
-    with mock.patch.object(transport_class, '__init__') as patched:
-        patched.return_value = None
-        client = client_class(client_options=options, transport=transport_name)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file=None,
-            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id="octopus",
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-    # Check the case api_endpoint is provided
-    options = client_options.ClientOptions(api_audience="https://language.googleapis.com")
-    with mock.patch.object(transport_class, '__init__') as patched:
-        patched.return_value = None
-        client = client_class(client_options=options, transport=transport_name)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file=None,
-            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience="https://language.googleapis.com"
-        )
-
-@pytest.mark.parametrize("client_class,transport_class,transport_name,use_client_cert_env", [
-    (CatalogServiceClient, transports.CatalogServiceGrpcTransport, "grpc", "true"),
-    (CatalogServiceAsyncClient, transports.CatalogServiceGrpcAsyncIOTransport, "grpc_asyncio", "true"),
-    (CatalogServiceClient, transports.CatalogServiceGrpcTransport, "grpc", "false"),
-    (CatalogServiceAsyncClient, transports.CatalogServiceGrpcAsyncIOTransport, "grpc_asyncio", "false"),
-])
-@mock.patch.object(CatalogServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(CatalogServiceClient))
-@mock.patch.object(CatalogServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(CatalogServiceAsyncClient))
-@mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "auto"})
-def test_catalog_service_client_mtls_env_auto(client_class, transport_class, transport_name, use_client_cert_env):
-    # This tests the endpoint autoswitch behavior. Endpoint is autoswitched to the default
-    # mtls endpoint, if GOOGLE_API_USE_CLIENT_CERTIFICATE is "true" and client cert exists.
-
-    # Check the case client_cert_source is provided. Whether client cert is used depends on
-    # GOOGLE_API_USE_CLIENT_CERTIFICATE value.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}):
-        options = client_options.ClientOptions(client_cert_source=client_cert_source_callback)
-        with mock.patch.object(transport_class, '__init__') as patched:
-            patched.return_value = None
-            client = client_class(client_options=options, transport=transport_name)
-
-            if use_client_cert_env == "false":
-                expected_client_cert_source = None
-                expected_host = client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE)
-            else:
-                expected_client_cert_source = client_cert_source_callback
-                expected_host = client.DEFAULT_MTLS_ENDPOINT
-
-            patched.assert_called_once_with(
-                credentials=None,
-                credentials_file=None,
-                host=expected_host,
-                scopes=None,
-                client_cert_source_for_mtls=expected_client_cert_source,
-                quota_project_id=None,
-                client_info=transports.base.DEFAULT_CLIENT_INFO,
-                always_use_jwt_access=True,
-                api_audience=None,
-            )
-
-    # Check the case ADC client cert is provided. Whether client cert is used depends on
-    # GOOGLE_API_USE_CLIENT_CERTIFICATE value.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}):
-        with mock.patch.object(transport_class, '__init__') as patched:
-            with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True):
-                with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=client_cert_source_callback):
-                    if use_client_cert_env == "false":
-                        expected_host = client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE)
-                        expected_client_cert_source = None
-                    else:
-                        expected_host = client.DEFAULT_MTLS_ENDPOINT
-                        expected_client_cert_source = client_cert_source_callback
-
-                    patched.return_value = None
-                    client = client_class(transport=transport_name)
-                    patched.assert_called_once_with(
-                        credentials=None,
-                        credentials_file=None,
-                        host=expected_host,
-                        scopes=None,
-                        client_cert_source_for_mtls=expected_client_cert_source,
-                        quota_project_id=None,
-                        client_info=transports.base.DEFAULT_CLIENT_INFO,
-                        always_use_jwt_access=True,
-                        api_audience=None,
-                    )
-
-    # Check the case client_cert_source and ADC client cert are not provided.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}):
-        with mock.patch.object(transport_class, '__init__') as patched:
-            with mock.patch("google.auth.transport.mtls.has_default_client_cert_source", return_value=False):
-                patched.return_value = None
-                client = client_class(transport=transport_name)
-                patched.assert_called_once_with(
-                    credentials=None,
-                    credentials_file=None,
-                    host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
-                    scopes=None,
-                    client_cert_source_for_mtls=None,
-                    quota_project_id=None,
-                    client_info=transports.base.DEFAULT_CLIENT_INFO,
-                    always_use_jwt_access=True,
-                    api_audience=None,
-                )
-
-
-@pytest.mark.parametrize("client_class", [
-    CatalogServiceClient, CatalogServiceAsyncClient
-])
-@mock.patch.object(CatalogServiceClient, "DEFAULT_ENDPOINT", modify_default_endpoint(CatalogServiceClient))
-@mock.patch.object(CatalogServiceAsyncClient, "DEFAULT_ENDPOINT", modify_default_endpoint(CatalogServiceAsyncClient))
-def test_catalog_service_client_get_mtls_endpoint_and_cert_source(client_class):
-    mock_client_cert_source = mock.Mock()
-
-    # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "true".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
-        mock_api_endpoint = "foo"
-        options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint)
-        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(options)
-        assert api_endpoint == mock_api_endpoint
-        assert cert_source == mock_client_cert_source
-
-    # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "false".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "false"}):
-        mock_client_cert_source = mock.Mock()
-        mock_api_endpoint = "foo"
-        options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint)
-        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(options)
-        assert api_endpoint == mock_api_endpoint
-        assert cert_source is None
-
-    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "never".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
-        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
-        assert api_endpoint == client_class.DEFAULT_ENDPOINT
-        assert cert_source is None
-
-    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "always".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
-        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
-        assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT
-        assert cert_source is None
-
-    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert doesn't exist.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
-        with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=False):
-            api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
-            assert api_endpoint == client_class.DEFAULT_ENDPOINT
-            assert cert_source is None
-
-    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert exists.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
-        with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True):
-            with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=mock_client_cert_source):
-                api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
-                assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT
-                assert cert_source == mock_client_cert_source
-
-    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT has
-    # unsupported value.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}):
-        with pytest.raises(MutualTLSChannelError) as excinfo:
-            client_class.get_mtls_endpoint_and_cert_source()
-
-        assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`"
-
-    # Check the case GOOGLE_API_USE_CLIENT_CERTIFICATE has unsupported value.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}):
-        with pytest.raises(ValueError) as excinfo:
-            client_class.get_mtls_endpoint_and_cert_source()
-
-        assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`"
-
-@pytest.mark.parametrize("client_class", [
-    CatalogServiceClient, CatalogServiceAsyncClient
-])
-@mock.patch.object(CatalogServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(CatalogServiceClient))
-@mock.patch.object(CatalogServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(CatalogServiceAsyncClient))
-def test_catalog_service_client_client_api_endpoint(client_class):
-    mock_client_cert_source = client_cert_source_callback
-    api_override = "foo.com"
-    default_universe = CatalogServiceClient._DEFAULT_UNIVERSE
-    default_endpoint = CatalogServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=default_universe)
-    mock_universe = "bar.com"
-    mock_endpoint = CatalogServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=mock_universe)
-
-    # If ClientOptions.api_endpoint is set and GOOGLE_API_USE_CLIENT_CERTIFICATE="true",
-    # use ClientOptions.api_endpoint as the api endpoint regardless.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
-        with mock.patch("google.auth.transport.requests.AuthorizedSession.configure_mtls_channel"):
-            options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=api_override)
-            client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials())
-            assert client.api_endpoint == api_override
-
-    # If ClientOptions.api_endpoint is not set and GOOGLE_API_USE_MTLS_ENDPOINT="never",
-    # use the _DEFAULT_ENDPOINT_TEMPLATE populated with GDU as the api endpoint.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
-        client = client_class(credentials=ga_credentials.AnonymousCredentials())
-        assert client.api_endpoint == default_endpoint
-
-    # If ClientOptions.api_endpoint is not set and GOOGLE_API_USE_MTLS_ENDPOINT="always",
-    # use the DEFAULT_MTLS_ENDPOINT as the api endpoint.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
-        client = client_class(credentials=ga_credentials.AnonymousCredentials())
-        assert client.api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT
-
-    # If ClientOptions.api_endpoint is not set, GOOGLE_API_USE_MTLS_ENDPOINT="auto" (default),
-    # GOOGLE_API_USE_CLIENT_CERTIFICATE="false" (default), default cert source doesn't exist,
-    # and ClientOptions.universe_domain="bar.com",
-    # use the _DEFAULT_ENDPOINT_TEMPLATE populated with universe domain as the api endpoint.
-    options = client_options.ClientOptions()
-    universe_exists = hasattr(options, "universe_domain")
-    if universe_exists:
-        options = client_options.ClientOptions(universe_domain=mock_universe)
-        client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials())
-    else:
-        client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials())
-    assert client.api_endpoint == (mock_endpoint if universe_exists else default_endpoint)
-    assert client.universe_domain == (mock_universe if universe_exists else default_universe)
-
-    # If ClientOptions does not have a universe domain attribute and GOOGLE_API_USE_MTLS_ENDPOINT="never",
-    # use the _DEFAULT_ENDPOINT_TEMPLATE populated with GDU as the api endpoint.
-    options = client_options.ClientOptions()
-    if hasattr(options, "universe_domain"):
-        delattr(options, "universe_domain")
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
-        client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials())
-        assert client.api_endpoint == default_endpoint
-
-
-@pytest.mark.parametrize("client_class,transport_class,transport_name", [
-    (CatalogServiceClient, transports.CatalogServiceGrpcTransport, "grpc"),
-    (CatalogServiceAsyncClient, transports.CatalogServiceGrpcAsyncIOTransport, "grpc_asyncio"),
-])
-def test_catalog_service_client_client_options_scopes(client_class, transport_class, transport_name):
-    # Check the case scopes are provided.
-    options = client_options.ClientOptions(
-        scopes=["1", "2"],
-    )
-    with mock.patch.object(transport_class, '__init__') as patched:
-        patched.return_value = None
-        client = client_class(client_options=options, transport=transport_name)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file=None,
-            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
-            scopes=["1", "2"],
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-
-@pytest.mark.parametrize("client_class,transport_class,transport_name,grpc_helpers", [
-    (CatalogServiceClient, transports.CatalogServiceGrpcTransport, "grpc", grpc_helpers),
-    (CatalogServiceAsyncClient, transports.CatalogServiceGrpcAsyncIOTransport, "grpc_asyncio", grpc_helpers_async),
-])
-def test_catalog_service_client_client_options_credentials_file(client_class, transport_class, transport_name, grpc_helpers):
-    # Check the case credentials file is provided.
-    options = client_options.ClientOptions(
-        credentials_file="credentials.json"
-    )
-
-    with mock.patch.object(transport_class, '__init__') as patched:
-        patched.return_value = None
-        client = client_class(client_options=options, transport=transport_name)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file="credentials.json",
-            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-
-def test_catalog_service_client_client_options_from_dict():
-    with mock.patch('google.cloud.dataplex_v1.services.catalog_service.transports.CatalogServiceGrpcTransport.__init__') as grpc_transport:
-        grpc_transport.return_value = None
-        client = CatalogServiceClient(
-            client_options={'api_endpoint': 'squid.clam.whelk'}
-        )
-        grpc_transport.assert_called_once_with(
-            credentials=None,
-            credentials_file=None,
-            host="squid.clam.whelk",
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-
-
-@pytest.mark.parametrize("client_class,transport_class,transport_name,grpc_helpers", [
-    (CatalogServiceClient, transports.CatalogServiceGrpcTransport, "grpc", grpc_helpers),
-    (CatalogServiceAsyncClient, transports.CatalogServiceGrpcAsyncIOTransport, "grpc_asyncio", grpc_helpers_async),
-])
-def test_catalog_service_client_create_channel_credentials_file(client_class, transport_class, transport_name, grpc_helpers):
-    # Check the case credentials file is provided.
-    options = client_options.ClientOptions(
-        credentials_file="credentials.json"
-    )
-
-    with mock.patch.object(transport_class, '__init__') as patched:
-        patched.return_value = None
-        client = client_class(client_options=options, transport=transport_name)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file="credentials.json",
-            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-
-    # test that the credentials from file are saved and used as the credentials.
-    with mock.patch.object(
-        google.auth, "load_credentials_from_file", autospec=True
-    ) as load_creds, mock.patch.object(
-        google.auth, "default", autospec=True
-    ) as adc, mock.patch.object(
-        grpc_helpers, "create_channel"
-    ) as create_channel:
-        creds = ga_credentials.AnonymousCredentials()
-        file_creds = ga_credentials.AnonymousCredentials()
-        load_creds.return_value = (file_creds, None)
-        adc.return_value = (creds, None)
-        client = client_class(client_options=options, transport=transport_name)
-        create_channel.assert_called_with(
-            "dataplex.googleapis.com:443",
-            credentials=file_creds,
-            credentials_file=None,
-            quota_project_id=None,
-            default_scopes=(
-                'https://www.googleapis.com/auth/cloud-platform',
-),
-            scopes=None,
-            default_host="dataplex.googleapis.com",
-            ssl_credentials=None,
-            options=[
-                ("grpc.max_send_message_length", -1),
-                ("grpc.max_receive_message_length", -1),
-            ],
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  catalog.CreateEntryTypeRequest,
-  dict,
-])
-def test_create_entry_type(request_type, transport: str = 'grpc'):
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_entry_type),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/spam')
-        response = client.create_entry_type(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = catalog.CreateEntryTypeRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-def test_create_entry_type_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = catalog.CreateEntryTypeRequest(
-        parent='parent_value',
-        entry_type_id='entry_type_id_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_entry_type),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.create_entry_type(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == catalog.CreateEntryTypeRequest(
-            parent='parent_value',
-            entry_type_id='entry_type_id_value',
-        )
-
-def test_create_entry_type_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = CatalogServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.create_entry_type in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.create_entry_type] = mock_rpc
-        request = {}
-        client.create_entry_type(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        client.create_entry_type(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_create_entry_type_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = CatalogServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.create_entry_type in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.create_entry_type] = mock_rpc
-
-        request = {}
-        await client.create_entry_type(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        await client.create_entry_type(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_create_entry_type_async(transport: str = 'grpc_asyncio', request_type=catalog.CreateEntryTypeRequest):
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_entry_type),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        response = await client.create_entry_type(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = catalog.CreateEntryTypeRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-@pytest.mark.asyncio
-async def test_create_entry_type_async_from_dict():
-    await test_create_entry_type_async(request_type=dict)
-
-def test_create_entry_type_field_headers():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = catalog.CreateEntryTypeRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_entry_type),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.create_entry_type(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_create_entry_type_field_headers_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = catalog.CreateEntryTypeRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_entry_type),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
-        await client.create_entry_type(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-def test_create_entry_type_flattened():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_entry_type),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.create_entry_type(
-            parent='parent_value',
-            entry_type=catalog.EntryType(name='name_value'),
-            entry_type_id='entry_type_id_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-        arg = args[0].entry_type
-        mock_val = catalog.EntryType(name='name_value')
-        assert arg == mock_val
-        arg = args[0].entry_type_id
-        mock_val = 'entry_type_id_value'
-        assert arg == mock_val
-
-
-def test_create_entry_type_flattened_error():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.create_entry_type(
-            catalog.CreateEntryTypeRequest(),
-            parent='parent_value',
-            entry_type=catalog.EntryType(name='name_value'),
-            entry_type_id='entry_type_id_value',
-        )
-
-@pytest.mark.asyncio
-async def test_create_entry_type_flattened_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_entry_type),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.create_entry_type(
-            parent='parent_value',
-            entry_type=catalog.EntryType(name='name_value'),
-            entry_type_id='entry_type_id_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-        arg = args[0].entry_type
-        mock_val = catalog.EntryType(name='name_value')
-        assert arg == mock_val
-        arg = args[0].entry_type_id
-        mock_val = 'entry_type_id_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_create_entry_type_flattened_error_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.create_entry_type(
-            catalog.CreateEntryTypeRequest(),
-            parent='parent_value',
-            entry_type=catalog.EntryType(name='name_value'),
-            entry_type_id='entry_type_id_value',
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  catalog.UpdateEntryTypeRequest,
-  dict,
-])
-def test_update_entry_type(request_type, transport: str = 'grpc'):
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_entry_type),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/spam')
-        response = client.update_entry_type(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = catalog.UpdateEntryTypeRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-def test_update_entry_type_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = catalog.UpdateEntryTypeRequest(
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_entry_type),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.update_entry_type(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == catalog.UpdateEntryTypeRequest(
-        )
-
-def test_update_entry_type_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = CatalogServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.update_entry_type in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.update_entry_type] = mock_rpc
-        request = {}
-        client.update_entry_type(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        client.update_entry_type(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_update_entry_type_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = CatalogServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.update_entry_type in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.update_entry_type] = mock_rpc
-
-        request = {}
-        await client.update_entry_type(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        await client.update_entry_type(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_update_entry_type_async(transport: str = 'grpc_asyncio', request_type=catalog.UpdateEntryTypeRequest):
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_entry_type),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        response = await client.update_entry_type(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = catalog.UpdateEntryTypeRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-@pytest.mark.asyncio
-async def test_update_entry_type_async_from_dict():
-    await test_update_entry_type_async(request_type=dict)
-
-def test_update_entry_type_field_headers():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = catalog.UpdateEntryTypeRequest()
-
-    request.entry_type.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_entry_type),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.update_entry_type(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'entry_type.name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_update_entry_type_field_headers_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = catalog.UpdateEntryTypeRequest()
-
-    request.entry_type.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_entry_type),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
-        await client.update_entry_type(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'entry_type.name=name_value',
-    ) in kw['metadata']
-
-
-def test_update_entry_type_flattened():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_entry_type),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.update_entry_type(
-            entry_type=catalog.EntryType(name='name_value'),
-            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].entry_type
-        mock_val = catalog.EntryType(name='name_value')
-        assert arg == mock_val
-        arg = args[0].update_mask
-        mock_val = field_mask_pb2.FieldMask(paths=['paths_value'])
-        assert arg == mock_val
-
-
-def test_update_entry_type_flattened_error():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.update_entry_type(
-            catalog.UpdateEntryTypeRequest(),
-            entry_type=catalog.EntryType(name='name_value'),
-            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
-        )
-
-@pytest.mark.asyncio
-async def test_update_entry_type_flattened_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_entry_type),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.update_entry_type(
-            entry_type=catalog.EntryType(name='name_value'),
-            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].entry_type
-        mock_val = catalog.EntryType(name='name_value')
-        assert arg == mock_val
-        arg = args[0].update_mask
-        mock_val = field_mask_pb2.FieldMask(paths=['paths_value'])
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_update_entry_type_flattened_error_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.update_entry_type(
-            catalog.UpdateEntryTypeRequest(),
-            entry_type=catalog.EntryType(name='name_value'),
-            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  catalog.DeleteEntryTypeRequest,
-  dict,
-])
-def test_delete_entry_type(request_type, transport: str = 'grpc'):
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_entry_type),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/spam')
-        response = client.delete_entry_type(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = catalog.DeleteEntryTypeRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-def test_delete_entry_type_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = catalog.DeleteEntryTypeRequest(
-        name='name_value',
-        etag='etag_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_entry_type),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.delete_entry_type(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == catalog.DeleteEntryTypeRequest(
-            name='name_value',
-            etag='etag_value',
-        )
-
-def test_delete_entry_type_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = CatalogServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.delete_entry_type in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.delete_entry_type] = mock_rpc
-        request = {}
-        client.delete_entry_type(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        client.delete_entry_type(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_delete_entry_type_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = CatalogServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.delete_entry_type in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.delete_entry_type] = mock_rpc
-
-        request = {}
-        await client.delete_entry_type(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        await client.delete_entry_type(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_delete_entry_type_async(transport: str = 'grpc_asyncio', request_type=catalog.DeleteEntryTypeRequest):
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_entry_type),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        response = await client.delete_entry_type(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = catalog.DeleteEntryTypeRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-@pytest.mark.asyncio
-async def test_delete_entry_type_async_from_dict():
-    await test_delete_entry_type_async(request_type=dict)
-
-def test_delete_entry_type_field_headers():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = catalog.DeleteEntryTypeRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_entry_type),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.delete_entry_type(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_delete_entry_type_field_headers_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = catalog.DeleteEntryTypeRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_entry_type),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
-        await client.delete_entry_type(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-def test_delete_entry_type_flattened():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_entry_type),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.delete_entry_type(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-
-def test_delete_entry_type_flattened_error():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.delete_entry_type(
-            catalog.DeleteEntryTypeRequest(),
-            name='name_value',
-        )
-
-@pytest.mark.asyncio
-async def test_delete_entry_type_flattened_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_entry_type),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.delete_entry_type(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_delete_entry_type_flattened_error_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.delete_entry_type(
-            catalog.DeleteEntryTypeRequest(),
-            name='name_value',
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  catalog.ListEntryTypesRequest,
-  dict,
-])
-def test_list_entry_types(request_type, transport: str = 'grpc'):
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_entry_types),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = catalog.ListEntryTypesResponse(
-            next_page_token='next_page_token_value',
-            unreachable_locations=['unreachable_locations_value'],
-        )
-        response = client.list_entry_types(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = catalog.ListEntryTypesRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListEntryTypesPager)
-    assert response.next_page_token == 'next_page_token_value'
-    assert response.unreachable_locations == ['unreachable_locations_value']
-
-
-def test_list_entry_types_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = catalog.ListEntryTypesRequest(
-        parent='parent_value',
-        page_token='page_token_value',
-        filter='filter_value',
-        order_by='order_by_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_entry_types),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.list_entry_types(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == catalog.ListEntryTypesRequest(
-            parent='parent_value',
-            page_token='page_token_value',
-            filter='filter_value',
-            order_by='order_by_value',
-        )
-
-def test_list_entry_types_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = CatalogServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.list_entry_types in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.list_entry_types] = mock_rpc
-        request = {}
-        client.list_entry_types(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.list_entry_types(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_list_entry_types_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = CatalogServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.list_entry_types in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.list_entry_types] = mock_rpc
-
-        request = {}
-        await client.list_entry_types(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.list_entry_types(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_list_entry_types_async(transport: str = 'grpc_asyncio', request_type=catalog.ListEntryTypesRequest):
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_entry_types),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(catalog.ListEntryTypesResponse(
-            next_page_token='next_page_token_value',
-            unreachable_locations=['unreachable_locations_value'],
-        ))
-        response = await client.list_entry_types(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = catalog.ListEntryTypesRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListEntryTypesAsyncPager)
-    assert response.next_page_token == 'next_page_token_value'
-    assert response.unreachable_locations == ['unreachable_locations_value']
-
-
-@pytest.mark.asyncio
-async def test_list_entry_types_async_from_dict():
-    await test_list_entry_types_async(request_type=dict)
-
-def test_list_entry_types_field_headers():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = catalog.ListEntryTypesRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_entry_types),
-            '__call__') as call:
-        call.return_value = catalog.ListEntryTypesResponse()
-        client.list_entry_types(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_list_entry_types_field_headers_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = catalog.ListEntryTypesRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_entry_types),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.ListEntryTypesResponse())
-        await client.list_entry_types(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-def test_list_entry_types_flattened():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_entry_types),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = catalog.ListEntryTypesResponse()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.list_entry_types(
-            parent='parent_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-
-
-def test_list_entry_types_flattened_error():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.list_entry_types(
-            catalog.ListEntryTypesRequest(),
-            parent='parent_value',
-        )
-
-@pytest.mark.asyncio
-async def test_list_entry_types_flattened_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_entry_types),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = catalog.ListEntryTypesResponse()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.ListEntryTypesResponse())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.list_entry_types(
-            parent='parent_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_list_entry_types_flattened_error_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.list_entry_types(
-            catalog.ListEntryTypesRequest(),
-            parent='parent_value',
-        )
-
-
-def test_list_entry_types_pager(transport_name: str = "grpc"):
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_entry_types),
-            '__call__') as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            catalog.ListEntryTypesResponse(
-                entry_types=[
-                    catalog.EntryType(),
-                    catalog.EntryType(),
-                    catalog.EntryType(),
-                ],
-                next_page_token='abc',
-            ),
-            catalog.ListEntryTypesResponse(
-                entry_types=[],
-                next_page_token='def',
-            ),
-            catalog.ListEntryTypesResponse(
-                entry_types=[
-                    catalog.EntryType(),
-                ],
-                next_page_token='ghi',
-            ),
-            catalog.ListEntryTypesResponse(
-                entry_types=[
-                    catalog.EntryType(),
-                    catalog.EntryType(),
-                ],
-            ),
-            RuntimeError,
-        )
-
-        expected_metadata = ()
-        retry = retries.Retry()
-        timeout = 5
-        expected_metadata = tuple(expected_metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ('parent', ''),
-            )),
-        )
-        pager = client.list_entry_types(request={}, retry=retry, timeout=timeout)
-
-        assert pager._metadata == expected_metadata
-        assert pager._retry == retry
-        assert pager._timeout == timeout
-
-        results = list(pager)
-        assert len(results) == 6
-        assert all(isinstance(i, catalog.EntryType)
-                   for i in results)
-def test_list_entry_types_pages(transport_name: str = "grpc"):
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_entry_types),
-            '__call__') as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            catalog.ListEntryTypesResponse(
-                entry_types=[
-                    catalog.EntryType(),
-                    catalog.EntryType(),
-                    catalog.EntryType(),
-                ],
-                next_page_token='abc',
-            ),
-            catalog.ListEntryTypesResponse(
-                entry_types=[],
-                next_page_token='def',
-            ),
-            catalog.ListEntryTypesResponse(
-                entry_types=[
-                    catalog.EntryType(),
-                ],
-                next_page_token='ghi',
-            ),
-            catalog.ListEntryTypesResponse(
-                entry_types=[
-                    catalog.EntryType(),
-                    catalog.EntryType(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = list(client.list_entry_types(request={}).pages)
-        for page_, token in zip(pages, ['abc','def','ghi', '']):
-            assert page_.raw_page.next_page_token == token
-
-@pytest.mark.asyncio
-async def test_list_entry_types_async_pager():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_entry_types),
-            '__call__', new_callable=mock.AsyncMock) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            catalog.ListEntryTypesResponse(
-                entry_types=[
-                    catalog.EntryType(),
-                    catalog.EntryType(),
-                    catalog.EntryType(),
-                ],
-                next_page_token='abc',
-            ),
-            catalog.ListEntryTypesResponse(
-                entry_types=[],
-                next_page_token='def',
-            ),
-            catalog.ListEntryTypesResponse(
-                entry_types=[
-                    catalog.EntryType(),
-                ],
-                next_page_token='ghi',
-            ),
-            catalog.ListEntryTypesResponse(
-                entry_types=[
-                    catalog.EntryType(),
-                    catalog.EntryType(),
-                ],
-            ),
-            RuntimeError,
-        )
-        async_pager = await client.list_entry_types(request={},)
-        assert async_pager.next_page_token == 'abc'
-        responses = []
-        async for response in async_pager: # pragma: no branch
-            responses.append(response)
-
-        assert len(responses) == 6
-        assert all(isinstance(i, catalog.EntryType)
-                for i in responses)
-
-
-@pytest.mark.asyncio
-async def test_list_entry_types_async_pages():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_entry_types),
-            '__call__', new_callable=mock.AsyncMock) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            catalog.ListEntryTypesResponse(
-                entry_types=[
-                    catalog.EntryType(),
-                    catalog.EntryType(),
-                    catalog.EntryType(),
-                ],
-                next_page_token='abc',
-            ),
-            catalog.ListEntryTypesResponse(
-                entry_types=[],
-                next_page_token='def',
-            ),
-            catalog.ListEntryTypesResponse(
-                entry_types=[
-                    catalog.EntryType(),
-                ],
-                next_page_token='ghi',
-            ),
-            catalog.ListEntryTypesResponse(
-                entry_types=[
-                    catalog.EntryType(),
-                    catalog.EntryType(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = []
-        # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch`
-        # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372
-        async for page_ in ( # pragma: no branch
-            await client.list_entry_types(request={})
-        ).pages:
-            pages.append(page_)
-        for page_, token in zip(pages, ['abc','def','ghi', '']):
-            assert page_.raw_page.next_page_token == token
-
-@pytest.mark.parametrize("request_type", [
-  catalog.GetEntryTypeRequest,
-  dict,
-])
-def test_get_entry_type(request_type, transport: str = 'grpc'):
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_entry_type),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = catalog.EntryType(
-            name='name_value',
-            uid='uid_value',
-            description='description_value',
-            display_name='display_name_value',
-            etag='etag_value',
-            type_aliases=['type_aliases_value'],
-            platform='platform_value',
-            system='system_value',
-        )
-        response = client.get_entry_type(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = catalog.GetEntryTypeRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, catalog.EntryType)
-    assert response.name == 'name_value'
-    assert response.uid == 'uid_value'
-    assert response.description == 'description_value'
-    assert response.display_name == 'display_name_value'
-    assert response.etag == 'etag_value'
-    assert response.type_aliases == ['type_aliases_value']
-    assert response.platform == 'platform_value'
-    assert response.system == 'system_value'
-
-
-def test_get_entry_type_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = catalog.GetEntryTypeRequest(
-        name='name_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_entry_type),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.get_entry_type(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == catalog.GetEntryTypeRequest(
-            name='name_value',
-        )
-
-def test_get_entry_type_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = CatalogServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.get_entry_type in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.get_entry_type] = mock_rpc
-        request = {}
-        client.get_entry_type(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.get_entry_type(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_get_entry_type_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = CatalogServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.get_entry_type in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.get_entry_type] = mock_rpc
-
-        request = {}
-        await client.get_entry_type(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.get_entry_type(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_get_entry_type_async(transport: str = 'grpc_asyncio', request_type=catalog.GetEntryTypeRequest):
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_entry_type),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(catalog.EntryType(
-            name='name_value',
-            uid='uid_value',
-            description='description_value',
-            display_name='display_name_value',
-            etag='etag_value',
-            type_aliases=['type_aliases_value'],
-            platform='platform_value',
-            system='system_value',
-        ))
-        response = await client.get_entry_type(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = catalog.GetEntryTypeRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, catalog.EntryType)
-    assert response.name == 'name_value'
-    assert response.uid == 'uid_value'
-    assert response.description == 'description_value'
-    assert response.display_name == 'display_name_value'
-    assert response.etag == 'etag_value'
-    assert response.type_aliases == ['type_aliases_value']
-    assert response.platform == 'platform_value'
-    assert response.system == 'system_value'
-
-
-@pytest.mark.asyncio
-async def test_get_entry_type_async_from_dict():
-    await test_get_entry_type_async(request_type=dict)
-
-def test_get_entry_type_field_headers():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = catalog.GetEntryTypeRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_entry_type),
-            '__call__') as call:
-        call.return_value = catalog.EntryType()
-        client.get_entry_type(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_get_entry_type_field_headers_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = catalog.GetEntryTypeRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_entry_type),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.EntryType())
-        await client.get_entry_type(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-def test_get_entry_type_flattened():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_entry_type),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = catalog.EntryType()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.get_entry_type(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-
-def test_get_entry_type_flattened_error():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.get_entry_type(
-            catalog.GetEntryTypeRequest(),
-            name='name_value',
-        )
-
-@pytest.mark.asyncio
-async def test_get_entry_type_flattened_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_entry_type),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = catalog.EntryType()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.EntryType())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.get_entry_type(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_get_entry_type_flattened_error_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.get_entry_type(
-            catalog.GetEntryTypeRequest(),
-            name='name_value',
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  catalog.CreateAspectTypeRequest,
-  dict,
-])
-def test_create_aspect_type(request_type, transport: str = 'grpc'):
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_aspect_type),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/spam')
-        response = client.create_aspect_type(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = catalog.CreateAspectTypeRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-def test_create_aspect_type_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = catalog.CreateAspectTypeRequest(
-        parent='parent_value',
-        aspect_type_id='aspect_type_id_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_aspect_type),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.create_aspect_type(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == catalog.CreateAspectTypeRequest(
-            parent='parent_value',
-            aspect_type_id='aspect_type_id_value',
-        )
-
-def test_create_aspect_type_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = CatalogServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.create_aspect_type in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.create_aspect_type] = mock_rpc
-        request = {}
-        client.create_aspect_type(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        client.create_aspect_type(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_create_aspect_type_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = CatalogServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.create_aspect_type in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.create_aspect_type] = mock_rpc
-
-        request = {}
-        await client.create_aspect_type(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        await client.create_aspect_type(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_create_aspect_type_async(transport: str = 'grpc_asyncio', request_type=catalog.CreateAspectTypeRequest):
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_aspect_type),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        response = await client.create_aspect_type(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = catalog.CreateAspectTypeRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-@pytest.mark.asyncio
-async def test_create_aspect_type_async_from_dict():
-    await test_create_aspect_type_async(request_type=dict)
-
-def test_create_aspect_type_field_headers():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = catalog.CreateAspectTypeRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_aspect_type),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.create_aspect_type(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_create_aspect_type_field_headers_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = catalog.CreateAspectTypeRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_aspect_type),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
-        await client.create_aspect_type(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-def test_create_aspect_type_flattened():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_aspect_type),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.create_aspect_type(
-            parent='parent_value',
-            aspect_type=catalog.AspectType(name='name_value'),
-            aspect_type_id='aspect_type_id_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-        arg = args[0].aspect_type
-        mock_val = catalog.AspectType(name='name_value')
-        assert arg == mock_val
-        arg = args[0].aspect_type_id
-        mock_val = 'aspect_type_id_value'
-        assert arg == mock_val
-
-
-def test_create_aspect_type_flattened_error():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.create_aspect_type(
-            catalog.CreateAspectTypeRequest(),
-            parent='parent_value',
-            aspect_type=catalog.AspectType(name='name_value'),
-            aspect_type_id='aspect_type_id_value',
-        )
-
-@pytest.mark.asyncio
-async def test_create_aspect_type_flattened_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_aspect_type),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.create_aspect_type(
-            parent='parent_value',
-            aspect_type=catalog.AspectType(name='name_value'),
-            aspect_type_id='aspect_type_id_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-        arg = args[0].aspect_type
-        mock_val = catalog.AspectType(name='name_value')
-        assert arg == mock_val
-        arg = args[0].aspect_type_id
-        mock_val = 'aspect_type_id_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_create_aspect_type_flattened_error_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.create_aspect_type(
-            catalog.CreateAspectTypeRequest(),
-            parent='parent_value',
-            aspect_type=catalog.AspectType(name='name_value'),
-            aspect_type_id='aspect_type_id_value',
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  catalog.UpdateAspectTypeRequest,
-  dict,
-])
-def test_update_aspect_type(request_type, transport: str = 'grpc'):
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_aspect_type),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/spam')
-        response = client.update_aspect_type(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = catalog.UpdateAspectTypeRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-def test_update_aspect_type_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = catalog.UpdateAspectTypeRequest(
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_aspect_type),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.update_aspect_type(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == catalog.UpdateAspectTypeRequest(
-        )
-
-def test_update_aspect_type_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = CatalogServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.update_aspect_type in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.update_aspect_type] = mock_rpc
-        request = {}
-        client.update_aspect_type(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        client.update_aspect_type(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_update_aspect_type_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = CatalogServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.update_aspect_type in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.update_aspect_type] = mock_rpc
-
-        request = {}
-        await client.update_aspect_type(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        await client.update_aspect_type(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_update_aspect_type_async(transport: str = 'grpc_asyncio', request_type=catalog.UpdateAspectTypeRequest):
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_aspect_type),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        response = await client.update_aspect_type(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = catalog.UpdateAspectTypeRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-@pytest.mark.asyncio
-async def test_update_aspect_type_async_from_dict():
-    await test_update_aspect_type_async(request_type=dict)
-
-def test_update_aspect_type_field_headers():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = catalog.UpdateAspectTypeRequest()
-
-    request.aspect_type.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_aspect_type),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.update_aspect_type(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'aspect_type.name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_update_aspect_type_field_headers_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = catalog.UpdateAspectTypeRequest()
-
-    request.aspect_type.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_aspect_type),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
-        await client.update_aspect_type(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'aspect_type.name=name_value',
-    ) in kw['metadata']
-
-
-def test_update_aspect_type_flattened():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_aspect_type),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.update_aspect_type(
-            aspect_type=catalog.AspectType(name='name_value'),
-            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].aspect_type
-        mock_val = catalog.AspectType(name='name_value')
-        assert arg == mock_val
-        arg = args[0].update_mask
-        mock_val = field_mask_pb2.FieldMask(paths=['paths_value'])
-        assert arg == mock_val
-
-
-def test_update_aspect_type_flattened_error():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.update_aspect_type(
-            catalog.UpdateAspectTypeRequest(),
-            aspect_type=catalog.AspectType(name='name_value'),
-            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
-        )
-
-@pytest.mark.asyncio
-async def test_update_aspect_type_flattened_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_aspect_type),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.update_aspect_type(
-            aspect_type=catalog.AspectType(name='name_value'),
-            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].aspect_type
-        mock_val = catalog.AspectType(name='name_value')
-        assert arg == mock_val
-        arg = args[0].update_mask
-        mock_val = field_mask_pb2.FieldMask(paths=['paths_value'])
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_update_aspect_type_flattened_error_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.update_aspect_type(
-            catalog.UpdateAspectTypeRequest(),
-            aspect_type=catalog.AspectType(name='name_value'),
-            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  catalog.DeleteAspectTypeRequest,
-  dict,
-])
-def test_delete_aspect_type(request_type, transport: str = 'grpc'):
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_aspect_type),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/spam')
-        response = client.delete_aspect_type(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = catalog.DeleteAspectTypeRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-def test_delete_aspect_type_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = catalog.DeleteAspectTypeRequest(
-        name='name_value',
-        etag='etag_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_aspect_type),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.delete_aspect_type(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == catalog.DeleteAspectTypeRequest(
-            name='name_value',
-            etag='etag_value',
-        )
-
-def test_delete_aspect_type_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = CatalogServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.delete_aspect_type in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.delete_aspect_type] = mock_rpc
-        request = {}
-        client.delete_aspect_type(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        client.delete_aspect_type(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_delete_aspect_type_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = CatalogServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.delete_aspect_type in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.delete_aspect_type] = mock_rpc
-
-        request = {}
-        await client.delete_aspect_type(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        await client.delete_aspect_type(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_delete_aspect_type_async(transport: str = 'grpc_asyncio', request_type=catalog.DeleteAspectTypeRequest):
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_aspect_type),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        response = await client.delete_aspect_type(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = catalog.DeleteAspectTypeRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-@pytest.mark.asyncio
-async def test_delete_aspect_type_async_from_dict():
-    await test_delete_aspect_type_async(request_type=dict)
-
-def test_delete_aspect_type_field_headers():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = catalog.DeleteAspectTypeRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_aspect_type),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.delete_aspect_type(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_delete_aspect_type_field_headers_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = catalog.DeleteAspectTypeRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_aspect_type),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
-        await client.delete_aspect_type(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-def test_delete_aspect_type_flattened():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_aspect_type),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.delete_aspect_type(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-
-def test_delete_aspect_type_flattened_error():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.delete_aspect_type(
-            catalog.DeleteAspectTypeRequest(),
-            name='name_value',
-        )
-
-@pytest.mark.asyncio
-async def test_delete_aspect_type_flattened_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_aspect_type),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.delete_aspect_type(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_delete_aspect_type_flattened_error_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.delete_aspect_type(
-            catalog.DeleteAspectTypeRequest(),
-            name='name_value',
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  catalog.ListAspectTypesRequest,
-  dict,
-])
-def test_list_aspect_types(request_type, transport: str = 'grpc'):
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_aspect_types),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = catalog.ListAspectTypesResponse(
-            next_page_token='next_page_token_value',
-            unreachable_locations=['unreachable_locations_value'],
-        )
-        response = client.list_aspect_types(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = catalog.ListAspectTypesRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListAspectTypesPager)
-    assert response.next_page_token == 'next_page_token_value'
-    assert response.unreachable_locations == ['unreachable_locations_value']
-
-
-def test_list_aspect_types_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = catalog.ListAspectTypesRequest(
-        parent='parent_value',
-        page_token='page_token_value',
-        filter='filter_value',
-        order_by='order_by_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_aspect_types),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.list_aspect_types(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == catalog.ListAspectTypesRequest(
-            parent='parent_value',
-            page_token='page_token_value',
-            filter='filter_value',
-            order_by='order_by_value',
-        )
-
-def test_list_aspect_types_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = CatalogServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.list_aspect_types in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.list_aspect_types] = mock_rpc
-        request = {}
-        client.list_aspect_types(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.list_aspect_types(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_list_aspect_types_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = CatalogServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.list_aspect_types in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.list_aspect_types] = mock_rpc
-
-        request = {}
-        await client.list_aspect_types(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.list_aspect_types(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_list_aspect_types_async(transport: str = 'grpc_asyncio', request_type=catalog.ListAspectTypesRequest):
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_aspect_types),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(catalog.ListAspectTypesResponse(
-            next_page_token='next_page_token_value',
-            unreachable_locations=['unreachable_locations_value'],
-        ))
-        response = await client.list_aspect_types(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = catalog.ListAspectTypesRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListAspectTypesAsyncPager)
-    assert response.next_page_token == 'next_page_token_value'
-    assert response.unreachable_locations == ['unreachable_locations_value']
-
-
-@pytest.mark.asyncio
-async def test_list_aspect_types_async_from_dict():
-    await test_list_aspect_types_async(request_type=dict)
-
-def test_list_aspect_types_field_headers():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = catalog.ListAspectTypesRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_aspect_types),
-            '__call__') as call:
-        call.return_value = catalog.ListAspectTypesResponse()
-        client.list_aspect_types(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_list_aspect_types_field_headers_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = catalog.ListAspectTypesRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_aspect_types),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.ListAspectTypesResponse())
-        await client.list_aspect_types(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-def test_list_aspect_types_flattened():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_aspect_types),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = catalog.ListAspectTypesResponse()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.list_aspect_types(
-            parent='parent_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-
-
-def test_list_aspect_types_flattened_error():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.list_aspect_types(
-            catalog.ListAspectTypesRequest(),
-            parent='parent_value',
-        )
-
-@pytest.mark.asyncio
-async def test_list_aspect_types_flattened_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_aspect_types),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = catalog.ListAspectTypesResponse()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.ListAspectTypesResponse())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.list_aspect_types(
-            parent='parent_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_list_aspect_types_flattened_error_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.list_aspect_types(
-            catalog.ListAspectTypesRequest(),
-            parent='parent_value',
-        )
-
-
-def test_list_aspect_types_pager(transport_name: str = "grpc"):
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_aspect_types),
-            '__call__') as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            catalog.ListAspectTypesResponse(
-                aspect_types=[
-                    catalog.AspectType(),
-                    catalog.AspectType(),
-                    catalog.AspectType(),
-                ],
-                next_page_token='abc',
-            ),
-            catalog.ListAspectTypesResponse(
-                aspect_types=[],
-                next_page_token='def',
-            ),
-            catalog.ListAspectTypesResponse(
-                aspect_types=[
-                    catalog.AspectType(),
-                ],
-                next_page_token='ghi',
-            ),
-            catalog.ListAspectTypesResponse(
-                aspect_types=[
-                    catalog.AspectType(),
-                    catalog.AspectType(),
-                ],
-            ),
-            RuntimeError,
-        )
-
-        expected_metadata = ()
-        retry = retries.Retry()
-        timeout = 5
-        expected_metadata = tuple(expected_metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ('parent', ''),
-            )),
-        )
-        pager = client.list_aspect_types(request={}, retry=retry, timeout=timeout)
-
-        assert pager._metadata == expected_metadata
-        assert pager._retry == retry
-        assert pager._timeout == timeout
-
-        results = list(pager)
-        assert len(results) == 6
-        assert all(isinstance(i, catalog.AspectType)
-                   for i in results)
-def test_list_aspect_types_pages(transport_name: str = "grpc"):
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_aspect_types),
-            '__call__') as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            catalog.ListAspectTypesResponse(
-                aspect_types=[
-                    catalog.AspectType(),
-                    catalog.AspectType(),
-                    catalog.AspectType(),
-                ],
-                next_page_token='abc',
-            ),
-            catalog.ListAspectTypesResponse(
-                aspect_types=[],
-                next_page_token='def',
-            ),
-            catalog.ListAspectTypesResponse(
-                aspect_types=[
-                    catalog.AspectType(),
-                ],
-                next_page_token='ghi',
-            ),
-            catalog.ListAspectTypesResponse(
-                aspect_types=[
-                    catalog.AspectType(),
-                    catalog.AspectType(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = list(client.list_aspect_types(request={}).pages)
-        for page_, token in zip(pages, ['abc','def','ghi', '']):
-            assert page_.raw_page.next_page_token == token
-
-@pytest.mark.asyncio
-async def test_list_aspect_types_async_pager():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_aspect_types),
-            '__call__', new_callable=mock.AsyncMock) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            catalog.ListAspectTypesResponse(
-                aspect_types=[
-                    catalog.AspectType(),
-                    catalog.AspectType(),
-                    catalog.AspectType(),
-                ],
-                next_page_token='abc',
-            ),
-            catalog.ListAspectTypesResponse(
-                aspect_types=[],
-                next_page_token='def',
-            ),
-            catalog.ListAspectTypesResponse(
-                aspect_types=[
-                    catalog.AspectType(),
-                ],
-                next_page_token='ghi',
-            ),
-            catalog.ListAspectTypesResponse(
-                aspect_types=[
-                    catalog.AspectType(),
-                    catalog.AspectType(),
-                ],
-            ),
-            RuntimeError,
-        )
-        async_pager = await client.list_aspect_types(request={},)
-        assert async_pager.next_page_token == 'abc'
-        responses = []
-        async for response in async_pager: # pragma: no branch
-            responses.append(response)
-
-        assert len(responses) == 6
-        assert all(isinstance(i, catalog.AspectType)
-                for i in responses)
-
-
-@pytest.mark.asyncio
-async def test_list_aspect_types_async_pages():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_aspect_types),
-            '__call__', new_callable=mock.AsyncMock) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            catalog.ListAspectTypesResponse(
-                aspect_types=[
-                    catalog.AspectType(),
-                    catalog.AspectType(),
-                    catalog.AspectType(),
-                ],
-                next_page_token='abc',
-            ),
-            catalog.ListAspectTypesResponse(
-                aspect_types=[],
-                next_page_token='def',
-            ),
-            catalog.ListAspectTypesResponse(
-                aspect_types=[
-                    catalog.AspectType(),
-                ],
-                next_page_token='ghi',
-            ),
-            catalog.ListAspectTypesResponse(
-                aspect_types=[
-                    catalog.AspectType(),
-                    catalog.AspectType(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = []
-        # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch`
-        # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372
-        async for page_ in ( # pragma: no branch
-            await client.list_aspect_types(request={})
-        ).pages:
-            pages.append(page_)
-        for page_, token in zip(pages, ['abc','def','ghi', '']):
-            assert page_.raw_page.next_page_token == token
-
-@pytest.mark.parametrize("request_type", [
-  catalog.GetAspectTypeRequest,
-  dict,
-])
-def test_get_aspect_type(request_type, transport: str = 'grpc'):
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_aspect_type),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = catalog.AspectType(
-            name='name_value',
-            uid='uid_value',
-            description='description_value',
-            display_name='display_name_value',
-            etag='etag_value',
-            transfer_status=catalog.TransferStatus.TRANSFER_STATUS_MIGRATED,
-        )
-        response = client.get_aspect_type(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = catalog.GetAspectTypeRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, catalog.AspectType)
-    assert response.name == 'name_value'
-    assert response.uid == 'uid_value'
-    assert response.description == 'description_value'
-    assert response.display_name == 'display_name_value'
-    assert response.etag == 'etag_value'
-    assert response.transfer_status == catalog.TransferStatus.TRANSFER_STATUS_MIGRATED
-
-
-def test_get_aspect_type_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = catalog.GetAspectTypeRequest(
-        name='name_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_aspect_type),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.get_aspect_type(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == catalog.GetAspectTypeRequest(
-            name='name_value',
-        )
-
-def test_get_aspect_type_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = CatalogServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.get_aspect_type in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.get_aspect_type] = mock_rpc
-        request = {}
-        client.get_aspect_type(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.get_aspect_type(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_get_aspect_type_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = CatalogServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.get_aspect_type in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.get_aspect_type] = mock_rpc
-
-        request = {}
-        await client.get_aspect_type(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.get_aspect_type(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_get_aspect_type_async(transport: str = 'grpc_asyncio', request_type=catalog.GetAspectTypeRequest):
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_aspect_type),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(catalog.AspectType(
-            name='name_value',
-            uid='uid_value',
-            description='description_value',
-            display_name='display_name_value',
-            etag='etag_value',
-            transfer_status=catalog.TransferStatus.TRANSFER_STATUS_MIGRATED,
-        ))
-        response = await client.get_aspect_type(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = catalog.GetAspectTypeRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, catalog.AspectType)
-    assert response.name == 'name_value'
-    assert response.uid == 'uid_value'
-    assert response.description == 'description_value'
-    assert response.display_name == 'display_name_value'
-    assert response.etag == 'etag_value'
-    assert response.transfer_status == catalog.TransferStatus.TRANSFER_STATUS_MIGRATED
-
-
-@pytest.mark.asyncio
-async def test_get_aspect_type_async_from_dict():
-    await test_get_aspect_type_async(request_type=dict)
-
-def test_get_aspect_type_field_headers():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = catalog.GetAspectTypeRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_aspect_type),
-            '__call__') as call:
-        call.return_value = catalog.AspectType()
-        client.get_aspect_type(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_get_aspect_type_field_headers_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = catalog.GetAspectTypeRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_aspect_type),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.AspectType())
-        await client.get_aspect_type(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-def test_get_aspect_type_flattened():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_aspect_type),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = catalog.AspectType()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.get_aspect_type(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-
-def test_get_aspect_type_flattened_error():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.get_aspect_type(
-            catalog.GetAspectTypeRequest(),
-            name='name_value',
-        )
-
-@pytest.mark.asyncio
-async def test_get_aspect_type_flattened_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_aspect_type),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = catalog.AspectType()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.AspectType())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.get_aspect_type(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_get_aspect_type_flattened_error_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.get_aspect_type(
-            catalog.GetAspectTypeRequest(),
-            name='name_value',
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  catalog.CreateEntryGroupRequest,
-  dict,
-])
-def test_create_entry_group(request_type, transport: str = 'grpc'):
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_entry_group),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/spam')
-        response = client.create_entry_group(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = catalog.CreateEntryGroupRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-def test_create_entry_group_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = catalog.CreateEntryGroupRequest(
-        parent='parent_value',
-        entry_group_id='entry_group_id_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_entry_group),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.create_entry_group(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == catalog.CreateEntryGroupRequest(
-            parent='parent_value',
-            entry_group_id='entry_group_id_value',
-        )
-
-def test_create_entry_group_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = CatalogServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.create_entry_group in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.create_entry_group] = mock_rpc
-        request = {}
-        client.create_entry_group(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        client.create_entry_group(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_create_entry_group_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = CatalogServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.create_entry_group in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.create_entry_group] = mock_rpc
-
-        request = {}
-        await client.create_entry_group(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        await client.create_entry_group(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_create_entry_group_async(transport: str = 'grpc_asyncio', request_type=catalog.CreateEntryGroupRequest):
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_entry_group),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        response = await client.create_entry_group(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = catalog.CreateEntryGroupRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-@pytest.mark.asyncio
-async def test_create_entry_group_async_from_dict():
-    await test_create_entry_group_async(request_type=dict)
-
-def test_create_entry_group_field_headers():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = catalog.CreateEntryGroupRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_entry_group),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.create_entry_group(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_create_entry_group_field_headers_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = catalog.CreateEntryGroupRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_entry_group),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
-        await client.create_entry_group(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-def test_create_entry_group_flattened():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_entry_group),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.create_entry_group(
-            parent='parent_value',
-            entry_group=catalog.EntryGroup(name='name_value'),
-            entry_group_id='entry_group_id_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-        arg = args[0].entry_group
-        mock_val = catalog.EntryGroup(name='name_value')
-        assert arg == mock_val
-        arg = args[0].entry_group_id
-        mock_val = 'entry_group_id_value'
-        assert arg == mock_val
-
-
-def test_create_entry_group_flattened_error():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.create_entry_group(
-            catalog.CreateEntryGroupRequest(),
-            parent='parent_value',
-            entry_group=catalog.EntryGroup(name='name_value'),
-            entry_group_id='entry_group_id_value',
-        )
-
-@pytest.mark.asyncio
-async def test_create_entry_group_flattened_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_entry_group),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.create_entry_group(
-            parent='parent_value',
-            entry_group=catalog.EntryGroup(name='name_value'),
-            entry_group_id='entry_group_id_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-        arg = args[0].entry_group
-        mock_val = catalog.EntryGroup(name='name_value')
-        assert arg == mock_val
-        arg = args[0].entry_group_id
-        mock_val = 'entry_group_id_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_create_entry_group_flattened_error_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.create_entry_group(
-            catalog.CreateEntryGroupRequest(),
-            parent='parent_value',
-            entry_group=catalog.EntryGroup(name='name_value'),
-            entry_group_id='entry_group_id_value',
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  catalog.UpdateEntryGroupRequest,
-  dict,
-])
-def test_update_entry_group(request_type, transport: str = 'grpc'):
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_entry_group),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/spam')
-        response = client.update_entry_group(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = catalog.UpdateEntryGroupRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-def test_update_entry_group_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = catalog.UpdateEntryGroupRequest(
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_entry_group),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.update_entry_group(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == catalog.UpdateEntryGroupRequest(
-        )
-
-def test_update_entry_group_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = CatalogServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.update_entry_group in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.update_entry_group] = mock_rpc
-        request = {}
-        client.update_entry_group(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        client.update_entry_group(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_update_entry_group_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = CatalogServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.update_entry_group in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.update_entry_group] = mock_rpc
-
-        request = {}
-        await client.update_entry_group(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        await client.update_entry_group(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_update_entry_group_async(transport: str = 'grpc_asyncio', request_type=catalog.UpdateEntryGroupRequest):
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_entry_group),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        response = await client.update_entry_group(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = catalog.UpdateEntryGroupRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-@pytest.mark.asyncio
-async def test_update_entry_group_async_from_dict():
-    await test_update_entry_group_async(request_type=dict)
-
-def test_update_entry_group_field_headers():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = catalog.UpdateEntryGroupRequest()
-
-    request.entry_group.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_entry_group),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.update_entry_group(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'entry_group.name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_update_entry_group_field_headers_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = catalog.UpdateEntryGroupRequest()
-
-    request.entry_group.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_entry_group),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
-        await client.update_entry_group(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'entry_group.name=name_value',
-    ) in kw['metadata']
-
-
-def test_update_entry_group_flattened():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_entry_group),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.update_entry_group(
-            entry_group=catalog.EntryGroup(name='name_value'),
-            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].entry_group
-        mock_val = catalog.EntryGroup(name='name_value')
-        assert arg == mock_val
-        arg = args[0].update_mask
-        mock_val = field_mask_pb2.FieldMask(paths=['paths_value'])
-        assert arg == mock_val
-
-
-def test_update_entry_group_flattened_error():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.update_entry_group(
-            catalog.UpdateEntryGroupRequest(),
-            entry_group=catalog.EntryGroup(name='name_value'),
-            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
-        )
-
-@pytest.mark.asyncio
-async def test_update_entry_group_flattened_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_entry_group),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.update_entry_group(
-            entry_group=catalog.EntryGroup(name='name_value'),
-            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].entry_group
-        mock_val = catalog.EntryGroup(name='name_value')
-        assert arg == mock_val
-        arg = args[0].update_mask
-        mock_val = field_mask_pb2.FieldMask(paths=['paths_value'])
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_update_entry_group_flattened_error_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.update_entry_group(
-            catalog.UpdateEntryGroupRequest(),
-            entry_group=catalog.EntryGroup(name='name_value'),
-            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  catalog.DeleteEntryGroupRequest,
-  dict,
-])
-def test_delete_entry_group(request_type, transport: str = 'grpc'):
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_entry_group),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/spam')
-        response = client.delete_entry_group(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = catalog.DeleteEntryGroupRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-def test_delete_entry_group_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = catalog.DeleteEntryGroupRequest(
-        name='name_value',
-        etag='etag_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_entry_group),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.delete_entry_group(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == catalog.DeleteEntryGroupRequest(
-            name='name_value',
-            etag='etag_value',
-        )
-
-def test_delete_entry_group_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = CatalogServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.delete_entry_group in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.delete_entry_group] = mock_rpc
-        request = {}
-        client.delete_entry_group(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        client.delete_entry_group(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_delete_entry_group_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = CatalogServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.delete_entry_group in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.delete_entry_group] = mock_rpc
-
-        request = {}
-        await client.delete_entry_group(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        await client.delete_entry_group(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_delete_entry_group_async(transport: str = 'grpc_asyncio', request_type=catalog.DeleteEntryGroupRequest):
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_entry_group),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        response = await client.delete_entry_group(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = catalog.DeleteEntryGroupRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-@pytest.mark.asyncio
-async def test_delete_entry_group_async_from_dict():
-    await test_delete_entry_group_async(request_type=dict)
-
-def test_delete_entry_group_field_headers():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = catalog.DeleteEntryGroupRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_entry_group),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.delete_entry_group(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_delete_entry_group_field_headers_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = catalog.DeleteEntryGroupRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_entry_group),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
-        await client.delete_entry_group(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-def test_delete_entry_group_flattened():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_entry_group),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.delete_entry_group(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-
-def test_delete_entry_group_flattened_error():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.delete_entry_group(
-            catalog.DeleteEntryGroupRequest(),
-            name='name_value',
-        )
-
-@pytest.mark.asyncio
-async def test_delete_entry_group_flattened_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_entry_group),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.delete_entry_group(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_delete_entry_group_flattened_error_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.delete_entry_group(
-            catalog.DeleteEntryGroupRequest(),
-            name='name_value',
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  catalog.ListEntryGroupsRequest,
-  dict,
-])
-def test_list_entry_groups(request_type, transport: str = 'grpc'):
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_entry_groups),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = catalog.ListEntryGroupsResponse(
-            next_page_token='next_page_token_value',
-            unreachable_locations=['unreachable_locations_value'],
-        )
-        response = client.list_entry_groups(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = catalog.ListEntryGroupsRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListEntryGroupsPager)
-    assert response.next_page_token == 'next_page_token_value'
-    assert response.unreachable_locations == ['unreachable_locations_value']
-
-
-def test_list_entry_groups_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = catalog.ListEntryGroupsRequest(
-        parent='parent_value',
-        page_token='page_token_value',
-        filter='filter_value',
-        order_by='order_by_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_entry_groups),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.list_entry_groups(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == catalog.ListEntryGroupsRequest(
-            parent='parent_value',
-            page_token='page_token_value',
-            filter='filter_value',
-            order_by='order_by_value',
-        )
-
-def test_list_entry_groups_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = CatalogServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.list_entry_groups in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.list_entry_groups] = mock_rpc
-        request = {}
-        client.list_entry_groups(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.list_entry_groups(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_list_entry_groups_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = CatalogServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.list_entry_groups in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.list_entry_groups] = mock_rpc
-
-        request = {}
-        await client.list_entry_groups(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.list_entry_groups(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_list_entry_groups_async(transport: str = 'grpc_asyncio', request_type=catalog.ListEntryGroupsRequest):
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_entry_groups),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(catalog.ListEntryGroupsResponse(
-            next_page_token='next_page_token_value',
-            unreachable_locations=['unreachable_locations_value'],
-        ))
-        response = await client.list_entry_groups(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = catalog.ListEntryGroupsRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListEntryGroupsAsyncPager)
-    assert response.next_page_token == 'next_page_token_value'
-    assert response.unreachable_locations == ['unreachable_locations_value']
-
-
-@pytest.mark.asyncio
-async def test_list_entry_groups_async_from_dict():
-    await test_list_entry_groups_async(request_type=dict)
-
-def test_list_entry_groups_field_headers():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = catalog.ListEntryGroupsRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_entry_groups),
-            '__call__') as call:
-        call.return_value = catalog.ListEntryGroupsResponse()
-        client.list_entry_groups(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_list_entry_groups_field_headers_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = catalog.ListEntryGroupsRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_entry_groups),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.ListEntryGroupsResponse())
-        await client.list_entry_groups(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-def test_list_entry_groups_flattened():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_entry_groups),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = catalog.ListEntryGroupsResponse()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.list_entry_groups(
-            parent='parent_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-
-
-def test_list_entry_groups_flattened_error():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.list_entry_groups(
-            catalog.ListEntryGroupsRequest(),
-            parent='parent_value',
-        )
-
-@pytest.mark.asyncio
-async def test_list_entry_groups_flattened_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_entry_groups),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = catalog.ListEntryGroupsResponse()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.ListEntryGroupsResponse())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.list_entry_groups(
-            parent='parent_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_list_entry_groups_flattened_error_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.list_entry_groups(
-            catalog.ListEntryGroupsRequest(),
-            parent='parent_value',
-        )
-
-
-def test_list_entry_groups_pager(transport_name: str = "grpc"):
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_entry_groups),
-            '__call__') as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            catalog.ListEntryGroupsResponse(
-                entry_groups=[
-                    catalog.EntryGroup(),
-                    catalog.EntryGroup(),
-                    catalog.EntryGroup(),
-                ],
-                next_page_token='abc',
-            ),
-            catalog.ListEntryGroupsResponse(
-                entry_groups=[],
-                next_page_token='def',
-            ),
-            catalog.ListEntryGroupsResponse(
-                entry_groups=[
-                    catalog.EntryGroup(),
-                ],
-                next_page_token='ghi',
-            ),
-            catalog.ListEntryGroupsResponse(
-                entry_groups=[
-                    catalog.EntryGroup(),
-                    catalog.EntryGroup(),
-                ],
-            ),
-            RuntimeError,
-        )
-
-        expected_metadata = ()
-        retry = retries.Retry()
-        timeout = 5
-        expected_metadata = tuple(expected_metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ('parent', ''),
-            )),
-        )
-        pager = client.list_entry_groups(request={}, retry=retry, timeout=timeout)
-
-        assert pager._metadata == expected_metadata
-        assert pager._retry == retry
-        assert pager._timeout == timeout
-
-        results = list(pager)
-        assert len(results) == 6
-        assert all(isinstance(i, catalog.EntryGroup)
-                   for i in results)
-def test_list_entry_groups_pages(transport_name: str = "grpc"):
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_entry_groups),
-            '__call__') as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            catalog.ListEntryGroupsResponse(
-                entry_groups=[
-                    catalog.EntryGroup(),
-                    catalog.EntryGroup(),
-                    catalog.EntryGroup(),
-                ],
-                next_page_token='abc',
-            ),
-            catalog.ListEntryGroupsResponse(
-                entry_groups=[],
-                next_page_token='def',
-            ),
-            catalog.ListEntryGroupsResponse(
-                entry_groups=[
-                    catalog.EntryGroup(),
-                ],
-                next_page_token='ghi',
-            ),
-            catalog.ListEntryGroupsResponse(
-                entry_groups=[
-                    catalog.EntryGroup(),
-                    catalog.EntryGroup(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = list(client.list_entry_groups(request={}).pages)
-        for page_, token in zip(pages, ['abc','def','ghi', '']):
-            assert page_.raw_page.next_page_token == token
-
-@pytest.mark.asyncio
-async def test_list_entry_groups_async_pager():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_entry_groups),
-            '__call__', new_callable=mock.AsyncMock) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            catalog.ListEntryGroupsResponse(
-                entry_groups=[
-                    catalog.EntryGroup(),
-                    catalog.EntryGroup(),
-                    catalog.EntryGroup(),
-                ],
-                next_page_token='abc',
-            ),
-            catalog.ListEntryGroupsResponse(
-                entry_groups=[],
-                next_page_token='def',
-            ),
-            catalog.ListEntryGroupsResponse(
-                entry_groups=[
-                    catalog.EntryGroup(),
-                ],
-                next_page_token='ghi',
-            ),
-            catalog.ListEntryGroupsResponse(
-                entry_groups=[
-                    catalog.EntryGroup(),
-                    catalog.EntryGroup(),
-                ],
-            ),
-            RuntimeError,
-        )
-        async_pager = await client.list_entry_groups(request={},)
-        assert async_pager.next_page_token == 'abc'
-        responses = []
-        async for response in async_pager: # pragma: no branch
-            responses.append(response)
-
-        assert len(responses) == 6
-        assert all(isinstance(i, catalog.EntryGroup)
-                for i in responses)
-
-
-@pytest.mark.asyncio
-async def test_list_entry_groups_async_pages():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_entry_groups),
-            '__call__', new_callable=mock.AsyncMock) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            catalog.ListEntryGroupsResponse(
-                entry_groups=[
-                    catalog.EntryGroup(),
-                    catalog.EntryGroup(),
-                    catalog.EntryGroup(),
-                ],
-                next_page_token='abc',
-            ),
-            catalog.ListEntryGroupsResponse(
-                entry_groups=[],
-                next_page_token='def',
-            ),
-            catalog.ListEntryGroupsResponse(
-                entry_groups=[
-                    catalog.EntryGroup(),
-                ],
-                next_page_token='ghi',
-            ),
-            catalog.ListEntryGroupsResponse(
-                entry_groups=[
-                    catalog.EntryGroup(),
-                    catalog.EntryGroup(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = []
-        # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch`
-        # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372
-        async for page_ in ( # pragma: no branch
-            await client.list_entry_groups(request={})
-        ).pages:
-            pages.append(page_)
-        for page_, token in zip(pages, ['abc','def','ghi', '']):
-            assert page_.raw_page.next_page_token == token
-
-@pytest.mark.parametrize("request_type", [
-  catalog.GetEntryGroupRequest,
-  dict,
-])
-def test_get_entry_group(request_type, transport: str = 'grpc'):
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_entry_group),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = catalog.EntryGroup(
-            name='name_value',
-            uid='uid_value',
-            description='description_value',
-            display_name='display_name_value',
-            etag='etag_value',
-            transfer_status=catalog.TransferStatus.TRANSFER_STATUS_MIGRATED,
-        )
-        response = client.get_entry_group(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = catalog.GetEntryGroupRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, catalog.EntryGroup)
-    assert response.name == 'name_value'
-    assert response.uid == 'uid_value'
-    assert response.description == 'description_value'
-    assert response.display_name == 'display_name_value'
-    assert response.etag == 'etag_value'
-    assert response.transfer_status == catalog.TransferStatus.TRANSFER_STATUS_MIGRATED
-
-
-def test_get_entry_group_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = catalog.GetEntryGroupRequest(
-        name='name_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_entry_group),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.get_entry_group(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == catalog.GetEntryGroupRequest(
-            name='name_value',
-        )
-
-def test_get_entry_group_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = CatalogServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.get_entry_group in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.get_entry_group] = mock_rpc
-        request = {}
-        client.get_entry_group(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.get_entry_group(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_get_entry_group_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = CatalogServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.get_entry_group in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.get_entry_group] = mock_rpc
-
-        request = {}
-        await client.get_entry_group(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.get_entry_group(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_get_entry_group_async(transport: str = 'grpc_asyncio', request_type=catalog.GetEntryGroupRequest):
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_entry_group),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(catalog.EntryGroup(
-            name='name_value',
-            uid='uid_value',
-            description='description_value',
-            display_name='display_name_value',
-            etag='etag_value',
-            transfer_status=catalog.TransferStatus.TRANSFER_STATUS_MIGRATED,
-        ))
-        response = await client.get_entry_group(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = catalog.GetEntryGroupRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, catalog.EntryGroup)
-    assert response.name == 'name_value'
-    assert response.uid == 'uid_value'
-    assert response.description == 'description_value'
-    assert response.display_name == 'display_name_value'
-    assert response.etag == 'etag_value'
-    assert response.transfer_status == catalog.TransferStatus.TRANSFER_STATUS_MIGRATED
-
-
-@pytest.mark.asyncio
-async def test_get_entry_group_async_from_dict():
-    await test_get_entry_group_async(request_type=dict)
-
-def test_get_entry_group_field_headers():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = catalog.GetEntryGroupRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_entry_group),
-            '__call__') as call:
-        call.return_value = catalog.EntryGroup()
-        client.get_entry_group(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_get_entry_group_field_headers_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = catalog.GetEntryGroupRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_entry_group),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.EntryGroup())
-        await client.get_entry_group(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-def test_get_entry_group_flattened():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_entry_group),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = catalog.EntryGroup()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.get_entry_group(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-
-def test_get_entry_group_flattened_error():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.get_entry_group(
-            catalog.GetEntryGroupRequest(),
-            name='name_value',
-        )
-
-@pytest.mark.asyncio
-async def test_get_entry_group_flattened_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_entry_group),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = catalog.EntryGroup()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.EntryGroup())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.get_entry_group(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_get_entry_group_flattened_error_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.get_entry_group(
-            catalog.GetEntryGroupRequest(),
-            name='name_value',
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  catalog.CreateEntryRequest,
-  dict,
-])
-def test_create_entry(request_type, transport: str = 'grpc'):
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_entry),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = catalog.Entry(
-            name='name_value',
-            entry_type='entry_type_value',
-            parent_entry='parent_entry_value',
-            fully_qualified_name='fully_qualified_name_value',
-        )
-        response = client.create_entry(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = catalog.CreateEntryRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, catalog.Entry)
-    assert response.name == 'name_value'
-    assert response.entry_type == 'entry_type_value'
-    assert response.parent_entry == 'parent_entry_value'
-    assert response.fully_qualified_name == 'fully_qualified_name_value'
-
-
-def test_create_entry_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = catalog.CreateEntryRequest(
-        parent='parent_value',
-        entry_id='entry_id_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_entry),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.create_entry(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == catalog.CreateEntryRequest(
-            parent='parent_value',
-            entry_id='entry_id_value',
-        )
-
-def test_create_entry_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = CatalogServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.create_entry in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.create_entry] = mock_rpc
-        request = {}
-        client.create_entry(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.create_entry(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_create_entry_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = CatalogServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.create_entry in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.create_entry] = mock_rpc
-
-        request = {}
-        await client.create_entry(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.create_entry(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_create_entry_async(transport: str = 'grpc_asyncio', request_type=catalog.CreateEntryRequest):
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_entry),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(catalog.Entry(
-            name='name_value',
-            entry_type='entry_type_value',
-            parent_entry='parent_entry_value',
-            fully_qualified_name='fully_qualified_name_value',
-        ))
-        response = await client.create_entry(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = catalog.CreateEntryRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, catalog.Entry)
-    assert response.name == 'name_value'
-    assert response.entry_type == 'entry_type_value'
-    assert response.parent_entry == 'parent_entry_value'
-    assert response.fully_qualified_name == 'fully_qualified_name_value'
-
-
-@pytest.mark.asyncio
-async def test_create_entry_async_from_dict():
-    await test_create_entry_async(request_type=dict)
-
-def test_create_entry_field_headers():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = catalog.CreateEntryRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_entry),
-            '__call__') as call:
-        call.return_value = catalog.Entry()
-        client.create_entry(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_create_entry_field_headers_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = catalog.CreateEntryRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_entry),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.Entry())
-        await client.create_entry(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-def test_create_entry_flattened():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_entry),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = catalog.Entry()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.create_entry(
-            parent='parent_value',
-            entry=catalog.Entry(name='name_value'),
-            entry_id='entry_id_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-        arg = args[0].entry
-        mock_val = catalog.Entry(name='name_value')
-        assert arg == mock_val
-        arg = args[0].entry_id
-        mock_val = 'entry_id_value'
-        assert arg == mock_val
-
-
-def test_create_entry_flattened_error():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.create_entry(
-            catalog.CreateEntryRequest(),
-            parent='parent_value',
-            entry=catalog.Entry(name='name_value'),
-            entry_id='entry_id_value',
-        )
-
-@pytest.mark.asyncio
-async def test_create_entry_flattened_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_entry),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = catalog.Entry()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.Entry())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.create_entry(
-            parent='parent_value',
-            entry=catalog.Entry(name='name_value'),
-            entry_id='entry_id_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-        arg = args[0].entry
-        mock_val = catalog.Entry(name='name_value')
-        assert arg == mock_val
-        arg = args[0].entry_id
-        mock_val = 'entry_id_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_create_entry_flattened_error_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.create_entry(
-            catalog.CreateEntryRequest(),
-            parent='parent_value',
-            entry=catalog.Entry(name='name_value'),
-            entry_id='entry_id_value',
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  catalog.UpdateEntryRequest,
-  dict,
-])
-def test_update_entry(request_type, transport: str = 'grpc'):
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_entry),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = catalog.Entry(
-            name='name_value',
-            entry_type='entry_type_value',
-            parent_entry='parent_entry_value',
-            fully_qualified_name='fully_qualified_name_value',
-        )
-        response = client.update_entry(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = catalog.UpdateEntryRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, catalog.Entry)
-    assert response.name == 'name_value'
-    assert response.entry_type == 'entry_type_value'
-    assert response.parent_entry == 'parent_entry_value'
-    assert response.fully_qualified_name == 'fully_qualified_name_value'
-
-
-def test_update_entry_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = catalog.UpdateEntryRequest(
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_entry),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.update_entry(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == catalog.UpdateEntryRequest(
-        )
-
-def test_update_entry_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = CatalogServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.update_entry in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.update_entry] = mock_rpc
-        request = {}
-        client.update_entry(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.update_entry(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_update_entry_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = CatalogServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.update_entry in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.update_entry] = mock_rpc
-
-        request = {}
-        await client.update_entry(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.update_entry(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_update_entry_async(transport: str = 'grpc_asyncio', request_type=catalog.UpdateEntryRequest):
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_entry),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(catalog.Entry(
-            name='name_value',
-            entry_type='entry_type_value',
-            parent_entry='parent_entry_value',
-            fully_qualified_name='fully_qualified_name_value',
-        ))
-        response = await client.update_entry(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = catalog.UpdateEntryRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, catalog.Entry)
-    assert response.name == 'name_value'
-    assert response.entry_type == 'entry_type_value'
-    assert response.parent_entry == 'parent_entry_value'
-    assert response.fully_qualified_name == 'fully_qualified_name_value'
-
-
-@pytest.mark.asyncio
-async def test_update_entry_async_from_dict():
-    await test_update_entry_async(request_type=dict)
-
-def test_update_entry_field_headers():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = catalog.UpdateEntryRequest()
-
-    request.entry.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_entry),
-            '__call__') as call:
-        call.return_value = catalog.Entry()
-        client.update_entry(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'entry.name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_update_entry_field_headers_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = catalog.UpdateEntryRequest()
-
-    request.entry.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_entry),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.Entry())
-        await client.update_entry(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'entry.name=name_value',
-    ) in kw['metadata']
-
-
-def test_update_entry_flattened():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_entry),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = catalog.Entry()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.update_entry(
-            entry=catalog.Entry(name='name_value'),
-            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].entry
-        mock_val = catalog.Entry(name='name_value')
-        assert arg == mock_val
-        arg = args[0].update_mask
-        mock_val = field_mask_pb2.FieldMask(paths=['paths_value'])
-        assert arg == mock_val
-
-
-def test_update_entry_flattened_error():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.update_entry(
-            catalog.UpdateEntryRequest(),
-            entry=catalog.Entry(name='name_value'),
-            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
-        )
-
-@pytest.mark.asyncio
-async def test_update_entry_flattened_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_entry),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = catalog.Entry()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.Entry())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.update_entry(
-            entry=catalog.Entry(name='name_value'),
-            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].entry
-        mock_val = catalog.Entry(name='name_value')
-        assert arg == mock_val
-        arg = args[0].update_mask
-        mock_val = field_mask_pb2.FieldMask(paths=['paths_value'])
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_update_entry_flattened_error_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.update_entry(
-            catalog.UpdateEntryRequest(),
-            entry=catalog.Entry(name='name_value'),
-            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  catalog.DeleteEntryRequest,
-  dict,
-])
-def test_delete_entry(request_type, transport: str = 'grpc'):
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_entry),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = catalog.Entry(
-            name='name_value',
-            entry_type='entry_type_value',
-            parent_entry='parent_entry_value',
-            fully_qualified_name='fully_qualified_name_value',
-        )
-        response = client.delete_entry(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = catalog.DeleteEntryRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, catalog.Entry)
-    assert response.name == 'name_value'
-    assert response.entry_type == 'entry_type_value'
-    assert response.parent_entry == 'parent_entry_value'
-    assert response.fully_qualified_name == 'fully_qualified_name_value'
-
-
-def test_delete_entry_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = catalog.DeleteEntryRequest(
-        name='name_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_entry),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.delete_entry(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == catalog.DeleteEntryRequest(
-            name='name_value',
-        )
-
-def test_delete_entry_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = CatalogServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.delete_entry in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.delete_entry] = mock_rpc
-        request = {}
-        client.delete_entry(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.delete_entry(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_delete_entry_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = CatalogServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.delete_entry in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.delete_entry] = mock_rpc
-
-        request = {}
-        await client.delete_entry(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.delete_entry(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_delete_entry_async(transport: str = 'grpc_asyncio', request_type=catalog.DeleteEntryRequest):
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_entry),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(catalog.Entry(
-            name='name_value',
-            entry_type='entry_type_value',
-            parent_entry='parent_entry_value',
-            fully_qualified_name='fully_qualified_name_value',
-        ))
-        response = await client.delete_entry(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = catalog.DeleteEntryRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, catalog.Entry)
-    assert response.name == 'name_value'
-    assert response.entry_type == 'entry_type_value'
-    assert response.parent_entry == 'parent_entry_value'
-    assert response.fully_qualified_name == 'fully_qualified_name_value'
-
-
-@pytest.mark.asyncio
-async def test_delete_entry_async_from_dict():
-    await test_delete_entry_async(request_type=dict)
-
-def test_delete_entry_field_headers():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = catalog.DeleteEntryRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_entry),
-            '__call__') as call:
-        call.return_value = catalog.Entry()
-        client.delete_entry(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_delete_entry_field_headers_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = catalog.DeleteEntryRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_entry),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.Entry())
-        await client.delete_entry(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-def test_delete_entry_flattened():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_entry),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = catalog.Entry()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.delete_entry(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-
-def test_delete_entry_flattened_error():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.delete_entry(
-            catalog.DeleteEntryRequest(),
-            name='name_value',
-        )
-
-@pytest.mark.asyncio
-async def test_delete_entry_flattened_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_entry),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = catalog.Entry()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.Entry())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.delete_entry(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_delete_entry_flattened_error_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.delete_entry(
-            catalog.DeleteEntryRequest(),
-            name='name_value',
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  catalog.ListEntriesRequest,
-  dict,
-])
-def test_list_entries(request_type, transport: str = 'grpc'):
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_entries),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = catalog.ListEntriesResponse(
-            next_page_token='next_page_token_value',
-        )
-        response = client.list_entries(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = catalog.ListEntriesRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListEntriesPager)
-    assert response.next_page_token == 'next_page_token_value'
-
-
-def test_list_entries_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = catalog.ListEntriesRequest(
-        parent='parent_value',
-        page_token='page_token_value',
-        filter='filter_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_entries),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.list_entries(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == catalog.ListEntriesRequest(
-            parent='parent_value',
-            page_token='page_token_value',
-            filter='filter_value',
-        )
-
-def test_list_entries_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = CatalogServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.list_entries in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.list_entries] = mock_rpc
-        request = {}
-        client.list_entries(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.list_entries(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_list_entries_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = CatalogServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.list_entries in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.list_entries] = mock_rpc
-
-        request = {}
-        await client.list_entries(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.list_entries(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_list_entries_async(transport: str = 'grpc_asyncio', request_type=catalog.ListEntriesRequest):
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_entries),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(catalog.ListEntriesResponse(
-            next_page_token='next_page_token_value',
-        ))
-        response = await client.list_entries(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = catalog.ListEntriesRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListEntriesAsyncPager)
-    assert response.next_page_token == 'next_page_token_value'
-
-
-@pytest.mark.asyncio
-async def test_list_entries_async_from_dict():
-    await test_list_entries_async(request_type=dict)
-
-def test_list_entries_field_headers():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = catalog.ListEntriesRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_entries),
-            '__call__') as call:
-        call.return_value = catalog.ListEntriesResponse()
-        client.list_entries(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_list_entries_field_headers_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = catalog.ListEntriesRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_entries),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.ListEntriesResponse())
-        await client.list_entries(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-def test_list_entries_flattened():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_entries),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = catalog.ListEntriesResponse()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.list_entries(
-            parent='parent_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-
-
-def test_list_entries_flattened_error():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.list_entries(
-            catalog.ListEntriesRequest(),
-            parent='parent_value',
-        )
-
-@pytest.mark.asyncio
-async def test_list_entries_flattened_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_entries),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = catalog.ListEntriesResponse()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.ListEntriesResponse())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.list_entries(
-            parent='parent_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_list_entries_flattened_error_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.list_entries(
-            catalog.ListEntriesRequest(),
-            parent='parent_value',
-        )
-
-
-def test_list_entries_pager(transport_name: str = "grpc"):
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_entries),
-            '__call__') as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            catalog.ListEntriesResponse(
-                entries=[
-                    catalog.Entry(),
-                    catalog.Entry(),
-                    catalog.Entry(),
-                ],
-                next_page_token='abc',
-            ),
-            catalog.ListEntriesResponse(
-                entries=[],
-                next_page_token='def',
-            ),
-            catalog.ListEntriesResponse(
-                entries=[
-                    catalog.Entry(),
-                ],
-                next_page_token='ghi',
-            ),
-            catalog.ListEntriesResponse(
-                entries=[
-                    catalog.Entry(),
-                    catalog.Entry(),
-                ],
-            ),
-            RuntimeError,
-        )
-
-        expected_metadata = ()
-        retry = retries.Retry()
-        timeout = 5
-        expected_metadata = tuple(expected_metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ('parent', ''),
-            )),
-        )
-        pager = client.list_entries(request={}, retry=retry, timeout=timeout)
-
-        assert pager._metadata == expected_metadata
-        assert pager._retry == retry
-        assert pager._timeout == timeout
-
-        results = list(pager)
-        assert len(results) == 6
-        assert all(isinstance(i, catalog.Entry)
-                   for i in results)
-def test_list_entries_pages(transport_name: str = "grpc"):
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_entries),
-            '__call__') as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            catalog.ListEntriesResponse(
-                entries=[
-                    catalog.Entry(),
-                    catalog.Entry(),
-                    catalog.Entry(),
-                ],
-                next_page_token='abc',
-            ),
-            catalog.ListEntriesResponse(
-                entries=[],
-                next_page_token='def',
-            ),
-            catalog.ListEntriesResponse(
-                entries=[
-                    catalog.Entry(),
-                ],
-                next_page_token='ghi',
-            ),
-            catalog.ListEntriesResponse(
-                entries=[
-                    catalog.Entry(),
-                    catalog.Entry(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = list(client.list_entries(request={}).pages)
-        for page_, token in zip(pages, ['abc','def','ghi', '']):
-            assert page_.raw_page.next_page_token == token
-
-@pytest.mark.asyncio
-async def test_list_entries_async_pager():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_entries),
-            '__call__', new_callable=mock.AsyncMock) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            catalog.ListEntriesResponse(
-                entries=[
-                    catalog.Entry(),
-                    catalog.Entry(),
-                    catalog.Entry(),
-                ],
-                next_page_token='abc',
-            ),
-            catalog.ListEntriesResponse(
-                entries=[],
-                next_page_token='def',
-            ),
-            catalog.ListEntriesResponse(
-                entries=[
-                    catalog.Entry(),
-                ],
-                next_page_token='ghi',
-            ),
-            catalog.ListEntriesResponse(
-                entries=[
-                    catalog.Entry(),
-                    catalog.Entry(),
-                ],
-            ),
-            RuntimeError,
-        )
-        async_pager = await client.list_entries(request={},)
-        assert async_pager.next_page_token == 'abc'
-        responses = []
-        async for response in async_pager: # pragma: no branch
-            responses.append(response)
-
-        assert len(responses) == 6
-        assert all(isinstance(i, catalog.Entry)
-                for i in responses)
-
-
-@pytest.mark.asyncio
-async def test_list_entries_async_pages():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_entries),
-            '__call__', new_callable=mock.AsyncMock) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            catalog.ListEntriesResponse(
-                entries=[
-                    catalog.Entry(),
-                    catalog.Entry(),
-                    catalog.Entry(),
-                ],
-                next_page_token='abc',
-            ),
-            catalog.ListEntriesResponse(
-                entries=[],
-                next_page_token='def',
-            ),
-            catalog.ListEntriesResponse(
-                entries=[
-                    catalog.Entry(),
-                ],
-                next_page_token='ghi',
-            ),
-            catalog.ListEntriesResponse(
-                entries=[
-                    catalog.Entry(),
-                    catalog.Entry(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = []
-        # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch`
-        # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372
-        async for page_ in ( # pragma: no branch
-            await client.list_entries(request={})
-        ).pages:
-            pages.append(page_)
-        for page_, token in zip(pages, ['abc','def','ghi', '']):
-            assert page_.raw_page.next_page_token == token
-
-@pytest.mark.parametrize("request_type", [
-  catalog.GetEntryRequest,
-  dict,
-])
-def test_get_entry(request_type, transport: str = 'grpc'):
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_entry),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = catalog.Entry(
-            name='name_value',
-            entry_type='entry_type_value',
-            parent_entry='parent_entry_value',
-            fully_qualified_name='fully_qualified_name_value',
-        )
-        response = client.get_entry(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = catalog.GetEntryRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, catalog.Entry)
-    assert response.name == 'name_value'
-    assert response.entry_type == 'entry_type_value'
-    assert response.parent_entry == 'parent_entry_value'
-    assert response.fully_qualified_name == 'fully_qualified_name_value'
-
-
-def test_get_entry_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = catalog.GetEntryRequest(
-        name='name_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_entry),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.get_entry(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == catalog.GetEntryRequest(
-            name='name_value',
-        )
-
-def test_get_entry_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = CatalogServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.get_entry in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.get_entry] = mock_rpc
-        request = {}
-        client.get_entry(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.get_entry(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_get_entry_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = CatalogServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.get_entry in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.get_entry] = mock_rpc
-
-        request = {}
-        await client.get_entry(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.get_entry(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_get_entry_async(transport: str = 'grpc_asyncio', request_type=catalog.GetEntryRequest):
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_entry),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(catalog.Entry(
-            name='name_value',
-            entry_type='entry_type_value',
-            parent_entry='parent_entry_value',
-            fully_qualified_name='fully_qualified_name_value',
-        ))
-        response = await client.get_entry(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = catalog.GetEntryRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, catalog.Entry)
-    assert response.name == 'name_value'
-    assert response.entry_type == 'entry_type_value'
-    assert response.parent_entry == 'parent_entry_value'
-    assert response.fully_qualified_name == 'fully_qualified_name_value'
-
-
-@pytest.mark.asyncio
-async def test_get_entry_async_from_dict():
-    await test_get_entry_async(request_type=dict)
-
-def test_get_entry_field_headers():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = catalog.GetEntryRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_entry),
-            '__call__') as call:
-        call.return_value = catalog.Entry()
-        client.get_entry(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_get_entry_field_headers_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = catalog.GetEntryRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_entry),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.Entry())
-        await client.get_entry(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-def test_get_entry_flattened():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_entry),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = catalog.Entry()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.get_entry(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-
-def test_get_entry_flattened_error():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.get_entry(
-            catalog.GetEntryRequest(),
-            name='name_value',
-        )
-
-@pytest.mark.asyncio
-async def test_get_entry_flattened_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_entry),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = catalog.Entry()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.Entry())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.get_entry(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_get_entry_flattened_error_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.get_entry(
-            catalog.GetEntryRequest(),
-            name='name_value',
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  catalog.LookupEntryRequest,
-  dict,
-])
-def test_lookup_entry(request_type, transport: str = 'grpc'):
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.lookup_entry),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = catalog.Entry(
-            name='name_value',
-            entry_type='entry_type_value',
-            parent_entry='parent_entry_value',
-            fully_qualified_name='fully_qualified_name_value',
-        )
-        response = client.lookup_entry(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = catalog.LookupEntryRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, catalog.Entry)
-    assert response.name == 'name_value'
-    assert response.entry_type == 'entry_type_value'
-    assert response.parent_entry == 'parent_entry_value'
-    assert response.fully_qualified_name == 'fully_qualified_name_value'
-
-
-def test_lookup_entry_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = catalog.LookupEntryRequest(
-        name='name_value',
-        entry='entry_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.lookup_entry),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.lookup_entry(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == catalog.LookupEntryRequest(
-            name='name_value',
-            entry='entry_value',
-        )
-
-def test_lookup_entry_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = CatalogServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.lookup_entry in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.lookup_entry] = mock_rpc
-        request = {}
-        client.lookup_entry(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.lookup_entry(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_lookup_entry_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = CatalogServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.lookup_entry in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.lookup_entry] = mock_rpc
-
-        request = {}
-        await client.lookup_entry(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.lookup_entry(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_lookup_entry_async(transport: str = 'grpc_asyncio', request_type=catalog.LookupEntryRequest):
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.lookup_entry),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(catalog.Entry(
-            name='name_value',
-            entry_type='entry_type_value',
-            parent_entry='parent_entry_value',
-            fully_qualified_name='fully_qualified_name_value',
-        ))
-        response = await client.lookup_entry(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = catalog.LookupEntryRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, catalog.Entry)
-    assert response.name == 'name_value'
-    assert response.entry_type == 'entry_type_value'
-    assert response.parent_entry == 'parent_entry_value'
-    assert response.fully_qualified_name == 'fully_qualified_name_value'
-
-
-@pytest.mark.asyncio
-async def test_lookup_entry_async_from_dict():
-    await test_lookup_entry_async(request_type=dict)
-
-def test_lookup_entry_field_headers():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = catalog.LookupEntryRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.lookup_entry),
-            '__call__') as call:
-        call.return_value = catalog.Entry()
-        client.lookup_entry(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_lookup_entry_field_headers_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = catalog.LookupEntryRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.lookup_entry),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.Entry())
-        await client.lookup_entry(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.parametrize("request_type", [
-  catalog.SearchEntriesRequest,
-  dict,
-])
-def test_search_entries(request_type, transport: str = 'grpc'):
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.search_entries),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = catalog.SearchEntriesResponse(
-            total_size=1086,
-            next_page_token='next_page_token_value',
-            unreachable=['unreachable_value'],
-        )
-        response = client.search_entries(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = catalog.SearchEntriesRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.SearchEntriesPager)
-    assert response.total_size == 1086
-    assert response.next_page_token == 'next_page_token_value'
-    assert response.unreachable == ['unreachable_value']
-
-
-def test_search_entries_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = catalog.SearchEntriesRequest(
-        name='name_value',
-        query='query_value',
-        page_token='page_token_value',
-        order_by='order_by_value',
-        scope='scope_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.search_entries),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.search_entries(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == catalog.SearchEntriesRequest(
-            name='name_value',
-            query='query_value',
-            page_token='page_token_value',
-            order_by='order_by_value',
-            scope='scope_value',
-        )
-
-def test_search_entries_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = CatalogServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.search_entries in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.search_entries] = mock_rpc
-        request = {}
-        client.search_entries(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.search_entries(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_search_entries_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = CatalogServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.search_entries in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.search_entries] = mock_rpc
-
-        request = {}
-        await client.search_entries(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.search_entries(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_search_entries_async(transport: str = 'grpc_asyncio', request_type=catalog.SearchEntriesRequest):
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.search_entries),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(catalog.SearchEntriesResponse(
-            total_size=1086,
-            next_page_token='next_page_token_value',
-            unreachable=['unreachable_value'],
-        ))
-        response = await client.search_entries(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = catalog.SearchEntriesRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.SearchEntriesAsyncPager)
-    assert response.total_size == 1086
-    assert response.next_page_token == 'next_page_token_value'
-    assert response.unreachable == ['unreachable_value']
-
-
-@pytest.mark.asyncio
-async def test_search_entries_async_from_dict():
-    await test_search_entries_async(request_type=dict)
-
-def test_search_entries_field_headers():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = catalog.SearchEntriesRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.search_entries),
-            '__call__') as call:
-        call.return_value = catalog.SearchEntriesResponse()
-        client.search_entries(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_search_entries_field_headers_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = catalog.SearchEntriesRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.search_entries),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.SearchEntriesResponse())
-        await client.search_entries(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-def test_search_entries_flattened():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.search_entries),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = catalog.SearchEntriesResponse()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.search_entries(
-            name='name_value',
-            query='query_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-        arg = args[0].query
-        mock_val = 'query_value'
-        assert arg == mock_val
-
-
-def test_search_entries_flattened_error():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.search_entries(
-            catalog.SearchEntriesRequest(),
-            name='name_value',
-            query='query_value',
-        )
-
-@pytest.mark.asyncio
-async def test_search_entries_flattened_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.search_entries),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = catalog.SearchEntriesResponse()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.SearchEntriesResponse())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.search_entries(
-            name='name_value',
-            query='query_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-        arg = args[0].query
-        mock_val = 'query_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_search_entries_flattened_error_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.search_entries(
-            catalog.SearchEntriesRequest(),
-            name='name_value',
-            query='query_value',
-        )
-
-
-def test_search_entries_pager(transport_name: str = "grpc"):
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.search_entries),
-            '__call__') as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            catalog.SearchEntriesResponse(
-                results=[
-                    catalog.SearchEntriesResult(),
-                    catalog.SearchEntriesResult(),
-                    catalog.SearchEntriesResult(),
-                ],
-                next_page_token='abc',
-            ),
-            catalog.SearchEntriesResponse(
-                results=[],
-                next_page_token='def',
-            ),
-            catalog.SearchEntriesResponse(
-                results=[
-                    catalog.SearchEntriesResult(),
-                ],
-                next_page_token='ghi',
-            ),
-            catalog.SearchEntriesResponse(
-                results=[
-                    catalog.SearchEntriesResult(),
-                    catalog.SearchEntriesResult(),
-                ],
-            ),
-            RuntimeError,
-        )
-
-        expected_metadata = ()
-        retry = retries.Retry()
-        timeout = 5
-        expected_metadata = tuple(expected_metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ('name', ''),
-            )),
-        )
-        pager = client.search_entries(request={}, retry=retry, timeout=timeout)
-
-        assert pager._metadata == expected_metadata
-        assert pager._retry == retry
-        assert pager._timeout == timeout
-
-        results = list(pager)
-        assert len(results) == 6
-        assert all(isinstance(i, catalog.SearchEntriesResult)
-                   for i in results)
-def test_search_entries_pages(transport_name: str = "grpc"):
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.search_entries),
-            '__call__') as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            catalog.SearchEntriesResponse(
-                results=[
-                    catalog.SearchEntriesResult(),
-                    catalog.SearchEntriesResult(),
-                    catalog.SearchEntriesResult(),
-                ],
-                next_page_token='abc',
-            ),
-            catalog.SearchEntriesResponse(
-                results=[],
-                next_page_token='def',
-            ),
-            catalog.SearchEntriesResponse(
-                results=[
-                    catalog.SearchEntriesResult(),
-                ],
-                next_page_token='ghi',
-            ),
-            catalog.SearchEntriesResponse(
-                results=[
-                    catalog.SearchEntriesResult(),
-                    catalog.SearchEntriesResult(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = list(client.search_entries(request={}).pages)
-        for page_, token in zip(pages, ['abc','def','ghi', '']):
-            assert page_.raw_page.next_page_token == token
-
-@pytest.mark.asyncio
-async def test_search_entries_async_pager():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.search_entries),
-            '__call__', new_callable=mock.AsyncMock) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            catalog.SearchEntriesResponse(
-                results=[
-                    catalog.SearchEntriesResult(),
-                    catalog.SearchEntriesResult(),
-                    catalog.SearchEntriesResult(),
-                ],
-                next_page_token='abc',
-            ),
-            catalog.SearchEntriesResponse(
-                results=[],
-                next_page_token='def',
-            ),
-            catalog.SearchEntriesResponse(
-                results=[
-                    catalog.SearchEntriesResult(),
-                ],
-                next_page_token='ghi',
-            ),
-            catalog.SearchEntriesResponse(
-                results=[
-                    catalog.SearchEntriesResult(),
-                    catalog.SearchEntriesResult(),
-                ],
-            ),
-            RuntimeError,
-        )
-        async_pager = await client.search_entries(request={},)
-        assert async_pager.next_page_token == 'abc'
-        responses = []
-        async for response in async_pager: # pragma: no branch
-            responses.append(response)
-
-        assert len(responses) == 6
-        assert all(isinstance(i, catalog.SearchEntriesResult)
-                for i in responses)
-
-
-@pytest.mark.asyncio
-async def test_search_entries_async_pages():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.search_entries),
-            '__call__', new_callable=mock.AsyncMock) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            catalog.SearchEntriesResponse(
-                results=[
-                    catalog.SearchEntriesResult(),
-                    catalog.SearchEntriesResult(),
-                    catalog.SearchEntriesResult(),
-                ],
-                next_page_token='abc',
-            ),
-            catalog.SearchEntriesResponse(
-                results=[],
-                next_page_token='def',
-            ),
-            catalog.SearchEntriesResponse(
-                results=[
-                    catalog.SearchEntriesResult(),
-                ],
-                next_page_token='ghi',
-            ),
-            catalog.SearchEntriesResponse(
-                results=[
-                    catalog.SearchEntriesResult(),
-                    catalog.SearchEntriesResult(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = []
-        # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch`
-        # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372
-        async for page_ in ( # pragma: no branch
-            await client.search_entries(request={})
-        ).pages:
-            pages.append(page_)
-        for page_, token in zip(pages, ['abc','def','ghi', '']):
-            assert page_.raw_page.next_page_token == token
-
-@pytest.mark.parametrize("request_type", [
-  catalog.CreateMetadataJobRequest,
-  dict,
-])
-def test_create_metadata_job(request_type, transport: str = 'grpc'):
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_metadata_job),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/spam')
-        response = client.create_metadata_job(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = catalog.CreateMetadataJobRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-def test_create_metadata_job_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = catalog.CreateMetadataJobRequest(
-        parent='parent_value',
-        metadata_job_id='metadata_job_id_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_metadata_job),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.create_metadata_job(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == catalog.CreateMetadataJobRequest(
-            parent='parent_value',
-            metadata_job_id='metadata_job_id_value',
-        )
-
-def test_create_metadata_job_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = CatalogServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.create_metadata_job in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.create_metadata_job] = mock_rpc
-        request = {}
-        client.create_metadata_job(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        client.create_metadata_job(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_create_metadata_job_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = CatalogServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.create_metadata_job in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.create_metadata_job] = mock_rpc
-
-        request = {}
-        await client.create_metadata_job(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        await client.create_metadata_job(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_create_metadata_job_async(transport: str = 'grpc_asyncio', request_type=catalog.CreateMetadataJobRequest):
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_metadata_job),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        response = await client.create_metadata_job(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = catalog.CreateMetadataJobRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-@pytest.mark.asyncio
-async def test_create_metadata_job_async_from_dict():
-    await test_create_metadata_job_async(request_type=dict)
-
-def test_create_metadata_job_field_headers():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = catalog.CreateMetadataJobRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_metadata_job),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.create_metadata_job(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_create_metadata_job_field_headers_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = catalog.CreateMetadataJobRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_metadata_job),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
-        await client.create_metadata_job(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-def test_create_metadata_job_flattened():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_metadata_job),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.create_metadata_job(
-            parent='parent_value',
-            metadata_job=catalog.MetadataJob(name='name_value'),
-            metadata_job_id='metadata_job_id_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-        arg = args[0].metadata_job
-        mock_val = catalog.MetadataJob(name='name_value')
-        assert arg == mock_val
-        arg = args[0].metadata_job_id
-        mock_val = 'metadata_job_id_value'
-        assert arg == mock_val
-
-
-def test_create_metadata_job_flattened_error():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.create_metadata_job(
-            catalog.CreateMetadataJobRequest(),
-            parent='parent_value',
-            metadata_job=catalog.MetadataJob(name='name_value'),
-            metadata_job_id='metadata_job_id_value',
-        )
-
-@pytest.mark.asyncio
-async def test_create_metadata_job_flattened_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_metadata_job),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.create_metadata_job(
-            parent='parent_value',
-            metadata_job=catalog.MetadataJob(name='name_value'),
-            metadata_job_id='metadata_job_id_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-        arg = args[0].metadata_job
-        mock_val = catalog.MetadataJob(name='name_value')
-        assert arg == mock_val
-        arg = args[0].metadata_job_id
-        mock_val = 'metadata_job_id_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_create_metadata_job_flattened_error_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.create_metadata_job(
-            catalog.CreateMetadataJobRequest(),
-            parent='parent_value',
-            metadata_job=catalog.MetadataJob(name='name_value'),
-            metadata_job_id='metadata_job_id_value',
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  catalog.GetMetadataJobRequest,
-  dict,
-])
-def test_get_metadata_job(request_type, transport: str = 'grpc'):
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_metadata_job),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = catalog.MetadataJob(
-            name='name_value',
-            uid='uid_value',
-            type_=catalog.MetadataJob.Type.IMPORT,
-        )
-        response = client.get_metadata_job(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = catalog.GetMetadataJobRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, catalog.MetadataJob)
-    assert response.name == 'name_value'
-    assert response.uid == 'uid_value'
-    assert response.type_ == catalog.MetadataJob.Type.IMPORT
-
-
-def test_get_metadata_job_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = catalog.GetMetadataJobRequest(
-        name='name_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_metadata_job),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.get_metadata_job(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == catalog.GetMetadataJobRequest(
-            name='name_value',
-        )
-
-def test_get_metadata_job_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = CatalogServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.get_metadata_job in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.get_metadata_job] = mock_rpc
-        request = {}
-        client.get_metadata_job(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.get_metadata_job(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_get_metadata_job_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = CatalogServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.get_metadata_job in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.get_metadata_job] = mock_rpc
-
-        request = {}
-        await client.get_metadata_job(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.get_metadata_job(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_get_metadata_job_async(transport: str = 'grpc_asyncio', request_type=catalog.GetMetadataJobRequest):
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_metadata_job),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(catalog.MetadataJob(
-            name='name_value',
-            uid='uid_value',
-            type_=catalog.MetadataJob.Type.IMPORT,
-        ))
-        response = await client.get_metadata_job(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = catalog.GetMetadataJobRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, catalog.MetadataJob)
-    assert response.name == 'name_value'
-    assert response.uid == 'uid_value'
-    assert response.type_ == catalog.MetadataJob.Type.IMPORT
-
-
-@pytest.mark.asyncio
-async def test_get_metadata_job_async_from_dict():
-    await test_get_metadata_job_async(request_type=dict)
-
-def test_get_metadata_job_field_headers():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = catalog.GetMetadataJobRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_metadata_job),
-            '__call__') as call:
-        call.return_value = catalog.MetadataJob()
-        client.get_metadata_job(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_get_metadata_job_field_headers_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = catalog.GetMetadataJobRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_metadata_job),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.MetadataJob())
-        await client.get_metadata_job(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-def test_get_metadata_job_flattened():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_metadata_job),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = catalog.MetadataJob()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.get_metadata_job(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-
-def test_get_metadata_job_flattened_error():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.get_metadata_job(
-            catalog.GetMetadataJobRequest(),
-            name='name_value',
-        )
-
-@pytest.mark.asyncio
-async def test_get_metadata_job_flattened_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_metadata_job),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = catalog.MetadataJob()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.MetadataJob())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.get_metadata_job(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_get_metadata_job_flattened_error_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.get_metadata_job(
-            catalog.GetMetadataJobRequest(),
-            name='name_value',
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  catalog.ListMetadataJobsRequest,
-  dict,
-])
-def test_list_metadata_jobs(request_type, transport: str = 'grpc'):
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_metadata_jobs),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = catalog.ListMetadataJobsResponse(
-            next_page_token='next_page_token_value',
-            unreachable_locations=['unreachable_locations_value'],
-        )
-        response = client.list_metadata_jobs(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = catalog.ListMetadataJobsRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListMetadataJobsPager)
-    assert response.next_page_token == 'next_page_token_value'
-    assert response.unreachable_locations == ['unreachable_locations_value']
-
-
-def test_list_metadata_jobs_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = catalog.ListMetadataJobsRequest(
-        parent='parent_value',
-        page_token='page_token_value',
-        filter='filter_value',
-        order_by='order_by_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_metadata_jobs),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.list_metadata_jobs(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == catalog.ListMetadataJobsRequest(
-            parent='parent_value',
-            page_token='page_token_value',
-            filter='filter_value',
-            order_by='order_by_value',
-        )
-
-def test_list_metadata_jobs_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = CatalogServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.list_metadata_jobs in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.list_metadata_jobs] = mock_rpc
-        request = {}
-        client.list_metadata_jobs(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.list_metadata_jobs(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_list_metadata_jobs_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = CatalogServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.list_metadata_jobs in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.list_metadata_jobs] = mock_rpc
-
-        request = {}
-        await client.list_metadata_jobs(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.list_metadata_jobs(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_list_metadata_jobs_async(transport: str = 'grpc_asyncio', request_type=catalog.ListMetadataJobsRequest):
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_metadata_jobs),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(catalog.ListMetadataJobsResponse(
-            next_page_token='next_page_token_value',
-            unreachable_locations=['unreachable_locations_value'],
-        ))
-        response = await client.list_metadata_jobs(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = catalog.ListMetadataJobsRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListMetadataJobsAsyncPager)
-    assert response.next_page_token == 'next_page_token_value'
-    assert response.unreachable_locations == ['unreachable_locations_value']
-
-
-@pytest.mark.asyncio
-async def test_list_metadata_jobs_async_from_dict():
-    await test_list_metadata_jobs_async(request_type=dict)
-
-def test_list_metadata_jobs_field_headers():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = catalog.ListMetadataJobsRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_metadata_jobs),
-            '__call__') as call:
-        call.return_value = catalog.ListMetadataJobsResponse()
-        client.list_metadata_jobs(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_list_metadata_jobs_field_headers_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = catalog.ListMetadataJobsRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_metadata_jobs),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.ListMetadataJobsResponse())
-        await client.list_metadata_jobs(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-def test_list_metadata_jobs_flattened():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_metadata_jobs),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = catalog.ListMetadataJobsResponse()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.list_metadata_jobs(
-            parent='parent_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-
-
-def test_list_metadata_jobs_flattened_error():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.list_metadata_jobs(
-            catalog.ListMetadataJobsRequest(),
-            parent='parent_value',
-        )
-
-@pytest.mark.asyncio
-async def test_list_metadata_jobs_flattened_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_metadata_jobs),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = catalog.ListMetadataJobsResponse()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.ListMetadataJobsResponse())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.list_metadata_jobs(
-            parent='parent_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_list_metadata_jobs_flattened_error_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.list_metadata_jobs(
-            catalog.ListMetadataJobsRequest(),
-            parent='parent_value',
-        )
-
-
-def test_list_metadata_jobs_pager(transport_name: str = "grpc"):
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_metadata_jobs),
-            '__call__') as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            catalog.ListMetadataJobsResponse(
-                metadata_jobs=[
-                    catalog.MetadataJob(),
-                    catalog.MetadataJob(),
-                    catalog.MetadataJob(),
-                ],
-                next_page_token='abc',
-            ),
-            catalog.ListMetadataJobsResponse(
-                metadata_jobs=[],
-                next_page_token='def',
-            ),
-            catalog.ListMetadataJobsResponse(
-                metadata_jobs=[
-                    catalog.MetadataJob(),
-                ],
-                next_page_token='ghi',
-            ),
-            catalog.ListMetadataJobsResponse(
-                metadata_jobs=[
-                    catalog.MetadataJob(),
-                    catalog.MetadataJob(),
-                ],
-            ),
-            RuntimeError,
-        )
-
-        expected_metadata = ()
-        retry = retries.Retry()
-        timeout = 5
-        expected_metadata = tuple(expected_metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ('parent', ''),
-            )),
-        )
-        pager = client.list_metadata_jobs(request={}, retry=retry, timeout=timeout)
-
-        assert pager._metadata == expected_metadata
-        assert pager._retry == retry
-        assert pager._timeout == timeout
-
-        results = list(pager)
-        assert len(results) == 6
-        assert all(isinstance(i, catalog.MetadataJob)
-                   for i in results)
-def test_list_metadata_jobs_pages(transport_name: str = "grpc"):
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_metadata_jobs),
-            '__call__') as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            catalog.ListMetadataJobsResponse(
-                metadata_jobs=[
-                    catalog.MetadataJob(),
-                    catalog.MetadataJob(),
-                    catalog.MetadataJob(),
-                ],
-                next_page_token='abc',
-            ),
-            catalog.ListMetadataJobsResponse(
-                metadata_jobs=[],
-                next_page_token='def',
-            ),
-            catalog.ListMetadataJobsResponse(
-                metadata_jobs=[
-                    catalog.MetadataJob(),
-                ],
-                next_page_token='ghi',
-            ),
-            catalog.ListMetadataJobsResponse(
-                metadata_jobs=[
-                    catalog.MetadataJob(),
-                    catalog.MetadataJob(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = list(client.list_metadata_jobs(request={}).pages)
-        for page_, token in zip(pages, ['abc','def','ghi', '']):
-            assert page_.raw_page.next_page_token == token
-
-@pytest.mark.asyncio
-async def test_list_metadata_jobs_async_pager():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_metadata_jobs),
-            '__call__', new_callable=mock.AsyncMock) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            catalog.ListMetadataJobsResponse(
-                metadata_jobs=[
-                    catalog.MetadataJob(),
-                    catalog.MetadataJob(),
-                    catalog.MetadataJob(),
-                ],
-                next_page_token='abc',
-            ),
-            catalog.ListMetadataJobsResponse(
-                metadata_jobs=[],
-                next_page_token='def',
-            ),
-            catalog.ListMetadataJobsResponse(
-                metadata_jobs=[
-                    catalog.MetadataJob(),
-                ],
-                next_page_token='ghi',
-            ),
-            catalog.ListMetadataJobsResponse(
-                metadata_jobs=[
-                    catalog.MetadataJob(),
-                    catalog.MetadataJob(),
-                ],
-            ),
-            RuntimeError,
-        )
-        async_pager = await client.list_metadata_jobs(request={},)
-        assert async_pager.next_page_token == 'abc'
-        responses = []
-        async for response in async_pager: # pragma: no branch
-            responses.append(response)
-
-        assert len(responses) == 6
-        assert all(isinstance(i, catalog.MetadataJob)
-                for i in responses)
-
-
-@pytest.mark.asyncio
-async def test_list_metadata_jobs_async_pages():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_metadata_jobs),
-            '__call__', new_callable=mock.AsyncMock) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            catalog.ListMetadataJobsResponse(
-                metadata_jobs=[
-                    catalog.MetadataJob(),
-                    catalog.MetadataJob(),
-                    catalog.MetadataJob(),
-                ],
-                next_page_token='abc',
-            ),
-            catalog.ListMetadataJobsResponse(
-                metadata_jobs=[],
-                next_page_token='def',
-            ),
-            catalog.ListMetadataJobsResponse(
-                metadata_jobs=[
-                    catalog.MetadataJob(),
-                ],
-                next_page_token='ghi',
-            ),
-            catalog.ListMetadataJobsResponse(
-                metadata_jobs=[
-                    catalog.MetadataJob(),
-                    catalog.MetadataJob(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = []
-        # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch`
-        # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372
-        async for page_ in ( # pragma: no branch
-            await client.list_metadata_jobs(request={})
-        ).pages:
-            pages.append(page_)
-        for page_, token in zip(pages, ['abc','def','ghi', '']):
-            assert page_.raw_page.next_page_token == token
-
-@pytest.mark.parametrize("request_type", [
-  catalog.CancelMetadataJobRequest,
-  dict,
-])
-def test_cancel_metadata_job(request_type, transport: str = 'grpc'):
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.cancel_metadata_job),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = None
-        response = client.cancel_metadata_job(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = catalog.CancelMetadataJobRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert response is None
-
-
-def test_cancel_metadata_job_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = catalog.CancelMetadataJobRequest(
-        name='name_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.cancel_metadata_job),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.cancel_metadata_job(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == catalog.CancelMetadataJobRequest(
-            name='name_value',
-        )
-
-def test_cancel_metadata_job_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = CatalogServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.cancel_metadata_job in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.cancel_metadata_job] = mock_rpc
-        request = {}
-        client.cancel_metadata_job(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.cancel_metadata_job(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_cancel_metadata_job_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = CatalogServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.cancel_metadata_job in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.cancel_metadata_job] = mock_rpc
-
-        request = {}
-        await client.cancel_metadata_job(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.cancel_metadata_job(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_cancel_metadata_job_async(transport: str = 'grpc_asyncio', request_type=catalog.CancelMetadataJobRequest):
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.cancel_metadata_job),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
-        response = await client.cancel_metadata_job(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = catalog.CancelMetadataJobRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert response is None
-
-
-@pytest.mark.asyncio
-async def test_cancel_metadata_job_async_from_dict():
-    await test_cancel_metadata_job_async(request_type=dict)
-
-def test_cancel_metadata_job_field_headers():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = catalog.CancelMetadataJobRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.cancel_metadata_job),
-            '__call__') as call:
-        call.return_value = None
-        client.cancel_metadata_job(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_cancel_metadata_job_field_headers_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = catalog.CancelMetadataJobRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.cancel_metadata_job),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
-        await client.cancel_metadata_job(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-def test_cancel_metadata_job_flattened():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.cancel_metadata_job),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = None
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.cancel_metadata_job(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-
-def test_cancel_metadata_job_flattened_error():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.cancel_metadata_job(
-            catalog.CancelMetadataJobRequest(),
-            name='name_value',
-        )
-
-@pytest.mark.asyncio
-async def test_cancel_metadata_job_flattened_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.cancel_metadata_job),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = None
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.cancel_metadata_job(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_cancel_metadata_job_flattened_error_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.cancel_metadata_job(
-            catalog.CancelMetadataJobRequest(),
-            name='name_value',
-        )
-
-
-def test_credentials_transport_error():
-    # It is an error to provide credentials and a transport instance.
-    transport = transports.CatalogServiceGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    with pytest.raises(ValueError):
-        client = CatalogServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport=transport,
-        )
-
-    # It is an error to provide a credentials file and a transport instance.
-    transport = transports.CatalogServiceGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    with pytest.raises(ValueError):
-        client = CatalogServiceClient(
-            client_options={"credentials_file": "credentials.json"},
-            transport=transport,
-        )
-
-    # It is an error to provide an api_key and a transport instance.
-    transport = transports.CatalogServiceGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    options = client_options.ClientOptions()
-    options.api_key = "api_key"
-    with pytest.raises(ValueError):
-        client = CatalogServiceClient(
-            client_options=options,
-            transport=transport,
-        )
-
-    # It is an error to provide an api_key and a credential.
-    options = client_options.ClientOptions()
-    options.api_key = "api_key"
-    with pytest.raises(ValueError):
-        client = CatalogServiceClient(
-            client_options=options,
-            credentials=ga_credentials.AnonymousCredentials()
-        )
-
-    # It is an error to provide scopes and a transport instance.
-    transport = transports.CatalogServiceGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    with pytest.raises(ValueError):
-        client = CatalogServiceClient(
-            client_options={"scopes": ["1", "2"]},
-            transport=transport,
-        )
-
-
-def test_transport_instance():
-    # A client may be instantiated with a custom transport instance.
-    transport = transports.CatalogServiceGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    client = CatalogServiceClient(transport=transport)
-    assert client.transport is transport
-
-def test_transport_get_channel():
-    # A client may be instantiated with a custom transport instance.
-    transport = transports.CatalogServiceGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    channel = transport.grpc_channel
-    assert channel
-
-    transport = transports.CatalogServiceGrpcAsyncIOTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    channel = transport.grpc_channel
-    assert channel
-
-@pytest.mark.parametrize("transport_class", [
-    transports.CatalogServiceGrpcTransport,
-    transports.CatalogServiceGrpcAsyncIOTransport,
-])
-def test_transport_adc(transport_class):
-    # Test default credentials are used if not provided.
-    with mock.patch.object(google.auth, 'default') as adc:
-        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
-        transport_class()
-        adc.assert_called_once()
-
-def test_transport_kind_grpc():
-    transport = CatalogServiceClient.get_transport_class("grpc")(
-        credentials=ga_credentials.AnonymousCredentials()
-    )
-    assert transport.kind == "grpc"
-
-
-def test_initialize_client_w_grpc():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc"
-    )
-    assert client is not None
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_create_entry_type_empty_call_grpc():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_entry_type),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.create_entry_type(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = catalog.CreateEntryTypeRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_update_entry_type_empty_call_grpc():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_entry_type),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.update_entry_type(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = catalog.UpdateEntryTypeRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_delete_entry_type_empty_call_grpc():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_entry_type),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.delete_entry_type(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = catalog.DeleteEntryTypeRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_list_entry_types_empty_call_grpc():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_entry_types),
-            '__call__') as call:
-        call.return_value = catalog.ListEntryTypesResponse()
-        client.list_entry_types(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = catalog.ListEntryTypesRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_get_entry_type_empty_call_grpc():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_entry_type),
-            '__call__') as call:
-        call.return_value = catalog.EntryType()
-        client.get_entry_type(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = catalog.GetEntryTypeRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_create_aspect_type_empty_call_grpc():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_aspect_type),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.create_aspect_type(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = catalog.CreateAspectTypeRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_update_aspect_type_empty_call_grpc():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_aspect_type),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.update_aspect_type(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = catalog.UpdateAspectTypeRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_delete_aspect_type_empty_call_grpc():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_aspect_type),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.delete_aspect_type(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = catalog.DeleteAspectTypeRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_list_aspect_types_empty_call_grpc():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_aspect_types),
-            '__call__') as call:
-        call.return_value = catalog.ListAspectTypesResponse()
-        client.list_aspect_types(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = catalog.ListAspectTypesRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_get_aspect_type_empty_call_grpc():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_aspect_type),
-            '__call__') as call:
-        call.return_value = catalog.AspectType()
-        client.get_aspect_type(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = catalog.GetAspectTypeRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_create_entry_group_empty_call_grpc():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_entry_group),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.create_entry_group(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = catalog.CreateEntryGroupRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_update_entry_group_empty_call_grpc():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_entry_group),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.update_entry_group(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = catalog.UpdateEntryGroupRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_delete_entry_group_empty_call_grpc():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_entry_group),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.delete_entry_group(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = catalog.DeleteEntryGroupRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_list_entry_groups_empty_call_grpc():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_entry_groups),
-            '__call__') as call:
-        call.return_value = catalog.ListEntryGroupsResponse()
-        client.list_entry_groups(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = catalog.ListEntryGroupsRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_get_entry_group_empty_call_grpc():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_entry_group),
-            '__call__') as call:
-        call.return_value = catalog.EntryGroup()
-        client.get_entry_group(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = catalog.GetEntryGroupRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_create_entry_empty_call_grpc():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_entry),
-            '__call__') as call:
-        call.return_value = catalog.Entry()
-        client.create_entry(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = catalog.CreateEntryRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_update_entry_empty_call_grpc():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_entry),
-            '__call__') as call:
-        call.return_value = catalog.Entry()
-        client.update_entry(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = catalog.UpdateEntryRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_delete_entry_empty_call_grpc():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_entry),
-            '__call__') as call:
-        call.return_value = catalog.Entry()
-        client.delete_entry(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = catalog.DeleteEntryRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_list_entries_empty_call_grpc():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_entries),
-            '__call__') as call:
-        call.return_value = catalog.ListEntriesResponse()
-        client.list_entries(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = catalog.ListEntriesRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_get_entry_empty_call_grpc():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_entry),
-            '__call__') as call:
-        call.return_value = catalog.Entry()
-        client.get_entry(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = catalog.GetEntryRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_lookup_entry_empty_call_grpc():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.lookup_entry),
-            '__call__') as call:
-        call.return_value = catalog.Entry()
-        client.lookup_entry(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = catalog.LookupEntryRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_search_entries_empty_call_grpc():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.search_entries),
-            '__call__') as call:
-        call.return_value = catalog.SearchEntriesResponse()
-        client.search_entries(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = catalog.SearchEntriesRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_create_metadata_job_empty_call_grpc():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_metadata_job),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.create_metadata_job(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = catalog.CreateMetadataJobRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_get_metadata_job_empty_call_grpc():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_metadata_job),
-            '__call__') as call:
-        call.return_value = catalog.MetadataJob()
-        client.get_metadata_job(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = catalog.GetMetadataJobRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_list_metadata_jobs_empty_call_grpc():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_metadata_jobs),
-            '__call__') as call:
-        call.return_value = catalog.ListMetadataJobsResponse()
-        client.list_metadata_jobs(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = catalog.ListMetadataJobsRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_cancel_metadata_job_empty_call_grpc():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.cancel_metadata_job),
-            '__call__') as call:
-        call.return_value = None
-        client.cancel_metadata_job(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = catalog.CancelMetadataJobRequest()
-
-        assert args[0] == request_msg
-
-
-def test_transport_kind_grpc_asyncio():
-    transport = CatalogServiceAsyncClient.get_transport_class("grpc_asyncio")(
-        credentials=async_anonymous_credentials()
-    )
-    assert transport.kind == "grpc_asyncio"
-
-
-def test_initialize_client_w_grpc_asyncio():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio"
-    )
-    assert client is not None
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_create_entry_type_empty_call_grpc_asyncio():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_entry_type),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        await client.create_entry_type(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = catalog.CreateEntryTypeRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_update_entry_type_empty_call_grpc_asyncio():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_entry_type),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        await client.update_entry_type(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = catalog.UpdateEntryTypeRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_delete_entry_type_empty_call_grpc_asyncio():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_entry_type),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        await client.delete_entry_type(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = catalog.DeleteEntryTypeRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_list_entry_types_empty_call_grpc_asyncio():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_entry_types),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.ListEntryTypesResponse(
-            next_page_token='next_page_token_value',
-            unreachable_locations=['unreachable_locations_value'],
-        ))
-        await client.list_entry_types(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = catalog.ListEntryTypesRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_get_entry_type_empty_call_grpc_asyncio():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_entry_type),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.EntryType(
-            name='name_value',
-            uid='uid_value',
-            description='description_value',
-            display_name='display_name_value',
-            etag='etag_value',
-            type_aliases=['type_aliases_value'],
-            platform='platform_value',
-            system='system_value',
-        ))
-        await client.get_entry_type(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = catalog.GetEntryTypeRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_create_aspect_type_empty_call_grpc_asyncio():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_aspect_type),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        await client.create_aspect_type(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = catalog.CreateAspectTypeRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_update_aspect_type_empty_call_grpc_asyncio():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_aspect_type),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        await client.update_aspect_type(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = catalog.UpdateAspectTypeRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_delete_aspect_type_empty_call_grpc_asyncio():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_aspect_type),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        await client.delete_aspect_type(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = catalog.DeleteAspectTypeRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_list_aspect_types_empty_call_grpc_asyncio():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_aspect_types),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.ListAspectTypesResponse(
-            next_page_token='next_page_token_value',
-            unreachable_locations=['unreachable_locations_value'],
-        ))
-        await client.list_aspect_types(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = catalog.ListAspectTypesRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_get_aspect_type_empty_call_grpc_asyncio():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_aspect_type),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.AspectType(
-            name='name_value',
-            uid='uid_value',
-            description='description_value',
-            display_name='display_name_value',
-            etag='etag_value',
-            transfer_status=catalog.TransferStatus.TRANSFER_STATUS_MIGRATED,
-        ))
-        await client.get_aspect_type(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = catalog.GetAspectTypeRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_create_entry_group_empty_call_grpc_asyncio():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_entry_group),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        await client.create_entry_group(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = catalog.CreateEntryGroupRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_update_entry_group_empty_call_grpc_asyncio():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_entry_group),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        await client.update_entry_group(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = catalog.UpdateEntryGroupRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_delete_entry_group_empty_call_grpc_asyncio():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_entry_group),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        await client.delete_entry_group(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = catalog.DeleteEntryGroupRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_list_entry_groups_empty_call_grpc_asyncio():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_entry_groups),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.ListEntryGroupsResponse(
-            next_page_token='next_page_token_value',
-            unreachable_locations=['unreachable_locations_value'],
-        ))
-        await client.list_entry_groups(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = catalog.ListEntryGroupsRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_get_entry_group_empty_call_grpc_asyncio():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_entry_group),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.EntryGroup(
-            name='name_value',
-            uid='uid_value',
-            description='description_value',
-            display_name='display_name_value',
-            etag='etag_value',
-            transfer_status=catalog.TransferStatus.TRANSFER_STATUS_MIGRATED,
-        ))
-        await client.get_entry_group(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = catalog.GetEntryGroupRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_create_entry_empty_call_grpc_asyncio():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_entry),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.Entry(
-            name='name_value',
-            entry_type='entry_type_value',
-            parent_entry='parent_entry_value',
-            fully_qualified_name='fully_qualified_name_value',
-        ))
-        await client.create_entry(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = catalog.CreateEntryRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_update_entry_empty_call_grpc_asyncio():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_entry),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.Entry(
-            name='name_value',
-            entry_type='entry_type_value',
-            parent_entry='parent_entry_value',
-            fully_qualified_name='fully_qualified_name_value',
-        ))
-        await client.update_entry(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = catalog.UpdateEntryRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_delete_entry_empty_call_grpc_asyncio():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_entry),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.Entry(
-            name='name_value',
-            entry_type='entry_type_value',
-            parent_entry='parent_entry_value',
-            fully_qualified_name='fully_qualified_name_value',
-        ))
-        await client.delete_entry(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = catalog.DeleteEntryRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_list_entries_empty_call_grpc_asyncio():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_entries),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.ListEntriesResponse(
-            next_page_token='next_page_token_value',
-        ))
-        await client.list_entries(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = catalog.ListEntriesRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_get_entry_empty_call_grpc_asyncio():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_entry),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.Entry(
-            name='name_value',
-            entry_type='entry_type_value',
-            parent_entry='parent_entry_value',
-            fully_qualified_name='fully_qualified_name_value',
-        ))
-        await client.get_entry(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = catalog.GetEntryRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_lookup_entry_empty_call_grpc_asyncio():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.lookup_entry),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.Entry(
-            name='name_value',
-            entry_type='entry_type_value',
-            parent_entry='parent_entry_value',
-            fully_qualified_name='fully_qualified_name_value',
-        ))
-        await client.lookup_entry(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = catalog.LookupEntryRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_search_entries_empty_call_grpc_asyncio():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.search_entries),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.SearchEntriesResponse(
-            total_size=1086,
-            next_page_token='next_page_token_value',
-            unreachable=['unreachable_value'],
-        ))
-        await client.search_entries(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = catalog.SearchEntriesRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_create_metadata_job_empty_call_grpc_asyncio():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_metadata_job),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        await client.create_metadata_job(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = catalog.CreateMetadataJobRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_get_metadata_job_empty_call_grpc_asyncio():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_metadata_job),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.MetadataJob(
-            name='name_value',
-            uid='uid_value',
-            type_=catalog.MetadataJob.Type.IMPORT,
-        ))
-        await client.get_metadata_job(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = catalog.GetMetadataJobRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_list_metadata_jobs_empty_call_grpc_asyncio():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_metadata_jobs),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.ListMetadataJobsResponse(
-            next_page_token='next_page_token_value',
-            unreachable_locations=['unreachable_locations_value'],
-        ))
-        await client.list_metadata_jobs(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = catalog.ListMetadataJobsRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_cancel_metadata_job_empty_call_grpc_asyncio():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.cancel_metadata_job),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
-        await client.cancel_metadata_job(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = catalog.CancelMetadataJobRequest()
-
-        assert args[0] == request_msg
-
-
-def test_transport_grpc_default():
-    # A client should use the gRPC transport by default.
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    assert isinstance(
-        client.transport,
-        transports.CatalogServiceGrpcTransport,
-    )
-
-def test_catalog_service_base_transport_error():
-    # Passing both a credentials object and credentials_file should raise an error
-    with pytest.raises(core_exceptions.DuplicateCredentialArgs):
-        transport = transports.CatalogServiceTransport(
-            credentials=ga_credentials.AnonymousCredentials(),
-            credentials_file="credentials.json"
-        )
-
-
-def test_catalog_service_base_transport():
-    # Instantiate the base transport.
-    with mock.patch('google.cloud.dataplex_v1.services.catalog_service.transports.CatalogServiceTransport.__init__') as Transport:
-        Transport.return_value = None
-        transport = transports.CatalogServiceTransport(
-            credentials=ga_credentials.AnonymousCredentials(),
-        )
-
-    # Every method on the transport should just blindly
-    # raise NotImplementedError.
-    methods = (
-        'create_entry_type',
-        'update_entry_type',
-        'delete_entry_type',
-        'list_entry_types',
-        'get_entry_type',
-        'create_aspect_type',
-        'update_aspect_type',
-        'delete_aspect_type',
-        'list_aspect_types',
-        'get_aspect_type',
-        'create_entry_group',
-        'update_entry_group',
-        'delete_entry_group',
-        'list_entry_groups',
-        'get_entry_group',
-        'create_entry',
-        'update_entry',
-        'delete_entry',
-        'list_entries',
-        'get_entry',
-        'lookup_entry',
-        'search_entries',
-        'create_metadata_job',
-        'get_metadata_job',
-        'list_metadata_jobs',
-        'cancel_metadata_job',
-        'get_location',
-        'list_locations',
-        'get_operation',
-        'cancel_operation',
-        'delete_operation',
-        'list_operations',
-    )
-    for method in methods:
-        with pytest.raises(NotImplementedError):
-            getattr(transport, method)(request=object())
-
-    with pytest.raises(NotImplementedError):
-        transport.close()
-
-    # Additionally, the LRO client (a property) should
-    # also raise NotImplementedError
-    with pytest.raises(NotImplementedError):
-        transport.operations_client
-
-    # Catch all for all remaining methods and properties
-    remainder = [
-        'kind',
-    ]
-    for r in remainder:
-        with pytest.raises(NotImplementedError):
-            getattr(transport, r)()
-
-
-def test_catalog_service_base_transport_with_credentials_file():
-    # Instantiate the base transport with a credentials file
-    with mock.patch.object(google.auth, 'load_credentials_from_file', autospec=True) as load_creds, mock.patch('google.cloud.dataplex_v1.services.catalog_service.transports.CatalogServiceTransport._prep_wrapped_messages') as Transport:
-        Transport.return_value = None
-        load_creds.return_value = (ga_credentials.AnonymousCredentials(), None)
-        transport = transports.CatalogServiceTransport(
-            credentials_file="credentials.json",
-            quota_project_id="octopus",
-        )
-        load_creds.assert_called_once_with("credentials.json",
-            scopes=None,
-            default_scopes=(
-            'https://www.googleapis.com/auth/cloud-platform',
-),
-            quota_project_id="octopus",
-        )
-
-
-def test_catalog_service_base_transport_with_adc():
-    # Test the default credentials are used if credentials and credentials_file are None.
-    with mock.patch.object(google.auth, 'default', autospec=True) as adc, mock.patch('google.cloud.dataplex_v1.services.catalog_service.transports.CatalogServiceTransport._prep_wrapped_messages') as Transport:
-        Transport.return_value = None
-        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
-        transport = transports.CatalogServiceTransport()
-        adc.assert_called_once()
-
-
-def test_catalog_service_auth_adc():
-    # If no credentials are provided, we should use ADC credentials.
-    with mock.patch.object(google.auth, 'default', autospec=True) as adc:
-        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
-        CatalogServiceClient()
-        adc.assert_called_once_with(
-            scopes=None,
-            default_scopes=(
-            'https://www.googleapis.com/auth/cloud-platform',
-),
-            quota_project_id=None,
-        )
-
-
-@pytest.mark.parametrize(
-    "transport_class",
-    [
-        transports.CatalogServiceGrpcTransport,
-        transports.CatalogServiceGrpcAsyncIOTransport,
-    ],
-)
-def test_catalog_service_transport_auth_adc(transport_class):
-    # If credentials and host are not provided, the transport class should use
-    # ADC credentials.
-    with mock.patch.object(google.auth, 'default', autospec=True) as adc:
-        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
-        transport_class(quota_project_id="octopus", scopes=["1", "2"])
-        adc.assert_called_once_with(
-            scopes=["1", "2"],
-            default_scopes=(                'https://www.googleapis.com/auth/cloud-platform',),
-            quota_project_id="octopus",
-        )
-
-
-@pytest.mark.parametrize(
-    "transport_class",
-    [
-        transports.CatalogServiceGrpcTransport,
-        transports.CatalogServiceGrpcAsyncIOTransport,
-    ],
-)
-def test_catalog_service_transport_auth_gdch_credentials(transport_class):
-    host = 'https://language.com'
-    api_audience_tests = [None, 'https://language2.com']
-    api_audience_expect = [host, 'https://language2.com']
-    for t, e in zip(api_audience_tests, api_audience_expect):
-        with mock.patch.object(google.auth, 'default', autospec=True) as adc:
-            gdch_mock = mock.MagicMock()
-            type(gdch_mock).with_gdch_audience = mock.PropertyMock(return_value=gdch_mock)
-            adc.return_value = (gdch_mock, None)
-            transport_class(host=host, api_audience=t)
-            gdch_mock.with_gdch_audience.assert_called_once_with(
-                e
-            )
-
-
-@pytest.mark.parametrize(
-    "transport_class,grpc_helpers",
-    [
-        (transports.CatalogServiceGrpcTransport, grpc_helpers),
-        (transports.CatalogServiceGrpcAsyncIOTransport, grpc_helpers_async)
-    ],
-)
-def test_catalog_service_transport_create_channel(transport_class, grpc_helpers):
-    # If credentials and host are not provided, the transport class should use
-    # ADC credentials.
-    with mock.patch.object(google.auth, "default", autospec=True) as adc, mock.patch.object(
-        grpc_helpers, "create_channel", autospec=True
-    ) as create_channel:
-        creds = ga_credentials.AnonymousCredentials()
-        adc.return_value = (creds, None)
-        transport_class(
-            quota_project_id="octopus",
-            scopes=["1", "2"]
-        )
-
-        create_channel.assert_called_with(
-            "dataplex.googleapis.com:443",
-            credentials=creds,
-            credentials_file=None,
-            quota_project_id="octopus",
-            default_scopes=(
-                'https://www.googleapis.com/auth/cloud-platform',
-),
-            scopes=["1", "2"],
-            default_host="dataplex.googleapis.com",
-            ssl_credentials=None,
-            options=[
-                ("grpc.max_send_message_length", -1),
-                ("grpc.max_receive_message_length", -1),
-            ],
-        )
-
-
-@pytest.mark.parametrize("transport_class", [transports.CatalogServiceGrpcTransport, transports.CatalogServiceGrpcAsyncIOTransport])
-def test_catalog_service_grpc_transport_client_cert_source_for_mtls(
-    transport_class
-):
-    cred = ga_credentials.AnonymousCredentials()
-
-    # Check ssl_channel_credentials is used if provided.
-    with mock.patch.object(transport_class, "create_channel") as mock_create_channel:
-        mock_ssl_channel_creds = mock.Mock()
-        transport_class(
-            host="squid.clam.whelk",
-            credentials=cred,
-            ssl_channel_credentials=mock_ssl_channel_creds
-        )
-        mock_create_channel.assert_called_once_with(
-            "squid.clam.whelk:443",
-            credentials=cred,
-            credentials_file=None,
-            scopes=None,
-            ssl_credentials=mock_ssl_channel_creds,
-            quota_project_id=None,
-            options=[
-                ("grpc.max_send_message_length", -1),
-                ("grpc.max_receive_message_length", -1),
-            ],
-        )
-
-    # Check if ssl_channel_credentials is not provided, then client_cert_source_for_mtls
-    # is used.
-    with mock.patch.object(transport_class, "create_channel", return_value=mock.Mock()):
-        with mock.patch("grpc.ssl_channel_credentials") as mock_ssl_cred:
-            transport_class(
-                credentials=cred,
-                client_cert_source_for_mtls=client_cert_source_callback
-            )
-            expected_cert, expected_key = client_cert_source_callback()
-            mock_ssl_cred.assert_called_once_with(
-                certificate_chain=expected_cert,
-                private_key=expected_key
-            )
-
-
-@pytest.mark.parametrize("transport_name", [
-    "grpc",
-    "grpc_asyncio",
-])
-def test_catalog_service_host_no_port(transport_name):
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        client_options=client_options.ClientOptions(api_endpoint='dataplex.googleapis.com'),
-         transport=transport_name,
-    )
-    assert client.transport._host == (
-        'dataplex.googleapis.com:443'
-    )
-
-@pytest.mark.parametrize("transport_name", [
-    "grpc",
-    "grpc_asyncio",
-])
-def test_catalog_service_host_with_port(transport_name):
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        client_options=client_options.ClientOptions(api_endpoint='dataplex.googleapis.com:8000'),
-        transport=transport_name,
-    )
-    assert client.transport._host == (
-        'dataplex.googleapis.com:8000'
-    )
-
-def test_catalog_service_grpc_transport_channel():
-    channel = grpc.secure_channel('http://localhost/', grpc.local_channel_credentials())
-
-    # Check that channel is used if provided.
-    transport = transports.CatalogServiceGrpcTransport(
-        host="squid.clam.whelk",
-        channel=channel,
-    )
-    assert transport.grpc_channel == channel
-    assert transport._host == "squid.clam.whelk:443"
-    assert transport._ssl_channel_credentials == None
-
-
-def test_catalog_service_grpc_asyncio_transport_channel():
-    channel = aio.secure_channel('http://localhost/', grpc.local_channel_credentials())
-
-    # Check that channel is used if provided.
-    transport = transports.CatalogServiceGrpcAsyncIOTransport(
-        host="squid.clam.whelk",
-        channel=channel,
-    )
-    assert transport.grpc_channel == channel
-    assert transport._host == "squid.clam.whelk:443"
-    assert transport._ssl_channel_credentials == None
-
-
-# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are
-# removed from grpc/grpc_asyncio transport constructor.
-@pytest.mark.parametrize("transport_class", [transports.CatalogServiceGrpcTransport, transports.CatalogServiceGrpcAsyncIOTransport])
-def test_catalog_service_transport_channel_mtls_with_client_cert_source(
-    transport_class
-):
-    with mock.patch("grpc.ssl_channel_credentials", autospec=True) as grpc_ssl_channel_cred:
-        with mock.patch.object(transport_class, "create_channel") as grpc_create_channel:
-            mock_ssl_cred = mock.Mock()
-            grpc_ssl_channel_cred.return_value = mock_ssl_cred
-
-            mock_grpc_channel = mock.Mock()
-            grpc_create_channel.return_value = mock_grpc_channel
-
-            cred = ga_credentials.AnonymousCredentials()
-            with pytest.warns(DeprecationWarning):
-                with mock.patch.object(google.auth, 'default') as adc:
-                    adc.return_value = (cred, None)
-                    transport = transport_class(
-                        host="squid.clam.whelk",
-                        api_mtls_endpoint="mtls.squid.clam.whelk",
-                        client_cert_source=client_cert_source_callback,
-                    )
-                    adc.assert_called_once()
-
-            grpc_ssl_channel_cred.assert_called_once_with(
-                certificate_chain=b"cert bytes", private_key=b"key bytes"
-            )
-            grpc_create_channel.assert_called_once_with(
-                "mtls.squid.clam.whelk:443",
-                credentials=cred,
-                credentials_file=None,
-                scopes=None,
-                ssl_credentials=mock_ssl_cred,
-                quota_project_id=None,
-                options=[
-                    ("grpc.max_send_message_length", -1),
-                    ("grpc.max_receive_message_length", -1),
-                ],
-            )
-            assert transport.grpc_channel == mock_grpc_channel
-            assert transport._ssl_channel_credentials == mock_ssl_cred
-
-
-# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are
-# removed from grpc/grpc_asyncio transport constructor.
-@pytest.mark.parametrize("transport_class", [transports.CatalogServiceGrpcTransport, transports.CatalogServiceGrpcAsyncIOTransport])
-def test_catalog_service_transport_channel_mtls_with_adc(
-    transport_class
-):
-    mock_ssl_cred = mock.Mock()
-    with mock.patch.multiple(
-        "google.auth.transport.grpc.SslCredentials",
-        __init__=mock.Mock(return_value=None),
-        ssl_credentials=mock.PropertyMock(return_value=mock_ssl_cred),
-    ):
-        with mock.patch.object(transport_class, "create_channel") as grpc_create_channel:
-            mock_grpc_channel = mock.Mock()
-            grpc_create_channel.return_value = mock_grpc_channel
-            mock_cred = mock.Mock()
-
-            with pytest.warns(DeprecationWarning):
-                transport = transport_class(
-                    host="squid.clam.whelk",
-                    credentials=mock_cred,
-                    api_mtls_endpoint="mtls.squid.clam.whelk",
-                    client_cert_source=None,
-                )
-
-            grpc_create_channel.assert_called_once_with(
-                "mtls.squid.clam.whelk:443",
-                credentials=mock_cred,
-                credentials_file=None,
-                scopes=None,
-                ssl_credentials=mock_ssl_cred,
-                quota_project_id=None,
-                options=[
-                    ("grpc.max_send_message_length", -1),
-                    ("grpc.max_receive_message_length", -1),
-                ],
-            )
-            assert transport.grpc_channel == mock_grpc_channel
-
-
-def test_catalog_service_grpc_lro_client():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-    transport = client.transport
-
-    # Ensure that we have a api-core operations client.
-    assert isinstance(
-        transport.operations_client,
-        operations_v1.OperationsClient,
-    )
-
-    # Ensure that subsequent calls to the property send the exact same object.
-    assert transport.operations_client is transport.operations_client
-
-
-def test_catalog_service_grpc_lro_async_client():
-    client = CatalogServiceAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc_asyncio',
-    )
-    transport = client.transport
-
-    # Ensure that we have a api-core operations client.
-    assert isinstance(
-        transport.operations_client,
-        operations_v1.OperationsAsyncClient,
-    )
-
-    # Ensure that subsequent calls to the property send the exact same object.
-    assert transport.operations_client is transport.operations_client
-
-
-def test_aspect_type_path():
-    project = "squid"
-    location = "clam"
-    aspect_type = "whelk"
-    expected = "projects/{project}/locations/{location}/aspectTypes/{aspect_type}".format(project=project, location=location, aspect_type=aspect_type, )
-    actual = CatalogServiceClient.aspect_type_path(project, location, aspect_type)
-    assert expected == actual
-
-
-def test_parse_aspect_type_path():
-    expected = {
-        "project": "octopus",
-        "location": "oyster",
-        "aspect_type": "nudibranch",
-    }
-    path = CatalogServiceClient.aspect_type_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = CatalogServiceClient.parse_aspect_type_path(path)
-    assert expected == actual
-
-def test_entry_path():
-    project = "cuttlefish"
-    location = "mussel"
-    entry_group = "winkle"
-    entry = "nautilus"
-    expected = "projects/{project}/locations/{location}/entryGroups/{entry_group}/entries/{entry}".format(project=project, location=location, entry_group=entry_group, entry=entry, )
-    actual = CatalogServiceClient.entry_path(project, location, entry_group, entry)
-    assert expected == actual
-
-
-def test_parse_entry_path():
-    expected = {
-        "project": "scallop",
-        "location": "abalone",
-        "entry_group": "squid",
-        "entry": "clam",
-    }
-    path = CatalogServiceClient.entry_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = CatalogServiceClient.parse_entry_path(path)
-    assert expected == actual
-
-def test_entry_group_path():
-    project = "whelk"
-    location = "octopus"
-    entry_group = "oyster"
-    expected = "projects/{project}/locations/{location}/entryGroups/{entry_group}".format(project=project, location=location, entry_group=entry_group, )
-    actual = CatalogServiceClient.entry_group_path(project, location, entry_group)
-    assert expected == actual
-
-
-def test_parse_entry_group_path():
-    expected = {
-        "project": "nudibranch",
-        "location": "cuttlefish",
-        "entry_group": "mussel",
-    }
-    path = CatalogServiceClient.entry_group_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = CatalogServiceClient.parse_entry_group_path(path)
-    assert expected == actual
-
-def test_entry_type_path():
-    project = "winkle"
-    location = "nautilus"
-    entry_type = "scallop"
-    expected = "projects/{project}/locations/{location}/entryTypes/{entry_type}".format(project=project, location=location, entry_type=entry_type, )
-    actual = CatalogServiceClient.entry_type_path(project, location, entry_type)
-    assert expected == actual
-
-
-def test_parse_entry_type_path():
-    expected = {
-        "project": "abalone",
-        "location": "squid",
-        "entry_type": "clam",
-    }
-    path = CatalogServiceClient.entry_type_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = CatalogServiceClient.parse_entry_type_path(path)
-    assert expected == actual
-
-def test_metadata_job_path():
-    project = "whelk"
-    location = "octopus"
-    metadataJob = "oyster"
-    expected = "projects/{project}/locations/{location}/metadataJobs/{metadataJob}".format(project=project, location=location, metadataJob=metadataJob, )
-    actual = CatalogServiceClient.metadata_job_path(project, location, metadataJob)
-    assert expected == actual
-
-
-def test_parse_metadata_job_path():
-    expected = {
-        "project": "nudibranch",
-        "location": "cuttlefish",
-        "metadataJob": "mussel",
-    }
-    path = CatalogServiceClient.metadata_job_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = CatalogServiceClient.parse_metadata_job_path(path)
-    assert expected == actual
-
-def test_common_billing_account_path():
-    billing_account = "winkle"
-    expected = "billingAccounts/{billing_account}".format(billing_account=billing_account, )
-    actual = CatalogServiceClient.common_billing_account_path(billing_account)
-    assert expected == actual
-
-
-def test_parse_common_billing_account_path():
-    expected = {
-        "billing_account": "nautilus",
-    }
-    path = CatalogServiceClient.common_billing_account_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = CatalogServiceClient.parse_common_billing_account_path(path)
-    assert expected == actual
-
-def test_common_folder_path():
-    folder = "scallop"
-    expected = "folders/{folder}".format(folder=folder, )
-    actual = CatalogServiceClient.common_folder_path(folder)
-    assert expected == actual
-
-
-def test_parse_common_folder_path():
-    expected = {
-        "folder": "abalone",
-    }
-    path = CatalogServiceClient.common_folder_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = CatalogServiceClient.parse_common_folder_path(path)
-    assert expected == actual
-
-def test_common_organization_path():
-    organization = "squid"
-    expected = "organizations/{organization}".format(organization=organization, )
-    actual = CatalogServiceClient.common_organization_path(organization)
-    assert expected == actual
-
-
-def test_parse_common_organization_path():
-    expected = {
-        "organization": "clam",
-    }
-    path = CatalogServiceClient.common_organization_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = CatalogServiceClient.parse_common_organization_path(path)
-    assert expected == actual
-
-def test_common_project_path():
-    project = "whelk"
-    expected = "projects/{project}".format(project=project, )
-    actual = CatalogServiceClient.common_project_path(project)
-    assert expected == actual
-
-
-def test_parse_common_project_path():
-    expected = {
-        "project": "octopus",
-    }
-    path = CatalogServiceClient.common_project_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = CatalogServiceClient.parse_common_project_path(path)
-    assert expected == actual
-
-def test_common_location_path():
-    project = "oyster"
-    location = "nudibranch"
-    expected = "projects/{project}/locations/{location}".format(project=project, location=location, )
-    actual = CatalogServiceClient.common_location_path(project, location)
-    assert expected == actual
-
-
-def test_parse_common_location_path():
-    expected = {
-        "project": "cuttlefish",
-        "location": "mussel",
-    }
-    path = CatalogServiceClient.common_location_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = CatalogServiceClient.parse_common_location_path(path)
-    assert expected == actual
-
-
-def test_client_with_default_client_info():
-    client_info = gapic_v1.client_info.ClientInfo()
-
-    with mock.patch.object(transports.CatalogServiceTransport, '_prep_wrapped_messages') as prep:
-        client = CatalogServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            client_info=client_info,
-        )
-        prep.assert_called_once_with(client_info)
-
-    with mock.patch.object(transports.CatalogServiceTransport, '_prep_wrapped_messages') as prep:
-        transport_class = CatalogServiceClient.get_transport_class()
-        transport = transport_class(
-            credentials=ga_credentials.AnonymousCredentials(),
-            client_info=client_info,
-        )
-        prep.assert_called_once_with(client_info)
-
-
-def test_delete_operation(transport: str = "grpc"):
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.DeleteOperationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = None
-        response = client.delete_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert response is None
-@pytest.mark.asyncio
-async def test_delete_operation_async(transport: str = "grpc_asyncio"):
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.DeleteOperationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            None
-        )
-        response = await client.delete_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert response is None
-
-def test_delete_operation_field_headers():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.DeleteOperationRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
-        call.return_value =  None
-
-        client.delete_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-@pytest.mark.asyncio
-async def test_delete_operation_field_headers_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.DeleteOperationRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            None
-        )
-        await client.delete_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-
-def test_delete_operation_from_dict():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = None
-
-        response = client.delete_operation(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-@pytest.mark.asyncio
-async def test_delete_operation_from_dict_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            None
-        )
-        response = await client.delete_operation(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-def test_cancel_operation(transport: str = "grpc"):
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.CancelOperationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = None
-        response = client.cancel_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert response is None
-@pytest.mark.asyncio
-async def test_cancel_operation_async(transport: str = "grpc_asyncio"):
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.CancelOperationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            None
-        )
-        response = await client.cancel_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert response is None
-
-def test_cancel_operation_field_headers():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.CancelOperationRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
-        call.return_value =  None
-
-        client.cancel_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-@pytest.mark.asyncio
-async def test_cancel_operation_field_headers_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.CancelOperationRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            None
-        )
-        await client.cancel_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-
-def test_cancel_operation_from_dict():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = None
-
-        response = client.cancel_operation(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-@pytest.mark.asyncio
-async def test_cancel_operation_from_dict_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            None
-        )
-        response = await client.cancel_operation(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-def test_get_operation(transport: str = "grpc"):
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.GetOperationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation()
-        response = client.get_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, operations_pb2.Operation)
-@pytest.mark.asyncio
-async def test_get_operation_async(transport: str = "grpc_asyncio"):
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.GetOperationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation()
-        )
-        response = await client.get_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, operations_pb2.Operation)
-
-def test_get_operation_field_headers():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.GetOperationRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        call.return_value = operations_pb2.Operation()
-
-        client.get_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-@pytest.mark.asyncio
-async def test_get_operation_field_headers_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.GetOperationRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation()
-        )
-        await client.get_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-
-def test_get_operation_from_dict():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation()
-
-        response = client.get_operation(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-@pytest.mark.asyncio
-async def test_get_operation_from_dict_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation()
-        )
-        response = await client.get_operation(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-def test_list_operations(transport: str = "grpc"):
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.ListOperationsRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.ListOperationsResponse()
-        response = client.list_operations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, operations_pb2.ListOperationsResponse)
-@pytest.mark.asyncio
-async def test_list_operations_async(transport: str = "grpc_asyncio"):
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.ListOperationsRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.ListOperationsResponse()
-        )
-        response = await client.list_operations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, operations_pb2.ListOperationsResponse)
-
-def test_list_operations_field_headers():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.ListOperationsRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        call.return_value = operations_pb2.ListOperationsResponse()
-
-        client.list_operations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-@pytest.mark.asyncio
-async def test_list_operations_field_headers_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.ListOperationsRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.ListOperationsResponse()
-        )
-        await client.list_operations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-
-def test_list_operations_from_dict():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.ListOperationsResponse()
-
-        response = client.list_operations(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-@pytest.mark.asyncio
-async def test_list_operations_from_dict_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.ListOperationsResponse()
-        )
-        response = await client.list_operations(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-def test_list_locations(transport: str = "grpc"):
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = locations_pb2.ListLocationsRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = locations_pb2.ListLocationsResponse()
-        response = client.list_locations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, locations_pb2.ListLocationsResponse)
-@pytest.mark.asyncio
-async def test_list_locations_async(transport: str = "grpc_asyncio"):
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = locations_pb2.ListLocationsRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            locations_pb2.ListLocationsResponse()
-        )
-        response = await client.list_locations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, locations_pb2.ListLocationsResponse)
-
-def test_list_locations_field_headers():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = locations_pb2.ListLocationsRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
-        call.return_value = locations_pb2.ListLocationsResponse()
-
-        client.list_locations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-@pytest.mark.asyncio
-async def test_list_locations_field_headers_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = locations_pb2.ListLocationsRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            locations_pb2.ListLocationsResponse()
-        )
-        await client.list_locations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-
-def test_list_locations_from_dict():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = locations_pb2.ListLocationsResponse()
-
-        response = client.list_locations(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-@pytest.mark.asyncio
-async def test_list_locations_from_dict_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            locations_pb2.ListLocationsResponse()
-        )
-        response = await client.list_locations(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-def test_get_location(transport: str = "grpc"):
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = locations_pb2.GetLocationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_location), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = locations_pb2.Location()
-        response = client.get_location(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, locations_pb2.Location)
-@pytest.mark.asyncio
-async def test_get_location_async(transport: str = "grpc_asyncio"):
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = locations_pb2.GetLocationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_location), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            locations_pb2.Location()
-        )
-        response = await client.get_location(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, locations_pb2.Location)
-
-def test_get_location_field_headers():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials())
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = locations_pb2.GetLocationRequest()
-    request.name = "locations/abc"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_location), "__call__") as call:
-        call.return_value = locations_pb2.Location()
-
-        client.get_location(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations/abc",) in kw["metadata"]
-@pytest.mark.asyncio
-async def test_get_location_field_headers_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials()
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = locations_pb2.GetLocationRequest()
-    request.name = "locations/abc"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_location), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            locations_pb2.Location()
-        )
-        await client.get_location(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations/abc",) in kw["metadata"]
-
-def test_get_location_from_dict():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = locations_pb2.Location()
-
-        response = client.get_location(
-            request={
-                "name": "locations/abc",
-            }
-        )
-        call.assert_called()
-@pytest.mark.asyncio
-async def test_get_location_from_dict_async():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            locations_pb2.Location()
-        )
-        response = await client.get_location(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-def test_transport_close_grpc():
-    client = CatalogServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc"
-    )
-    with mock.patch.object(type(getattr(client.transport, "_grpc_channel")), "close") as close:
-        with client:
-            close.assert_not_called()
-        close.assert_called_once()
-
-
-@pytest.mark.asyncio
-async def test_transport_close_grpc_asyncio():
-    client = CatalogServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio"
-    )
-    with mock.patch.object(type(getattr(client.transport, "_grpc_channel")), "close") as close:
-        async with client:
-            close.assert_not_called()
-        close.assert_called_once()
-
-
-def test_client_ctx():
-    transports = [
-        'grpc',
-    ]
-    for transport in transports:
-        client = CatalogServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport=transport
-        )
-        # Test client calls underlying transport.
-        with mock.patch.object(type(client.transport), "close") as close:
-            close.assert_not_called()
-            with client:
-                pass
-            close.assert_called()
-
-@pytest.mark.parametrize("client_class,transport_class", [
-    (CatalogServiceClient, transports.CatalogServiceGrpcTransport),
-    (CatalogServiceAsyncClient, transports.CatalogServiceGrpcAsyncIOTransport),
-])
-def test_api_key_credentials(client_class, transport_class):
-    with mock.patch.object(
-        google.auth._default, "get_api_key_credentials", create=True
-    ) as get_api_key_credentials:
-        mock_cred = mock.Mock()
-        get_api_key_credentials.return_value = mock_cred
-        options = client_options.ClientOptions()
-        options.api_key = "api_key"
-        with mock.patch.object(transport_class, "__init__") as patched:
-            patched.return_value = None
-            client = client_class(client_options=options)
-            patched.assert_called_once_with(
-                credentials=mock_cred,
-                credentials_file=None,
-                host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
-                scopes=None,
-                client_cert_source_for_mtls=None,
-                quota_project_id=None,
-                client_info=transports.base.DEFAULT_CLIENT_INFO,
-                always_use_jwt_access=True,
-                api_audience=None,
-            )
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/tests/unit/gapic/dataplex_v1/test_content_service.py b/owl-bot-staging/google-cloud-dataplex/v1/tests/unit/gapic/dataplex_v1/test_content_service.py
deleted file mode 100644
index 5d28ebbdf192..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/tests/unit/gapic/dataplex_v1/test_content_service.py
+++ /dev/null
@@ -1,5202 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-import os
-# try/except added for compatibility with python < 3.8
-try:
-    from unittest import mock
-    from unittest.mock import AsyncMock  # pragma: NO COVER
-except ImportError:  # pragma: NO COVER
-    import mock
-
-import grpc
-from grpc.experimental import aio
-import math
-import pytest
-from google.api_core import api_core_version
-from proto.marshal.rules.dates import DurationRule, TimestampRule
-from proto.marshal.rules import wrappers
-
-try:
-    from google.auth.aio import credentials as ga_credentials_async
-    HAS_GOOGLE_AUTH_AIO = True
-except ImportError: # pragma: NO COVER
-    HAS_GOOGLE_AUTH_AIO = False
-
-from google.api_core import client_options
-from google.api_core import exceptions as core_exceptions
-from google.api_core import gapic_v1
-from google.api_core import grpc_helpers
-from google.api_core import grpc_helpers_async
-from google.api_core import path_template
-from google.api_core import retry as retries
-from google.auth import credentials as ga_credentials
-from google.auth.exceptions import MutualTLSChannelError
-from google.cloud.dataplex_v1.services.content_service import ContentServiceAsyncClient
-from google.cloud.dataplex_v1.services.content_service import ContentServiceClient
-from google.cloud.dataplex_v1.services.content_service import pagers
-from google.cloud.dataplex_v1.services.content_service import transports
-from google.cloud.dataplex_v1.types import analyze
-from google.cloud.dataplex_v1.types import content
-from google.cloud.dataplex_v1.types import content as gcd_content
-from google.cloud.location import locations_pb2
-from google.iam.v1 import iam_policy_pb2  # type: ignore
-from google.iam.v1 import options_pb2  # type: ignore
-from google.iam.v1 import policy_pb2  # type: ignore
-from google.longrunning import operations_pb2 # type: ignore
-from google.oauth2 import service_account
-from google.protobuf import field_mask_pb2  # type: ignore
-from google.protobuf import timestamp_pb2  # type: ignore
-from google.type import expr_pb2  # type: ignore
-import google.auth
-
-
-async def mock_async_gen(data, chunk_size=1):
-    for i in range(0, len(data)):  # pragma: NO COVER
-        chunk = data[i : i + chunk_size]
-        yield chunk.encode("utf-8")
-
-def client_cert_source_callback():
-    return b"cert bytes", b"key bytes"
-
-# TODO: use async auth anon credentials by default once the minimum version of google-auth is upgraded.
-# See related issue: https://github.com/googleapis/gapic-generator-python/issues/2107.
-def async_anonymous_credentials():
-    if HAS_GOOGLE_AUTH_AIO:
-        return ga_credentials_async.AnonymousCredentials()
-    return ga_credentials.AnonymousCredentials()
-
-# If default endpoint is localhost, then default mtls endpoint will be the same.
-# This method modifies the default endpoint so the client can produce a different
-# mtls endpoint for endpoint testing purposes.
-def modify_default_endpoint(client):
-    return "foo.googleapis.com" if ("localhost" in client.DEFAULT_ENDPOINT) else client.DEFAULT_ENDPOINT
-
-# If default endpoint template is localhost, then default mtls endpoint will be the same.
-# This method modifies the default endpoint template so the client can produce a different
-# mtls endpoint for endpoint testing purposes.
-def modify_default_endpoint_template(client):
-    return "test.{UNIVERSE_DOMAIN}" if ("localhost" in client._DEFAULT_ENDPOINT_TEMPLATE) else client._DEFAULT_ENDPOINT_TEMPLATE
-
-
-def test__get_default_mtls_endpoint():
-    api_endpoint = "example.googleapis.com"
-    api_mtls_endpoint = "example.mtls.googleapis.com"
-    sandbox_endpoint = "example.sandbox.googleapis.com"
-    sandbox_mtls_endpoint = "example.mtls.sandbox.googleapis.com"
-    non_googleapi = "api.example.com"
-
-    assert ContentServiceClient._get_default_mtls_endpoint(None) is None
-    assert ContentServiceClient._get_default_mtls_endpoint(api_endpoint) == api_mtls_endpoint
-    assert ContentServiceClient._get_default_mtls_endpoint(api_mtls_endpoint) == api_mtls_endpoint
-    assert ContentServiceClient._get_default_mtls_endpoint(sandbox_endpoint) == sandbox_mtls_endpoint
-    assert ContentServiceClient._get_default_mtls_endpoint(sandbox_mtls_endpoint) == sandbox_mtls_endpoint
-    assert ContentServiceClient._get_default_mtls_endpoint(non_googleapi) == non_googleapi
-
-def test__read_environment_variables():
-    assert ContentServiceClient._read_environment_variables() == (False, "auto", None)
-
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
-        assert ContentServiceClient._read_environment_variables() == (True, "auto", None)
-
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "false"}):
-        assert ContentServiceClient._read_environment_variables() == (False, "auto", None)
-
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}):
-        with pytest.raises(ValueError) as excinfo:
-            ContentServiceClient._read_environment_variables()
-    assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`"
-
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
-        assert ContentServiceClient._read_environment_variables() == (False, "never", None)
-
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
-        assert ContentServiceClient._read_environment_variables() == (False, "always", None)
-
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "auto"}):
-        assert ContentServiceClient._read_environment_variables() == (False, "auto", None)
-
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}):
-        with pytest.raises(MutualTLSChannelError) as excinfo:
-            ContentServiceClient._read_environment_variables()
-    assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`"
-
-    with mock.patch.dict(os.environ, {"GOOGLE_CLOUD_UNIVERSE_DOMAIN": "foo.com"}):
-        assert ContentServiceClient._read_environment_variables() == (False, "auto", "foo.com")
-
-def test__get_client_cert_source():
-    mock_provided_cert_source = mock.Mock()
-    mock_default_cert_source = mock.Mock()
-
-    assert ContentServiceClient._get_client_cert_source(None, False) is None
-    assert ContentServiceClient._get_client_cert_source(mock_provided_cert_source, False) is None
-    assert ContentServiceClient._get_client_cert_source(mock_provided_cert_source, True) == mock_provided_cert_source
-
-    with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True):
-        with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=mock_default_cert_source):
-            assert ContentServiceClient._get_client_cert_source(None, True) is mock_default_cert_source
-            assert ContentServiceClient._get_client_cert_source(mock_provided_cert_source, "true") is mock_provided_cert_source
-
-@mock.patch.object(ContentServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(ContentServiceClient))
-@mock.patch.object(ContentServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(ContentServiceAsyncClient))
-def test__get_api_endpoint():
-    api_override = "foo.com"
-    mock_client_cert_source = mock.Mock()
-    default_universe = ContentServiceClient._DEFAULT_UNIVERSE
-    default_endpoint = ContentServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=default_universe)
-    mock_universe = "bar.com"
-    mock_endpoint = ContentServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=mock_universe)
-
-    assert ContentServiceClient._get_api_endpoint(api_override, mock_client_cert_source, default_universe, "always") == api_override
-    assert ContentServiceClient._get_api_endpoint(None, mock_client_cert_source, default_universe, "auto") == ContentServiceClient.DEFAULT_MTLS_ENDPOINT
-    assert ContentServiceClient._get_api_endpoint(None, None, default_universe, "auto") == default_endpoint
-    assert ContentServiceClient._get_api_endpoint(None, None, default_universe, "always") == ContentServiceClient.DEFAULT_MTLS_ENDPOINT
-    assert ContentServiceClient._get_api_endpoint(None, mock_client_cert_source, default_universe, "always") == ContentServiceClient.DEFAULT_MTLS_ENDPOINT
-    assert ContentServiceClient._get_api_endpoint(None, None, mock_universe, "never") == mock_endpoint
-    assert ContentServiceClient._get_api_endpoint(None, None, default_universe, "never") == default_endpoint
-
-    with pytest.raises(MutualTLSChannelError) as excinfo:
-        ContentServiceClient._get_api_endpoint(None, mock_client_cert_source, mock_universe, "auto")
-    assert str(excinfo.value) == "mTLS is not supported in any universe other than googleapis.com."
-
-
-def test__get_universe_domain():
-    client_universe_domain = "foo.com"
-    universe_domain_env = "bar.com"
-
-    assert ContentServiceClient._get_universe_domain(client_universe_domain, universe_domain_env) == client_universe_domain
-    assert ContentServiceClient._get_universe_domain(None, universe_domain_env) == universe_domain_env
-    assert ContentServiceClient._get_universe_domain(None, None) == ContentServiceClient._DEFAULT_UNIVERSE
-
-    with pytest.raises(ValueError) as excinfo:
-        ContentServiceClient._get_universe_domain("", None)
-    assert str(excinfo.value) == "Universe Domain cannot be an empty string."
-
-
-@pytest.mark.parametrize("client_class,transport_name", [
-    (ContentServiceClient, "grpc"),
-    (ContentServiceAsyncClient, "grpc_asyncio"),
-])
-def test_content_service_client_from_service_account_info(client_class, transport_name):
-    creds = ga_credentials.AnonymousCredentials()
-    with mock.patch.object(service_account.Credentials, 'from_service_account_info') as factory:
-        factory.return_value = creds
-        info = {"valid": True}
-        client = client_class.from_service_account_info(info, transport=transport_name)
-        assert client.transport._credentials == creds
-        assert isinstance(client, client_class)
-
-        assert client.transport._host == (
-            'dataplex.googleapis.com:443'
-        )
-
-
-@pytest.mark.parametrize("transport_class,transport_name", [
-    (transports.ContentServiceGrpcTransport, "grpc"),
-    (transports.ContentServiceGrpcAsyncIOTransport, "grpc_asyncio"),
-])
-def test_content_service_client_service_account_always_use_jwt(transport_class, transport_name):
-    with mock.patch.object(service_account.Credentials, 'with_always_use_jwt_access', create=True) as use_jwt:
-        creds = service_account.Credentials(None, None, None)
-        transport = transport_class(credentials=creds, always_use_jwt_access=True)
-        use_jwt.assert_called_once_with(True)
-
-    with mock.patch.object(service_account.Credentials, 'with_always_use_jwt_access', create=True) as use_jwt:
-        creds = service_account.Credentials(None, None, None)
-        transport = transport_class(credentials=creds, always_use_jwt_access=False)
-        use_jwt.assert_not_called()
-
-
-@pytest.mark.parametrize("client_class,transport_name", [
-    (ContentServiceClient, "grpc"),
-    (ContentServiceAsyncClient, "grpc_asyncio"),
-])
-def test_content_service_client_from_service_account_file(client_class, transport_name):
-    creds = ga_credentials.AnonymousCredentials()
-    with mock.patch.object(service_account.Credentials, 'from_service_account_file') as factory:
-        factory.return_value = creds
-        client = client_class.from_service_account_file("dummy/file/path.json", transport=transport_name)
-        assert client.transport._credentials == creds
-        assert isinstance(client, client_class)
-
-        client = client_class.from_service_account_json("dummy/file/path.json", transport=transport_name)
-        assert client.transport._credentials == creds
-        assert isinstance(client, client_class)
-
-        assert client.transport._host == (
-            'dataplex.googleapis.com:443'
-        )
-
-
-def test_content_service_client_get_transport_class():
-    transport = ContentServiceClient.get_transport_class()
-    available_transports = [
-        transports.ContentServiceGrpcTransport,
-    ]
-    assert transport in available_transports
-
-    transport = ContentServiceClient.get_transport_class("grpc")
-    assert transport == transports.ContentServiceGrpcTransport
-
-
-@pytest.mark.parametrize("client_class,transport_class,transport_name", [
-    (ContentServiceClient, transports.ContentServiceGrpcTransport, "grpc"),
-    (ContentServiceAsyncClient, transports.ContentServiceGrpcAsyncIOTransport, "grpc_asyncio"),
-])
-@mock.patch.object(ContentServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(ContentServiceClient))
-@mock.patch.object(ContentServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(ContentServiceAsyncClient))
-def test_content_service_client_client_options(client_class, transport_class, transport_name):
-    # Check that if channel is provided we won't create a new one.
-    with mock.patch.object(ContentServiceClient, 'get_transport_class') as gtc:
-        transport = transport_class(
-            credentials=ga_credentials.AnonymousCredentials()
-        )
-        client = client_class(transport=transport)
-        gtc.assert_not_called()
-
-    # Check that if channel is provided via str we will create a new one.
-    with mock.patch.object(ContentServiceClient, 'get_transport_class') as gtc:
-        client = client_class(transport=transport_name)
-        gtc.assert_called()
-
-    # Check the case api_endpoint is provided.
-    options = client_options.ClientOptions(api_endpoint="squid.clam.whelk")
-    with mock.patch.object(transport_class, '__init__') as patched:
-        patched.return_value = None
-        client = client_class(transport=transport_name, client_options=options)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file=None,
-            host="squid.clam.whelk",
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-
-    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is
-    # "never".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
-        with mock.patch.object(transport_class, '__init__') as patched:
-            patched.return_value = None
-            client = client_class(transport=transport_name)
-            patched.assert_called_once_with(
-                credentials=None,
-                credentials_file=None,
-                host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
-                scopes=None,
-                client_cert_source_for_mtls=None,
-                quota_project_id=None,
-                client_info=transports.base.DEFAULT_CLIENT_INFO,
-                always_use_jwt_access=True,
-                api_audience=None,
-            )
-
-    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is
-    # "always".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
-        with mock.patch.object(transport_class, '__init__') as patched:
-            patched.return_value = None
-            client = client_class(transport=transport_name)
-            patched.assert_called_once_with(
-                credentials=None,
-                credentials_file=None,
-                host=client.DEFAULT_MTLS_ENDPOINT,
-                scopes=None,
-                client_cert_source_for_mtls=None,
-                quota_project_id=None,
-                client_info=transports.base.DEFAULT_CLIENT_INFO,
-                always_use_jwt_access=True,
-                api_audience=None,
-            )
-
-    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT has
-    # unsupported value.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}):
-        with pytest.raises(MutualTLSChannelError) as excinfo:
-            client = client_class(transport=transport_name)
-    assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`"
-
-    # Check the case GOOGLE_API_USE_CLIENT_CERTIFICATE has unsupported value.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}):
-        with pytest.raises(ValueError) as excinfo:
-            client = client_class(transport=transport_name)
-    assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`"
-
-    # Check the case quota_project_id is provided
-    options = client_options.ClientOptions(quota_project_id="octopus")
-    with mock.patch.object(transport_class, '__init__') as patched:
-        patched.return_value = None
-        client = client_class(client_options=options, transport=transport_name)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file=None,
-            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id="octopus",
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-    # Check the case api_endpoint is provided
-    options = client_options.ClientOptions(api_audience="https://language.googleapis.com")
-    with mock.patch.object(transport_class, '__init__') as patched:
-        patched.return_value = None
-        client = client_class(client_options=options, transport=transport_name)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file=None,
-            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience="https://language.googleapis.com"
-        )
-
-@pytest.mark.parametrize("client_class,transport_class,transport_name,use_client_cert_env", [
-    (ContentServiceClient, transports.ContentServiceGrpcTransport, "grpc", "true"),
-    (ContentServiceAsyncClient, transports.ContentServiceGrpcAsyncIOTransport, "grpc_asyncio", "true"),
-    (ContentServiceClient, transports.ContentServiceGrpcTransport, "grpc", "false"),
-    (ContentServiceAsyncClient, transports.ContentServiceGrpcAsyncIOTransport, "grpc_asyncio", "false"),
-])
-@mock.patch.object(ContentServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(ContentServiceClient))
-@mock.patch.object(ContentServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(ContentServiceAsyncClient))
-@mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "auto"})
-def test_content_service_client_mtls_env_auto(client_class, transport_class, transport_name, use_client_cert_env):
-    # This tests the endpoint autoswitch behavior. Endpoint is autoswitched to the default
-    # mtls endpoint, if GOOGLE_API_USE_CLIENT_CERTIFICATE is "true" and client cert exists.
-
-    # Check the case client_cert_source is provided. Whether client cert is used depends on
-    # GOOGLE_API_USE_CLIENT_CERTIFICATE value.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}):
-        options = client_options.ClientOptions(client_cert_source=client_cert_source_callback)
-        with mock.patch.object(transport_class, '__init__') as patched:
-            patched.return_value = None
-            client = client_class(client_options=options, transport=transport_name)
-
-            if use_client_cert_env == "false":
-                expected_client_cert_source = None
-                expected_host = client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE)
-            else:
-                expected_client_cert_source = client_cert_source_callback
-                expected_host = client.DEFAULT_MTLS_ENDPOINT
-
-            patched.assert_called_once_with(
-                credentials=None,
-                credentials_file=None,
-                host=expected_host,
-                scopes=None,
-                client_cert_source_for_mtls=expected_client_cert_source,
-                quota_project_id=None,
-                client_info=transports.base.DEFAULT_CLIENT_INFO,
-                always_use_jwt_access=True,
-                api_audience=None,
-            )
-
-    # Check the case ADC client cert is provided. Whether client cert is used depends on
-    # GOOGLE_API_USE_CLIENT_CERTIFICATE value.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}):
-        with mock.patch.object(transport_class, '__init__') as patched:
-            with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True):
-                with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=client_cert_source_callback):
-                    if use_client_cert_env == "false":
-                        expected_host = client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE)
-                        expected_client_cert_source = None
-                    else:
-                        expected_host = client.DEFAULT_MTLS_ENDPOINT
-                        expected_client_cert_source = client_cert_source_callback
-
-                    patched.return_value = None
-                    client = client_class(transport=transport_name)
-                    patched.assert_called_once_with(
-                        credentials=None,
-                        credentials_file=None,
-                        host=expected_host,
-                        scopes=None,
-                        client_cert_source_for_mtls=expected_client_cert_source,
-                        quota_project_id=None,
-                        client_info=transports.base.DEFAULT_CLIENT_INFO,
-                        always_use_jwt_access=True,
-                        api_audience=None,
-                    )
-
-    # Check the case client_cert_source and ADC client cert are not provided.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}):
-        with mock.patch.object(transport_class, '__init__') as patched:
-            with mock.patch("google.auth.transport.mtls.has_default_client_cert_source", return_value=False):
-                patched.return_value = None
-                client = client_class(transport=transport_name)
-                patched.assert_called_once_with(
-                    credentials=None,
-                    credentials_file=None,
-                    host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
-                    scopes=None,
-                    client_cert_source_for_mtls=None,
-                    quota_project_id=None,
-                    client_info=transports.base.DEFAULT_CLIENT_INFO,
-                    always_use_jwt_access=True,
-                    api_audience=None,
-                )
-
-
-@pytest.mark.parametrize("client_class", [
-    ContentServiceClient, ContentServiceAsyncClient
-])
-@mock.patch.object(ContentServiceClient, "DEFAULT_ENDPOINT", modify_default_endpoint(ContentServiceClient))
-@mock.patch.object(ContentServiceAsyncClient, "DEFAULT_ENDPOINT", modify_default_endpoint(ContentServiceAsyncClient))
-def test_content_service_client_get_mtls_endpoint_and_cert_source(client_class):
-    mock_client_cert_source = mock.Mock()
-
-    # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "true".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
-        mock_api_endpoint = "foo"
-        options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint)
-        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(options)
-        assert api_endpoint == mock_api_endpoint
-        assert cert_source == mock_client_cert_source
-
-    # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "false".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "false"}):
-        mock_client_cert_source = mock.Mock()
-        mock_api_endpoint = "foo"
-        options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint)
-        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(options)
-        assert api_endpoint == mock_api_endpoint
-        assert cert_source is None
-
-    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "never".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
-        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
-        assert api_endpoint == client_class.DEFAULT_ENDPOINT
-        assert cert_source is None
-
-    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "always".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
-        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
-        assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT
-        assert cert_source is None
-
-    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert doesn't exist.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
-        with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=False):
-            api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
-            assert api_endpoint == client_class.DEFAULT_ENDPOINT
-            assert cert_source is None
-
-    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert exists.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
-        with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True):
-            with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=mock_client_cert_source):
-                api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
-                assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT
-                assert cert_source == mock_client_cert_source
-
-    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT has
-    # unsupported value.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}):
-        with pytest.raises(MutualTLSChannelError) as excinfo:
-            client_class.get_mtls_endpoint_and_cert_source()
-
-        assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`"
-
-    # Check the case GOOGLE_API_USE_CLIENT_CERTIFICATE has unsupported value.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}):
-        with pytest.raises(ValueError) as excinfo:
-            client_class.get_mtls_endpoint_and_cert_source()
-
-        assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`"
-
-@pytest.mark.parametrize("client_class", [
-    ContentServiceClient, ContentServiceAsyncClient
-])
-@mock.patch.object(ContentServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(ContentServiceClient))
-@mock.patch.object(ContentServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(ContentServiceAsyncClient))
-def test_content_service_client_client_api_endpoint(client_class):
-    mock_client_cert_source = client_cert_source_callback
-    api_override = "foo.com"
-    default_universe = ContentServiceClient._DEFAULT_UNIVERSE
-    default_endpoint = ContentServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=default_universe)
-    mock_universe = "bar.com"
-    mock_endpoint = ContentServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=mock_universe)
-
-    # If ClientOptions.api_endpoint is set and GOOGLE_API_USE_CLIENT_CERTIFICATE="true",
-    # use ClientOptions.api_endpoint as the api endpoint regardless.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
-        with mock.patch("google.auth.transport.requests.AuthorizedSession.configure_mtls_channel"):
-            options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=api_override)
-            client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials())
-            assert client.api_endpoint == api_override
-
-    # If ClientOptions.api_endpoint is not set and GOOGLE_API_USE_MTLS_ENDPOINT="never",
-    # use the _DEFAULT_ENDPOINT_TEMPLATE populated with GDU as the api endpoint.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
-        client = client_class(credentials=ga_credentials.AnonymousCredentials())
-        assert client.api_endpoint == default_endpoint
-
-    # If ClientOptions.api_endpoint is not set and GOOGLE_API_USE_MTLS_ENDPOINT="always",
-    # use the DEFAULT_MTLS_ENDPOINT as the api endpoint.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
-        client = client_class(credentials=ga_credentials.AnonymousCredentials())
-        assert client.api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT
-
-    # If ClientOptions.api_endpoint is not set, GOOGLE_API_USE_MTLS_ENDPOINT="auto" (default),
-    # GOOGLE_API_USE_CLIENT_CERTIFICATE="false" (default), default cert source doesn't exist,
-    # and ClientOptions.universe_domain="bar.com",
-    # use the _DEFAULT_ENDPOINT_TEMPLATE populated with universe domain as the api endpoint.
-    options = client_options.ClientOptions()
-    universe_exists = hasattr(options, "universe_domain")
-    if universe_exists:
-        options = client_options.ClientOptions(universe_domain=mock_universe)
-        client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials())
-    else:
-        client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials())
-    assert client.api_endpoint == (mock_endpoint if universe_exists else default_endpoint)
-    assert client.universe_domain == (mock_universe if universe_exists else default_universe)
-
-    # If ClientOptions does not have a universe domain attribute and GOOGLE_API_USE_MTLS_ENDPOINT="never",
-    # use the _DEFAULT_ENDPOINT_TEMPLATE populated with GDU as the api endpoint.
-    options = client_options.ClientOptions()
-    if hasattr(options, "universe_domain"):
-        delattr(options, "universe_domain")
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
-        client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials())
-        assert client.api_endpoint == default_endpoint
-
-
-@pytest.mark.parametrize("client_class,transport_class,transport_name", [
-    (ContentServiceClient, transports.ContentServiceGrpcTransport, "grpc"),
-    (ContentServiceAsyncClient, transports.ContentServiceGrpcAsyncIOTransport, "grpc_asyncio"),
-])
-def test_content_service_client_client_options_scopes(client_class, transport_class, transport_name):
-    # Check the case scopes are provided.
-    options = client_options.ClientOptions(
-        scopes=["1", "2"],
-    )
-    with mock.patch.object(transport_class, '__init__') as patched:
-        patched.return_value = None
-        client = client_class(client_options=options, transport=transport_name)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file=None,
-            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
-            scopes=["1", "2"],
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-
-@pytest.mark.parametrize("client_class,transport_class,transport_name,grpc_helpers", [
-    (ContentServiceClient, transports.ContentServiceGrpcTransport, "grpc", grpc_helpers),
-    (ContentServiceAsyncClient, transports.ContentServiceGrpcAsyncIOTransport, "grpc_asyncio", grpc_helpers_async),
-])
-def test_content_service_client_client_options_credentials_file(client_class, transport_class, transport_name, grpc_helpers):
-    # Check the case credentials file is provided.
-    options = client_options.ClientOptions(
-        credentials_file="credentials.json"
-    )
-
-    with mock.patch.object(transport_class, '__init__') as patched:
-        patched.return_value = None
-        client = client_class(client_options=options, transport=transport_name)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file="credentials.json",
-            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-
-def test_content_service_client_client_options_from_dict():
-    with mock.patch('google.cloud.dataplex_v1.services.content_service.transports.ContentServiceGrpcTransport.__init__') as grpc_transport:
-        grpc_transport.return_value = None
-        client = ContentServiceClient(
-            client_options={'api_endpoint': 'squid.clam.whelk'}
-        )
-        grpc_transport.assert_called_once_with(
-            credentials=None,
-            credentials_file=None,
-            host="squid.clam.whelk",
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-
-
-@pytest.mark.parametrize("client_class,transport_class,transport_name,grpc_helpers", [
-    (ContentServiceClient, transports.ContentServiceGrpcTransport, "grpc", grpc_helpers),
-    (ContentServiceAsyncClient, transports.ContentServiceGrpcAsyncIOTransport, "grpc_asyncio", grpc_helpers_async),
-])
-def test_content_service_client_create_channel_credentials_file(client_class, transport_class, transport_name, grpc_helpers):
-    # Check the case credentials file is provided.
-    options = client_options.ClientOptions(
-        credentials_file="credentials.json"
-    )
-
-    with mock.patch.object(transport_class, '__init__') as patched:
-        patched.return_value = None
-        client = client_class(client_options=options, transport=transport_name)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file="credentials.json",
-            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-
-    # test that the credentials from file are saved and used as the credentials.
-    with mock.patch.object(
-        google.auth, "load_credentials_from_file", autospec=True
-    ) as load_creds, mock.patch.object(
-        google.auth, "default", autospec=True
-    ) as adc, mock.patch.object(
-        grpc_helpers, "create_channel"
-    ) as create_channel:
-        creds = ga_credentials.AnonymousCredentials()
-        file_creds = ga_credentials.AnonymousCredentials()
-        load_creds.return_value = (file_creds, None)
-        adc.return_value = (creds, None)
-        client = client_class(client_options=options, transport=transport_name)
-        create_channel.assert_called_with(
-            "dataplex.googleapis.com:443",
-            credentials=file_creds,
-            credentials_file=None,
-            quota_project_id=None,
-            default_scopes=(
-                'https://www.googleapis.com/auth/cloud-platform',
-),
-            scopes=None,
-            default_host="dataplex.googleapis.com",
-            ssl_credentials=None,
-            options=[
-                ("grpc.max_send_message_length", -1),
-                ("grpc.max_receive_message_length", -1),
-            ],
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  gcd_content.CreateContentRequest,
-  dict,
-])
-def test_create_content(request_type, transport: str = 'grpc'):
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_content),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = analyze.Content(
-            name='name_value',
-            uid='uid_value',
-            path='path_value',
-            description='description_value',
-            data_text='data_text_value',
-        )
-        response = client.create_content(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = gcd_content.CreateContentRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, analyze.Content)
-    assert response.name == 'name_value'
-    assert response.uid == 'uid_value'
-    assert response.path == 'path_value'
-    assert response.description == 'description_value'
-
-
-def test_create_content_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = gcd_content.CreateContentRequest(
-        parent='parent_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_content),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.create_content(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == gcd_content.CreateContentRequest(
-            parent='parent_value',
-        )
-
-def test_create_content_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = ContentServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.create_content in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.create_content] = mock_rpc
-        request = {}
-        client.create_content(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.create_content(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_create_content_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = ContentServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.create_content in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.create_content] = mock_rpc
-
-        request = {}
-        await client.create_content(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.create_content(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_create_content_async(transport: str = 'grpc_asyncio', request_type=gcd_content.CreateContentRequest):
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_content),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(analyze.Content(
-            name='name_value',
-            uid='uid_value',
-            path='path_value',
-            description='description_value',
-        ))
-        response = await client.create_content(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = gcd_content.CreateContentRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, analyze.Content)
-    assert response.name == 'name_value'
-    assert response.uid == 'uid_value'
-    assert response.path == 'path_value'
-    assert response.description == 'description_value'
-
-
-@pytest.mark.asyncio
-async def test_create_content_async_from_dict():
-    await test_create_content_async(request_type=dict)
-
-def test_create_content_field_headers():
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = gcd_content.CreateContentRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_content),
-            '__call__') as call:
-        call.return_value = analyze.Content()
-        client.create_content(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_create_content_field_headers_async():
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = gcd_content.CreateContentRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_content),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(analyze.Content())
-        await client.create_content(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-def test_create_content_flattened():
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_content),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = analyze.Content()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.create_content(
-            parent='parent_value',
-            content=analyze.Content(name='name_value'),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-        arg = args[0].content
-        mock_val = analyze.Content(name='name_value')
-        assert arg == mock_val
-
-
-def test_create_content_flattened_error():
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.create_content(
-            gcd_content.CreateContentRequest(),
-            parent='parent_value',
-            content=analyze.Content(name='name_value'),
-        )
-
-@pytest.mark.asyncio
-async def test_create_content_flattened_async():
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_content),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = analyze.Content()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(analyze.Content())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.create_content(
-            parent='parent_value',
-            content=analyze.Content(name='name_value'),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-        arg = args[0].content
-        mock_val = analyze.Content(name='name_value')
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_create_content_flattened_error_async():
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.create_content(
-            gcd_content.CreateContentRequest(),
-            parent='parent_value',
-            content=analyze.Content(name='name_value'),
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  gcd_content.UpdateContentRequest,
-  dict,
-])
-def test_update_content(request_type, transport: str = 'grpc'):
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_content),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = analyze.Content(
-            name='name_value',
-            uid='uid_value',
-            path='path_value',
-            description='description_value',
-            data_text='data_text_value',
-        )
-        response = client.update_content(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = gcd_content.UpdateContentRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, analyze.Content)
-    assert response.name == 'name_value'
-    assert response.uid == 'uid_value'
-    assert response.path == 'path_value'
-    assert response.description == 'description_value'
-
-
-def test_update_content_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = gcd_content.UpdateContentRequest(
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_content),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.update_content(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == gcd_content.UpdateContentRequest(
-        )
-
-def test_update_content_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = ContentServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.update_content in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.update_content] = mock_rpc
-        request = {}
-        client.update_content(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.update_content(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_update_content_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = ContentServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.update_content in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.update_content] = mock_rpc
-
-        request = {}
-        await client.update_content(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.update_content(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_update_content_async(transport: str = 'grpc_asyncio', request_type=gcd_content.UpdateContentRequest):
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_content),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(analyze.Content(
-            name='name_value',
-            uid='uid_value',
-            path='path_value',
-            description='description_value',
-        ))
-        response = await client.update_content(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = gcd_content.UpdateContentRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, analyze.Content)
-    assert response.name == 'name_value'
-    assert response.uid == 'uid_value'
-    assert response.path == 'path_value'
-    assert response.description == 'description_value'
-
-
-@pytest.mark.asyncio
-async def test_update_content_async_from_dict():
-    await test_update_content_async(request_type=dict)
-
-def test_update_content_field_headers():
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = gcd_content.UpdateContentRequest()
-
-    request.content.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_content),
-            '__call__') as call:
-        call.return_value = analyze.Content()
-        client.update_content(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'content.name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_update_content_field_headers_async():
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = gcd_content.UpdateContentRequest()
-
-    request.content.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_content),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(analyze.Content())
-        await client.update_content(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'content.name=name_value',
-    ) in kw['metadata']
-
-
-def test_update_content_flattened():
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_content),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = analyze.Content()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.update_content(
-            content=analyze.Content(name='name_value'),
-            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].content
-        mock_val = analyze.Content(name='name_value')
-        assert arg == mock_val
-        arg = args[0].update_mask
-        mock_val = field_mask_pb2.FieldMask(paths=['paths_value'])
-        assert arg == mock_val
-
-
-def test_update_content_flattened_error():
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.update_content(
-            gcd_content.UpdateContentRequest(),
-            content=analyze.Content(name='name_value'),
-            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
-        )
-
-@pytest.mark.asyncio
-async def test_update_content_flattened_async():
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_content),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = analyze.Content()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(analyze.Content())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.update_content(
-            content=analyze.Content(name='name_value'),
-            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].content
-        mock_val = analyze.Content(name='name_value')
-        assert arg == mock_val
-        arg = args[0].update_mask
-        mock_val = field_mask_pb2.FieldMask(paths=['paths_value'])
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_update_content_flattened_error_async():
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.update_content(
-            gcd_content.UpdateContentRequest(),
-            content=analyze.Content(name='name_value'),
-            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  content.DeleteContentRequest,
-  dict,
-])
-def test_delete_content(request_type, transport: str = 'grpc'):
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_content),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = None
-        response = client.delete_content(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = content.DeleteContentRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert response is None
-
-
-def test_delete_content_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = content.DeleteContentRequest(
-        name='name_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_content),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.delete_content(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == content.DeleteContentRequest(
-            name='name_value',
-        )
-
-def test_delete_content_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = ContentServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.delete_content in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.delete_content] = mock_rpc
-        request = {}
-        client.delete_content(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.delete_content(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_delete_content_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = ContentServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.delete_content in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.delete_content] = mock_rpc
-
-        request = {}
-        await client.delete_content(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.delete_content(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_delete_content_async(transport: str = 'grpc_asyncio', request_type=content.DeleteContentRequest):
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_content),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
-        response = await client.delete_content(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = content.DeleteContentRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert response is None
-
-
-@pytest.mark.asyncio
-async def test_delete_content_async_from_dict():
-    await test_delete_content_async(request_type=dict)
-
-def test_delete_content_field_headers():
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = content.DeleteContentRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_content),
-            '__call__') as call:
-        call.return_value = None
-        client.delete_content(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_delete_content_field_headers_async():
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = content.DeleteContentRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_content),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
-        await client.delete_content(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-def test_delete_content_flattened():
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_content),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = None
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.delete_content(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-
-def test_delete_content_flattened_error():
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.delete_content(
-            content.DeleteContentRequest(),
-            name='name_value',
-        )
-
-@pytest.mark.asyncio
-async def test_delete_content_flattened_async():
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_content),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = None
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.delete_content(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_delete_content_flattened_error_async():
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.delete_content(
-            content.DeleteContentRequest(),
-            name='name_value',
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  content.GetContentRequest,
-  dict,
-])
-def test_get_content(request_type, transport: str = 'grpc'):
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_content),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = analyze.Content(
-            name='name_value',
-            uid='uid_value',
-            path='path_value',
-            description='description_value',
-            data_text='data_text_value',
-        )
-        response = client.get_content(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = content.GetContentRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, analyze.Content)
-    assert response.name == 'name_value'
-    assert response.uid == 'uid_value'
-    assert response.path == 'path_value'
-    assert response.description == 'description_value'
-
-
-def test_get_content_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = content.GetContentRequest(
-        name='name_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_content),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.get_content(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == content.GetContentRequest(
-            name='name_value',
-        )
-
-def test_get_content_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = ContentServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.get_content in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.get_content] = mock_rpc
-        request = {}
-        client.get_content(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.get_content(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_get_content_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = ContentServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.get_content in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.get_content] = mock_rpc
-
-        request = {}
-        await client.get_content(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.get_content(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_get_content_async(transport: str = 'grpc_asyncio', request_type=content.GetContentRequest):
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_content),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(analyze.Content(
-            name='name_value',
-            uid='uid_value',
-            path='path_value',
-            description='description_value',
-        ))
-        response = await client.get_content(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = content.GetContentRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, analyze.Content)
-    assert response.name == 'name_value'
-    assert response.uid == 'uid_value'
-    assert response.path == 'path_value'
-    assert response.description == 'description_value'
-
-
-@pytest.mark.asyncio
-async def test_get_content_async_from_dict():
-    await test_get_content_async(request_type=dict)
-
-def test_get_content_field_headers():
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = content.GetContentRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_content),
-            '__call__') as call:
-        call.return_value = analyze.Content()
-        client.get_content(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_get_content_field_headers_async():
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = content.GetContentRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_content),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(analyze.Content())
-        await client.get_content(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-def test_get_content_flattened():
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_content),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = analyze.Content()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.get_content(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-
-def test_get_content_flattened_error():
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.get_content(
-            content.GetContentRequest(),
-            name='name_value',
-        )
-
-@pytest.mark.asyncio
-async def test_get_content_flattened_async():
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_content),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = analyze.Content()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(analyze.Content())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.get_content(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_get_content_flattened_error_async():
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.get_content(
-            content.GetContentRequest(),
-            name='name_value',
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  iam_policy_pb2.GetIamPolicyRequest,
-  dict,
-])
-def test_get_iam_policy(request_type, transport: str = 'grpc'):
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_iam_policy),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = policy_pb2.Policy(
-            version=774,
-            etag=b'etag_blob',
-        )
-        response = client.get_iam_policy(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = iam_policy_pb2.GetIamPolicyRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, policy_pb2.Policy)
-    assert response.version == 774
-    assert response.etag == b'etag_blob'
-
-
-def test_get_iam_policy_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = iam_policy_pb2.GetIamPolicyRequest(
-        resource='resource_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_iam_policy),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.get_iam_policy(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == iam_policy_pb2.GetIamPolicyRequest(
-            resource='resource_value',
-        )
-
-def test_get_iam_policy_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = ContentServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.get_iam_policy in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.get_iam_policy] = mock_rpc
-        request = {}
-        client.get_iam_policy(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.get_iam_policy(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_get_iam_policy_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = ContentServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.get_iam_policy in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.get_iam_policy] = mock_rpc
-
-        request = {}
-        await client.get_iam_policy(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.get_iam_policy(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_get_iam_policy_async(transport: str = 'grpc_asyncio', request_type=iam_policy_pb2.GetIamPolicyRequest):
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_iam_policy),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(policy_pb2.Policy(
-            version=774,
-            etag=b'etag_blob',
-        ))
-        response = await client.get_iam_policy(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = iam_policy_pb2.GetIamPolicyRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, policy_pb2.Policy)
-    assert response.version == 774
-    assert response.etag == b'etag_blob'
-
-
-@pytest.mark.asyncio
-async def test_get_iam_policy_async_from_dict():
-    await test_get_iam_policy_async(request_type=dict)
-
-def test_get_iam_policy_field_headers():
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = iam_policy_pb2.GetIamPolicyRequest()
-
-    request.resource = 'resource_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_iam_policy),
-            '__call__') as call:
-        call.return_value = policy_pb2.Policy()
-        client.get_iam_policy(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'resource=resource_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_get_iam_policy_field_headers_async():
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = iam_policy_pb2.GetIamPolicyRequest()
-
-    request.resource = 'resource_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_iam_policy),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(policy_pb2.Policy())
-        await client.get_iam_policy(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'resource=resource_value',
-    ) in kw['metadata']
-
-def test_get_iam_policy_from_dict_foreign():
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_iam_policy),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = policy_pb2.Policy()
-        response = client.get_iam_policy(request={
-            'resource': 'resource_value',
-            'options': options_pb2.GetPolicyOptions(requested_policy_version=2598),
-            }
-        )
-        call.assert_called()
-
-
-def test_get_iam_policy_flattened():
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_iam_policy),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = policy_pb2.Policy()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.get_iam_policy(
-            resource='resource_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].resource
-        mock_val = 'resource_value'
-        assert arg == mock_val
-
-
-def test_get_iam_policy_flattened_error():
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.get_iam_policy(
-            iam_policy_pb2.GetIamPolicyRequest(),
-            resource='resource_value',
-        )
-
-@pytest.mark.asyncio
-async def test_get_iam_policy_flattened_async():
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_iam_policy),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = policy_pb2.Policy()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(policy_pb2.Policy())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.get_iam_policy(
-            resource='resource_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].resource
-        mock_val = 'resource_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_get_iam_policy_flattened_error_async():
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.get_iam_policy(
-            iam_policy_pb2.GetIamPolicyRequest(),
-            resource='resource_value',
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  iam_policy_pb2.SetIamPolicyRequest,
-  dict,
-])
-def test_set_iam_policy(request_type, transport: str = 'grpc'):
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.set_iam_policy),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = policy_pb2.Policy(
-            version=774,
-            etag=b'etag_blob',
-        )
-        response = client.set_iam_policy(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = iam_policy_pb2.SetIamPolicyRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, policy_pb2.Policy)
-    assert response.version == 774
-    assert response.etag == b'etag_blob'
-
-
-def test_set_iam_policy_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = iam_policy_pb2.SetIamPolicyRequest(
-        resource='resource_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.set_iam_policy),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.set_iam_policy(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == iam_policy_pb2.SetIamPolicyRequest(
-            resource='resource_value',
-        )
-
-def test_set_iam_policy_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = ContentServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.set_iam_policy in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.set_iam_policy] = mock_rpc
-        request = {}
-        client.set_iam_policy(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.set_iam_policy(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_set_iam_policy_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = ContentServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.set_iam_policy in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.set_iam_policy] = mock_rpc
-
-        request = {}
-        await client.set_iam_policy(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.set_iam_policy(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_set_iam_policy_async(transport: str = 'grpc_asyncio', request_type=iam_policy_pb2.SetIamPolicyRequest):
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.set_iam_policy),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(policy_pb2.Policy(
-            version=774,
-            etag=b'etag_blob',
-        ))
-        response = await client.set_iam_policy(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = iam_policy_pb2.SetIamPolicyRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, policy_pb2.Policy)
-    assert response.version == 774
-    assert response.etag == b'etag_blob'
-
-
-@pytest.mark.asyncio
-async def test_set_iam_policy_async_from_dict():
-    await test_set_iam_policy_async(request_type=dict)
-
-def test_set_iam_policy_field_headers():
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = iam_policy_pb2.SetIamPolicyRequest()
-
-    request.resource = 'resource_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.set_iam_policy),
-            '__call__') as call:
-        call.return_value = policy_pb2.Policy()
-        client.set_iam_policy(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'resource=resource_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_set_iam_policy_field_headers_async():
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = iam_policy_pb2.SetIamPolicyRequest()
-
-    request.resource = 'resource_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.set_iam_policy),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(policy_pb2.Policy())
-        await client.set_iam_policy(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'resource=resource_value',
-    ) in kw['metadata']
-
-def test_set_iam_policy_from_dict_foreign():
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.set_iam_policy),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = policy_pb2.Policy()
-        response = client.set_iam_policy(request={
-            'resource': 'resource_value',
-            'policy': policy_pb2.Policy(version=774),
-            'update_mask': field_mask_pb2.FieldMask(paths=['paths_value']),
-            }
-        )
-        call.assert_called()
-
-
-@pytest.mark.parametrize("request_type", [
-  iam_policy_pb2.TestIamPermissionsRequest,
-  dict,
-])
-def test_test_iam_permissions(request_type, transport: str = 'grpc'):
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.test_iam_permissions),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = iam_policy_pb2.TestIamPermissionsResponse(
-            permissions=['permissions_value'],
-        )
-        response = client.test_iam_permissions(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = iam_policy_pb2.TestIamPermissionsRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, iam_policy_pb2.TestIamPermissionsResponse)
-    assert response.permissions == ['permissions_value']
-
-
-def test_test_iam_permissions_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = iam_policy_pb2.TestIamPermissionsRequest(
-        resource='resource_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.test_iam_permissions),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.test_iam_permissions(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == iam_policy_pb2.TestIamPermissionsRequest(
-            resource='resource_value',
-        )
-
-def test_test_iam_permissions_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = ContentServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.test_iam_permissions in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.test_iam_permissions] = mock_rpc
-        request = {}
-        client.test_iam_permissions(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.test_iam_permissions(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_test_iam_permissions_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = ContentServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.test_iam_permissions in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.test_iam_permissions] = mock_rpc
-
-        request = {}
-        await client.test_iam_permissions(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.test_iam_permissions(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_test_iam_permissions_async(transport: str = 'grpc_asyncio', request_type=iam_policy_pb2.TestIamPermissionsRequest):
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.test_iam_permissions),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(iam_policy_pb2.TestIamPermissionsResponse(
-            permissions=['permissions_value'],
-        ))
-        response = await client.test_iam_permissions(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = iam_policy_pb2.TestIamPermissionsRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, iam_policy_pb2.TestIamPermissionsResponse)
-    assert response.permissions == ['permissions_value']
-
-
-@pytest.mark.asyncio
-async def test_test_iam_permissions_async_from_dict():
-    await test_test_iam_permissions_async(request_type=dict)
-
-def test_test_iam_permissions_field_headers():
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = iam_policy_pb2.TestIamPermissionsRequest()
-
-    request.resource = 'resource_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.test_iam_permissions),
-            '__call__') as call:
-        call.return_value = iam_policy_pb2.TestIamPermissionsResponse()
-        client.test_iam_permissions(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'resource=resource_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_test_iam_permissions_field_headers_async():
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = iam_policy_pb2.TestIamPermissionsRequest()
-
-    request.resource = 'resource_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.test_iam_permissions),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(iam_policy_pb2.TestIamPermissionsResponse())
-        await client.test_iam_permissions(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'resource=resource_value',
-    ) in kw['metadata']
-
-def test_test_iam_permissions_from_dict_foreign():
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.test_iam_permissions),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = iam_policy_pb2.TestIamPermissionsResponse()
-        response = client.test_iam_permissions(request={
-            'resource': 'resource_value',
-            'permissions': ['permissions_value'],
-            }
-        )
-        call.assert_called()
-
-
-@pytest.mark.parametrize("request_type", [
-  content.ListContentRequest,
-  dict,
-])
-def test_list_content(request_type, transport: str = 'grpc'):
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_content),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = content.ListContentResponse(
-            next_page_token='next_page_token_value',
-        )
-        response = client.list_content(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = content.ListContentRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListContentPager)
-    assert response.next_page_token == 'next_page_token_value'
-
-
-def test_list_content_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = content.ListContentRequest(
-        parent='parent_value',
-        page_token='page_token_value',
-        filter='filter_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_content),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.list_content(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == content.ListContentRequest(
-            parent='parent_value',
-            page_token='page_token_value',
-            filter='filter_value',
-        )
-
-def test_list_content_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = ContentServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.list_content in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.list_content] = mock_rpc
-        request = {}
-        client.list_content(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.list_content(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_list_content_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = ContentServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.list_content in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.list_content] = mock_rpc
-
-        request = {}
-        await client.list_content(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.list_content(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_list_content_async(transport: str = 'grpc_asyncio', request_type=content.ListContentRequest):
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_content),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(content.ListContentResponse(
-            next_page_token='next_page_token_value',
-        ))
-        response = await client.list_content(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = content.ListContentRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListContentAsyncPager)
-    assert response.next_page_token == 'next_page_token_value'
-
-
-@pytest.mark.asyncio
-async def test_list_content_async_from_dict():
-    await test_list_content_async(request_type=dict)
-
-def test_list_content_field_headers():
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = content.ListContentRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_content),
-            '__call__') as call:
-        call.return_value = content.ListContentResponse()
-        client.list_content(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_list_content_field_headers_async():
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = content.ListContentRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_content),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(content.ListContentResponse())
-        await client.list_content(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-def test_list_content_flattened():
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_content),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = content.ListContentResponse()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.list_content(
-            parent='parent_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-
-
-def test_list_content_flattened_error():
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.list_content(
-            content.ListContentRequest(),
-            parent='parent_value',
-        )
-
-@pytest.mark.asyncio
-async def test_list_content_flattened_async():
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_content),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = content.ListContentResponse()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(content.ListContentResponse())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.list_content(
-            parent='parent_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_list_content_flattened_error_async():
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.list_content(
-            content.ListContentRequest(),
-            parent='parent_value',
-        )
-
-
-def test_list_content_pager(transport_name: str = "grpc"):
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_content),
-            '__call__') as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            content.ListContentResponse(
-                content=[
-                    analyze.Content(),
-                    analyze.Content(),
-                    analyze.Content(),
-                ],
-                next_page_token='abc',
-            ),
-            content.ListContentResponse(
-                content=[],
-                next_page_token='def',
-            ),
-            content.ListContentResponse(
-                content=[
-                    analyze.Content(),
-                ],
-                next_page_token='ghi',
-            ),
-            content.ListContentResponse(
-                content=[
-                    analyze.Content(),
-                    analyze.Content(),
-                ],
-            ),
-            RuntimeError,
-        )
-
-        expected_metadata = ()
-        retry = retries.Retry()
-        timeout = 5
-        expected_metadata = tuple(expected_metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ('parent', ''),
-            )),
-        )
-        pager = client.list_content(request={}, retry=retry, timeout=timeout)
-
-        assert pager._metadata == expected_metadata
-        assert pager._retry == retry
-        assert pager._timeout == timeout
-
-        results = list(pager)
-        assert len(results) == 6
-        assert all(isinstance(i, analyze.Content)
-                   for i in results)
-def test_list_content_pages(transport_name: str = "grpc"):
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_content),
-            '__call__') as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            content.ListContentResponse(
-                content=[
-                    analyze.Content(),
-                    analyze.Content(),
-                    analyze.Content(),
-                ],
-                next_page_token='abc',
-            ),
-            content.ListContentResponse(
-                content=[],
-                next_page_token='def',
-            ),
-            content.ListContentResponse(
-                content=[
-                    analyze.Content(),
-                ],
-                next_page_token='ghi',
-            ),
-            content.ListContentResponse(
-                content=[
-                    analyze.Content(),
-                    analyze.Content(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = list(client.list_content(request={}).pages)
-        for page_, token in zip(pages, ['abc','def','ghi', '']):
-            assert page_.raw_page.next_page_token == token
-
-@pytest.mark.asyncio
-async def test_list_content_async_pager():
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_content),
-            '__call__', new_callable=mock.AsyncMock) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            content.ListContentResponse(
-                content=[
-                    analyze.Content(),
-                    analyze.Content(),
-                    analyze.Content(),
-                ],
-                next_page_token='abc',
-            ),
-            content.ListContentResponse(
-                content=[],
-                next_page_token='def',
-            ),
-            content.ListContentResponse(
-                content=[
-                    analyze.Content(),
-                ],
-                next_page_token='ghi',
-            ),
-            content.ListContentResponse(
-                content=[
-                    analyze.Content(),
-                    analyze.Content(),
-                ],
-            ),
-            RuntimeError,
-        )
-        async_pager = await client.list_content(request={},)
-        assert async_pager.next_page_token == 'abc'
-        responses = []
-        async for response in async_pager: # pragma: no branch
-            responses.append(response)
-
-        assert len(responses) == 6
-        assert all(isinstance(i, analyze.Content)
-                for i in responses)
-
-
-@pytest.mark.asyncio
-async def test_list_content_async_pages():
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_content),
-            '__call__', new_callable=mock.AsyncMock) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            content.ListContentResponse(
-                content=[
-                    analyze.Content(),
-                    analyze.Content(),
-                    analyze.Content(),
-                ],
-                next_page_token='abc',
-            ),
-            content.ListContentResponse(
-                content=[],
-                next_page_token='def',
-            ),
-            content.ListContentResponse(
-                content=[
-                    analyze.Content(),
-                ],
-                next_page_token='ghi',
-            ),
-            content.ListContentResponse(
-                content=[
-                    analyze.Content(),
-                    analyze.Content(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = []
-        # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch`
-        # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372
-        async for page_ in ( # pragma: no branch
-            await client.list_content(request={})
-        ).pages:
-            pages.append(page_)
-        for page_, token in zip(pages, ['abc','def','ghi', '']):
-            assert page_.raw_page.next_page_token == token
-
-
-def test_credentials_transport_error():
-    # It is an error to provide credentials and a transport instance.
-    transport = transports.ContentServiceGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    with pytest.raises(ValueError):
-        client = ContentServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport=transport,
-        )
-
-    # It is an error to provide a credentials file and a transport instance.
-    transport = transports.ContentServiceGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    with pytest.raises(ValueError):
-        client = ContentServiceClient(
-            client_options={"credentials_file": "credentials.json"},
-            transport=transport,
-        )
-
-    # It is an error to provide an api_key and a transport instance.
-    transport = transports.ContentServiceGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    options = client_options.ClientOptions()
-    options.api_key = "api_key"
-    with pytest.raises(ValueError):
-        client = ContentServiceClient(
-            client_options=options,
-            transport=transport,
-        )
-
-    # It is an error to provide an api_key and a credential.
-    options = client_options.ClientOptions()
-    options.api_key = "api_key"
-    with pytest.raises(ValueError):
-        client = ContentServiceClient(
-            client_options=options,
-            credentials=ga_credentials.AnonymousCredentials()
-        )
-
-    # It is an error to provide scopes and a transport instance.
-    transport = transports.ContentServiceGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    with pytest.raises(ValueError):
-        client = ContentServiceClient(
-            client_options={"scopes": ["1", "2"]},
-            transport=transport,
-        )
-
-
-def test_transport_instance():
-    # A client may be instantiated with a custom transport instance.
-    transport = transports.ContentServiceGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    client = ContentServiceClient(transport=transport)
-    assert client.transport is transport
-
-def test_transport_get_channel():
-    # A client may be instantiated with a custom transport instance.
-    transport = transports.ContentServiceGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    channel = transport.grpc_channel
-    assert channel
-
-    transport = transports.ContentServiceGrpcAsyncIOTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    channel = transport.grpc_channel
-    assert channel
-
-@pytest.mark.parametrize("transport_class", [
-    transports.ContentServiceGrpcTransport,
-    transports.ContentServiceGrpcAsyncIOTransport,
-])
-def test_transport_adc(transport_class):
-    # Test default credentials are used if not provided.
-    with mock.patch.object(google.auth, 'default') as adc:
-        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
-        transport_class()
-        adc.assert_called_once()
-
-def test_transport_kind_grpc():
-    transport = ContentServiceClient.get_transport_class("grpc")(
-        credentials=ga_credentials.AnonymousCredentials()
-    )
-    assert transport.kind == "grpc"
-
-
-def test_initialize_client_w_grpc():
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc"
-    )
-    assert client is not None
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_create_content_empty_call_grpc():
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_content),
-            '__call__') as call:
-        call.return_value = analyze.Content()
-        client.create_content(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = gcd_content.CreateContentRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_update_content_empty_call_grpc():
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_content),
-            '__call__') as call:
-        call.return_value = analyze.Content()
-        client.update_content(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = gcd_content.UpdateContentRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_delete_content_empty_call_grpc():
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_content),
-            '__call__') as call:
-        call.return_value = None
-        client.delete_content(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = content.DeleteContentRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_get_content_empty_call_grpc():
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_content),
-            '__call__') as call:
-        call.return_value = analyze.Content()
-        client.get_content(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = content.GetContentRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_get_iam_policy_empty_call_grpc():
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_iam_policy),
-            '__call__') as call:
-        call.return_value = policy_pb2.Policy()
-        client.get_iam_policy(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = iam_policy_pb2.GetIamPolicyRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_set_iam_policy_empty_call_grpc():
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.set_iam_policy),
-            '__call__') as call:
-        call.return_value = policy_pb2.Policy()
-        client.set_iam_policy(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = iam_policy_pb2.SetIamPolicyRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_test_iam_permissions_empty_call_grpc():
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.test_iam_permissions),
-            '__call__') as call:
-        call.return_value = iam_policy_pb2.TestIamPermissionsResponse()
-        client.test_iam_permissions(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = iam_policy_pb2.TestIamPermissionsRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_list_content_empty_call_grpc():
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_content),
-            '__call__') as call:
-        call.return_value = content.ListContentResponse()
-        client.list_content(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = content.ListContentRequest()
-
-        assert args[0] == request_msg
-
-
-def test_transport_kind_grpc_asyncio():
-    transport = ContentServiceAsyncClient.get_transport_class("grpc_asyncio")(
-        credentials=async_anonymous_credentials()
-    )
-    assert transport.kind == "grpc_asyncio"
-
-
-def test_initialize_client_w_grpc_asyncio():
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio"
-    )
-    assert client is not None
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_create_content_empty_call_grpc_asyncio():
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_content),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(analyze.Content(
-            name='name_value',
-            uid='uid_value',
-            path='path_value',
-            description='description_value',
-        ))
-        await client.create_content(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = gcd_content.CreateContentRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_update_content_empty_call_grpc_asyncio():
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_content),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(analyze.Content(
-            name='name_value',
-            uid='uid_value',
-            path='path_value',
-            description='description_value',
-        ))
-        await client.update_content(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = gcd_content.UpdateContentRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_delete_content_empty_call_grpc_asyncio():
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_content),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
-        await client.delete_content(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = content.DeleteContentRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_get_content_empty_call_grpc_asyncio():
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_content),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(analyze.Content(
-            name='name_value',
-            uid='uid_value',
-            path='path_value',
-            description='description_value',
-        ))
-        await client.get_content(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = content.GetContentRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_get_iam_policy_empty_call_grpc_asyncio():
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_iam_policy),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(policy_pb2.Policy(
-            version=774,
-            etag=b'etag_blob',
-        ))
-        await client.get_iam_policy(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = iam_policy_pb2.GetIamPolicyRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_set_iam_policy_empty_call_grpc_asyncio():
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.set_iam_policy),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(policy_pb2.Policy(
-            version=774,
-            etag=b'etag_blob',
-        ))
-        await client.set_iam_policy(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = iam_policy_pb2.SetIamPolicyRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_test_iam_permissions_empty_call_grpc_asyncio():
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.test_iam_permissions),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(iam_policy_pb2.TestIamPermissionsResponse(
-            permissions=['permissions_value'],
-        ))
-        await client.test_iam_permissions(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = iam_policy_pb2.TestIamPermissionsRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_list_content_empty_call_grpc_asyncio():
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_content),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(content.ListContentResponse(
-            next_page_token='next_page_token_value',
-        ))
-        await client.list_content(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = content.ListContentRequest()
-
-        assert args[0] == request_msg
-
-
-def test_transport_grpc_default():
-    # A client should use the gRPC transport by default.
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    assert isinstance(
-        client.transport,
-        transports.ContentServiceGrpcTransport,
-    )
-
-def test_content_service_base_transport_error():
-    # Passing both a credentials object and credentials_file should raise an error
-    with pytest.raises(core_exceptions.DuplicateCredentialArgs):
-        transport = transports.ContentServiceTransport(
-            credentials=ga_credentials.AnonymousCredentials(),
-            credentials_file="credentials.json"
-        )
-
-
-def test_content_service_base_transport():
-    # Instantiate the base transport.
-    with mock.patch('google.cloud.dataplex_v1.services.content_service.transports.ContentServiceTransport.__init__') as Transport:
-        Transport.return_value = None
-        transport = transports.ContentServiceTransport(
-            credentials=ga_credentials.AnonymousCredentials(),
-        )
-
-    # Every method on the transport should just blindly
-    # raise NotImplementedError.
-    methods = (
-        'create_content',
-        'update_content',
-        'delete_content',
-        'get_content',
-        'get_iam_policy',
-        'set_iam_policy',
-        'test_iam_permissions',
-        'list_content',
-        'get_location',
-        'list_locations',
-        'get_operation',
-        'cancel_operation',
-        'delete_operation',
-        'list_operations',
-    )
-    for method in methods:
-        with pytest.raises(NotImplementedError):
-            getattr(transport, method)(request=object())
-
-    with pytest.raises(NotImplementedError):
-        transport.close()
-
-    # Catch all for all remaining methods and properties
-    remainder = [
-        'kind',
-    ]
-    for r in remainder:
-        with pytest.raises(NotImplementedError):
-            getattr(transport, r)()
-
-
-def test_content_service_base_transport_with_credentials_file():
-    # Instantiate the base transport with a credentials file
-    with mock.patch.object(google.auth, 'load_credentials_from_file', autospec=True) as load_creds, mock.patch('google.cloud.dataplex_v1.services.content_service.transports.ContentServiceTransport._prep_wrapped_messages') as Transport:
-        Transport.return_value = None
-        load_creds.return_value = (ga_credentials.AnonymousCredentials(), None)
-        transport = transports.ContentServiceTransport(
-            credentials_file="credentials.json",
-            quota_project_id="octopus",
-        )
-        load_creds.assert_called_once_with("credentials.json",
-            scopes=None,
-            default_scopes=(
-            'https://www.googleapis.com/auth/cloud-platform',
-),
-            quota_project_id="octopus",
-        )
-
-
-def test_content_service_base_transport_with_adc():
-    # Test the default credentials are used if credentials and credentials_file are None.
-    with mock.patch.object(google.auth, 'default', autospec=True) as adc, mock.patch('google.cloud.dataplex_v1.services.content_service.transports.ContentServiceTransport._prep_wrapped_messages') as Transport:
-        Transport.return_value = None
-        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
-        transport = transports.ContentServiceTransport()
-        adc.assert_called_once()
-
-
-def test_content_service_auth_adc():
-    # If no credentials are provided, we should use ADC credentials.
-    with mock.patch.object(google.auth, 'default', autospec=True) as adc:
-        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
-        ContentServiceClient()
-        adc.assert_called_once_with(
-            scopes=None,
-            default_scopes=(
-            'https://www.googleapis.com/auth/cloud-platform',
-),
-            quota_project_id=None,
-        )
-
-
-@pytest.mark.parametrize(
-    "transport_class",
-    [
-        transports.ContentServiceGrpcTransport,
-        transports.ContentServiceGrpcAsyncIOTransport,
-    ],
-)
-def test_content_service_transport_auth_adc(transport_class):
-    # If credentials and host are not provided, the transport class should use
-    # ADC credentials.
-    with mock.patch.object(google.auth, 'default', autospec=True) as adc:
-        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
-        transport_class(quota_project_id="octopus", scopes=["1", "2"])
-        adc.assert_called_once_with(
-            scopes=["1", "2"],
-            default_scopes=(                'https://www.googleapis.com/auth/cloud-platform',),
-            quota_project_id="octopus",
-        )
-
-
-@pytest.mark.parametrize(
-    "transport_class",
-    [
-        transports.ContentServiceGrpcTransport,
-        transports.ContentServiceGrpcAsyncIOTransport,
-    ],
-)
-def test_content_service_transport_auth_gdch_credentials(transport_class):
-    host = 'https://language.com'
-    api_audience_tests = [None, 'https://language2.com']
-    api_audience_expect = [host, 'https://language2.com']
-    for t, e in zip(api_audience_tests, api_audience_expect):
-        with mock.patch.object(google.auth, 'default', autospec=True) as adc:
-            gdch_mock = mock.MagicMock()
-            type(gdch_mock).with_gdch_audience = mock.PropertyMock(return_value=gdch_mock)
-            adc.return_value = (gdch_mock, None)
-            transport_class(host=host, api_audience=t)
-            gdch_mock.with_gdch_audience.assert_called_once_with(
-                e
-            )
-
-
-@pytest.mark.parametrize(
-    "transport_class,grpc_helpers",
-    [
-        (transports.ContentServiceGrpcTransport, grpc_helpers),
-        (transports.ContentServiceGrpcAsyncIOTransport, grpc_helpers_async)
-    ],
-)
-def test_content_service_transport_create_channel(transport_class, grpc_helpers):
-    # If credentials and host are not provided, the transport class should use
-    # ADC credentials.
-    with mock.patch.object(google.auth, "default", autospec=True) as adc, mock.patch.object(
-        grpc_helpers, "create_channel", autospec=True
-    ) as create_channel:
-        creds = ga_credentials.AnonymousCredentials()
-        adc.return_value = (creds, None)
-        transport_class(
-            quota_project_id="octopus",
-            scopes=["1", "2"]
-        )
-
-        create_channel.assert_called_with(
-            "dataplex.googleapis.com:443",
-            credentials=creds,
-            credentials_file=None,
-            quota_project_id="octopus",
-            default_scopes=(
-                'https://www.googleapis.com/auth/cloud-platform',
-),
-            scopes=["1", "2"],
-            default_host="dataplex.googleapis.com",
-            ssl_credentials=None,
-            options=[
-                ("grpc.max_send_message_length", -1),
-                ("grpc.max_receive_message_length", -1),
-            ],
-        )
-
-
-@pytest.mark.parametrize("transport_class", [transports.ContentServiceGrpcTransport, transports.ContentServiceGrpcAsyncIOTransport])
-def test_content_service_grpc_transport_client_cert_source_for_mtls(
-    transport_class
-):
-    cred = ga_credentials.AnonymousCredentials()
-
-    # Check ssl_channel_credentials is used if provided.
-    with mock.patch.object(transport_class, "create_channel") as mock_create_channel:
-        mock_ssl_channel_creds = mock.Mock()
-        transport_class(
-            host="squid.clam.whelk",
-            credentials=cred,
-            ssl_channel_credentials=mock_ssl_channel_creds
-        )
-        mock_create_channel.assert_called_once_with(
-            "squid.clam.whelk:443",
-            credentials=cred,
-            credentials_file=None,
-            scopes=None,
-            ssl_credentials=mock_ssl_channel_creds,
-            quota_project_id=None,
-            options=[
-                ("grpc.max_send_message_length", -1),
-                ("grpc.max_receive_message_length", -1),
-            ],
-        )
-
-    # Check if ssl_channel_credentials is not provided, then client_cert_source_for_mtls
-    # is used.
-    with mock.patch.object(transport_class, "create_channel", return_value=mock.Mock()):
-        with mock.patch("grpc.ssl_channel_credentials") as mock_ssl_cred:
-            transport_class(
-                credentials=cred,
-                client_cert_source_for_mtls=client_cert_source_callback
-            )
-            expected_cert, expected_key = client_cert_source_callback()
-            mock_ssl_cred.assert_called_once_with(
-                certificate_chain=expected_cert,
-                private_key=expected_key
-            )
-
-
-@pytest.mark.parametrize("transport_name", [
-    "grpc",
-    "grpc_asyncio",
-])
-def test_content_service_host_no_port(transport_name):
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        client_options=client_options.ClientOptions(api_endpoint='dataplex.googleapis.com'),
-         transport=transport_name,
-    )
-    assert client.transport._host == (
-        'dataplex.googleapis.com:443'
-    )
-
-@pytest.mark.parametrize("transport_name", [
-    "grpc",
-    "grpc_asyncio",
-])
-def test_content_service_host_with_port(transport_name):
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        client_options=client_options.ClientOptions(api_endpoint='dataplex.googleapis.com:8000'),
-        transport=transport_name,
-    )
-    assert client.transport._host == (
-        'dataplex.googleapis.com:8000'
-    )
-
-def test_content_service_grpc_transport_channel():
-    channel = grpc.secure_channel('http://localhost/', grpc.local_channel_credentials())
-
-    # Check that channel is used if provided.
-    transport = transports.ContentServiceGrpcTransport(
-        host="squid.clam.whelk",
-        channel=channel,
-    )
-    assert transport.grpc_channel == channel
-    assert transport._host == "squid.clam.whelk:443"
-    assert transport._ssl_channel_credentials == None
-
-
-def test_content_service_grpc_asyncio_transport_channel():
-    channel = aio.secure_channel('http://localhost/', grpc.local_channel_credentials())
-
-    # Check that channel is used if provided.
-    transport = transports.ContentServiceGrpcAsyncIOTransport(
-        host="squid.clam.whelk",
-        channel=channel,
-    )
-    assert transport.grpc_channel == channel
-    assert transport._host == "squid.clam.whelk:443"
-    assert transport._ssl_channel_credentials == None
-
-
-# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are
-# removed from grpc/grpc_asyncio transport constructor.
-@pytest.mark.parametrize("transport_class", [transports.ContentServiceGrpcTransport, transports.ContentServiceGrpcAsyncIOTransport])
-def test_content_service_transport_channel_mtls_with_client_cert_source(
-    transport_class
-):
-    with mock.patch("grpc.ssl_channel_credentials", autospec=True) as grpc_ssl_channel_cred:
-        with mock.patch.object(transport_class, "create_channel") as grpc_create_channel:
-            mock_ssl_cred = mock.Mock()
-            grpc_ssl_channel_cred.return_value = mock_ssl_cred
-
-            mock_grpc_channel = mock.Mock()
-            grpc_create_channel.return_value = mock_grpc_channel
-
-            cred = ga_credentials.AnonymousCredentials()
-            with pytest.warns(DeprecationWarning):
-                with mock.patch.object(google.auth, 'default') as adc:
-                    adc.return_value = (cred, None)
-                    transport = transport_class(
-                        host="squid.clam.whelk",
-                        api_mtls_endpoint="mtls.squid.clam.whelk",
-                        client_cert_source=client_cert_source_callback,
-                    )
-                    adc.assert_called_once()
-
-            grpc_ssl_channel_cred.assert_called_once_with(
-                certificate_chain=b"cert bytes", private_key=b"key bytes"
-            )
-            grpc_create_channel.assert_called_once_with(
-                "mtls.squid.clam.whelk:443",
-                credentials=cred,
-                credentials_file=None,
-                scopes=None,
-                ssl_credentials=mock_ssl_cred,
-                quota_project_id=None,
-                options=[
-                    ("grpc.max_send_message_length", -1),
-                    ("grpc.max_receive_message_length", -1),
-                ],
-            )
-            assert transport.grpc_channel == mock_grpc_channel
-            assert transport._ssl_channel_credentials == mock_ssl_cred
-
-
-# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are
-# removed from grpc/grpc_asyncio transport constructor.
-@pytest.mark.parametrize("transport_class", [transports.ContentServiceGrpcTransport, transports.ContentServiceGrpcAsyncIOTransport])
-def test_content_service_transport_channel_mtls_with_adc(
-    transport_class
-):
-    mock_ssl_cred = mock.Mock()
-    with mock.patch.multiple(
-        "google.auth.transport.grpc.SslCredentials",
-        __init__=mock.Mock(return_value=None),
-        ssl_credentials=mock.PropertyMock(return_value=mock_ssl_cred),
-    ):
-        with mock.patch.object(transport_class, "create_channel") as grpc_create_channel:
-            mock_grpc_channel = mock.Mock()
-            grpc_create_channel.return_value = mock_grpc_channel
-            mock_cred = mock.Mock()
-
-            with pytest.warns(DeprecationWarning):
-                transport = transport_class(
-                    host="squid.clam.whelk",
-                    credentials=mock_cred,
-                    api_mtls_endpoint="mtls.squid.clam.whelk",
-                    client_cert_source=None,
-                )
-
-            grpc_create_channel.assert_called_once_with(
-                "mtls.squid.clam.whelk:443",
-                credentials=mock_cred,
-                credentials_file=None,
-                scopes=None,
-                ssl_credentials=mock_ssl_cred,
-                quota_project_id=None,
-                options=[
-                    ("grpc.max_send_message_length", -1),
-                    ("grpc.max_receive_message_length", -1),
-                ],
-            )
-            assert transport.grpc_channel == mock_grpc_channel
-
-
-def test_content_path():
-    project = "squid"
-    location = "clam"
-    lake = "whelk"
-    content = "octopus"
-    expected = "projects/{project}/locations/{location}/lakes/{lake}/content/{content}".format(project=project, location=location, lake=lake, content=content, )
-    actual = ContentServiceClient.content_path(project, location, lake, content)
-    assert expected == actual
-
-
-def test_parse_content_path():
-    expected = {
-        "project": "oyster",
-        "location": "nudibranch",
-        "lake": "cuttlefish",
-        "content": "mussel",
-    }
-    path = ContentServiceClient.content_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = ContentServiceClient.parse_content_path(path)
-    assert expected == actual
-
-def test_lake_path():
-    project = "winkle"
-    location = "nautilus"
-    lake = "scallop"
-    expected = "projects/{project}/locations/{location}/lakes/{lake}".format(project=project, location=location, lake=lake, )
-    actual = ContentServiceClient.lake_path(project, location, lake)
-    assert expected == actual
-
-
-def test_parse_lake_path():
-    expected = {
-        "project": "abalone",
-        "location": "squid",
-        "lake": "clam",
-    }
-    path = ContentServiceClient.lake_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = ContentServiceClient.parse_lake_path(path)
-    assert expected == actual
-
-def test_common_billing_account_path():
-    billing_account = "whelk"
-    expected = "billingAccounts/{billing_account}".format(billing_account=billing_account, )
-    actual = ContentServiceClient.common_billing_account_path(billing_account)
-    assert expected == actual
-
-
-def test_parse_common_billing_account_path():
-    expected = {
-        "billing_account": "octopus",
-    }
-    path = ContentServiceClient.common_billing_account_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = ContentServiceClient.parse_common_billing_account_path(path)
-    assert expected == actual
-
-def test_common_folder_path():
-    folder = "oyster"
-    expected = "folders/{folder}".format(folder=folder, )
-    actual = ContentServiceClient.common_folder_path(folder)
-    assert expected == actual
-
-
-def test_parse_common_folder_path():
-    expected = {
-        "folder": "nudibranch",
-    }
-    path = ContentServiceClient.common_folder_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = ContentServiceClient.parse_common_folder_path(path)
-    assert expected == actual
-
-def test_common_organization_path():
-    organization = "cuttlefish"
-    expected = "organizations/{organization}".format(organization=organization, )
-    actual = ContentServiceClient.common_organization_path(organization)
-    assert expected == actual
-
-
-def test_parse_common_organization_path():
-    expected = {
-        "organization": "mussel",
-    }
-    path = ContentServiceClient.common_organization_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = ContentServiceClient.parse_common_organization_path(path)
-    assert expected == actual
-
-def test_common_project_path():
-    project = "winkle"
-    expected = "projects/{project}".format(project=project, )
-    actual = ContentServiceClient.common_project_path(project)
-    assert expected == actual
-
-
-def test_parse_common_project_path():
-    expected = {
-        "project": "nautilus",
-    }
-    path = ContentServiceClient.common_project_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = ContentServiceClient.parse_common_project_path(path)
-    assert expected == actual
-
-def test_common_location_path():
-    project = "scallop"
-    location = "abalone"
-    expected = "projects/{project}/locations/{location}".format(project=project, location=location, )
-    actual = ContentServiceClient.common_location_path(project, location)
-    assert expected == actual
-
-
-def test_parse_common_location_path():
-    expected = {
-        "project": "squid",
-        "location": "clam",
-    }
-    path = ContentServiceClient.common_location_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = ContentServiceClient.parse_common_location_path(path)
-    assert expected == actual
-
-
-def test_client_with_default_client_info():
-    client_info = gapic_v1.client_info.ClientInfo()
-
-    with mock.patch.object(transports.ContentServiceTransport, '_prep_wrapped_messages') as prep:
-        client = ContentServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            client_info=client_info,
-        )
-        prep.assert_called_once_with(client_info)
-
-    with mock.patch.object(transports.ContentServiceTransport, '_prep_wrapped_messages') as prep:
-        transport_class = ContentServiceClient.get_transport_class()
-        transport = transport_class(
-            credentials=ga_credentials.AnonymousCredentials(),
-            client_info=client_info,
-        )
-        prep.assert_called_once_with(client_info)
-
-
-def test_delete_operation(transport: str = "grpc"):
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.DeleteOperationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = None
-        response = client.delete_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert response is None
-@pytest.mark.asyncio
-async def test_delete_operation_async(transport: str = "grpc_asyncio"):
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.DeleteOperationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            None
-        )
-        response = await client.delete_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert response is None
-
-def test_delete_operation_field_headers():
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.DeleteOperationRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
-        call.return_value =  None
-
-        client.delete_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-@pytest.mark.asyncio
-async def test_delete_operation_field_headers_async():
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.DeleteOperationRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            None
-        )
-        await client.delete_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-
-def test_delete_operation_from_dict():
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = None
-
-        response = client.delete_operation(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-@pytest.mark.asyncio
-async def test_delete_operation_from_dict_async():
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            None
-        )
-        response = await client.delete_operation(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-def test_cancel_operation(transport: str = "grpc"):
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.CancelOperationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = None
-        response = client.cancel_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert response is None
-@pytest.mark.asyncio
-async def test_cancel_operation_async(transport: str = "grpc_asyncio"):
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.CancelOperationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            None
-        )
-        response = await client.cancel_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert response is None
-
-def test_cancel_operation_field_headers():
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.CancelOperationRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
-        call.return_value =  None
-
-        client.cancel_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-@pytest.mark.asyncio
-async def test_cancel_operation_field_headers_async():
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.CancelOperationRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            None
-        )
-        await client.cancel_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-
-def test_cancel_operation_from_dict():
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = None
-
-        response = client.cancel_operation(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-@pytest.mark.asyncio
-async def test_cancel_operation_from_dict_async():
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            None
-        )
-        response = await client.cancel_operation(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-def test_get_operation(transport: str = "grpc"):
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.GetOperationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation()
-        response = client.get_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, operations_pb2.Operation)
-@pytest.mark.asyncio
-async def test_get_operation_async(transport: str = "grpc_asyncio"):
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.GetOperationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation()
-        )
-        response = await client.get_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, operations_pb2.Operation)
-
-def test_get_operation_field_headers():
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.GetOperationRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        call.return_value = operations_pb2.Operation()
-
-        client.get_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-@pytest.mark.asyncio
-async def test_get_operation_field_headers_async():
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.GetOperationRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation()
-        )
-        await client.get_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-
-def test_get_operation_from_dict():
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation()
-
-        response = client.get_operation(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-@pytest.mark.asyncio
-async def test_get_operation_from_dict_async():
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation()
-        )
-        response = await client.get_operation(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-def test_list_operations(transport: str = "grpc"):
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.ListOperationsRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.ListOperationsResponse()
-        response = client.list_operations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, operations_pb2.ListOperationsResponse)
-@pytest.mark.asyncio
-async def test_list_operations_async(transport: str = "grpc_asyncio"):
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.ListOperationsRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.ListOperationsResponse()
-        )
-        response = await client.list_operations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, operations_pb2.ListOperationsResponse)
-
-def test_list_operations_field_headers():
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.ListOperationsRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        call.return_value = operations_pb2.ListOperationsResponse()
-
-        client.list_operations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-@pytest.mark.asyncio
-async def test_list_operations_field_headers_async():
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.ListOperationsRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.ListOperationsResponse()
-        )
-        await client.list_operations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-
-def test_list_operations_from_dict():
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.ListOperationsResponse()
-
-        response = client.list_operations(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-@pytest.mark.asyncio
-async def test_list_operations_from_dict_async():
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.ListOperationsResponse()
-        )
-        response = await client.list_operations(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-def test_list_locations(transport: str = "grpc"):
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = locations_pb2.ListLocationsRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = locations_pb2.ListLocationsResponse()
-        response = client.list_locations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, locations_pb2.ListLocationsResponse)
-@pytest.mark.asyncio
-async def test_list_locations_async(transport: str = "grpc_asyncio"):
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = locations_pb2.ListLocationsRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            locations_pb2.ListLocationsResponse()
-        )
-        response = await client.list_locations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, locations_pb2.ListLocationsResponse)
-
-def test_list_locations_field_headers():
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = locations_pb2.ListLocationsRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
-        call.return_value = locations_pb2.ListLocationsResponse()
-
-        client.list_locations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-@pytest.mark.asyncio
-async def test_list_locations_field_headers_async():
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = locations_pb2.ListLocationsRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            locations_pb2.ListLocationsResponse()
-        )
-        await client.list_locations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-
-def test_list_locations_from_dict():
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = locations_pb2.ListLocationsResponse()
-
-        response = client.list_locations(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-@pytest.mark.asyncio
-async def test_list_locations_from_dict_async():
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            locations_pb2.ListLocationsResponse()
-        )
-        response = await client.list_locations(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-def test_get_location(transport: str = "grpc"):
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = locations_pb2.GetLocationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_location), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = locations_pb2.Location()
-        response = client.get_location(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, locations_pb2.Location)
-@pytest.mark.asyncio
-async def test_get_location_async(transport: str = "grpc_asyncio"):
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = locations_pb2.GetLocationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_location), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            locations_pb2.Location()
-        )
-        response = await client.get_location(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, locations_pb2.Location)
-
-def test_get_location_field_headers():
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials())
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = locations_pb2.GetLocationRequest()
-    request.name = "locations/abc"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_location), "__call__") as call:
-        call.return_value = locations_pb2.Location()
-
-        client.get_location(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations/abc",) in kw["metadata"]
-@pytest.mark.asyncio
-async def test_get_location_field_headers_async():
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials()
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = locations_pb2.GetLocationRequest()
-    request.name = "locations/abc"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_location), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            locations_pb2.Location()
-        )
-        await client.get_location(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations/abc",) in kw["metadata"]
-
-def test_get_location_from_dict():
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = locations_pb2.Location()
-
-        response = client.get_location(
-            request={
-                "name": "locations/abc",
-            }
-        )
-        call.assert_called()
-@pytest.mark.asyncio
-async def test_get_location_from_dict_async():
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            locations_pb2.Location()
-        )
-        response = await client.get_location(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-def test_transport_close_grpc():
-    client = ContentServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc"
-    )
-    with mock.patch.object(type(getattr(client.transport, "_grpc_channel")), "close") as close:
-        with client:
-            close.assert_not_called()
-        close.assert_called_once()
-
-
-@pytest.mark.asyncio
-async def test_transport_close_grpc_asyncio():
-    client = ContentServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio"
-    )
-    with mock.patch.object(type(getattr(client.transport, "_grpc_channel")), "close") as close:
-        async with client:
-            close.assert_not_called()
-        close.assert_called_once()
-
-
-def test_client_ctx():
-    transports = [
-        'grpc',
-    ]
-    for transport in transports:
-        client = ContentServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport=transport
-        )
-        # Test client calls underlying transport.
-        with mock.patch.object(type(client.transport), "close") as close:
-            close.assert_not_called()
-            with client:
-                pass
-            close.assert_called()
-
-@pytest.mark.parametrize("client_class,transport_class", [
-    (ContentServiceClient, transports.ContentServiceGrpcTransport),
-    (ContentServiceAsyncClient, transports.ContentServiceGrpcAsyncIOTransport),
-])
-def test_api_key_credentials(client_class, transport_class):
-    with mock.patch.object(
-        google.auth._default, "get_api_key_credentials", create=True
-    ) as get_api_key_credentials:
-        mock_cred = mock.Mock()
-        get_api_key_credentials.return_value = mock_cred
-        options = client_options.ClientOptions()
-        options.api_key = "api_key"
-        with mock.patch.object(transport_class, "__init__") as patched:
-            patched.return_value = None
-            client = client_class(client_options=options)
-            patched.assert_called_once_with(
-                credentials=mock_cred,
-                credentials_file=None,
-                host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
-                scopes=None,
-                client_cert_source_for_mtls=None,
-                quota_project_id=None,
-                client_info=transports.base.DEFAULT_CLIENT_INFO,
-                always_use_jwt_access=True,
-                api_audience=None,
-            )
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/tests/unit/gapic/dataplex_v1/test_data_scan_service.py b/owl-bot-staging/google-cloud-dataplex/v1/tests/unit/gapic/dataplex_v1/test_data_scan_service.py
deleted file mode 100644
index 04fa20e609a4..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/tests/unit/gapic/dataplex_v1/test_data_scan_service.py
+++ /dev/null
@@ -1,6013 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-import os
-# try/except added for compatibility with python < 3.8
-try:
-    from unittest import mock
-    from unittest.mock import AsyncMock  # pragma: NO COVER
-except ImportError:  # pragma: NO COVER
-    import mock
-
-import grpc
-from grpc.experimental import aio
-import math
-import pytest
-from google.api_core import api_core_version
-from proto.marshal.rules.dates import DurationRule, TimestampRule
-from proto.marshal.rules import wrappers
-
-try:
-    from google.auth.aio import credentials as ga_credentials_async
-    HAS_GOOGLE_AUTH_AIO = True
-except ImportError: # pragma: NO COVER
-    HAS_GOOGLE_AUTH_AIO = False
-
-from google.api_core import client_options
-from google.api_core import exceptions as core_exceptions
-from google.api_core import future
-from google.api_core import gapic_v1
-from google.api_core import grpc_helpers
-from google.api_core import grpc_helpers_async
-from google.api_core import operation
-from google.api_core import operation_async  # type: ignore
-from google.api_core import operations_v1
-from google.api_core import path_template
-from google.api_core import retry as retries
-from google.auth import credentials as ga_credentials
-from google.auth.exceptions import MutualTLSChannelError
-from google.cloud.dataplex_v1.services.data_scan_service import DataScanServiceAsyncClient
-from google.cloud.dataplex_v1.services.data_scan_service import DataScanServiceClient
-from google.cloud.dataplex_v1.services.data_scan_service import pagers
-from google.cloud.dataplex_v1.services.data_scan_service import transports
-from google.cloud.dataplex_v1.types import data_discovery
-from google.cloud.dataplex_v1.types import data_profile
-from google.cloud.dataplex_v1.types import data_quality
-from google.cloud.dataplex_v1.types import datascans
-from google.cloud.dataplex_v1.types import processing
-from google.cloud.dataplex_v1.types import resources
-from google.cloud.dataplex_v1.types import service
-from google.cloud.location import locations_pb2
-from google.iam.v1 import iam_policy_pb2  # type: ignore
-from google.iam.v1 import options_pb2  # type: ignore
-from google.iam.v1 import policy_pb2  # type: ignore
-from google.longrunning import operations_pb2 # type: ignore
-from google.oauth2 import service_account
-from google.protobuf import empty_pb2  # type: ignore
-from google.protobuf import field_mask_pb2  # type: ignore
-from google.protobuf import timestamp_pb2  # type: ignore
-import google.auth
-
-
-async def mock_async_gen(data, chunk_size=1):
-    for i in range(0, len(data)):  # pragma: NO COVER
-        chunk = data[i : i + chunk_size]
-        yield chunk.encode("utf-8")
-
-def client_cert_source_callback():
-    return b"cert bytes", b"key bytes"
-
-# TODO: use async auth anon credentials by default once the minimum version of google-auth is upgraded.
-# See related issue: https://github.com/googleapis/gapic-generator-python/issues/2107.
-def async_anonymous_credentials():
-    if HAS_GOOGLE_AUTH_AIO:
-        return ga_credentials_async.AnonymousCredentials()
-    return ga_credentials.AnonymousCredentials()
-
-# If default endpoint is localhost, then default mtls endpoint will be the same.
-# This method modifies the default endpoint so the client can produce a different
-# mtls endpoint for endpoint testing purposes.
-def modify_default_endpoint(client):
-    return "foo.googleapis.com" if ("localhost" in client.DEFAULT_ENDPOINT) else client.DEFAULT_ENDPOINT
-
-# If default endpoint template is localhost, then default mtls endpoint will be the same.
-# This method modifies the default endpoint template so the client can produce a different
-# mtls endpoint for endpoint testing purposes.
-def modify_default_endpoint_template(client):
-    return "test.{UNIVERSE_DOMAIN}" if ("localhost" in client._DEFAULT_ENDPOINT_TEMPLATE) else client._DEFAULT_ENDPOINT_TEMPLATE
-
-
-def test__get_default_mtls_endpoint():
-    api_endpoint = "example.googleapis.com"
-    api_mtls_endpoint = "example.mtls.googleapis.com"
-    sandbox_endpoint = "example.sandbox.googleapis.com"
-    sandbox_mtls_endpoint = "example.mtls.sandbox.googleapis.com"
-    non_googleapi = "api.example.com"
-
-    assert DataScanServiceClient._get_default_mtls_endpoint(None) is None
-    assert DataScanServiceClient._get_default_mtls_endpoint(api_endpoint) == api_mtls_endpoint
-    assert DataScanServiceClient._get_default_mtls_endpoint(api_mtls_endpoint) == api_mtls_endpoint
-    assert DataScanServiceClient._get_default_mtls_endpoint(sandbox_endpoint) == sandbox_mtls_endpoint
-    assert DataScanServiceClient._get_default_mtls_endpoint(sandbox_mtls_endpoint) == sandbox_mtls_endpoint
-    assert DataScanServiceClient._get_default_mtls_endpoint(non_googleapi) == non_googleapi
-
-def test__read_environment_variables():
-    assert DataScanServiceClient._read_environment_variables() == (False, "auto", None)
-
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
-        assert DataScanServiceClient._read_environment_variables() == (True, "auto", None)
-
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "false"}):
-        assert DataScanServiceClient._read_environment_variables() == (False, "auto", None)
-
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}):
-        with pytest.raises(ValueError) as excinfo:
-            DataScanServiceClient._read_environment_variables()
-    assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`"
-
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
-        assert DataScanServiceClient._read_environment_variables() == (False, "never", None)
-
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
-        assert DataScanServiceClient._read_environment_variables() == (False, "always", None)
-
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "auto"}):
-        assert DataScanServiceClient._read_environment_variables() == (False, "auto", None)
-
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}):
-        with pytest.raises(MutualTLSChannelError) as excinfo:
-            DataScanServiceClient._read_environment_variables()
-    assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`"
-
-    with mock.patch.dict(os.environ, {"GOOGLE_CLOUD_UNIVERSE_DOMAIN": "foo.com"}):
-        assert DataScanServiceClient._read_environment_variables() == (False, "auto", "foo.com")
-
-def test__get_client_cert_source():
-    mock_provided_cert_source = mock.Mock()
-    mock_default_cert_source = mock.Mock()
-
-    assert DataScanServiceClient._get_client_cert_source(None, False) is None
-    assert DataScanServiceClient._get_client_cert_source(mock_provided_cert_source, False) is None
-    assert DataScanServiceClient._get_client_cert_source(mock_provided_cert_source, True) == mock_provided_cert_source
-
-    with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True):
-        with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=mock_default_cert_source):
-            assert DataScanServiceClient._get_client_cert_source(None, True) is mock_default_cert_source
-            assert DataScanServiceClient._get_client_cert_source(mock_provided_cert_source, "true") is mock_provided_cert_source
-
-@mock.patch.object(DataScanServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DataScanServiceClient))
-@mock.patch.object(DataScanServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DataScanServiceAsyncClient))
-def test__get_api_endpoint():
-    api_override = "foo.com"
-    mock_client_cert_source = mock.Mock()
-    default_universe = DataScanServiceClient._DEFAULT_UNIVERSE
-    default_endpoint = DataScanServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=default_universe)
-    mock_universe = "bar.com"
-    mock_endpoint = DataScanServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=mock_universe)
-
-    assert DataScanServiceClient._get_api_endpoint(api_override, mock_client_cert_source, default_universe, "always") == api_override
-    assert DataScanServiceClient._get_api_endpoint(None, mock_client_cert_source, default_universe, "auto") == DataScanServiceClient.DEFAULT_MTLS_ENDPOINT
-    assert DataScanServiceClient._get_api_endpoint(None, None, default_universe, "auto") == default_endpoint
-    assert DataScanServiceClient._get_api_endpoint(None, None, default_universe, "always") == DataScanServiceClient.DEFAULT_MTLS_ENDPOINT
-    assert DataScanServiceClient._get_api_endpoint(None, mock_client_cert_source, default_universe, "always") == DataScanServiceClient.DEFAULT_MTLS_ENDPOINT
-    assert DataScanServiceClient._get_api_endpoint(None, None, mock_universe, "never") == mock_endpoint
-    assert DataScanServiceClient._get_api_endpoint(None, None, default_universe, "never") == default_endpoint
-
-    with pytest.raises(MutualTLSChannelError) as excinfo:
-        DataScanServiceClient._get_api_endpoint(None, mock_client_cert_source, mock_universe, "auto")
-    assert str(excinfo.value) == "mTLS is not supported in any universe other than googleapis.com."
-
-
-def test__get_universe_domain():
-    client_universe_domain = "foo.com"
-    universe_domain_env = "bar.com"
-
-    assert DataScanServiceClient._get_universe_domain(client_universe_domain, universe_domain_env) == client_universe_domain
-    assert DataScanServiceClient._get_universe_domain(None, universe_domain_env) == universe_domain_env
-    assert DataScanServiceClient._get_universe_domain(None, None) == DataScanServiceClient._DEFAULT_UNIVERSE
-
-    with pytest.raises(ValueError) as excinfo:
-        DataScanServiceClient._get_universe_domain("", None)
-    assert str(excinfo.value) == "Universe Domain cannot be an empty string."
-
-
-@pytest.mark.parametrize("client_class,transport_name", [
-    (DataScanServiceClient, "grpc"),
-    (DataScanServiceAsyncClient, "grpc_asyncio"),
-])
-def test_data_scan_service_client_from_service_account_info(client_class, transport_name):
-    creds = ga_credentials.AnonymousCredentials()
-    with mock.patch.object(service_account.Credentials, 'from_service_account_info') as factory:
-        factory.return_value = creds
-        info = {"valid": True}
-        client = client_class.from_service_account_info(info, transport=transport_name)
-        assert client.transport._credentials == creds
-        assert isinstance(client, client_class)
-
-        assert client.transport._host == (
-            'dataplex.googleapis.com:443'
-        )
-
-
-@pytest.mark.parametrize("transport_class,transport_name", [
-    (transports.DataScanServiceGrpcTransport, "grpc"),
-    (transports.DataScanServiceGrpcAsyncIOTransport, "grpc_asyncio"),
-])
-def test_data_scan_service_client_service_account_always_use_jwt(transport_class, transport_name):
-    with mock.patch.object(service_account.Credentials, 'with_always_use_jwt_access', create=True) as use_jwt:
-        creds = service_account.Credentials(None, None, None)
-        transport = transport_class(credentials=creds, always_use_jwt_access=True)
-        use_jwt.assert_called_once_with(True)
-
-    with mock.patch.object(service_account.Credentials, 'with_always_use_jwt_access', create=True) as use_jwt:
-        creds = service_account.Credentials(None, None, None)
-        transport = transport_class(credentials=creds, always_use_jwt_access=False)
-        use_jwt.assert_not_called()
-
-
-@pytest.mark.parametrize("client_class,transport_name", [
-    (DataScanServiceClient, "grpc"),
-    (DataScanServiceAsyncClient, "grpc_asyncio"),
-])
-def test_data_scan_service_client_from_service_account_file(client_class, transport_name):
-    creds = ga_credentials.AnonymousCredentials()
-    with mock.patch.object(service_account.Credentials, 'from_service_account_file') as factory:
-        factory.return_value = creds
-        client = client_class.from_service_account_file("dummy/file/path.json", transport=transport_name)
-        assert client.transport._credentials == creds
-        assert isinstance(client, client_class)
-
-        client = client_class.from_service_account_json("dummy/file/path.json", transport=transport_name)
-        assert client.transport._credentials == creds
-        assert isinstance(client, client_class)
-
-        assert client.transport._host == (
-            'dataplex.googleapis.com:443'
-        )
-
-
-def test_data_scan_service_client_get_transport_class():
-    transport = DataScanServiceClient.get_transport_class()
-    available_transports = [
-        transports.DataScanServiceGrpcTransport,
-    ]
-    assert transport in available_transports
-
-    transport = DataScanServiceClient.get_transport_class("grpc")
-    assert transport == transports.DataScanServiceGrpcTransport
-
-
-@pytest.mark.parametrize("client_class,transport_class,transport_name", [
-    (DataScanServiceClient, transports.DataScanServiceGrpcTransport, "grpc"),
-    (DataScanServiceAsyncClient, transports.DataScanServiceGrpcAsyncIOTransport, "grpc_asyncio"),
-])
-@mock.patch.object(DataScanServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DataScanServiceClient))
-@mock.patch.object(DataScanServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DataScanServiceAsyncClient))
-def test_data_scan_service_client_client_options(client_class, transport_class, transport_name):
-    # Check that if channel is provided we won't create a new one.
-    with mock.patch.object(DataScanServiceClient, 'get_transport_class') as gtc:
-        transport = transport_class(
-            credentials=ga_credentials.AnonymousCredentials()
-        )
-        client = client_class(transport=transport)
-        gtc.assert_not_called()
-
-    # Check that if channel is provided via str we will create a new one.
-    with mock.patch.object(DataScanServiceClient, 'get_transport_class') as gtc:
-        client = client_class(transport=transport_name)
-        gtc.assert_called()
-
-    # Check the case api_endpoint is provided.
-    options = client_options.ClientOptions(api_endpoint="squid.clam.whelk")
-    with mock.patch.object(transport_class, '__init__') as patched:
-        patched.return_value = None
-        client = client_class(transport=transport_name, client_options=options)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file=None,
-            host="squid.clam.whelk",
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-
-    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is
-    # "never".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
-        with mock.patch.object(transport_class, '__init__') as patched:
-            patched.return_value = None
-            client = client_class(transport=transport_name)
-            patched.assert_called_once_with(
-                credentials=None,
-                credentials_file=None,
-                host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
-                scopes=None,
-                client_cert_source_for_mtls=None,
-                quota_project_id=None,
-                client_info=transports.base.DEFAULT_CLIENT_INFO,
-                always_use_jwt_access=True,
-                api_audience=None,
-            )
-
-    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is
-    # "always".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
-        with mock.patch.object(transport_class, '__init__') as patched:
-            patched.return_value = None
-            client = client_class(transport=transport_name)
-            patched.assert_called_once_with(
-                credentials=None,
-                credentials_file=None,
-                host=client.DEFAULT_MTLS_ENDPOINT,
-                scopes=None,
-                client_cert_source_for_mtls=None,
-                quota_project_id=None,
-                client_info=transports.base.DEFAULT_CLIENT_INFO,
-                always_use_jwt_access=True,
-                api_audience=None,
-            )
-
-    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT has
-    # unsupported value.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}):
-        with pytest.raises(MutualTLSChannelError) as excinfo:
-            client = client_class(transport=transport_name)
-    assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`"
-
-    # Check the case GOOGLE_API_USE_CLIENT_CERTIFICATE has unsupported value.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}):
-        with pytest.raises(ValueError) as excinfo:
-            client = client_class(transport=transport_name)
-    assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`"
-
-    # Check the case quota_project_id is provided
-    options = client_options.ClientOptions(quota_project_id="octopus")
-    with mock.patch.object(transport_class, '__init__') as patched:
-        patched.return_value = None
-        client = client_class(client_options=options, transport=transport_name)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file=None,
-            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id="octopus",
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-    # Check the case api_endpoint is provided
-    options = client_options.ClientOptions(api_audience="https://language.googleapis.com")
-    with mock.patch.object(transport_class, '__init__') as patched:
-        patched.return_value = None
-        client = client_class(client_options=options, transport=transport_name)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file=None,
-            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience="https://language.googleapis.com"
-        )
-
-@pytest.mark.parametrize("client_class,transport_class,transport_name,use_client_cert_env", [
-    (DataScanServiceClient, transports.DataScanServiceGrpcTransport, "grpc", "true"),
-    (DataScanServiceAsyncClient, transports.DataScanServiceGrpcAsyncIOTransport, "grpc_asyncio", "true"),
-    (DataScanServiceClient, transports.DataScanServiceGrpcTransport, "grpc", "false"),
-    (DataScanServiceAsyncClient, transports.DataScanServiceGrpcAsyncIOTransport, "grpc_asyncio", "false"),
-])
-@mock.patch.object(DataScanServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DataScanServiceClient))
-@mock.patch.object(DataScanServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DataScanServiceAsyncClient))
-@mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "auto"})
-def test_data_scan_service_client_mtls_env_auto(client_class, transport_class, transport_name, use_client_cert_env):
-    # This tests the endpoint autoswitch behavior. Endpoint is autoswitched to the default
-    # mtls endpoint, if GOOGLE_API_USE_CLIENT_CERTIFICATE is "true" and client cert exists.
-
-    # Check the case client_cert_source is provided. Whether client cert is used depends on
-    # GOOGLE_API_USE_CLIENT_CERTIFICATE value.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}):
-        options = client_options.ClientOptions(client_cert_source=client_cert_source_callback)
-        with mock.patch.object(transport_class, '__init__') as patched:
-            patched.return_value = None
-            client = client_class(client_options=options, transport=transport_name)
-
-            if use_client_cert_env == "false":
-                expected_client_cert_source = None
-                expected_host = client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE)
-            else:
-                expected_client_cert_source = client_cert_source_callback
-                expected_host = client.DEFAULT_MTLS_ENDPOINT
-
-            patched.assert_called_once_with(
-                credentials=None,
-                credentials_file=None,
-                host=expected_host,
-                scopes=None,
-                client_cert_source_for_mtls=expected_client_cert_source,
-                quota_project_id=None,
-                client_info=transports.base.DEFAULT_CLIENT_INFO,
-                always_use_jwt_access=True,
-                api_audience=None,
-            )
-
-    # Check the case ADC client cert is provided. Whether client cert is used depends on
-    # GOOGLE_API_USE_CLIENT_CERTIFICATE value.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}):
-        with mock.patch.object(transport_class, '__init__') as patched:
-            with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True):
-                with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=client_cert_source_callback):
-                    if use_client_cert_env == "false":
-                        expected_host = client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE)
-                        expected_client_cert_source = None
-                    else:
-                        expected_host = client.DEFAULT_MTLS_ENDPOINT
-                        expected_client_cert_source = client_cert_source_callback
-
-                    patched.return_value = None
-                    client = client_class(transport=transport_name)
-                    patched.assert_called_once_with(
-                        credentials=None,
-                        credentials_file=None,
-                        host=expected_host,
-                        scopes=None,
-                        client_cert_source_for_mtls=expected_client_cert_source,
-                        quota_project_id=None,
-                        client_info=transports.base.DEFAULT_CLIENT_INFO,
-                        always_use_jwt_access=True,
-                        api_audience=None,
-                    )
-
-    # Check the case client_cert_source and ADC client cert are not provided.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}):
-        with mock.patch.object(transport_class, '__init__') as patched:
-            with mock.patch("google.auth.transport.mtls.has_default_client_cert_source", return_value=False):
-                patched.return_value = None
-                client = client_class(transport=transport_name)
-                patched.assert_called_once_with(
-                    credentials=None,
-                    credentials_file=None,
-                    host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
-                    scopes=None,
-                    client_cert_source_for_mtls=None,
-                    quota_project_id=None,
-                    client_info=transports.base.DEFAULT_CLIENT_INFO,
-                    always_use_jwt_access=True,
-                    api_audience=None,
-                )
-
-
-@pytest.mark.parametrize("client_class", [
-    DataScanServiceClient, DataScanServiceAsyncClient
-])
-@mock.patch.object(DataScanServiceClient, "DEFAULT_ENDPOINT", modify_default_endpoint(DataScanServiceClient))
-@mock.patch.object(DataScanServiceAsyncClient, "DEFAULT_ENDPOINT", modify_default_endpoint(DataScanServiceAsyncClient))
-def test_data_scan_service_client_get_mtls_endpoint_and_cert_source(client_class):
-    mock_client_cert_source = mock.Mock()
-
-    # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "true".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
-        mock_api_endpoint = "foo"
-        options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint)
-        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(options)
-        assert api_endpoint == mock_api_endpoint
-        assert cert_source == mock_client_cert_source
-
-    # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "false".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "false"}):
-        mock_client_cert_source = mock.Mock()
-        mock_api_endpoint = "foo"
-        options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint)
-        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(options)
-        assert api_endpoint == mock_api_endpoint
-        assert cert_source is None
-
-    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "never".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
-        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
-        assert api_endpoint == client_class.DEFAULT_ENDPOINT
-        assert cert_source is None
-
-    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "always".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
-        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
-        assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT
-        assert cert_source is None
-
-    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert doesn't exist.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
-        with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=False):
-            api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
-            assert api_endpoint == client_class.DEFAULT_ENDPOINT
-            assert cert_source is None
-
-    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert exists.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
-        with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True):
-            with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=mock_client_cert_source):
-                api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
-                assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT
-                assert cert_source == mock_client_cert_source
-
-    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT has
-    # unsupported value.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}):
-        with pytest.raises(MutualTLSChannelError) as excinfo:
-            client_class.get_mtls_endpoint_and_cert_source()
-
-        assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`"
-
-    # Check the case GOOGLE_API_USE_CLIENT_CERTIFICATE has unsupported value.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}):
-        with pytest.raises(ValueError) as excinfo:
-            client_class.get_mtls_endpoint_and_cert_source()
-
-        assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`"
-
-@pytest.mark.parametrize("client_class", [
-    DataScanServiceClient, DataScanServiceAsyncClient
-])
-@mock.patch.object(DataScanServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DataScanServiceClient))
-@mock.patch.object(DataScanServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DataScanServiceAsyncClient))
-def test_data_scan_service_client_client_api_endpoint(client_class):
-    mock_client_cert_source = client_cert_source_callback
-    api_override = "foo.com"
-    default_universe = DataScanServiceClient._DEFAULT_UNIVERSE
-    default_endpoint = DataScanServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=default_universe)
-    mock_universe = "bar.com"
-    mock_endpoint = DataScanServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=mock_universe)
-
-    # If ClientOptions.api_endpoint is set and GOOGLE_API_USE_CLIENT_CERTIFICATE="true",
-    # use ClientOptions.api_endpoint as the api endpoint regardless.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
-        with mock.patch("google.auth.transport.requests.AuthorizedSession.configure_mtls_channel"):
-            options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=api_override)
-            client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials())
-            assert client.api_endpoint == api_override
-
-    # If ClientOptions.api_endpoint is not set and GOOGLE_API_USE_MTLS_ENDPOINT="never",
-    # use the _DEFAULT_ENDPOINT_TEMPLATE populated with GDU as the api endpoint.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
-        client = client_class(credentials=ga_credentials.AnonymousCredentials())
-        assert client.api_endpoint == default_endpoint
-
-    # If ClientOptions.api_endpoint is not set and GOOGLE_API_USE_MTLS_ENDPOINT="always",
-    # use the DEFAULT_MTLS_ENDPOINT as the api endpoint.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
-        client = client_class(credentials=ga_credentials.AnonymousCredentials())
-        assert client.api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT
-
-    # If ClientOptions.api_endpoint is not set, GOOGLE_API_USE_MTLS_ENDPOINT="auto" (default),
-    # GOOGLE_API_USE_CLIENT_CERTIFICATE="false" (default), default cert source doesn't exist,
-    # and ClientOptions.universe_domain="bar.com",
-    # use the _DEFAULT_ENDPOINT_TEMPLATE populated with universe domain as the api endpoint.
-    options = client_options.ClientOptions()
-    universe_exists = hasattr(options, "universe_domain")
-    if universe_exists:
-        options = client_options.ClientOptions(universe_domain=mock_universe)
-        client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials())
-    else:
-        client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials())
-    assert client.api_endpoint == (mock_endpoint if universe_exists else default_endpoint)
-    assert client.universe_domain == (mock_universe if universe_exists else default_universe)
-
-    # If ClientOptions does not have a universe domain attribute and GOOGLE_API_USE_MTLS_ENDPOINT="never",
-    # use the _DEFAULT_ENDPOINT_TEMPLATE populated with GDU as the api endpoint.
-    options = client_options.ClientOptions()
-    if hasattr(options, "universe_domain"):
-        delattr(options, "universe_domain")
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
-        client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials())
-        assert client.api_endpoint == default_endpoint
-
-
-@pytest.mark.parametrize("client_class,transport_class,transport_name", [
-    (DataScanServiceClient, transports.DataScanServiceGrpcTransport, "grpc"),
-    (DataScanServiceAsyncClient, transports.DataScanServiceGrpcAsyncIOTransport, "grpc_asyncio"),
-])
-def test_data_scan_service_client_client_options_scopes(client_class, transport_class, transport_name):
-    # Check the case scopes are provided.
-    options = client_options.ClientOptions(
-        scopes=["1", "2"],
-    )
-    with mock.patch.object(transport_class, '__init__') as patched:
-        patched.return_value = None
-        client = client_class(client_options=options, transport=transport_name)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file=None,
-            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
-            scopes=["1", "2"],
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-
-@pytest.mark.parametrize("client_class,transport_class,transport_name,grpc_helpers", [
-    (DataScanServiceClient, transports.DataScanServiceGrpcTransport, "grpc", grpc_helpers),
-    (DataScanServiceAsyncClient, transports.DataScanServiceGrpcAsyncIOTransport, "grpc_asyncio", grpc_helpers_async),
-])
-def test_data_scan_service_client_client_options_credentials_file(client_class, transport_class, transport_name, grpc_helpers):
-    # Check the case credentials file is provided.
-    options = client_options.ClientOptions(
-        credentials_file="credentials.json"
-    )
-
-    with mock.patch.object(transport_class, '__init__') as patched:
-        patched.return_value = None
-        client = client_class(client_options=options, transport=transport_name)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file="credentials.json",
-            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-
-def test_data_scan_service_client_client_options_from_dict():
-    with mock.patch('google.cloud.dataplex_v1.services.data_scan_service.transports.DataScanServiceGrpcTransport.__init__') as grpc_transport:
-        grpc_transport.return_value = None
-        client = DataScanServiceClient(
-            client_options={'api_endpoint': 'squid.clam.whelk'}
-        )
-        grpc_transport.assert_called_once_with(
-            credentials=None,
-            credentials_file=None,
-            host="squid.clam.whelk",
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-
-
-@pytest.mark.parametrize("client_class,transport_class,transport_name,grpc_helpers", [
-    (DataScanServiceClient, transports.DataScanServiceGrpcTransport, "grpc", grpc_helpers),
-    (DataScanServiceAsyncClient, transports.DataScanServiceGrpcAsyncIOTransport, "grpc_asyncio", grpc_helpers_async),
-])
-def test_data_scan_service_client_create_channel_credentials_file(client_class, transport_class, transport_name, grpc_helpers):
-    # Check the case credentials file is provided.
-    options = client_options.ClientOptions(
-        credentials_file="credentials.json"
-    )
-
-    with mock.patch.object(transport_class, '__init__') as patched:
-        patched.return_value = None
-        client = client_class(client_options=options, transport=transport_name)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file="credentials.json",
-            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-
-    # test that the credentials from file are saved and used as the credentials.
-    with mock.patch.object(
-        google.auth, "load_credentials_from_file", autospec=True
-    ) as load_creds, mock.patch.object(
-        google.auth, "default", autospec=True
-    ) as adc, mock.patch.object(
-        grpc_helpers, "create_channel"
-    ) as create_channel:
-        creds = ga_credentials.AnonymousCredentials()
-        file_creds = ga_credentials.AnonymousCredentials()
-        load_creds.return_value = (file_creds, None)
-        adc.return_value = (creds, None)
-        client = client_class(client_options=options, transport=transport_name)
-        create_channel.assert_called_with(
-            "dataplex.googleapis.com:443",
-            credentials=file_creds,
-            credentials_file=None,
-            quota_project_id=None,
-            default_scopes=(
-                'https://www.googleapis.com/auth/cloud-platform',
-),
-            scopes=None,
-            default_host="dataplex.googleapis.com",
-            ssl_credentials=None,
-            options=[
-                ("grpc.max_send_message_length", -1),
-                ("grpc.max_receive_message_length", -1),
-            ],
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  datascans.CreateDataScanRequest,
-  dict,
-])
-def test_create_data_scan(request_type, transport: str = 'grpc'):
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_data_scan),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/spam')
-        response = client.create_data_scan(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = datascans.CreateDataScanRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-def test_create_data_scan_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = datascans.CreateDataScanRequest(
-        parent='parent_value',
-        data_scan_id='data_scan_id_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_data_scan),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.create_data_scan(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == datascans.CreateDataScanRequest(
-            parent='parent_value',
-            data_scan_id='data_scan_id_value',
-        )
-
-def test_create_data_scan_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = DataScanServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.create_data_scan in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.create_data_scan] = mock_rpc
-        request = {}
-        client.create_data_scan(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        client.create_data_scan(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_create_data_scan_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = DataScanServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.create_data_scan in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.create_data_scan] = mock_rpc
-
-        request = {}
-        await client.create_data_scan(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        await client.create_data_scan(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_create_data_scan_async(transport: str = 'grpc_asyncio', request_type=datascans.CreateDataScanRequest):
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_data_scan),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        response = await client.create_data_scan(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = datascans.CreateDataScanRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-@pytest.mark.asyncio
-async def test_create_data_scan_async_from_dict():
-    await test_create_data_scan_async(request_type=dict)
-
-def test_create_data_scan_field_headers():
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = datascans.CreateDataScanRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_data_scan),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.create_data_scan(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_create_data_scan_field_headers_async():
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = datascans.CreateDataScanRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_data_scan),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
-        await client.create_data_scan(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-def test_create_data_scan_flattened():
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_data_scan),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.create_data_scan(
-            parent='parent_value',
-            data_scan=datascans.DataScan(name='name_value'),
-            data_scan_id='data_scan_id_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-        arg = args[0].data_scan
-        mock_val = datascans.DataScan(name='name_value')
-        assert arg == mock_val
-        arg = args[0].data_scan_id
-        mock_val = 'data_scan_id_value'
-        assert arg == mock_val
-
-
-def test_create_data_scan_flattened_error():
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.create_data_scan(
-            datascans.CreateDataScanRequest(),
-            parent='parent_value',
-            data_scan=datascans.DataScan(name='name_value'),
-            data_scan_id='data_scan_id_value',
-        )
-
-@pytest.mark.asyncio
-async def test_create_data_scan_flattened_async():
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_data_scan),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.create_data_scan(
-            parent='parent_value',
-            data_scan=datascans.DataScan(name='name_value'),
-            data_scan_id='data_scan_id_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-        arg = args[0].data_scan
-        mock_val = datascans.DataScan(name='name_value')
-        assert arg == mock_val
-        arg = args[0].data_scan_id
-        mock_val = 'data_scan_id_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_create_data_scan_flattened_error_async():
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.create_data_scan(
-            datascans.CreateDataScanRequest(),
-            parent='parent_value',
-            data_scan=datascans.DataScan(name='name_value'),
-            data_scan_id='data_scan_id_value',
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  datascans.UpdateDataScanRequest,
-  dict,
-])
-def test_update_data_scan(request_type, transport: str = 'grpc'):
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_data_scan),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/spam')
-        response = client.update_data_scan(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = datascans.UpdateDataScanRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-def test_update_data_scan_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = datascans.UpdateDataScanRequest(
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_data_scan),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.update_data_scan(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == datascans.UpdateDataScanRequest(
-        )
-
-def test_update_data_scan_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = DataScanServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.update_data_scan in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.update_data_scan] = mock_rpc
-        request = {}
-        client.update_data_scan(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        client.update_data_scan(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_update_data_scan_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = DataScanServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.update_data_scan in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.update_data_scan] = mock_rpc
-
-        request = {}
-        await client.update_data_scan(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        await client.update_data_scan(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_update_data_scan_async(transport: str = 'grpc_asyncio', request_type=datascans.UpdateDataScanRequest):
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_data_scan),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        response = await client.update_data_scan(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = datascans.UpdateDataScanRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-@pytest.mark.asyncio
-async def test_update_data_scan_async_from_dict():
-    await test_update_data_scan_async(request_type=dict)
-
-def test_update_data_scan_field_headers():
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = datascans.UpdateDataScanRequest()
-
-    request.data_scan.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_data_scan),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.update_data_scan(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'data_scan.name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_update_data_scan_field_headers_async():
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = datascans.UpdateDataScanRequest()
-
-    request.data_scan.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_data_scan),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
-        await client.update_data_scan(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'data_scan.name=name_value',
-    ) in kw['metadata']
-
-
-def test_update_data_scan_flattened():
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_data_scan),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.update_data_scan(
-            data_scan=datascans.DataScan(name='name_value'),
-            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].data_scan
-        mock_val = datascans.DataScan(name='name_value')
-        assert arg == mock_val
-        arg = args[0].update_mask
-        mock_val = field_mask_pb2.FieldMask(paths=['paths_value'])
-        assert arg == mock_val
-
-
-def test_update_data_scan_flattened_error():
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.update_data_scan(
-            datascans.UpdateDataScanRequest(),
-            data_scan=datascans.DataScan(name='name_value'),
-            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
-        )
-
-@pytest.mark.asyncio
-async def test_update_data_scan_flattened_async():
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_data_scan),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.update_data_scan(
-            data_scan=datascans.DataScan(name='name_value'),
-            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].data_scan
-        mock_val = datascans.DataScan(name='name_value')
-        assert arg == mock_val
-        arg = args[0].update_mask
-        mock_val = field_mask_pb2.FieldMask(paths=['paths_value'])
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_update_data_scan_flattened_error_async():
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.update_data_scan(
-            datascans.UpdateDataScanRequest(),
-            data_scan=datascans.DataScan(name='name_value'),
-            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  datascans.DeleteDataScanRequest,
-  dict,
-])
-def test_delete_data_scan(request_type, transport: str = 'grpc'):
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_data_scan),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/spam')
-        response = client.delete_data_scan(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = datascans.DeleteDataScanRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-def test_delete_data_scan_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = datascans.DeleteDataScanRequest(
-        name='name_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_data_scan),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.delete_data_scan(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == datascans.DeleteDataScanRequest(
-            name='name_value',
-        )
-
-def test_delete_data_scan_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = DataScanServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.delete_data_scan in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.delete_data_scan] = mock_rpc
-        request = {}
-        client.delete_data_scan(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        client.delete_data_scan(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_delete_data_scan_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = DataScanServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.delete_data_scan in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.delete_data_scan] = mock_rpc
-
-        request = {}
-        await client.delete_data_scan(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        await client.delete_data_scan(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_delete_data_scan_async(transport: str = 'grpc_asyncio', request_type=datascans.DeleteDataScanRequest):
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_data_scan),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        response = await client.delete_data_scan(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = datascans.DeleteDataScanRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-@pytest.mark.asyncio
-async def test_delete_data_scan_async_from_dict():
-    await test_delete_data_scan_async(request_type=dict)
-
-def test_delete_data_scan_field_headers():
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = datascans.DeleteDataScanRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_data_scan),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.delete_data_scan(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_delete_data_scan_field_headers_async():
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = datascans.DeleteDataScanRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_data_scan),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
-        await client.delete_data_scan(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-def test_delete_data_scan_flattened():
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_data_scan),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.delete_data_scan(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-
-def test_delete_data_scan_flattened_error():
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.delete_data_scan(
-            datascans.DeleteDataScanRequest(),
-            name='name_value',
-        )
-
-@pytest.mark.asyncio
-async def test_delete_data_scan_flattened_async():
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_data_scan),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.delete_data_scan(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_delete_data_scan_flattened_error_async():
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.delete_data_scan(
-            datascans.DeleteDataScanRequest(),
-            name='name_value',
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  datascans.GetDataScanRequest,
-  dict,
-])
-def test_get_data_scan(request_type, transport: str = 'grpc'):
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_data_scan),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = datascans.DataScan(
-            name='name_value',
-            uid='uid_value',
-            description='description_value',
-            display_name='display_name_value',
-            state=resources.State.ACTIVE,
-            type_=datascans.DataScanType.DATA_QUALITY,
-        )
-        response = client.get_data_scan(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = datascans.GetDataScanRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, datascans.DataScan)
-    assert response.name == 'name_value'
-    assert response.uid == 'uid_value'
-    assert response.description == 'description_value'
-    assert response.display_name == 'display_name_value'
-    assert response.state == resources.State.ACTIVE
-    assert response.type_ == datascans.DataScanType.DATA_QUALITY
-
-
-def test_get_data_scan_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = datascans.GetDataScanRequest(
-        name='name_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_data_scan),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.get_data_scan(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == datascans.GetDataScanRequest(
-            name='name_value',
-        )
-
-def test_get_data_scan_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = DataScanServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.get_data_scan in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.get_data_scan] = mock_rpc
-        request = {}
-        client.get_data_scan(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.get_data_scan(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_get_data_scan_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = DataScanServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.get_data_scan in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.get_data_scan] = mock_rpc
-
-        request = {}
-        await client.get_data_scan(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.get_data_scan(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_get_data_scan_async(transport: str = 'grpc_asyncio', request_type=datascans.GetDataScanRequest):
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_data_scan),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(datascans.DataScan(
-            name='name_value',
-            uid='uid_value',
-            description='description_value',
-            display_name='display_name_value',
-            state=resources.State.ACTIVE,
-            type_=datascans.DataScanType.DATA_QUALITY,
-        ))
-        response = await client.get_data_scan(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = datascans.GetDataScanRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, datascans.DataScan)
-    assert response.name == 'name_value'
-    assert response.uid == 'uid_value'
-    assert response.description == 'description_value'
-    assert response.display_name == 'display_name_value'
-    assert response.state == resources.State.ACTIVE
-    assert response.type_ == datascans.DataScanType.DATA_QUALITY
-
-
-@pytest.mark.asyncio
-async def test_get_data_scan_async_from_dict():
-    await test_get_data_scan_async(request_type=dict)
-
-def test_get_data_scan_field_headers():
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = datascans.GetDataScanRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_data_scan),
-            '__call__') as call:
-        call.return_value = datascans.DataScan()
-        client.get_data_scan(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_get_data_scan_field_headers_async():
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = datascans.GetDataScanRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_data_scan),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(datascans.DataScan())
-        await client.get_data_scan(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-def test_get_data_scan_flattened():
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_data_scan),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = datascans.DataScan()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.get_data_scan(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-
-def test_get_data_scan_flattened_error():
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.get_data_scan(
-            datascans.GetDataScanRequest(),
-            name='name_value',
-        )
-
-@pytest.mark.asyncio
-async def test_get_data_scan_flattened_async():
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_data_scan),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = datascans.DataScan()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(datascans.DataScan())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.get_data_scan(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_get_data_scan_flattened_error_async():
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.get_data_scan(
-            datascans.GetDataScanRequest(),
-            name='name_value',
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  datascans.ListDataScansRequest,
-  dict,
-])
-def test_list_data_scans(request_type, transport: str = 'grpc'):
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_scans),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = datascans.ListDataScansResponse(
-            next_page_token='next_page_token_value',
-            unreachable=['unreachable_value'],
-        )
-        response = client.list_data_scans(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = datascans.ListDataScansRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListDataScansPager)
-    assert response.next_page_token == 'next_page_token_value'
-    assert response.unreachable == ['unreachable_value']
-
-
-def test_list_data_scans_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = datascans.ListDataScansRequest(
-        parent='parent_value',
-        page_token='page_token_value',
-        filter='filter_value',
-        order_by='order_by_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_scans),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.list_data_scans(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == datascans.ListDataScansRequest(
-            parent='parent_value',
-            page_token='page_token_value',
-            filter='filter_value',
-            order_by='order_by_value',
-        )
-
-def test_list_data_scans_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = DataScanServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.list_data_scans in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.list_data_scans] = mock_rpc
-        request = {}
-        client.list_data_scans(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.list_data_scans(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_list_data_scans_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = DataScanServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.list_data_scans in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.list_data_scans] = mock_rpc
-
-        request = {}
-        await client.list_data_scans(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.list_data_scans(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_list_data_scans_async(transport: str = 'grpc_asyncio', request_type=datascans.ListDataScansRequest):
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_scans),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(datascans.ListDataScansResponse(
-            next_page_token='next_page_token_value',
-            unreachable=['unreachable_value'],
-        ))
-        response = await client.list_data_scans(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = datascans.ListDataScansRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListDataScansAsyncPager)
-    assert response.next_page_token == 'next_page_token_value'
-    assert response.unreachable == ['unreachable_value']
-
-
-@pytest.mark.asyncio
-async def test_list_data_scans_async_from_dict():
-    await test_list_data_scans_async(request_type=dict)
-
-def test_list_data_scans_field_headers():
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = datascans.ListDataScansRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_scans),
-            '__call__') as call:
-        call.return_value = datascans.ListDataScansResponse()
-        client.list_data_scans(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_list_data_scans_field_headers_async():
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = datascans.ListDataScansRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_scans),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(datascans.ListDataScansResponse())
-        await client.list_data_scans(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-def test_list_data_scans_flattened():
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_scans),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = datascans.ListDataScansResponse()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.list_data_scans(
-            parent='parent_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-
-
-def test_list_data_scans_flattened_error():
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.list_data_scans(
-            datascans.ListDataScansRequest(),
-            parent='parent_value',
-        )
-
-@pytest.mark.asyncio
-async def test_list_data_scans_flattened_async():
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_scans),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = datascans.ListDataScansResponse()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(datascans.ListDataScansResponse())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.list_data_scans(
-            parent='parent_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_list_data_scans_flattened_error_async():
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.list_data_scans(
-            datascans.ListDataScansRequest(),
-            parent='parent_value',
-        )
-
-
-def test_list_data_scans_pager(transport_name: str = "grpc"):
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_scans),
-            '__call__') as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            datascans.ListDataScansResponse(
-                data_scans=[
-                    datascans.DataScan(),
-                    datascans.DataScan(),
-                    datascans.DataScan(),
-                ],
-                next_page_token='abc',
-            ),
-            datascans.ListDataScansResponse(
-                data_scans=[],
-                next_page_token='def',
-            ),
-            datascans.ListDataScansResponse(
-                data_scans=[
-                    datascans.DataScan(),
-                ],
-                next_page_token='ghi',
-            ),
-            datascans.ListDataScansResponse(
-                data_scans=[
-                    datascans.DataScan(),
-                    datascans.DataScan(),
-                ],
-            ),
-            RuntimeError,
-        )
-
-        expected_metadata = ()
-        retry = retries.Retry()
-        timeout = 5
-        expected_metadata = tuple(expected_metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ('parent', ''),
-            )),
-        )
-        pager = client.list_data_scans(request={}, retry=retry, timeout=timeout)
-
-        assert pager._metadata == expected_metadata
-        assert pager._retry == retry
-        assert pager._timeout == timeout
-
-        results = list(pager)
-        assert len(results) == 6
-        assert all(isinstance(i, datascans.DataScan)
-                   for i in results)
-def test_list_data_scans_pages(transport_name: str = "grpc"):
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_scans),
-            '__call__') as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            datascans.ListDataScansResponse(
-                data_scans=[
-                    datascans.DataScan(),
-                    datascans.DataScan(),
-                    datascans.DataScan(),
-                ],
-                next_page_token='abc',
-            ),
-            datascans.ListDataScansResponse(
-                data_scans=[],
-                next_page_token='def',
-            ),
-            datascans.ListDataScansResponse(
-                data_scans=[
-                    datascans.DataScan(),
-                ],
-                next_page_token='ghi',
-            ),
-            datascans.ListDataScansResponse(
-                data_scans=[
-                    datascans.DataScan(),
-                    datascans.DataScan(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = list(client.list_data_scans(request={}).pages)
-        for page_, token in zip(pages, ['abc','def','ghi', '']):
-            assert page_.raw_page.next_page_token == token
-
-@pytest.mark.asyncio
-async def test_list_data_scans_async_pager():
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_scans),
-            '__call__', new_callable=mock.AsyncMock) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            datascans.ListDataScansResponse(
-                data_scans=[
-                    datascans.DataScan(),
-                    datascans.DataScan(),
-                    datascans.DataScan(),
-                ],
-                next_page_token='abc',
-            ),
-            datascans.ListDataScansResponse(
-                data_scans=[],
-                next_page_token='def',
-            ),
-            datascans.ListDataScansResponse(
-                data_scans=[
-                    datascans.DataScan(),
-                ],
-                next_page_token='ghi',
-            ),
-            datascans.ListDataScansResponse(
-                data_scans=[
-                    datascans.DataScan(),
-                    datascans.DataScan(),
-                ],
-            ),
-            RuntimeError,
-        )
-        async_pager = await client.list_data_scans(request={},)
-        assert async_pager.next_page_token == 'abc'
-        responses = []
-        async for response in async_pager: # pragma: no branch
-            responses.append(response)
-
-        assert len(responses) == 6
-        assert all(isinstance(i, datascans.DataScan)
-                for i in responses)
-
-
-@pytest.mark.asyncio
-async def test_list_data_scans_async_pages():
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_scans),
-            '__call__', new_callable=mock.AsyncMock) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            datascans.ListDataScansResponse(
-                data_scans=[
-                    datascans.DataScan(),
-                    datascans.DataScan(),
-                    datascans.DataScan(),
-                ],
-                next_page_token='abc',
-            ),
-            datascans.ListDataScansResponse(
-                data_scans=[],
-                next_page_token='def',
-            ),
-            datascans.ListDataScansResponse(
-                data_scans=[
-                    datascans.DataScan(),
-                ],
-                next_page_token='ghi',
-            ),
-            datascans.ListDataScansResponse(
-                data_scans=[
-                    datascans.DataScan(),
-                    datascans.DataScan(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = []
-        # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch`
-        # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372
-        async for page_ in ( # pragma: no branch
-            await client.list_data_scans(request={})
-        ).pages:
-            pages.append(page_)
-        for page_, token in zip(pages, ['abc','def','ghi', '']):
-            assert page_.raw_page.next_page_token == token
-
-@pytest.mark.parametrize("request_type", [
-  datascans.RunDataScanRequest,
-  dict,
-])
-def test_run_data_scan(request_type, transport: str = 'grpc'):
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.run_data_scan),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = datascans.RunDataScanResponse(
-        )
-        response = client.run_data_scan(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = datascans.RunDataScanRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, datascans.RunDataScanResponse)
-
-
-def test_run_data_scan_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = datascans.RunDataScanRequest(
-        name='name_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.run_data_scan),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.run_data_scan(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == datascans.RunDataScanRequest(
-            name='name_value',
-        )
-
-def test_run_data_scan_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = DataScanServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.run_data_scan in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.run_data_scan] = mock_rpc
-        request = {}
-        client.run_data_scan(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.run_data_scan(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_run_data_scan_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = DataScanServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.run_data_scan in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.run_data_scan] = mock_rpc
-
-        request = {}
-        await client.run_data_scan(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.run_data_scan(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_run_data_scan_async(transport: str = 'grpc_asyncio', request_type=datascans.RunDataScanRequest):
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.run_data_scan),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(datascans.RunDataScanResponse(
-        ))
-        response = await client.run_data_scan(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = datascans.RunDataScanRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, datascans.RunDataScanResponse)
-
-
-@pytest.mark.asyncio
-async def test_run_data_scan_async_from_dict():
-    await test_run_data_scan_async(request_type=dict)
-
-def test_run_data_scan_field_headers():
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = datascans.RunDataScanRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.run_data_scan),
-            '__call__') as call:
-        call.return_value = datascans.RunDataScanResponse()
-        client.run_data_scan(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_run_data_scan_field_headers_async():
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = datascans.RunDataScanRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.run_data_scan),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(datascans.RunDataScanResponse())
-        await client.run_data_scan(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-def test_run_data_scan_flattened():
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.run_data_scan),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = datascans.RunDataScanResponse()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.run_data_scan(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-
-def test_run_data_scan_flattened_error():
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.run_data_scan(
-            datascans.RunDataScanRequest(),
-            name='name_value',
-        )
-
-@pytest.mark.asyncio
-async def test_run_data_scan_flattened_async():
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.run_data_scan),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = datascans.RunDataScanResponse()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(datascans.RunDataScanResponse())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.run_data_scan(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_run_data_scan_flattened_error_async():
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.run_data_scan(
-            datascans.RunDataScanRequest(),
-            name='name_value',
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  datascans.GetDataScanJobRequest,
-  dict,
-])
-def test_get_data_scan_job(request_type, transport: str = 'grpc'):
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_data_scan_job),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = datascans.DataScanJob(
-            name='name_value',
-            uid='uid_value',
-            state=datascans.DataScanJob.State.RUNNING,
-            message='message_value',
-            type_=datascans.DataScanType.DATA_QUALITY,
-        )
-        response = client.get_data_scan_job(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = datascans.GetDataScanJobRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, datascans.DataScanJob)
-    assert response.name == 'name_value'
-    assert response.uid == 'uid_value'
-    assert response.state == datascans.DataScanJob.State.RUNNING
-    assert response.message == 'message_value'
-    assert response.type_ == datascans.DataScanType.DATA_QUALITY
-
-
-def test_get_data_scan_job_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = datascans.GetDataScanJobRequest(
-        name='name_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_data_scan_job),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.get_data_scan_job(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == datascans.GetDataScanJobRequest(
-            name='name_value',
-        )
-
-def test_get_data_scan_job_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = DataScanServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.get_data_scan_job in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.get_data_scan_job] = mock_rpc
-        request = {}
-        client.get_data_scan_job(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.get_data_scan_job(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_get_data_scan_job_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = DataScanServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.get_data_scan_job in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.get_data_scan_job] = mock_rpc
-
-        request = {}
-        await client.get_data_scan_job(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.get_data_scan_job(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_get_data_scan_job_async(transport: str = 'grpc_asyncio', request_type=datascans.GetDataScanJobRequest):
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_data_scan_job),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(datascans.DataScanJob(
-            name='name_value',
-            uid='uid_value',
-            state=datascans.DataScanJob.State.RUNNING,
-            message='message_value',
-            type_=datascans.DataScanType.DATA_QUALITY,
-        ))
-        response = await client.get_data_scan_job(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = datascans.GetDataScanJobRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, datascans.DataScanJob)
-    assert response.name == 'name_value'
-    assert response.uid == 'uid_value'
-    assert response.state == datascans.DataScanJob.State.RUNNING
-    assert response.message == 'message_value'
-    assert response.type_ == datascans.DataScanType.DATA_QUALITY
-
-
-@pytest.mark.asyncio
-async def test_get_data_scan_job_async_from_dict():
-    await test_get_data_scan_job_async(request_type=dict)
-
-def test_get_data_scan_job_field_headers():
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = datascans.GetDataScanJobRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_data_scan_job),
-            '__call__') as call:
-        call.return_value = datascans.DataScanJob()
-        client.get_data_scan_job(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_get_data_scan_job_field_headers_async():
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = datascans.GetDataScanJobRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_data_scan_job),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(datascans.DataScanJob())
-        await client.get_data_scan_job(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-def test_get_data_scan_job_flattened():
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_data_scan_job),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = datascans.DataScanJob()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.get_data_scan_job(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-
-def test_get_data_scan_job_flattened_error():
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.get_data_scan_job(
-            datascans.GetDataScanJobRequest(),
-            name='name_value',
-        )
-
-@pytest.mark.asyncio
-async def test_get_data_scan_job_flattened_async():
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_data_scan_job),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = datascans.DataScanJob()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(datascans.DataScanJob())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.get_data_scan_job(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_get_data_scan_job_flattened_error_async():
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.get_data_scan_job(
-            datascans.GetDataScanJobRequest(),
-            name='name_value',
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  datascans.ListDataScanJobsRequest,
-  dict,
-])
-def test_list_data_scan_jobs(request_type, transport: str = 'grpc'):
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_scan_jobs),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = datascans.ListDataScanJobsResponse(
-            next_page_token='next_page_token_value',
-        )
-        response = client.list_data_scan_jobs(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = datascans.ListDataScanJobsRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListDataScanJobsPager)
-    assert response.next_page_token == 'next_page_token_value'
-
-
-def test_list_data_scan_jobs_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = datascans.ListDataScanJobsRequest(
-        parent='parent_value',
-        page_token='page_token_value',
-        filter='filter_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_scan_jobs),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.list_data_scan_jobs(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == datascans.ListDataScanJobsRequest(
-            parent='parent_value',
-            page_token='page_token_value',
-            filter='filter_value',
-        )
-
-def test_list_data_scan_jobs_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = DataScanServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.list_data_scan_jobs in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.list_data_scan_jobs] = mock_rpc
-        request = {}
-        client.list_data_scan_jobs(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.list_data_scan_jobs(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_list_data_scan_jobs_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = DataScanServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.list_data_scan_jobs in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.list_data_scan_jobs] = mock_rpc
-
-        request = {}
-        await client.list_data_scan_jobs(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.list_data_scan_jobs(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_list_data_scan_jobs_async(transport: str = 'grpc_asyncio', request_type=datascans.ListDataScanJobsRequest):
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_scan_jobs),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(datascans.ListDataScanJobsResponse(
-            next_page_token='next_page_token_value',
-        ))
-        response = await client.list_data_scan_jobs(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = datascans.ListDataScanJobsRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListDataScanJobsAsyncPager)
-    assert response.next_page_token == 'next_page_token_value'
-
-
-@pytest.mark.asyncio
-async def test_list_data_scan_jobs_async_from_dict():
-    await test_list_data_scan_jobs_async(request_type=dict)
-
-def test_list_data_scan_jobs_field_headers():
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = datascans.ListDataScanJobsRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_scan_jobs),
-            '__call__') as call:
-        call.return_value = datascans.ListDataScanJobsResponse()
-        client.list_data_scan_jobs(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_list_data_scan_jobs_field_headers_async():
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = datascans.ListDataScanJobsRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_scan_jobs),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(datascans.ListDataScanJobsResponse())
-        await client.list_data_scan_jobs(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-def test_list_data_scan_jobs_flattened():
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_scan_jobs),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = datascans.ListDataScanJobsResponse()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.list_data_scan_jobs(
-            parent='parent_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-
-
-def test_list_data_scan_jobs_flattened_error():
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.list_data_scan_jobs(
-            datascans.ListDataScanJobsRequest(),
-            parent='parent_value',
-        )
-
-@pytest.mark.asyncio
-async def test_list_data_scan_jobs_flattened_async():
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_scan_jobs),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = datascans.ListDataScanJobsResponse()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(datascans.ListDataScanJobsResponse())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.list_data_scan_jobs(
-            parent='parent_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_list_data_scan_jobs_flattened_error_async():
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.list_data_scan_jobs(
-            datascans.ListDataScanJobsRequest(),
-            parent='parent_value',
-        )
-
-
-def test_list_data_scan_jobs_pager(transport_name: str = "grpc"):
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_scan_jobs),
-            '__call__') as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            datascans.ListDataScanJobsResponse(
-                data_scan_jobs=[
-                    datascans.DataScanJob(),
-                    datascans.DataScanJob(),
-                    datascans.DataScanJob(),
-                ],
-                next_page_token='abc',
-            ),
-            datascans.ListDataScanJobsResponse(
-                data_scan_jobs=[],
-                next_page_token='def',
-            ),
-            datascans.ListDataScanJobsResponse(
-                data_scan_jobs=[
-                    datascans.DataScanJob(),
-                ],
-                next_page_token='ghi',
-            ),
-            datascans.ListDataScanJobsResponse(
-                data_scan_jobs=[
-                    datascans.DataScanJob(),
-                    datascans.DataScanJob(),
-                ],
-            ),
-            RuntimeError,
-        )
-
-        expected_metadata = ()
-        retry = retries.Retry()
-        timeout = 5
-        expected_metadata = tuple(expected_metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ('parent', ''),
-            )),
-        )
-        pager = client.list_data_scan_jobs(request={}, retry=retry, timeout=timeout)
-
-        assert pager._metadata == expected_metadata
-        assert pager._retry == retry
-        assert pager._timeout == timeout
-
-        results = list(pager)
-        assert len(results) == 6
-        assert all(isinstance(i, datascans.DataScanJob)
-                   for i in results)
-def test_list_data_scan_jobs_pages(transport_name: str = "grpc"):
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_scan_jobs),
-            '__call__') as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            datascans.ListDataScanJobsResponse(
-                data_scan_jobs=[
-                    datascans.DataScanJob(),
-                    datascans.DataScanJob(),
-                    datascans.DataScanJob(),
-                ],
-                next_page_token='abc',
-            ),
-            datascans.ListDataScanJobsResponse(
-                data_scan_jobs=[],
-                next_page_token='def',
-            ),
-            datascans.ListDataScanJobsResponse(
-                data_scan_jobs=[
-                    datascans.DataScanJob(),
-                ],
-                next_page_token='ghi',
-            ),
-            datascans.ListDataScanJobsResponse(
-                data_scan_jobs=[
-                    datascans.DataScanJob(),
-                    datascans.DataScanJob(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = list(client.list_data_scan_jobs(request={}).pages)
-        for page_, token in zip(pages, ['abc','def','ghi', '']):
-            assert page_.raw_page.next_page_token == token
-
-@pytest.mark.asyncio
-async def test_list_data_scan_jobs_async_pager():
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_scan_jobs),
-            '__call__', new_callable=mock.AsyncMock) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            datascans.ListDataScanJobsResponse(
-                data_scan_jobs=[
-                    datascans.DataScanJob(),
-                    datascans.DataScanJob(),
-                    datascans.DataScanJob(),
-                ],
-                next_page_token='abc',
-            ),
-            datascans.ListDataScanJobsResponse(
-                data_scan_jobs=[],
-                next_page_token='def',
-            ),
-            datascans.ListDataScanJobsResponse(
-                data_scan_jobs=[
-                    datascans.DataScanJob(),
-                ],
-                next_page_token='ghi',
-            ),
-            datascans.ListDataScanJobsResponse(
-                data_scan_jobs=[
-                    datascans.DataScanJob(),
-                    datascans.DataScanJob(),
-                ],
-            ),
-            RuntimeError,
-        )
-        async_pager = await client.list_data_scan_jobs(request={},)
-        assert async_pager.next_page_token == 'abc'
-        responses = []
-        async for response in async_pager: # pragma: no branch
-            responses.append(response)
-
-        assert len(responses) == 6
-        assert all(isinstance(i, datascans.DataScanJob)
-                for i in responses)
-
-
-@pytest.mark.asyncio
-async def test_list_data_scan_jobs_async_pages():
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_scan_jobs),
-            '__call__', new_callable=mock.AsyncMock) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            datascans.ListDataScanJobsResponse(
-                data_scan_jobs=[
-                    datascans.DataScanJob(),
-                    datascans.DataScanJob(),
-                    datascans.DataScanJob(),
-                ],
-                next_page_token='abc',
-            ),
-            datascans.ListDataScanJobsResponse(
-                data_scan_jobs=[],
-                next_page_token='def',
-            ),
-            datascans.ListDataScanJobsResponse(
-                data_scan_jobs=[
-                    datascans.DataScanJob(),
-                ],
-                next_page_token='ghi',
-            ),
-            datascans.ListDataScanJobsResponse(
-                data_scan_jobs=[
-                    datascans.DataScanJob(),
-                    datascans.DataScanJob(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = []
-        # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch`
-        # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372
-        async for page_ in ( # pragma: no branch
-            await client.list_data_scan_jobs(request={})
-        ).pages:
-            pages.append(page_)
-        for page_, token in zip(pages, ['abc','def','ghi', '']):
-            assert page_.raw_page.next_page_token == token
-
-@pytest.mark.parametrize("request_type", [
-  datascans.GenerateDataQualityRulesRequest,
-  dict,
-])
-def test_generate_data_quality_rules(request_type, transport: str = 'grpc'):
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.generate_data_quality_rules),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = datascans.GenerateDataQualityRulesResponse(
-        )
-        response = client.generate_data_quality_rules(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = datascans.GenerateDataQualityRulesRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, datascans.GenerateDataQualityRulesResponse)
-
-
-def test_generate_data_quality_rules_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = datascans.GenerateDataQualityRulesRequest(
-        name='name_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.generate_data_quality_rules),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.generate_data_quality_rules(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == datascans.GenerateDataQualityRulesRequest(
-            name='name_value',
-        )
-
-def test_generate_data_quality_rules_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = DataScanServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.generate_data_quality_rules in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.generate_data_quality_rules] = mock_rpc
-        request = {}
-        client.generate_data_quality_rules(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.generate_data_quality_rules(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_generate_data_quality_rules_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = DataScanServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.generate_data_quality_rules in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.generate_data_quality_rules] = mock_rpc
-
-        request = {}
-        await client.generate_data_quality_rules(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.generate_data_quality_rules(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_generate_data_quality_rules_async(transport: str = 'grpc_asyncio', request_type=datascans.GenerateDataQualityRulesRequest):
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.generate_data_quality_rules),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(datascans.GenerateDataQualityRulesResponse(
-        ))
-        response = await client.generate_data_quality_rules(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = datascans.GenerateDataQualityRulesRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, datascans.GenerateDataQualityRulesResponse)
-
-
-@pytest.mark.asyncio
-async def test_generate_data_quality_rules_async_from_dict():
-    await test_generate_data_quality_rules_async(request_type=dict)
-
-def test_generate_data_quality_rules_field_headers():
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = datascans.GenerateDataQualityRulesRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.generate_data_quality_rules),
-            '__call__') as call:
-        call.return_value = datascans.GenerateDataQualityRulesResponse()
-        client.generate_data_quality_rules(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_generate_data_quality_rules_field_headers_async():
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = datascans.GenerateDataQualityRulesRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.generate_data_quality_rules),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(datascans.GenerateDataQualityRulesResponse())
-        await client.generate_data_quality_rules(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-def test_generate_data_quality_rules_flattened():
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.generate_data_quality_rules),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = datascans.GenerateDataQualityRulesResponse()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.generate_data_quality_rules(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-
-def test_generate_data_quality_rules_flattened_error():
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.generate_data_quality_rules(
-            datascans.GenerateDataQualityRulesRequest(),
-            name='name_value',
-        )
-
-@pytest.mark.asyncio
-async def test_generate_data_quality_rules_flattened_async():
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.generate_data_quality_rules),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = datascans.GenerateDataQualityRulesResponse()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(datascans.GenerateDataQualityRulesResponse())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.generate_data_quality_rules(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_generate_data_quality_rules_flattened_error_async():
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.generate_data_quality_rules(
-            datascans.GenerateDataQualityRulesRequest(),
-            name='name_value',
-        )
-
-
-def test_credentials_transport_error():
-    # It is an error to provide credentials and a transport instance.
-    transport = transports.DataScanServiceGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    with pytest.raises(ValueError):
-        client = DataScanServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport=transport,
-        )
-
-    # It is an error to provide a credentials file and a transport instance.
-    transport = transports.DataScanServiceGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    with pytest.raises(ValueError):
-        client = DataScanServiceClient(
-            client_options={"credentials_file": "credentials.json"},
-            transport=transport,
-        )
-
-    # It is an error to provide an api_key and a transport instance.
-    transport = transports.DataScanServiceGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    options = client_options.ClientOptions()
-    options.api_key = "api_key"
-    with pytest.raises(ValueError):
-        client = DataScanServiceClient(
-            client_options=options,
-            transport=transport,
-        )
-
-    # It is an error to provide an api_key and a credential.
-    options = client_options.ClientOptions()
-    options.api_key = "api_key"
-    with pytest.raises(ValueError):
-        client = DataScanServiceClient(
-            client_options=options,
-            credentials=ga_credentials.AnonymousCredentials()
-        )
-
-    # It is an error to provide scopes and a transport instance.
-    transport = transports.DataScanServiceGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    with pytest.raises(ValueError):
-        client = DataScanServiceClient(
-            client_options={"scopes": ["1", "2"]},
-            transport=transport,
-        )
-
-
-def test_transport_instance():
-    # A client may be instantiated with a custom transport instance.
-    transport = transports.DataScanServiceGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    client = DataScanServiceClient(transport=transport)
-    assert client.transport is transport
-
-def test_transport_get_channel():
-    # A client may be instantiated with a custom transport instance.
-    transport = transports.DataScanServiceGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    channel = transport.grpc_channel
-    assert channel
-
-    transport = transports.DataScanServiceGrpcAsyncIOTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    channel = transport.grpc_channel
-    assert channel
-
-@pytest.mark.parametrize("transport_class", [
-    transports.DataScanServiceGrpcTransport,
-    transports.DataScanServiceGrpcAsyncIOTransport,
-])
-def test_transport_adc(transport_class):
-    # Test default credentials are used if not provided.
-    with mock.patch.object(google.auth, 'default') as adc:
-        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
-        transport_class()
-        adc.assert_called_once()
-
-def test_transport_kind_grpc():
-    transport = DataScanServiceClient.get_transport_class("grpc")(
-        credentials=ga_credentials.AnonymousCredentials()
-    )
-    assert transport.kind == "grpc"
-
-
-def test_initialize_client_w_grpc():
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc"
-    )
-    assert client is not None
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_create_data_scan_empty_call_grpc():
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_data_scan),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.create_data_scan(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = datascans.CreateDataScanRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_update_data_scan_empty_call_grpc():
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_data_scan),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.update_data_scan(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = datascans.UpdateDataScanRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_delete_data_scan_empty_call_grpc():
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_data_scan),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.delete_data_scan(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = datascans.DeleteDataScanRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_get_data_scan_empty_call_grpc():
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_data_scan),
-            '__call__') as call:
-        call.return_value = datascans.DataScan()
-        client.get_data_scan(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = datascans.GetDataScanRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_list_data_scans_empty_call_grpc():
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_scans),
-            '__call__') as call:
-        call.return_value = datascans.ListDataScansResponse()
-        client.list_data_scans(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = datascans.ListDataScansRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_run_data_scan_empty_call_grpc():
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.run_data_scan),
-            '__call__') as call:
-        call.return_value = datascans.RunDataScanResponse()
-        client.run_data_scan(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = datascans.RunDataScanRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_get_data_scan_job_empty_call_grpc():
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_data_scan_job),
-            '__call__') as call:
-        call.return_value = datascans.DataScanJob()
-        client.get_data_scan_job(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = datascans.GetDataScanJobRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_list_data_scan_jobs_empty_call_grpc():
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_scan_jobs),
-            '__call__') as call:
-        call.return_value = datascans.ListDataScanJobsResponse()
-        client.list_data_scan_jobs(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = datascans.ListDataScanJobsRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_generate_data_quality_rules_empty_call_grpc():
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.generate_data_quality_rules),
-            '__call__') as call:
-        call.return_value = datascans.GenerateDataQualityRulesResponse()
-        client.generate_data_quality_rules(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = datascans.GenerateDataQualityRulesRequest()
-
-        assert args[0] == request_msg
-
-
-def test_transport_kind_grpc_asyncio():
-    transport = DataScanServiceAsyncClient.get_transport_class("grpc_asyncio")(
-        credentials=async_anonymous_credentials()
-    )
-    assert transport.kind == "grpc_asyncio"
-
-
-def test_initialize_client_w_grpc_asyncio():
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio"
-    )
-    assert client is not None
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_create_data_scan_empty_call_grpc_asyncio():
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_data_scan),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        await client.create_data_scan(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = datascans.CreateDataScanRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_update_data_scan_empty_call_grpc_asyncio():
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_data_scan),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        await client.update_data_scan(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = datascans.UpdateDataScanRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_delete_data_scan_empty_call_grpc_asyncio():
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_data_scan),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        await client.delete_data_scan(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = datascans.DeleteDataScanRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_get_data_scan_empty_call_grpc_asyncio():
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_data_scan),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(datascans.DataScan(
-            name='name_value',
-            uid='uid_value',
-            description='description_value',
-            display_name='display_name_value',
-            state=resources.State.ACTIVE,
-            type_=datascans.DataScanType.DATA_QUALITY,
-        ))
-        await client.get_data_scan(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = datascans.GetDataScanRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_list_data_scans_empty_call_grpc_asyncio():
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_scans),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(datascans.ListDataScansResponse(
-            next_page_token='next_page_token_value',
-            unreachable=['unreachable_value'],
-        ))
-        await client.list_data_scans(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = datascans.ListDataScansRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_run_data_scan_empty_call_grpc_asyncio():
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.run_data_scan),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(datascans.RunDataScanResponse(
-        ))
-        await client.run_data_scan(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = datascans.RunDataScanRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_get_data_scan_job_empty_call_grpc_asyncio():
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_data_scan_job),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(datascans.DataScanJob(
-            name='name_value',
-            uid='uid_value',
-            state=datascans.DataScanJob.State.RUNNING,
-            message='message_value',
-            type_=datascans.DataScanType.DATA_QUALITY,
-        ))
-        await client.get_data_scan_job(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = datascans.GetDataScanJobRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_list_data_scan_jobs_empty_call_grpc_asyncio():
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_scan_jobs),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(datascans.ListDataScanJobsResponse(
-            next_page_token='next_page_token_value',
-        ))
-        await client.list_data_scan_jobs(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = datascans.ListDataScanJobsRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_generate_data_quality_rules_empty_call_grpc_asyncio():
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.generate_data_quality_rules),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(datascans.GenerateDataQualityRulesResponse(
-        ))
-        await client.generate_data_quality_rules(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = datascans.GenerateDataQualityRulesRequest()
-
-        assert args[0] == request_msg
-
-
-def test_transport_grpc_default():
-    # A client should use the gRPC transport by default.
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    assert isinstance(
-        client.transport,
-        transports.DataScanServiceGrpcTransport,
-    )
-
-def test_data_scan_service_base_transport_error():
-    # Passing both a credentials object and credentials_file should raise an error
-    with pytest.raises(core_exceptions.DuplicateCredentialArgs):
-        transport = transports.DataScanServiceTransport(
-            credentials=ga_credentials.AnonymousCredentials(),
-            credentials_file="credentials.json"
-        )
-
-
-def test_data_scan_service_base_transport():
-    # Instantiate the base transport.
-    with mock.patch('google.cloud.dataplex_v1.services.data_scan_service.transports.DataScanServiceTransport.__init__') as Transport:
-        Transport.return_value = None
-        transport = transports.DataScanServiceTransport(
-            credentials=ga_credentials.AnonymousCredentials(),
-        )
-
-    # Every method on the transport should just blindly
-    # raise NotImplementedError.
-    methods = (
-        'create_data_scan',
-        'update_data_scan',
-        'delete_data_scan',
-        'get_data_scan',
-        'list_data_scans',
-        'run_data_scan',
-        'get_data_scan_job',
-        'list_data_scan_jobs',
-        'generate_data_quality_rules',
-        'get_location',
-        'list_locations',
-        'get_operation',
-        'cancel_operation',
-        'delete_operation',
-        'list_operations',
-    )
-    for method in methods:
-        with pytest.raises(NotImplementedError):
-            getattr(transport, method)(request=object())
-
-    with pytest.raises(NotImplementedError):
-        transport.close()
-
-    # Additionally, the LRO client (a property) should
-    # also raise NotImplementedError
-    with pytest.raises(NotImplementedError):
-        transport.operations_client
-
-    # Catch all for all remaining methods and properties
-    remainder = [
-        'kind',
-    ]
-    for r in remainder:
-        with pytest.raises(NotImplementedError):
-            getattr(transport, r)()
-
-
-def test_data_scan_service_base_transport_with_credentials_file():
-    # Instantiate the base transport with a credentials file
-    with mock.patch.object(google.auth, 'load_credentials_from_file', autospec=True) as load_creds, mock.patch('google.cloud.dataplex_v1.services.data_scan_service.transports.DataScanServiceTransport._prep_wrapped_messages') as Transport:
-        Transport.return_value = None
-        load_creds.return_value = (ga_credentials.AnonymousCredentials(), None)
-        transport = transports.DataScanServiceTransport(
-            credentials_file="credentials.json",
-            quota_project_id="octopus",
-        )
-        load_creds.assert_called_once_with("credentials.json",
-            scopes=None,
-            default_scopes=(
-            'https://www.googleapis.com/auth/cloud-platform',
-),
-            quota_project_id="octopus",
-        )
-
-
-def test_data_scan_service_base_transport_with_adc():
-    # Test the default credentials are used if credentials and credentials_file are None.
-    with mock.patch.object(google.auth, 'default', autospec=True) as adc, mock.patch('google.cloud.dataplex_v1.services.data_scan_service.transports.DataScanServiceTransport._prep_wrapped_messages') as Transport:
-        Transport.return_value = None
-        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
-        transport = transports.DataScanServiceTransport()
-        adc.assert_called_once()
-
-
-def test_data_scan_service_auth_adc():
-    # If no credentials are provided, we should use ADC credentials.
-    with mock.patch.object(google.auth, 'default', autospec=True) as adc:
-        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
-        DataScanServiceClient()
-        adc.assert_called_once_with(
-            scopes=None,
-            default_scopes=(
-            'https://www.googleapis.com/auth/cloud-platform',
-),
-            quota_project_id=None,
-        )
-
-
-@pytest.mark.parametrize(
-    "transport_class",
-    [
-        transports.DataScanServiceGrpcTransport,
-        transports.DataScanServiceGrpcAsyncIOTransport,
-    ],
-)
-def test_data_scan_service_transport_auth_adc(transport_class):
-    # If credentials and host are not provided, the transport class should use
-    # ADC credentials.
-    with mock.patch.object(google.auth, 'default', autospec=True) as adc:
-        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
-        transport_class(quota_project_id="octopus", scopes=["1", "2"])
-        adc.assert_called_once_with(
-            scopes=["1", "2"],
-            default_scopes=(                'https://www.googleapis.com/auth/cloud-platform',),
-            quota_project_id="octopus",
-        )
-
-
-@pytest.mark.parametrize(
-    "transport_class",
-    [
-        transports.DataScanServiceGrpcTransport,
-        transports.DataScanServiceGrpcAsyncIOTransport,
-    ],
-)
-def test_data_scan_service_transport_auth_gdch_credentials(transport_class):
-    host = 'https://language.com'
-    api_audience_tests = [None, 'https://language2.com']
-    api_audience_expect = [host, 'https://language2.com']
-    for t, e in zip(api_audience_tests, api_audience_expect):
-        with mock.patch.object(google.auth, 'default', autospec=True) as adc:
-            gdch_mock = mock.MagicMock()
-            type(gdch_mock).with_gdch_audience = mock.PropertyMock(return_value=gdch_mock)
-            adc.return_value = (gdch_mock, None)
-            transport_class(host=host, api_audience=t)
-            gdch_mock.with_gdch_audience.assert_called_once_with(
-                e
-            )
-
-
-@pytest.mark.parametrize(
-    "transport_class,grpc_helpers",
-    [
-        (transports.DataScanServiceGrpcTransport, grpc_helpers),
-        (transports.DataScanServiceGrpcAsyncIOTransport, grpc_helpers_async)
-    ],
-)
-def test_data_scan_service_transport_create_channel(transport_class, grpc_helpers):
-    # If credentials and host are not provided, the transport class should use
-    # ADC credentials.
-    with mock.patch.object(google.auth, "default", autospec=True) as adc, mock.patch.object(
-        grpc_helpers, "create_channel", autospec=True
-    ) as create_channel:
-        creds = ga_credentials.AnonymousCredentials()
-        adc.return_value = (creds, None)
-        transport_class(
-            quota_project_id="octopus",
-            scopes=["1", "2"]
-        )
-
-        create_channel.assert_called_with(
-            "dataplex.googleapis.com:443",
-            credentials=creds,
-            credentials_file=None,
-            quota_project_id="octopus",
-            default_scopes=(
-                'https://www.googleapis.com/auth/cloud-platform',
-),
-            scopes=["1", "2"],
-            default_host="dataplex.googleapis.com",
-            ssl_credentials=None,
-            options=[
-                ("grpc.max_send_message_length", -1),
-                ("grpc.max_receive_message_length", -1),
-            ],
-        )
-
-
-@pytest.mark.parametrize("transport_class", [transports.DataScanServiceGrpcTransport, transports.DataScanServiceGrpcAsyncIOTransport])
-def test_data_scan_service_grpc_transport_client_cert_source_for_mtls(
-    transport_class
-):
-    cred = ga_credentials.AnonymousCredentials()
-
-    # Check ssl_channel_credentials is used if provided.
-    with mock.patch.object(transport_class, "create_channel") as mock_create_channel:
-        mock_ssl_channel_creds = mock.Mock()
-        transport_class(
-            host="squid.clam.whelk",
-            credentials=cred,
-            ssl_channel_credentials=mock_ssl_channel_creds
-        )
-        mock_create_channel.assert_called_once_with(
-            "squid.clam.whelk:443",
-            credentials=cred,
-            credentials_file=None,
-            scopes=None,
-            ssl_credentials=mock_ssl_channel_creds,
-            quota_project_id=None,
-            options=[
-                ("grpc.max_send_message_length", -1),
-                ("grpc.max_receive_message_length", -1),
-            ],
-        )
-
-    # Check if ssl_channel_credentials is not provided, then client_cert_source_for_mtls
-    # is used.
-    with mock.patch.object(transport_class, "create_channel", return_value=mock.Mock()):
-        with mock.patch("grpc.ssl_channel_credentials") as mock_ssl_cred:
-            transport_class(
-                credentials=cred,
-                client_cert_source_for_mtls=client_cert_source_callback
-            )
-            expected_cert, expected_key = client_cert_source_callback()
-            mock_ssl_cred.assert_called_once_with(
-                certificate_chain=expected_cert,
-                private_key=expected_key
-            )
-
-
-@pytest.mark.parametrize("transport_name", [
-    "grpc",
-    "grpc_asyncio",
-])
-def test_data_scan_service_host_no_port(transport_name):
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        client_options=client_options.ClientOptions(api_endpoint='dataplex.googleapis.com'),
-         transport=transport_name,
-    )
-    assert client.transport._host == (
-        'dataplex.googleapis.com:443'
-    )
-
-@pytest.mark.parametrize("transport_name", [
-    "grpc",
-    "grpc_asyncio",
-])
-def test_data_scan_service_host_with_port(transport_name):
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        client_options=client_options.ClientOptions(api_endpoint='dataplex.googleapis.com:8000'),
-        transport=transport_name,
-    )
-    assert client.transport._host == (
-        'dataplex.googleapis.com:8000'
-    )
-
-def test_data_scan_service_grpc_transport_channel():
-    channel = grpc.secure_channel('http://localhost/', grpc.local_channel_credentials())
-
-    # Check that channel is used if provided.
-    transport = transports.DataScanServiceGrpcTransport(
-        host="squid.clam.whelk",
-        channel=channel,
-    )
-    assert transport.grpc_channel == channel
-    assert transport._host == "squid.clam.whelk:443"
-    assert transport._ssl_channel_credentials == None
-
-
-def test_data_scan_service_grpc_asyncio_transport_channel():
-    channel = aio.secure_channel('http://localhost/', grpc.local_channel_credentials())
-
-    # Check that channel is used if provided.
-    transport = transports.DataScanServiceGrpcAsyncIOTransport(
-        host="squid.clam.whelk",
-        channel=channel,
-    )
-    assert transport.grpc_channel == channel
-    assert transport._host == "squid.clam.whelk:443"
-    assert transport._ssl_channel_credentials == None
-
-
-# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are
-# removed from grpc/grpc_asyncio transport constructor.
-@pytest.mark.parametrize("transport_class", [transports.DataScanServiceGrpcTransport, transports.DataScanServiceGrpcAsyncIOTransport])
-def test_data_scan_service_transport_channel_mtls_with_client_cert_source(
-    transport_class
-):
-    with mock.patch("grpc.ssl_channel_credentials", autospec=True) as grpc_ssl_channel_cred:
-        with mock.patch.object(transport_class, "create_channel") as grpc_create_channel:
-            mock_ssl_cred = mock.Mock()
-            grpc_ssl_channel_cred.return_value = mock_ssl_cred
-
-            mock_grpc_channel = mock.Mock()
-            grpc_create_channel.return_value = mock_grpc_channel
-
-            cred = ga_credentials.AnonymousCredentials()
-            with pytest.warns(DeprecationWarning):
-                with mock.patch.object(google.auth, 'default') as adc:
-                    adc.return_value = (cred, None)
-                    transport = transport_class(
-                        host="squid.clam.whelk",
-                        api_mtls_endpoint="mtls.squid.clam.whelk",
-                        client_cert_source=client_cert_source_callback,
-                    )
-                    adc.assert_called_once()
-
-            grpc_ssl_channel_cred.assert_called_once_with(
-                certificate_chain=b"cert bytes", private_key=b"key bytes"
-            )
-            grpc_create_channel.assert_called_once_with(
-                "mtls.squid.clam.whelk:443",
-                credentials=cred,
-                credentials_file=None,
-                scopes=None,
-                ssl_credentials=mock_ssl_cred,
-                quota_project_id=None,
-                options=[
-                    ("grpc.max_send_message_length", -1),
-                    ("grpc.max_receive_message_length", -1),
-                ],
-            )
-            assert transport.grpc_channel == mock_grpc_channel
-            assert transport._ssl_channel_credentials == mock_ssl_cred
-
-
-# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are
-# removed from grpc/grpc_asyncio transport constructor.
-@pytest.mark.parametrize("transport_class", [transports.DataScanServiceGrpcTransport, transports.DataScanServiceGrpcAsyncIOTransport])
-def test_data_scan_service_transport_channel_mtls_with_adc(
-    transport_class
-):
-    mock_ssl_cred = mock.Mock()
-    with mock.patch.multiple(
-        "google.auth.transport.grpc.SslCredentials",
-        __init__=mock.Mock(return_value=None),
-        ssl_credentials=mock.PropertyMock(return_value=mock_ssl_cred),
-    ):
-        with mock.patch.object(transport_class, "create_channel") as grpc_create_channel:
-            mock_grpc_channel = mock.Mock()
-            grpc_create_channel.return_value = mock_grpc_channel
-            mock_cred = mock.Mock()
-
-            with pytest.warns(DeprecationWarning):
-                transport = transport_class(
-                    host="squid.clam.whelk",
-                    credentials=mock_cred,
-                    api_mtls_endpoint="mtls.squid.clam.whelk",
-                    client_cert_source=None,
-                )
-
-            grpc_create_channel.assert_called_once_with(
-                "mtls.squid.clam.whelk:443",
-                credentials=mock_cred,
-                credentials_file=None,
-                scopes=None,
-                ssl_credentials=mock_ssl_cred,
-                quota_project_id=None,
-                options=[
-                    ("grpc.max_send_message_length", -1),
-                    ("grpc.max_receive_message_length", -1),
-                ],
-            )
-            assert transport.grpc_channel == mock_grpc_channel
-
-
-def test_data_scan_service_grpc_lro_client():
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-    transport = client.transport
-
-    # Ensure that we have a api-core operations client.
-    assert isinstance(
-        transport.operations_client,
-        operations_v1.OperationsClient,
-    )
-
-    # Ensure that subsequent calls to the property send the exact same object.
-    assert transport.operations_client is transport.operations_client
-
-
-def test_data_scan_service_grpc_lro_async_client():
-    client = DataScanServiceAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc_asyncio',
-    )
-    transport = client.transport
-
-    # Ensure that we have a api-core operations client.
-    assert isinstance(
-        transport.operations_client,
-        operations_v1.OperationsAsyncClient,
-    )
-
-    # Ensure that subsequent calls to the property send the exact same object.
-    assert transport.operations_client is transport.operations_client
-
-
-def test_connection_path():
-    project = "squid"
-    location = "clam"
-    connection = "whelk"
-    expected = "projects/{project}/locations/{location}/connections/{connection}".format(project=project, location=location, connection=connection, )
-    actual = DataScanServiceClient.connection_path(project, location, connection)
-    assert expected == actual
-
-
-def test_parse_connection_path():
-    expected = {
-        "project": "octopus",
-        "location": "oyster",
-        "connection": "nudibranch",
-    }
-    path = DataScanServiceClient.connection_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = DataScanServiceClient.parse_connection_path(path)
-    assert expected == actual
-
-def test_data_scan_path():
-    project = "cuttlefish"
-    location = "mussel"
-    dataScan = "winkle"
-    expected = "projects/{project}/locations/{location}/dataScans/{dataScan}".format(project=project, location=location, dataScan=dataScan, )
-    actual = DataScanServiceClient.data_scan_path(project, location, dataScan)
-    assert expected == actual
-
-
-def test_parse_data_scan_path():
-    expected = {
-        "project": "nautilus",
-        "location": "scallop",
-        "dataScan": "abalone",
-    }
-    path = DataScanServiceClient.data_scan_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = DataScanServiceClient.parse_data_scan_path(path)
-    assert expected == actual
-
-def test_data_scan_job_path():
-    project = "squid"
-    location = "clam"
-    dataScan = "whelk"
-    job = "octopus"
-    expected = "projects/{project}/locations/{location}/dataScans/{dataScan}/jobs/{job}".format(project=project, location=location, dataScan=dataScan, job=job, )
-    actual = DataScanServiceClient.data_scan_job_path(project, location, dataScan, job)
-    assert expected == actual
-
-
-def test_parse_data_scan_job_path():
-    expected = {
-        "project": "oyster",
-        "location": "nudibranch",
-        "dataScan": "cuttlefish",
-        "job": "mussel",
-    }
-    path = DataScanServiceClient.data_scan_job_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = DataScanServiceClient.parse_data_scan_job_path(path)
-    assert expected == actual
-
-def test_dataset_path():
-    project = "winkle"
-    dataset = "nautilus"
-    expected = "projects/{project}/datasets/{dataset}".format(project=project, dataset=dataset, )
-    actual = DataScanServiceClient.dataset_path(project, dataset)
-    assert expected == actual
-
-
-def test_parse_dataset_path():
-    expected = {
-        "project": "scallop",
-        "dataset": "abalone",
-    }
-    path = DataScanServiceClient.dataset_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = DataScanServiceClient.parse_dataset_path(path)
-    assert expected == actual
-
-def test_entity_path():
-    project = "squid"
-    location = "clam"
-    lake = "whelk"
-    zone = "octopus"
-    entity = "oyster"
-    expected = "projects/{project}/locations/{location}/lakes/{lake}/zones/{zone}/entities/{entity}".format(project=project, location=location, lake=lake, zone=zone, entity=entity, )
-    actual = DataScanServiceClient.entity_path(project, location, lake, zone, entity)
-    assert expected == actual
-
-
-def test_parse_entity_path():
-    expected = {
-        "project": "nudibranch",
-        "location": "cuttlefish",
-        "lake": "mussel",
-        "zone": "winkle",
-        "entity": "nautilus",
-    }
-    path = DataScanServiceClient.entity_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = DataScanServiceClient.parse_entity_path(path)
-    assert expected == actual
-
-def test_common_billing_account_path():
-    billing_account = "scallop"
-    expected = "billingAccounts/{billing_account}".format(billing_account=billing_account, )
-    actual = DataScanServiceClient.common_billing_account_path(billing_account)
-    assert expected == actual
-
-
-def test_parse_common_billing_account_path():
-    expected = {
-        "billing_account": "abalone",
-    }
-    path = DataScanServiceClient.common_billing_account_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = DataScanServiceClient.parse_common_billing_account_path(path)
-    assert expected == actual
-
-def test_common_folder_path():
-    folder = "squid"
-    expected = "folders/{folder}".format(folder=folder, )
-    actual = DataScanServiceClient.common_folder_path(folder)
-    assert expected == actual
-
-
-def test_parse_common_folder_path():
-    expected = {
-        "folder": "clam",
-    }
-    path = DataScanServiceClient.common_folder_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = DataScanServiceClient.parse_common_folder_path(path)
-    assert expected == actual
-
-def test_common_organization_path():
-    organization = "whelk"
-    expected = "organizations/{organization}".format(organization=organization, )
-    actual = DataScanServiceClient.common_organization_path(organization)
-    assert expected == actual
-
-
-def test_parse_common_organization_path():
-    expected = {
-        "organization": "octopus",
-    }
-    path = DataScanServiceClient.common_organization_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = DataScanServiceClient.parse_common_organization_path(path)
-    assert expected == actual
-
-def test_common_project_path():
-    project = "oyster"
-    expected = "projects/{project}".format(project=project, )
-    actual = DataScanServiceClient.common_project_path(project)
-    assert expected == actual
-
-
-def test_parse_common_project_path():
-    expected = {
-        "project": "nudibranch",
-    }
-    path = DataScanServiceClient.common_project_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = DataScanServiceClient.parse_common_project_path(path)
-    assert expected == actual
-
-def test_common_location_path():
-    project = "cuttlefish"
-    location = "mussel"
-    expected = "projects/{project}/locations/{location}".format(project=project, location=location, )
-    actual = DataScanServiceClient.common_location_path(project, location)
-    assert expected == actual
-
-
-def test_parse_common_location_path():
-    expected = {
-        "project": "winkle",
-        "location": "nautilus",
-    }
-    path = DataScanServiceClient.common_location_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = DataScanServiceClient.parse_common_location_path(path)
-    assert expected == actual
-
-
-def test_client_with_default_client_info():
-    client_info = gapic_v1.client_info.ClientInfo()
-
-    with mock.patch.object(transports.DataScanServiceTransport, '_prep_wrapped_messages') as prep:
-        client = DataScanServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            client_info=client_info,
-        )
-        prep.assert_called_once_with(client_info)
-
-    with mock.patch.object(transports.DataScanServiceTransport, '_prep_wrapped_messages') as prep:
-        transport_class = DataScanServiceClient.get_transport_class()
-        transport = transport_class(
-            credentials=ga_credentials.AnonymousCredentials(),
-            client_info=client_info,
-        )
-        prep.assert_called_once_with(client_info)
-
-
-def test_delete_operation(transport: str = "grpc"):
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.DeleteOperationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = None
-        response = client.delete_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert response is None
-@pytest.mark.asyncio
-async def test_delete_operation_async(transport: str = "grpc_asyncio"):
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.DeleteOperationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            None
-        )
-        response = await client.delete_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert response is None
-
-def test_delete_operation_field_headers():
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.DeleteOperationRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
-        call.return_value =  None
-
-        client.delete_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-@pytest.mark.asyncio
-async def test_delete_operation_field_headers_async():
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.DeleteOperationRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            None
-        )
-        await client.delete_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-
-def test_delete_operation_from_dict():
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = None
-
-        response = client.delete_operation(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-@pytest.mark.asyncio
-async def test_delete_operation_from_dict_async():
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            None
-        )
-        response = await client.delete_operation(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-def test_cancel_operation(transport: str = "grpc"):
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.CancelOperationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = None
-        response = client.cancel_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert response is None
-@pytest.mark.asyncio
-async def test_cancel_operation_async(transport: str = "grpc_asyncio"):
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.CancelOperationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            None
-        )
-        response = await client.cancel_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert response is None
-
-def test_cancel_operation_field_headers():
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.CancelOperationRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
-        call.return_value =  None
-
-        client.cancel_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-@pytest.mark.asyncio
-async def test_cancel_operation_field_headers_async():
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.CancelOperationRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            None
-        )
-        await client.cancel_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-
-def test_cancel_operation_from_dict():
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = None
-
-        response = client.cancel_operation(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-@pytest.mark.asyncio
-async def test_cancel_operation_from_dict_async():
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            None
-        )
-        response = await client.cancel_operation(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-def test_get_operation(transport: str = "grpc"):
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.GetOperationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation()
-        response = client.get_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, operations_pb2.Operation)
-@pytest.mark.asyncio
-async def test_get_operation_async(transport: str = "grpc_asyncio"):
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.GetOperationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation()
-        )
-        response = await client.get_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, operations_pb2.Operation)
-
-def test_get_operation_field_headers():
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.GetOperationRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        call.return_value = operations_pb2.Operation()
-
-        client.get_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-@pytest.mark.asyncio
-async def test_get_operation_field_headers_async():
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.GetOperationRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation()
-        )
-        await client.get_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-
-def test_get_operation_from_dict():
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation()
-
-        response = client.get_operation(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-@pytest.mark.asyncio
-async def test_get_operation_from_dict_async():
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation()
-        )
-        response = await client.get_operation(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-def test_list_operations(transport: str = "grpc"):
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.ListOperationsRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.ListOperationsResponse()
-        response = client.list_operations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, operations_pb2.ListOperationsResponse)
-@pytest.mark.asyncio
-async def test_list_operations_async(transport: str = "grpc_asyncio"):
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.ListOperationsRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.ListOperationsResponse()
-        )
-        response = await client.list_operations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, operations_pb2.ListOperationsResponse)
-
-def test_list_operations_field_headers():
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.ListOperationsRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        call.return_value = operations_pb2.ListOperationsResponse()
-
-        client.list_operations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-@pytest.mark.asyncio
-async def test_list_operations_field_headers_async():
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.ListOperationsRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.ListOperationsResponse()
-        )
-        await client.list_operations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-
-def test_list_operations_from_dict():
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.ListOperationsResponse()
-
-        response = client.list_operations(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-@pytest.mark.asyncio
-async def test_list_operations_from_dict_async():
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.ListOperationsResponse()
-        )
-        response = await client.list_operations(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-def test_list_locations(transport: str = "grpc"):
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = locations_pb2.ListLocationsRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = locations_pb2.ListLocationsResponse()
-        response = client.list_locations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, locations_pb2.ListLocationsResponse)
-@pytest.mark.asyncio
-async def test_list_locations_async(transport: str = "grpc_asyncio"):
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = locations_pb2.ListLocationsRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            locations_pb2.ListLocationsResponse()
-        )
-        response = await client.list_locations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, locations_pb2.ListLocationsResponse)
-
-def test_list_locations_field_headers():
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = locations_pb2.ListLocationsRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
-        call.return_value = locations_pb2.ListLocationsResponse()
-
-        client.list_locations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-@pytest.mark.asyncio
-async def test_list_locations_field_headers_async():
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = locations_pb2.ListLocationsRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            locations_pb2.ListLocationsResponse()
-        )
-        await client.list_locations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-
-def test_list_locations_from_dict():
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = locations_pb2.ListLocationsResponse()
-
-        response = client.list_locations(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-@pytest.mark.asyncio
-async def test_list_locations_from_dict_async():
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            locations_pb2.ListLocationsResponse()
-        )
-        response = await client.list_locations(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-def test_get_location(transport: str = "grpc"):
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = locations_pb2.GetLocationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_location), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = locations_pb2.Location()
-        response = client.get_location(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, locations_pb2.Location)
-@pytest.mark.asyncio
-async def test_get_location_async(transport: str = "grpc_asyncio"):
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = locations_pb2.GetLocationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_location), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            locations_pb2.Location()
-        )
-        response = await client.get_location(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, locations_pb2.Location)
-
-def test_get_location_field_headers():
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials())
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = locations_pb2.GetLocationRequest()
-    request.name = "locations/abc"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_location), "__call__") as call:
-        call.return_value = locations_pb2.Location()
-
-        client.get_location(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations/abc",) in kw["metadata"]
-@pytest.mark.asyncio
-async def test_get_location_field_headers_async():
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials()
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = locations_pb2.GetLocationRequest()
-    request.name = "locations/abc"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_location), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            locations_pb2.Location()
-        )
-        await client.get_location(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations/abc",) in kw["metadata"]
-
-def test_get_location_from_dict():
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = locations_pb2.Location()
-
-        response = client.get_location(
-            request={
-                "name": "locations/abc",
-            }
-        )
-        call.assert_called()
-@pytest.mark.asyncio
-async def test_get_location_from_dict_async():
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            locations_pb2.Location()
-        )
-        response = await client.get_location(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-def test_transport_close_grpc():
-    client = DataScanServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc"
-    )
-    with mock.patch.object(type(getattr(client.transport, "_grpc_channel")), "close") as close:
-        with client:
-            close.assert_not_called()
-        close.assert_called_once()
-
-
-@pytest.mark.asyncio
-async def test_transport_close_grpc_asyncio():
-    client = DataScanServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio"
-    )
-    with mock.patch.object(type(getattr(client.transport, "_grpc_channel")), "close") as close:
-        async with client:
-            close.assert_not_called()
-        close.assert_called_once()
-
-
-def test_client_ctx():
-    transports = [
-        'grpc',
-    ]
-    for transport in transports:
-        client = DataScanServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport=transport
-        )
-        # Test client calls underlying transport.
-        with mock.patch.object(type(client.transport), "close") as close:
-            close.assert_not_called()
-            with client:
-                pass
-            close.assert_called()
-
-@pytest.mark.parametrize("client_class,transport_class", [
-    (DataScanServiceClient, transports.DataScanServiceGrpcTransport),
-    (DataScanServiceAsyncClient, transports.DataScanServiceGrpcAsyncIOTransport),
-])
-def test_api_key_credentials(client_class, transport_class):
-    with mock.patch.object(
-        google.auth._default, "get_api_key_credentials", create=True
-    ) as get_api_key_credentials:
-        mock_cred = mock.Mock()
-        get_api_key_credentials.return_value = mock_cred
-        options = client_options.ClientOptions()
-        options.api_key = "api_key"
-        with mock.patch.object(transport_class, "__init__") as patched:
-            patched.return_value = None
-            client = client_class(client_options=options)
-            patched.assert_called_once_with(
-                credentials=mock_cred,
-                credentials_file=None,
-                host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
-                scopes=None,
-                client_cert_source_for_mtls=None,
-                quota_project_id=None,
-                client_info=transports.base.DEFAULT_CLIENT_INFO,
-                always_use_jwt_access=True,
-                api_audience=None,
-            )
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/tests/unit/gapic/dataplex_v1/test_data_taxonomy_service.py b/owl-bot-staging/google-cloud-dataplex/v1/tests/unit/gapic/dataplex_v1/test_data_taxonomy_service.py
deleted file mode 100644
index 9ef5ff03519d..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/tests/unit/gapic/dataplex_v1/test_data_taxonomy_service.py
+++ /dev/null
@@ -1,8505 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-import os
-# try/except added for compatibility with python < 3.8
-try:
-    from unittest import mock
-    from unittest.mock import AsyncMock  # pragma: NO COVER
-except ImportError:  # pragma: NO COVER
-    import mock
-
-import grpc
-from grpc.experimental import aio
-import math
-import pytest
-from google.api_core import api_core_version
-from proto.marshal.rules.dates import DurationRule, TimestampRule
-from proto.marshal.rules import wrappers
-
-try:
-    from google.auth.aio import credentials as ga_credentials_async
-    HAS_GOOGLE_AUTH_AIO = True
-except ImportError: # pragma: NO COVER
-    HAS_GOOGLE_AUTH_AIO = False
-
-from google.api_core import client_options
-from google.api_core import exceptions as core_exceptions
-from google.api_core import future
-from google.api_core import gapic_v1
-from google.api_core import grpc_helpers
-from google.api_core import grpc_helpers_async
-from google.api_core import operation
-from google.api_core import operation_async  # type: ignore
-from google.api_core import operations_v1
-from google.api_core import path_template
-from google.api_core import retry as retries
-from google.auth import credentials as ga_credentials
-from google.auth.exceptions import MutualTLSChannelError
-from google.cloud.dataplex_v1.services.data_taxonomy_service import DataTaxonomyServiceAsyncClient
-from google.cloud.dataplex_v1.services.data_taxonomy_service import DataTaxonomyServiceClient
-from google.cloud.dataplex_v1.services.data_taxonomy_service import pagers
-from google.cloud.dataplex_v1.services.data_taxonomy_service import transports
-from google.cloud.dataplex_v1.types import data_taxonomy
-from google.cloud.dataplex_v1.types import data_taxonomy as gcd_data_taxonomy
-from google.cloud.dataplex_v1.types import security
-from google.cloud.dataplex_v1.types import service
-from google.cloud.location import locations_pb2
-from google.iam.v1 import iam_policy_pb2  # type: ignore
-from google.iam.v1 import options_pb2  # type: ignore
-from google.iam.v1 import policy_pb2  # type: ignore
-from google.longrunning import operations_pb2 # type: ignore
-from google.oauth2 import service_account
-from google.protobuf import empty_pb2  # type: ignore
-from google.protobuf import field_mask_pb2  # type: ignore
-from google.protobuf import timestamp_pb2  # type: ignore
-import google.auth
-
-
-async def mock_async_gen(data, chunk_size=1):
-    for i in range(0, len(data)):  # pragma: NO COVER
-        chunk = data[i : i + chunk_size]
-        yield chunk.encode("utf-8")
-
-def client_cert_source_callback():
-    return b"cert bytes", b"key bytes"
-
-# TODO: use async auth anon credentials by default once the minimum version of google-auth is upgraded.
-# See related issue: https://github.com/googleapis/gapic-generator-python/issues/2107.
-def async_anonymous_credentials():
-    if HAS_GOOGLE_AUTH_AIO:
-        return ga_credentials_async.AnonymousCredentials()
-    return ga_credentials.AnonymousCredentials()
-
-# If default endpoint is localhost, then default mtls endpoint will be the same.
-# This method modifies the default endpoint so the client can produce a different
-# mtls endpoint for endpoint testing purposes.
-def modify_default_endpoint(client):
-    return "foo.googleapis.com" if ("localhost" in client.DEFAULT_ENDPOINT) else client.DEFAULT_ENDPOINT
-
-# If default endpoint template is localhost, then default mtls endpoint will be the same.
-# This method modifies the default endpoint template so the client can produce a different
-# mtls endpoint for endpoint testing purposes.
-def modify_default_endpoint_template(client):
-    return "test.{UNIVERSE_DOMAIN}" if ("localhost" in client._DEFAULT_ENDPOINT_TEMPLATE) else client._DEFAULT_ENDPOINT_TEMPLATE
-
-
-def test__get_default_mtls_endpoint():
-    api_endpoint = "example.googleapis.com"
-    api_mtls_endpoint = "example.mtls.googleapis.com"
-    sandbox_endpoint = "example.sandbox.googleapis.com"
-    sandbox_mtls_endpoint = "example.mtls.sandbox.googleapis.com"
-    non_googleapi = "api.example.com"
-
-    assert DataTaxonomyServiceClient._get_default_mtls_endpoint(None) is None
-    assert DataTaxonomyServiceClient._get_default_mtls_endpoint(api_endpoint) == api_mtls_endpoint
-    assert DataTaxonomyServiceClient._get_default_mtls_endpoint(api_mtls_endpoint) == api_mtls_endpoint
-    assert DataTaxonomyServiceClient._get_default_mtls_endpoint(sandbox_endpoint) == sandbox_mtls_endpoint
-    assert DataTaxonomyServiceClient._get_default_mtls_endpoint(sandbox_mtls_endpoint) == sandbox_mtls_endpoint
-    assert DataTaxonomyServiceClient._get_default_mtls_endpoint(non_googleapi) == non_googleapi
-
-def test__read_environment_variables():
-    assert DataTaxonomyServiceClient._read_environment_variables() == (False, "auto", None)
-
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
-        assert DataTaxonomyServiceClient._read_environment_variables() == (True, "auto", None)
-
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "false"}):
-        assert DataTaxonomyServiceClient._read_environment_variables() == (False, "auto", None)
-
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}):
-        with pytest.raises(ValueError) as excinfo:
-            DataTaxonomyServiceClient._read_environment_variables()
-    assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`"
-
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
-        assert DataTaxonomyServiceClient._read_environment_variables() == (False, "never", None)
-
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
-        assert DataTaxonomyServiceClient._read_environment_variables() == (False, "always", None)
-
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "auto"}):
-        assert DataTaxonomyServiceClient._read_environment_variables() == (False, "auto", None)
-
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}):
-        with pytest.raises(MutualTLSChannelError) as excinfo:
-            DataTaxonomyServiceClient._read_environment_variables()
-    assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`"
-
-    with mock.patch.dict(os.environ, {"GOOGLE_CLOUD_UNIVERSE_DOMAIN": "foo.com"}):
-        assert DataTaxonomyServiceClient._read_environment_variables() == (False, "auto", "foo.com")
-
-def test__get_client_cert_source():
-    mock_provided_cert_source = mock.Mock()
-    mock_default_cert_source = mock.Mock()
-
-    assert DataTaxonomyServiceClient._get_client_cert_source(None, False) is None
-    assert DataTaxonomyServiceClient._get_client_cert_source(mock_provided_cert_source, False) is None
-    assert DataTaxonomyServiceClient._get_client_cert_source(mock_provided_cert_source, True) == mock_provided_cert_source
-
-    with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True):
-        with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=mock_default_cert_source):
-            assert DataTaxonomyServiceClient._get_client_cert_source(None, True) is mock_default_cert_source
-            assert DataTaxonomyServiceClient._get_client_cert_source(mock_provided_cert_source, "true") is mock_provided_cert_source
-
-@mock.patch.object(DataTaxonomyServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DataTaxonomyServiceClient))
-@mock.patch.object(DataTaxonomyServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DataTaxonomyServiceAsyncClient))
-def test__get_api_endpoint():
-    api_override = "foo.com"
-    mock_client_cert_source = mock.Mock()
-    default_universe = DataTaxonomyServiceClient._DEFAULT_UNIVERSE
-    default_endpoint = DataTaxonomyServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=default_universe)
-    mock_universe = "bar.com"
-    mock_endpoint = DataTaxonomyServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=mock_universe)
-
-    assert DataTaxonomyServiceClient._get_api_endpoint(api_override, mock_client_cert_source, default_universe, "always") == api_override
-    assert DataTaxonomyServiceClient._get_api_endpoint(None, mock_client_cert_source, default_universe, "auto") == DataTaxonomyServiceClient.DEFAULT_MTLS_ENDPOINT
-    assert DataTaxonomyServiceClient._get_api_endpoint(None, None, default_universe, "auto") == default_endpoint
-    assert DataTaxonomyServiceClient._get_api_endpoint(None, None, default_universe, "always") == DataTaxonomyServiceClient.DEFAULT_MTLS_ENDPOINT
-    assert DataTaxonomyServiceClient._get_api_endpoint(None, mock_client_cert_source, default_universe, "always") == DataTaxonomyServiceClient.DEFAULT_MTLS_ENDPOINT
-    assert DataTaxonomyServiceClient._get_api_endpoint(None, None, mock_universe, "never") == mock_endpoint
-    assert DataTaxonomyServiceClient._get_api_endpoint(None, None, default_universe, "never") == default_endpoint
-
-    with pytest.raises(MutualTLSChannelError) as excinfo:
-        DataTaxonomyServiceClient._get_api_endpoint(None, mock_client_cert_source, mock_universe, "auto")
-    assert str(excinfo.value) == "mTLS is not supported in any universe other than googleapis.com."
-
-
-def test__get_universe_domain():
-    client_universe_domain = "foo.com"
-    universe_domain_env = "bar.com"
-
-    assert DataTaxonomyServiceClient._get_universe_domain(client_universe_domain, universe_domain_env) == client_universe_domain
-    assert DataTaxonomyServiceClient._get_universe_domain(None, universe_domain_env) == universe_domain_env
-    assert DataTaxonomyServiceClient._get_universe_domain(None, None) == DataTaxonomyServiceClient._DEFAULT_UNIVERSE
-
-    with pytest.raises(ValueError) as excinfo:
-        DataTaxonomyServiceClient._get_universe_domain("", None)
-    assert str(excinfo.value) == "Universe Domain cannot be an empty string."
-
-
-@pytest.mark.parametrize("client_class,transport_name", [
-    (DataTaxonomyServiceClient, "grpc"),
-    (DataTaxonomyServiceAsyncClient, "grpc_asyncio"),
-])
-def test_data_taxonomy_service_client_from_service_account_info(client_class, transport_name):
-    creds = ga_credentials.AnonymousCredentials()
-    with mock.patch.object(service_account.Credentials, 'from_service_account_info') as factory:
-        factory.return_value = creds
-        info = {"valid": True}
-        client = client_class.from_service_account_info(info, transport=transport_name)
-        assert client.transport._credentials == creds
-        assert isinstance(client, client_class)
-
-        assert client.transport._host == (
-            'dataplex.googleapis.com:443'
-        )
-
-
-@pytest.mark.parametrize("transport_class,transport_name", [
-    (transports.DataTaxonomyServiceGrpcTransport, "grpc"),
-    (transports.DataTaxonomyServiceGrpcAsyncIOTransport, "grpc_asyncio"),
-])
-def test_data_taxonomy_service_client_service_account_always_use_jwt(transport_class, transport_name):
-    with mock.patch.object(service_account.Credentials, 'with_always_use_jwt_access', create=True) as use_jwt:
-        creds = service_account.Credentials(None, None, None)
-        transport = transport_class(credentials=creds, always_use_jwt_access=True)
-        use_jwt.assert_called_once_with(True)
-
-    with mock.patch.object(service_account.Credentials, 'with_always_use_jwt_access', create=True) as use_jwt:
-        creds = service_account.Credentials(None, None, None)
-        transport = transport_class(credentials=creds, always_use_jwt_access=False)
-        use_jwt.assert_not_called()
-
-
-@pytest.mark.parametrize("client_class,transport_name", [
-    (DataTaxonomyServiceClient, "grpc"),
-    (DataTaxonomyServiceAsyncClient, "grpc_asyncio"),
-])
-def test_data_taxonomy_service_client_from_service_account_file(client_class, transport_name):
-    creds = ga_credentials.AnonymousCredentials()
-    with mock.patch.object(service_account.Credentials, 'from_service_account_file') as factory:
-        factory.return_value = creds
-        client = client_class.from_service_account_file("dummy/file/path.json", transport=transport_name)
-        assert client.transport._credentials == creds
-        assert isinstance(client, client_class)
-
-        client = client_class.from_service_account_json("dummy/file/path.json", transport=transport_name)
-        assert client.transport._credentials == creds
-        assert isinstance(client, client_class)
-
-        assert client.transport._host == (
-            'dataplex.googleapis.com:443'
-        )
-
-
-def test_data_taxonomy_service_client_get_transport_class():
-    transport = DataTaxonomyServiceClient.get_transport_class()
-    available_transports = [
-        transports.DataTaxonomyServiceGrpcTransport,
-    ]
-    assert transport in available_transports
-
-    transport = DataTaxonomyServiceClient.get_transport_class("grpc")
-    assert transport == transports.DataTaxonomyServiceGrpcTransport
-
-
-@pytest.mark.parametrize("client_class,transport_class,transport_name", [
-    (DataTaxonomyServiceClient, transports.DataTaxonomyServiceGrpcTransport, "grpc"),
-    (DataTaxonomyServiceAsyncClient, transports.DataTaxonomyServiceGrpcAsyncIOTransport, "grpc_asyncio"),
-])
-@mock.patch.object(DataTaxonomyServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DataTaxonomyServiceClient))
-@mock.patch.object(DataTaxonomyServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DataTaxonomyServiceAsyncClient))
-def test_data_taxonomy_service_client_client_options(client_class, transport_class, transport_name):
-    # Check that if channel is provided we won't create a new one.
-    with mock.patch.object(DataTaxonomyServiceClient, 'get_transport_class') as gtc:
-        transport = transport_class(
-            credentials=ga_credentials.AnonymousCredentials()
-        )
-        client = client_class(transport=transport)
-        gtc.assert_not_called()
-
-    # Check that if channel is provided via str we will create a new one.
-    with mock.patch.object(DataTaxonomyServiceClient, 'get_transport_class') as gtc:
-        client = client_class(transport=transport_name)
-        gtc.assert_called()
-
-    # Check the case api_endpoint is provided.
-    options = client_options.ClientOptions(api_endpoint="squid.clam.whelk")
-    with mock.patch.object(transport_class, '__init__') as patched:
-        patched.return_value = None
-        client = client_class(transport=transport_name, client_options=options)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file=None,
-            host="squid.clam.whelk",
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-
-    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is
-    # "never".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
-        with mock.patch.object(transport_class, '__init__') as patched:
-            patched.return_value = None
-            client = client_class(transport=transport_name)
-            patched.assert_called_once_with(
-                credentials=None,
-                credentials_file=None,
-                host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
-                scopes=None,
-                client_cert_source_for_mtls=None,
-                quota_project_id=None,
-                client_info=transports.base.DEFAULT_CLIENT_INFO,
-                always_use_jwt_access=True,
-                api_audience=None,
-            )
-
-    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is
-    # "always".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
-        with mock.patch.object(transport_class, '__init__') as patched:
-            patched.return_value = None
-            client = client_class(transport=transport_name)
-            patched.assert_called_once_with(
-                credentials=None,
-                credentials_file=None,
-                host=client.DEFAULT_MTLS_ENDPOINT,
-                scopes=None,
-                client_cert_source_for_mtls=None,
-                quota_project_id=None,
-                client_info=transports.base.DEFAULT_CLIENT_INFO,
-                always_use_jwt_access=True,
-                api_audience=None,
-            )
-
-    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT has
-    # unsupported value.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}):
-        with pytest.raises(MutualTLSChannelError) as excinfo:
-            client = client_class(transport=transport_name)
-    assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`"
-
-    # Check the case GOOGLE_API_USE_CLIENT_CERTIFICATE has unsupported value.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}):
-        with pytest.raises(ValueError) as excinfo:
-            client = client_class(transport=transport_name)
-    assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`"
-
-    # Check the case quota_project_id is provided
-    options = client_options.ClientOptions(quota_project_id="octopus")
-    with mock.patch.object(transport_class, '__init__') as patched:
-        patched.return_value = None
-        client = client_class(client_options=options, transport=transport_name)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file=None,
-            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id="octopus",
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-    # Check the case api_endpoint is provided
-    options = client_options.ClientOptions(api_audience="https://language.googleapis.com")
-    with mock.patch.object(transport_class, '__init__') as patched:
-        patched.return_value = None
-        client = client_class(client_options=options, transport=transport_name)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file=None,
-            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience="https://language.googleapis.com"
-        )
-
-@pytest.mark.parametrize("client_class,transport_class,transport_name,use_client_cert_env", [
-    (DataTaxonomyServiceClient, transports.DataTaxonomyServiceGrpcTransport, "grpc", "true"),
-    (DataTaxonomyServiceAsyncClient, transports.DataTaxonomyServiceGrpcAsyncIOTransport, "grpc_asyncio", "true"),
-    (DataTaxonomyServiceClient, transports.DataTaxonomyServiceGrpcTransport, "grpc", "false"),
-    (DataTaxonomyServiceAsyncClient, transports.DataTaxonomyServiceGrpcAsyncIOTransport, "grpc_asyncio", "false"),
-])
-@mock.patch.object(DataTaxonomyServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DataTaxonomyServiceClient))
-@mock.patch.object(DataTaxonomyServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DataTaxonomyServiceAsyncClient))
-@mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "auto"})
-def test_data_taxonomy_service_client_mtls_env_auto(client_class, transport_class, transport_name, use_client_cert_env):
-    # This tests the endpoint autoswitch behavior. Endpoint is autoswitched to the default
-    # mtls endpoint, if GOOGLE_API_USE_CLIENT_CERTIFICATE is "true" and client cert exists.
-
-    # Check the case client_cert_source is provided. Whether client cert is used depends on
-    # GOOGLE_API_USE_CLIENT_CERTIFICATE value.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}):
-        options = client_options.ClientOptions(client_cert_source=client_cert_source_callback)
-        with mock.patch.object(transport_class, '__init__') as patched:
-            patched.return_value = None
-            client = client_class(client_options=options, transport=transport_name)
-
-            if use_client_cert_env == "false":
-                expected_client_cert_source = None
-                expected_host = client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE)
-            else:
-                expected_client_cert_source = client_cert_source_callback
-                expected_host = client.DEFAULT_MTLS_ENDPOINT
-
-            patched.assert_called_once_with(
-                credentials=None,
-                credentials_file=None,
-                host=expected_host,
-                scopes=None,
-                client_cert_source_for_mtls=expected_client_cert_source,
-                quota_project_id=None,
-                client_info=transports.base.DEFAULT_CLIENT_INFO,
-                always_use_jwt_access=True,
-                api_audience=None,
-            )
-
-    # Check the case ADC client cert is provided. Whether client cert is used depends on
-    # GOOGLE_API_USE_CLIENT_CERTIFICATE value.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}):
-        with mock.patch.object(transport_class, '__init__') as patched:
-            with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True):
-                with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=client_cert_source_callback):
-                    if use_client_cert_env == "false":
-                        expected_host = client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE)
-                        expected_client_cert_source = None
-                    else:
-                        expected_host = client.DEFAULT_MTLS_ENDPOINT
-                        expected_client_cert_source = client_cert_source_callback
-
-                    patched.return_value = None
-                    client = client_class(transport=transport_name)
-                    patched.assert_called_once_with(
-                        credentials=None,
-                        credentials_file=None,
-                        host=expected_host,
-                        scopes=None,
-                        client_cert_source_for_mtls=expected_client_cert_source,
-                        quota_project_id=None,
-                        client_info=transports.base.DEFAULT_CLIENT_INFO,
-                        always_use_jwt_access=True,
-                        api_audience=None,
-                    )
-
-    # Check the case client_cert_source and ADC client cert are not provided.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}):
-        with mock.patch.object(transport_class, '__init__') as patched:
-            with mock.patch("google.auth.transport.mtls.has_default_client_cert_source", return_value=False):
-                patched.return_value = None
-                client = client_class(transport=transport_name)
-                patched.assert_called_once_with(
-                    credentials=None,
-                    credentials_file=None,
-                    host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
-                    scopes=None,
-                    client_cert_source_for_mtls=None,
-                    quota_project_id=None,
-                    client_info=transports.base.DEFAULT_CLIENT_INFO,
-                    always_use_jwt_access=True,
-                    api_audience=None,
-                )
-
-
-@pytest.mark.parametrize("client_class", [
-    DataTaxonomyServiceClient, DataTaxonomyServiceAsyncClient
-])
-@mock.patch.object(DataTaxonomyServiceClient, "DEFAULT_ENDPOINT", modify_default_endpoint(DataTaxonomyServiceClient))
-@mock.patch.object(DataTaxonomyServiceAsyncClient, "DEFAULT_ENDPOINT", modify_default_endpoint(DataTaxonomyServiceAsyncClient))
-def test_data_taxonomy_service_client_get_mtls_endpoint_and_cert_source(client_class):
-    mock_client_cert_source = mock.Mock()
-
-    # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "true".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
-        mock_api_endpoint = "foo"
-        options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint)
-        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(options)
-        assert api_endpoint == mock_api_endpoint
-        assert cert_source == mock_client_cert_source
-
-    # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "false".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "false"}):
-        mock_client_cert_source = mock.Mock()
-        mock_api_endpoint = "foo"
-        options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint)
-        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(options)
-        assert api_endpoint == mock_api_endpoint
-        assert cert_source is None
-
-    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "never".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
-        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
-        assert api_endpoint == client_class.DEFAULT_ENDPOINT
-        assert cert_source is None
-
-    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "always".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
-        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
-        assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT
-        assert cert_source is None
-
-    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert doesn't exist.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
-        with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=False):
-            api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
-            assert api_endpoint == client_class.DEFAULT_ENDPOINT
-            assert cert_source is None
-
-    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert exists.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
-        with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True):
-            with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=mock_client_cert_source):
-                api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
-                assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT
-                assert cert_source == mock_client_cert_source
-
-    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT has
-    # unsupported value.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}):
-        with pytest.raises(MutualTLSChannelError) as excinfo:
-            client_class.get_mtls_endpoint_and_cert_source()
-
-        assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`"
-
-    # Check the case GOOGLE_API_USE_CLIENT_CERTIFICATE has unsupported value.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}):
-        with pytest.raises(ValueError) as excinfo:
-            client_class.get_mtls_endpoint_and_cert_source()
-
-        assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`"
-
-@pytest.mark.parametrize("client_class", [
-    DataTaxonomyServiceClient, DataTaxonomyServiceAsyncClient
-])
-@mock.patch.object(DataTaxonomyServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DataTaxonomyServiceClient))
-@mock.patch.object(DataTaxonomyServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DataTaxonomyServiceAsyncClient))
-def test_data_taxonomy_service_client_client_api_endpoint(client_class):
-    mock_client_cert_source = client_cert_source_callback
-    api_override = "foo.com"
-    default_universe = DataTaxonomyServiceClient._DEFAULT_UNIVERSE
-    default_endpoint = DataTaxonomyServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=default_universe)
-    mock_universe = "bar.com"
-    mock_endpoint = DataTaxonomyServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=mock_universe)
-
-    # If ClientOptions.api_endpoint is set and GOOGLE_API_USE_CLIENT_CERTIFICATE="true",
-    # use ClientOptions.api_endpoint as the api endpoint regardless.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
-        with mock.patch("google.auth.transport.requests.AuthorizedSession.configure_mtls_channel"):
-            options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=api_override)
-            client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials())
-            assert client.api_endpoint == api_override
-
-    # If ClientOptions.api_endpoint is not set and GOOGLE_API_USE_MTLS_ENDPOINT="never",
-    # use the _DEFAULT_ENDPOINT_TEMPLATE populated with GDU as the api endpoint.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
-        client = client_class(credentials=ga_credentials.AnonymousCredentials())
-        assert client.api_endpoint == default_endpoint
-
-    # If ClientOptions.api_endpoint is not set and GOOGLE_API_USE_MTLS_ENDPOINT="always",
-    # use the DEFAULT_MTLS_ENDPOINT as the api endpoint.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
-        client = client_class(credentials=ga_credentials.AnonymousCredentials())
-        assert client.api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT
-
-    # If ClientOptions.api_endpoint is not set, GOOGLE_API_USE_MTLS_ENDPOINT="auto" (default),
-    # GOOGLE_API_USE_CLIENT_CERTIFICATE="false" (default), default cert source doesn't exist,
-    # and ClientOptions.universe_domain="bar.com",
-    # use the _DEFAULT_ENDPOINT_TEMPLATE populated with universe domain as the api endpoint.
-    options = client_options.ClientOptions()
-    universe_exists = hasattr(options, "universe_domain")
-    if universe_exists:
-        options = client_options.ClientOptions(universe_domain=mock_universe)
-        client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials())
-    else:
-        client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials())
-    assert client.api_endpoint == (mock_endpoint if universe_exists else default_endpoint)
-    assert client.universe_domain == (mock_universe if universe_exists else default_universe)
-
-    # If ClientOptions does not have a universe domain attribute and GOOGLE_API_USE_MTLS_ENDPOINT="never",
-    # use the _DEFAULT_ENDPOINT_TEMPLATE populated with GDU as the api endpoint.
-    options = client_options.ClientOptions()
-    if hasattr(options, "universe_domain"):
-        delattr(options, "universe_domain")
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
-        client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials())
-        assert client.api_endpoint == default_endpoint
-
-
-@pytest.mark.parametrize("client_class,transport_class,transport_name", [
-    (DataTaxonomyServiceClient, transports.DataTaxonomyServiceGrpcTransport, "grpc"),
-    (DataTaxonomyServiceAsyncClient, transports.DataTaxonomyServiceGrpcAsyncIOTransport, "grpc_asyncio"),
-])
-def test_data_taxonomy_service_client_client_options_scopes(client_class, transport_class, transport_name):
-    # Check the case scopes are provided.
-    options = client_options.ClientOptions(
-        scopes=["1", "2"],
-    )
-    with mock.patch.object(transport_class, '__init__') as patched:
-        patched.return_value = None
-        client = client_class(client_options=options, transport=transport_name)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file=None,
-            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
-            scopes=["1", "2"],
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-
-@pytest.mark.parametrize("client_class,transport_class,transport_name,grpc_helpers", [
-    (DataTaxonomyServiceClient, transports.DataTaxonomyServiceGrpcTransport, "grpc", grpc_helpers),
-    (DataTaxonomyServiceAsyncClient, transports.DataTaxonomyServiceGrpcAsyncIOTransport, "grpc_asyncio", grpc_helpers_async),
-])
-def test_data_taxonomy_service_client_client_options_credentials_file(client_class, transport_class, transport_name, grpc_helpers):
-    # Check the case credentials file is provided.
-    options = client_options.ClientOptions(
-        credentials_file="credentials.json"
-    )
-
-    with mock.patch.object(transport_class, '__init__') as patched:
-        patched.return_value = None
-        client = client_class(client_options=options, transport=transport_name)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file="credentials.json",
-            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-
-def test_data_taxonomy_service_client_client_options_from_dict():
-    with mock.patch('google.cloud.dataplex_v1.services.data_taxonomy_service.transports.DataTaxonomyServiceGrpcTransport.__init__') as grpc_transport:
-        grpc_transport.return_value = None
-        client = DataTaxonomyServiceClient(
-            client_options={'api_endpoint': 'squid.clam.whelk'}
-        )
-        grpc_transport.assert_called_once_with(
-            credentials=None,
-            credentials_file=None,
-            host="squid.clam.whelk",
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-
-
-@pytest.mark.parametrize("client_class,transport_class,transport_name,grpc_helpers", [
-    (DataTaxonomyServiceClient, transports.DataTaxonomyServiceGrpcTransport, "grpc", grpc_helpers),
-    (DataTaxonomyServiceAsyncClient, transports.DataTaxonomyServiceGrpcAsyncIOTransport, "grpc_asyncio", grpc_helpers_async),
-])
-def test_data_taxonomy_service_client_create_channel_credentials_file(client_class, transport_class, transport_name, grpc_helpers):
-    # Check the case credentials file is provided.
-    options = client_options.ClientOptions(
-        credentials_file="credentials.json"
-    )
-
-    with mock.patch.object(transport_class, '__init__') as patched:
-        patched.return_value = None
-        client = client_class(client_options=options, transport=transport_name)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file="credentials.json",
-            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-
-    # test that the credentials from file are saved and used as the credentials.
-    with mock.patch.object(
-        google.auth, "load_credentials_from_file", autospec=True
-    ) as load_creds, mock.patch.object(
-        google.auth, "default", autospec=True
-    ) as adc, mock.patch.object(
-        grpc_helpers, "create_channel"
-    ) as create_channel:
-        creds = ga_credentials.AnonymousCredentials()
-        file_creds = ga_credentials.AnonymousCredentials()
-        load_creds.return_value = (file_creds, None)
-        adc.return_value = (creds, None)
-        client = client_class(client_options=options, transport=transport_name)
-        create_channel.assert_called_with(
-            "dataplex.googleapis.com:443",
-            credentials=file_creds,
-            credentials_file=None,
-            quota_project_id=None,
-            default_scopes=(
-                'https://www.googleapis.com/auth/cloud-platform',
-),
-            scopes=None,
-            default_host="dataplex.googleapis.com",
-            ssl_credentials=None,
-            options=[
-                ("grpc.max_send_message_length", -1),
-                ("grpc.max_receive_message_length", -1),
-            ],
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  gcd_data_taxonomy.CreateDataTaxonomyRequest,
-  dict,
-])
-def test_create_data_taxonomy(request_type, transport: str = 'grpc'):
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_data_taxonomy),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/spam')
-        response = client.create_data_taxonomy(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = gcd_data_taxonomy.CreateDataTaxonomyRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-def test_create_data_taxonomy_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = gcd_data_taxonomy.CreateDataTaxonomyRequest(
-        parent='parent_value',
-        data_taxonomy_id='data_taxonomy_id_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_data_taxonomy),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.create_data_taxonomy(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == gcd_data_taxonomy.CreateDataTaxonomyRequest(
-            parent='parent_value',
-            data_taxonomy_id='data_taxonomy_id_value',
-        )
-
-def test_create_data_taxonomy_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = DataTaxonomyServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.create_data_taxonomy in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.create_data_taxonomy] = mock_rpc
-        request = {}
-        client.create_data_taxonomy(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        client.create_data_taxonomy(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_create_data_taxonomy_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = DataTaxonomyServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.create_data_taxonomy in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.create_data_taxonomy] = mock_rpc
-
-        request = {}
-        await client.create_data_taxonomy(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        await client.create_data_taxonomy(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_create_data_taxonomy_async(transport: str = 'grpc_asyncio', request_type=gcd_data_taxonomy.CreateDataTaxonomyRequest):
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_data_taxonomy),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        response = await client.create_data_taxonomy(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = gcd_data_taxonomy.CreateDataTaxonomyRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-@pytest.mark.asyncio
-async def test_create_data_taxonomy_async_from_dict():
-    await test_create_data_taxonomy_async(request_type=dict)
-
-def test_create_data_taxonomy_field_headers():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = gcd_data_taxonomy.CreateDataTaxonomyRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_data_taxonomy),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.create_data_taxonomy(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_create_data_taxonomy_field_headers_async():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = gcd_data_taxonomy.CreateDataTaxonomyRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_data_taxonomy),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
-        await client.create_data_taxonomy(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-def test_create_data_taxonomy_flattened():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_data_taxonomy),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.create_data_taxonomy(
-            parent='parent_value',
-            data_taxonomy=gcd_data_taxonomy.DataTaxonomy(name='name_value'),
-            data_taxonomy_id='data_taxonomy_id_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-        arg = args[0].data_taxonomy
-        mock_val = gcd_data_taxonomy.DataTaxonomy(name='name_value')
-        assert arg == mock_val
-        arg = args[0].data_taxonomy_id
-        mock_val = 'data_taxonomy_id_value'
-        assert arg == mock_val
-
-
-def test_create_data_taxonomy_flattened_error():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.create_data_taxonomy(
-            gcd_data_taxonomy.CreateDataTaxonomyRequest(),
-            parent='parent_value',
-            data_taxonomy=gcd_data_taxonomy.DataTaxonomy(name='name_value'),
-            data_taxonomy_id='data_taxonomy_id_value',
-        )
-
-@pytest.mark.asyncio
-async def test_create_data_taxonomy_flattened_async():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_data_taxonomy),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.create_data_taxonomy(
-            parent='parent_value',
-            data_taxonomy=gcd_data_taxonomy.DataTaxonomy(name='name_value'),
-            data_taxonomy_id='data_taxonomy_id_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-        arg = args[0].data_taxonomy
-        mock_val = gcd_data_taxonomy.DataTaxonomy(name='name_value')
-        assert arg == mock_val
-        arg = args[0].data_taxonomy_id
-        mock_val = 'data_taxonomy_id_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_create_data_taxonomy_flattened_error_async():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.create_data_taxonomy(
-            gcd_data_taxonomy.CreateDataTaxonomyRequest(),
-            parent='parent_value',
-            data_taxonomy=gcd_data_taxonomy.DataTaxonomy(name='name_value'),
-            data_taxonomy_id='data_taxonomy_id_value',
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  gcd_data_taxonomy.UpdateDataTaxonomyRequest,
-  dict,
-])
-def test_update_data_taxonomy(request_type, transport: str = 'grpc'):
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_data_taxonomy),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/spam')
-        response = client.update_data_taxonomy(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = gcd_data_taxonomy.UpdateDataTaxonomyRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-def test_update_data_taxonomy_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = gcd_data_taxonomy.UpdateDataTaxonomyRequest(
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_data_taxonomy),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.update_data_taxonomy(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == gcd_data_taxonomy.UpdateDataTaxonomyRequest(
-        )
-
-def test_update_data_taxonomy_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = DataTaxonomyServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.update_data_taxonomy in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.update_data_taxonomy] = mock_rpc
-        request = {}
-        client.update_data_taxonomy(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        client.update_data_taxonomy(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_update_data_taxonomy_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = DataTaxonomyServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.update_data_taxonomy in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.update_data_taxonomy] = mock_rpc
-
-        request = {}
-        await client.update_data_taxonomy(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        await client.update_data_taxonomy(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_update_data_taxonomy_async(transport: str = 'grpc_asyncio', request_type=gcd_data_taxonomy.UpdateDataTaxonomyRequest):
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_data_taxonomy),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        response = await client.update_data_taxonomy(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = gcd_data_taxonomy.UpdateDataTaxonomyRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-@pytest.mark.asyncio
-async def test_update_data_taxonomy_async_from_dict():
-    await test_update_data_taxonomy_async(request_type=dict)
-
-def test_update_data_taxonomy_field_headers():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = gcd_data_taxonomy.UpdateDataTaxonomyRequest()
-
-    request.data_taxonomy.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_data_taxonomy),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.update_data_taxonomy(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'data_taxonomy.name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_update_data_taxonomy_field_headers_async():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = gcd_data_taxonomy.UpdateDataTaxonomyRequest()
-
-    request.data_taxonomy.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_data_taxonomy),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
-        await client.update_data_taxonomy(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'data_taxonomy.name=name_value',
-    ) in kw['metadata']
-
-
-def test_update_data_taxonomy_flattened():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_data_taxonomy),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.update_data_taxonomy(
-            data_taxonomy=gcd_data_taxonomy.DataTaxonomy(name='name_value'),
-            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].data_taxonomy
-        mock_val = gcd_data_taxonomy.DataTaxonomy(name='name_value')
-        assert arg == mock_val
-        arg = args[0].update_mask
-        mock_val = field_mask_pb2.FieldMask(paths=['paths_value'])
-        assert arg == mock_val
-
-
-def test_update_data_taxonomy_flattened_error():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.update_data_taxonomy(
-            gcd_data_taxonomy.UpdateDataTaxonomyRequest(),
-            data_taxonomy=gcd_data_taxonomy.DataTaxonomy(name='name_value'),
-            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
-        )
-
-@pytest.mark.asyncio
-async def test_update_data_taxonomy_flattened_async():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_data_taxonomy),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.update_data_taxonomy(
-            data_taxonomy=gcd_data_taxonomy.DataTaxonomy(name='name_value'),
-            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].data_taxonomy
-        mock_val = gcd_data_taxonomy.DataTaxonomy(name='name_value')
-        assert arg == mock_val
-        arg = args[0].update_mask
-        mock_val = field_mask_pb2.FieldMask(paths=['paths_value'])
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_update_data_taxonomy_flattened_error_async():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.update_data_taxonomy(
-            gcd_data_taxonomy.UpdateDataTaxonomyRequest(),
-            data_taxonomy=gcd_data_taxonomy.DataTaxonomy(name='name_value'),
-            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  data_taxonomy.DeleteDataTaxonomyRequest,
-  dict,
-])
-def test_delete_data_taxonomy(request_type, transport: str = 'grpc'):
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_data_taxonomy),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/spam')
-        response = client.delete_data_taxonomy(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = data_taxonomy.DeleteDataTaxonomyRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-def test_delete_data_taxonomy_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = data_taxonomy.DeleteDataTaxonomyRequest(
-        name='name_value',
-        etag='etag_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_data_taxonomy),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.delete_data_taxonomy(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == data_taxonomy.DeleteDataTaxonomyRequest(
-            name='name_value',
-            etag='etag_value',
-        )
-
-def test_delete_data_taxonomy_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = DataTaxonomyServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.delete_data_taxonomy in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.delete_data_taxonomy] = mock_rpc
-        request = {}
-        client.delete_data_taxonomy(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        client.delete_data_taxonomy(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_delete_data_taxonomy_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = DataTaxonomyServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.delete_data_taxonomy in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.delete_data_taxonomy] = mock_rpc
-
-        request = {}
-        await client.delete_data_taxonomy(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        await client.delete_data_taxonomy(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_delete_data_taxonomy_async(transport: str = 'grpc_asyncio', request_type=data_taxonomy.DeleteDataTaxonomyRequest):
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_data_taxonomy),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        response = await client.delete_data_taxonomy(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = data_taxonomy.DeleteDataTaxonomyRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-@pytest.mark.asyncio
-async def test_delete_data_taxonomy_async_from_dict():
-    await test_delete_data_taxonomy_async(request_type=dict)
-
-def test_delete_data_taxonomy_field_headers():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = data_taxonomy.DeleteDataTaxonomyRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_data_taxonomy),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.delete_data_taxonomy(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_delete_data_taxonomy_field_headers_async():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = data_taxonomy.DeleteDataTaxonomyRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_data_taxonomy),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
-        await client.delete_data_taxonomy(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-def test_delete_data_taxonomy_flattened():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_data_taxonomy),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.delete_data_taxonomy(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-
-def test_delete_data_taxonomy_flattened_error():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.delete_data_taxonomy(
-            data_taxonomy.DeleteDataTaxonomyRequest(),
-            name='name_value',
-        )
-
-@pytest.mark.asyncio
-async def test_delete_data_taxonomy_flattened_async():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_data_taxonomy),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.delete_data_taxonomy(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_delete_data_taxonomy_flattened_error_async():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.delete_data_taxonomy(
-            data_taxonomy.DeleteDataTaxonomyRequest(),
-            name='name_value',
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  data_taxonomy.ListDataTaxonomiesRequest,
-  dict,
-])
-def test_list_data_taxonomies(request_type, transport: str = 'grpc'):
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_taxonomies),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = data_taxonomy.ListDataTaxonomiesResponse(
-            next_page_token='next_page_token_value',
-            unreachable_locations=['unreachable_locations_value'],
-        )
-        response = client.list_data_taxonomies(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = data_taxonomy.ListDataTaxonomiesRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListDataTaxonomiesPager)
-    assert response.next_page_token == 'next_page_token_value'
-    assert response.unreachable_locations == ['unreachable_locations_value']
-
-
-def test_list_data_taxonomies_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = data_taxonomy.ListDataTaxonomiesRequest(
-        parent='parent_value',
-        page_token='page_token_value',
-        filter='filter_value',
-        order_by='order_by_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_taxonomies),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.list_data_taxonomies(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == data_taxonomy.ListDataTaxonomiesRequest(
-            parent='parent_value',
-            page_token='page_token_value',
-            filter='filter_value',
-            order_by='order_by_value',
-        )
-
-def test_list_data_taxonomies_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = DataTaxonomyServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.list_data_taxonomies in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.list_data_taxonomies] = mock_rpc
-        request = {}
-        client.list_data_taxonomies(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.list_data_taxonomies(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_list_data_taxonomies_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = DataTaxonomyServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.list_data_taxonomies in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.list_data_taxonomies] = mock_rpc
-
-        request = {}
-        await client.list_data_taxonomies(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.list_data_taxonomies(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_list_data_taxonomies_async(transport: str = 'grpc_asyncio', request_type=data_taxonomy.ListDataTaxonomiesRequest):
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_taxonomies),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(data_taxonomy.ListDataTaxonomiesResponse(
-            next_page_token='next_page_token_value',
-            unreachable_locations=['unreachable_locations_value'],
-        ))
-        response = await client.list_data_taxonomies(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = data_taxonomy.ListDataTaxonomiesRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListDataTaxonomiesAsyncPager)
-    assert response.next_page_token == 'next_page_token_value'
-    assert response.unreachable_locations == ['unreachable_locations_value']
-
-
-@pytest.mark.asyncio
-async def test_list_data_taxonomies_async_from_dict():
-    await test_list_data_taxonomies_async(request_type=dict)
-
-def test_list_data_taxonomies_field_headers():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = data_taxonomy.ListDataTaxonomiesRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_taxonomies),
-            '__call__') as call:
-        call.return_value = data_taxonomy.ListDataTaxonomiesResponse()
-        client.list_data_taxonomies(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_list_data_taxonomies_field_headers_async():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = data_taxonomy.ListDataTaxonomiesRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_taxonomies),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(data_taxonomy.ListDataTaxonomiesResponse())
-        await client.list_data_taxonomies(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-def test_list_data_taxonomies_flattened():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_taxonomies),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = data_taxonomy.ListDataTaxonomiesResponse()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.list_data_taxonomies(
-            parent='parent_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-
-
-def test_list_data_taxonomies_flattened_error():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.list_data_taxonomies(
-            data_taxonomy.ListDataTaxonomiesRequest(),
-            parent='parent_value',
-        )
-
-@pytest.mark.asyncio
-async def test_list_data_taxonomies_flattened_async():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_taxonomies),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = data_taxonomy.ListDataTaxonomiesResponse()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(data_taxonomy.ListDataTaxonomiesResponse())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.list_data_taxonomies(
-            parent='parent_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_list_data_taxonomies_flattened_error_async():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.list_data_taxonomies(
-            data_taxonomy.ListDataTaxonomiesRequest(),
-            parent='parent_value',
-        )
-
-
-def test_list_data_taxonomies_pager(transport_name: str = "grpc"):
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_taxonomies),
-            '__call__') as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            data_taxonomy.ListDataTaxonomiesResponse(
-                data_taxonomies=[
-                    data_taxonomy.DataTaxonomy(),
-                    data_taxonomy.DataTaxonomy(),
-                    data_taxonomy.DataTaxonomy(),
-                ],
-                next_page_token='abc',
-            ),
-            data_taxonomy.ListDataTaxonomiesResponse(
-                data_taxonomies=[],
-                next_page_token='def',
-            ),
-            data_taxonomy.ListDataTaxonomiesResponse(
-                data_taxonomies=[
-                    data_taxonomy.DataTaxonomy(),
-                ],
-                next_page_token='ghi',
-            ),
-            data_taxonomy.ListDataTaxonomiesResponse(
-                data_taxonomies=[
-                    data_taxonomy.DataTaxonomy(),
-                    data_taxonomy.DataTaxonomy(),
-                ],
-            ),
-            RuntimeError,
-        )
-
-        expected_metadata = ()
-        retry = retries.Retry()
-        timeout = 5
-        expected_metadata = tuple(expected_metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ('parent', ''),
-            )),
-        )
-        pager = client.list_data_taxonomies(request={}, retry=retry, timeout=timeout)
-
-        assert pager._metadata == expected_metadata
-        assert pager._retry == retry
-        assert pager._timeout == timeout
-
-        results = list(pager)
-        assert len(results) == 6
-        assert all(isinstance(i, data_taxonomy.DataTaxonomy)
-                   for i in results)
-def test_list_data_taxonomies_pages(transport_name: str = "grpc"):
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_taxonomies),
-            '__call__') as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            data_taxonomy.ListDataTaxonomiesResponse(
-                data_taxonomies=[
-                    data_taxonomy.DataTaxonomy(),
-                    data_taxonomy.DataTaxonomy(),
-                    data_taxonomy.DataTaxonomy(),
-                ],
-                next_page_token='abc',
-            ),
-            data_taxonomy.ListDataTaxonomiesResponse(
-                data_taxonomies=[],
-                next_page_token='def',
-            ),
-            data_taxonomy.ListDataTaxonomiesResponse(
-                data_taxonomies=[
-                    data_taxonomy.DataTaxonomy(),
-                ],
-                next_page_token='ghi',
-            ),
-            data_taxonomy.ListDataTaxonomiesResponse(
-                data_taxonomies=[
-                    data_taxonomy.DataTaxonomy(),
-                    data_taxonomy.DataTaxonomy(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = list(client.list_data_taxonomies(request={}).pages)
-        for page_, token in zip(pages, ['abc','def','ghi', '']):
-            assert page_.raw_page.next_page_token == token
-
-@pytest.mark.asyncio
-async def test_list_data_taxonomies_async_pager():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_taxonomies),
-            '__call__', new_callable=mock.AsyncMock) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            data_taxonomy.ListDataTaxonomiesResponse(
-                data_taxonomies=[
-                    data_taxonomy.DataTaxonomy(),
-                    data_taxonomy.DataTaxonomy(),
-                    data_taxonomy.DataTaxonomy(),
-                ],
-                next_page_token='abc',
-            ),
-            data_taxonomy.ListDataTaxonomiesResponse(
-                data_taxonomies=[],
-                next_page_token='def',
-            ),
-            data_taxonomy.ListDataTaxonomiesResponse(
-                data_taxonomies=[
-                    data_taxonomy.DataTaxonomy(),
-                ],
-                next_page_token='ghi',
-            ),
-            data_taxonomy.ListDataTaxonomiesResponse(
-                data_taxonomies=[
-                    data_taxonomy.DataTaxonomy(),
-                    data_taxonomy.DataTaxonomy(),
-                ],
-            ),
-            RuntimeError,
-        )
-        async_pager = await client.list_data_taxonomies(request={},)
-        assert async_pager.next_page_token == 'abc'
-        responses = []
-        async for response in async_pager: # pragma: no branch
-            responses.append(response)
-
-        assert len(responses) == 6
-        assert all(isinstance(i, data_taxonomy.DataTaxonomy)
-                for i in responses)
-
-
-@pytest.mark.asyncio
-async def test_list_data_taxonomies_async_pages():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_taxonomies),
-            '__call__', new_callable=mock.AsyncMock) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            data_taxonomy.ListDataTaxonomiesResponse(
-                data_taxonomies=[
-                    data_taxonomy.DataTaxonomy(),
-                    data_taxonomy.DataTaxonomy(),
-                    data_taxonomy.DataTaxonomy(),
-                ],
-                next_page_token='abc',
-            ),
-            data_taxonomy.ListDataTaxonomiesResponse(
-                data_taxonomies=[],
-                next_page_token='def',
-            ),
-            data_taxonomy.ListDataTaxonomiesResponse(
-                data_taxonomies=[
-                    data_taxonomy.DataTaxonomy(),
-                ],
-                next_page_token='ghi',
-            ),
-            data_taxonomy.ListDataTaxonomiesResponse(
-                data_taxonomies=[
-                    data_taxonomy.DataTaxonomy(),
-                    data_taxonomy.DataTaxonomy(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = []
-        # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch`
-        # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372
-        async for page_ in ( # pragma: no branch
-            await client.list_data_taxonomies(request={})
-        ).pages:
-            pages.append(page_)
-        for page_, token in zip(pages, ['abc','def','ghi', '']):
-            assert page_.raw_page.next_page_token == token
-
-@pytest.mark.parametrize("request_type", [
-  data_taxonomy.GetDataTaxonomyRequest,
-  dict,
-])
-def test_get_data_taxonomy(request_type, transport: str = 'grpc'):
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_data_taxonomy),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = data_taxonomy.DataTaxonomy(
-            name='name_value',
-            uid='uid_value',
-            description='description_value',
-            display_name='display_name_value',
-            attribute_count=1628,
-            etag='etag_value',
-            class_count=1182,
-        )
-        response = client.get_data_taxonomy(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = data_taxonomy.GetDataTaxonomyRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, data_taxonomy.DataTaxonomy)
-    assert response.name == 'name_value'
-    assert response.uid == 'uid_value'
-    assert response.description == 'description_value'
-    assert response.display_name == 'display_name_value'
-    assert response.attribute_count == 1628
-    assert response.etag == 'etag_value'
-    assert response.class_count == 1182
-
-
-def test_get_data_taxonomy_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = data_taxonomy.GetDataTaxonomyRequest(
-        name='name_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_data_taxonomy),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.get_data_taxonomy(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == data_taxonomy.GetDataTaxonomyRequest(
-            name='name_value',
-        )
-
-def test_get_data_taxonomy_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = DataTaxonomyServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.get_data_taxonomy in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.get_data_taxonomy] = mock_rpc
-        request = {}
-        client.get_data_taxonomy(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.get_data_taxonomy(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_get_data_taxonomy_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = DataTaxonomyServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.get_data_taxonomy in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.get_data_taxonomy] = mock_rpc
-
-        request = {}
-        await client.get_data_taxonomy(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.get_data_taxonomy(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_get_data_taxonomy_async(transport: str = 'grpc_asyncio', request_type=data_taxonomy.GetDataTaxonomyRequest):
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_data_taxonomy),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(data_taxonomy.DataTaxonomy(
-            name='name_value',
-            uid='uid_value',
-            description='description_value',
-            display_name='display_name_value',
-            attribute_count=1628,
-            etag='etag_value',
-            class_count=1182,
-        ))
-        response = await client.get_data_taxonomy(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = data_taxonomy.GetDataTaxonomyRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, data_taxonomy.DataTaxonomy)
-    assert response.name == 'name_value'
-    assert response.uid == 'uid_value'
-    assert response.description == 'description_value'
-    assert response.display_name == 'display_name_value'
-    assert response.attribute_count == 1628
-    assert response.etag == 'etag_value'
-    assert response.class_count == 1182
-
-
-@pytest.mark.asyncio
-async def test_get_data_taxonomy_async_from_dict():
-    await test_get_data_taxonomy_async(request_type=dict)
-
-def test_get_data_taxonomy_field_headers():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = data_taxonomy.GetDataTaxonomyRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_data_taxonomy),
-            '__call__') as call:
-        call.return_value = data_taxonomy.DataTaxonomy()
-        client.get_data_taxonomy(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_get_data_taxonomy_field_headers_async():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = data_taxonomy.GetDataTaxonomyRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_data_taxonomy),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(data_taxonomy.DataTaxonomy())
-        await client.get_data_taxonomy(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-def test_get_data_taxonomy_flattened():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_data_taxonomy),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = data_taxonomy.DataTaxonomy()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.get_data_taxonomy(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-
-def test_get_data_taxonomy_flattened_error():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.get_data_taxonomy(
-            data_taxonomy.GetDataTaxonomyRequest(),
-            name='name_value',
-        )
-
-@pytest.mark.asyncio
-async def test_get_data_taxonomy_flattened_async():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_data_taxonomy),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = data_taxonomy.DataTaxonomy()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(data_taxonomy.DataTaxonomy())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.get_data_taxonomy(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_get_data_taxonomy_flattened_error_async():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.get_data_taxonomy(
-            data_taxonomy.GetDataTaxonomyRequest(),
-            name='name_value',
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  data_taxonomy.CreateDataAttributeBindingRequest,
-  dict,
-])
-def test_create_data_attribute_binding(request_type, transport: str = 'grpc'):
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_data_attribute_binding),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/spam')
-        response = client.create_data_attribute_binding(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = data_taxonomy.CreateDataAttributeBindingRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-def test_create_data_attribute_binding_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = data_taxonomy.CreateDataAttributeBindingRequest(
-        parent='parent_value',
-        data_attribute_binding_id='data_attribute_binding_id_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_data_attribute_binding),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.create_data_attribute_binding(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == data_taxonomy.CreateDataAttributeBindingRequest(
-            parent='parent_value',
-            data_attribute_binding_id='data_attribute_binding_id_value',
-        )
-
-def test_create_data_attribute_binding_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = DataTaxonomyServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.create_data_attribute_binding in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.create_data_attribute_binding] = mock_rpc
-        request = {}
-        client.create_data_attribute_binding(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        client.create_data_attribute_binding(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_create_data_attribute_binding_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = DataTaxonomyServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.create_data_attribute_binding in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.create_data_attribute_binding] = mock_rpc
-
-        request = {}
-        await client.create_data_attribute_binding(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        await client.create_data_attribute_binding(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_create_data_attribute_binding_async(transport: str = 'grpc_asyncio', request_type=data_taxonomy.CreateDataAttributeBindingRequest):
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_data_attribute_binding),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        response = await client.create_data_attribute_binding(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = data_taxonomy.CreateDataAttributeBindingRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-@pytest.mark.asyncio
-async def test_create_data_attribute_binding_async_from_dict():
-    await test_create_data_attribute_binding_async(request_type=dict)
-
-def test_create_data_attribute_binding_field_headers():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = data_taxonomy.CreateDataAttributeBindingRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_data_attribute_binding),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.create_data_attribute_binding(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_create_data_attribute_binding_field_headers_async():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = data_taxonomy.CreateDataAttributeBindingRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_data_attribute_binding),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
-        await client.create_data_attribute_binding(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-def test_create_data_attribute_binding_flattened():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_data_attribute_binding),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.create_data_attribute_binding(
-            parent='parent_value',
-            data_attribute_binding=data_taxonomy.DataAttributeBinding(name='name_value'),
-            data_attribute_binding_id='data_attribute_binding_id_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-        arg = args[0].data_attribute_binding
-        mock_val = data_taxonomy.DataAttributeBinding(name='name_value')
-        assert arg == mock_val
-        arg = args[0].data_attribute_binding_id
-        mock_val = 'data_attribute_binding_id_value'
-        assert arg == mock_val
-
-
-def test_create_data_attribute_binding_flattened_error():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.create_data_attribute_binding(
-            data_taxonomy.CreateDataAttributeBindingRequest(),
-            parent='parent_value',
-            data_attribute_binding=data_taxonomy.DataAttributeBinding(name='name_value'),
-            data_attribute_binding_id='data_attribute_binding_id_value',
-        )
-
-@pytest.mark.asyncio
-async def test_create_data_attribute_binding_flattened_async():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_data_attribute_binding),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.create_data_attribute_binding(
-            parent='parent_value',
-            data_attribute_binding=data_taxonomy.DataAttributeBinding(name='name_value'),
-            data_attribute_binding_id='data_attribute_binding_id_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-        arg = args[0].data_attribute_binding
-        mock_val = data_taxonomy.DataAttributeBinding(name='name_value')
-        assert arg == mock_val
-        arg = args[0].data_attribute_binding_id
-        mock_val = 'data_attribute_binding_id_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_create_data_attribute_binding_flattened_error_async():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.create_data_attribute_binding(
-            data_taxonomy.CreateDataAttributeBindingRequest(),
-            parent='parent_value',
-            data_attribute_binding=data_taxonomy.DataAttributeBinding(name='name_value'),
-            data_attribute_binding_id='data_attribute_binding_id_value',
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  data_taxonomy.UpdateDataAttributeBindingRequest,
-  dict,
-])
-def test_update_data_attribute_binding(request_type, transport: str = 'grpc'):
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_data_attribute_binding),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/spam')
-        response = client.update_data_attribute_binding(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = data_taxonomy.UpdateDataAttributeBindingRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-def test_update_data_attribute_binding_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = data_taxonomy.UpdateDataAttributeBindingRequest(
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_data_attribute_binding),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.update_data_attribute_binding(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == data_taxonomy.UpdateDataAttributeBindingRequest(
-        )
-
-def test_update_data_attribute_binding_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = DataTaxonomyServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.update_data_attribute_binding in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.update_data_attribute_binding] = mock_rpc
-        request = {}
-        client.update_data_attribute_binding(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        client.update_data_attribute_binding(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_update_data_attribute_binding_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = DataTaxonomyServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.update_data_attribute_binding in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.update_data_attribute_binding] = mock_rpc
-
-        request = {}
-        await client.update_data_attribute_binding(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        await client.update_data_attribute_binding(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_update_data_attribute_binding_async(transport: str = 'grpc_asyncio', request_type=data_taxonomy.UpdateDataAttributeBindingRequest):
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_data_attribute_binding),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        response = await client.update_data_attribute_binding(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = data_taxonomy.UpdateDataAttributeBindingRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-@pytest.mark.asyncio
-async def test_update_data_attribute_binding_async_from_dict():
-    await test_update_data_attribute_binding_async(request_type=dict)
-
-def test_update_data_attribute_binding_field_headers():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = data_taxonomy.UpdateDataAttributeBindingRequest()
-
-    request.data_attribute_binding.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_data_attribute_binding),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.update_data_attribute_binding(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'data_attribute_binding.name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_update_data_attribute_binding_field_headers_async():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = data_taxonomy.UpdateDataAttributeBindingRequest()
-
-    request.data_attribute_binding.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_data_attribute_binding),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
-        await client.update_data_attribute_binding(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'data_attribute_binding.name=name_value',
-    ) in kw['metadata']
-
-
-def test_update_data_attribute_binding_flattened():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_data_attribute_binding),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.update_data_attribute_binding(
-            data_attribute_binding=data_taxonomy.DataAttributeBinding(name='name_value'),
-            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].data_attribute_binding
-        mock_val = data_taxonomy.DataAttributeBinding(name='name_value')
-        assert arg == mock_val
-        arg = args[0].update_mask
-        mock_val = field_mask_pb2.FieldMask(paths=['paths_value'])
-        assert arg == mock_val
-
-
-def test_update_data_attribute_binding_flattened_error():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.update_data_attribute_binding(
-            data_taxonomy.UpdateDataAttributeBindingRequest(),
-            data_attribute_binding=data_taxonomy.DataAttributeBinding(name='name_value'),
-            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
-        )
-
-@pytest.mark.asyncio
-async def test_update_data_attribute_binding_flattened_async():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_data_attribute_binding),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.update_data_attribute_binding(
-            data_attribute_binding=data_taxonomy.DataAttributeBinding(name='name_value'),
-            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].data_attribute_binding
-        mock_val = data_taxonomy.DataAttributeBinding(name='name_value')
-        assert arg == mock_val
-        arg = args[0].update_mask
-        mock_val = field_mask_pb2.FieldMask(paths=['paths_value'])
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_update_data_attribute_binding_flattened_error_async():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.update_data_attribute_binding(
-            data_taxonomy.UpdateDataAttributeBindingRequest(),
-            data_attribute_binding=data_taxonomy.DataAttributeBinding(name='name_value'),
-            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  data_taxonomy.DeleteDataAttributeBindingRequest,
-  dict,
-])
-def test_delete_data_attribute_binding(request_type, transport: str = 'grpc'):
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_data_attribute_binding),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/spam')
-        response = client.delete_data_attribute_binding(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = data_taxonomy.DeleteDataAttributeBindingRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-def test_delete_data_attribute_binding_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = data_taxonomy.DeleteDataAttributeBindingRequest(
-        name='name_value',
-        etag='etag_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_data_attribute_binding),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.delete_data_attribute_binding(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == data_taxonomy.DeleteDataAttributeBindingRequest(
-            name='name_value',
-            etag='etag_value',
-        )
-
-def test_delete_data_attribute_binding_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = DataTaxonomyServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.delete_data_attribute_binding in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.delete_data_attribute_binding] = mock_rpc
-        request = {}
-        client.delete_data_attribute_binding(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        client.delete_data_attribute_binding(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_delete_data_attribute_binding_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = DataTaxonomyServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.delete_data_attribute_binding in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.delete_data_attribute_binding] = mock_rpc
-
-        request = {}
-        await client.delete_data_attribute_binding(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        await client.delete_data_attribute_binding(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_delete_data_attribute_binding_async(transport: str = 'grpc_asyncio', request_type=data_taxonomy.DeleteDataAttributeBindingRequest):
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_data_attribute_binding),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        response = await client.delete_data_attribute_binding(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = data_taxonomy.DeleteDataAttributeBindingRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-@pytest.mark.asyncio
-async def test_delete_data_attribute_binding_async_from_dict():
-    await test_delete_data_attribute_binding_async(request_type=dict)
-
-def test_delete_data_attribute_binding_field_headers():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = data_taxonomy.DeleteDataAttributeBindingRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_data_attribute_binding),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.delete_data_attribute_binding(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_delete_data_attribute_binding_field_headers_async():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = data_taxonomy.DeleteDataAttributeBindingRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_data_attribute_binding),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
-        await client.delete_data_attribute_binding(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-def test_delete_data_attribute_binding_flattened():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_data_attribute_binding),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.delete_data_attribute_binding(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-
-def test_delete_data_attribute_binding_flattened_error():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.delete_data_attribute_binding(
-            data_taxonomy.DeleteDataAttributeBindingRequest(),
-            name='name_value',
-        )
-
-@pytest.mark.asyncio
-async def test_delete_data_attribute_binding_flattened_async():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_data_attribute_binding),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.delete_data_attribute_binding(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_delete_data_attribute_binding_flattened_error_async():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.delete_data_attribute_binding(
-            data_taxonomy.DeleteDataAttributeBindingRequest(),
-            name='name_value',
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  data_taxonomy.ListDataAttributeBindingsRequest,
-  dict,
-])
-def test_list_data_attribute_bindings(request_type, transport: str = 'grpc'):
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_attribute_bindings),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = data_taxonomy.ListDataAttributeBindingsResponse(
-            next_page_token='next_page_token_value',
-            unreachable_locations=['unreachable_locations_value'],
-        )
-        response = client.list_data_attribute_bindings(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = data_taxonomy.ListDataAttributeBindingsRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListDataAttributeBindingsPager)
-    assert response.next_page_token == 'next_page_token_value'
-    assert response.unreachable_locations == ['unreachable_locations_value']
-
-
-def test_list_data_attribute_bindings_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = data_taxonomy.ListDataAttributeBindingsRequest(
-        parent='parent_value',
-        page_token='page_token_value',
-        filter='filter_value',
-        order_by='order_by_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_attribute_bindings),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.list_data_attribute_bindings(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == data_taxonomy.ListDataAttributeBindingsRequest(
-            parent='parent_value',
-            page_token='page_token_value',
-            filter='filter_value',
-            order_by='order_by_value',
-        )
-
-def test_list_data_attribute_bindings_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = DataTaxonomyServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.list_data_attribute_bindings in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.list_data_attribute_bindings] = mock_rpc
-        request = {}
-        client.list_data_attribute_bindings(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.list_data_attribute_bindings(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_list_data_attribute_bindings_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = DataTaxonomyServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.list_data_attribute_bindings in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.list_data_attribute_bindings] = mock_rpc
-
-        request = {}
-        await client.list_data_attribute_bindings(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.list_data_attribute_bindings(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_list_data_attribute_bindings_async(transport: str = 'grpc_asyncio', request_type=data_taxonomy.ListDataAttributeBindingsRequest):
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_attribute_bindings),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(data_taxonomy.ListDataAttributeBindingsResponse(
-            next_page_token='next_page_token_value',
-            unreachable_locations=['unreachable_locations_value'],
-        ))
-        response = await client.list_data_attribute_bindings(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = data_taxonomy.ListDataAttributeBindingsRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListDataAttributeBindingsAsyncPager)
-    assert response.next_page_token == 'next_page_token_value'
-    assert response.unreachable_locations == ['unreachable_locations_value']
-
-
-@pytest.mark.asyncio
-async def test_list_data_attribute_bindings_async_from_dict():
-    await test_list_data_attribute_bindings_async(request_type=dict)
-
-def test_list_data_attribute_bindings_field_headers():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = data_taxonomy.ListDataAttributeBindingsRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_attribute_bindings),
-            '__call__') as call:
-        call.return_value = data_taxonomy.ListDataAttributeBindingsResponse()
-        client.list_data_attribute_bindings(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_list_data_attribute_bindings_field_headers_async():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = data_taxonomy.ListDataAttributeBindingsRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_attribute_bindings),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(data_taxonomy.ListDataAttributeBindingsResponse())
-        await client.list_data_attribute_bindings(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-def test_list_data_attribute_bindings_flattened():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_attribute_bindings),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = data_taxonomy.ListDataAttributeBindingsResponse()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.list_data_attribute_bindings(
-            parent='parent_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-
-
-def test_list_data_attribute_bindings_flattened_error():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.list_data_attribute_bindings(
-            data_taxonomy.ListDataAttributeBindingsRequest(),
-            parent='parent_value',
-        )
-
-@pytest.mark.asyncio
-async def test_list_data_attribute_bindings_flattened_async():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_attribute_bindings),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = data_taxonomy.ListDataAttributeBindingsResponse()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(data_taxonomy.ListDataAttributeBindingsResponse())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.list_data_attribute_bindings(
-            parent='parent_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_list_data_attribute_bindings_flattened_error_async():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.list_data_attribute_bindings(
-            data_taxonomy.ListDataAttributeBindingsRequest(),
-            parent='parent_value',
-        )
-
-
-def test_list_data_attribute_bindings_pager(transport_name: str = "grpc"):
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_attribute_bindings),
-            '__call__') as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            data_taxonomy.ListDataAttributeBindingsResponse(
-                data_attribute_bindings=[
-                    data_taxonomy.DataAttributeBinding(),
-                    data_taxonomy.DataAttributeBinding(),
-                    data_taxonomy.DataAttributeBinding(),
-                ],
-                next_page_token='abc',
-            ),
-            data_taxonomy.ListDataAttributeBindingsResponse(
-                data_attribute_bindings=[],
-                next_page_token='def',
-            ),
-            data_taxonomy.ListDataAttributeBindingsResponse(
-                data_attribute_bindings=[
-                    data_taxonomy.DataAttributeBinding(),
-                ],
-                next_page_token='ghi',
-            ),
-            data_taxonomy.ListDataAttributeBindingsResponse(
-                data_attribute_bindings=[
-                    data_taxonomy.DataAttributeBinding(),
-                    data_taxonomy.DataAttributeBinding(),
-                ],
-            ),
-            RuntimeError,
-        )
-
-        expected_metadata = ()
-        retry = retries.Retry()
-        timeout = 5
-        expected_metadata = tuple(expected_metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ('parent', ''),
-            )),
-        )
-        pager = client.list_data_attribute_bindings(request={}, retry=retry, timeout=timeout)
-
-        assert pager._metadata == expected_metadata
-        assert pager._retry == retry
-        assert pager._timeout == timeout
-
-        results = list(pager)
-        assert len(results) == 6
-        assert all(isinstance(i, data_taxonomy.DataAttributeBinding)
-                   for i in results)
-def test_list_data_attribute_bindings_pages(transport_name: str = "grpc"):
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_attribute_bindings),
-            '__call__') as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            data_taxonomy.ListDataAttributeBindingsResponse(
-                data_attribute_bindings=[
-                    data_taxonomy.DataAttributeBinding(),
-                    data_taxonomy.DataAttributeBinding(),
-                    data_taxonomy.DataAttributeBinding(),
-                ],
-                next_page_token='abc',
-            ),
-            data_taxonomy.ListDataAttributeBindingsResponse(
-                data_attribute_bindings=[],
-                next_page_token='def',
-            ),
-            data_taxonomy.ListDataAttributeBindingsResponse(
-                data_attribute_bindings=[
-                    data_taxonomy.DataAttributeBinding(),
-                ],
-                next_page_token='ghi',
-            ),
-            data_taxonomy.ListDataAttributeBindingsResponse(
-                data_attribute_bindings=[
-                    data_taxonomy.DataAttributeBinding(),
-                    data_taxonomy.DataAttributeBinding(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = list(client.list_data_attribute_bindings(request={}).pages)
-        for page_, token in zip(pages, ['abc','def','ghi', '']):
-            assert page_.raw_page.next_page_token == token
-
-@pytest.mark.asyncio
-async def test_list_data_attribute_bindings_async_pager():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_attribute_bindings),
-            '__call__', new_callable=mock.AsyncMock) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            data_taxonomy.ListDataAttributeBindingsResponse(
-                data_attribute_bindings=[
-                    data_taxonomy.DataAttributeBinding(),
-                    data_taxonomy.DataAttributeBinding(),
-                    data_taxonomy.DataAttributeBinding(),
-                ],
-                next_page_token='abc',
-            ),
-            data_taxonomy.ListDataAttributeBindingsResponse(
-                data_attribute_bindings=[],
-                next_page_token='def',
-            ),
-            data_taxonomy.ListDataAttributeBindingsResponse(
-                data_attribute_bindings=[
-                    data_taxonomy.DataAttributeBinding(),
-                ],
-                next_page_token='ghi',
-            ),
-            data_taxonomy.ListDataAttributeBindingsResponse(
-                data_attribute_bindings=[
-                    data_taxonomy.DataAttributeBinding(),
-                    data_taxonomy.DataAttributeBinding(),
-                ],
-            ),
-            RuntimeError,
-        )
-        async_pager = await client.list_data_attribute_bindings(request={},)
-        assert async_pager.next_page_token == 'abc'
-        responses = []
-        async for response in async_pager: # pragma: no branch
-            responses.append(response)
-
-        assert len(responses) == 6
-        assert all(isinstance(i, data_taxonomy.DataAttributeBinding)
-                for i in responses)
-
-
-@pytest.mark.asyncio
-async def test_list_data_attribute_bindings_async_pages():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_attribute_bindings),
-            '__call__', new_callable=mock.AsyncMock) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            data_taxonomy.ListDataAttributeBindingsResponse(
-                data_attribute_bindings=[
-                    data_taxonomy.DataAttributeBinding(),
-                    data_taxonomy.DataAttributeBinding(),
-                    data_taxonomy.DataAttributeBinding(),
-                ],
-                next_page_token='abc',
-            ),
-            data_taxonomy.ListDataAttributeBindingsResponse(
-                data_attribute_bindings=[],
-                next_page_token='def',
-            ),
-            data_taxonomy.ListDataAttributeBindingsResponse(
-                data_attribute_bindings=[
-                    data_taxonomy.DataAttributeBinding(),
-                ],
-                next_page_token='ghi',
-            ),
-            data_taxonomy.ListDataAttributeBindingsResponse(
-                data_attribute_bindings=[
-                    data_taxonomy.DataAttributeBinding(),
-                    data_taxonomy.DataAttributeBinding(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = []
-        # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch`
-        # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372
-        async for page_ in ( # pragma: no branch
-            await client.list_data_attribute_bindings(request={})
-        ).pages:
-            pages.append(page_)
-        for page_, token in zip(pages, ['abc','def','ghi', '']):
-            assert page_.raw_page.next_page_token == token
-
-@pytest.mark.parametrize("request_type", [
-  data_taxonomy.GetDataAttributeBindingRequest,
-  dict,
-])
-def test_get_data_attribute_binding(request_type, transport: str = 'grpc'):
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_data_attribute_binding),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = data_taxonomy.DataAttributeBinding(
-            name='name_value',
-            uid='uid_value',
-            description='description_value',
-            display_name='display_name_value',
-            etag='etag_value',
-            attributes=['attributes_value'],
-            resource='resource_value',
-        )
-        response = client.get_data_attribute_binding(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = data_taxonomy.GetDataAttributeBindingRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, data_taxonomy.DataAttributeBinding)
-    assert response.name == 'name_value'
-    assert response.uid == 'uid_value'
-    assert response.description == 'description_value'
-    assert response.display_name == 'display_name_value'
-    assert response.etag == 'etag_value'
-    assert response.attributes == ['attributes_value']
-
-
-def test_get_data_attribute_binding_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = data_taxonomy.GetDataAttributeBindingRequest(
-        name='name_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_data_attribute_binding),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.get_data_attribute_binding(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == data_taxonomy.GetDataAttributeBindingRequest(
-            name='name_value',
-        )
-
-def test_get_data_attribute_binding_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = DataTaxonomyServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.get_data_attribute_binding in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.get_data_attribute_binding] = mock_rpc
-        request = {}
-        client.get_data_attribute_binding(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.get_data_attribute_binding(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_get_data_attribute_binding_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = DataTaxonomyServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.get_data_attribute_binding in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.get_data_attribute_binding] = mock_rpc
-
-        request = {}
-        await client.get_data_attribute_binding(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.get_data_attribute_binding(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_get_data_attribute_binding_async(transport: str = 'grpc_asyncio', request_type=data_taxonomy.GetDataAttributeBindingRequest):
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_data_attribute_binding),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(data_taxonomy.DataAttributeBinding(
-            name='name_value',
-            uid='uid_value',
-            description='description_value',
-            display_name='display_name_value',
-            etag='etag_value',
-            attributes=['attributes_value'],
-        ))
-        response = await client.get_data_attribute_binding(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = data_taxonomy.GetDataAttributeBindingRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, data_taxonomy.DataAttributeBinding)
-    assert response.name == 'name_value'
-    assert response.uid == 'uid_value'
-    assert response.description == 'description_value'
-    assert response.display_name == 'display_name_value'
-    assert response.etag == 'etag_value'
-    assert response.attributes == ['attributes_value']
-
-
-@pytest.mark.asyncio
-async def test_get_data_attribute_binding_async_from_dict():
-    await test_get_data_attribute_binding_async(request_type=dict)
-
-def test_get_data_attribute_binding_field_headers():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = data_taxonomy.GetDataAttributeBindingRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_data_attribute_binding),
-            '__call__') as call:
-        call.return_value = data_taxonomy.DataAttributeBinding()
-        client.get_data_attribute_binding(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_get_data_attribute_binding_field_headers_async():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = data_taxonomy.GetDataAttributeBindingRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_data_attribute_binding),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(data_taxonomy.DataAttributeBinding())
-        await client.get_data_attribute_binding(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-def test_get_data_attribute_binding_flattened():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_data_attribute_binding),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = data_taxonomy.DataAttributeBinding()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.get_data_attribute_binding(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-
-def test_get_data_attribute_binding_flattened_error():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.get_data_attribute_binding(
-            data_taxonomy.GetDataAttributeBindingRequest(),
-            name='name_value',
-        )
-
-@pytest.mark.asyncio
-async def test_get_data_attribute_binding_flattened_async():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_data_attribute_binding),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = data_taxonomy.DataAttributeBinding()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(data_taxonomy.DataAttributeBinding())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.get_data_attribute_binding(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_get_data_attribute_binding_flattened_error_async():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.get_data_attribute_binding(
-            data_taxonomy.GetDataAttributeBindingRequest(),
-            name='name_value',
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  data_taxonomy.CreateDataAttributeRequest,
-  dict,
-])
-def test_create_data_attribute(request_type, transport: str = 'grpc'):
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_data_attribute),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/spam')
-        response = client.create_data_attribute(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = data_taxonomy.CreateDataAttributeRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-def test_create_data_attribute_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = data_taxonomy.CreateDataAttributeRequest(
-        parent='parent_value',
-        data_attribute_id='data_attribute_id_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_data_attribute),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.create_data_attribute(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == data_taxonomy.CreateDataAttributeRequest(
-            parent='parent_value',
-            data_attribute_id='data_attribute_id_value',
-        )
-
-def test_create_data_attribute_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = DataTaxonomyServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.create_data_attribute in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.create_data_attribute] = mock_rpc
-        request = {}
-        client.create_data_attribute(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        client.create_data_attribute(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_create_data_attribute_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = DataTaxonomyServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.create_data_attribute in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.create_data_attribute] = mock_rpc
-
-        request = {}
-        await client.create_data_attribute(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        await client.create_data_attribute(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_create_data_attribute_async(transport: str = 'grpc_asyncio', request_type=data_taxonomy.CreateDataAttributeRequest):
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_data_attribute),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        response = await client.create_data_attribute(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = data_taxonomy.CreateDataAttributeRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-@pytest.mark.asyncio
-async def test_create_data_attribute_async_from_dict():
-    await test_create_data_attribute_async(request_type=dict)
-
-def test_create_data_attribute_field_headers():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = data_taxonomy.CreateDataAttributeRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_data_attribute),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.create_data_attribute(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_create_data_attribute_field_headers_async():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = data_taxonomy.CreateDataAttributeRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_data_attribute),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
-        await client.create_data_attribute(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-def test_create_data_attribute_flattened():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_data_attribute),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.create_data_attribute(
-            parent='parent_value',
-            data_attribute=data_taxonomy.DataAttribute(name='name_value'),
-            data_attribute_id='data_attribute_id_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-        arg = args[0].data_attribute
-        mock_val = data_taxonomy.DataAttribute(name='name_value')
-        assert arg == mock_val
-        arg = args[0].data_attribute_id
-        mock_val = 'data_attribute_id_value'
-        assert arg == mock_val
-
-
-def test_create_data_attribute_flattened_error():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.create_data_attribute(
-            data_taxonomy.CreateDataAttributeRequest(),
-            parent='parent_value',
-            data_attribute=data_taxonomy.DataAttribute(name='name_value'),
-            data_attribute_id='data_attribute_id_value',
-        )
-
-@pytest.mark.asyncio
-async def test_create_data_attribute_flattened_async():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_data_attribute),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.create_data_attribute(
-            parent='parent_value',
-            data_attribute=data_taxonomy.DataAttribute(name='name_value'),
-            data_attribute_id='data_attribute_id_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-        arg = args[0].data_attribute
-        mock_val = data_taxonomy.DataAttribute(name='name_value')
-        assert arg == mock_val
-        arg = args[0].data_attribute_id
-        mock_val = 'data_attribute_id_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_create_data_attribute_flattened_error_async():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.create_data_attribute(
-            data_taxonomy.CreateDataAttributeRequest(),
-            parent='parent_value',
-            data_attribute=data_taxonomy.DataAttribute(name='name_value'),
-            data_attribute_id='data_attribute_id_value',
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  data_taxonomy.UpdateDataAttributeRequest,
-  dict,
-])
-def test_update_data_attribute(request_type, transport: str = 'grpc'):
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_data_attribute),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/spam')
-        response = client.update_data_attribute(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = data_taxonomy.UpdateDataAttributeRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-def test_update_data_attribute_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = data_taxonomy.UpdateDataAttributeRequest(
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_data_attribute),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.update_data_attribute(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == data_taxonomy.UpdateDataAttributeRequest(
-        )
-
-def test_update_data_attribute_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = DataTaxonomyServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.update_data_attribute in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.update_data_attribute] = mock_rpc
-        request = {}
-        client.update_data_attribute(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        client.update_data_attribute(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_update_data_attribute_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = DataTaxonomyServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.update_data_attribute in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.update_data_attribute] = mock_rpc
-
-        request = {}
-        await client.update_data_attribute(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        await client.update_data_attribute(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_update_data_attribute_async(transport: str = 'grpc_asyncio', request_type=data_taxonomy.UpdateDataAttributeRequest):
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_data_attribute),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        response = await client.update_data_attribute(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = data_taxonomy.UpdateDataAttributeRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-@pytest.mark.asyncio
-async def test_update_data_attribute_async_from_dict():
-    await test_update_data_attribute_async(request_type=dict)
-
-def test_update_data_attribute_field_headers():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = data_taxonomy.UpdateDataAttributeRequest()
-
-    request.data_attribute.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_data_attribute),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.update_data_attribute(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'data_attribute.name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_update_data_attribute_field_headers_async():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = data_taxonomy.UpdateDataAttributeRequest()
-
-    request.data_attribute.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_data_attribute),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
-        await client.update_data_attribute(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'data_attribute.name=name_value',
-    ) in kw['metadata']
-
-
-def test_update_data_attribute_flattened():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_data_attribute),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.update_data_attribute(
-            data_attribute=data_taxonomy.DataAttribute(name='name_value'),
-            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].data_attribute
-        mock_val = data_taxonomy.DataAttribute(name='name_value')
-        assert arg == mock_val
-        arg = args[0].update_mask
-        mock_val = field_mask_pb2.FieldMask(paths=['paths_value'])
-        assert arg == mock_val
-
-
-def test_update_data_attribute_flattened_error():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.update_data_attribute(
-            data_taxonomy.UpdateDataAttributeRequest(),
-            data_attribute=data_taxonomy.DataAttribute(name='name_value'),
-            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
-        )
-
-@pytest.mark.asyncio
-async def test_update_data_attribute_flattened_async():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_data_attribute),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.update_data_attribute(
-            data_attribute=data_taxonomy.DataAttribute(name='name_value'),
-            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].data_attribute
-        mock_val = data_taxonomy.DataAttribute(name='name_value')
-        assert arg == mock_val
-        arg = args[0].update_mask
-        mock_val = field_mask_pb2.FieldMask(paths=['paths_value'])
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_update_data_attribute_flattened_error_async():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.update_data_attribute(
-            data_taxonomy.UpdateDataAttributeRequest(),
-            data_attribute=data_taxonomy.DataAttribute(name='name_value'),
-            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  data_taxonomy.DeleteDataAttributeRequest,
-  dict,
-])
-def test_delete_data_attribute(request_type, transport: str = 'grpc'):
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_data_attribute),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/spam')
-        response = client.delete_data_attribute(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = data_taxonomy.DeleteDataAttributeRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-def test_delete_data_attribute_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = data_taxonomy.DeleteDataAttributeRequest(
-        name='name_value',
-        etag='etag_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_data_attribute),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.delete_data_attribute(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == data_taxonomy.DeleteDataAttributeRequest(
-            name='name_value',
-            etag='etag_value',
-        )
-
-def test_delete_data_attribute_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = DataTaxonomyServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.delete_data_attribute in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.delete_data_attribute] = mock_rpc
-        request = {}
-        client.delete_data_attribute(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        client.delete_data_attribute(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_delete_data_attribute_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = DataTaxonomyServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.delete_data_attribute in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.delete_data_attribute] = mock_rpc
-
-        request = {}
-        await client.delete_data_attribute(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        await client.delete_data_attribute(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_delete_data_attribute_async(transport: str = 'grpc_asyncio', request_type=data_taxonomy.DeleteDataAttributeRequest):
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_data_attribute),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        response = await client.delete_data_attribute(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = data_taxonomy.DeleteDataAttributeRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-@pytest.mark.asyncio
-async def test_delete_data_attribute_async_from_dict():
-    await test_delete_data_attribute_async(request_type=dict)
-
-def test_delete_data_attribute_field_headers():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = data_taxonomy.DeleteDataAttributeRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_data_attribute),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.delete_data_attribute(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_delete_data_attribute_field_headers_async():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = data_taxonomy.DeleteDataAttributeRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_data_attribute),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
-        await client.delete_data_attribute(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-def test_delete_data_attribute_flattened():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_data_attribute),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.delete_data_attribute(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-
-def test_delete_data_attribute_flattened_error():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.delete_data_attribute(
-            data_taxonomy.DeleteDataAttributeRequest(),
-            name='name_value',
-        )
-
-@pytest.mark.asyncio
-async def test_delete_data_attribute_flattened_async():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_data_attribute),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.delete_data_attribute(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_delete_data_attribute_flattened_error_async():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.delete_data_attribute(
-            data_taxonomy.DeleteDataAttributeRequest(),
-            name='name_value',
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  data_taxonomy.ListDataAttributesRequest,
-  dict,
-])
-def test_list_data_attributes(request_type, transport: str = 'grpc'):
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_attributes),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = data_taxonomy.ListDataAttributesResponse(
-            next_page_token='next_page_token_value',
-            unreachable_locations=['unreachable_locations_value'],
-        )
-        response = client.list_data_attributes(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = data_taxonomy.ListDataAttributesRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListDataAttributesPager)
-    assert response.next_page_token == 'next_page_token_value'
-    assert response.unreachable_locations == ['unreachable_locations_value']
-
-
-def test_list_data_attributes_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = data_taxonomy.ListDataAttributesRequest(
-        parent='parent_value',
-        page_token='page_token_value',
-        filter='filter_value',
-        order_by='order_by_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_attributes),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.list_data_attributes(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == data_taxonomy.ListDataAttributesRequest(
-            parent='parent_value',
-            page_token='page_token_value',
-            filter='filter_value',
-            order_by='order_by_value',
-        )
-
-def test_list_data_attributes_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = DataTaxonomyServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.list_data_attributes in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.list_data_attributes] = mock_rpc
-        request = {}
-        client.list_data_attributes(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.list_data_attributes(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_list_data_attributes_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = DataTaxonomyServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.list_data_attributes in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.list_data_attributes] = mock_rpc
-
-        request = {}
-        await client.list_data_attributes(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.list_data_attributes(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_list_data_attributes_async(transport: str = 'grpc_asyncio', request_type=data_taxonomy.ListDataAttributesRequest):
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_attributes),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(data_taxonomy.ListDataAttributesResponse(
-            next_page_token='next_page_token_value',
-            unreachable_locations=['unreachable_locations_value'],
-        ))
-        response = await client.list_data_attributes(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = data_taxonomy.ListDataAttributesRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListDataAttributesAsyncPager)
-    assert response.next_page_token == 'next_page_token_value'
-    assert response.unreachable_locations == ['unreachable_locations_value']
-
-
-@pytest.mark.asyncio
-async def test_list_data_attributes_async_from_dict():
-    await test_list_data_attributes_async(request_type=dict)
-
-def test_list_data_attributes_field_headers():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = data_taxonomy.ListDataAttributesRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_attributes),
-            '__call__') as call:
-        call.return_value = data_taxonomy.ListDataAttributesResponse()
-        client.list_data_attributes(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_list_data_attributes_field_headers_async():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = data_taxonomy.ListDataAttributesRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_attributes),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(data_taxonomy.ListDataAttributesResponse())
-        await client.list_data_attributes(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-def test_list_data_attributes_flattened():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_attributes),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = data_taxonomy.ListDataAttributesResponse()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.list_data_attributes(
-            parent='parent_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-
-
-def test_list_data_attributes_flattened_error():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.list_data_attributes(
-            data_taxonomy.ListDataAttributesRequest(),
-            parent='parent_value',
-        )
-
-@pytest.mark.asyncio
-async def test_list_data_attributes_flattened_async():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_attributes),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = data_taxonomy.ListDataAttributesResponse()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(data_taxonomy.ListDataAttributesResponse())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.list_data_attributes(
-            parent='parent_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_list_data_attributes_flattened_error_async():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.list_data_attributes(
-            data_taxonomy.ListDataAttributesRequest(),
-            parent='parent_value',
-        )
-
-
-def test_list_data_attributes_pager(transport_name: str = "grpc"):
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_attributes),
-            '__call__') as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            data_taxonomy.ListDataAttributesResponse(
-                data_attributes=[
-                    data_taxonomy.DataAttribute(),
-                    data_taxonomy.DataAttribute(),
-                    data_taxonomy.DataAttribute(),
-                ],
-                next_page_token='abc',
-            ),
-            data_taxonomy.ListDataAttributesResponse(
-                data_attributes=[],
-                next_page_token='def',
-            ),
-            data_taxonomy.ListDataAttributesResponse(
-                data_attributes=[
-                    data_taxonomy.DataAttribute(),
-                ],
-                next_page_token='ghi',
-            ),
-            data_taxonomy.ListDataAttributesResponse(
-                data_attributes=[
-                    data_taxonomy.DataAttribute(),
-                    data_taxonomy.DataAttribute(),
-                ],
-            ),
-            RuntimeError,
-        )
-
-        expected_metadata = ()
-        retry = retries.Retry()
-        timeout = 5
-        expected_metadata = tuple(expected_metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ('parent', ''),
-            )),
-        )
-        pager = client.list_data_attributes(request={}, retry=retry, timeout=timeout)
-
-        assert pager._metadata == expected_metadata
-        assert pager._retry == retry
-        assert pager._timeout == timeout
-
-        results = list(pager)
-        assert len(results) == 6
-        assert all(isinstance(i, data_taxonomy.DataAttribute)
-                   for i in results)
-def test_list_data_attributes_pages(transport_name: str = "grpc"):
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_attributes),
-            '__call__') as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            data_taxonomy.ListDataAttributesResponse(
-                data_attributes=[
-                    data_taxonomy.DataAttribute(),
-                    data_taxonomy.DataAttribute(),
-                    data_taxonomy.DataAttribute(),
-                ],
-                next_page_token='abc',
-            ),
-            data_taxonomy.ListDataAttributesResponse(
-                data_attributes=[],
-                next_page_token='def',
-            ),
-            data_taxonomy.ListDataAttributesResponse(
-                data_attributes=[
-                    data_taxonomy.DataAttribute(),
-                ],
-                next_page_token='ghi',
-            ),
-            data_taxonomy.ListDataAttributesResponse(
-                data_attributes=[
-                    data_taxonomy.DataAttribute(),
-                    data_taxonomy.DataAttribute(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = list(client.list_data_attributes(request={}).pages)
-        for page_, token in zip(pages, ['abc','def','ghi', '']):
-            assert page_.raw_page.next_page_token == token
-
-@pytest.mark.asyncio
-async def test_list_data_attributes_async_pager():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_attributes),
-            '__call__', new_callable=mock.AsyncMock) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            data_taxonomy.ListDataAttributesResponse(
-                data_attributes=[
-                    data_taxonomy.DataAttribute(),
-                    data_taxonomy.DataAttribute(),
-                    data_taxonomy.DataAttribute(),
-                ],
-                next_page_token='abc',
-            ),
-            data_taxonomy.ListDataAttributesResponse(
-                data_attributes=[],
-                next_page_token='def',
-            ),
-            data_taxonomy.ListDataAttributesResponse(
-                data_attributes=[
-                    data_taxonomy.DataAttribute(),
-                ],
-                next_page_token='ghi',
-            ),
-            data_taxonomy.ListDataAttributesResponse(
-                data_attributes=[
-                    data_taxonomy.DataAttribute(),
-                    data_taxonomy.DataAttribute(),
-                ],
-            ),
-            RuntimeError,
-        )
-        async_pager = await client.list_data_attributes(request={},)
-        assert async_pager.next_page_token == 'abc'
-        responses = []
-        async for response in async_pager: # pragma: no branch
-            responses.append(response)
-
-        assert len(responses) == 6
-        assert all(isinstance(i, data_taxonomy.DataAttribute)
-                for i in responses)
-
-
-@pytest.mark.asyncio
-async def test_list_data_attributes_async_pages():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_attributes),
-            '__call__', new_callable=mock.AsyncMock) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            data_taxonomy.ListDataAttributesResponse(
-                data_attributes=[
-                    data_taxonomy.DataAttribute(),
-                    data_taxonomy.DataAttribute(),
-                    data_taxonomy.DataAttribute(),
-                ],
-                next_page_token='abc',
-            ),
-            data_taxonomy.ListDataAttributesResponse(
-                data_attributes=[],
-                next_page_token='def',
-            ),
-            data_taxonomy.ListDataAttributesResponse(
-                data_attributes=[
-                    data_taxonomy.DataAttribute(),
-                ],
-                next_page_token='ghi',
-            ),
-            data_taxonomy.ListDataAttributesResponse(
-                data_attributes=[
-                    data_taxonomy.DataAttribute(),
-                    data_taxonomy.DataAttribute(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = []
-        # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch`
-        # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372
-        async for page_ in ( # pragma: no branch
-            await client.list_data_attributes(request={})
-        ).pages:
-            pages.append(page_)
-        for page_, token in zip(pages, ['abc','def','ghi', '']):
-            assert page_.raw_page.next_page_token == token
-
-@pytest.mark.parametrize("request_type", [
-  data_taxonomy.GetDataAttributeRequest,
-  dict,
-])
-def test_get_data_attribute(request_type, transport: str = 'grpc'):
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_data_attribute),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = data_taxonomy.DataAttribute(
-            name='name_value',
-            uid='uid_value',
-            description='description_value',
-            display_name='display_name_value',
-            parent_id='parent_id_value',
-            attribute_count=1628,
-            etag='etag_value',
-        )
-        response = client.get_data_attribute(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = data_taxonomy.GetDataAttributeRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, data_taxonomy.DataAttribute)
-    assert response.name == 'name_value'
-    assert response.uid == 'uid_value'
-    assert response.description == 'description_value'
-    assert response.display_name == 'display_name_value'
-    assert response.parent_id == 'parent_id_value'
-    assert response.attribute_count == 1628
-    assert response.etag == 'etag_value'
-
-
-def test_get_data_attribute_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = data_taxonomy.GetDataAttributeRequest(
-        name='name_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_data_attribute),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.get_data_attribute(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == data_taxonomy.GetDataAttributeRequest(
-            name='name_value',
-        )
-
-def test_get_data_attribute_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = DataTaxonomyServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.get_data_attribute in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.get_data_attribute] = mock_rpc
-        request = {}
-        client.get_data_attribute(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.get_data_attribute(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_get_data_attribute_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = DataTaxonomyServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.get_data_attribute in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.get_data_attribute] = mock_rpc
-
-        request = {}
-        await client.get_data_attribute(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.get_data_attribute(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_get_data_attribute_async(transport: str = 'grpc_asyncio', request_type=data_taxonomy.GetDataAttributeRequest):
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_data_attribute),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(data_taxonomy.DataAttribute(
-            name='name_value',
-            uid='uid_value',
-            description='description_value',
-            display_name='display_name_value',
-            parent_id='parent_id_value',
-            attribute_count=1628,
-            etag='etag_value',
-        ))
-        response = await client.get_data_attribute(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = data_taxonomy.GetDataAttributeRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, data_taxonomy.DataAttribute)
-    assert response.name == 'name_value'
-    assert response.uid == 'uid_value'
-    assert response.description == 'description_value'
-    assert response.display_name == 'display_name_value'
-    assert response.parent_id == 'parent_id_value'
-    assert response.attribute_count == 1628
-    assert response.etag == 'etag_value'
-
-
-@pytest.mark.asyncio
-async def test_get_data_attribute_async_from_dict():
-    await test_get_data_attribute_async(request_type=dict)
-
-def test_get_data_attribute_field_headers():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = data_taxonomy.GetDataAttributeRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_data_attribute),
-            '__call__') as call:
-        call.return_value = data_taxonomy.DataAttribute()
-        client.get_data_attribute(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_get_data_attribute_field_headers_async():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = data_taxonomy.GetDataAttributeRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_data_attribute),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(data_taxonomy.DataAttribute())
-        await client.get_data_attribute(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-def test_get_data_attribute_flattened():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_data_attribute),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = data_taxonomy.DataAttribute()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.get_data_attribute(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-
-def test_get_data_attribute_flattened_error():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.get_data_attribute(
-            data_taxonomy.GetDataAttributeRequest(),
-            name='name_value',
-        )
-
-@pytest.mark.asyncio
-async def test_get_data_attribute_flattened_async():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_data_attribute),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = data_taxonomy.DataAttribute()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(data_taxonomy.DataAttribute())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.get_data_attribute(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_get_data_attribute_flattened_error_async():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.get_data_attribute(
-            data_taxonomy.GetDataAttributeRequest(),
-            name='name_value',
-        )
-
-
-def test_credentials_transport_error():
-    # It is an error to provide credentials and a transport instance.
-    transport = transports.DataTaxonomyServiceGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    with pytest.raises(ValueError):
-        client = DataTaxonomyServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport=transport,
-        )
-
-    # It is an error to provide a credentials file and a transport instance.
-    transport = transports.DataTaxonomyServiceGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    with pytest.raises(ValueError):
-        client = DataTaxonomyServiceClient(
-            client_options={"credentials_file": "credentials.json"},
-            transport=transport,
-        )
-
-    # It is an error to provide an api_key and a transport instance.
-    transport = transports.DataTaxonomyServiceGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    options = client_options.ClientOptions()
-    options.api_key = "api_key"
-    with pytest.raises(ValueError):
-        client = DataTaxonomyServiceClient(
-            client_options=options,
-            transport=transport,
-        )
-
-    # It is an error to provide an api_key and a credential.
-    options = client_options.ClientOptions()
-    options.api_key = "api_key"
-    with pytest.raises(ValueError):
-        client = DataTaxonomyServiceClient(
-            client_options=options,
-            credentials=ga_credentials.AnonymousCredentials()
-        )
-
-    # It is an error to provide scopes and a transport instance.
-    transport = transports.DataTaxonomyServiceGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    with pytest.raises(ValueError):
-        client = DataTaxonomyServiceClient(
-            client_options={"scopes": ["1", "2"]},
-            transport=transport,
-        )
-
-
-def test_transport_instance():
-    # A client may be instantiated with a custom transport instance.
-    transport = transports.DataTaxonomyServiceGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    client = DataTaxonomyServiceClient(transport=transport)
-    assert client.transport is transport
-
-def test_transport_get_channel():
-    # A client may be instantiated with a custom transport instance.
-    transport = transports.DataTaxonomyServiceGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    channel = transport.grpc_channel
-    assert channel
-
-    transport = transports.DataTaxonomyServiceGrpcAsyncIOTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    channel = transport.grpc_channel
-    assert channel
-
-@pytest.mark.parametrize("transport_class", [
-    transports.DataTaxonomyServiceGrpcTransport,
-    transports.DataTaxonomyServiceGrpcAsyncIOTransport,
-])
-def test_transport_adc(transport_class):
-    # Test default credentials are used if not provided.
-    with mock.patch.object(google.auth, 'default') as adc:
-        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
-        transport_class()
-        adc.assert_called_once()
-
-def test_transport_kind_grpc():
-    transport = DataTaxonomyServiceClient.get_transport_class("grpc")(
-        credentials=ga_credentials.AnonymousCredentials()
-    )
-    assert transport.kind == "grpc"
-
-
-def test_initialize_client_w_grpc():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc"
-    )
-    assert client is not None
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_create_data_taxonomy_empty_call_grpc():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_data_taxonomy),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.create_data_taxonomy(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = gcd_data_taxonomy.CreateDataTaxonomyRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_update_data_taxonomy_empty_call_grpc():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_data_taxonomy),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.update_data_taxonomy(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = gcd_data_taxonomy.UpdateDataTaxonomyRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_delete_data_taxonomy_empty_call_grpc():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_data_taxonomy),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.delete_data_taxonomy(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = data_taxonomy.DeleteDataTaxonomyRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_list_data_taxonomies_empty_call_grpc():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_taxonomies),
-            '__call__') as call:
-        call.return_value = data_taxonomy.ListDataTaxonomiesResponse()
-        client.list_data_taxonomies(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = data_taxonomy.ListDataTaxonomiesRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_get_data_taxonomy_empty_call_grpc():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_data_taxonomy),
-            '__call__') as call:
-        call.return_value = data_taxonomy.DataTaxonomy()
-        client.get_data_taxonomy(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = data_taxonomy.GetDataTaxonomyRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_create_data_attribute_binding_empty_call_grpc():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_data_attribute_binding),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.create_data_attribute_binding(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = data_taxonomy.CreateDataAttributeBindingRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_update_data_attribute_binding_empty_call_grpc():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_data_attribute_binding),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.update_data_attribute_binding(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = data_taxonomy.UpdateDataAttributeBindingRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_delete_data_attribute_binding_empty_call_grpc():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_data_attribute_binding),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.delete_data_attribute_binding(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = data_taxonomy.DeleteDataAttributeBindingRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_list_data_attribute_bindings_empty_call_grpc():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_attribute_bindings),
-            '__call__') as call:
-        call.return_value = data_taxonomy.ListDataAttributeBindingsResponse()
-        client.list_data_attribute_bindings(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = data_taxonomy.ListDataAttributeBindingsRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_get_data_attribute_binding_empty_call_grpc():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_data_attribute_binding),
-            '__call__') as call:
-        call.return_value = data_taxonomy.DataAttributeBinding()
-        client.get_data_attribute_binding(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = data_taxonomy.GetDataAttributeBindingRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_create_data_attribute_empty_call_grpc():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_data_attribute),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.create_data_attribute(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = data_taxonomy.CreateDataAttributeRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_update_data_attribute_empty_call_grpc():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_data_attribute),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.update_data_attribute(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = data_taxonomy.UpdateDataAttributeRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_delete_data_attribute_empty_call_grpc():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_data_attribute),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.delete_data_attribute(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = data_taxonomy.DeleteDataAttributeRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_list_data_attributes_empty_call_grpc():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_attributes),
-            '__call__') as call:
-        call.return_value = data_taxonomy.ListDataAttributesResponse()
-        client.list_data_attributes(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = data_taxonomy.ListDataAttributesRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_get_data_attribute_empty_call_grpc():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_data_attribute),
-            '__call__') as call:
-        call.return_value = data_taxonomy.DataAttribute()
-        client.get_data_attribute(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = data_taxonomy.GetDataAttributeRequest()
-
-        assert args[0] == request_msg
-
-
-def test_transport_kind_grpc_asyncio():
-    transport = DataTaxonomyServiceAsyncClient.get_transport_class("grpc_asyncio")(
-        credentials=async_anonymous_credentials()
-    )
-    assert transport.kind == "grpc_asyncio"
-
-
-def test_initialize_client_w_grpc_asyncio():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio"
-    )
-    assert client is not None
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_create_data_taxonomy_empty_call_grpc_asyncio():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_data_taxonomy),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        await client.create_data_taxonomy(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = gcd_data_taxonomy.CreateDataTaxonomyRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_update_data_taxonomy_empty_call_grpc_asyncio():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_data_taxonomy),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        await client.update_data_taxonomy(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = gcd_data_taxonomy.UpdateDataTaxonomyRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_delete_data_taxonomy_empty_call_grpc_asyncio():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_data_taxonomy),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        await client.delete_data_taxonomy(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = data_taxonomy.DeleteDataTaxonomyRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_list_data_taxonomies_empty_call_grpc_asyncio():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_taxonomies),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(data_taxonomy.ListDataTaxonomiesResponse(
-            next_page_token='next_page_token_value',
-            unreachable_locations=['unreachable_locations_value'],
-        ))
-        await client.list_data_taxonomies(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = data_taxonomy.ListDataTaxonomiesRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_get_data_taxonomy_empty_call_grpc_asyncio():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_data_taxonomy),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(data_taxonomy.DataTaxonomy(
-            name='name_value',
-            uid='uid_value',
-            description='description_value',
-            display_name='display_name_value',
-            attribute_count=1628,
-            etag='etag_value',
-            class_count=1182,
-        ))
-        await client.get_data_taxonomy(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = data_taxonomy.GetDataTaxonomyRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_create_data_attribute_binding_empty_call_grpc_asyncio():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_data_attribute_binding),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        await client.create_data_attribute_binding(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = data_taxonomy.CreateDataAttributeBindingRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_update_data_attribute_binding_empty_call_grpc_asyncio():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_data_attribute_binding),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        await client.update_data_attribute_binding(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = data_taxonomy.UpdateDataAttributeBindingRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_delete_data_attribute_binding_empty_call_grpc_asyncio():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_data_attribute_binding),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        await client.delete_data_attribute_binding(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = data_taxonomy.DeleteDataAttributeBindingRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_list_data_attribute_bindings_empty_call_grpc_asyncio():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_attribute_bindings),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(data_taxonomy.ListDataAttributeBindingsResponse(
-            next_page_token='next_page_token_value',
-            unreachable_locations=['unreachable_locations_value'],
-        ))
-        await client.list_data_attribute_bindings(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = data_taxonomy.ListDataAttributeBindingsRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_get_data_attribute_binding_empty_call_grpc_asyncio():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_data_attribute_binding),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(data_taxonomy.DataAttributeBinding(
-            name='name_value',
-            uid='uid_value',
-            description='description_value',
-            display_name='display_name_value',
-            etag='etag_value',
-            attributes=['attributes_value'],
-        ))
-        await client.get_data_attribute_binding(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = data_taxonomy.GetDataAttributeBindingRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_create_data_attribute_empty_call_grpc_asyncio():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_data_attribute),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        await client.create_data_attribute(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = data_taxonomy.CreateDataAttributeRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_update_data_attribute_empty_call_grpc_asyncio():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_data_attribute),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        await client.update_data_attribute(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = data_taxonomy.UpdateDataAttributeRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_delete_data_attribute_empty_call_grpc_asyncio():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_data_attribute),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        await client.delete_data_attribute(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = data_taxonomy.DeleteDataAttributeRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_list_data_attributes_empty_call_grpc_asyncio():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_data_attributes),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(data_taxonomy.ListDataAttributesResponse(
-            next_page_token='next_page_token_value',
-            unreachable_locations=['unreachable_locations_value'],
-        ))
-        await client.list_data_attributes(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = data_taxonomy.ListDataAttributesRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_get_data_attribute_empty_call_grpc_asyncio():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_data_attribute),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(data_taxonomy.DataAttribute(
-            name='name_value',
-            uid='uid_value',
-            description='description_value',
-            display_name='display_name_value',
-            parent_id='parent_id_value',
-            attribute_count=1628,
-            etag='etag_value',
-        ))
-        await client.get_data_attribute(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = data_taxonomy.GetDataAttributeRequest()
-
-        assert args[0] == request_msg
-
-
-def test_transport_grpc_default():
-    # A client should use the gRPC transport by default.
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    assert isinstance(
-        client.transport,
-        transports.DataTaxonomyServiceGrpcTransport,
-    )
-
-def test_data_taxonomy_service_base_transport_error():
-    # Passing both a credentials object and credentials_file should raise an error
-    with pytest.raises(core_exceptions.DuplicateCredentialArgs):
-        transport = transports.DataTaxonomyServiceTransport(
-            credentials=ga_credentials.AnonymousCredentials(),
-            credentials_file="credentials.json"
-        )
-
-
-def test_data_taxonomy_service_base_transport():
-    # Instantiate the base transport.
-    with mock.patch('google.cloud.dataplex_v1.services.data_taxonomy_service.transports.DataTaxonomyServiceTransport.__init__') as Transport:
-        Transport.return_value = None
-        transport = transports.DataTaxonomyServiceTransport(
-            credentials=ga_credentials.AnonymousCredentials(),
-        )
-
-    # Every method on the transport should just blindly
-    # raise NotImplementedError.
-    methods = (
-        'create_data_taxonomy',
-        'update_data_taxonomy',
-        'delete_data_taxonomy',
-        'list_data_taxonomies',
-        'get_data_taxonomy',
-        'create_data_attribute_binding',
-        'update_data_attribute_binding',
-        'delete_data_attribute_binding',
-        'list_data_attribute_bindings',
-        'get_data_attribute_binding',
-        'create_data_attribute',
-        'update_data_attribute',
-        'delete_data_attribute',
-        'list_data_attributes',
-        'get_data_attribute',
-        'get_location',
-        'list_locations',
-        'get_operation',
-        'cancel_operation',
-        'delete_operation',
-        'list_operations',
-    )
-    for method in methods:
-        with pytest.raises(NotImplementedError):
-            getattr(transport, method)(request=object())
-
-    with pytest.raises(NotImplementedError):
-        transport.close()
-
-    # Additionally, the LRO client (a property) should
-    # also raise NotImplementedError
-    with pytest.raises(NotImplementedError):
-        transport.operations_client
-
-    # Catch all for all remaining methods and properties
-    remainder = [
-        'kind',
-    ]
-    for r in remainder:
-        with pytest.raises(NotImplementedError):
-            getattr(transport, r)()
-
-
-def test_data_taxonomy_service_base_transport_with_credentials_file():
-    # Instantiate the base transport with a credentials file
-    with mock.patch.object(google.auth, 'load_credentials_from_file', autospec=True) as load_creds, mock.patch('google.cloud.dataplex_v1.services.data_taxonomy_service.transports.DataTaxonomyServiceTransport._prep_wrapped_messages') as Transport:
-        Transport.return_value = None
-        load_creds.return_value = (ga_credentials.AnonymousCredentials(), None)
-        transport = transports.DataTaxonomyServiceTransport(
-            credentials_file="credentials.json",
-            quota_project_id="octopus",
-        )
-        load_creds.assert_called_once_with("credentials.json",
-            scopes=None,
-            default_scopes=(
-            'https://www.googleapis.com/auth/cloud-platform',
-),
-            quota_project_id="octopus",
-        )
-
-
-def test_data_taxonomy_service_base_transport_with_adc():
-    # Test the default credentials are used if credentials and credentials_file are None.
-    with mock.patch.object(google.auth, 'default', autospec=True) as adc, mock.patch('google.cloud.dataplex_v1.services.data_taxonomy_service.transports.DataTaxonomyServiceTransport._prep_wrapped_messages') as Transport:
-        Transport.return_value = None
-        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
-        transport = transports.DataTaxonomyServiceTransport()
-        adc.assert_called_once()
-
-
-def test_data_taxonomy_service_auth_adc():
-    # If no credentials are provided, we should use ADC credentials.
-    with mock.patch.object(google.auth, 'default', autospec=True) as adc:
-        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
-        DataTaxonomyServiceClient()
-        adc.assert_called_once_with(
-            scopes=None,
-            default_scopes=(
-            'https://www.googleapis.com/auth/cloud-platform',
-),
-            quota_project_id=None,
-        )
-
-
-@pytest.mark.parametrize(
-    "transport_class",
-    [
-        transports.DataTaxonomyServiceGrpcTransport,
-        transports.DataTaxonomyServiceGrpcAsyncIOTransport,
-    ],
-)
-def test_data_taxonomy_service_transport_auth_adc(transport_class):
-    # If credentials and host are not provided, the transport class should use
-    # ADC credentials.
-    with mock.patch.object(google.auth, 'default', autospec=True) as adc:
-        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
-        transport_class(quota_project_id="octopus", scopes=["1", "2"])
-        adc.assert_called_once_with(
-            scopes=["1", "2"],
-            default_scopes=(                'https://www.googleapis.com/auth/cloud-platform',),
-            quota_project_id="octopus",
-        )
-
-
-@pytest.mark.parametrize(
-    "transport_class",
-    [
-        transports.DataTaxonomyServiceGrpcTransport,
-        transports.DataTaxonomyServiceGrpcAsyncIOTransport,
-    ],
-)
-def test_data_taxonomy_service_transport_auth_gdch_credentials(transport_class):
-    host = 'https://language.com'
-    api_audience_tests = [None, 'https://language2.com']
-    api_audience_expect = [host, 'https://language2.com']
-    for t, e in zip(api_audience_tests, api_audience_expect):
-        with mock.patch.object(google.auth, 'default', autospec=True) as adc:
-            gdch_mock = mock.MagicMock()
-            type(gdch_mock).with_gdch_audience = mock.PropertyMock(return_value=gdch_mock)
-            adc.return_value = (gdch_mock, None)
-            transport_class(host=host, api_audience=t)
-            gdch_mock.with_gdch_audience.assert_called_once_with(
-                e
-            )
-
-
-@pytest.mark.parametrize(
-    "transport_class,grpc_helpers",
-    [
-        (transports.DataTaxonomyServiceGrpcTransport, grpc_helpers),
-        (transports.DataTaxonomyServiceGrpcAsyncIOTransport, grpc_helpers_async)
-    ],
-)
-def test_data_taxonomy_service_transport_create_channel(transport_class, grpc_helpers):
-    # If credentials and host are not provided, the transport class should use
-    # ADC credentials.
-    with mock.patch.object(google.auth, "default", autospec=True) as adc, mock.patch.object(
-        grpc_helpers, "create_channel", autospec=True
-    ) as create_channel:
-        creds = ga_credentials.AnonymousCredentials()
-        adc.return_value = (creds, None)
-        transport_class(
-            quota_project_id="octopus",
-            scopes=["1", "2"]
-        )
-
-        create_channel.assert_called_with(
-            "dataplex.googleapis.com:443",
-            credentials=creds,
-            credentials_file=None,
-            quota_project_id="octopus",
-            default_scopes=(
-                'https://www.googleapis.com/auth/cloud-platform',
-),
-            scopes=["1", "2"],
-            default_host="dataplex.googleapis.com",
-            ssl_credentials=None,
-            options=[
-                ("grpc.max_send_message_length", -1),
-                ("grpc.max_receive_message_length", -1),
-            ],
-        )
-
-
-@pytest.mark.parametrize("transport_class", [transports.DataTaxonomyServiceGrpcTransport, transports.DataTaxonomyServiceGrpcAsyncIOTransport])
-def test_data_taxonomy_service_grpc_transport_client_cert_source_for_mtls(
-    transport_class
-):
-    cred = ga_credentials.AnonymousCredentials()
-
-    # Check ssl_channel_credentials is used if provided.
-    with mock.patch.object(transport_class, "create_channel") as mock_create_channel:
-        mock_ssl_channel_creds = mock.Mock()
-        transport_class(
-            host="squid.clam.whelk",
-            credentials=cred,
-            ssl_channel_credentials=mock_ssl_channel_creds
-        )
-        mock_create_channel.assert_called_once_with(
-            "squid.clam.whelk:443",
-            credentials=cred,
-            credentials_file=None,
-            scopes=None,
-            ssl_credentials=mock_ssl_channel_creds,
-            quota_project_id=None,
-            options=[
-                ("grpc.max_send_message_length", -1),
-                ("grpc.max_receive_message_length", -1),
-            ],
-        )
-
-    # Check if ssl_channel_credentials is not provided, then client_cert_source_for_mtls
-    # is used.
-    with mock.patch.object(transport_class, "create_channel", return_value=mock.Mock()):
-        with mock.patch("grpc.ssl_channel_credentials") as mock_ssl_cred:
-            transport_class(
-                credentials=cred,
-                client_cert_source_for_mtls=client_cert_source_callback
-            )
-            expected_cert, expected_key = client_cert_source_callback()
-            mock_ssl_cred.assert_called_once_with(
-                certificate_chain=expected_cert,
-                private_key=expected_key
-            )
-
-
-@pytest.mark.parametrize("transport_name", [
-    "grpc",
-    "grpc_asyncio",
-])
-def test_data_taxonomy_service_host_no_port(transport_name):
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        client_options=client_options.ClientOptions(api_endpoint='dataplex.googleapis.com'),
-         transport=transport_name,
-    )
-    assert client.transport._host == (
-        'dataplex.googleapis.com:443'
-    )
-
-@pytest.mark.parametrize("transport_name", [
-    "grpc",
-    "grpc_asyncio",
-])
-def test_data_taxonomy_service_host_with_port(transport_name):
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        client_options=client_options.ClientOptions(api_endpoint='dataplex.googleapis.com:8000'),
-        transport=transport_name,
-    )
-    assert client.transport._host == (
-        'dataplex.googleapis.com:8000'
-    )
-
-def test_data_taxonomy_service_grpc_transport_channel():
-    channel = grpc.secure_channel('http://localhost/', grpc.local_channel_credentials())
-
-    # Check that channel is used if provided.
-    transport = transports.DataTaxonomyServiceGrpcTransport(
-        host="squid.clam.whelk",
-        channel=channel,
-    )
-    assert transport.grpc_channel == channel
-    assert transport._host == "squid.clam.whelk:443"
-    assert transport._ssl_channel_credentials == None
-
-
-def test_data_taxonomy_service_grpc_asyncio_transport_channel():
-    channel = aio.secure_channel('http://localhost/', grpc.local_channel_credentials())
-
-    # Check that channel is used if provided.
-    transport = transports.DataTaxonomyServiceGrpcAsyncIOTransport(
-        host="squid.clam.whelk",
-        channel=channel,
-    )
-    assert transport.grpc_channel == channel
-    assert transport._host == "squid.clam.whelk:443"
-    assert transport._ssl_channel_credentials == None
-
-
-# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are
-# removed from grpc/grpc_asyncio transport constructor.
-@pytest.mark.parametrize("transport_class", [transports.DataTaxonomyServiceGrpcTransport, transports.DataTaxonomyServiceGrpcAsyncIOTransport])
-def test_data_taxonomy_service_transport_channel_mtls_with_client_cert_source(
-    transport_class
-):
-    with mock.patch("grpc.ssl_channel_credentials", autospec=True) as grpc_ssl_channel_cred:
-        with mock.patch.object(transport_class, "create_channel") as grpc_create_channel:
-            mock_ssl_cred = mock.Mock()
-            grpc_ssl_channel_cred.return_value = mock_ssl_cred
-
-            mock_grpc_channel = mock.Mock()
-            grpc_create_channel.return_value = mock_grpc_channel
-
-            cred = ga_credentials.AnonymousCredentials()
-            with pytest.warns(DeprecationWarning):
-                with mock.patch.object(google.auth, 'default') as adc:
-                    adc.return_value = (cred, None)
-                    transport = transport_class(
-                        host="squid.clam.whelk",
-                        api_mtls_endpoint="mtls.squid.clam.whelk",
-                        client_cert_source=client_cert_source_callback,
-                    )
-                    adc.assert_called_once()
-
-            grpc_ssl_channel_cred.assert_called_once_with(
-                certificate_chain=b"cert bytes", private_key=b"key bytes"
-            )
-            grpc_create_channel.assert_called_once_with(
-                "mtls.squid.clam.whelk:443",
-                credentials=cred,
-                credentials_file=None,
-                scopes=None,
-                ssl_credentials=mock_ssl_cred,
-                quota_project_id=None,
-                options=[
-                    ("grpc.max_send_message_length", -1),
-                    ("grpc.max_receive_message_length", -1),
-                ],
-            )
-            assert transport.grpc_channel == mock_grpc_channel
-            assert transport._ssl_channel_credentials == mock_ssl_cred
-
-
-# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are
-# removed from grpc/grpc_asyncio transport constructor.
-@pytest.mark.parametrize("transport_class", [transports.DataTaxonomyServiceGrpcTransport, transports.DataTaxonomyServiceGrpcAsyncIOTransport])
-def test_data_taxonomy_service_transport_channel_mtls_with_adc(
-    transport_class
-):
-    mock_ssl_cred = mock.Mock()
-    with mock.patch.multiple(
-        "google.auth.transport.grpc.SslCredentials",
-        __init__=mock.Mock(return_value=None),
-        ssl_credentials=mock.PropertyMock(return_value=mock_ssl_cred),
-    ):
-        with mock.patch.object(transport_class, "create_channel") as grpc_create_channel:
-            mock_grpc_channel = mock.Mock()
-            grpc_create_channel.return_value = mock_grpc_channel
-            mock_cred = mock.Mock()
-
-            with pytest.warns(DeprecationWarning):
-                transport = transport_class(
-                    host="squid.clam.whelk",
-                    credentials=mock_cred,
-                    api_mtls_endpoint="mtls.squid.clam.whelk",
-                    client_cert_source=None,
-                )
-
-            grpc_create_channel.assert_called_once_with(
-                "mtls.squid.clam.whelk:443",
-                credentials=mock_cred,
-                credentials_file=None,
-                scopes=None,
-                ssl_credentials=mock_ssl_cred,
-                quota_project_id=None,
-                options=[
-                    ("grpc.max_send_message_length", -1),
-                    ("grpc.max_receive_message_length", -1),
-                ],
-            )
-            assert transport.grpc_channel == mock_grpc_channel
-
-
-def test_data_taxonomy_service_grpc_lro_client():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-    transport = client.transport
-
-    # Ensure that we have a api-core operations client.
-    assert isinstance(
-        transport.operations_client,
-        operations_v1.OperationsClient,
-    )
-
-    # Ensure that subsequent calls to the property send the exact same object.
-    assert transport.operations_client is transport.operations_client
-
-
-def test_data_taxonomy_service_grpc_lro_async_client():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc_asyncio',
-    )
-    transport = client.transport
-
-    # Ensure that we have a api-core operations client.
-    assert isinstance(
-        transport.operations_client,
-        operations_v1.OperationsAsyncClient,
-    )
-
-    # Ensure that subsequent calls to the property send the exact same object.
-    assert transport.operations_client is transport.operations_client
-
-
-def test_data_attribute_path():
-    project = "squid"
-    location = "clam"
-    dataTaxonomy = "whelk"
-    data_attribute_id = "octopus"
-    expected = "projects/{project}/locations/{location}/dataTaxonomies/{dataTaxonomy}/attributes/{data_attribute_id}".format(project=project, location=location, dataTaxonomy=dataTaxonomy, data_attribute_id=data_attribute_id, )
-    actual = DataTaxonomyServiceClient.data_attribute_path(project, location, dataTaxonomy, data_attribute_id)
-    assert expected == actual
-
-
-def test_parse_data_attribute_path():
-    expected = {
-        "project": "oyster",
-        "location": "nudibranch",
-        "dataTaxonomy": "cuttlefish",
-        "data_attribute_id": "mussel",
-    }
-    path = DataTaxonomyServiceClient.data_attribute_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = DataTaxonomyServiceClient.parse_data_attribute_path(path)
-    assert expected == actual
-
-def test_data_attribute_binding_path():
-    project = "winkle"
-    location = "nautilus"
-    data_attribute_binding_id = "scallop"
-    expected = "projects/{project}/locations/{location}/dataAttributeBindings/{data_attribute_binding_id}".format(project=project, location=location, data_attribute_binding_id=data_attribute_binding_id, )
-    actual = DataTaxonomyServiceClient.data_attribute_binding_path(project, location, data_attribute_binding_id)
-    assert expected == actual
-
-
-def test_parse_data_attribute_binding_path():
-    expected = {
-        "project": "abalone",
-        "location": "squid",
-        "data_attribute_binding_id": "clam",
-    }
-    path = DataTaxonomyServiceClient.data_attribute_binding_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = DataTaxonomyServiceClient.parse_data_attribute_binding_path(path)
-    assert expected == actual
-
-def test_data_taxonomy_path():
-    project = "whelk"
-    location = "octopus"
-    data_taxonomy_id = "oyster"
-    expected = "projects/{project}/locations/{location}/dataTaxonomies/{data_taxonomy_id}".format(project=project, location=location, data_taxonomy_id=data_taxonomy_id, )
-    actual = DataTaxonomyServiceClient.data_taxonomy_path(project, location, data_taxonomy_id)
-    assert expected == actual
-
-
-def test_parse_data_taxonomy_path():
-    expected = {
-        "project": "nudibranch",
-        "location": "cuttlefish",
-        "data_taxonomy_id": "mussel",
-    }
-    path = DataTaxonomyServiceClient.data_taxonomy_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = DataTaxonomyServiceClient.parse_data_taxonomy_path(path)
-    assert expected == actual
-
-def test_common_billing_account_path():
-    billing_account = "winkle"
-    expected = "billingAccounts/{billing_account}".format(billing_account=billing_account, )
-    actual = DataTaxonomyServiceClient.common_billing_account_path(billing_account)
-    assert expected == actual
-
-
-def test_parse_common_billing_account_path():
-    expected = {
-        "billing_account": "nautilus",
-    }
-    path = DataTaxonomyServiceClient.common_billing_account_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = DataTaxonomyServiceClient.parse_common_billing_account_path(path)
-    assert expected == actual
-
-def test_common_folder_path():
-    folder = "scallop"
-    expected = "folders/{folder}".format(folder=folder, )
-    actual = DataTaxonomyServiceClient.common_folder_path(folder)
-    assert expected == actual
-
-
-def test_parse_common_folder_path():
-    expected = {
-        "folder": "abalone",
-    }
-    path = DataTaxonomyServiceClient.common_folder_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = DataTaxonomyServiceClient.parse_common_folder_path(path)
-    assert expected == actual
-
-def test_common_organization_path():
-    organization = "squid"
-    expected = "organizations/{organization}".format(organization=organization, )
-    actual = DataTaxonomyServiceClient.common_organization_path(organization)
-    assert expected == actual
-
-
-def test_parse_common_organization_path():
-    expected = {
-        "organization": "clam",
-    }
-    path = DataTaxonomyServiceClient.common_organization_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = DataTaxonomyServiceClient.parse_common_organization_path(path)
-    assert expected == actual
-
-def test_common_project_path():
-    project = "whelk"
-    expected = "projects/{project}".format(project=project, )
-    actual = DataTaxonomyServiceClient.common_project_path(project)
-    assert expected == actual
-
-
-def test_parse_common_project_path():
-    expected = {
-        "project": "octopus",
-    }
-    path = DataTaxonomyServiceClient.common_project_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = DataTaxonomyServiceClient.parse_common_project_path(path)
-    assert expected == actual
-
-def test_common_location_path():
-    project = "oyster"
-    location = "nudibranch"
-    expected = "projects/{project}/locations/{location}".format(project=project, location=location, )
-    actual = DataTaxonomyServiceClient.common_location_path(project, location)
-    assert expected == actual
-
-
-def test_parse_common_location_path():
-    expected = {
-        "project": "cuttlefish",
-        "location": "mussel",
-    }
-    path = DataTaxonomyServiceClient.common_location_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = DataTaxonomyServiceClient.parse_common_location_path(path)
-    assert expected == actual
-
-
-def test_client_with_default_client_info():
-    client_info = gapic_v1.client_info.ClientInfo()
-
-    with mock.patch.object(transports.DataTaxonomyServiceTransport, '_prep_wrapped_messages') as prep:
-        client = DataTaxonomyServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            client_info=client_info,
-        )
-        prep.assert_called_once_with(client_info)
-
-    with mock.patch.object(transports.DataTaxonomyServiceTransport, '_prep_wrapped_messages') as prep:
-        transport_class = DataTaxonomyServiceClient.get_transport_class()
-        transport = transport_class(
-            credentials=ga_credentials.AnonymousCredentials(),
-            client_info=client_info,
-        )
-        prep.assert_called_once_with(client_info)
-
-
-def test_delete_operation(transport: str = "grpc"):
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.DeleteOperationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = None
-        response = client.delete_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert response is None
-@pytest.mark.asyncio
-async def test_delete_operation_async(transport: str = "grpc_asyncio"):
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.DeleteOperationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            None
-        )
-        response = await client.delete_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert response is None
-
-def test_delete_operation_field_headers():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.DeleteOperationRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
-        call.return_value =  None
-
-        client.delete_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-@pytest.mark.asyncio
-async def test_delete_operation_field_headers_async():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.DeleteOperationRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            None
-        )
-        await client.delete_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-
-def test_delete_operation_from_dict():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = None
-
-        response = client.delete_operation(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-@pytest.mark.asyncio
-async def test_delete_operation_from_dict_async():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            None
-        )
-        response = await client.delete_operation(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-def test_cancel_operation(transport: str = "grpc"):
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.CancelOperationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = None
-        response = client.cancel_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert response is None
-@pytest.mark.asyncio
-async def test_cancel_operation_async(transport: str = "grpc_asyncio"):
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.CancelOperationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            None
-        )
-        response = await client.cancel_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert response is None
-
-def test_cancel_operation_field_headers():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.CancelOperationRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
-        call.return_value =  None
-
-        client.cancel_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-@pytest.mark.asyncio
-async def test_cancel_operation_field_headers_async():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.CancelOperationRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            None
-        )
-        await client.cancel_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-
-def test_cancel_operation_from_dict():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = None
-
-        response = client.cancel_operation(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-@pytest.mark.asyncio
-async def test_cancel_operation_from_dict_async():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            None
-        )
-        response = await client.cancel_operation(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-def test_get_operation(transport: str = "grpc"):
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.GetOperationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation()
-        response = client.get_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, operations_pb2.Operation)
-@pytest.mark.asyncio
-async def test_get_operation_async(transport: str = "grpc_asyncio"):
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.GetOperationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation()
-        )
-        response = await client.get_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, operations_pb2.Operation)
-
-def test_get_operation_field_headers():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.GetOperationRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        call.return_value = operations_pb2.Operation()
-
-        client.get_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-@pytest.mark.asyncio
-async def test_get_operation_field_headers_async():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.GetOperationRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation()
-        )
-        await client.get_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-
-def test_get_operation_from_dict():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation()
-
-        response = client.get_operation(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-@pytest.mark.asyncio
-async def test_get_operation_from_dict_async():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation()
-        )
-        response = await client.get_operation(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-def test_list_operations(transport: str = "grpc"):
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.ListOperationsRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.ListOperationsResponse()
-        response = client.list_operations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, operations_pb2.ListOperationsResponse)
-@pytest.mark.asyncio
-async def test_list_operations_async(transport: str = "grpc_asyncio"):
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.ListOperationsRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.ListOperationsResponse()
-        )
-        response = await client.list_operations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, operations_pb2.ListOperationsResponse)
-
-def test_list_operations_field_headers():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.ListOperationsRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        call.return_value = operations_pb2.ListOperationsResponse()
-
-        client.list_operations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-@pytest.mark.asyncio
-async def test_list_operations_field_headers_async():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.ListOperationsRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.ListOperationsResponse()
-        )
-        await client.list_operations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-
-def test_list_operations_from_dict():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.ListOperationsResponse()
-
-        response = client.list_operations(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-@pytest.mark.asyncio
-async def test_list_operations_from_dict_async():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.ListOperationsResponse()
-        )
-        response = await client.list_operations(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-def test_list_locations(transport: str = "grpc"):
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = locations_pb2.ListLocationsRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = locations_pb2.ListLocationsResponse()
-        response = client.list_locations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, locations_pb2.ListLocationsResponse)
-@pytest.mark.asyncio
-async def test_list_locations_async(transport: str = "grpc_asyncio"):
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = locations_pb2.ListLocationsRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            locations_pb2.ListLocationsResponse()
-        )
-        response = await client.list_locations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, locations_pb2.ListLocationsResponse)
-
-def test_list_locations_field_headers():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = locations_pb2.ListLocationsRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
-        call.return_value = locations_pb2.ListLocationsResponse()
-
-        client.list_locations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-@pytest.mark.asyncio
-async def test_list_locations_field_headers_async():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = locations_pb2.ListLocationsRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            locations_pb2.ListLocationsResponse()
-        )
-        await client.list_locations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-
-def test_list_locations_from_dict():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = locations_pb2.ListLocationsResponse()
-
-        response = client.list_locations(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-@pytest.mark.asyncio
-async def test_list_locations_from_dict_async():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            locations_pb2.ListLocationsResponse()
-        )
-        response = await client.list_locations(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-def test_get_location(transport: str = "grpc"):
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = locations_pb2.GetLocationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_location), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = locations_pb2.Location()
-        response = client.get_location(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, locations_pb2.Location)
-@pytest.mark.asyncio
-async def test_get_location_async(transport: str = "grpc_asyncio"):
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = locations_pb2.GetLocationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_location), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            locations_pb2.Location()
-        )
-        response = await client.get_location(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, locations_pb2.Location)
-
-def test_get_location_field_headers():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials())
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = locations_pb2.GetLocationRequest()
-    request.name = "locations/abc"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_location), "__call__") as call:
-        call.return_value = locations_pb2.Location()
-
-        client.get_location(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations/abc",) in kw["metadata"]
-@pytest.mark.asyncio
-async def test_get_location_field_headers_async():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials()
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = locations_pb2.GetLocationRequest()
-    request.name = "locations/abc"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_location), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            locations_pb2.Location()
-        )
-        await client.get_location(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations/abc",) in kw["metadata"]
-
-def test_get_location_from_dict():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = locations_pb2.Location()
-
-        response = client.get_location(
-            request={
-                "name": "locations/abc",
-            }
-        )
-        call.assert_called()
-@pytest.mark.asyncio
-async def test_get_location_from_dict_async():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            locations_pb2.Location()
-        )
-        response = await client.get_location(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-def test_transport_close_grpc():
-    client = DataTaxonomyServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc"
-    )
-    with mock.patch.object(type(getattr(client.transport, "_grpc_channel")), "close") as close:
-        with client:
-            close.assert_not_called()
-        close.assert_called_once()
-
-
-@pytest.mark.asyncio
-async def test_transport_close_grpc_asyncio():
-    client = DataTaxonomyServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio"
-    )
-    with mock.patch.object(type(getattr(client.transport, "_grpc_channel")), "close") as close:
-        async with client:
-            close.assert_not_called()
-        close.assert_called_once()
-
-
-def test_client_ctx():
-    transports = [
-        'grpc',
-    ]
-    for transport in transports:
-        client = DataTaxonomyServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport=transport
-        )
-        # Test client calls underlying transport.
-        with mock.patch.object(type(client.transport), "close") as close:
-            close.assert_not_called()
-            with client:
-                pass
-            close.assert_called()
-
-@pytest.mark.parametrize("client_class,transport_class", [
-    (DataTaxonomyServiceClient, transports.DataTaxonomyServiceGrpcTransport),
-    (DataTaxonomyServiceAsyncClient, transports.DataTaxonomyServiceGrpcAsyncIOTransport),
-])
-def test_api_key_credentials(client_class, transport_class):
-    with mock.patch.object(
-        google.auth._default, "get_api_key_credentials", create=True
-    ) as get_api_key_credentials:
-        mock_cred = mock.Mock()
-        get_api_key_credentials.return_value = mock_cred
-        options = client_options.ClientOptions()
-        options.api_key = "api_key"
-        with mock.patch.object(transport_class, "__init__") as patched:
-            patched.return_value = None
-            client = client_class(client_options=options)
-            patched.assert_called_once_with(
-                credentials=mock_cred,
-                credentials_file=None,
-                host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
-                scopes=None,
-                client_cert_source_for_mtls=None,
-                quota_project_id=None,
-                client_info=transports.base.DEFAULT_CLIENT_INFO,
-                always_use_jwt_access=True,
-                api_audience=None,
-            )
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/tests/unit/gapic/dataplex_v1/test_dataplex_service.py b/owl-bot-staging/google-cloud-dataplex/v1/tests/unit/gapic/dataplex_v1/test_dataplex_service.py
deleted file mode 100644
index 40bd69b6232e..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/tests/unit/gapic/dataplex_v1/test_dataplex_service.py
+++ /dev/null
@@ -1,16649 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-import os
-# try/except added for compatibility with python < 3.8
-try:
-    from unittest import mock
-    from unittest.mock import AsyncMock  # pragma: NO COVER
-except ImportError:  # pragma: NO COVER
-    import mock
-
-import grpc
-from grpc.experimental import aio
-import math
-import pytest
-from google.api_core import api_core_version
-from proto.marshal.rules.dates import DurationRule, TimestampRule
-from proto.marshal.rules import wrappers
-
-try:
-    from google.auth.aio import credentials as ga_credentials_async
-    HAS_GOOGLE_AUTH_AIO = True
-except ImportError: # pragma: NO COVER
-    HAS_GOOGLE_AUTH_AIO = False
-
-from google.api_core import client_options
-from google.api_core import exceptions as core_exceptions
-from google.api_core import future
-from google.api_core import gapic_v1
-from google.api_core import grpc_helpers
-from google.api_core import grpc_helpers_async
-from google.api_core import operation
-from google.api_core import operation_async  # type: ignore
-from google.api_core import operations_v1
-from google.api_core import path_template
-from google.api_core import retry as retries
-from google.auth import credentials as ga_credentials
-from google.auth.exceptions import MutualTLSChannelError
-from google.cloud.dataplex_v1.services.dataplex_service import DataplexServiceAsyncClient
-from google.cloud.dataplex_v1.services.dataplex_service import DataplexServiceClient
-from google.cloud.dataplex_v1.services.dataplex_service import pagers
-from google.cloud.dataplex_v1.services.dataplex_service import transports
-from google.cloud.dataplex_v1.types import analyze
-from google.cloud.dataplex_v1.types import resources
-from google.cloud.dataplex_v1.types import service
-from google.cloud.dataplex_v1.types import tasks
-from google.cloud.location import locations_pb2
-from google.iam.v1 import iam_policy_pb2  # type: ignore
-from google.iam.v1 import options_pb2  # type: ignore
-from google.iam.v1 import policy_pb2  # type: ignore
-from google.longrunning import operations_pb2 # type: ignore
-from google.oauth2 import service_account
-from google.protobuf import duration_pb2  # type: ignore
-from google.protobuf import empty_pb2  # type: ignore
-from google.protobuf import field_mask_pb2  # type: ignore
-from google.protobuf import timestamp_pb2  # type: ignore
-import google.auth
-
-
-async def mock_async_gen(data, chunk_size=1):
-    for i in range(0, len(data)):  # pragma: NO COVER
-        chunk = data[i : i + chunk_size]
-        yield chunk.encode("utf-8")
-
-def client_cert_source_callback():
-    return b"cert bytes", b"key bytes"
-
-# TODO: use async auth anon credentials by default once the minimum version of google-auth is upgraded.
-# See related issue: https://github.com/googleapis/gapic-generator-python/issues/2107.
-def async_anonymous_credentials():
-    if HAS_GOOGLE_AUTH_AIO:
-        return ga_credentials_async.AnonymousCredentials()
-    return ga_credentials.AnonymousCredentials()
-
-# If default endpoint is localhost, then default mtls endpoint will be the same.
-# This method modifies the default endpoint so the client can produce a different
-# mtls endpoint for endpoint testing purposes.
-def modify_default_endpoint(client):
-    return "foo.googleapis.com" if ("localhost" in client.DEFAULT_ENDPOINT) else client.DEFAULT_ENDPOINT
-
-# If default endpoint template is localhost, then default mtls endpoint will be the same.
-# This method modifies the default endpoint template so the client can produce a different
-# mtls endpoint for endpoint testing purposes.
-def modify_default_endpoint_template(client):
-    return "test.{UNIVERSE_DOMAIN}" if ("localhost" in client._DEFAULT_ENDPOINT_TEMPLATE) else client._DEFAULT_ENDPOINT_TEMPLATE
-
-
-def test__get_default_mtls_endpoint():
-    api_endpoint = "example.googleapis.com"
-    api_mtls_endpoint = "example.mtls.googleapis.com"
-    sandbox_endpoint = "example.sandbox.googleapis.com"
-    sandbox_mtls_endpoint = "example.mtls.sandbox.googleapis.com"
-    non_googleapi = "api.example.com"
-
-    assert DataplexServiceClient._get_default_mtls_endpoint(None) is None
-    assert DataplexServiceClient._get_default_mtls_endpoint(api_endpoint) == api_mtls_endpoint
-    assert DataplexServiceClient._get_default_mtls_endpoint(api_mtls_endpoint) == api_mtls_endpoint
-    assert DataplexServiceClient._get_default_mtls_endpoint(sandbox_endpoint) == sandbox_mtls_endpoint
-    assert DataplexServiceClient._get_default_mtls_endpoint(sandbox_mtls_endpoint) == sandbox_mtls_endpoint
-    assert DataplexServiceClient._get_default_mtls_endpoint(non_googleapi) == non_googleapi
-
-def test__read_environment_variables():
-    assert DataplexServiceClient._read_environment_variables() == (False, "auto", None)
-
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
-        assert DataplexServiceClient._read_environment_variables() == (True, "auto", None)
-
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "false"}):
-        assert DataplexServiceClient._read_environment_variables() == (False, "auto", None)
-
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}):
-        with pytest.raises(ValueError) as excinfo:
-            DataplexServiceClient._read_environment_variables()
-    assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`"
-
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
-        assert DataplexServiceClient._read_environment_variables() == (False, "never", None)
-
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
-        assert DataplexServiceClient._read_environment_variables() == (False, "always", None)
-
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "auto"}):
-        assert DataplexServiceClient._read_environment_variables() == (False, "auto", None)
-
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}):
-        with pytest.raises(MutualTLSChannelError) as excinfo:
-            DataplexServiceClient._read_environment_variables()
-    assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`"
-
-    with mock.patch.dict(os.environ, {"GOOGLE_CLOUD_UNIVERSE_DOMAIN": "foo.com"}):
-        assert DataplexServiceClient._read_environment_variables() == (False, "auto", "foo.com")
-
-def test__get_client_cert_source():
-    mock_provided_cert_source = mock.Mock()
-    mock_default_cert_source = mock.Mock()
-
-    assert DataplexServiceClient._get_client_cert_source(None, False) is None
-    assert DataplexServiceClient._get_client_cert_source(mock_provided_cert_source, False) is None
-    assert DataplexServiceClient._get_client_cert_source(mock_provided_cert_source, True) == mock_provided_cert_source
-
-    with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True):
-        with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=mock_default_cert_source):
-            assert DataplexServiceClient._get_client_cert_source(None, True) is mock_default_cert_source
-            assert DataplexServiceClient._get_client_cert_source(mock_provided_cert_source, "true") is mock_provided_cert_source
-
-@mock.patch.object(DataplexServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DataplexServiceClient))
-@mock.patch.object(DataplexServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DataplexServiceAsyncClient))
-def test__get_api_endpoint():
-    api_override = "foo.com"
-    mock_client_cert_source = mock.Mock()
-    default_universe = DataplexServiceClient._DEFAULT_UNIVERSE
-    default_endpoint = DataplexServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=default_universe)
-    mock_universe = "bar.com"
-    mock_endpoint = DataplexServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=mock_universe)
-
-    assert DataplexServiceClient._get_api_endpoint(api_override, mock_client_cert_source, default_universe, "always") == api_override
-    assert DataplexServiceClient._get_api_endpoint(None, mock_client_cert_source, default_universe, "auto") == DataplexServiceClient.DEFAULT_MTLS_ENDPOINT
-    assert DataplexServiceClient._get_api_endpoint(None, None, default_universe, "auto") == default_endpoint
-    assert DataplexServiceClient._get_api_endpoint(None, None, default_universe, "always") == DataplexServiceClient.DEFAULT_MTLS_ENDPOINT
-    assert DataplexServiceClient._get_api_endpoint(None, mock_client_cert_source, default_universe, "always") == DataplexServiceClient.DEFAULT_MTLS_ENDPOINT
-    assert DataplexServiceClient._get_api_endpoint(None, None, mock_universe, "never") == mock_endpoint
-    assert DataplexServiceClient._get_api_endpoint(None, None, default_universe, "never") == default_endpoint
-
-    with pytest.raises(MutualTLSChannelError) as excinfo:
-        DataplexServiceClient._get_api_endpoint(None, mock_client_cert_source, mock_universe, "auto")
-    assert str(excinfo.value) == "mTLS is not supported in any universe other than googleapis.com."
-
-
-def test__get_universe_domain():
-    client_universe_domain = "foo.com"
-    universe_domain_env = "bar.com"
-
-    assert DataplexServiceClient._get_universe_domain(client_universe_domain, universe_domain_env) == client_universe_domain
-    assert DataplexServiceClient._get_universe_domain(None, universe_domain_env) == universe_domain_env
-    assert DataplexServiceClient._get_universe_domain(None, None) == DataplexServiceClient._DEFAULT_UNIVERSE
-
-    with pytest.raises(ValueError) as excinfo:
-        DataplexServiceClient._get_universe_domain("", None)
-    assert str(excinfo.value) == "Universe Domain cannot be an empty string."
-
-
-@pytest.mark.parametrize("client_class,transport_name", [
-    (DataplexServiceClient, "grpc"),
-    (DataplexServiceAsyncClient, "grpc_asyncio"),
-])
-def test_dataplex_service_client_from_service_account_info(client_class, transport_name):
-    creds = ga_credentials.AnonymousCredentials()
-    with mock.patch.object(service_account.Credentials, 'from_service_account_info') as factory:
-        factory.return_value = creds
-        info = {"valid": True}
-        client = client_class.from_service_account_info(info, transport=transport_name)
-        assert client.transport._credentials == creds
-        assert isinstance(client, client_class)
-
-        assert client.transport._host == (
-            'dataplex.googleapis.com:443'
-        )
-
-
-@pytest.mark.parametrize("transport_class,transport_name", [
-    (transports.DataplexServiceGrpcTransport, "grpc"),
-    (transports.DataplexServiceGrpcAsyncIOTransport, "grpc_asyncio"),
-])
-def test_dataplex_service_client_service_account_always_use_jwt(transport_class, transport_name):
-    with mock.patch.object(service_account.Credentials, 'with_always_use_jwt_access', create=True) as use_jwt:
-        creds = service_account.Credentials(None, None, None)
-        transport = transport_class(credentials=creds, always_use_jwt_access=True)
-        use_jwt.assert_called_once_with(True)
-
-    with mock.patch.object(service_account.Credentials, 'with_always_use_jwt_access', create=True) as use_jwt:
-        creds = service_account.Credentials(None, None, None)
-        transport = transport_class(credentials=creds, always_use_jwt_access=False)
-        use_jwt.assert_not_called()
-
-
-@pytest.mark.parametrize("client_class,transport_name", [
-    (DataplexServiceClient, "grpc"),
-    (DataplexServiceAsyncClient, "grpc_asyncio"),
-])
-def test_dataplex_service_client_from_service_account_file(client_class, transport_name):
-    creds = ga_credentials.AnonymousCredentials()
-    with mock.patch.object(service_account.Credentials, 'from_service_account_file') as factory:
-        factory.return_value = creds
-        client = client_class.from_service_account_file("dummy/file/path.json", transport=transport_name)
-        assert client.transport._credentials == creds
-        assert isinstance(client, client_class)
-
-        client = client_class.from_service_account_json("dummy/file/path.json", transport=transport_name)
-        assert client.transport._credentials == creds
-        assert isinstance(client, client_class)
-
-        assert client.transport._host == (
-            'dataplex.googleapis.com:443'
-        )
-
-
-def test_dataplex_service_client_get_transport_class():
-    transport = DataplexServiceClient.get_transport_class()
-    available_transports = [
-        transports.DataplexServiceGrpcTransport,
-    ]
-    assert transport in available_transports
-
-    transport = DataplexServiceClient.get_transport_class("grpc")
-    assert transport == transports.DataplexServiceGrpcTransport
-
-
-@pytest.mark.parametrize("client_class,transport_class,transport_name", [
-    (DataplexServiceClient, transports.DataplexServiceGrpcTransport, "grpc"),
-    (DataplexServiceAsyncClient, transports.DataplexServiceGrpcAsyncIOTransport, "grpc_asyncio"),
-])
-@mock.patch.object(DataplexServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DataplexServiceClient))
-@mock.patch.object(DataplexServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DataplexServiceAsyncClient))
-def test_dataplex_service_client_client_options(client_class, transport_class, transport_name):
-    # Check that if channel is provided we won't create a new one.
-    with mock.patch.object(DataplexServiceClient, 'get_transport_class') as gtc:
-        transport = transport_class(
-            credentials=ga_credentials.AnonymousCredentials()
-        )
-        client = client_class(transport=transport)
-        gtc.assert_not_called()
-
-    # Check that if channel is provided via str we will create a new one.
-    with mock.patch.object(DataplexServiceClient, 'get_transport_class') as gtc:
-        client = client_class(transport=transport_name)
-        gtc.assert_called()
-
-    # Check the case api_endpoint is provided.
-    options = client_options.ClientOptions(api_endpoint="squid.clam.whelk")
-    with mock.patch.object(transport_class, '__init__') as patched:
-        patched.return_value = None
-        client = client_class(transport=transport_name, client_options=options)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file=None,
-            host="squid.clam.whelk",
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-
-    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is
-    # "never".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
-        with mock.patch.object(transport_class, '__init__') as patched:
-            patched.return_value = None
-            client = client_class(transport=transport_name)
-            patched.assert_called_once_with(
-                credentials=None,
-                credentials_file=None,
-                host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
-                scopes=None,
-                client_cert_source_for_mtls=None,
-                quota_project_id=None,
-                client_info=transports.base.DEFAULT_CLIENT_INFO,
-                always_use_jwt_access=True,
-                api_audience=None,
-            )
-
-    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is
-    # "always".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
-        with mock.patch.object(transport_class, '__init__') as patched:
-            patched.return_value = None
-            client = client_class(transport=transport_name)
-            patched.assert_called_once_with(
-                credentials=None,
-                credentials_file=None,
-                host=client.DEFAULT_MTLS_ENDPOINT,
-                scopes=None,
-                client_cert_source_for_mtls=None,
-                quota_project_id=None,
-                client_info=transports.base.DEFAULT_CLIENT_INFO,
-                always_use_jwt_access=True,
-                api_audience=None,
-            )
-
-    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT has
-    # unsupported value.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}):
-        with pytest.raises(MutualTLSChannelError) as excinfo:
-            client = client_class(transport=transport_name)
-    assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`"
-
-    # Check the case GOOGLE_API_USE_CLIENT_CERTIFICATE has unsupported value.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}):
-        with pytest.raises(ValueError) as excinfo:
-            client = client_class(transport=transport_name)
-    assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`"
-
-    # Check the case quota_project_id is provided
-    options = client_options.ClientOptions(quota_project_id="octopus")
-    with mock.patch.object(transport_class, '__init__') as patched:
-        patched.return_value = None
-        client = client_class(client_options=options, transport=transport_name)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file=None,
-            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id="octopus",
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-    # Check the case api_endpoint is provided
-    options = client_options.ClientOptions(api_audience="https://language.googleapis.com")
-    with mock.patch.object(transport_class, '__init__') as patched:
-        patched.return_value = None
-        client = client_class(client_options=options, transport=transport_name)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file=None,
-            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience="https://language.googleapis.com"
-        )
-
-@pytest.mark.parametrize("client_class,transport_class,transport_name,use_client_cert_env", [
-    (DataplexServiceClient, transports.DataplexServiceGrpcTransport, "grpc", "true"),
-    (DataplexServiceAsyncClient, transports.DataplexServiceGrpcAsyncIOTransport, "grpc_asyncio", "true"),
-    (DataplexServiceClient, transports.DataplexServiceGrpcTransport, "grpc", "false"),
-    (DataplexServiceAsyncClient, transports.DataplexServiceGrpcAsyncIOTransport, "grpc_asyncio", "false"),
-])
-@mock.patch.object(DataplexServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DataplexServiceClient))
-@mock.patch.object(DataplexServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DataplexServiceAsyncClient))
-@mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "auto"})
-def test_dataplex_service_client_mtls_env_auto(client_class, transport_class, transport_name, use_client_cert_env):
-    # This tests the endpoint autoswitch behavior. Endpoint is autoswitched to the default
-    # mtls endpoint, if GOOGLE_API_USE_CLIENT_CERTIFICATE is "true" and client cert exists.
-
-    # Check the case client_cert_source is provided. Whether client cert is used depends on
-    # GOOGLE_API_USE_CLIENT_CERTIFICATE value.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}):
-        options = client_options.ClientOptions(client_cert_source=client_cert_source_callback)
-        with mock.patch.object(transport_class, '__init__') as patched:
-            patched.return_value = None
-            client = client_class(client_options=options, transport=transport_name)
-
-            if use_client_cert_env == "false":
-                expected_client_cert_source = None
-                expected_host = client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE)
-            else:
-                expected_client_cert_source = client_cert_source_callback
-                expected_host = client.DEFAULT_MTLS_ENDPOINT
-
-            patched.assert_called_once_with(
-                credentials=None,
-                credentials_file=None,
-                host=expected_host,
-                scopes=None,
-                client_cert_source_for_mtls=expected_client_cert_source,
-                quota_project_id=None,
-                client_info=transports.base.DEFAULT_CLIENT_INFO,
-                always_use_jwt_access=True,
-                api_audience=None,
-            )
-
-    # Check the case ADC client cert is provided. Whether client cert is used depends on
-    # GOOGLE_API_USE_CLIENT_CERTIFICATE value.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}):
-        with mock.patch.object(transport_class, '__init__') as patched:
-            with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True):
-                with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=client_cert_source_callback):
-                    if use_client_cert_env == "false":
-                        expected_host = client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE)
-                        expected_client_cert_source = None
-                    else:
-                        expected_host = client.DEFAULT_MTLS_ENDPOINT
-                        expected_client_cert_source = client_cert_source_callback
-
-                    patched.return_value = None
-                    client = client_class(transport=transport_name)
-                    patched.assert_called_once_with(
-                        credentials=None,
-                        credentials_file=None,
-                        host=expected_host,
-                        scopes=None,
-                        client_cert_source_for_mtls=expected_client_cert_source,
-                        quota_project_id=None,
-                        client_info=transports.base.DEFAULT_CLIENT_INFO,
-                        always_use_jwt_access=True,
-                        api_audience=None,
-                    )
-
-    # Check the case client_cert_source and ADC client cert are not provided.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}):
-        with mock.patch.object(transport_class, '__init__') as patched:
-            with mock.patch("google.auth.transport.mtls.has_default_client_cert_source", return_value=False):
-                patched.return_value = None
-                client = client_class(transport=transport_name)
-                patched.assert_called_once_with(
-                    credentials=None,
-                    credentials_file=None,
-                    host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
-                    scopes=None,
-                    client_cert_source_for_mtls=None,
-                    quota_project_id=None,
-                    client_info=transports.base.DEFAULT_CLIENT_INFO,
-                    always_use_jwt_access=True,
-                    api_audience=None,
-                )
-
-
-@pytest.mark.parametrize("client_class", [
-    DataplexServiceClient, DataplexServiceAsyncClient
-])
-@mock.patch.object(DataplexServiceClient, "DEFAULT_ENDPOINT", modify_default_endpoint(DataplexServiceClient))
-@mock.patch.object(DataplexServiceAsyncClient, "DEFAULT_ENDPOINT", modify_default_endpoint(DataplexServiceAsyncClient))
-def test_dataplex_service_client_get_mtls_endpoint_and_cert_source(client_class):
-    mock_client_cert_source = mock.Mock()
-
-    # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "true".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
-        mock_api_endpoint = "foo"
-        options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint)
-        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(options)
-        assert api_endpoint == mock_api_endpoint
-        assert cert_source == mock_client_cert_source
-
-    # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "false".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "false"}):
-        mock_client_cert_source = mock.Mock()
-        mock_api_endpoint = "foo"
-        options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint)
-        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(options)
-        assert api_endpoint == mock_api_endpoint
-        assert cert_source is None
-
-    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "never".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
-        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
-        assert api_endpoint == client_class.DEFAULT_ENDPOINT
-        assert cert_source is None
-
-    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "always".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
-        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
-        assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT
-        assert cert_source is None
-
-    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert doesn't exist.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
-        with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=False):
-            api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
-            assert api_endpoint == client_class.DEFAULT_ENDPOINT
-            assert cert_source is None
-
-    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert exists.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
-        with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True):
-            with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=mock_client_cert_source):
-                api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
-                assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT
-                assert cert_source == mock_client_cert_source
-
-    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT has
-    # unsupported value.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}):
-        with pytest.raises(MutualTLSChannelError) as excinfo:
-            client_class.get_mtls_endpoint_and_cert_source()
-
-        assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`"
-
-    # Check the case GOOGLE_API_USE_CLIENT_CERTIFICATE has unsupported value.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}):
-        with pytest.raises(ValueError) as excinfo:
-            client_class.get_mtls_endpoint_and_cert_source()
-
-        assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`"
-
-@pytest.mark.parametrize("client_class", [
-    DataplexServiceClient, DataplexServiceAsyncClient
-])
-@mock.patch.object(DataplexServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DataplexServiceClient))
-@mock.patch.object(DataplexServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DataplexServiceAsyncClient))
-def test_dataplex_service_client_client_api_endpoint(client_class):
-    mock_client_cert_source = client_cert_source_callback
-    api_override = "foo.com"
-    default_universe = DataplexServiceClient._DEFAULT_UNIVERSE
-    default_endpoint = DataplexServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=default_universe)
-    mock_universe = "bar.com"
-    mock_endpoint = DataplexServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=mock_universe)
-
-    # If ClientOptions.api_endpoint is set and GOOGLE_API_USE_CLIENT_CERTIFICATE="true",
-    # use ClientOptions.api_endpoint as the api endpoint regardless.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
-        with mock.patch("google.auth.transport.requests.AuthorizedSession.configure_mtls_channel"):
-            options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=api_override)
-            client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials())
-            assert client.api_endpoint == api_override
-
-    # If ClientOptions.api_endpoint is not set and GOOGLE_API_USE_MTLS_ENDPOINT="never",
-    # use the _DEFAULT_ENDPOINT_TEMPLATE populated with GDU as the api endpoint.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
-        client = client_class(credentials=ga_credentials.AnonymousCredentials())
-        assert client.api_endpoint == default_endpoint
-
-    # If ClientOptions.api_endpoint is not set and GOOGLE_API_USE_MTLS_ENDPOINT="always",
-    # use the DEFAULT_MTLS_ENDPOINT as the api endpoint.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
-        client = client_class(credentials=ga_credentials.AnonymousCredentials())
-        assert client.api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT
-
-    # If ClientOptions.api_endpoint is not set, GOOGLE_API_USE_MTLS_ENDPOINT="auto" (default),
-    # GOOGLE_API_USE_CLIENT_CERTIFICATE="false" (default), default cert source doesn't exist,
-    # and ClientOptions.universe_domain="bar.com",
-    # use the _DEFAULT_ENDPOINT_TEMPLATE populated with universe domain as the api endpoint.
-    options = client_options.ClientOptions()
-    universe_exists = hasattr(options, "universe_domain")
-    if universe_exists:
-        options = client_options.ClientOptions(universe_domain=mock_universe)
-        client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials())
-    else:
-        client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials())
-    assert client.api_endpoint == (mock_endpoint if universe_exists else default_endpoint)
-    assert client.universe_domain == (mock_universe if universe_exists else default_universe)
-
-    # If ClientOptions does not have a universe domain attribute and GOOGLE_API_USE_MTLS_ENDPOINT="never",
-    # use the _DEFAULT_ENDPOINT_TEMPLATE populated with GDU as the api endpoint.
-    options = client_options.ClientOptions()
-    if hasattr(options, "universe_domain"):
-        delattr(options, "universe_domain")
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
-        client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials())
-        assert client.api_endpoint == default_endpoint
-
-
-@pytest.mark.parametrize("client_class,transport_class,transport_name", [
-    (DataplexServiceClient, transports.DataplexServiceGrpcTransport, "grpc"),
-    (DataplexServiceAsyncClient, transports.DataplexServiceGrpcAsyncIOTransport, "grpc_asyncio"),
-])
-def test_dataplex_service_client_client_options_scopes(client_class, transport_class, transport_name):
-    # Check the case scopes are provided.
-    options = client_options.ClientOptions(
-        scopes=["1", "2"],
-    )
-    with mock.patch.object(transport_class, '__init__') as patched:
-        patched.return_value = None
-        client = client_class(client_options=options, transport=transport_name)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file=None,
-            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
-            scopes=["1", "2"],
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-
-@pytest.mark.parametrize("client_class,transport_class,transport_name,grpc_helpers", [
-    (DataplexServiceClient, transports.DataplexServiceGrpcTransport, "grpc", grpc_helpers),
-    (DataplexServiceAsyncClient, transports.DataplexServiceGrpcAsyncIOTransport, "grpc_asyncio", grpc_helpers_async),
-])
-def test_dataplex_service_client_client_options_credentials_file(client_class, transport_class, transport_name, grpc_helpers):
-    # Check the case credentials file is provided.
-    options = client_options.ClientOptions(
-        credentials_file="credentials.json"
-    )
-
-    with mock.patch.object(transport_class, '__init__') as patched:
-        patched.return_value = None
-        client = client_class(client_options=options, transport=transport_name)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file="credentials.json",
-            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-
-def test_dataplex_service_client_client_options_from_dict():
-    with mock.patch('google.cloud.dataplex_v1.services.dataplex_service.transports.DataplexServiceGrpcTransport.__init__') as grpc_transport:
-        grpc_transport.return_value = None
-        client = DataplexServiceClient(
-            client_options={'api_endpoint': 'squid.clam.whelk'}
-        )
-        grpc_transport.assert_called_once_with(
-            credentials=None,
-            credentials_file=None,
-            host="squid.clam.whelk",
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-
-
-@pytest.mark.parametrize("client_class,transport_class,transport_name,grpc_helpers", [
-    (DataplexServiceClient, transports.DataplexServiceGrpcTransport, "grpc", grpc_helpers),
-    (DataplexServiceAsyncClient, transports.DataplexServiceGrpcAsyncIOTransport, "grpc_asyncio", grpc_helpers_async),
-])
-def test_dataplex_service_client_create_channel_credentials_file(client_class, transport_class, transport_name, grpc_helpers):
-    # Check the case credentials file is provided.
-    options = client_options.ClientOptions(
-        credentials_file="credentials.json"
-    )
-
-    with mock.patch.object(transport_class, '__init__') as patched:
-        patched.return_value = None
-        client = client_class(client_options=options, transport=transport_name)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file="credentials.json",
-            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-
-    # test that the credentials from file are saved and used as the credentials.
-    with mock.patch.object(
-        google.auth, "load_credentials_from_file", autospec=True
-    ) as load_creds, mock.patch.object(
-        google.auth, "default", autospec=True
-    ) as adc, mock.patch.object(
-        grpc_helpers, "create_channel"
-    ) as create_channel:
-        creds = ga_credentials.AnonymousCredentials()
-        file_creds = ga_credentials.AnonymousCredentials()
-        load_creds.return_value = (file_creds, None)
-        adc.return_value = (creds, None)
-        client = client_class(client_options=options, transport=transport_name)
-        create_channel.assert_called_with(
-            "dataplex.googleapis.com:443",
-            credentials=file_creds,
-            credentials_file=None,
-            quota_project_id=None,
-            default_scopes=(
-                'https://www.googleapis.com/auth/cloud-platform',
-),
-            scopes=None,
-            default_host="dataplex.googleapis.com",
-            ssl_credentials=None,
-            options=[
-                ("grpc.max_send_message_length", -1),
-                ("grpc.max_receive_message_length", -1),
-            ],
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  service.CreateLakeRequest,
-  dict,
-])
-def test_create_lake(request_type, transport: str = 'grpc'):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_lake),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/spam')
-        response = client.create_lake(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = service.CreateLakeRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-def test_create_lake_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = service.CreateLakeRequest(
-        parent='parent_value',
-        lake_id='lake_id_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_lake),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.create_lake(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == service.CreateLakeRequest(
-            parent='parent_value',
-            lake_id='lake_id_value',
-        )
-
-def test_create_lake_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = DataplexServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.create_lake in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.create_lake] = mock_rpc
-        request = {}
-        client.create_lake(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        client.create_lake(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_create_lake_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = DataplexServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.create_lake in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.create_lake] = mock_rpc
-
-        request = {}
-        await client.create_lake(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        await client.create_lake(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_create_lake_async(transport: str = 'grpc_asyncio', request_type=service.CreateLakeRequest):
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_lake),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        response = await client.create_lake(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = service.CreateLakeRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-@pytest.mark.asyncio
-async def test_create_lake_async_from_dict():
-    await test_create_lake_async(request_type=dict)
-
-def test_create_lake_field_headers():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.CreateLakeRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_lake),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.create_lake(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_create_lake_field_headers_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.CreateLakeRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_lake),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
-        await client.create_lake(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-def test_create_lake_flattened():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_lake),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.create_lake(
-            parent='parent_value',
-            lake=resources.Lake(name='name_value'),
-            lake_id='lake_id_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-        arg = args[0].lake
-        mock_val = resources.Lake(name='name_value')
-        assert arg == mock_val
-        arg = args[0].lake_id
-        mock_val = 'lake_id_value'
-        assert arg == mock_val
-
-
-def test_create_lake_flattened_error():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.create_lake(
-            service.CreateLakeRequest(),
-            parent='parent_value',
-            lake=resources.Lake(name='name_value'),
-            lake_id='lake_id_value',
-        )
-
-@pytest.mark.asyncio
-async def test_create_lake_flattened_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_lake),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.create_lake(
-            parent='parent_value',
-            lake=resources.Lake(name='name_value'),
-            lake_id='lake_id_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-        arg = args[0].lake
-        mock_val = resources.Lake(name='name_value')
-        assert arg == mock_val
-        arg = args[0].lake_id
-        mock_val = 'lake_id_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_create_lake_flattened_error_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.create_lake(
-            service.CreateLakeRequest(),
-            parent='parent_value',
-            lake=resources.Lake(name='name_value'),
-            lake_id='lake_id_value',
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  service.UpdateLakeRequest,
-  dict,
-])
-def test_update_lake(request_type, transport: str = 'grpc'):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_lake),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/spam')
-        response = client.update_lake(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = service.UpdateLakeRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-def test_update_lake_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = service.UpdateLakeRequest(
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_lake),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.update_lake(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == service.UpdateLakeRequest(
-        )
-
-def test_update_lake_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = DataplexServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.update_lake in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.update_lake] = mock_rpc
-        request = {}
-        client.update_lake(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        client.update_lake(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_update_lake_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = DataplexServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.update_lake in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.update_lake] = mock_rpc
-
-        request = {}
-        await client.update_lake(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        await client.update_lake(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_update_lake_async(transport: str = 'grpc_asyncio', request_type=service.UpdateLakeRequest):
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_lake),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        response = await client.update_lake(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = service.UpdateLakeRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-@pytest.mark.asyncio
-async def test_update_lake_async_from_dict():
-    await test_update_lake_async(request_type=dict)
-
-def test_update_lake_field_headers():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.UpdateLakeRequest()
-
-    request.lake.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_lake),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.update_lake(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'lake.name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_update_lake_field_headers_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.UpdateLakeRequest()
-
-    request.lake.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_lake),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
-        await client.update_lake(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'lake.name=name_value',
-    ) in kw['metadata']
-
-
-def test_update_lake_flattened():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_lake),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.update_lake(
-            lake=resources.Lake(name='name_value'),
-            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].lake
-        mock_val = resources.Lake(name='name_value')
-        assert arg == mock_val
-        arg = args[0].update_mask
-        mock_val = field_mask_pb2.FieldMask(paths=['paths_value'])
-        assert arg == mock_val
-
-
-def test_update_lake_flattened_error():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.update_lake(
-            service.UpdateLakeRequest(),
-            lake=resources.Lake(name='name_value'),
-            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
-        )
-
-@pytest.mark.asyncio
-async def test_update_lake_flattened_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_lake),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.update_lake(
-            lake=resources.Lake(name='name_value'),
-            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].lake
-        mock_val = resources.Lake(name='name_value')
-        assert arg == mock_val
-        arg = args[0].update_mask
-        mock_val = field_mask_pb2.FieldMask(paths=['paths_value'])
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_update_lake_flattened_error_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.update_lake(
-            service.UpdateLakeRequest(),
-            lake=resources.Lake(name='name_value'),
-            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  service.DeleteLakeRequest,
-  dict,
-])
-def test_delete_lake(request_type, transport: str = 'grpc'):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_lake),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/spam')
-        response = client.delete_lake(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = service.DeleteLakeRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-def test_delete_lake_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = service.DeleteLakeRequest(
-        name='name_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_lake),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.delete_lake(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == service.DeleteLakeRequest(
-            name='name_value',
-        )
-
-def test_delete_lake_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = DataplexServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.delete_lake in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.delete_lake] = mock_rpc
-        request = {}
-        client.delete_lake(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        client.delete_lake(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_delete_lake_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = DataplexServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.delete_lake in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.delete_lake] = mock_rpc
-
-        request = {}
-        await client.delete_lake(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        await client.delete_lake(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_delete_lake_async(transport: str = 'grpc_asyncio', request_type=service.DeleteLakeRequest):
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_lake),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        response = await client.delete_lake(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = service.DeleteLakeRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-@pytest.mark.asyncio
-async def test_delete_lake_async_from_dict():
-    await test_delete_lake_async(request_type=dict)
-
-def test_delete_lake_field_headers():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.DeleteLakeRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_lake),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.delete_lake(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_delete_lake_field_headers_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.DeleteLakeRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_lake),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
-        await client.delete_lake(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-def test_delete_lake_flattened():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_lake),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.delete_lake(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-
-def test_delete_lake_flattened_error():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.delete_lake(
-            service.DeleteLakeRequest(),
-            name='name_value',
-        )
-
-@pytest.mark.asyncio
-async def test_delete_lake_flattened_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_lake),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.delete_lake(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_delete_lake_flattened_error_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.delete_lake(
-            service.DeleteLakeRequest(),
-            name='name_value',
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  service.ListLakesRequest,
-  dict,
-])
-def test_list_lakes(request_type, transport: str = 'grpc'):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_lakes),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = service.ListLakesResponse(
-            next_page_token='next_page_token_value',
-            unreachable_locations=['unreachable_locations_value'],
-        )
-        response = client.list_lakes(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = service.ListLakesRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListLakesPager)
-    assert response.next_page_token == 'next_page_token_value'
-    assert response.unreachable_locations == ['unreachable_locations_value']
-
-
-def test_list_lakes_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = service.ListLakesRequest(
-        parent='parent_value',
-        page_token='page_token_value',
-        filter='filter_value',
-        order_by='order_by_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_lakes),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.list_lakes(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == service.ListLakesRequest(
-            parent='parent_value',
-            page_token='page_token_value',
-            filter='filter_value',
-            order_by='order_by_value',
-        )
-
-def test_list_lakes_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = DataplexServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.list_lakes in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.list_lakes] = mock_rpc
-        request = {}
-        client.list_lakes(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.list_lakes(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_list_lakes_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = DataplexServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.list_lakes in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.list_lakes] = mock_rpc
-
-        request = {}
-        await client.list_lakes(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.list_lakes(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_list_lakes_async(transport: str = 'grpc_asyncio', request_type=service.ListLakesRequest):
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_lakes),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(service.ListLakesResponse(
-            next_page_token='next_page_token_value',
-            unreachable_locations=['unreachable_locations_value'],
-        ))
-        response = await client.list_lakes(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = service.ListLakesRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListLakesAsyncPager)
-    assert response.next_page_token == 'next_page_token_value'
-    assert response.unreachable_locations == ['unreachable_locations_value']
-
-
-@pytest.mark.asyncio
-async def test_list_lakes_async_from_dict():
-    await test_list_lakes_async(request_type=dict)
-
-def test_list_lakes_field_headers():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.ListLakesRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_lakes),
-            '__call__') as call:
-        call.return_value = service.ListLakesResponse()
-        client.list_lakes(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_list_lakes_field_headers_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.ListLakesRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_lakes),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListLakesResponse())
-        await client.list_lakes(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-def test_list_lakes_flattened():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_lakes),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = service.ListLakesResponse()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.list_lakes(
-            parent='parent_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-
-
-def test_list_lakes_flattened_error():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.list_lakes(
-            service.ListLakesRequest(),
-            parent='parent_value',
-        )
-
-@pytest.mark.asyncio
-async def test_list_lakes_flattened_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_lakes),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = service.ListLakesResponse()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListLakesResponse())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.list_lakes(
-            parent='parent_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_list_lakes_flattened_error_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.list_lakes(
-            service.ListLakesRequest(),
-            parent='parent_value',
-        )
-
-
-def test_list_lakes_pager(transport_name: str = "grpc"):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_lakes),
-            '__call__') as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            service.ListLakesResponse(
-                lakes=[
-                    resources.Lake(),
-                    resources.Lake(),
-                    resources.Lake(),
-                ],
-                next_page_token='abc',
-            ),
-            service.ListLakesResponse(
-                lakes=[],
-                next_page_token='def',
-            ),
-            service.ListLakesResponse(
-                lakes=[
-                    resources.Lake(),
-                ],
-                next_page_token='ghi',
-            ),
-            service.ListLakesResponse(
-                lakes=[
-                    resources.Lake(),
-                    resources.Lake(),
-                ],
-            ),
-            RuntimeError,
-        )
-
-        expected_metadata = ()
-        retry = retries.Retry()
-        timeout = 5
-        expected_metadata = tuple(expected_metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ('parent', ''),
-            )),
-        )
-        pager = client.list_lakes(request={}, retry=retry, timeout=timeout)
-
-        assert pager._metadata == expected_metadata
-        assert pager._retry == retry
-        assert pager._timeout == timeout
-
-        results = list(pager)
-        assert len(results) == 6
-        assert all(isinstance(i, resources.Lake)
-                   for i in results)
-def test_list_lakes_pages(transport_name: str = "grpc"):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_lakes),
-            '__call__') as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            service.ListLakesResponse(
-                lakes=[
-                    resources.Lake(),
-                    resources.Lake(),
-                    resources.Lake(),
-                ],
-                next_page_token='abc',
-            ),
-            service.ListLakesResponse(
-                lakes=[],
-                next_page_token='def',
-            ),
-            service.ListLakesResponse(
-                lakes=[
-                    resources.Lake(),
-                ],
-                next_page_token='ghi',
-            ),
-            service.ListLakesResponse(
-                lakes=[
-                    resources.Lake(),
-                    resources.Lake(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = list(client.list_lakes(request={}).pages)
-        for page_, token in zip(pages, ['abc','def','ghi', '']):
-            assert page_.raw_page.next_page_token == token
-
-@pytest.mark.asyncio
-async def test_list_lakes_async_pager():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_lakes),
-            '__call__', new_callable=mock.AsyncMock) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            service.ListLakesResponse(
-                lakes=[
-                    resources.Lake(),
-                    resources.Lake(),
-                    resources.Lake(),
-                ],
-                next_page_token='abc',
-            ),
-            service.ListLakesResponse(
-                lakes=[],
-                next_page_token='def',
-            ),
-            service.ListLakesResponse(
-                lakes=[
-                    resources.Lake(),
-                ],
-                next_page_token='ghi',
-            ),
-            service.ListLakesResponse(
-                lakes=[
-                    resources.Lake(),
-                    resources.Lake(),
-                ],
-            ),
-            RuntimeError,
-        )
-        async_pager = await client.list_lakes(request={},)
-        assert async_pager.next_page_token == 'abc'
-        responses = []
-        async for response in async_pager: # pragma: no branch
-            responses.append(response)
-
-        assert len(responses) == 6
-        assert all(isinstance(i, resources.Lake)
-                for i in responses)
-
-
-@pytest.mark.asyncio
-async def test_list_lakes_async_pages():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_lakes),
-            '__call__', new_callable=mock.AsyncMock) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            service.ListLakesResponse(
-                lakes=[
-                    resources.Lake(),
-                    resources.Lake(),
-                    resources.Lake(),
-                ],
-                next_page_token='abc',
-            ),
-            service.ListLakesResponse(
-                lakes=[],
-                next_page_token='def',
-            ),
-            service.ListLakesResponse(
-                lakes=[
-                    resources.Lake(),
-                ],
-                next_page_token='ghi',
-            ),
-            service.ListLakesResponse(
-                lakes=[
-                    resources.Lake(),
-                    resources.Lake(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = []
-        # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch`
-        # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372
-        async for page_ in ( # pragma: no branch
-            await client.list_lakes(request={})
-        ).pages:
-            pages.append(page_)
-        for page_, token in zip(pages, ['abc','def','ghi', '']):
-            assert page_.raw_page.next_page_token == token
-
-@pytest.mark.parametrize("request_type", [
-  service.GetLakeRequest,
-  dict,
-])
-def test_get_lake(request_type, transport: str = 'grpc'):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_lake),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = resources.Lake(
-            name='name_value',
-            display_name='display_name_value',
-            uid='uid_value',
-            description='description_value',
-            state=resources.State.ACTIVE,
-            service_account='service_account_value',
-        )
-        response = client.get_lake(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = service.GetLakeRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, resources.Lake)
-    assert response.name == 'name_value'
-    assert response.display_name == 'display_name_value'
-    assert response.uid == 'uid_value'
-    assert response.description == 'description_value'
-    assert response.state == resources.State.ACTIVE
-    assert response.service_account == 'service_account_value'
-
-
-def test_get_lake_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = service.GetLakeRequest(
-        name='name_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_lake),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.get_lake(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == service.GetLakeRequest(
-            name='name_value',
-        )
-
-def test_get_lake_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = DataplexServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.get_lake in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.get_lake] = mock_rpc
-        request = {}
-        client.get_lake(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.get_lake(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_get_lake_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = DataplexServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.get_lake in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.get_lake] = mock_rpc
-
-        request = {}
-        await client.get_lake(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.get_lake(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_get_lake_async(transport: str = 'grpc_asyncio', request_type=service.GetLakeRequest):
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_lake),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(resources.Lake(
-            name='name_value',
-            display_name='display_name_value',
-            uid='uid_value',
-            description='description_value',
-            state=resources.State.ACTIVE,
-            service_account='service_account_value',
-        ))
-        response = await client.get_lake(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = service.GetLakeRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, resources.Lake)
-    assert response.name == 'name_value'
-    assert response.display_name == 'display_name_value'
-    assert response.uid == 'uid_value'
-    assert response.description == 'description_value'
-    assert response.state == resources.State.ACTIVE
-    assert response.service_account == 'service_account_value'
-
-
-@pytest.mark.asyncio
-async def test_get_lake_async_from_dict():
-    await test_get_lake_async(request_type=dict)
-
-def test_get_lake_field_headers():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.GetLakeRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_lake),
-            '__call__') as call:
-        call.return_value = resources.Lake()
-        client.get_lake(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_get_lake_field_headers_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.GetLakeRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_lake),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(resources.Lake())
-        await client.get_lake(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-def test_get_lake_flattened():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_lake),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = resources.Lake()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.get_lake(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-
-def test_get_lake_flattened_error():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.get_lake(
-            service.GetLakeRequest(),
-            name='name_value',
-        )
-
-@pytest.mark.asyncio
-async def test_get_lake_flattened_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_lake),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = resources.Lake()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(resources.Lake())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.get_lake(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_get_lake_flattened_error_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.get_lake(
-            service.GetLakeRequest(),
-            name='name_value',
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  service.ListLakeActionsRequest,
-  dict,
-])
-def test_list_lake_actions(request_type, transport: str = 'grpc'):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_lake_actions),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = service.ListActionsResponse(
-            next_page_token='next_page_token_value',
-        )
-        response = client.list_lake_actions(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = service.ListLakeActionsRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListLakeActionsPager)
-    assert response.next_page_token == 'next_page_token_value'
-
-
-def test_list_lake_actions_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = service.ListLakeActionsRequest(
-        parent='parent_value',
-        page_token='page_token_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_lake_actions),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.list_lake_actions(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == service.ListLakeActionsRequest(
-            parent='parent_value',
-            page_token='page_token_value',
-        )
-
-def test_list_lake_actions_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = DataplexServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.list_lake_actions in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.list_lake_actions] = mock_rpc
-        request = {}
-        client.list_lake_actions(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.list_lake_actions(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_list_lake_actions_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = DataplexServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.list_lake_actions in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.list_lake_actions] = mock_rpc
-
-        request = {}
-        await client.list_lake_actions(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.list_lake_actions(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_list_lake_actions_async(transport: str = 'grpc_asyncio', request_type=service.ListLakeActionsRequest):
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_lake_actions),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(service.ListActionsResponse(
-            next_page_token='next_page_token_value',
-        ))
-        response = await client.list_lake_actions(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = service.ListLakeActionsRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListLakeActionsAsyncPager)
-    assert response.next_page_token == 'next_page_token_value'
-
-
-@pytest.mark.asyncio
-async def test_list_lake_actions_async_from_dict():
-    await test_list_lake_actions_async(request_type=dict)
-
-def test_list_lake_actions_field_headers():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.ListLakeActionsRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_lake_actions),
-            '__call__') as call:
-        call.return_value = service.ListActionsResponse()
-        client.list_lake_actions(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_list_lake_actions_field_headers_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.ListLakeActionsRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_lake_actions),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListActionsResponse())
-        await client.list_lake_actions(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-def test_list_lake_actions_flattened():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_lake_actions),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = service.ListActionsResponse()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.list_lake_actions(
-            parent='parent_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-
-
-def test_list_lake_actions_flattened_error():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.list_lake_actions(
-            service.ListLakeActionsRequest(),
-            parent='parent_value',
-        )
-
-@pytest.mark.asyncio
-async def test_list_lake_actions_flattened_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_lake_actions),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = service.ListActionsResponse()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListActionsResponse())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.list_lake_actions(
-            parent='parent_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_list_lake_actions_flattened_error_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.list_lake_actions(
-            service.ListLakeActionsRequest(),
-            parent='parent_value',
-        )
-
-
-def test_list_lake_actions_pager(transport_name: str = "grpc"):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_lake_actions),
-            '__call__') as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            service.ListActionsResponse(
-                actions=[
-                    resources.Action(),
-                    resources.Action(),
-                    resources.Action(),
-                ],
-                next_page_token='abc',
-            ),
-            service.ListActionsResponse(
-                actions=[],
-                next_page_token='def',
-            ),
-            service.ListActionsResponse(
-                actions=[
-                    resources.Action(),
-                ],
-                next_page_token='ghi',
-            ),
-            service.ListActionsResponse(
-                actions=[
-                    resources.Action(),
-                    resources.Action(),
-                ],
-            ),
-            RuntimeError,
-        )
-
-        expected_metadata = ()
-        retry = retries.Retry()
-        timeout = 5
-        expected_metadata = tuple(expected_metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ('parent', ''),
-            )),
-        )
-        pager = client.list_lake_actions(request={}, retry=retry, timeout=timeout)
-
-        assert pager._metadata == expected_metadata
-        assert pager._retry == retry
-        assert pager._timeout == timeout
-
-        results = list(pager)
-        assert len(results) == 6
-        assert all(isinstance(i, resources.Action)
-                   for i in results)
-def test_list_lake_actions_pages(transport_name: str = "grpc"):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_lake_actions),
-            '__call__') as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            service.ListActionsResponse(
-                actions=[
-                    resources.Action(),
-                    resources.Action(),
-                    resources.Action(),
-                ],
-                next_page_token='abc',
-            ),
-            service.ListActionsResponse(
-                actions=[],
-                next_page_token='def',
-            ),
-            service.ListActionsResponse(
-                actions=[
-                    resources.Action(),
-                ],
-                next_page_token='ghi',
-            ),
-            service.ListActionsResponse(
-                actions=[
-                    resources.Action(),
-                    resources.Action(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = list(client.list_lake_actions(request={}).pages)
-        for page_, token in zip(pages, ['abc','def','ghi', '']):
-            assert page_.raw_page.next_page_token == token
-
-@pytest.mark.asyncio
-async def test_list_lake_actions_async_pager():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_lake_actions),
-            '__call__', new_callable=mock.AsyncMock) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            service.ListActionsResponse(
-                actions=[
-                    resources.Action(),
-                    resources.Action(),
-                    resources.Action(),
-                ],
-                next_page_token='abc',
-            ),
-            service.ListActionsResponse(
-                actions=[],
-                next_page_token='def',
-            ),
-            service.ListActionsResponse(
-                actions=[
-                    resources.Action(),
-                ],
-                next_page_token='ghi',
-            ),
-            service.ListActionsResponse(
-                actions=[
-                    resources.Action(),
-                    resources.Action(),
-                ],
-            ),
-            RuntimeError,
-        )
-        async_pager = await client.list_lake_actions(request={},)
-        assert async_pager.next_page_token == 'abc'
-        responses = []
-        async for response in async_pager: # pragma: no branch
-            responses.append(response)
-
-        assert len(responses) == 6
-        assert all(isinstance(i, resources.Action)
-                for i in responses)
-
-
-@pytest.mark.asyncio
-async def test_list_lake_actions_async_pages():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_lake_actions),
-            '__call__', new_callable=mock.AsyncMock) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            service.ListActionsResponse(
-                actions=[
-                    resources.Action(),
-                    resources.Action(),
-                    resources.Action(),
-                ],
-                next_page_token='abc',
-            ),
-            service.ListActionsResponse(
-                actions=[],
-                next_page_token='def',
-            ),
-            service.ListActionsResponse(
-                actions=[
-                    resources.Action(),
-                ],
-                next_page_token='ghi',
-            ),
-            service.ListActionsResponse(
-                actions=[
-                    resources.Action(),
-                    resources.Action(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = []
-        # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch`
-        # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372
-        async for page_ in ( # pragma: no branch
-            await client.list_lake_actions(request={})
-        ).pages:
-            pages.append(page_)
-        for page_, token in zip(pages, ['abc','def','ghi', '']):
-            assert page_.raw_page.next_page_token == token
-
-@pytest.mark.parametrize("request_type", [
-  service.CreateZoneRequest,
-  dict,
-])
-def test_create_zone(request_type, transport: str = 'grpc'):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_zone),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/spam')
-        response = client.create_zone(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = service.CreateZoneRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-def test_create_zone_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = service.CreateZoneRequest(
-        parent='parent_value',
-        zone_id='zone_id_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_zone),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.create_zone(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == service.CreateZoneRequest(
-            parent='parent_value',
-            zone_id='zone_id_value',
-        )
-
-def test_create_zone_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = DataplexServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.create_zone in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.create_zone] = mock_rpc
-        request = {}
-        client.create_zone(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        client.create_zone(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_create_zone_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = DataplexServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.create_zone in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.create_zone] = mock_rpc
-
-        request = {}
-        await client.create_zone(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        await client.create_zone(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_create_zone_async(transport: str = 'grpc_asyncio', request_type=service.CreateZoneRequest):
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_zone),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        response = await client.create_zone(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = service.CreateZoneRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-@pytest.mark.asyncio
-async def test_create_zone_async_from_dict():
-    await test_create_zone_async(request_type=dict)
-
-def test_create_zone_field_headers():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.CreateZoneRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_zone),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.create_zone(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_create_zone_field_headers_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.CreateZoneRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_zone),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
-        await client.create_zone(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-def test_create_zone_flattened():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_zone),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.create_zone(
-            parent='parent_value',
-            zone=resources.Zone(name='name_value'),
-            zone_id='zone_id_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-        arg = args[0].zone
-        mock_val = resources.Zone(name='name_value')
-        assert arg == mock_val
-        arg = args[0].zone_id
-        mock_val = 'zone_id_value'
-        assert arg == mock_val
-
-
-def test_create_zone_flattened_error():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.create_zone(
-            service.CreateZoneRequest(),
-            parent='parent_value',
-            zone=resources.Zone(name='name_value'),
-            zone_id='zone_id_value',
-        )
-
-@pytest.mark.asyncio
-async def test_create_zone_flattened_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_zone),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.create_zone(
-            parent='parent_value',
-            zone=resources.Zone(name='name_value'),
-            zone_id='zone_id_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-        arg = args[0].zone
-        mock_val = resources.Zone(name='name_value')
-        assert arg == mock_val
-        arg = args[0].zone_id
-        mock_val = 'zone_id_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_create_zone_flattened_error_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.create_zone(
-            service.CreateZoneRequest(),
-            parent='parent_value',
-            zone=resources.Zone(name='name_value'),
-            zone_id='zone_id_value',
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  service.UpdateZoneRequest,
-  dict,
-])
-def test_update_zone(request_type, transport: str = 'grpc'):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_zone),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/spam')
-        response = client.update_zone(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = service.UpdateZoneRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-def test_update_zone_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = service.UpdateZoneRequest(
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_zone),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.update_zone(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == service.UpdateZoneRequest(
-        )
-
-def test_update_zone_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = DataplexServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.update_zone in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.update_zone] = mock_rpc
-        request = {}
-        client.update_zone(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        client.update_zone(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_update_zone_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = DataplexServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.update_zone in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.update_zone] = mock_rpc
-
-        request = {}
-        await client.update_zone(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        await client.update_zone(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_update_zone_async(transport: str = 'grpc_asyncio', request_type=service.UpdateZoneRequest):
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_zone),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        response = await client.update_zone(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = service.UpdateZoneRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-@pytest.mark.asyncio
-async def test_update_zone_async_from_dict():
-    await test_update_zone_async(request_type=dict)
-
-def test_update_zone_field_headers():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.UpdateZoneRequest()
-
-    request.zone.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_zone),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.update_zone(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'zone.name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_update_zone_field_headers_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.UpdateZoneRequest()
-
-    request.zone.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_zone),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
-        await client.update_zone(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'zone.name=name_value',
-    ) in kw['metadata']
-
-
-def test_update_zone_flattened():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_zone),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.update_zone(
-            zone=resources.Zone(name='name_value'),
-            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].zone
-        mock_val = resources.Zone(name='name_value')
-        assert arg == mock_val
-        arg = args[0].update_mask
-        mock_val = field_mask_pb2.FieldMask(paths=['paths_value'])
-        assert arg == mock_val
-
-
-def test_update_zone_flattened_error():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.update_zone(
-            service.UpdateZoneRequest(),
-            zone=resources.Zone(name='name_value'),
-            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
-        )
-
-@pytest.mark.asyncio
-async def test_update_zone_flattened_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_zone),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.update_zone(
-            zone=resources.Zone(name='name_value'),
-            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].zone
-        mock_val = resources.Zone(name='name_value')
-        assert arg == mock_val
-        arg = args[0].update_mask
-        mock_val = field_mask_pb2.FieldMask(paths=['paths_value'])
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_update_zone_flattened_error_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.update_zone(
-            service.UpdateZoneRequest(),
-            zone=resources.Zone(name='name_value'),
-            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  service.DeleteZoneRequest,
-  dict,
-])
-def test_delete_zone(request_type, transport: str = 'grpc'):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_zone),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/spam')
-        response = client.delete_zone(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = service.DeleteZoneRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-def test_delete_zone_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = service.DeleteZoneRequest(
-        name='name_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_zone),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.delete_zone(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == service.DeleteZoneRequest(
-            name='name_value',
-        )
-
-def test_delete_zone_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = DataplexServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.delete_zone in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.delete_zone] = mock_rpc
-        request = {}
-        client.delete_zone(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        client.delete_zone(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_delete_zone_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = DataplexServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.delete_zone in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.delete_zone] = mock_rpc
-
-        request = {}
-        await client.delete_zone(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        await client.delete_zone(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_delete_zone_async(transport: str = 'grpc_asyncio', request_type=service.DeleteZoneRequest):
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_zone),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        response = await client.delete_zone(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = service.DeleteZoneRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-@pytest.mark.asyncio
-async def test_delete_zone_async_from_dict():
-    await test_delete_zone_async(request_type=dict)
-
-def test_delete_zone_field_headers():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.DeleteZoneRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_zone),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.delete_zone(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_delete_zone_field_headers_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.DeleteZoneRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_zone),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
-        await client.delete_zone(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-def test_delete_zone_flattened():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_zone),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.delete_zone(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-
-def test_delete_zone_flattened_error():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.delete_zone(
-            service.DeleteZoneRequest(),
-            name='name_value',
-        )
-
-@pytest.mark.asyncio
-async def test_delete_zone_flattened_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_zone),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.delete_zone(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_delete_zone_flattened_error_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.delete_zone(
-            service.DeleteZoneRequest(),
-            name='name_value',
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  service.ListZonesRequest,
-  dict,
-])
-def test_list_zones(request_type, transport: str = 'grpc'):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_zones),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = service.ListZonesResponse(
-            next_page_token='next_page_token_value',
-        )
-        response = client.list_zones(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = service.ListZonesRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListZonesPager)
-    assert response.next_page_token == 'next_page_token_value'
-
-
-def test_list_zones_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = service.ListZonesRequest(
-        parent='parent_value',
-        page_token='page_token_value',
-        filter='filter_value',
-        order_by='order_by_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_zones),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.list_zones(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == service.ListZonesRequest(
-            parent='parent_value',
-            page_token='page_token_value',
-            filter='filter_value',
-            order_by='order_by_value',
-        )
-
-def test_list_zones_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = DataplexServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.list_zones in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.list_zones] = mock_rpc
-        request = {}
-        client.list_zones(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.list_zones(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_list_zones_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = DataplexServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.list_zones in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.list_zones] = mock_rpc
-
-        request = {}
-        await client.list_zones(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.list_zones(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_list_zones_async(transport: str = 'grpc_asyncio', request_type=service.ListZonesRequest):
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_zones),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(service.ListZonesResponse(
-            next_page_token='next_page_token_value',
-        ))
-        response = await client.list_zones(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = service.ListZonesRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListZonesAsyncPager)
-    assert response.next_page_token == 'next_page_token_value'
-
-
-@pytest.mark.asyncio
-async def test_list_zones_async_from_dict():
-    await test_list_zones_async(request_type=dict)
-
-def test_list_zones_field_headers():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.ListZonesRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_zones),
-            '__call__') as call:
-        call.return_value = service.ListZonesResponse()
-        client.list_zones(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_list_zones_field_headers_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.ListZonesRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_zones),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListZonesResponse())
-        await client.list_zones(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-def test_list_zones_flattened():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_zones),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = service.ListZonesResponse()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.list_zones(
-            parent='parent_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-
-
-def test_list_zones_flattened_error():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.list_zones(
-            service.ListZonesRequest(),
-            parent='parent_value',
-        )
-
-@pytest.mark.asyncio
-async def test_list_zones_flattened_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_zones),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = service.ListZonesResponse()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListZonesResponse())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.list_zones(
-            parent='parent_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_list_zones_flattened_error_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.list_zones(
-            service.ListZonesRequest(),
-            parent='parent_value',
-        )
-
-
-def test_list_zones_pager(transport_name: str = "grpc"):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_zones),
-            '__call__') as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            service.ListZonesResponse(
-                zones=[
-                    resources.Zone(),
-                    resources.Zone(),
-                    resources.Zone(),
-                ],
-                next_page_token='abc',
-            ),
-            service.ListZonesResponse(
-                zones=[],
-                next_page_token='def',
-            ),
-            service.ListZonesResponse(
-                zones=[
-                    resources.Zone(),
-                ],
-                next_page_token='ghi',
-            ),
-            service.ListZonesResponse(
-                zones=[
-                    resources.Zone(),
-                    resources.Zone(),
-                ],
-            ),
-            RuntimeError,
-        )
-
-        expected_metadata = ()
-        retry = retries.Retry()
-        timeout = 5
-        expected_metadata = tuple(expected_metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ('parent', ''),
-            )),
-        )
-        pager = client.list_zones(request={}, retry=retry, timeout=timeout)
-
-        assert pager._metadata == expected_metadata
-        assert pager._retry == retry
-        assert pager._timeout == timeout
-
-        results = list(pager)
-        assert len(results) == 6
-        assert all(isinstance(i, resources.Zone)
-                   for i in results)
-def test_list_zones_pages(transport_name: str = "grpc"):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_zones),
-            '__call__') as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            service.ListZonesResponse(
-                zones=[
-                    resources.Zone(),
-                    resources.Zone(),
-                    resources.Zone(),
-                ],
-                next_page_token='abc',
-            ),
-            service.ListZonesResponse(
-                zones=[],
-                next_page_token='def',
-            ),
-            service.ListZonesResponse(
-                zones=[
-                    resources.Zone(),
-                ],
-                next_page_token='ghi',
-            ),
-            service.ListZonesResponse(
-                zones=[
-                    resources.Zone(),
-                    resources.Zone(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = list(client.list_zones(request={}).pages)
-        for page_, token in zip(pages, ['abc','def','ghi', '']):
-            assert page_.raw_page.next_page_token == token
-
-@pytest.mark.asyncio
-async def test_list_zones_async_pager():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_zones),
-            '__call__', new_callable=mock.AsyncMock) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            service.ListZonesResponse(
-                zones=[
-                    resources.Zone(),
-                    resources.Zone(),
-                    resources.Zone(),
-                ],
-                next_page_token='abc',
-            ),
-            service.ListZonesResponse(
-                zones=[],
-                next_page_token='def',
-            ),
-            service.ListZonesResponse(
-                zones=[
-                    resources.Zone(),
-                ],
-                next_page_token='ghi',
-            ),
-            service.ListZonesResponse(
-                zones=[
-                    resources.Zone(),
-                    resources.Zone(),
-                ],
-            ),
-            RuntimeError,
-        )
-        async_pager = await client.list_zones(request={},)
-        assert async_pager.next_page_token == 'abc'
-        responses = []
-        async for response in async_pager: # pragma: no branch
-            responses.append(response)
-
-        assert len(responses) == 6
-        assert all(isinstance(i, resources.Zone)
-                for i in responses)
-
-
-@pytest.mark.asyncio
-async def test_list_zones_async_pages():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_zones),
-            '__call__', new_callable=mock.AsyncMock) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            service.ListZonesResponse(
-                zones=[
-                    resources.Zone(),
-                    resources.Zone(),
-                    resources.Zone(),
-                ],
-                next_page_token='abc',
-            ),
-            service.ListZonesResponse(
-                zones=[],
-                next_page_token='def',
-            ),
-            service.ListZonesResponse(
-                zones=[
-                    resources.Zone(),
-                ],
-                next_page_token='ghi',
-            ),
-            service.ListZonesResponse(
-                zones=[
-                    resources.Zone(),
-                    resources.Zone(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = []
-        # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch`
-        # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372
-        async for page_ in ( # pragma: no branch
-            await client.list_zones(request={})
-        ).pages:
-            pages.append(page_)
-        for page_, token in zip(pages, ['abc','def','ghi', '']):
-            assert page_.raw_page.next_page_token == token
-
-@pytest.mark.parametrize("request_type", [
-  service.GetZoneRequest,
-  dict,
-])
-def test_get_zone(request_type, transport: str = 'grpc'):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_zone),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = resources.Zone(
-            name='name_value',
-            display_name='display_name_value',
-            uid='uid_value',
-            description='description_value',
-            state=resources.State.ACTIVE,
-            type_=resources.Zone.Type.RAW,
-        )
-        response = client.get_zone(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = service.GetZoneRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, resources.Zone)
-    assert response.name == 'name_value'
-    assert response.display_name == 'display_name_value'
-    assert response.uid == 'uid_value'
-    assert response.description == 'description_value'
-    assert response.state == resources.State.ACTIVE
-    assert response.type_ == resources.Zone.Type.RAW
-
-
-def test_get_zone_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = service.GetZoneRequest(
-        name='name_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_zone),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.get_zone(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == service.GetZoneRequest(
-            name='name_value',
-        )
-
-def test_get_zone_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = DataplexServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.get_zone in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.get_zone] = mock_rpc
-        request = {}
-        client.get_zone(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.get_zone(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_get_zone_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = DataplexServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.get_zone in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.get_zone] = mock_rpc
-
-        request = {}
-        await client.get_zone(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.get_zone(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_get_zone_async(transport: str = 'grpc_asyncio', request_type=service.GetZoneRequest):
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_zone),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(resources.Zone(
-            name='name_value',
-            display_name='display_name_value',
-            uid='uid_value',
-            description='description_value',
-            state=resources.State.ACTIVE,
-            type_=resources.Zone.Type.RAW,
-        ))
-        response = await client.get_zone(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = service.GetZoneRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, resources.Zone)
-    assert response.name == 'name_value'
-    assert response.display_name == 'display_name_value'
-    assert response.uid == 'uid_value'
-    assert response.description == 'description_value'
-    assert response.state == resources.State.ACTIVE
-    assert response.type_ == resources.Zone.Type.RAW
-
-
-@pytest.mark.asyncio
-async def test_get_zone_async_from_dict():
-    await test_get_zone_async(request_type=dict)
-
-def test_get_zone_field_headers():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.GetZoneRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_zone),
-            '__call__') as call:
-        call.return_value = resources.Zone()
-        client.get_zone(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_get_zone_field_headers_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.GetZoneRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_zone),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(resources.Zone())
-        await client.get_zone(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-def test_get_zone_flattened():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_zone),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = resources.Zone()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.get_zone(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-
-def test_get_zone_flattened_error():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.get_zone(
-            service.GetZoneRequest(),
-            name='name_value',
-        )
-
-@pytest.mark.asyncio
-async def test_get_zone_flattened_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_zone),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = resources.Zone()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(resources.Zone())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.get_zone(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_get_zone_flattened_error_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.get_zone(
-            service.GetZoneRequest(),
-            name='name_value',
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  service.ListZoneActionsRequest,
-  dict,
-])
-def test_list_zone_actions(request_type, transport: str = 'grpc'):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_zone_actions),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = service.ListActionsResponse(
-            next_page_token='next_page_token_value',
-        )
-        response = client.list_zone_actions(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = service.ListZoneActionsRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListZoneActionsPager)
-    assert response.next_page_token == 'next_page_token_value'
-
-
-def test_list_zone_actions_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = service.ListZoneActionsRequest(
-        parent='parent_value',
-        page_token='page_token_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_zone_actions),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.list_zone_actions(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == service.ListZoneActionsRequest(
-            parent='parent_value',
-            page_token='page_token_value',
-        )
-
-def test_list_zone_actions_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = DataplexServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.list_zone_actions in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.list_zone_actions] = mock_rpc
-        request = {}
-        client.list_zone_actions(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.list_zone_actions(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_list_zone_actions_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = DataplexServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.list_zone_actions in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.list_zone_actions] = mock_rpc
-
-        request = {}
-        await client.list_zone_actions(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.list_zone_actions(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_list_zone_actions_async(transport: str = 'grpc_asyncio', request_type=service.ListZoneActionsRequest):
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_zone_actions),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(service.ListActionsResponse(
-            next_page_token='next_page_token_value',
-        ))
-        response = await client.list_zone_actions(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = service.ListZoneActionsRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListZoneActionsAsyncPager)
-    assert response.next_page_token == 'next_page_token_value'
-
-
-@pytest.mark.asyncio
-async def test_list_zone_actions_async_from_dict():
-    await test_list_zone_actions_async(request_type=dict)
-
-def test_list_zone_actions_field_headers():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.ListZoneActionsRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_zone_actions),
-            '__call__') as call:
-        call.return_value = service.ListActionsResponse()
-        client.list_zone_actions(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_list_zone_actions_field_headers_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.ListZoneActionsRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_zone_actions),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListActionsResponse())
-        await client.list_zone_actions(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-def test_list_zone_actions_flattened():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_zone_actions),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = service.ListActionsResponse()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.list_zone_actions(
-            parent='parent_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-
-
-def test_list_zone_actions_flattened_error():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.list_zone_actions(
-            service.ListZoneActionsRequest(),
-            parent='parent_value',
-        )
-
-@pytest.mark.asyncio
-async def test_list_zone_actions_flattened_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_zone_actions),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = service.ListActionsResponse()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListActionsResponse())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.list_zone_actions(
-            parent='parent_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_list_zone_actions_flattened_error_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.list_zone_actions(
-            service.ListZoneActionsRequest(),
-            parent='parent_value',
-        )
-
-
-def test_list_zone_actions_pager(transport_name: str = "grpc"):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_zone_actions),
-            '__call__') as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            service.ListActionsResponse(
-                actions=[
-                    resources.Action(),
-                    resources.Action(),
-                    resources.Action(),
-                ],
-                next_page_token='abc',
-            ),
-            service.ListActionsResponse(
-                actions=[],
-                next_page_token='def',
-            ),
-            service.ListActionsResponse(
-                actions=[
-                    resources.Action(),
-                ],
-                next_page_token='ghi',
-            ),
-            service.ListActionsResponse(
-                actions=[
-                    resources.Action(),
-                    resources.Action(),
-                ],
-            ),
-            RuntimeError,
-        )
-
-        expected_metadata = ()
-        retry = retries.Retry()
-        timeout = 5
-        expected_metadata = tuple(expected_metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ('parent', ''),
-            )),
-        )
-        pager = client.list_zone_actions(request={}, retry=retry, timeout=timeout)
-
-        assert pager._metadata == expected_metadata
-        assert pager._retry == retry
-        assert pager._timeout == timeout
-
-        results = list(pager)
-        assert len(results) == 6
-        assert all(isinstance(i, resources.Action)
-                   for i in results)
-def test_list_zone_actions_pages(transport_name: str = "grpc"):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_zone_actions),
-            '__call__') as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            service.ListActionsResponse(
-                actions=[
-                    resources.Action(),
-                    resources.Action(),
-                    resources.Action(),
-                ],
-                next_page_token='abc',
-            ),
-            service.ListActionsResponse(
-                actions=[],
-                next_page_token='def',
-            ),
-            service.ListActionsResponse(
-                actions=[
-                    resources.Action(),
-                ],
-                next_page_token='ghi',
-            ),
-            service.ListActionsResponse(
-                actions=[
-                    resources.Action(),
-                    resources.Action(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = list(client.list_zone_actions(request={}).pages)
-        for page_, token in zip(pages, ['abc','def','ghi', '']):
-            assert page_.raw_page.next_page_token == token
-
-@pytest.mark.asyncio
-async def test_list_zone_actions_async_pager():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_zone_actions),
-            '__call__', new_callable=mock.AsyncMock) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            service.ListActionsResponse(
-                actions=[
-                    resources.Action(),
-                    resources.Action(),
-                    resources.Action(),
-                ],
-                next_page_token='abc',
-            ),
-            service.ListActionsResponse(
-                actions=[],
-                next_page_token='def',
-            ),
-            service.ListActionsResponse(
-                actions=[
-                    resources.Action(),
-                ],
-                next_page_token='ghi',
-            ),
-            service.ListActionsResponse(
-                actions=[
-                    resources.Action(),
-                    resources.Action(),
-                ],
-            ),
-            RuntimeError,
-        )
-        async_pager = await client.list_zone_actions(request={},)
-        assert async_pager.next_page_token == 'abc'
-        responses = []
-        async for response in async_pager: # pragma: no branch
-            responses.append(response)
-
-        assert len(responses) == 6
-        assert all(isinstance(i, resources.Action)
-                for i in responses)
-
-
-@pytest.mark.asyncio
-async def test_list_zone_actions_async_pages():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_zone_actions),
-            '__call__', new_callable=mock.AsyncMock) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            service.ListActionsResponse(
-                actions=[
-                    resources.Action(),
-                    resources.Action(),
-                    resources.Action(),
-                ],
-                next_page_token='abc',
-            ),
-            service.ListActionsResponse(
-                actions=[],
-                next_page_token='def',
-            ),
-            service.ListActionsResponse(
-                actions=[
-                    resources.Action(),
-                ],
-                next_page_token='ghi',
-            ),
-            service.ListActionsResponse(
-                actions=[
-                    resources.Action(),
-                    resources.Action(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = []
-        # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch`
-        # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372
-        async for page_ in ( # pragma: no branch
-            await client.list_zone_actions(request={})
-        ).pages:
-            pages.append(page_)
-        for page_, token in zip(pages, ['abc','def','ghi', '']):
-            assert page_.raw_page.next_page_token == token
-
-@pytest.mark.parametrize("request_type", [
-  service.CreateAssetRequest,
-  dict,
-])
-def test_create_asset(request_type, transport: str = 'grpc'):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_asset),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/spam')
-        response = client.create_asset(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = service.CreateAssetRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-def test_create_asset_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = service.CreateAssetRequest(
-        parent='parent_value',
-        asset_id='asset_id_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_asset),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.create_asset(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == service.CreateAssetRequest(
-            parent='parent_value',
-            asset_id='asset_id_value',
-        )
-
-def test_create_asset_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = DataplexServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.create_asset in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.create_asset] = mock_rpc
-        request = {}
-        client.create_asset(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        client.create_asset(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_create_asset_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = DataplexServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.create_asset in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.create_asset] = mock_rpc
-
-        request = {}
-        await client.create_asset(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        await client.create_asset(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_create_asset_async(transport: str = 'grpc_asyncio', request_type=service.CreateAssetRequest):
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_asset),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        response = await client.create_asset(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = service.CreateAssetRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-@pytest.mark.asyncio
-async def test_create_asset_async_from_dict():
-    await test_create_asset_async(request_type=dict)
-
-def test_create_asset_field_headers():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.CreateAssetRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_asset),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.create_asset(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_create_asset_field_headers_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.CreateAssetRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_asset),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
-        await client.create_asset(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-def test_create_asset_flattened():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_asset),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.create_asset(
-            parent='parent_value',
-            asset=resources.Asset(name='name_value'),
-            asset_id='asset_id_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-        arg = args[0].asset
-        mock_val = resources.Asset(name='name_value')
-        assert arg == mock_val
-        arg = args[0].asset_id
-        mock_val = 'asset_id_value'
-        assert arg == mock_val
-
-
-def test_create_asset_flattened_error():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.create_asset(
-            service.CreateAssetRequest(),
-            parent='parent_value',
-            asset=resources.Asset(name='name_value'),
-            asset_id='asset_id_value',
-        )
-
-@pytest.mark.asyncio
-async def test_create_asset_flattened_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_asset),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.create_asset(
-            parent='parent_value',
-            asset=resources.Asset(name='name_value'),
-            asset_id='asset_id_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-        arg = args[0].asset
-        mock_val = resources.Asset(name='name_value')
-        assert arg == mock_val
-        arg = args[0].asset_id
-        mock_val = 'asset_id_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_create_asset_flattened_error_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.create_asset(
-            service.CreateAssetRequest(),
-            parent='parent_value',
-            asset=resources.Asset(name='name_value'),
-            asset_id='asset_id_value',
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  service.UpdateAssetRequest,
-  dict,
-])
-def test_update_asset(request_type, transport: str = 'grpc'):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_asset),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/spam')
-        response = client.update_asset(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = service.UpdateAssetRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-def test_update_asset_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = service.UpdateAssetRequest(
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_asset),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.update_asset(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == service.UpdateAssetRequest(
-        )
-
-def test_update_asset_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = DataplexServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.update_asset in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.update_asset] = mock_rpc
-        request = {}
-        client.update_asset(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        client.update_asset(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_update_asset_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = DataplexServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.update_asset in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.update_asset] = mock_rpc
-
-        request = {}
-        await client.update_asset(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        await client.update_asset(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_update_asset_async(transport: str = 'grpc_asyncio', request_type=service.UpdateAssetRequest):
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_asset),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        response = await client.update_asset(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = service.UpdateAssetRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-@pytest.mark.asyncio
-async def test_update_asset_async_from_dict():
-    await test_update_asset_async(request_type=dict)
-
-def test_update_asset_field_headers():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.UpdateAssetRequest()
-
-    request.asset.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_asset),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.update_asset(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'asset.name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_update_asset_field_headers_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.UpdateAssetRequest()
-
-    request.asset.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_asset),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
-        await client.update_asset(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'asset.name=name_value',
-    ) in kw['metadata']
-
-
-def test_update_asset_flattened():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_asset),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.update_asset(
-            asset=resources.Asset(name='name_value'),
-            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].asset
-        mock_val = resources.Asset(name='name_value')
-        assert arg == mock_val
-        arg = args[0].update_mask
-        mock_val = field_mask_pb2.FieldMask(paths=['paths_value'])
-        assert arg == mock_val
-
-
-def test_update_asset_flattened_error():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.update_asset(
-            service.UpdateAssetRequest(),
-            asset=resources.Asset(name='name_value'),
-            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
-        )
-
-@pytest.mark.asyncio
-async def test_update_asset_flattened_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_asset),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.update_asset(
-            asset=resources.Asset(name='name_value'),
-            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].asset
-        mock_val = resources.Asset(name='name_value')
-        assert arg == mock_val
-        arg = args[0].update_mask
-        mock_val = field_mask_pb2.FieldMask(paths=['paths_value'])
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_update_asset_flattened_error_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.update_asset(
-            service.UpdateAssetRequest(),
-            asset=resources.Asset(name='name_value'),
-            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  service.DeleteAssetRequest,
-  dict,
-])
-def test_delete_asset(request_type, transport: str = 'grpc'):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_asset),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/spam')
-        response = client.delete_asset(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = service.DeleteAssetRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-def test_delete_asset_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = service.DeleteAssetRequest(
-        name='name_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_asset),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.delete_asset(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == service.DeleteAssetRequest(
-            name='name_value',
-        )
-
-def test_delete_asset_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = DataplexServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.delete_asset in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.delete_asset] = mock_rpc
-        request = {}
-        client.delete_asset(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        client.delete_asset(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_delete_asset_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = DataplexServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.delete_asset in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.delete_asset] = mock_rpc
-
-        request = {}
-        await client.delete_asset(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        await client.delete_asset(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_delete_asset_async(transport: str = 'grpc_asyncio', request_type=service.DeleteAssetRequest):
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_asset),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        response = await client.delete_asset(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = service.DeleteAssetRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-@pytest.mark.asyncio
-async def test_delete_asset_async_from_dict():
-    await test_delete_asset_async(request_type=dict)
-
-def test_delete_asset_field_headers():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.DeleteAssetRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_asset),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.delete_asset(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_delete_asset_field_headers_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.DeleteAssetRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_asset),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
-        await client.delete_asset(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-def test_delete_asset_flattened():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_asset),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.delete_asset(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-
-def test_delete_asset_flattened_error():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.delete_asset(
-            service.DeleteAssetRequest(),
-            name='name_value',
-        )
-
-@pytest.mark.asyncio
-async def test_delete_asset_flattened_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_asset),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.delete_asset(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_delete_asset_flattened_error_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.delete_asset(
-            service.DeleteAssetRequest(),
-            name='name_value',
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  service.ListAssetsRequest,
-  dict,
-])
-def test_list_assets(request_type, transport: str = 'grpc'):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_assets),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = service.ListAssetsResponse(
-            next_page_token='next_page_token_value',
-        )
-        response = client.list_assets(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = service.ListAssetsRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListAssetsPager)
-    assert response.next_page_token == 'next_page_token_value'
-
-
-def test_list_assets_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = service.ListAssetsRequest(
-        parent='parent_value',
-        page_token='page_token_value',
-        filter='filter_value',
-        order_by='order_by_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_assets),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.list_assets(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == service.ListAssetsRequest(
-            parent='parent_value',
-            page_token='page_token_value',
-            filter='filter_value',
-            order_by='order_by_value',
-        )
-
-def test_list_assets_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = DataplexServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.list_assets in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.list_assets] = mock_rpc
-        request = {}
-        client.list_assets(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.list_assets(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_list_assets_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = DataplexServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.list_assets in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.list_assets] = mock_rpc
-
-        request = {}
-        await client.list_assets(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.list_assets(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_list_assets_async(transport: str = 'grpc_asyncio', request_type=service.ListAssetsRequest):
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_assets),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(service.ListAssetsResponse(
-            next_page_token='next_page_token_value',
-        ))
-        response = await client.list_assets(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = service.ListAssetsRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListAssetsAsyncPager)
-    assert response.next_page_token == 'next_page_token_value'
-
-
-@pytest.mark.asyncio
-async def test_list_assets_async_from_dict():
-    await test_list_assets_async(request_type=dict)
-
-def test_list_assets_field_headers():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.ListAssetsRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_assets),
-            '__call__') as call:
-        call.return_value = service.ListAssetsResponse()
-        client.list_assets(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_list_assets_field_headers_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.ListAssetsRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_assets),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListAssetsResponse())
-        await client.list_assets(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-def test_list_assets_flattened():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_assets),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = service.ListAssetsResponse()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.list_assets(
-            parent='parent_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-
-
-def test_list_assets_flattened_error():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.list_assets(
-            service.ListAssetsRequest(),
-            parent='parent_value',
-        )
-
-@pytest.mark.asyncio
-async def test_list_assets_flattened_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_assets),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = service.ListAssetsResponse()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListAssetsResponse())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.list_assets(
-            parent='parent_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_list_assets_flattened_error_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.list_assets(
-            service.ListAssetsRequest(),
-            parent='parent_value',
-        )
-
-
-def test_list_assets_pager(transport_name: str = "grpc"):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_assets),
-            '__call__') as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            service.ListAssetsResponse(
-                assets=[
-                    resources.Asset(),
-                    resources.Asset(),
-                    resources.Asset(),
-                ],
-                next_page_token='abc',
-            ),
-            service.ListAssetsResponse(
-                assets=[],
-                next_page_token='def',
-            ),
-            service.ListAssetsResponse(
-                assets=[
-                    resources.Asset(),
-                ],
-                next_page_token='ghi',
-            ),
-            service.ListAssetsResponse(
-                assets=[
-                    resources.Asset(),
-                    resources.Asset(),
-                ],
-            ),
-            RuntimeError,
-        )
-
-        expected_metadata = ()
-        retry = retries.Retry()
-        timeout = 5
-        expected_metadata = tuple(expected_metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ('parent', ''),
-            )),
-        )
-        pager = client.list_assets(request={}, retry=retry, timeout=timeout)
-
-        assert pager._metadata == expected_metadata
-        assert pager._retry == retry
-        assert pager._timeout == timeout
-
-        results = list(pager)
-        assert len(results) == 6
-        assert all(isinstance(i, resources.Asset)
-                   for i in results)
-def test_list_assets_pages(transport_name: str = "grpc"):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_assets),
-            '__call__') as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            service.ListAssetsResponse(
-                assets=[
-                    resources.Asset(),
-                    resources.Asset(),
-                    resources.Asset(),
-                ],
-                next_page_token='abc',
-            ),
-            service.ListAssetsResponse(
-                assets=[],
-                next_page_token='def',
-            ),
-            service.ListAssetsResponse(
-                assets=[
-                    resources.Asset(),
-                ],
-                next_page_token='ghi',
-            ),
-            service.ListAssetsResponse(
-                assets=[
-                    resources.Asset(),
-                    resources.Asset(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = list(client.list_assets(request={}).pages)
-        for page_, token in zip(pages, ['abc','def','ghi', '']):
-            assert page_.raw_page.next_page_token == token
-
-@pytest.mark.asyncio
-async def test_list_assets_async_pager():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_assets),
-            '__call__', new_callable=mock.AsyncMock) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            service.ListAssetsResponse(
-                assets=[
-                    resources.Asset(),
-                    resources.Asset(),
-                    resources.Asset(),
-                ],
-                next_page_token='abc',
-            ),
-            service.ListAssetsResponse(
-                assets=[],
-                next_page_token='def',
-            ),
-            service.ListAssetsResponse(
-                assets=[
-                    resources.Asset(),
-                ],
-                next_page_token='ghi',
-            ),
-            service.ListAssetsResponse(
-                assets=[
-                    resources.Asset(),
-                    resources.Asset(),
-                ],
-            ),
-            RuntimeError,
-        )
-        async_pager = await client.list_assets(request={},)
-        assert async_pager.next_page_token == 'abc'
-        responses = []
-        async for response in async_pager: # pragma: no branch
-            responses.append(response)
-
-        assert len(responses) == 6
-        assert all(isinstance(i, resources.Asset)
-                for i in responses)
-
-
-@pytest.mark.asyncio
-async def test_list_assets_async_pages():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_assets),
-            '__call__', new_callable=mock.AsyncMock) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            service.ListAssetsResponse(
-                assets=[
-                    resources.Asset(),
-                    resources.Asset(),
-                    resources.Asset(),
-                ],
-                next_page_token='abc',
-            ),
-            service.ListAssetsResponse(
-                assets=[],
-                next_page_token='def',
-            ),
-            service.ListAssetsResponse(
-                assets=[
-                    resources.Asset(),
-                ],
-                next_page_token='ghi',
-            ),
-            service.ListAssetsResponse(
-                assets=[
-                    resources.Asset(),
-                    resources.Asset(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = []
-        # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch`
-        # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372
-        async for page_ in ( # pragma: no branch
-            await client.list_assets(request={})
-        ).pages:
-            pages.append(page_)
-        for page_, token in zip(pages, ['abc','def','ghi', '']):
-            assert page_.raw_page.next_page_token == token
-
-@pytest.mark.parametrize("request_type", [
-  service.GetAssetRequest,
-  dict,
-])
-def test_get_asset(request_type, transport: str = 'grpc'):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_asset),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = resources.Asset(
-            name='name_value',
-            display_name='display_name_value',
-            uid='uid_value',
-            description='description_value',
-            state=resources.State.ACTIVE,
-        )
-        response = client.get_asset(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = service.GetAssetRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, resources.Asset)
-    assert response.name == 'name_value'
-    assert response.display_name == 'display_name_value'
-    assert response.uid == 'uid_value'
-    assert response.description == 'description_value'
-    assert response.state == resources.State.ACTIVE
-
-
-def test_get_asset_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = service.GetAssetRequest(
-        name='name_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_asset),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.get_asset(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == service.GetAssetRequest(
-            name='name_value',
-        )
-
-def test_get_asset_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = DataplexServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.get_asset in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.get_asset] = mock_rpc
-        request = {}
-        client.get_asset(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.get_asset(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_get_asset_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = DataplexServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.get_asset in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.get_asset] = mock_rpc
-
-        request = {}
-        await client.get_asset(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.get_asset(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_get_asset_async(transport: str = 'grpc_asyncio', request_type=service.GetAssetRequest):
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_asset),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(resources.Asset(
-            name='name_value',
-            display_name='display_name_value',
-            uid='uid_value',
-            description='description_value',
-            state=resources.State.ACTIVE,
-        ))
-        response = await client.get_asset(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = service.GetAssetRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, resources.Asset)
-    assert response.name == 'name_value'
-    assert response.display_name == 'display_name_value'
-    assert response.uid == 'uid_value'
-    assert response.description == 'description_value'
-    assert response.state == resources.State.ACTIVE
-
-
-@pytest.mark.asyncio
-async def test_get_asset_async_from_dict():
-    await test_get_asset_async(request_type=dict)
-
-def test_get_asset_field_headers():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.GetAssetRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_asset),
-            '__call__') as call:
-        call.return_value = resources.Asset()
-        client.get_asset(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_get_asset_field_headers_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.GetAssetRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_asset),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(resources.Asset())
-        await client.get_asset(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-def test_get_asset_flattened():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_asset),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = resources.Asset()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.get_asset(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-
-def test_get_asset_flattened_error():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.get_asset(
-            service.GetAssetRequest(),
-            name='name_value',
-        )
-
-@pytest.mark.asyncio
-async def test_get_asset_flattened_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_asset),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = resources.Asset()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(resources.Asset())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.get_asset(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_get_asset_flattened_error_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.get_asset(
-            service.GetAssetRequest(),
-            name='name_value',
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  service.ListAssetActionsRequest,
-  dict,
-])
-def test_list_asset_actions(request_type, transport: str = 'grpc'):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_asset_actions),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = service.ListActionsResponse(
-            next_page_token='next_page_token_value',
-        )
-        response = client.list_asset_actions(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = service.ListAssetActionsRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListAssetActionsPager)
-    assert response.next_page_token == 'next_page_token_value'
-
-
-def test_list_asset_actions_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = service.ListAssetActionsRequest(
-        parent='parent_value',
-        page_token='page_token_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_asset_actions),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.list_asset_actions(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == service.ListAssetActionsRequest(
-            parent='parent_value',
-            page_token='page_token_value',
-        )
-
-def test_list_asset_actions_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = DataplexServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.list_asset_actions in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.list_asset_actions] = mock_rpc
-        request = {}
-        client.list_asset_actions(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.list_asset_actions(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_list_asset_actions_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = DataplexServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.list_asset_actions in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.list_asset_actions] = mock_rpc
-
-        request = {}
-        await client.list_asset_actions(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.list_asset_actions(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_list_asset_actions_async(transport: str = 'grpc_asyncio', request_type=service.ListAssetActionsRequest):
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_asset_actions),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(service.ListActionsResponse(
-            next_page_token='next_page_token_value',
-        ))
-        response = await client.list_asset_actions(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = service.ListAssetActionsRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListAssetActionsAsyncPager)
-    assert response.next_page_token == 'next_page_token_value'
-
-
-@pytest.mark.asyncio
-async def test_list_asset_actions_async_from_dict():
-    await test_list_asset_actions_async(request_type=dict)
-
-def test_list_asset_actions_field_headers():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.ListAssetActionsRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_asset_actions),
-            '__call__') as call:
-        call.return_value = service.ListActionsResponse()
-        client.list_asset_actions(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_list_asset_actions_field_headers_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.ListAssetActionsRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_asset_actions),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListActionsResponse())
-        await client.list_asset_actions(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-def test_list_asset_actions_flattened():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_asset_actions),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = service.ListActionsResponse()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.list_asset_actions(
-            parent='parent_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-
-
-def test_list_asset_actions_flattened_error():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.list_asset_actions(
-            service.ListAssetActionsRequest(),
-            parent='parent_value',
-        )
-
-@pytest.mark.asyncio
-async def test_list_asset_actions_flattened_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_asset_actions),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = service.ListActionsResponse()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListActionsResponse())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.list_asset_actions(
-            parent='parent_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_list_asset_actions_flattened_error_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.list_asset_actions(
-            service.ListAssetActionsRequest(),
-            parent='parent_value',
-        )
-
-
-def test_list_asset_actions_pager(transport_name: str = "grpc"):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_asset_actions),
-            '__call__') as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            service.ListActionsResponse(
-                actions=[
-                    resources.Action(),
-                    resources.Action(),
-                    resources.Action(),
-                ],
-                next_page_token='abc',
-            ),
-            service.ListActionsResponse(
-                actions=[],
-                next_page_token='def',
-            ),
-            service.ListActionsResponse(
-                actions=[
-                    resources.Action(),
-                ],
-                next_page_token='ghi',
-            ),
-            service.ListActionsResponse(
-                actions=[
-                    resources.Action(),
-                    resources.Action(),
-                ],
-            ),
-            RuntimeError,
-        )
-
-        expected_metadata = ()
-        retry = retries.Retry()
-        timeout = 5
-        expected_metadata = tuple(expected_metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ('parent', ''),
-            )),
-        )
-        pager = client.list_asset_actions(request={}, retry=retry, timeout=timeout)
-
-        assert pager._metadata == expected_metadata
-        assert pager._retry == retry
-        assert pager._timeout == timeout
-
-        results = list(pager)
-        assert len(results) == 6
-        assert all(isinstance(i, resources.Action)
-                   for i in results)
-def test_list_asset_actions_pages(transport_name: str = "grpc"):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_asset_actions),
-            '__call__') as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            service.ListActionsResponse(
-                actions=[
-                    resources.Action(),
-                    resources.Action(),
-                    resources.Action(),
-                ],
-                next_page_token='abc',
-            ),
-            service.ListActionsResponse(
-                actions=[],
-                next_page_token='def',
-            ),
-            service.ListActionsResponse(
-                actions=[
-                    resources.Action(),
-                ],
-                next_page_token='ghi',
-            ),
-            service.ListActionsResponse(
-                actions=[
-                    resources.Action(),
-                    resources.Action(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = list(client.list_asset_actions(request={}).pages)
-        for page_, token in zip(pages, ['abc','def','ghi', '']):
-            assert page_.raw_page.next_page_token == token
-
-@pytest.mark.asyncio
-async def test_list_asset_actions_async_pager():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_asset_actions),
-            '__call__', new_callable=mock.AsyncMock) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            service.ListActionsResponse(
-                actions=[
-                    resources.Action(),
-                    resources.Action(),
-                    resources.Action(),
-                ],
-                next_page_token='abc',
-            ),
-            service.ListActionsResponse(
-                actions=[],
-                next_page_token='def',
-            ),
-            service.ListActionsResponse(
-                actions=[
-                    resources.Action(),
-                ],
-                next_page_token='ghi',
-            ),
-            service.ListActionsResponse(
-                actions=[
-                    resources.Action(),
-                    resources.Action(),
-                ],
-            ),
-            RuntimeError,
-        )
-        async_pager = await client.list_asset_actions(request={},)
-        assert async_pager.next_page_token == 'abc'
-        responses = []
-        async for response in async_pager: # pragma: no branch
-            responses.append(response)
-
-        assert len(responses) == 6
-        assert all(isinstance(i, resources.Action)
-                for i in responses)
-
-
-@pytest.mark.asyncio
-async def test_list_asset_actions_async_pages():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_asset_actions),
-            '__call__', new_callable=mock.AsyncMock) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            service.ListActionsResponse(
-                actions=[
-                    resources.Action(),
-                    resources.Action(),
-                    resources.Action(),
-                ],
-                next_page_token='abc',
-            ),
-            service.ListActionsResponse(
-                actions=[],
-                next_page_token='def',
-            ),
-            service.ListActionsResponse(
-                actions=[
-                    resources.Action(),
-                ],
-                next_page_token='ghi',
-            ),
-            service.ListActionsResponse(
-                actions=[
-                    resources.Action(),
-                    resources.Action(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = []
-        # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch`
-        # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372
-        async for page_ in ( # pragma: no branch
-            await client.list_asset_actions(request={})
-        ).pages:
-            pages.append(page_)
-        for page_, token in zip(pages, ['abc','def','ghi', '']):
-            assert page_.raw_page.next_page_token == token
-
-@pytest.mark.parametrize("request_type", [
-  service.CreateTaskRequest,
-  dict,
-])
-def test_create_task(request_type, transport: str = 'grpc'):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_task),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/spam')
-        response = client.create_task(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = service.CreateTaskRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-def test_create_task_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = service.CreateTaskRequest(
-        parent='parent_value',
-        task_id='task_id_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_task),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.create_task(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == service.CreateTaskRequest(
-            parent='parent_value',
-            task_id='task_id_value',
-        )
-
-def test_create_task_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = DataplexServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.create_task in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.create_task] = mock_rpc
-        request = {}
-        client.create_task(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        client.create_task(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_create_task_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = DataplexServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.create_task in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.create_task] = mock_rpc
-
-        request = {}
-        await client.create_task(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        await client.create_task(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_create_task_async(transport: str = 'grpc_asyncio', request_type=service.CreateTaskRequest):
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_task),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        response = await client.create_task(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = service.CreateTaskRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-@pytest.mark.asyncio
-async def test_create_task_async_from_dict():
-    await test_create_task_async(request_type=dict)
-
-def test_create_task_field_headers():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.CreateTaskRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_task),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.create_task(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_create_task_field_headers_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.CreateTaskRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_task),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
-        await client.create_task(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-def test_create_task_flattened():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_task),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.create_task(
-            parent='parent_value',
-            task=tasks.Task(name='name_value'),
-            task_id='task_id_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-        arg = args[0].task
-        mock_val = tasks.Task(name='name_value')
-        assert arg == mock_val
-        arg = args[0].task_id
-        mock_val = 'task_id_value'
-        assert arg == mock_val
-
-
-def test_create_task_flattened_error():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.create_task(
-            service.CreateTaskRequest(),
-            parent='parent_value',
-            task=tasks.Task(name='name_value'),
-            task_id='task_id_value',
-        )
-
-@pytest.mark.asyncio
-async def test_create_task_flattened_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_task),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.create_task(
-            parent='parent_value',
-            task=tasks.Task(name='name_value'),
-            task_id='task_id_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-        arg = args[0].task
-        mock_val = tasks.Task(name='name_value')
-        assert arg == mock_val
-        arg = args[0].task_id
-        mock_val = 'task_id_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_create_task_flattened_error_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.create_task(
-            service.CreateTaskRequest(),
-            parent='parent_value',
-            task=tasks.Task(name='name_value'),
-            task_id='task_id_value',
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  service.UpdateTaskRequest,
-  dict,
-])
-def test_update_task(request_type, transport: str = 'grpc'):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_task),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/spam')
-        response = client.update_task(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = service.UpdateTaskRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-def test_update_task_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = service.UpdateTaskRequest(
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_task),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.update_task(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == service.UpdateTaskRequest(
-        )
-
-def test_update_task_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = DataplexServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.update_task in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.update_task] = mock_rpc
-        request = {}
-        client.update_task(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        client.update_task(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_update_task_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = DataplexServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.update_task in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.update_task] = mock_rpc
-
-        request = {}
-        await client.update_task(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        await client.update_task(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_update_task_async(transport: str = 'grpc_asyncio', request_type=service.UpdateTaskRequest):
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_task),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        response = await client.update_task(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = service.UpdateTaskRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-@pytest.mark.asyncio
-async def test_update_task_async_from_dict():
-    await test_update_task_async(request_type=dict)
-
-def test_update_task_field_headers():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.UpdateTaskRequest()
-
-    request.task.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_task),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.update_task(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'task.name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_update_task_field_headers_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.UpdateTaskRequest()
-
-    request.task.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_task),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
-        await client.update_task(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'task.name=name_value',
-    ) in kw['metadata']
-
-
-def test_update_task_flattened():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_task),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.update_task(
-            task=tasks.Task(name='name_value'),
-            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].task
-        mock_val = tasks.Task(name='name_value')
-        assert arg == mock_val
-        arg = args[0].update_mask
-        mock_val = field_mask_pb2.FieldMask(paths=['paths_value'])
-        assert arg == mock_val
-
-
-def test_update_task_flattened_error():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.update_task(
-            service.UpdateTaskRequest(),
-            task=tasks.Task(name='name_value'),
-            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
-        )
-
-@pytest.mark.asyncio
-async def test_update_task_flattened_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_task),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.update_task(
-            task=tasks.Task(name='name_value'),
-            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].task
-        mock_val = tasks.Task(name='name_value')
-        assert arg == mock_val
-        arg = args[0].update_mask
-        mock_val = field_mask_pb2.FieldMask(paths=['paths_value'])
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_update_task_flattened_error_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.update_task(
-            service.UpdateTaskRequest(),
-            task=tasks.Task(name='name_value'),
-            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  service.DeleteTaskRequest,
-  dict,
-])
-def test_delete_task(request_type, transport: str = 'grpc'):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_task),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/spam')
-        response = client.delete_task(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = service.DeleteTaskRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-def test_delete_task_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = service.DeleteTaskRequest(
-        name='name_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_task),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.delete_task(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == service.DeleteTaskRequest(
-            name='name_value',
-        )
-
-def test_delete_task_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = DataplexServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.delete_task in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.delete_task] = mock_rpc
-        request = {}
-        client.delete_task(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        client.delete_task(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_delete_task_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = DataplexServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.delete_task in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.delete_task] = mock_rpc
-
-        request = {}
-        await client.delete_task(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        await client.delete_task(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_delete_task_async(transport: str = 'grpc_asyncio', request_type=service.DeleteTaskRequest):
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_task),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        response = await client.delete_task(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = service.DeleteTaskRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-@pytest.mark.asyncio
-async def test_delete_task_async_from_dict():
-    await test_delete_task_async(request_type=dict)
-
-def test_delete_task_field_headers():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.DeleteTaskRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_task),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.delete_task(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_delete_task_field_headers_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.DeleteTaskRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_task),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
-        await client.delete_task(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-def test_delete_task_flattened():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_task),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.delete_task(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-
-def test_delete_task_flattened_error():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.delete_task(
-            service.DeleteTaskRequest(),
-            name='name_value',
-        )
-
-@pytest.mark.asyncio
-async def test_delete_task_flattened_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_task),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.delete_task(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_delete_task_flattened_error_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.delete_task(
-            service.DeleteTaskRequest(),
-            name='name_value',
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  service.ListTasksRequest,
-  dict,
-])
-def test_list_tasks(request_type, transport: str = 'grpc'):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_tasks),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = service.ListTasksResponse(
-            next_page_token='next_page_token_value',
-            unreachable_locations=['unreachable_locations_value'],
-        )
-        response = client.list_tasks(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = service.ListTasksRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListTasksPager)
-    assert response.next_page_token == 'next_page_token_value'
-    assert response.unreachable_locations == ['unreachable_locations_value']
-
-
-def test_list_tasks_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = service.ListTasksRequest(
-        parent='parent_value',
-        page_token='page_token_value',
-        filter='filter_value',
-        order_by='order_by_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_tasks),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.list_tasks(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == service.ListTasksRequest(
-            parent='parent_value',
-            page_token='page_token_value',
-            filter='filter_value',
-            order_by='order_by_value',
-        )
-
-def test_list_tasks_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = DataplexServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.list_tasks in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.list_tasks] = mock_rpc
-        request = {}
-        client.list_tasks(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.list_tasks(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_list_tasks_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = DataplexServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.list_tasks in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.list_tasks] = mock_rpc
-
-        request = {}
-        await client.list_tasks(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.list_tasks(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_list_tasks_async(transport: str = 'grpc_asyncio', request_type=service.ListTasksRequest):
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_tasks),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(service.ListTasksResponse(
-            next_page_token='next_page_token_value',
-            unreachable_locations=['unreachable_locations_value'],
-        ))
-        response = await client.list_tasks(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = service.ListTasksRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListTasksAsyncPager)
-    assert response.next_page_token == 'next_page_token_value'
-    assert response.unreachable_locations == ['unreachable_locations_value']
-
-
-@pytest.mark.asyncio
-async def test_list_tasks_async_from_dict():
-    await test_list_tasks_async(request_type=dict)
-
-def test_list_tasks_field_headers():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.ListTasksRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_tasks),
-            '__call__') as call:
-        call.return_value = service.ListTasksResponse()
-        client.list_tasks(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_list_tasks_field_headers_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.ListTasksRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_tasks),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListTasksResponse())
-        await client.list_tasks(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-def test_list_tasks_flattened():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_tasks),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = service.ListTasksResponse()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.list_tasks(
-            parent='parent_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-
-
-def test_list_tasks_flattened_error():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.list_tasks(
-            service.ListTasksRequest(),
-            parent='parent_value',
-        )
-
-@pytest.mark.asyncio
-async def test_list_tasks_flattened_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_tasks),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = service.ListTasksResponse()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListTasksResponse())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.list_tasks(
-            parent='parent_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_list_tasks_flattened_error_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.list_tasks(
-            service.ListTasksRequest(),
-            parent='parent_value',
-        )
-
-
-def test_list_tasks_pager(transport_name: str = "grpc"):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_tasks),
-            '__call__') as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            service.ListTasksResponse(
-                tasks=[
-                    tasks.Task(),
-                    tasks.Task(),
-                    tasks.Task(),
-                ],
-                next_page_token='abc',
-            ),
-            service.ListTasksResponse(
-                tasks=[],
-                next_page_token='def',
-            ),
-            service.ListTasksResponse(
-                tasks=[
-                    tasks.Task(),
-                ],
-                next_page_token='ghi',
-            ),
-            service.ListTasksResponse(
-                tasks=[
-                    tasks.Task(),
-                    tasks.Task(),
-                ],
-            ),
-            RuntimeError,
-        )
-
-        expected_metadata = ()
-        retry = retries.Retry()
-        timeout = 5
-        expected_metadata = tuple(expected_metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ('parent', ''),
-            )),
-        )
-        pager = client.list_tasks(request={}, retry=retry, timeout=timeout)
-
-        assert pager._metadata == expected_metadata
-        assert pager._retry == retry
-        assert pager._timeout == timeout
-
-        results = list(pager)
-        assert len(results) == 6
-        assert all(isinstance(i, tasks.Task)
-                   for i in results)
-def test_list_tasks_pages(transport_name: str = "grpc"):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_tasks),
-            '__call__') as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            service.ListTasksResponse(
-                tasks=[
-                    tasks.Task(),
-                    tasks.Task(),
-                    tasks.Task(),
-                ],
-                next_page_token='abc',
-            ),
-            service.ListTasksResponse(
-                tasks=[],
-                next_page_token='def',
-            ),
-            service.ListTasksResponse(
-                tasks=[
-                    tasks.Task(),
-                ],
-                next_page_token='ghi',
-            ),
-            service.ListTasksResponse(
-                tasks=[
-                    tasks.Task(),
-                    tasks.Task(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = list(client.list_tasks(request={}).pages)
-        for page_, token in zip(pages, ['abc','def','ghi', '']):
-            assert page_.raw_page.next_page_token == token
-
-@pytest.mark.asyncio
-async def test_list_tasks_async_pager():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_tasks),
-            '__call__', new_callable=mock.AsyncMock) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            service.ListTasksResponse(
-                tasks=[
-                    tasks.Task(),
-                    tasks.Task(),
-                    tasks.Task(),
-                ],
-                next_page_token='abc',
-            ),
-            service.ListTasksResponse(
-                tasks=[],
-                next_page_token='def',
-            ),
-            service.ListTasksResponse(
-                tasks=[
-                    tasks.Task(),
-                ],
-                next_page_token='ghi',
-            ),
-            service.ListTasksResponse(
-                tasks=[
-                    tasks.Task(),
-                    tasks.Task(),
-                ],
-            ),
-            RuntimeError,
-        )
-        async_pager = await client.list_tasks(request={},)
-        assert async_pager.next_page_token == 'abc'
-        responses = []
-        async for response in async_pager: # pragma: no branch
-            responses.append(response)
-
-        assert len(responses) == 6
-        assert all(isinstance(i, tasks.Task)
-                for i in responses)
-
-
-@pytest.mark.asyncio
-async def test_list_tasks_async_pages():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_tasks),
-            '__call__', new_callable=mock.AsyncMock) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            service.ListTasksResponse(
-                tasks=[
-                    tasks.Task(),
-                    tasks.Task(),
-                    tasks.Task(),
-                ],
-                next_page_token='abc',
-            ),
-            service.ListTasksResponse(
-                tasks=[],
-                next_page_token='def',
-            ),
-            service.ListTasksResponse(
-                tasks=[
-                    tasks.Task(),
-                ],
-                next_page_token='ghi',
-            ),
-            service.ListTasksResponse(
-                tasks=[
-                    tasks.Task(),
-                    tasks.Task(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = []
-        # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch`
-        # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372
-        async for page_ in ( # pragma: no branch
-            await client.list_tasks(request={})
-        ).pages:
-            pages.append(page_)
-        for page_, token in zip(pages, ['abc','def','ghi', '']):
-            assert page_.raw_page.next_page_token == token
-
-@pytest.mark.parametrize("request_type", [
-  service.GetTaskRequest,
-  dict,
-])
-def test_get_task(request_type, transport: str = 'grpc'):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_task),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = tasks.Task(
-            name='name_value',
-            uid='uid_value',
-            description='description_value',
-            display_name='display_name_value',
-            state=resources.State.ACTIVE,
-        )
-        response = client.get_task(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = service.GetTaskRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, tasks.Task)
-    assert response.name == 'name_value'
-    assert response.uid == 'uid_value'
-    assert response.description == 'description_value'
-    assert response.display_name == 'display_name_value'
-    assert response.state == resources.State.ACTIVE
-
-
-def test_get_task_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = service.GetTaskRequest(
-        name='name_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_task),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.get_task(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == service.GetTaskRequest(
-            name='name_value',
-        )
-
-def test_get_task_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = DataplexServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.get_task in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.get_task] = mock_rpc
-        request = {}
-        client.get_task(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.get_task(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_get_task_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = DataplexServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.get_task in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.get_task] = mock_rpc
-
-        request = {}
-        await client.get_task(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.get_task(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_get_task_async(transport: str = 'grpc_asyncio', request_type=service.GetTaskRequest):
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_task),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(tasks.Task(
-            name='name_value',
-            uid='uid_value',
-            description='description_value',
-            display_name='display_name_value',
-            state=resources.State.ACTIVE,
-        ))
-        response = await client.get_task(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = service.GetTaskRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, tasks.Task)
-    assert response.name == 'name_value'
-    assert response.uid == 'uid_value'
-    assert response.description == 'description_value'
-    assert response.display_name == 'display_name_value'
-    assert response.state == resources.State.ACTIVE
-
-
-@pytest.mark.asyncio
-async def test_get_task_async_from_dict():
-    await test_get_task_async(request_type=dict)
-
-def test_get_task_field_headers():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.GetTaskRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_task),
-            '__call__') as call:
-        call.return_value = tasks.Task()
-        client.get_task(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_get_task_field_headers_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.GetTaskRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_task),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(tasks.Task())
-        await client.get_task(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-def test_get_task_flattened():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_task),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = tasks.Task()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.get_task(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-
-def test_get_task_flattened_error():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.get_task(
-            service.GetTaskRequest(),
-            name='name_value',
-        )
-
-@pytest.mark.asyncio
-async def test_get_task_flattened_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_task),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = tasks.Task()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(tasks.Task())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.get_task(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_get_task_flattened_error_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.get_task(
-            service.GetTaskRequest(),
-            name='name_value',
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  service.ListJobsRequest,
-  dict,
-])
-def test_list_jobs(request_type, transport: str = 'grpc'):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_jobs),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = service.ListJobsResponse(
-            next_page_token='next_page_token_value',
-        )
-        response = client.list_jobs(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = service.ListJobsRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListJobsPager)
-    assert response.next_page_token == 'next_page_token_value'
-
-
-def test_list_jobs_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = service.ListJobsRequest(
-        parent='parent_value',
-        page_token='page_token_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_jobs),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.list_jobs(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == service.ListJobsRequest(
-            parent='parent_value',
-            page_token='page_token_value',
-        )
-
-def test_list_jobs_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = DataplexServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.list_jobs in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.list_jobs] = mock_rpc
-        request = {}
-        client.list_jobs(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.list_jobs(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_list_jobs_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = DataplexServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.list_jobs in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.list_jobs] = mock_rpc
-
-        request = {}
-        await client.list_jobs(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.list_jobs(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_list_jobs_async(transport: str = 'grpc_asyncio', request_type=service.ListJobsRequest):
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_jobs),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(service.ListJobsResponse(
-            next_page_token='next_page_token_value',
-        ))
-        response = await client.list_jobs(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = service.ListJobsRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListJobsAsyncPager)
-    assert response.next_page_token == 'next_page_token_value'
-
-
-@pytest.mark.asyncio
-async def test_list_jobs_async_from_dict():
-    await test_list_jobs_async(request_type=dict)
-
-def test_list_jobs_field_headers():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.ListJobsRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_jobs),
-            '__call__') as call:
-        call.return_value = service.ListJobsResponse()
-        client.list_jobs(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_list_jobs_field_headers_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.ListJobsRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_jobs),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListJobsResponse())
-        await client.list_jobs(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-def test_list_jobs_flattened():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_jobs),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = service.ListJobsResponse()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.list_jobs(
-            parent='parent_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-
-
-def test_list_jobs_flattened_error():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.list_jobs(
-            service.ListJobsRequest(),
-            parent='parent_value',
-        )
-
-@pytest.mark.asyncio
-async def test_list_jobs_flattened_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_jobs),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = service.ListJobsResponse()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListJobsResponse())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.list_jobs(
-            parent='parent_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_list_jobs_flattened_error_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.list_jobs(
-            service.ListJobsRequest(),
-            parent='parent_value',
-        )
-
-
-def test_list_jobs_pager(transport_name: str = "grpc"):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_jobs),
-            '__call__') as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            service.ListJobsResponse(
-                jobs=[
-                    tasks.Job(),
-                    tasks.Job(),
-                    tasks.Job(),
-                ],
-                next_page_token='abc',
-            ),
-            service.ListJobsResponse(
-                jobs=[],
-                next_page_token='def',
-            ),
-            service.ListJobsResponse(
-                jobs=[
-                    tasks.Job(),
-                ],
-                next_page_token='ghi',
-            ),
-            service.ListJobsResponse(
-                jobs=[
-                    tasks.Job(),
-                    tasks.Job(),
-                ],
-            ),
-            RuntimeError,
-        )
-
-        expected_metadata = ()
-        retry = retries.Retry()
-        timeout = 5
-        expected_metadata = tuple(expected_metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ('parent', ''),
-            )),
-        )
-        pager = client.list_jobs(request={}, retry=retry, timeout=timeout)
-
-        assert pager._metadata == expected_metadata
-        assert pager._retry == retry
-        assert pager._timeout == timeout
-
-        results = list(pager)
-        assert len(results) == 6
-        assert all(isinstance(i, tasks.Job)
-                   for i in results)
-def test_list_jobs_pages(transport_name: str = "grpc"):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_jobs),
-            '__call__') as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            service.ListJobsResponse(
-                jobs=[
-                    tasks.Job(),
-                    tasks.Job(),
-                    tasks.Job(),
-                ],
-                next_page_token='abc',
-            ),
-            service.ListJobsResponse(
-                jobs=[],
-                next_page_token='def',
-            ),
-            service.ListJobsResponse(
-                jobs=[
-                    tasks.Job(),
-                ],
-                next_page_token='ghi',
-            ),
-            service.ListJobsResponse(
-                jobs=[
-                    tasks.Job(),
-                    tasks.Job(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = list(client.list_jobs(request={}).pages)
-        for page_, token in zip(pages, ['abc','def','ghi', '']):
-            assert page_.raw_page.next_page_token == token
-
-@pytest.mark.asyncio
-async def test_list_jobs_async_pager():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_jobs),
-            '__call__', new_callable=mock.AsyncMock) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            service.ListJobsResponse(
-                jobs=[
-                    tasks.Job(),
-                    tasks.Job(),
-                    tasks.Job(),
-                ],
-                next_page_token='abc',
-            ),
-            service.ListJobsResponse(
-                jobs=[],
-                next_page_token='def',
-            ),
-            service.ListJobsResponse(
-                jobs=[
-                    tasks.Job(),
-                ],
-                next_page_token='ghi',
-            ),
-            service.ListJobsResponse(
-                jobs=[
-                    tasks.Job(),
-                    tasks.Job(),
-                ],
-            ),
-            RuntimeError,
-        )
-        async_pager = await client.list_jobs(request={},)
-        assert async_pager.next_page_token == 'abc'
-        responses = []
-        async for response in async_pager: # pragma: no branch
-            responses.append(response)
-
-        assert len(responses) == 6
-        assert all(isinstance(i, tasks.Job)
-                for i in responses)
-
-
-@pytest.mark.asyncio
-async def test_list_jobs_async_pages():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_jobs),
-            '__call__', new_callable=mock.AsyncMock) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            service.ListJobsResponse(
-                jobs=[
-                    tasks.Job(),
-                    tasks.Job(),
-                    tasks.Job(),
-                ],
-                next_page_token='abc',
-            ),
-            service.ListJobsResponse(
-                jobs=[],
-                next_page_token='def',
-            ),
-            service.ListJobsResponse(
-                jobs=[
-                    tasks.Job(),
-                ],
-                next_page_token='ghi',
-            ),
-            service.ListJobsResponse(
-                jobs=[
-                    tasks.Job(),
-                    tasks.Job(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = []
-        # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch`
-        # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372
-        async for page_ in ( # pragma: no branch
-            await client.list_jobs(request={})
-        ).pages:
-            pages.append(page_)
-        for page_, token in zip(pages, ['abc','def','ghi', '']):
-            assert page_.raw_page.next_page_token == token
-
-@pytest.mark.parametrize("request_type", [
-  service.RunTaskRequest,
-  dict,
-])
-def test_run_task(request_type, transport: str = 'grpc'):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.run_task),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = service.RunTaskResponse(
-        )
-        response = client.run_task(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = service.RunTaskRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, service.RunTaskResponse)
-
-
-def test_run_task_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = service.RunTaskRequest(
-        name='name_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.run_task),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.run_task(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == service.RunTaskRequest(
-            name='name_value',
-        )
-
-def test_run_task_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = DataplexServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.run_task in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.run_task] = mock_rpc
-        request = {}
-        client.run_task(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.run_task(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_run_task_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = DataplexServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.run_task in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.run_task] = mock_rpc
-
-        request = {}
-        await client.run_task(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.run_task(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_run_task_async(transport: str = 'grpc_asyncio', request_type=service.RunTaskRequest):
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.run_task),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(service.RunTaskResponse(
-        ))
-        response = await client.run_task(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = service.RunTaskRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, service.RunTaskResponse)
-
-
-@pytest.mark.asyncio
-async def test_run_task_async_from_dict():
-    await test_run_task_async(request_type=dict)
-
-def test_run_task_field_headers():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.RunTaskRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.run_task),
-            '__call__') as call:
-        call.return_value = service.RunTaskResponse()
-        client.run_task(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_run_task_field_headers_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.RunTaskRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.run_task),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.RunTaskResponse())
-        await client.run_task(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-def test_run_task_flattened():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.run_task),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = service.RunTaskResponse()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.run_task(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-
-def test_run_task_flattened_error():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.run_task(
-            service.RunTaskRequest(),
-            name='name_value',
-        )
-
-@pytest.mark.asyncio
-async def test_run_task_flattened_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.run_task),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = service.RunTaskResponse()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.RunTaskResponse())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.run_task(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_run_task_flattened_error_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.run_task(
-            service.RunTaskRequest(),
-            name='name_value',
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  service.GetJobRequest,
-  dict,
-])
-def test_get_job(request_type, transport: str = 'grpc'):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_job),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = tasks.Job(
-            name='name_value',
-            uid='uid_value',
-            state=tasks.Job.State.RUNNING,
-            retry_count=1214,
-            service=tasks.Job.Service.DATAPROC,
-            service_job='service_job_value',
-            message='message_value',
-            trigger=tasks.Job.Trigger.TASK_CONFIG,
-        )
-        response = client.get_job(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = service.GetJobRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, tasks.Job)
-    assert response.name == 'name_value'
-    assert response.uid == 'uid_value'
-    assert response.state == tasks.Job.State.RUNNING
-    assert response.retry_count == 1214
-    assert response.service == tasks.Job.Service.DATAPROC
-    assert response.service_job == 'service_job_value'
-    assert response.message == 'message_value'
-    assert response.trigger == tasks.Job.Trigger.TASK_CONFIG
-
-
-def test_get_job_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = service.GetJobRequest(
-        name='name_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_job),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.get_job(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == service.GetJobRequest(
-            name='name_value',
-        )
-
-def test_get_job_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = DataplexServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.get_job in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.get_job] = mock_rpc
-        request = {}
-        client.get_job(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.get_job(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_get_job_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = DataplexServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.get_job in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.get_job] = mock_rpc
-
-        request = {}
-        await client.get_job(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.get_job(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_get_job_async(transport: str = 'grpc_asyncio', request_type=service.GetJobRequest):
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_job),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(tasks.Job(
-            name='name_value',
-            uid='uid_value',
-            state=tasks.Job.State.RUNNING,
-            retry_count=1214,
-            service=tasks.Job.Service.DATAPROC,
-            service_job='service_job_value',
-            message='message_value',
-            trigger=tasks.Job.Trigger.TASK_CONFIG,
-        ))
-        response = await client.get_job(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = service.GetJobRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, tasks.Job)
-    assert response.name == 'name_value'
-    assert response.uid == 'uid_value'
-    assert response.state == tasks.Job.State.RUNNING
-    assert response.retry_count == 1214
-    assert response.service == tasks.Job.Service.DATAPROC
-    assert response.service_job == 'service_job_value'
-    assert response.message == 'message_value'
-    assert response.trigger == tasks.Job.Trigger.TASK_CONFIG
-
-
-@pytest.mark.asyncio
-async def test_get_job_async_from_dict():
-    await test_get_job_async(request_type=dict)
-
-def test_get_job_field_headers():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.GetJobRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_job),
-            '__call__') as call:
-        call.return_value = tasks.Job()
-        client.get_job(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_get_job_field_headers_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.GetJobRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_job),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(tasks.Job())
-        await client.get_job(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-def test_get_job_flattened():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_job),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = tasks.Job()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.get_job(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-
-def test_get_job_flattened_error():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.get_job(
-            service.GetJobRequest(),
-            name='name_value',
-        )
-
-@pytest.mark.asyncio
-async def test_get_job_flattened_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_job),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = tasks.Job()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(tasks.Job())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.get_job(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_get_job_flattened_error_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.get_job(
-            service.GetJobRequest(),
-            name='name_value',
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  service.CancelJobRequest,
-  dict,
-])
-def test_cancel_job(request_type, transport: str = 'grpc'):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.cancel_job),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = None
-        response = client.cancel_job(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = service.CancelJobRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert response is None
-
-
-def test_cancel_job_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = service.CancelJobRequest(
-        name='name_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.cancel_job),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.cancel_job(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == service.CancelJobRequest(
-            name='name_value',
-        )
-
-def test_cancel_job_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = DataplexServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.cancel_job in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.cancel_job] = mock_rpc
-        request = {}
-        client.cancel_job(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.cancel_job(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_cancel_job_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = DataplexServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.cancel_job in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.cancel_job] = mock_rpc
-
-        request = {}
-        await client.cancel_job(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.cancel_job(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_cancel_job_async(transport: str = 'grpc_asyncio', request_type=service.CancelJobRequest):
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.cancel_job),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
-        response = await client.cancel_job(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = service.CancelJobRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert response is None
-
-
-@pytest.mark.asyncio
-async def test_cancel_job_async_from_dict():
-    await test_cancel_job_async(request_type=dict)
-
-def test_cancel_job_field_headers():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.CancelJobRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.cancel_job),
-            '__call__') as call:
-        call.return_value = None
-        client.cancel_job(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_cancel_job_field_headers_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.CancelJobRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.cancel_job),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
-        await client.cancel_job(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-def test_cancel_job_flattened():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.cancel_job),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = None
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.cancel_job(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-
-def test_cancel_job_flattened_error():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.cancel_job(
-            service.CancelJobRequest(),
-            name='name_value',
-        )
-
-@pytest.mark.asyncio
-async def test_cancel_job_flattened_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.cancel_job),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = None
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.cancel_job(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_cancel_job_flattened_error_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.cancel_job(
-            service.CancelJobRequest(),
-            name='name_value',
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  service.CreateEnvironmentRequest,
-  dict,
-])
-def test_create_environment(request_type, transport: str = 'grpc'):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_environment),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/spam')
-        response = client.create_environment(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = service.CreateEnvironmentRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-def test_create_environment_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = service.CreateEnvironmentRequest(
-        parent='parent_value',
-        environment_id='environment_id_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_environment),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.create_environment(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == service.CreateEnvironmentRequest(
-            parent='parent_value',
-            environment_id='environment_id_value',
-        )
-
-def test_create_environment_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = DataplexServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.create_environment in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.create_environment] = mock_rpc
-        request = {}
-        client.create_environment(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        client.create_environment(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_create_environment_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = DataplexServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.create_environment in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.create_environment] = mock_rpc
-
-        request = {}
-        await client.create_environment(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        await client.create_environment(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_create_environment_async(transport: str = 'grpc_asyncio', request_type=service.CreateEnvironmentRequest):
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_environment),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        response = await client.create_environment(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = service.CreateEnvironmentRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-@pytest.mark.asyncio
-async def test_create_environment_async_from_dict():
-    await test_create_environment_async(request_type=dict)
-
-def test_create_environment_field_headers():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.CreateEnvironmentRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_environment),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.create_environment(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_create_environment_field_headers_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.CreateEnvironmentRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_environment),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
-        await client.create_environment(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-def test_create_environment_flattened():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_environment),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.create_environment(
-            parent='parent_value',
-            environment=analyze.Environment(name='name_value'),
-            environment_id='environment_id_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-        arg = args[0].environment
-        mock_val = analyze.Environment(name='name_value')
-        assert arg == mock_val
-        arg = args[0].environment_id
-        mock_val = 'environment_id_value'
-        assert arg == mock_val
-
-
-def test_create_environment_flattened_error():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.create_environment(
-            service.CreateEnvironmentRequest(),
-            parent='parent_value',
-            environment=analyze.Environment(name='name_value'),
-            environment_id='environment_id_value',
-        )
-
-@pytest.mark.asyncio
-async def test_create_environment_flattened_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_environment),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.create_environment(
-            parent='parent_value',
-            environment=analyze.Environment(name='name_value'),
-            environment_id='environment_id_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-        arg = args[0].environment
-        mock_val = analyze.Environment(name='name_value')
-        assert arg == mock_val
-        arg = args[0].environment_id
-        mock_val = 'environment_id_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_create_environment_flattened_error_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.create_environment(
-            service.CreateEnvironmentRequest(),
-            parent='parent_value',
-            environment=analyze.Environment(name='name_value'),
-            environment_id='environment_id_value',
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  service.UpdateEnvironmentRequest,
-  dict,
-])
-def test_update_environment(request_type, transport: str = 'grpc'):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_environment),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/spam')
-        response = client.update_environment(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = service.UpdateEnvironmentRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-def test_update_environment_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = service.UpdateEnvironmentRequest(
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_environment),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.update_environment(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == service.UpdateEnvironmentRequest(
-        )
-
-def test_update_environment_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = DataplexServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.update_environment in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.update_environment] = mock_rpc
-        request = {}
-        client.update_environment(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        client.update_environment(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_update_environment_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = DataplexServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.update_environment in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.update_environment] = mock_rpc
-
-        request = {}
-        await client.update_environment(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        await client.update_environment(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_update_environment_async(transport: str = 'grpc_asyncio', request_type=service.UpdateEnvironmentRequest):
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_environment),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        response = await client.update_environment(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = service.UpdateEnvironmentRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-@pytest.mark.asyncio
-async def test_update_environment_async_from_dict():
-    await test_update_environment_async(request_type=dict)
-
-def test_update_environment_field_headers():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.UpdateEnvironmentRequest()
-
-    request.environment.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_environment),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.update_environment(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'environment.name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_update_environment_field_headers_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.UpdateEnvironmentRequest()
-
-    request.environment.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_environment),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
-        await client.update_environment(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'environment.name=name_value',
-    ) in kw['metadata']
-
-
-def test_update_environment_flattened():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_environment),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.update_environment(
-            environment=analyze.Environment(name='name_value'),
-            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].environment
-        mock_val = analyze.Environment(name='name_value')
-        assert arg == mock_val
-        arg = args[0].update_mask
-        mock_val = field_mask_pb2.FieldMask(paths=['paths_value'])
-        assert arg == mock_val
-
-
-def test_update_environment_flattened_error():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.update_environment(
-            service.UpdateEnvironmentRequest(),
-            environment=analyze.Environment(name='name_value'),
-            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
-        )
-
-@pytest.mark.asyncio
-async def test_update_environment_flattened_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_environment),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.update_environment(
-            environment=analyze.Environment(name='name_value'),
-            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].environment
-        mock_val = analyze.Environment(name='name_value')
-        assert arg == mock_val
-        arg = args[0].update_mask
-        mock_val = field_mask_pb2.FieldMask(paths=['paths_value'])
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_update_environment_flattened_error_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.update_environment(
-            service.UpdateEnvironmentRequest(),
-            environment=analyze.Environment(name='name_value'),
-            update_mask=field_mask_pb2.FieldMask(paths=['paths_value']),
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  service.DeleteEnvironmentRequest,
-  dict,
-])
-def test_delete_environment(request_type, transport: str = 'grpc'):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_environment),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/spam')
-        response = client.delete_environment(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = service.DeleteEnvironmentRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-def test_delete_environment_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = service.DeleteEnvironmentRequest(
-        name='name_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_environment),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.delete_environment(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == service.DeleteEnvironmentRequest(
-            name='name_value',
-        )
-
-def test_delete_environment_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = DataplexServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.delete_environment in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.delete_environment] = mock_rpc
-        request = {}
-        client.delete_environment(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        client.delete_environment(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_delete_environment_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = DataplexServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.delete_environment in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.delete_environment] = mock_rpc
-
-        request = {}
-        await client.delete_environment(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        # Operation methods call wrapper_fn to build a cached
-        # client._transport.operations_client instance on first rpc call.
-        # Subsequent calls should use the cached wrapper
-        wrapper_fn.reset_mock()
-
-        await client.delete_environment(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_delete_environment_async(transport: str = 'grpc_asyncio', request_type=service.DeleteEnvironmentRequest):
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_environment),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        response = await client.delete_environment(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = service.DeleteEnvironmentRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-@pytest.mark.asyncio
-async def test_delete_environment_async_from_dict():
-    await test_delete_environment_async(request_type=dict)
-
-def test_delete_environment_field_headers():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.DeleteEnvironmentRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_environment),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.delete_environment(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_delete_environment_field_headers_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.DeleteEnvironmentRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_environment),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op'))
-        await client.delete_environment(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-def test_delete_environment_flattened():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_environment),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.delete_environment(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-
-def test_delete_environment_flattened_error():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.delete_environment(
-            service.DeleteEnvironmentRequest(),
-            name='name_value',
-        )
-
-@pytest.mark.asyncio
-async def test_delete_environment_flattened_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_environment),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name='operations/op')
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.delete_environment(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_delete_environment_flattened_error_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.delete_environment(
-            service.DeleteEnvironmentRequest(),
-            name='name_value',
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  service.ListEnvironmentsRequest,
-  dict,
-])
-def test_list_environments(request_type, transport: str = 'grpc'):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_environments),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = service.ListEnvironmentsResponse(
-            next_page_token='next_page_token_value',
-        )
-        response = client.list_environments(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = service.ListEnvironmentsRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListEnvironmentsPager)
-    assert response.next_page_token == 'next_page_token_value'
-
-
-def test_list_environments_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = service.ListEnvironmentsRequest(
-        parent='parent_value',
-        page_token='page_token_value',
-        filter='filter_value',
-        order_by='order_by_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_environments),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.list_environments(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == service.ListEnvironmentsRequest(
-            parent='parent_value',
-            page_token='page_token_value',
-            filter='filter_value',
-            order_by='order_by_value',
-        )
-
-def test_list_environments_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = DataplexServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.list_environments in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.list_environments] = mock_rpc
-        request = {}
-        client.list_environments(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.list_environments(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_list_environments_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = DataplexServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.list_environments in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.list_environments] = mock_rpc
-
-        request = {}
-        await client.list_environments(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.list_environments(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_list_environments_async(transport: str = 'grpc_asyncio', request_type=service.ListEnvironmentsRequest):
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_environments),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(service.ListEnvironmentsResponse(
-            next_page_token='next_page_token_value',
-        ))
-        response = await client.list_environments(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = service.ListEnvironmentsRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListEnvironmentsAsyncPager)
-    assert response.next_page_token == 'next_page_token_value'
-
-
-@pytest.mark.asyncio
-async def test_list_environments_async_from_dict():
-    await test_list_environments_async(request_type=dict)
-
-def test_list_environments_field_headers():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.ListEnvironmentsRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_environments),
-            '__call__') as call:
-        call.return_value = service.ListEnvironmentsResponse()
-        client.list_environments(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_list_environments_field_headers_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.ListEnvironmentsRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_environments),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListEnvironmentsResponse())
-        await client.list_environments(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-def test_list_environments_flattened():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_environments),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = service.ListEnvironmentsResponse()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.list_environments(
-            parent='parent_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-
-
-def test_list_environments_flattened_error():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.list_environments(
-            service.ListEnvironmentsRequest(),
-            parent='parent_value',
-        )
-
-@pytest.mark.asyncio
-async def test_list_environments_flattened_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_environments),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = service.ListEnvironmentsResponse()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListEnvironmentsResponse())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.list_environments(
-            parent='parent_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_list_environments_flattened_error_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.list_environments(
-            service.ListEnvironmentsRequest(),
-            parent='parent_value',
-        )
-
-
-def test_list_environments_pager(transport_name: str = "grpc"):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_environments),
-            '__call__') as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            service.ListEnvironmentsResponse(
-                environments=[
-                    analyze.Environment(),
-                    analyze.Environment(),
-                    analyze.Environment(),
-                ],
-                next_page_token='abc',
-            ),
-            service.ListEnvironmentsResponse(
-                environments=[],
-                next_page_token='def',
-            ),
-            service.ListEnvironmentsResponse(
-                environments=[
-                    analyze.Environment(),
-                ],
-                next_page_token='ghi',
-            ),
-            service.ListEnvironmentsResponse(
-                environments=[
-                    analyze.Environment(),
-                    analyze.Environment(),
-                ],
-            ),
-            RuntimeError,
-        )
-
-        expected_metadata = ()
-        retry = retries.Retry()
-        timeout = 5
-        expected_metadata = tuple(expected_metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ('parent', ''),
-            )),
-        )
-        pager = client.list_environments(request={}, retry=retry, timeout=timeout)
-
-        assert pager._metadata == expected_metadata
-        assert pager._retry == retry
-        assert pager._timeout == timeout
-
-        results = list(pager)
-        assert len(results) == 6
-        assert all(isinstance(i, analyze.Environment)
-                   for i in results)
-def test_list_environments_pages(transport_name: str = "grpc"):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_environments),
-            '__call__') as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            service.ListEnvironmentsResponse(
-                environments=[
-                    analyze.Environment(),
-                    analyze.Environment(),
-                    analyze.Environment(),
-                ],
-                next_page_token='abc',
-            ),
-            service.ListEnvironmentsResponse(
-                environments=[],
-                next_page_token='def',
-            ),
-            service.ListEnvironmentsResponse(
-                environments=[
-                    analyze.Environment(),
-                ],
-                next_page_token='ghi',
-            ),
-            service.ListEnvironmentsResponse(
-                environments=[
-                    analyze.Environment(),
-                    analyze.Environment(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = list(client.list_environments(request={}).pages)
-        for page_, token in zip(pages, ['abc','def','ghi', '']):
-            assert page_.raw_page.next_page_token == token
-
-@pytest.mark.asyncio
-async def test_list_environments_async_pager():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_environments),
-            '__call__', new_callable=mock.AsyncMock) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            service.ListEnvironmentsResponse(
-                environments=[
-                    analyze.Environment(),
-                    analyze.Environment(),
-                    analyze.Environment(),
-                ],
-                next_page_token='abc',
-            ),
-            service.ListEnvironmentsResponse(
-                environments=[],
-                next_page_token='def',
-            ),
-            service.ListEnvironmentsResponse(
-                environments=[
-                    analyze.Environment(),
-                ],
-                next_page_token='ghi',
-            ),
-            service.ListEnvironmentsResponse(
-                environments=[
-                    analyze.Environment(),
-                    analyze.Environment(),
-                ],
-            ),
-            RuntimeError,
-        )
-        async_pager = await client.list_environments(request={},)
-        assert async_pager.next_page_token == 'abc'
-        responses = []
-        async for response in async_pager: # pragma: no branch
-            responses.append(response)
-
-        assert len(responses) == 6
-        assert all(isinstance(i, analyze.Environment)
-                for i in responses)
-
-
-@pytest.mark.asyncio
-async def test_list_environments_async_pages():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_environments),
-            '__call__', new_callable=mock.AsyncMock) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            service.ListEnvironmentsResponse(
-                environments=[
-                    analyze.Environment(),
-                    analyze.Environment(),
-                    analyze.Environment(),
-                ],
-                next_page_token='abc',
-            ),
-            service.ListEnvironmentsResponse(
-                environments=[],
-                next_page_token='def',
-            ),
-            service.ListEnvironmentsResponse(
-                environments=[
-                    analyze.Environment(),
-                ],
-                next_page_token='ghi',
-            ),
-            service.ListEnvironmentsResponse(
-                environments=[
-                    analyze.Environment(),
-                    analyze.Environment(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = []
-        # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch`
-        # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372
-        async for page_ in ( # pragma: no branch
-            await client.list_environments(request={})
-        ).pages:
-            pages.append(page_)
-        for page_, token in zip(pages, ['abc','def','ghi', '']):
-            assert page_.raw_page.next_page_token == token
-
-@pytest.mark.parametrize("request_type", [
-  service.GetEnvironmentRequest,
-  dict,
-])
-def test_get_environment(request_type, transport: str = 'grpc'):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_environment),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = analyze.Environment(
-            name='name_value',
-            display_name='display_name_value',
-            uid='uid_value',
-            description='description_value',
-            state=resources.State.ACTIVE,
-        )
-        response = client.get_environment(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = service.GetEnvironmentRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, analyze.Environment)
-    assert response.name == 'name_value'
-    assert response.display_name == 'display_name_value'
-    assert response.uid == 'uid_value'
-    assert response.description == 'description_value'
-    assert response.state == resources.State.ACTIVE
-
-
-def test_get_environment_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = service.GetEnvironmentRequest(
-        name='name_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_environment),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.get_environment(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == service.GetEnvironmentRequest(
-            name='name_value',
-        )
-
-def test_get_environment_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = DataplexServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.get_environment in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.get_environment] = mock_rpc
-        request = {}
-        client.get_environment(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.get_environment(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_get_environment_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = DataplexServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.get_environment in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.get_environment] = mock_rpc
-
-        request = {}
-        await client.get_environment(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.get_environment(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_get_environment_async(transport: str = 'grpc_asyncio', request_type=service.GetEnvironmentRequest):
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_environment),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(analyze.Environment(
-            name='name_value',
-            display_name='display_name_value',
-            uid='uid_value',
-            description='description_value',
-            state=resources.State.ACTIVE,
-        ))
-        response = await client.get_environment(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = service.GetEnvironmentRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, analyze.Environment)
-    assert response.name == 'name_value'
-    assert response.display_name == 'display_name_value'
-    assert response.uid == 'uid_value'
-    assert response.description == 'description_value'
-    assert response.state == resources.State.ACTIVE
-
-
-@pytest.mark.asyncio
-async def test_get_environment_async_from_dict():
-    await test_get_environment_async(request_type=dict)
-
-def test_get_environment_field_headers():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.GetEnvironmentRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_environment),
-            '__call__') as call:
-        call.return_value = analyze.Environment()
-        client.get_environment(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_get_environment_field_headers_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.GetEnvironmentRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_environment),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(analyze.Environment())
-        await client.get_environment(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-def test_get_environment_flattened():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_environment),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = analyze.Environment()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.get_environment(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-
-def test_get_environment_flattened_error():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.get_environment(
-            service.GetEnvironmentRequest(),
-            name='name_value',
-        )
-
-@pytest.mark.asyncio
-async def test_get_environment_flattened_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_environment),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = analyze.Environment()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(analyze.Environment())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.get_environment(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_get_environment_flattened_error_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.get_environment(
-            service.GetEnvironmentRequest(),
-            name='name_value',
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  service.ListSessionsRequest,
-  dict,
-])
-def test_list_sessions(request_type, transport: str = 'grpc'):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_sessions),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = service.ListSessionsResponse(
-            next_page_token='next_page_token_value',
-        )
-        response = client.list_sessions(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = service.ListSessionsRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListSessionsPager)
-    assert response.next_page_token == 'next_page_token_value'
-
-
-def test_list_sessions_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = service.ListSessionsRequest(
-        parent='parent_value',
-        page_token='page_token_value',
-        filter='filter_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_sessions),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.list_sessions(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == service.ListSessionsRequest(
-            parent='parent_value',
-            page_token='page_token_value',
-            filter='filter_value',
-        )
-
-def test_list_sessions_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = DataplexServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.list_sessions in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.list_sessions] = mock_rpc
-        request = {}
-        client.list_sessions(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.list_sessions(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_list_sessions_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = DataplexServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.list_sessions in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.list_sessions] = mock_rpc
-
-        request = {}
-        await client.list_sessions(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.list_sessions(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_list_sessions_async(transport: str = 'grpc_asyncio', request_type=service.ListSessionsRequest):
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_sessions),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(service.ListSessionsResponse(
-            next_page_token='next_page_token_value',
-        ))
-        response = await client.list_sessions(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = service.ListSessionsRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListSessionsAsyncPager)
-    assert response.next_page_token == 'next_page_token_value'
-
-
-@pytest.mark.asyncio
-async def test_list_sessions_async_from_dict():
-    await test_list_sessions_async(request_type=dict)
-
-def test_list_sessions_field_headers():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.ListSessionsRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_sessions),
-            '__call__') as call:
-        call.return_value = service.ListSessionsResponse()
-        client.list_sessions(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_list_sessions_field_headers_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = service.ListSessionsRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_sessions),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListSessionsResponse())
-        await client.list_sessions(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-def test_list_sessions_flattened():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_sessions),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = service.ListSessionsResponse()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.list_sessions(
-            parent='parent_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-
-
-def test_list_sessions_flattened_error():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.list_sessions(
-            service.ListSessionsRequest(),
-            parent='parent_value',
-        )
-
-@pytest.mark.asyncio
-async def test_list_sessions_flattened_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_sessions),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = service.ListSessionsResponse()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListSessionsResponse())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.list_sessions(
-            parent='parent_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_list_sessions_flattened_error_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.list_sessions(
-            service.ListSessionsRequest(),
-            parent='parent_value',
-        )
-
-
-def test_list_sessions_pager(transport_name: str = "grpc"):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_sessions),
-            '__call__') as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            service.ListSessionsResponse(
-                sessions=[
-                    analyze.Session(),
-                    analyze.Session(),
-                    analyze.Session(),
-                ],
-                next_page_token='abc',
-            ),
-            service.ListSessionsResponse(
-                sessions=[],
-                next_page_token='def',
-            ),
-            service.ListSessionsResponse(
-                sessions=[
-                    analyze.Session(),
-                ],
-                next_page_token='ghi',
-            ),
-            service.ListSessionsResponse(
-                sessions=[
-                    analyze.Session(),
-                    analyze.Session(),
-                ],
-            ),
-            RuntimeError,
-        )
-
-        expected_metadata = ()
-        retry = retries.Retry()
-        timeout = 5
-        expected_metadata = tuple(expected_metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ('parent', ''),
-            )),
-        )
-        pager = client.list_sessions(request={}, retry=retry, timeout=timeout)
-
-        assert pager._metadata == expected_metadata
-        assert pager._retry == retry
-        assert pager._timeout == timeout
-
-        results = list(pager)
-        assert len(results) == 6
-        assert all(isinstance(i, analyze.Session)
-                   for i in results)
-def test_list_sessions_pages(transport_name: str = "grpc"):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_sessions),
-            '__call__') as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            service.ListSessionsResponse(
-                sessions=[
-                    analyze.Session(),
-                    analyze.Session(),
-                    analyze.Session(),
-                ],
-                next_page_token='abc',
-            ),
-            service.ListSessionsResponse(
-                sessions=[],
-                next_page_token='def',
-            ),
-            service.ListSessionsResponse(
-                sessions=[
-                    analyze.Session(),
-                ],
-                next_page_token='ghi',
-            ),
-            service.ListSessionsResponse(
-                sessions=[
-                    analyze.Session(),
-                    analyze.Session(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = list(client.list_sessions(request={}).pages)
-        for page_, token in zip(pages, ['abc','def','ghi', '']):
-            assert page_.raw_page.next_page_token == token
-
-@pytest.mark.asyncio
-async def test_list_sessions_async_pager():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_sessions),
-            '__call__', new_callable=mock.AsyncMock) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            service.ListSessionsResponse(
-                sessions=[
-                    analyze.Session(),
-                    analyze.Session(),
-                    analyze.Session(),
-                ],
-                next_page_token='abc',
-            ),
-            service.ListSessionsResponse(
-                sessions=[],
-                next_page_token='def',
-            ),
-            service.ListSessionsResponse(
-                sessions=[
-                    analyze.Session(),
-                ],
-                next_page_token='ghi',
-            ),
-            service.ListSessionsResponse(
-                sessions=[
-                    analyze.Session(),
-                    analyze.Session(),
-                ],
-            ),
-            RuntimeError,
-        )
-        async_pager = await client.list_sessions(request={},)
-        assert async_pager.next_page_token == 'abc'
-        responses = []
-        async for response in async_pager: # pragma: no branch
-            responses.append(response)
-
-        assert len(responses) == 6
-        assert all(isinstance(i, analyze.Session)
-                for i in responses)
-
-
-@pytest.mark.asyncio
-async def test_list_sessions_async_pages():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_sessions),
-            '__call__', new_callable=mock.AsyncMock) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            service.ListSessionsResponse(
-                sessions=[
-                    analyze.Session(),
-                    analyze.Session(),
-                    analyze.Session(),
-                ],
-                next_page_token='abc',
-            ),
-            service.ListSessionsResponse(
-                sessions=[],
-                next_page_token='def',
-            ),
-            service.ListSessionsResponse(
-                sessions=[
-                    analyze.Session(),
-                ],
-                next_page_token='ghi',
-            ),
-            service.ListSessionsResponse(
-                sessions=[
-                    analyze.Session(),
-                    analyze.Session(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = []
-        # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch`
-        # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372
-        async for page_ in ( # pragma: no branch
-            await client.list_sessions(request={})
-        ).pages:
-            pages.append(page_)
-        for page_, token in zip(pages, ['abc','def','ghi', '']):
-            assert page_.raw_page.next_page_token == token
-
-
-def test_credentials_transport_error():
-    # It is an error to provide credentials and a transport instance.
-    transport = transports.DataplexServiceGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    with pytest.raises(ValueError):
-        client = DataplexServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport=transport,
-        )
-
-    # It is an error to provide a credentials file and a transport instance.
-    transport = transports.DataplexServiceGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    with pytest.raises(ValueError):
-        client = DataplexServiceClient(
-            client_options={"credentials_file": "credentials.json"},
-            transport=transport,
-        )
-
-    # It is an error to provide an api_key and a transport instance.
-    transport = transports.DataplexServiceGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    options = client_options.ClientOptions()
-    options.api_key = "api_key"
-    with pytest.raises(ValueError):
-        client = DataplexServiceClient(
-            client_options=options,
-            transport=transport,
-        )
-
-    # It is an error to provide an api_key and a credential.
-    options = client_options.ClientOptions()
-    options.api_key = "api_key"
-    with pytest.raises(ValueError):
-        client = DataplexServiceClient(
-            client_options=options,
-            credentials=ga_credentials.AnonymousCredentials()
-        )
-
-    # It is an error to provide scopes and a transport instance.
-    transport = transports.DataplexServiceGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    with pytest.raises(ValueError):
-        client = DataplexServiceClient(
-            client_options={"scopes": ["1", "2"]},
-            transport=transport,
-        )
-
-
-def test_transport_instance():
-    # A client may be instantiated with a custom transport instance.
-    transport = transports.DataplexServiceGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    client = DataplexServiceClient(transport=transport)
-    assert client.transport is transport
-
-def test_transport_get_channel():
-    # A client may be instantiated with a custom transport instance.
-    transport = transports.DataplexServiceGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    channel = transport.grpc_channel
-    assert channel
-
-    transport = transports.DataplexServiceGrpcAsyncIOTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    channel = transport.grpc_channel
-    assert channel
-
-@pytest.mark.parametrize("transport_class", [
-    transports.DataplexServiceGrpcTransport,
-    transports.DataplexServiceGrpcAsyncIOTransport,
-])
-def test_transport_adc(transport_class):
-    # Test default credentials are used if not provided.
-    with mock.patch.object(google.auth, 'default') as adc:
-        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
-        transport_class()
-        adc.assert_called_once()
-
-def test_transport_kind_grpc():
-    transport = DataplexServiceClient.get_transport_class("grpc")(
-        credentials=ga_credentials.AnonymousCredentials()
-    )
-    assert transport.kind == "grpc"
-
-
-def test_initialize_client_w_grpc():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc"
-    )
-    assert client is not None
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_create_lake_empty_call_grpc():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_lake),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.create_lake(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.CreateLakeRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_update_lake_empty_call_grpc():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_lake),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.update_lake(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.UpdateLakeRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_delete_lake_empty_call_grpc():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_lake),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.delete_lake(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.DeleteLakeRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_list_lakes_empty_call_grpc():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_lakes),
-            '__call__') as call:
-        call.return_value = service.ListLakesResponse()
-        client.list_lakes(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.ListLakesRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_get_lake_empty_call_grpc():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_lake),
-            '__call__') as call:
-        call.return_value = resources.Lake()
-        client.get_lake(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.GetLakeRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_list_lake_actions_empty_call_grpc():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_lake_actions),
-            '__call__') as call:
-        call.return_value = service.ListActionsResponse()
-        client.list_lake_actions(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.ListLakeActionsRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_create_zone_empty_call_grpc():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_zone),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.create_zone(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.CreateZoneRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_update_zone_empty_call_grpc():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_zone),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.update_zone(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.UpdateZoneRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_delete_zone_empty_call_grpc():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_zone),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.delete_zone(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.DeleteZoneRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_list_zones_empty_call_grpc():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_zones),
-            '__call__') as call:
-        call.return_value = service.ListZonesResponse()
-        client.list_zones(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.ListZonesRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_get_zone_empty_call_grpc():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_zone),
-            '__call__') as call:
-        call.return_value = resources.Zone()
-        client.get_zone(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.GetZoneRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_list_zone_actions_empty_call_grpc():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_zone_actions),
-            '__call__') as call:
-        call.return_value = service.ListActionsResponse()
-        client.list_zone_actions(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.ListZoneActionsRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_create_asset_empty_call_grpc():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_asset),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.create_asset(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.CreateAssetRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_update_asset_empty_call_grpc():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_asset),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.update_asset(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.UpdateAssetRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_delete_asset_empty_call_grpc():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_asset),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.delete_asset(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.DeleteAssetRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_list_assets_empty_call_grpc():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_assets),
-            '__call__') as call:
-        call.return_value = service.ListAssetsResponse()
-        client.list_assets(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.ListAssetsRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_get_asset_empty_call_grpc():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_asset),
-            '__call__') as call:
-        call.return_value = resources.Asset()
-        client.get_asset(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.GetAssetRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_list_asset_actions_empty_call_grpc():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_asset_actions),
-            '__call__') as call:
-        call.return_value = service.ListActionsResponse()
-        client.list_asset_actions(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.ListAssetActionsRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_create_task_empty_call_grpc():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_task),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.create_task(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.CreateTaskRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_update_task_empty_call_grpc():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_task),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.update_task(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.UpdateTaskRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_delete_task_empty_call_grpc():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_task),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.delete_task(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.DeleteTaskRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_list_tasks_empty_call_grpc():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_tasks),
-            '__call__') as call:
-        call.return_value = service.ListTasksResponse()
-        client.list_tasks(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.ListTasksRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_get_task_empty_call_grpc():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_task),
-            '__call__') as call:
-        call.return_value = tasks.Task()
-        client.get_task(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.GetTaskRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_list_jobs_empty_call_grpc():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_jobs),
-            '__call__') as call:
-        call.return_value = service.ListJobsResponse()
-        client.list_jobs(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.ListJobsRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_run_task_empty_call_grpc():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.run_task),
-            '__call__') as call:
-        call.return_value = service.RunTaskResponse()
-        client.run_task(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.RunTaskRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_get_job_empty_call_grpc():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_job),
-            '__call__') as call:
-        call.return_value = tasks.Job()
-        client.get_job(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.GetJobRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_cancel_job_empty_call_grpc():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.cancel_job),
-            '__call__') as call:
-        call.return_value = None
-        client.cancel_job(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.CancelJobRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_create_environment_empty_call_grpc():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_environment),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.create_environment(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.CreateEnvironmentRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_update_environment_empty_call_grpc():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_environment),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.update_environment(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.UpdateEnvironmentRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_delete_environment_empty_call_grpc():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_environment),
-            '__call__') as call:
-        call.return_value = operations_pb2.Operation(name='operations/op')
-        client.delete_environment(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.DeleteEnvironmentRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_list_environments_empty_call_grpc():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_environments),
-            '__call__') as call:
-        call.return_value = service.ListEnvironmentsResponse()
-        client.list_environments(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.ListEnvironmentsRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_get_environment_empty_call_grpc():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_environment),
-            '__call__') as call:
-        call.return_value = analyze.Environment()
-        client.get_environment(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.GetEnvironmentRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_list_sessions_empty_call_grpc():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_sessions),
-            '__call__') as call:
-        call.return_value = service.ListSessionsResponse()
-        client.list_sessions(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.ListSessionsRequest()
-
-        assert args[0] == request_msg
-
-
-def test_transport_kind_grpc_asyncio():
-    transport = DataplexServiceAsyncClient.get_transport_class("grpc_asyncio")(
-        credentials=async_anonymous_credentials()
-    )
-    assert transport.kind == "grpc_asyncio"
-
-
-def test_initialize_client_w_grpc_asyncio():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio"
-    )
-    assert client is not None
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_create_lake_empty_call_grpc_asyncio():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_lake),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        await client.create_lake(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.CreateLakeRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_update_lake_empty_call_grpc_asyncio():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_lake),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        await client.update_lake(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.UpdateLakeRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_delete_lake_empty_call_grpc_asyncio():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_lake),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        await client.delete_lake(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.DeleteLakeRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_list_lakes_empty_call_grpc_asyncio():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_lakes),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListLakesResponse(
-            next_page_token='next_page_token_value',
-            unreachable_locations=['unreachable_locations_value'],
-        ))
-        await client.list_lakes(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.ListLakesRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_get_lake_empty_call_grpc_asyncio():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_lake),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(resources.Lake(
-            name='name_value',
-            display_name='display_name_value',
-            uid='uid_value',
-            description='description_value',
-            state=resources.State.ACTIVE,
-            service_account='service_account_value',
-        ))
-        await client.get_lake(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.GetLakeRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_list_lake_actions_empty_call_grpc_asyncio():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_lake_actions),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListActionsResponse(
-            next_page_token='next_page_token_value',
-        ))
-        await client.list_lake_actions(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.ListLakeActionsRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_create_zone_empty_call_grpc_asyncio():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_zone),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        await client.create_zone(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.CreateZoneRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_update_zone_empty_call_grpc_asyncio():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_zone),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        await client.update_zone(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.UpdateZoneRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_delete_zone_empty_call_grpc_asyncio():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_zone),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        await client.delete_zone(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.DeleteZoneRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_list_zones_empty_call_grpc_asyncio():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_zones),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListZonesResponse(
-            next_page_token='next_page_token_value',
-        ))
-        await client.list_zones(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.ListZonesRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_get_zone_empty_call_grpc_asyncio():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_zone),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(resources.Zone(
-            name='name_value',
-            display_name='display_name_value',
-            uid='uid_value',
-            description='description_value',
-            state=resources.State.ACTIVE,
-            type_=resources.Zone.Type.RAW,
-        ))
-        await client.get_zone(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.GetZoneRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_list_zone_actions_empty_call_grpc_asyncio():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_zone_actions),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListActionsResponse(
-            next_page_token='next_page_token_value',
-        ))
-        await client.list_zone_actions(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.ListZoneActionsRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_create_asset_empty_call_grpc_asyncio():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_asset),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        await client.create_asset(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.CreateAssetRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_update_asset_empty_call_grpc_asyncio():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_asset),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        await client.update_asset(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.UpdateAssetRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_delete_asset_empty_call_grpc_asyncio():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_asset),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        await client.delete_asset(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.DeleteAssetRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_list_assets_empty_call_grpc_asyncio():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_assets),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListAssetsResponse(
-            next_page_token='next_page_token_value',
-        ))
-        await client.list_assets(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.ListAssetsRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_get_asset_empty_call_grpc_asyncio():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_asset),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(resources.Asset(
-            name='name_value',
-            display_name='display_name_value',
-            uid='uid_value',
-            description='description_value',
-            state=resources.State.ACTIVE,
-        ))
-        await client.get_asset(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.GetAssetRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_list_asset_actions_empty_call_grpc_asyncio():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_asset_actions),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListActionsResponse(
-            next_page_token='next_page_token_value',
-        ))
-        await client.list_asset_actions(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.ListAssetActionsRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_create_task_empty_call_grpc_asyncio():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_task),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        await client.create_task(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.CreateTaskRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_update_task_empty_call_grpc_asyncio():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_task),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        await client.update_task(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.UpdateTaskRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_delete_task_empty_call_grpc_asyncio():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_task),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        await client.delete_task(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.DeleteTaskRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_list_tasks_empty_call_grpc_asyncio():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_tasks),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListTasksResponse(
-            next_page_token='next_page_token_value',
-            unreachable_locations=['unreachable_locations_value'],
-        ))
-        await client.list_tasks(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.ListTasksRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_get_task_empty_call_grpc_asyncio():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_task),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(tasks.Task(
-            name='name_value',
-            uid='uid_value',
-            description='description_value',
-            display_name='display_name_value',
-            state=resources.State.ACTIVE,
-        ))
-        await client.get_task(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.GetTaskRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_list_jobs_empty_call_grpc_asyncio():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_jobs),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListJobsResponse(
-            next_page_token='next_page_token_value',
-        ))
-        await client.list_jobs(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.ListJobsRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_run_task_empty_call_grpc_asyncio():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.run_task),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.RunTaskResponse(
-        ))
-        await client.run_task(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.RunTaskRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_get_job_empty_call_grpc_asyncio():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_job),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(tasks.Job(
-            name='name_value',
-            uid='uid_value',
-            state=tasks.Job.State.RUNNING,
-            retry_count=1214,
-            service=tasks.Job.Service.DATAPROC,
-            service_job='service_job_value',
-            message='message_value',
-            trigger=tasks.Job.Trigger.TASK_CONFIG,
-        ))
-        await client.get_job(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.GetJobRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_cancel_job_empty_call_grpc_asyncio():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.cancel_job),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
-        await client.cancel_job(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.CancelJobRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_create_environment_empty_call_grpc_asyncio():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_environment),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        await client.create_environment(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.CreateEnvironmentRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_update_environment_empty_call_grpc_asyncio():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_environment),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        await client.update_environment(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.UpdateEnvironmentRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_delete_environment_empty_call_grpc_asyncio():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_environment),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name='operations/spam')
-        )
-        await client.delete_environment(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.DeleteEnvironmentRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_list_environments_empty_call_grpc_asyncio():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_environments),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListEnvironmentsResponse(
-            next_page_token='next_page_token_value',
-        ))
-        await client.list_environments(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.ListEnvironmentsRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_get_environment_empty_call_grpc_asyncio():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_environment),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(analyze.Environment(
-            name='name_value',
-            display_name='display_name_value',
-            uid='uid_value',
-            description='description_value',
-            state=resources.State.ACTIVE,
-        ))
-        await client.get_environment(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.GetEnvironmentRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_list_sessions_empty_call_grpc_asyncio():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_sessions),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(service.ListSessionsResponse(
-            next_page_token='next_page_token_value',
-        ))
-        await client.list_sessions(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = service.ListSessionsRequest()
-
-        assert args[0] == request_msg
-
-
-def test_transport_grpc_default():
-    # A client should use the gRPC transport by default.
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    assert isinstance(
-        client.transport,
-        transports.DataplexServiceGrpcTransport,
-    )
-
-def test_dataplex_service_base_transport_error():
-    # Passing both a credentials object and credentials_file should raise an error
-    with pytest.raises(core_exceptions.DuplicateCredentialArgs):
-        transport = transports.DataplexServiceTransport(
-            credentials=ga_credentials.AnonymousCredentials(),
-            credentials_file="credentials.json"
-        )
-
-
-def test_dataplex_service_base_transport():
-    # Instantiate the base transport.
-    with mock.patch('google.cloud.dataplex_v1.services.dataplex_service.transports.DataplexServiceTransport.__init__') as Transport:
-        Transport.return_value = None
-        transport = transports.DataplexServiceTransport(
-            credentials=ga_credentials.AnonymousCredentials(),
-        )
-
-    # Every method on the transport should just blindly
-    # raise NotImplementedError.
-    methods = (
-        'create_lake',
-        'update_lake',
-        'delete_lake',
-        'list_lakes',
-        'get_lake',
-        'list_lake_actions',
-        'create_zone',
-        'update_zone',
-        'delete_zone',
-        'list_zones',
-        'get_zone',
-        'list_zone_actions',
-        'create_asset',
-        'update_asset',
-        'delete_asset',
-        'list_assets',
-        'get_asset',
-        'list_asset_actions',
-        'create_task',
-        'update_task',
-        'delete_task',
-        'list_tasks',
-        'get_task',
-        'list_jobs',
-        'run_task',
-        'get_job',
-        'cancel_job',
-        'create_environment',
-        'update_environment',
-        'delete_environment',
-        'list_environments',
-        'get_environment',
-        'list_sessions',
-        'get_location',
-        'list_locations',
-        'get_operation',
-        'cancel_operation',
-        'delete_operation',
-        'list_operations',
-    )
-    for method in methods:
-        with pytest.raises(NotImplementedError):
-            getattr(transport, method)(request=object())
-
-    with pytest.raises(NotImplementedError):
-        transport.close()
-
-    # Additionally, the LRO client (a property) should
-    # also raise NotImplementedError
-    with pytest.raises(NotImplementedError):
-        transport.operations_client
-
-    # Catch all for all remaining methods and properties
-    remainder = [
-        'kind',
-    ]
-    for r in remainder:
-        with pytest.raises(NotImplementedError):
-            getattr(transport, r)()
-
-
-def test_dataplex_service_base_transport_with_credentials_file():
-    # Instantiate the base transport with a credentials file
-    with mock.patch.object(google.auth, 'load_credentials_from_file', autospec=True) as load_creds, mock.patch('google.cloud.dataplex_v1.services.dataplex_service.transports.DataplexServiceTransport._prep_wrapped_messages') as Transport:
-        Transport.return_value = None
-        load_creds.return_value = (ga_credentials.AnonymousCredentials(), None)
-        transport = transports.DataplexServiceTransport(
-            credentials_file="credentials.json",
-            quota_project_id="octopus",
-        )
-        load_creds.assert_called_once_with("credentials.json",
-            scopes=None,
-            default_scopes=(
-            'https://www.googleapis.com/auth/cloud-platform',
-),
-            quota_project_id="octopus",
-        )
-
-
-def test_dataplex_service_base_transport_with_adc():
-    # Test the default credentials are used if credentials and credentials_file are None.
-    with mock.patch.object(google.auth, 'default', autospec=True) as adc, mock.patch('google.cloud.dataplex_v1.services.dataplex_service.transports.DataplexServiceTransport._prep_wrapped_messages') as Transport:
-        Transport.return_value = None
-        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
-        transport = transports.DataplexServiceTransport()
-        adc.assert_called_once()
-
-
-def test_dataplex_service_auth_adc():
-    # If no credentials are provided, we should use ADC credentials.
-    with mock.patch.object(google.auth, 'default', autospec=True) as adc:
-        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
-        DataplexServiceClient()
-        adc.assert_called_once_with(
-            scopes=None,
-            default_scopes=(
-            'https://www.googleapis.com/auth/cloud-platform',
-),
-            quota_project_id=None,
-        )
-
-
-@pytest.mark.parametrize(
-    "transport_class",
-    [
-        transports.DataplexServiceGrpcTransport,
-        transports.DataplexServiceGrpcAsyncIOTransport,
-    ],
-)
-def test_dataplex_service_transport_auth_adc(transport_class):
-    # If credentials and host are not provided, the transport class should use
-    # ADC credentials.
-    with mock.patch.object(google.auth, 'default', autospec=True) as adc:
-        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
-        transport_class(quota_project_id="octopus", scopes=["1", "2"])
-        adc.assert_called_once_with(
-            scopes=["1", "2"],
-            default_scopes=(                'https://www.googleapis.com/auth/cloud-platform',),
-            quota_project_id="octopus",
-        )
-
-
-@pytest.mark.parametrize(
-    "transport_class",
-    [
-        transports.DataplexServiceGrpcTransport,
-        transports.DataplexServiceGrpcAsyncIOTransport,
-    ],
-)
-def test_dataplex_service_transport_auth_gdch_credentials(transport_class):
-    host = 'https://language.com'
-    api_audience_tests = [None, 'https://language2.com']
-    api_audience_expect = [host, 'https://language2.com']
-    for t, e in zip(api_audience_tests, api_audience_expect):
-        with mock.patch.object(google.auth, 'default', autospec=True) as adc:
-            gdch_mock = mock.MagicMock()
-            type(gdch_mock).with_gdch_audience = mock.PropertyMock(return_value=gdch_mock)
-            adc.return_value = (gdch_mock, None)
-            transport_class(host=host, api_audience=t)
-            gdch_mock.with_gdch_audience.assert_called_once_with(
-                e
-            )
-
-
-@pytest.mark.parametrize(
-    "transport_class,grpc_helpers",
-    [
-        (transports.DataplexServiceGrpcTransport, grpc_helpers),
-        (transports.DataplexServiceGrpcAsyncIOTransport, grpc_helpers_async)
-    ],
-)
-def test_dataplex_service_transport_create_channel(transport_class, grpc_helpers):
-    # If credentials and host are not provided, the transport class should use
-    # ADC credentials.
-    with mock.patch.object(google.auth, "default", autospec=True) as adc, mock.patch.object(
-        grpc_helpers, "create_channel", autospec=True
-    ) as create_channel:
-        creds = ga_credentials.AnonymousCredentials()
-        adc.return_value = (creds, None)
-        transport_class(
-            quota_project_id="octopus",
-            scopes=["1", "2"]
-        )
-
-        create_channel.assert_called_with(
-            "dataplex.googleapis.com:443",
-            credentials=creds,
-            credentials_file=None,
-            quota_project_id="octopus",
-            default_scopes=(
-                'https://www.googleapis.com/auth/cloud-platform',
-),
-            scopes=["1", "2"],
-            default_host="dataplex.googleapis.com",
-            ssl_credentials=None,
-            options=[
-                ("grpc.max_send_message_length", -1),
-                ("grpc.max_receive_message_length", -1),
-            ],
-        )
-
-
-@pytest.mark.parametrize("transport_class", [transports.DataplexServiceGrpcTransport, transports.DataplexServiceGrpcAsyncIOTransport])
-def test_dataplex_service_grpc_transport_client_cert_source_for_mtls(
-    transport_class
-):
-    cred = ga_credentials.AnonymousCredentials()
-
-    # Check ssl_channel_credentials is used if provided.
-    with mock.patch.object(transport_class, "create_channel") as mock_create_channel:
-        mock_ssl_channel_creds = mock.Mock()
-        transport_class(
-            host="squid.clam.whelk",
-            credentials=cred,
-            ssl_channel_credentials=mock_ssl_channel_creds
-        )
-        mock_create_channel.assert_called_once_with(
-            "squid.clam.whelk:443",
-            credentials=cred,
-            credentials_file=None,
-            scopes=None,
-            ssl_credentials=mock_ssl_channel_creds,
-            quota_project_id=None,
-            options=[
-                ("grpc.max_send_message_length", -1),
-                ("grpc.max_receive_message_length", -1),
-            ],
-        )
-
-    # Check if ssl_channel_credentials is not provided, then client_cert_source_for_mtls
-    # is used.
-    with mock.patch.object(transport_class, "create_channel", return_value=mock.Mock()):
-        with mock.patch("grpc.ssl_channel_credentials") as mock_ssl_cred:
-            transport_class(
-                credentials=cred,
-                client_cert_source_for_mtls=client_cert_source_callback
-            )
-            expected_cert, expected_key = client_cert_source_callback()
-            mock_ssl_cred.assert_called_once_with(
-                certificate_chain=expected_cert,
-                private_key=expected_key
-            )
-
-
-@pytest.mark.parametrize("transport_name", [
-    "grpc",
-    "grpc_asyncio",
-])
-def test_dataplex_service_host_no_port(transport_name):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        client_options=client_options.ClientOptions(api_endpoint='dataplex.googleapis.com'),
-         transport=transport_name,
-    )
-    assert client.transport._host == (
-        'dataplex.googleapis.com:443'
-    )
-
-@pytest.mark.parametrize("transport_name", [
-    "grpc",
-    "grpc_asyncio",
-])
-def test_dataplex_service_host_with_port(transport_name):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        client_options=client_options.ClientOptions(api_endpoint='dataplex.googleapis.com:8000'),
-        transport=transport_name,
-    )
-    assert client.transport._host == (
-        'dataplex.googleapis.com:8000'
-    )
-
-def test_dataplex_service_grpc_transport_channel():
-    channel = grpc.secure_channel('http://localhost/', grpc.local_channel_credentials())
-
-    # Check that channel is used if provided.
-    transport = transports.DataplexServiceGrpcTransport(
-        host="squid.clam.whelk",
-        channel=channel,
-    )
-    assert transport.grpc_channel == channel
-    assert transport._host == "squid.clam.whelk:443"
-    assert transport._ssl_channel_credentials == None
-
-
-def test_dataplex_service_grpc_asyncio_transport_channel():
-    channel = aio.secure_channel('http://localhost/', grpc.local_channel_credentials())
-
-    # Check that channel is used if provided.
-    transport = transports.DataplexServiceGrpcAsyncIOTransport(
-        host="squid.clam.whelk",
-        channel=channel,
-    )
-    assert transport.grpc_channel == channel
-    assert transport._host == "squid.clam.whelk:443"
-    assert transport._ssl_channel_credentials == None
-
-
-# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are
-# removed from grpc/grpc_asyncio transport constructor.
-@pytest.mark.parametrize("transport_class", [transports.DataplexServiceGrpcTransport, transports.DataplexServiceGrpcAsyncIOTransport])
-def test_dataplex_service_transport_channel_mtls_with_client_cert_source(
-    transport_class
-):
-    with mock.patch("grpc.ssl_channel_credentials", autospec=True) as grpc_ssl_channel_cred:
-        with mock.patch.object(transport_class, "create_channel") as grpc_create_channel:
-            mock_ssl_cred = mock.Mock()
-            grpc_ssl_channel_cred.return_value = mock_ssl_cred
-
-            mock_grpc_channel = mock.Mock()
-            grpc_create_channel.return_value = mock_grpc_channel
-
-            cred = ga_credentials.AnonymousCredentials()
-            with pytest.warns(DeprecationWarning):
-                with mock.patch.object(google.auth, 'default') as adc:
-                    adc.return_value = (cred, None)
-                    transport = transport_class(
-                        host="squid.clam.whelk",
-                        api_mtls_endpoint="mtls.squid.clam.whelk",
-                        client_cert_source=client_cert_source_callback,
-                    )
-                    adc.assert_called_once()
-
-            grpc_ssl_channel_cred.assert_called_once_with(
-                certificate_chain=b"cert bytes", private_key=b"key bytes"
-            )
-            grpc_create_channel.assert_called_once_with(
-                "mtls.squid.clam.whelk:443",
-                credentials=cred,
-                credentials_file=None,
-                scopes=None,
-                ssl_credentials=mock_ssl_cred,
-                quota_project_id=None,
-                options=[
-                    ("grpc.max_send_message_length", -1),
-                    ("grpc.max_receive_message_length", -1),
-                ],
-            )
-            assert transport.grpc_channel == mock_grpc_channel
-            assert transport._ssl_channel_credentials == mock_ssl_cred
-
-
-# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are
-# removed from grpc/grpc_asyncio transport constructor.
-@pytest.mark.parametrize("transport_class", [transports.DataplexServiceGrpcTransport, transports.DataplexServiceGrpcAsyncIOTransport])
-def test_dataplex_service_transport_channel_mtls_with_adc(
-    transport_class
-):
-    mock_ssl_cred = mock.Mock()
-    with mock.patch.multiple(
-        "google.auth.transport.grpc.SslCredentials",
-        __init__=mock.Mock(return_value=None),
-        ssl_credentials=mock.PropertyMock(return_value=mock_ssl_cred),
-    ):
-        with mock.patch.object(transport_class, "create_channel") as grpc_create_channel:
-            mock_grpc_channel = mock.Mock()
-            grpc_create_channel.return_value = mock_grpc_channel
-            mock_cred = mock.Mock()
-
-            with pytest.warns(DeprecationWarning):
-                transport = transport_class(
-                    host="squid.clam.whelk",
-                    credentials=mock_cred,
-                    api_mtls_endpoint="mtls.squid.clam.whelk",
-                    client_cert_source=None,
-                )
-
-            grpc_create_channel.assert_called_once_with(
-                "mtls.squid.clam.whelk:443",
-                credentials=mock_cred,
-                credentials_file=None,
-                scopes=None,
-                ssl_credentials=mock_ssl_cred,
-                quota_project_id=None,
-                options=[
-                    ("grpc.max_send_message_length", -1),
-                    ("grpc.max_receive_message_length", -1),
-                ],
-            )
-            assert transport.grpc_channel == mock_grpc_channel
-
-
-def test_dataplex_service_grpc_lro_client():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-    transport = client.transport
-
-    # Ensure that we have a api-core operations client.
-    assert isinstance(
-        transport.operations_client,
-        operations_v1.OperationsClient,
-    )
-
-    # Ensure that subsequent calls to the property send the exact same object.
-    assert transport.operations_client is transport.operations_client
-
-
-def test_dataplex_service_grpc_lro_async_client():
-    client = DataplexServiceAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc_asyncio',
-    )
-    transport = client.transport
-
-    # Ensure that we have a api-core operations client.
-    assert isinstance(
-        transport.operations_client,
-        operations_v1.OperationsAsyncClient,
-    )
-
-    # Ensure that subsequent calls to the property send the exact same object.
-    assert transport.operations_client is transport.operations_client
-
-
-def test_action_path():
-    project = "squid"
-    location = "clam"
-    lake = "whelk"
-    action = "octopus"
-    expected = "projects/{project}/locations/{location}/lakes/{lake}/actions/{action}".format(project=project, location=location, lake=lake, action=action, )
-    actual = DataplexServiceClient.action_path(project, location, lake, action)
-    assert expected == actual
-
-
-def test_parse_action_path():
-    expected = {
-        "project": "oyster",
-        "location": "nudibranch",
-        "lake": "cuttlefish",
-        "action": "mussel",
-    }
-    path = DataplexServiceClient.action_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = DataplexServiceClient.parse_action_path(path)
-    assert expected == actual
-
-def test_asset_path():
-    project = "winkle"
-    location = "nautilus"
-    lake = "scallop"
-    zone = "abalone"
-    asset = "squid"
-    expected = "projects/{project}/locations/{location}/lakes/{lake}/zones/{zone}/assets/{asset}".format(project=project, location=location, lake=lake, zone=zone, asset=asset, )
-    actual = DataplexServiceClient.asset_path(project, location, lake, zone, asset)
-    assert expected == actual
-
-
-def test_parse_asset_path():
-    expected = {
-        "project": "clam",
-        "location": "whelk",
-        "lake": "octopus",
-        "zone": "oyster",
-        "asset": "nudibranch",
-    }
-    path = DataplexServiceClient.asset_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = DataplexServiceClient.parse_asset_path(path)
-    assert expected == actual
-
-def test_environment_path():
-    project = "cuttlefish"
-    location = "mussel"
-    lake = "winkle"
-    environment = "nautilus"
-    expected = "projects/{project}/locations/{location}/lakes/{lake}/environments/{environment}".format(project=project, location=location, lake=lake, environment=environment, )
-    actual = DataplexServiceClient.environment_path(project, location, lake, environment)
-    assert expected == actual
-
-
-def test_parse_environment_path():
-    expected = {
-        "project": "scallop",
-        "location": "abalone",
-        "lake": "squid",
-        "environment": "clam",
-    }
-    path = DataplexServiceClient.environment_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = DataplexServiceClient.parse_environment_path(path)
-    assert expected == actual
-
-def test_job_path():
-    project = "whelk"
-    location = "octopus"
-    lake = "oyster"
-    task = "nudibranch"
-    job = "cuttlefish"
-    expected = "projects/{project}/locations/{location}/lakes/{lake}/tasks/{task}/jobs/{job}".format(project=project, location=location, lake=lake, task=task, job=job, )
-    actual = DataplexServiceClient.job_path(project, location, lake, task, job)
-    assert expected == actual
-
-
-def test_parse_job_path():
-    expected = {
-        "project": "mussel",
-        "location": "winkle",
-        "lake": "nautilus",
-        "task": "scallop",
-        "job": "abalone",
-    }
-    path = DataplexServiceClient.job_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = DataplexServiceClient.parse_job_path(path)
-    assert expected == actual
-
-def test_lake_path():
-    project = "squid"
-    location = "clam"
-    lake = "whelk"
-    expected = "projects/{project}/locations/{location}/lakes/{lake}".format(project=project, location=location, lake=lake, )
-    actual = DataplexServiceClient.lake_path(project, location, lake)
-    assert expected == actual
-
-
-def test_parse_lake_path():
-    expected = {
-        "project": "octopus",
-        "location": "oyster",
-        "lake": "nudibranch",
-    }
-    path = DataplexServiceClient.lake_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = DataplexServiceClient.parse_lake_path(path)
-    assert expected == actual
-
-def test_session_path():
-    project = "cuttlefish"
-    location = "mussel"
-    lake = "winkle"
-    environment = "nautilus"
-    session = "scallop"
-    expected = "projects/{project}/locations/{location}/lakes/{lake}/environments/{environment}/sessions/{session}".format(project=project, location=location, lake=lake, environment=environment, session=session, )
-    actual = DataplexServiceClient.session_path(project, location, lake, environment, session)
-    assert expected == actual
-
-
-def test_parse_session_path():
-    expected = {
-        "project": "abalone",
-        "location": "squid",
-        "lake": "clam",
-        "environment": "whelk",
-        "session": "octopus",
-    }
-    path = DataplexServiceClient.session_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = DataplexServiceClient.parse_session_path(path)
-    assert expected == actual
-
-def test_task_path():
-    project = "oyster"
-    location = "nudibranch"
-    lake = "cuttlefish"
-    task = "mussel"
-    expected = "projects/{project}/locations/{location}/lakes/{lake}/tasks/{task}".format(project=project, location=location, lake=lake, task=task, )
-    actual = DataplexServiceClient.task_path(project, location, lake, task)
-    assert expected == actual
-
-
-def test_parse_task_path():
-    expected = {
-        "project": "winkle",
-        "location": "nautilus",
-        "lake": "scallop",
-        "task": "abalone",
-    }
-    path = DataplexServiceClient.task_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = DataplexServiceClient.parse_task_path(path)
-    assert expected == actual
-
-def test_zone_path():
-    project = "squid"
-    location = "clam"
-    lake = "whelk"
-    zone = "octopus"
-    expected = "projects/{project}/locations/{location}/lakes/{lake}/zones/{zone}".format(project=project, location=location, lake=lake, zone=zone, )
-    actual = DataplexServiceClient.zone_path(project, location, lake, zone)
-    assert expected == actual
-
-
-def test_parse_zone_path():
-    expected = {
-        "project": "oyster",
-        "location": "nudibranch",
-        "lake": "cuttlefish",
-        "zone": "mussel",
-    }
-    path = DataplexServiceClient.zone_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = DataplexServiceClient.parse_zone_path(path)
-    assert expected == actual
-
-def test_common_billing_account_path():
-    billing_account = "winkle"
-    expected = "billingAccounts/{billing_account}".format(billing_account=billing_account, )
-    actual = DataplexServiceClient.common_billing_account_path(billing_account)
-    assert expected == actual
-
-
-def test_parse_common_billing_account_path():
-    expected = {
-        "billing_account": "nautilus",
-    }
-    path = DataplexServiceClient.common_billing_account_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = DataplexServiceClient.parse_common_billing_account_path(path)
-    assert expected == actual
-
-def test_common_folder_path():
-    folder = "scallop"
-    expected = "folders/{folder}".format(folder=folder, )
-    actual = DataplexServiceClient.common_folder_path(folder)
-    assert expected == actual
-
-
-def test_parse_common_folder_path():
-    expected = {
-        "folder": "abalone",
-    }
-    path = DataplexServiceClient.common_folder_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = DataplexServiceClient.parse_common_folder_path(path)
-    assert expected == actual
-
-def test_common_organization_path():
-    organization = "squid"
-    expected = "organizations/{organization}".format(organization=organization, )
-    actual = DataplexServiceClient.common_organization_path(organization)
-    assert expected == actual
-
-
-def test_parse_common_organization_path():
-    expected = {
-        "organization": "clam",
-    }
-    path = DataplexServiceClient.common_organization_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = DataplexServiceClient.parse_common_organization_path(path)
-    assert expected == actual
-
-def test_common_project_path():
-    project = "whelk"
-    expected = "projects/{project}".format(project=project, )
-    actual = DataplexServiceClient.common_project_path(project)
-    assert expected == actual
-
-
-def test_parse_common_project_path():
-    expected = {
-        "project": "octopus",
-    }
-    path = DataplexServiceClient.common_project_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = DataplexServiceClient.parse_common_project_path(path)
-    assert expected == actual
-
-def test_common_location_path():
-    project = "oyster"
-    location = "nudibranch"
-    expected = "projects/{project}/locations/{location}".format(project=project, location=location, )
-    actual = DataplexServiceClient.common_location_path(project, location)
-    assert expected == actual
-
-
-def test_parse_common_location_path():
-    expected = {
-        "project": "cuttlefish",
-        "location": "mussel",
-    }
-    path = DataplexServiceClient.common_location_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = DataplexServiceClient.parse_common_location_path(path)
-    assert expected == actual
-
-
-def test_client_with_default_client_info():
-    client_info = gapic_v1.client_info.ClientInfo()
-
-    with mock.patch.object(transports.DataplexServiceTransport, '_prep_wrapped_messages') as prep:
-        client = DataplexServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            client_info=client_info,
-        )
-        prep.assert_called_once_with(client_info)
-
-    with mock.patch.object(transports.DataplexServiceTransport, '_prep_wrapped_messages') as prep:
-        transport_class = DataplexServiceClient.get_transport_class()
-        transport = transport_class(
-            credentials=ga_credentials.AnonymousCredentials(),
-            client_info=client_info,
-        )
-        prep.assert_called_once_with(client_info)
-
-
-def test_delete_operation(transport: str = "grpc"):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.DeleteOperationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = None
-        response = client.delete_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert response is None
-@pytest.mark.asyncio
-async def test_delete_operation_async(transport: str = "grpc_asyncio"):
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.DeleteOperationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            None
-        )
-        response = await client.delete_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert response is None
-
-def test_delete_operation_field_headers():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.DeleteOperationRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
-        call.return_value =  None
-
-        client.delete_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-@pytest.mark.asyncio
-async def test_delete_operation_field_headers_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.DeleteOperationRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            None
-        )
-        await client.delete_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-
-def test_delete_operation_from_dict():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = None
-
-        response = client.delete_operation(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-@pytest.mark.asyncio
-async def test_delete_operation_from_dict_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            None
-        )
-        response = await client.delete_operation(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-def test_cancel_operation(transport: str = "grpc"):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.CancelOperationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = None
-        response = client.cancel_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert response is None
-@pytest.mark.asyncio
-async def test_cancel_operation_async(transport: str = "grpc_asyncio"):
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.CancelOperationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            None
-        )
-        response = await client.cancel_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert response is None
-
-def test_cancel_operation_field_headers():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.CancelOperationRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
-        call.return_value =  None
-
-        client.cancel_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-@pytest.mark.asyncio
-async def test_cancel_operation_field_headers_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.CancelOperationRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            None
-        )
-        await client.cancel_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-
-def test_cancel_operation_from_dict():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = None
-
-        response = client.cancel_operation(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-@pytest.mark.asyncio
-async def test_cancel_operation_from_dict_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            None
-        )
-        response = await client.cancel_operation(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-def test_get_operation(transport: str = "grpc"):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.GetOperationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation()
-        response = client.get_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, operations_pb2.Operation)
-@pytest.mark.asyncio
-async def test_get_operation_async(transport: str = "grpc_asyncio"):
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.GetOperationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation()
-        )
-        response = await client.get_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, operations_pb2.Operation)
-
-def test_get_operation_field_headers():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.GetOperationRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        call.return_value = operations_pb2.Operation()
-
-        client.get_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-@pytest.mark.asyncio
-async def test_get_operation_field_headers_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.GetOperationRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation()
-        )
-        await client.get_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-
-def test_get_operation_from_dict():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation()
-
-        response = client.get_operation(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-@pytest.mark.asyncio
-async def test_get_operation_from_dict_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation()
-        )
-        response = await client.get_operation(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-def test_list_operations(transport: str = "grpc"):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.ListOperationsRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.ListOperationsResponse()
-        response = client.list_operations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, operations_pb2.ListOperationsResponse)
-@pytest.mark.asyncio
-async def test_list_operations_async(transport: str = "grpc_asyncio"):
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.ListOperationsRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.ListOperationsResponse()
-        )
-        response = await client.list_operations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, operations_pb2.ListOperationsResponse)
-
-def test_list_operations_field_headers():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.ListOperationsRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        call.return_value = operations_pb2.ListOperationsResponse()
-
-        client.list_operations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-@pytest.mark.asyncio
-async def test_list_operations_field_headers_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.ListOperationsRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.ListOperationsResponse()
-        )
-        await client.list_operations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-
-def test_list_operations_from_dict():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.ListOperationsResponse()
-
-        response = client.list_operations(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-@pytest.mark.asyncio
-async def test_list_operations_from_dict_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.ListOperationsResponse()
-        )
-        response = await client.list_operations(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-def test_list_locations(transport: str = "grpc"):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = locations_pb2.ListLocationsRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = locations_pb2.ListLocationsResponse()
-        response = client.list_locations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, locations_pb2.ListLocationsResponse)
-@pytest.mark.asyncio
-async def test_list_locations_async(transport: str = "grpc_asyncio"):
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = locations_pb2.ListLocationsRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            locations_pb2.ListLocationsResponse()
-        )
-        response = await client.list_locations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, locations_pb2.ListLocationsResponse)
-
-def test_list_locations_field_headers():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = locations_pb2.ListLocationsRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
-        call.return_value = locations_pb2.ListLocationsResponse()
-
-        client.list_locations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-@pytest.mark.asyncio
-async def test_list_locations_field_headers_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = locations_pb2.ListLocationsRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            locations_pb2.ListLocationsResponse()
-        )
-        await client.list_locations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-
-def test_list_locations_from_dict():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = locations_pb2.ListLocationsResponse()
-
-        response = client.list_locations(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-@pytest.mark.asyncio
-async def test_list_locations_from_dict_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            locations_pb2.ListLocationsResponse()
-        )
-        response = await client.list_locations(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-def test_get_location(transport: str = "grpc"):
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = locations_pb2.GetLocationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_location), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = locations_pb2.Location()
-        response = client.get_location(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, locations_pb2.Location)
-@pytest.mark.asyncio
-async def test_get_location_async(transport: str = "grpc_asyncio"):
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = locations_pb2.GetLocationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_location), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            locations_pb2.Location()
-        )
-        response = await client.get_location(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, locations_pb2.Location)
-
-def test_get_location_field_headers():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials())
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = locations_pb2.GetLocationRequest()
-    request.name = "locations/abc"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_location), "__call__") as call:
-        call.return_value = locations_pb2.Location()
-
-        client.get_location(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations/abc",) in kw["metadata"]
-@pytest.mark.asyncio
-async def test_get_location_field_headers_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials()
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = locations_pb2.GetLocationRequest()
-    request.name = "locations/abc"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_location), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            locations_pb2.Location()
-        )
-        await client.get_location(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations/abc",) in kw["metadata"]
-
-def test_get_location_from_dict():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = locations_pb2.Location()
-
-        response = client.get_location(
-            request={
-                "name": "locations/abc",
-            }
-        )
-        call.assert_called()
-@pytest.mark.asyncio
-async def test_get_location_from_dict_async():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            locations_pb2.Location()
-        )
-        response = await client.get_location(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-def test_transport_close_grpc():
-    client = DataplexServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc"
-    )
-    with mock.patch.object(type(getattr(client.transport, "_grpc_channel")), "close") as close:
-        with client:
-            close.assert_not_called()
-        close.assert_called_once()
-
-
-@pytest.mark.asyncio
-async def test_transport_close_grpc_asyncio():
-    client = DataplexServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio"
-    )
-    with mock.patch.object(type(getattr(client.transport, "_grpc_channel")), "close") as close:
-        async with client:
-            close.assert_not_called()
-        close.assert_called_once()
-
-
-def test_client_ctx():
-    transports = [
-        'grpc',
-    ]
-    for transport in transports:
-        client = DataplexServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport=transport
-        )
-        # Test client calls underlying transport.
-        with mock.patch.object(type(client.transport), "close") as close:
-            close.assert_not_called()
-            with client:
-                pass
-            close.assert_called()
-
-@pytest.mark.parametrize("client_class,transport_class", [
-    (DataplexServiceClient, transports.DataplexServiceGrpcTransport),
-    (DataplexServiceAsyncClient, transports.DataplexServiceGrpcAsyncIOTransport),
-])
-def test_api_key_credentials(client_class, transport_class):
-    with mock.patch.object(
-        google.auth._default, "get_api_key_credentials", create=True
-    ) as get_api_key_credentials:
-        mock_cred = mock.Mock()
-        get_api_key_credentials.return_value = mock_cred
-        options = client_options.ClientOptions()
-        options.api_key = "api_key"
-        with mock.patch.object(transport_class, "__init__") as patched:
-            patched.return_value = None
-            client = client_class(client_options=options)
-            patched.assert_called_once_with(
-                credentials=mock_cred,
-                credentials_file=None,
-                host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
-                scopes=None,
-                client_cert_source_for_mtls=None,
-                quota_project_id=None,
-                client_info=transports.base.DEFAULT_CLIENT_INFO,
-                always_use_jwt_access=True,
-                api_audience=None,
-            )
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/tests/unit/gapic/dataplex_v1/test_metadata_service.py b/owl-bot-staging/google-cloud-dataplex/v1/tests/unit/gapic/dataplex_v1/test_metadata_service.py
deleted file mode 100644
index a5293c1b348a..000000000000
--- a/owl-bot-staging/google-cloud-dataplex/v1/tests/unit/gapic/dataplex_v1/test_metadata_service.py
+++ /dev/null
@@ -1,5952 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2024 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-import os
-# try/except added for compatibility with python < 3.8
-try:
-    from unittest import mock
-    from unittest.mock import AsyncMock  # pragma: NO COVER
-except ImportError:  # pragma: NO COVER
-    import mock
-
-import grpc
-from grpc.experimental import aio
-import math
-import pytest
-from google.api_core import api_core_version
-from proto.marshal.rules.dates import DurationRule, TimestampRule
-from proto.marshal.rules import wrappers
-
-try:
-    from google.auth.aio import credentials as ga_credentials_async
-    HAS_GOOGLE_AUTH_AIO = True
-except ImportError: # pragma: NO COVER
-    HAS_GOOGLE_AUTH_AIO = False
-
-from google.api_core import client_options
-from google.api_core import exceptions as core_exceptions
-from google.api_core import gapic_v1
-from google.api_core import grpc_helpers
-from google.api_core import grpc_helpers_async
-from google.api_core import path_template
-from google.api_core import retry as retries
-from google.auth import credentials as ga_credentials
-from google.auth.exceptions import MutualTLSChannelError
-from google.cloud.dataplex_v1.services.metadata_service import MetadataServiceAsyncClient
-from google.cloud.dataplex_v1.services.metadata_service import MetadataServiceClient
-from google.cloud.dataplex_v1.services.metadata_service import pagers
-from google.cloud.dataplex_v1.services.metadata_service import transports
-from google.cloud.dataplex_v1.types import metadata_
-from google.cloud.location import locations_pb2
-from google.iam.v1 import iam_policy_pb2  # type: ignore
-from google.iam.v1 import options_pb2  # type: ignore
-from google.iam.v1 import policy_pb2  # type: ignore
-from google.longrunning import operations_pb2 # type: ignore
-from google.oauth2 import service_account
-from google.protobuf import timestamp_pb2  # type: ignore
-import google.auth
-
-
-async def mock_async_gen(data, chunk_size=1):
-    for i in range(0, len(data)):  # pragma: NO COVER
-        chunk = data[i : i + chunk_size]
-        yield chunk.encode("utf-8")
-
-def client_cert_source_callback():
-    return b"cert bytes", b"key bytes"
-
-# TODO: use async auth anon credentials by default once the minimum version of google-auth is upgraded.
-# See related issue: https://github.com/googleapis/gapic-generator-python/issues/2107.
-def async_anonymous_credentials():
-    if HAS_GOOGLE_AUTH_AIO:
-        return ga_credentials_async.AnonymousCredentials()
-    return ga_credentials.AnonymousCredentials()
-
-# If default endpoint is localhost, then default mtls endpoint will be the same.
-# This method modifies the default endpoint so the client can produce a different
-# mtls endpoint for endpoint testing purposes.
-def modify_default_endpoint(client):
-    return "foo.googleapis.com" if ("localhost" in client.DEFAULT_ENDPOINT) else client.DEFAULT_ENDPOINT
-
-# If default endpoint template is localhost, then default mtls endpoint will be the same.
-# This method modifies the default endpoint template so the client can produce a different
-# mtls endpoint for endpoint testing purposes.
-def modify_default_endpoint_template(client):
-    return "test.{UNIVERSE_DOMAIN}" if ("localhost" in client._DEFAULT_ENDPOINT_TEMPLATE) else client._DEFAULT_ENDPOINT_TEMPLATE
-
-
-def test__get_default_mtls_endpoint():
-    api_endpoint = "example.googleapis.com"
-    api_mtls_endpoint = "example.mtls.googleapis.com"
-    sandbox_endpoint = "example.sandbox.googleapis.com"
-    sandbox_mtls_endpoint = "example.mtls.sandbox.googleapis.com"
-    non_googleapi = "api.example.com"
-
-    assert MetadataServiceClient._get_default_mtls_endpoint(None) is None
-    assert MetadataServiceClient._get_default_mtls_endpoint(api_endpoint) == api_mtls_endpoint
-    assert MetadataServiceClient._get_default_mtls_endpoint(api_mtls_endpoint) == api_mtls_endpoint
-    assert MetadataServiceClient._get_default_mtls_endpoint(sandbox_endpoint) == sandbox_mtls_endpoint
-    assert MetadataServiceClient._get_default_mtls_endpoint(sandbox_mtls_endpoint) == sandbox_mtls_endpoint
-    assert MetadataServiceClient._get_default_mtls_endpoint(non_googleapi) == non_googleapi
-
-def test__read_environment_variables():
-    assert MetadataServiceClient._read_environment_variables() == (False, "auto", None)
-
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
-        assert MetadataServiceClient._read_environment_variables() == (True, "auto", None)
-
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "false"}):
-        assert MetadataServiceClient._read_environment_variables() == (False, "auto", None)
-
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}):
-        with pytest.raises(ValueError) as excinfo:
-            MetadataServiceClient._read_environment_variables()
-    assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`"
-
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
-        assert MetadataServiceClient._read_environment_variables() == (False, "never", None)
-
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
-        assert MetadataServiceClient._read_environment_variables() == (False, "always", None)
-
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "auto"}):
-        assert MetadataServiceClient._read_environment_variables() == (False, "auto", None)
-
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}):
-        with pytest.raises(MutualTLSChannelError) as excinfo:
-            MetadataServiceClient._read_environment_variables()
-    assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`"
-
-    with mock.patch.dict(os.environ, {"GOOGLE_CLOUD_UNIVERSE_DOMAIN": "foo.com"}):
-        assert MetadataServiceClient._read_environment_variables() == (False, "auto", "foo.com")
-
-def test__get_client_cert_source():
-    mock_provided_cert_source = mock.Mock()
-    mock_default_cert_source = mock.Mock()
-
-    assert MetadataServiceClient._get_client_cert_source(None, False) is None
-    assert MetadataServiceClient._get_client_cert_source(mock_provided_cert_source, False) is None
-    assert MetadataServiceClient._get_client_cert_source(mock_provided_cert_source, True) == mock_provided_cert_source
-
-    with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True):
-        with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=mock_default_cert_source):
-            assert MetadataServiceClient._get_client_cert_source(None, True) is mock_default_cert_source
-            assert MetadataServiceClient._get_client_cert_source(mock_provided_cert_source, "true") is mock_provided_cert_source
-
-@mock.patch.object(MetadataServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(MetadataServiceClient))
-@mock.patch.object(MetadataServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(MetadataServiceAsyncClient))
-def test__get_api_endpoint():
-    api_override = "foo.com"
-    mock_client_cert_source = mock.Mock()
-    default_universe = MetadataServiceClient._DEFAULT_UNIVERSE
-    default_endpoint = MetadataServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=default_universe)
-    mock_universe = "bar.com"
-    mock_endpoint = MetadataServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=mock_universe)
-
-    assert MetadataServiceClient._get_api_endpoint(api_override, mock_client_cert_source, default_universe, "always") == api_override
-    assert MetadataServiceClient._get_api_endpoint(None, mock_client_cert_source, default_universe, "auto") == MetadataServiceClient.DEFAULT_MTLS_ENDPOINT
-    assert MetadataServiceClient._get_api_endpoint(None, None, default_universe, "auto") == default_endpoint
-    assert MetadataServiceClient._get_api_endpoint(None, None, default_universe, "always") == MetadataServiceClient.DEFAULT_MTLS_ENDPOINT
-    assert MetadataServiceClient._get_api_endpoint(None, mock_client_cert_source, default_universe, "always") == MetadataServiceClient.DEFAULT_MTLS_ENDPOINT
-    assert MetadataServiceClient._get_api_endpoint(None, None, mock_universe, "never") == mock_endpoint
-    assert MetadataServiceClient._get_api_endpoint(None, None, default_universe, "never") == default_endpoint
-
-    with pytest.raises(MutualTLSChannelError) as excinfo:
-        MetadataServiceClient._get_api_endpoint(None, mock_client_cert_source, mock_universe, "auto")
-    assert str(excinfo.value) == "mTLS is not supported in any universe other than googleapis.com."
-
-
-def test__get_universe_domain():
-    client_universe_domain = "foo.com"
-    universe_domain_env = "bar.com"
-
-    assert MetadataServiceClient._get_universe_domain(client_universe_domain, universe_domain_env) == client_universe_domain
-    assert MetadataServiceClient._get_universe_domain(None, universe_domain_env) == universe_domain_env
-    assert MetadataServiceClient._get_universe_domain(None, None) == MetadataServiceClient._DEFAULT_UNIVERSE
-
-    with pytest.raises(ValueError) as excinfo:
-        MetadataServiceClient._get_universe_domain("", None)
-    assert str(excinfo.value) == "Universe Domain cannot be an empty string."
-
-
-@pytest.mark.parametrize("client_class,transport_name", [
-    (MetadataServiceClient, "grpc"),
-    (MetadataServiceAsyncClient, "grpc_asyncio"),
-])
-def test_metadata_service_client_from_service_account_info(client_class, transport_name):
-    creds = ga_credentials.AnonymousCredentials()
-    with mock.patch.object(service_account.Credentials, 'from_service_account_info') as factory:
-        factory.return_value = creds
-        info = {"valid": True}
-        client = client_class.from_service_account_info(info, transport=transport_name)
-        assert client.transport._credentials == creds
-        assert isinstance(client, client_class)
-
-        assert client.transport._host == (
-            'dataplex.googleapis.com:443'
-        )
-
-
-@pytest.mark.parametrize("transport_class,transport_name", [
-    (transports.MetadataServiceGrpcTransport, "grpc"),
-    (transports.MetadataServiceGrpcAsyncIOTransport, "grpc_asyncio"),
-])
-def test_metadata_service_client_service_account_always_use_jwt(transport_class, transport_name):
-    with mock.patch.object(service_account.Credentials, 'with_always_use_jwt_access', create=True) as use_jwt:
-        creds = service_account.Credentials(None, None, None)
-        transport = transport_class(credentials=creds, always_use_jwt_access=True)
-        use_jwt.assert_called_once_with(True)
-
-    with mock.patch.object(service_account.Credentials, 'with_always_use_jwt_access', create=True) as use_jwt:
-        creds = service_account.Credentials(None, None, None)
-        transport = transport_class(credentials=creds, always_use_jwt_access=False)
-        use_jwt.assert_not_called()
-
-
-@pytest.mark.parametrize("client_class,transport_name", [
-    (MetadataServiceClient, "grpc"),
-    (MetadataServiceAsyncClient, "grpc_asyncio"),
-])
-def test_metadata_service_client_from_service_account_file(client_class, transport_name):
-    creds = ga_credentials.AnonymousCredentials()
-    with mock.patch.object(service_account.Credentials, 'from_service_account_file') as factory:
-        factory.return_value = creds
-        client = client_class.from_service_account_file("dummy/file/path.json", transport=transport_name)
-        assert client.transport._credentials == creds
-        assert isinstance(client, client_class)
-
-        client = client_class.from_service_account_json("dummy/file/path.json", transport=transport_name)
-        assert client.transport._credentials == creds
-        assert isinstance(client, client_class)
-
-        assert client.transport._host == (
-            'dataplex.googleapis.com:443'
-        )
-
-
-def test_metadata_service_client_get_transport_class():
-    transport = MetadataServiceClient.get_transport_class()
-    available_transports = [
-        transports.MetadataServiceGrpcTransport,
-    ]
-    assert transport in available_transports
-
-    transport = MetadataServiceClient.get_transport_class("grpc")
-    assert transport == transports.MetadataServiceGrpcTransport
-
-
-@pytest.mark.parametrize("client_class,transport_class,transport_name", [
-    (MetadataServiceClient, transports.MetadataServiceGrpcTransport, "grpc"),
-    (MetadataServiceAsyncClient, transports.MetadataServiceGrpcAsyncIOTransport, "grpc_asyncio"),
-])
-@mock.patch.object(MetadataServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(MetadataServiceClient))
-@mock.patch.object(MetadataServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(MetadataServiceAsyncClient))
-def test_metadata_service_client_client_options(client_class, transport_class, transport_name):
-    # Check that if channel is provided we won't create a new one.
-    with mock.patch.object(MetadataServiceClient, 'get_transport_class') as gtc:
-        transport = transport_class(
-            credentials=ga_credentials.AnonymousCredentials()
-        )
-        client = client_class(transport=transport)
-        gtc.assert_not_called()
-
-    # Check that if channel is provided via str we will create a new one.
-    with mock.patch.object(MetadataServiceClient, 'get_transport_class') as gtc:
-        client = client_class(transport=transport_name)
-        gtc.assert_called()
-
-    # Check the case api_endpoint is provided.
-    options = client_options.ClientOptions(api_endpoint="squid.clam.whelk")
-    with mock.patch.object(transport_class, '__init__') as patched:
-        patched.return_value = None
-        client = client_class(transport=transport_name, client_options=options)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file=None,
-            host="squid.clam.whelk",
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-
-    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is
-    # "never".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
-        with mock.patch.object(transport_class, '__init__') as patched:
-            patched.return_value = None
-            client = client_class(transport=transport_name)
-            patched.assert_called_once_with(
-                credentials=None,
-                credentials_file=None,
-                host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
-                scopes=None,
-                client_cert_source_for_mtls=None,
-                quota_project_id=None,
-                client_info=transports.base.DEFAULT_CLIENT_INFO,
-                always_use_jwt_access=True,
-                api_audience=None,
-            )
-
-    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is
-    # "always".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
-        with mock.patch.object(transport_class, '__init__') as patched:
-            patched.return_value = None
-            client = client_class(transport=transport_name)
-            patched.assert_called_once_with(
-                credentials=None,
-                credentials_file=None,
-                host=client.DEFAULT_MTLS_ENDPOINT,
-                scopes=None,
-                client_cert_source_for_mtls=None,
-                quota_project_id=None,
-                client_info=transports.base.DEFAULT_CLIENT_INFO,
-                always_use_jwt_access=True,
-                api_audience=None,
-            )
-
-    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT has
-    # unsupported value.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}):
-        with pytest.raises(MutualTLSChannelError) as excinfo:
-            client = client_class(transport=transport_name)
-    assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`"
-
-    # Check the case GOOGLE_API_USE_CLIENT_CERTIFICATE has unsupported value.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}):
-        with pytest.raises(ValueError) as excinfo:
-            client = client_class(transport=transport_name)
-    assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`"
-
-    # Check the case quota_project_id is provided
-    options = client_options.ClientOptions(quota_project_id="octopus")
-    with mock.patch.object(transport_class, '__init__') as patched:
-        patched.return_value = None
-        client = client_class(client_options=options, transport=transport_name)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file=None,
-            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id="octopus",
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-    # Check the case api_endpoint is provided
-    options = client_options.ClientOptions(api_audience="https://language.googleapis.com")
-    with mock.patch.object(transport_class, '__init__') as patched:
-        patched.return_value = None
-        client = client_class(client_options=options, transport=transport_name)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file=None,
-            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience="https://language.googleapis.com"
-        )
-
-@pytest.mark.parametrize("client_class,transport_class,transport_name,use_client_cert_env", [
-    (MetadataServiceClient, transports.MetadataServiceGrpcTransport, "grpc", "true"),
-    (MetadataServiceAsyncClient, transports.MetadataServiceGrpcAsyncIOTransport, "grpc_asyncio", "true"),
-    (MetadataServiceClient, transports.MetadataServiceGrpcTransport, "grpc", "false"),
-    (MetadataServiceAsyncClient, transports.MetadataServiceGrpcAsyncIOTransport, "grpc_asyncio", "false"),
-])
-@mock.patch.object(MetadataServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(MetadataServiceClient))
-@mock.patch.object(MetadataServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(MetadataServiceAsyncClient))
-@mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "auto"})
-def test_metadata_service_client_mtls_env_auto(client_class, transport_class, transport_name, use_client_cert_env):
-    # This tests the endpoint autoswitch behavior. Endpoint is autoswitched to the default
-    # mtls endpoint, if GOOGLE_API_USE_CLIENT_CERTIFICATE is "true" and client cert exists.
-
-    # Check the case client_cert_source is provided. Whether client cert is used depends on
-    # GOOGLE_API_USE_CLIENT_CERTIFICATE value.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}):
-        options = client_options.ClientOptions(client_cert_source=client_cert_source_callback)
-        with mock.patch.object(transport_class, '__init__') as patched:
-            patched.return_value = None
-            client = client_class(client_options=options, transport=transport_name)
-
-            if use_client_cert_env == "false":
-                expected_client_cert_source = None
-                expected_host = client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE)
-            else:
-                expected_client_cert_source = client_cert_source_callback
-                expected_host = client.DEFAULT_MTLS_ENDPOINT
-
-            patched.assert_called_once_with(
-                credentials=None,
-                credentials_file=None,
-                host=expected_host,
-                scopes=None,
-                client_cert_source_for_mtls=expected_client_cert_source,
-                quota_project_id=None,
-                client_info=transports.base.DEFAULT_CLIENT_INFO,
-                always_use_jwt_access=True,
-                api_audience=None,
-            )
-
-    # Check the case ADC client cert is provided. Whether client cert is used depends on
-    # GOOGLE_API_USE_CLIENT_CERTIFICATE value.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}):
-        with mock.patch.object(transport_class, '__init__') as patched:
-            with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True):
-                with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=client_cert_source_callback):
-                    if use_client_cert_env == "false":
-                        expected_host = client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE)
-                        expected_client_cert_source = None
-                    else:
-                        expected_host = client.DEFAULT_MTLS_ENDPOINT
-                        expected_client_cert_source = client_cert_source_callback
-
-                    patched.return_value = None
-                    client = client_class(transport=transport_name)
-                    patched.assert_called_once_with(
-                        credentials=None,
-                        credentials_file=None,
-                        host=expected_host,
-                        scopes=None,
-                        client_cert_source_for_mtls=expected_client_cert_source,
-                        quota_project_id=None,
-                        client_info=transports.base.DEFAULT_CLIENT_INFO,
-                        always_use_jwt_access=True,
-                        api_audience=None,
-                    )
-
-    # Check the case client_cert_source and ADC client cert are not provided.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}):
-        with mock.patch.object(transport_class, '__init__') as patched:
-            with mock.patch("google.auth.transport.mtls.has_default_client_cert_source", return_value=False):
-                patched.return_value = None
-                client = client_class(transport=transport_name)
-                patched.assert_called_once_with(
-                    credentials=None,
-                    credentials_file=None,
-                    host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
-                    scopes=None,
-                    client_cert_source_for_mtls=None,
-                    quota_project_id=None,
-                    client_info=transports.base.DEFAULT_CLIENT_INFO,
-                    always_use_jwt_access=True,
-                    api_audience=None,
-                )
-
-
-@pytest.mark.parametrize("client_class", [
-    MetadataServiceClient, MetadataServiceAsyncClient
-])
-@mock.patch.object(MetadataServiceClient, "DEFAULT_ENDPOINT", modify_default_endpoint(MetadataServiceClient))
-@mock.patch.object(MetadataServiceAsyncClient, "DEFAULT_ENDPOINT", modify_default_endpoint(MetadataServiceAsyncClient))
-def test_metadata_service_client_get_mtls_endpoint_and_cert_source(client_class):
-    mock_client_cert_source = mock.Mock()
-
-    # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "true".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
-        mock_api_endpoint = "foo"
-        options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint)
-        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(options)
-        assert api_endpoint == mock_api_endpoint
-        assert cert_source == mock_client_cert_source
-
-    # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "false".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "false"}):
-        mock_client_cert_source = mock.Mock()
-        mock_api_endpoint = "foo"
-        options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint)
-        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(options)
-        assert api_endpoint == mock_api_endpoint
-        assert cert_source is None
-
-    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "never".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
-        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
-        assert api_endpoint == client_class.DEFAULT_ENDPOINT
-        assert cert_source is None
-
-    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "always".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
-        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
-        assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT
-        assert cert_source is None
-
-    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert doesn't exist.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
-        with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=False):
-            api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
-            assert api_endpoint == client_class.DEFAULT_ENDPOINT
-            assert cert_source is None
-
-    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert exists.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
-        with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True):
-            with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=mock_client_cert_source):
-                api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
-                assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT
-                assert cert_source == mock_client_cert_source
-
-    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT has
-    # unsupported value.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}):
-        with pytest.raises(MutualTLSChannelError) as excinfo:
-            client_class.get_mtls_endpoint_and_cert_source()
-
-        assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`"
-
-    # Check the case GOOGLE_API_USE_CLIENT_CERTIFICATE has unsupported value.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}):
-        with pytest.raises(ValueError) as excinfo:
-            client_class.get_mtls_endpoint_and_cert_source()
-
-        assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`"
-
-@pytest.mark.parametrize("client_class", [
-    MetadataServiceClient, MetadataServiceAsyncClient
-])
-@mock.patch.object(MetadataServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(MetadataServiceClient))
-@mock.patch.object(MetadataServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(MetadataServiceAsyncClient))
-def test_metadata_service_client_client_api_endpoint(client_class):
-    mock_client_cert_source = client_cert_source_callback
-    api_override = "foo.com"
-    default_universe = MetadataServiceClient._DEFAULT_UNIVERSE
-    default_endpoint = MetadataServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=default_universe)
-    mock_universe = "bar.com"
-    mock_endpoint = MetadataServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=mock_universe)
-
-    # If ClientOptions.api_endpoint is set and GOOGLE_API_USE_CLIENT_CERTIFICATE="true",
-    # use ClientOptions.api_endpoint as the api endpoint regardless.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
-        with mock.patch("google.auth.transport.requests.AuthorizedSession.configure_mtls_channel"):
-            options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=api_override)
-            client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials())
-            assert client.api_endpoint == api_override
-
-    # If ClientOptions.api_endpoint is not set and GOOGLE_API_USE_MTLS_ENDPOINT="never",
-    # use the _DEFAULT_ENDPOINT_TEMPLATE populated with GDU as the api endpoint.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
-        client = client_class(credentials=ga_credentials.AnonymousCredentials())
-        assert client.api_endpoint == default_endpoint
-
-    # If ClientOptions.api_endpoint is not set and GOOGLE_API_USE_MTLS_ENDPOINT="always",
-    # use the DEFAULT_MTLS_ENDPOINT as the api endpoint.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
-        client = client_class(credentials=ga_credentials.AnonymousCredentials())
-        assert client.api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT
-
-    # If ClientOptions.api_endpoint is not set, GOOGLE_API_USE_MTLS_ENDPOINT="auto" (default),
-    # GOOGLE_API_USE_CLIENT_CERTIFICATE="false" (default), default cert source doesn't exist,
-    # and ClientOptions.universe_domain="bar.com",
-    # use the _DEFAULT_ENDPOINT_TEMPLATE populated with universe domain as the api endpoint.
-    options = client_options.ClientOptions()
-    universe_exists = hasattr(options, "universe_domain")
-    if universe_exists:
-        options = client_options.ClientOptions(universe_domain=mock_universe)
-        client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials())
-    else:
-        client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials())
-    assert client.api_endpoint == (mock_endpoint if universe_exists else default_endpoint)
-    assert client.universe_domain == (mock_universe if universe_exists else default_universe)
-
-    # If ClientOptions does not have a universe domain attribute and GOOGLE_API_USE_MTLS_ENDPOINT="never",
-    # use the _DEFAULT_ENDPOINT_TEMPLATE populated with GDU as the api endpoint.
-    options = client_options.ClientOptions()
-    if hasattr(options, "universe_domain"):
-        delattr(options, "universe_domain")
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
-        client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials())
-        assert client.api_endpoint == default_endpoint
-
-
-@pytest.mark.parametrize("client_class,transport_class,transport_name", [
-    (MetadataServiceClient, transports.MetadataServiceGrpcTransport, "grpc"),
-    (MetadataServiceAsyncClient, transports.MetadataServiceGrpcAsyncIOTransport, "grpc_asyncio"),
-])
-def test_metadata_service_client_client_options_scopes(client_class, transport_class, transport_name):
-    # Check the case scopes are provided.
-    options = client_options.ClientOptions(
-        scopes=["1", "2"],
-    )
-    with mock.patch.object(transport_class, '__init__') as patched:
-        patched.return_value = None
-        client = client_class(client_options=options, transport=transport_name)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file=None,
-            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
-            scopes=["1", "2"],
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-
-@pytest.mark.parametrize("client_class,transport_class,transport_name,grpc_helpers", [
-    (MetadataServiceClient, transports.MetadataServiceGrpcTransport, "grpc", grpc_helpers),
-    (MetadataServiceAsyncClient, transports.MetadataServiceGrpcAsyncIOTransport, "grpc_asyncio", grpc_helpers_async),
-])
-def test_metadata_service_client_client_options_credentials_file(client_class, transport_class, transport_name, grpc_helpers):
-    # Check the case credentials file is provided.
-    options = client_options.ClientOptions(
-        credentials_file="credentials.json"
-    )
-
-    with mock.patch.object(transport_class, '__init__') as patched:
-        patched.return_value = None
-        client = client_class(client_options=options, transport=transport_name)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file="credentials.json",
-            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-
-def test_metadata_service_client_client_options_from_dict():
-    with mock.patch('google.cloud.dataplex_v1.services.metadata_service.transports.MetadataServiceGrpcTransport.__init__') as grpc_transport:
-        grpc_transport.return_value = None
-        client = MetadataServiceClient(
-            client_options={'api_endpoint': 'squid.clam.whelk'}
-        )
-        grpc_transport.assert_called_once_with(
-            credentials=None,
-            credentials_file=None,
-            host="squid.clam.whelk",
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-
-
-@pytest.mark.parametrize("client_class,transport_class,transport_name,grpc_helpers", [
-    (MetadataServiceClient, transports.MetadataServiceGrpcTransport, "grpc", grpc_helpers),
-    (MetadataServiceAsyncClient, transports.MetadataServiceGrpcAsyncIOTransport, "grpc_asyncio", grpc_helpers_async),
-])
-def test_metadata_service_client_create_channel_credentials_file(client_class, transport_class, transport_name, grpc_helpers):
-    # Check the case credentials file is provided.
-    options = client_options.ClientOptions(
-        credentials_file="credentials.json"
-    )
-
-    with mock.patch.object(transport_class, '__init__') as patched:
-        patched.return_value = None
-        client = client_class(client_options=options, transport=transport_name)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file="credentials.json",
-            host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-
-    # test that the credentials from file are saved and used as the credentials.
-    with mock.patch.object(
-        google.auth, "load_credentials_from_file", autospec=True
-    ) as load_creds, mock.patch.object(
-        google.auth, "default", autospec=True
-    ) as adc, mock.patch.object(
-        grpc_helpers, "create_channel"
-    ) as create_channel:
-        creds = ga_credentials.AnonymousCredentials()
-        file_creds = ga_credentials.AnonymousCredentials()
-        load_creds.return_value = (file_creds, None)
-        adc.return_value = (creds, None)
-        client = client_class(client_options=options, transport=transport_name)
-        create_channel.assert_called_with(
-            "dataplex.googleapis.com:443",
-            credentials=file_creds,
-            credentials_file=None,
-            quota_project_id=None,
-            default_scopes=(
-                'https://www.googleapis.com/auth/cloud-platform',
-),
-            scopes=None,
-            default_host="dataplex.googleapis.com",
-            ssl_credentials=None,
-            options=[
-                ("grpc.max_send_message_length", -1),
-                ("grpc.max_receive_message_length", -1),
-            ],
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  metadata_.CreateEntityRequest,
-  dict,
-])
-def test_create_entity(request_type, transport: str = 'grpc'):
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_entity),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = metadata_.Entity(
-            name='name_value',
-            display_name='display_name_value',
-            description='description_value',
-            id='id_value',
-            etag='etag_value',
-            type_=metadata_.Entity.Type.TABLE,
-            asset='asset_value',
-            data_path='data_path_value',
-            data_path_pattern='data_path_pattern_value',
-            catalog_entry='catalog_entry_value',
-            system=metadata_.StorageSystem.CLOUD_STORAGE,
-            uid='uid_value',
-        )
-        response = client.create_entity(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = metadata_.CreateEntityRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, metadata_.Entity)
-    assert response.name == 'name_value'
-    assert response.display_name == 'display_name_value'
-    assert response.description == 'description_value'
-    assert response.id == 'id_value'
-    assert response.etag == 'etag_value'
-    assert response.type_ == metadata_.Entity.Type.TABLE
-    assert response.asset == 'asset_value'
-    assert response.data_path == 'data_path_value'
-    assert response.data_path_pattern == 'data_path_pattern_value'
-    assert response.catalog_entry == 'catalog_entry_value'
-    assert response.system == metadata_.StorageSystem.CLOUD_STORAGE
-    assert response.uid == 'uid_value'
-
-
-def test_create_entity_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = metadata_.CreateEntityRequest(
-        parent='parent_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_entity),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.create_entity(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == metadata_.CreateEntityRequest(
-            parent='parent_value',
-        )
-
-def test_create_entity_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = MetadataServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.create_entity in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.create_entity] = mock_rpc
-        request = {}
-        client.create_entity(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.create_entity(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_create_entity_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = MetadataServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.create_entity in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.create_entity] = mock_rpc
-
-        request = {}
-        await client.create_entity(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.create_entity(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_create_entity_async(transport: str = 'grpc_asyncio', request_type=metadata_.CreateEntityRequest):
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_entity),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(metadata_.Entity(
-            name='name_value',
-            display_name='display_name_value',
-            description='description_value',
-            id='id_value',
-            etag='etag_value',
-            type_=metadata_.Entity.Type.TABLE,
-            asset='asset_value',
-            data_path='data_path_value',
-            data_path_pattern='data_path_pattern_value',
-            catalog_entry='catalog_entry_value',
-            system=metadata_.StorageSystem.CLOUD_STORAGE,
-            uid='uid_value',
-        ))
-        response = await client.create_entity(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = metadata_.CreateEntityRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, metadata_.Entity)
-    assert response.name == 'name_value'
-    assert response.display_name == 'display_name_value'
-    assert response.description == 'description_value'
-    assert response.id == 'id_value'
-    assert response.etag == 'etag_value'
-    assert response.type_ == metadata_.Entity.Type.TABLE
-    assert response.asset == 'asset_value'
-    assert response.data_path == 'data_path_value'
-    assert response.data_path_pattern == 'data_path_pattern_value'
-    assert response.catalog_entry == 'catalog_entry_value'
-    assert response.system == metadata_.StorageSystem.CLOUD_STORAGE
-    assert response.uid == 'uid_value'
-
-
-@pytest.mark.asyncio
-async def test_create_entity_async_from_dict():
-    await test_create_entity_async(request_type=dict)
-
-def test_create_entity_field_headers():
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = metadata_.CreateEntityRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_entity),
-            '__call__') as call:
-        call.return_value = metadata_.Entity()
-        client.create_entity(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_create_entity_field_headers_async():
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = metadata_.CreateEntityRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_entity),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(metadata_.Entity())
-        await client.create_entity(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-def test_create_entity_flattened():
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_entity),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = metadata_.Entity()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.create_entity(
-            parent='parent_value',
-            entity=metadata_.Entity(name='name_value'),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-        arg = args[0].entity
-        mock_val = metadata_.Entity(name='name_value')
-        assert arg == mock_val
-
-
-def test_create_entity_flattened_error():
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.create_entity(
-            metadata_.CreateEntityRequest(),
-            parent='parent_value',
-            entity=metadata_.Entity(name='name_value'),
-        )
-
-@pytest.mark.asyncio
-async def test_create_entity_flattened_async():
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_entity),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = metadata_.Entity()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(metadata_.Entity())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.create_entity(
-            parent='parent_value',
-            entity=metadata_.Entity(name='name_value'),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-        arg = args[0].entity
-        mock_val = metadata_.Entity(name='name_value')
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_create_entity_flattened_error_async():
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.create_entity(
-            metadata_.CreateEntityRequest(),
-            parent='parent_value',
-            entity=metadata_.Entity(name='name_value'),
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  metadata_.UpdateEntityRequest,
-  dict,
-])
-def test_update_entity(request_type, transport: str = 'grpc'):
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_entity),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = metadata_.Entity(
-            name='name_value',
-            display_name='display_name_value',
-            description='description_value',
-            id='id_value',
-            etag='etag_value',
-            type_=metadata_.Entity.Type.TABLE,
-            asset='asset_value',
-            data_path='data_path_value',
-            data_path_pattern='data_path_pattern_value',
-            catalog_entry='catalog_entry_value',
-            system=metadata_.StorageSystem.CLOUD_STORAGE,
-            uid='uid_value',
-        )
-        response = client.update_entity(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = metadata_.UpdateEntityRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, metadata_.Entity)
-    assert response.name == 'name_value'
-    assert response.display_name == 'display_name_value'
-    assert response.description == 'description_value'
-    assert response.id == 'id_value'
-    assert response.etag == 'etag_value'
-    assert response.type_ == metadata_.Entity.Type.TABLE
-    assert response.asset == 'asset_value'
-    assert response.data_path == 'data_path_value'
-    assert response.data_path_pattern == 'data_path_pattern_value'
-    assert response.catalog_entry == 'catalog_entry_value'
-    assert response.system == metadata_.StorageSystem.CLOUD_STORAGE
-    assert response.uid == 'uid_value'
-
-
-def test_update_entity_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = metadata_.UpdateEntityRequest(
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_entity),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.update_entity(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == metadata_.UpdateEntityRequest(
-        )
-
-def test_update_entity_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = MetadataServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.update_entity in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.update_entity] = mock_rpc
-        request = {}
-        client.update_entity(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.update_entity(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_update_entity_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = MetadataServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.update_entity in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.update_entity] = mock_rpc
-
-        request = {}
-        await client.update_entity(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.update_entity(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_update_entity_async(transport: str = 'grpc_asyncio', request_type=metadata_.UpdateEntityRequest):
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_entity),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(metadata_.Entity(
-            name='name_value',
-            display_name='display_name_value',
-            description='description_value',
-            id='id_value',
-            etag='etag_value',
-            type_=metadata_.Entity.Type.TABLE,
-            asset='asset_value',
-            data_path='data_path_value',
-            data_path_pattern='data_path_pattern_value',
-            catalog_entry='catalog_entry_value',
-            system=metadata_.StorageSystem.CLOUD_STORAGE,
-            uid='uid_value',
-        ))
-        response = await client.update_entity(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = metadata_.UpdateEntityRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, metadata_.Entity)
-    assert response.name == 'name_value'
-    assert response.display_name == 'display_name_value'
-    assert response.description == 'description_value'
-    assert response.id == 'id_value'
-    assert response.etag == 'etag_value'
-    assert response.type_ == metadata_.Entity.Type.TABLE
-    assert response.asset == 'asset_value'
-    assert response.data_path == 'data_path_value'
-    assert response.data_path_pattern == 'data_path_pattern_value'
-    assert response.catalog_entry == 'catalog_entry_value'
-    assert response.system == metadata_.StorageSystem.CLOUD_STORAGE
-    assert response.uid == 'uid_value'
-
-
-@pytest.mark.asyncio
-async def test_update_entity_async_from_dict():
-    await test_update_entity_async(request_type=dict)
-
-def test_update_entity_field_headers():
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = metadata_.UpdateEntityRequest()
-
-    request.entity.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_entity),
-            '__call__') as call:
-        call.return_value = metadata_.Entity()
-        client.update_entity(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'entity.name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_update_entity_field_headers_async():
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = metadata_.UpdateEntityRequest()
-
-    request.entity.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_entity),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(metadata_.Entity())
-        await client.update_entity(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'entity.name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.parametrize("request_type", [
-  metadata_.DeleteEntityRequest,
-  dict,
-])
-def test_delete_entity(request_type, transport: str = 'grpc'):
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_entity),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = None
-        response = client.delete_entity(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = metadata_.DeleteEntityRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert response is None
-
-
-def test_delete_entity_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = metadata_.DeleteEntityRequest(
-        name='name_value',
-        etag='etag_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_entity),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.delete_entity(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == metadata_.DeleteEntityRequest(
-            name='name_value',
-            etag='etag_value',
-        )
-
-def test_delete_entity_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = MetadataServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.delete_entity in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.delete_entity] = mock_rpc
-        request = {}
-        client.delete_entity(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.delete_entity(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_delete_entity_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = MetadataServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.delete_entity in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.delete_entity] = mock_rpc
-
-        request = {}
-        await client.delete_entity(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.delete_entity(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_delete_entity_async(transport: str = 'grpc_asyncio', request_type=metadata_.DeleteEntityRequest):
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_entity),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
-        response = await client.delete_entity(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = metadata_.DeleteEntityRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert response is None
-
-
-@pytest.mark.asyncio
-async def test_delete_entity_async_from_dict():
-    await test_delete_entity_async(request_type=dict)
-
-def test_delete_entity_field_headers():
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = metadata_.DeleteEntityRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_entity),
-            '__call__') as call:
-        call.return_value = None
-        client.delete_entity(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_delete_entity_field_headers_async():
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = metadata_.DeleteEntityRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_entity),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
-        await client.delete_entity(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-def test_delete_entity_flattened():
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_entity),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = None
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.delete_entity(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-
-def test_delete_entity_flattened_error():
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.delete_entity(
-            metadata_.DeleteEntityRequest(),
-            name='name_value',
-        )
-
-@pytest.mark.asyncio
-async def test_delete_entity_flattened_async():
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_entity),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = None
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.delete_entity(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_delete_entity_flattened_error_async():
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.delete_entity(
-            metadata_.DeleteEntityRequest(),
-            name='name_value',
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  metadata_.GetEntityRequest,
-  dict,
-])
-def test_get_entity(request_type, transport: str = 'grpc'):
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_entity),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = metadata_.Entity(
-            name='name_value',
-            display_name='display_name_value',
-            description='description_value',
-            id='id_value',
-            etag='etag_value',
-            type_=metadata_.Entity.Type.TABLE,
-            asset='asset_value',
-            data_path='data_path_value',
-            data_path_pattern='data_path_pattern_value',
-            catalog_entry='catalog_entry_value',
-            system=metadata_.StorageSystem.CLOUD_STORAGE,
-            uid='uid_value',
-        )
-        response = client.get_entity(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = metadata_.GetEntityRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, metadata_.Entity)
-    assert response.name == 'name_value'
-    assert response.display_name == 'display_name_value'
-    assert response.description == 'description_value'
-    assert response.id == 'id_value'
-    assert response.etag == 'etag_value'
-    assert response.type_ == metadata_.Entity.Type.TABLE
-    assert response.asset == 'asset_value'
-    assert response.data_path == 'data_path_value'
-    assert response.data_path_pattern == 'data_path_pattern_value'
-    assert response.catalog_entry == 'catalog_entry_value'
-    assert response.system == metadata_.StorageSystem.CLOUD_STORAGE
-    assert response.uid == 'uid_value'
-
-
-def test_get_entity_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = metadata_.GetEntityRequest(
-        name='name_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_entity),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.get_entity(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == metadata_.GetEntityRequest(
-            name='name_value',
-        )
-
-def test_get_entity_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = MetadataServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.get_entity in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.get_entity] = mock_rpc
-        request = {}
-        client.get_entity(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.get_entity(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_get_entity_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = MetadataServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.get_entity in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.get_entity] = mock_rpc
-
-        request = {}
-        await client.get_entity(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.get_entity(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_get_entity_async(transport: str = 'grpc_asyncio', request_type=metadata_.GetEntityRequest):
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_entity),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(metadata_.Entity(
-            name='name_value',
-            display_name='display_name_value',
-            description='description_value',
-            id='id_value',
-            etag='etag_value',
-            type_=metadata_.Entity.Type.TABLE,
-            asset='asset_value',
-            data_path='data_path_value',
-            data_path_pattern='data_path_pattern_value',
-            catalog_entry='catalog_entry_value',
-            system=metadata_.StorageSystem.CLOUD_STORAGE,
-            uid='uid_value',
-        ))
-        response = await client.get_entity(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = metadata_.GetEntityRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, metadata_.Entity)
-    assert response.name == 'name_value'
-    assert response.display_name == 'display_name_value'
-    assert response.description == 'description_value'
-    assert response.id == 'id_value'
-    assert response.etag == 'etag_value'
-    assert response.type_ == metadata_.Entity.Type.TABLE
-    assert response.asset == 'asset_value'
-    assert response.data_path == 'data_path_value'
-    assert response.data_path_pattern == 'data_path_pattern_value'
-    assert response.catalog_entry == 'catalog_entry_value'
-    assert response.system == metadata_.StorageSystem.CLOUD_STORAGE
-    assert response.uid == 'uid_value'
-
-
-@pytest.mark.asyncio
-async def test_get_entity_async_from_dict():
-    await test_get_entity_async(request_type=dict)
-
-def test_get_entity_field_headers():
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = metadata_.GetEntityRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_entity),
-            '__call__') as call:
-        call.return_value = metadata_.Entity()
-        client.get_entity(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_get_entity_field_headers_async():
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = metadata_.GetEntityRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_entity),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(metadata_.Entity())
-        await client.get_entity(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-def test_get_entity_flattened():
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_entity),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = metadata_.Entity()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.get_entity(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-
-def test_get_entity_flattened_error():
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.get_entity(
-            metadata_.GetEntityRequest(),
-            name='name_value',
-        )
-
-@pytest.mark.asyncio
-async def test_get_entity_flattened_async():
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_entity),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = metadata_.Entity()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(metadata_.Entity())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.get_entity(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_get_entity_flattened_error_async():
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.get_entity(
-            metadata_.GetEntityRequest(),
-            name='name_value',
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  metadata_.ListEntitiesRequest,
-  dict,
-])
-def test_list_entities(request_type, transport: str = 'grpc'):
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_entities),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = metadata_.ListEntitiesResponse(
-            next_page_token='next_page_token_value',
-        )
-        response = client.list_entities(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = metadata_.ListEntitiesRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListEntitiesPager)
-    assert response.next_page_token == 'next_page_token_value'
-
-
-def test_list_entities_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = metadata_.ListEntitiesRequest(
-        parent='parent_value',
-        page_token='page_token_value',
-        filter='filter_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_entities),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.list_entities(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == metadata_.ListEntitiesRequest(
-            parent='parent_value',
-            page_token='page_token_value',
-            filter='filter_value',
-        )
-
-def test_list_entities_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = MetadataServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.list_entities in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.list_entities] = mock_rpc
-        request = {}
-        client.list_entities(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.list_entities(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_list_entities_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = MetadataServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.list_entities in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.list_entities] = mock_rpc
-
-        request = {}
-        await client.list_entities(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.list_entities(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_list_entities_async(transport: str = 'grpc_asyncio', request_type=metadata_.ListEntitiesRequest):
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_entities),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(metadata_.ListEntitiesResponse(
-            next_page_token='next_page_token_value',
-        ))
-        response = await client.list_entities(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = metadata_.ListEntitiesRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListEntitiesAsyncPager)
-    assert response.next_page_token == 'next_page_token_value'
-
-
-@pytest.mark.asyncio
-async def test_list_entities_async_from_dict():
-    await test_list_entities_async(request_type=dict)
-
-def test_list_entities_field_headers():
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = metadata_.ListEntitiesRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_entities),
-            '__call__') as call:
-        call.return_value = metadata_.ListEntitiesResponse()
-        client.list_entities(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_list_entities_field_headers_async():
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = metadata_.ListEntitiesRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_entities),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(metadata_.ListEntitiesResponse())
-        await client.list_entities(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-def test_list_entities_flattened():
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_entities),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = metadata_.ListEntitiesResponse()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.list_entities(
-            parent='parent_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-
-
-def test_list_entities_flattened_error():
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.list_entities(
-            metadata_.ListEntitiesRequest(),
-            parent='parent_value',
-        )
-
-@pytest.mark.asyncio
-async def test_list_entities_flattened_async():
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_entities),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = metadata_.ListEntitiesResponse()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(metadata_.ListEntitiesResponse())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.list_entities(
-            parent='parent_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_list_entities_flattened_error_async():
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.list_entities(
-            metadata_.ListEntitiesRequest(),
-            parent='parent_value',
-        )
-
-
-def test_list_entities_pager(transport_name: str = "grpc"):
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_entities),
-            '__call__') as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            metadata_.ListEntitiesResponse(
-                entities=[
-                    metadata_.Entity(),
-                    metadata_.Entity(),
-                    metadata_.Entity(),
-                ],
-                next_page_token='abc',
-            ),
-            metadata_.ListEntitiesResponse(
-                entities=[],
-                next_page_token='def',
-            ),
-            metadata_.ListEntitiesResponse(
-                entities=[
-                    metadata_.Entity(),
-                ],
-                next_page_token='ghi',
-            ),
-            metadata_.ListEntitiesResponse(
-                entities=[
-                    metadata_.Entity(),
-                    metadata_.Entity(),
-                ],
-            ),
-            RuntimeError,
-        )
-
-        expected_metadata = ()
-        retry = retries.Retry()
-        timeout = 5
-        expected_metadata = tuple(expected_metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ('parent', ''),
-            )),
-        )
-        pager = client.list_entities(request={}, retry=retry, timeout=timeout)
-
-        assert pager._metadata == expected_metadata
-        assert pager._retry == retry
-        assert pager._timeout == timeout
-
-        results = list(pager)
-        assert len(results) == 6
-        assert all(isinstance(i, metadata_.Entity)
-                   for i in results)
-def test_list_entities_pages(transport_name: str = "grpc"):
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_entities),
-            '__call__') as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            metadata_.ListEntitiesResponse(
-                entities=[
-                    metadata_.Entity(),
-                    metadata_.Entity(),
-                    metadata_.Entity(),
-                ],
-                next_page_token='abc',
-            ),
-            metadata_.ListEntitiesResponse(
-                entities=[],
-                next_page_token='def',
-            ),
-            metadata_.ListEntitiesResponse(
-                entities=[
-                    metadata_.Entity(),
-                ],
-                next_page_token='ghi',
-            ),
-            metadata_.ListEntitiesResponse(
-                entities=[
-                    metadata_.Entity(),
-                    metadata_.Entity(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = list(client.list_entities(request={}).pages)
-        for page_, token in zip(pages, ['abc','def','ghi', '']):
-            assert page_.raw_page.next_page_token == token
-
-@pytest.mark.asyncio
-async def test_list_entities_async_pager():
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_entities),
-            '__call__', new_callable=mock.AsyncMock) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            metadata_.ListEntitiesResponse(
-                entities=[
-                    metadata_.Entity(),
-                    metadata_.Entity(),
-                    metadata_.Entity(),
-                ],
-                next_page_token='abc',
-            ),
-            metadata_.ListEntitiesResponse(
-                entities=[],
-                next_page_token='def',
-            ),
-            metadata_.ListEntitiesResponse(
-                entities=[
-                    metadata_.Entity(),
-                ],
-                next_page_token='ghi',
-            ),
-            metadata_.ListEntitiesResponse(
-                entities=[
-                    metadata_.Entity(),
-                    metadata_.Entity(),
-                ],
-            ),
-            RuntimeError,
-        )
-        async_pager = await client.list_entities(request={},)
-        assert async_pager.next_page_token == 'abc'
-        responses = []
-        async for response in async_pager: # pragma: no branch
-            responses.append(response)
-
-        assert len(responses) == 6
-        assert all(isinstance(i, metadata_.Entity)
-                for i in responses)
-
-
-@pytest.mark.asyncio
-async def test_list_entities_async_pages():
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_entities),
-            '__call__', new_callable=mock.AsyncMock) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            metadata_.ListEntitiesResponse(
-                entities=[
-                    metadata_.Entity(),
-                    metadata_.Entity(),
-                    metadata_.Entity(),
-                ],
-                next_page_token='abc',
-            ),
-            metadata_.ListEntitiesResponse(
-                entities=[],
-                next_page_token='def',
-            ),
-            metadata_.ListEntitiesResponse(
-                entities=[
-                    metadata_.Entity(),
-                ],
-                next_page_token='ghi',
-            ),
-            metadata_.ListEntitiesResponse(
-                entities=[
-                    metadata_.Entity(),
-                    metadata_.Entity(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = []
-        # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch`
-        # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372
-        async for page_ in ( # pragma: no branch
-            await client.list_entities(request={})
-        ).pages:
-            pages.append(page_)
-        for page_, token in zip(pages, ['abc','def','ghi', '']):
-            assert page_.raw_page.next_page_token == token
-
-@pytest.mark.parametrize("request_type", [
-  metadata_.CreatePartitionRequest,
-  dict,
-])
-def test_create_partition(request_type, transport: str = 'grpc'):
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_partition),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = metadata_.Partition(
-            name='name_value',
-            values=['values_value'],
-            location='location_value',
-            etag='etag_value',
-        )
-        response = client.create_partition(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = metadata_.CreatePartitionRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, metadata_.Partition)
-    assert response.name == 'name_value'
-    assert response.values == ['values_value']
-    assert response.location == 'location_value'
-    assert response.etag == 'etag_value'
-
-
-def test_create_partition_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = metadata_.CreatePartitionRequest(
-        parent='parent_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_partition),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.create_partition(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == metadata_.CreatePartitionRequest(
-            parent='parent_value',
-        )
-
-def test_create_partition_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = MetadataServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.create_partition in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.create_partition] = mock_rpc
-        request = {}
-        client.create_partition(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.create_partition(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_create_partition_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = MetadataServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.create_partition in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.create_partition] = mock_rpc
-
-        request = {}
-        await client.create_partition(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.create_partition(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_create_partition_async(transport: str = 'grpc_asyncio', request_type=metadata_.CreatePartitionRequest):
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_partition),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(metadata_.Partition(
-            name='name_value',
-            values=['values_value'],
-            location='location_value',
-            etag='etag_value',
-        ))
-        response = await client.create_partition(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = metadata_.CreatePartitionRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, metadata_.Partition)
-    assert response.name == 'name_value'
-    assert response.values == ['values_value']
-    assert response.location == 'location_value'
-    assert response.etag == 'etag_value'
-
-
-@pytest.mark.asyncio
-async def test_create_partition_async_from_dict():
-    await test_create_partition_async(request_type=dict)
-
-def test_create_partition_field_headers():
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = metadata_.CreatePartitionRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_partition),
-            '__call__') as call:
-        call.return_value = metadata_.Partition()
-        client.create_partition(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_create_partition_field_headers_async():
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = metadata_.CreatePartitionRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_partition),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(metadata_.Partition())
-        await client.create_partition(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-def test_create_partition_flattened():
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_partition),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = metadata_.Partition()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.create_partition(
-            parent='parent_value',
-            partition=metadata_.Partition(name='name_value'),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-        arg = args[0].partition
-        mock_val = metadata_.Partition(name='name_value')
-        assert arg == mock_val
-
-
-def test_create_partition_flattened_error():
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.create_partition(
-            metadata_.CreatePartitionRequest(),
-            parent='parent_value',
-            partition=metadata_.Partition(name='name_value'),
-        )
-
-@pytest.mark.asyncio
-async def test_create_partition_flattened_async():
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_partition),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = metadata_.Partition()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(metadata_.Partition())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.create_partition(
-            parent='parent_value',
-            partition=metadata_.Partition(name='name_value'),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-        arg = args[0].partition
-        mock_val = metadata_.Partition(name='name_value')
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_create_partition_flattened_error_async():
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.create_partition(
-            metadata_.CreatePartitionRequest(),
-            parent='parent_value',
-            partition=metadata_.Partition(name='name_value'),
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  metadata_.DeletePartitionRequest,
-  dict,
-])
-def test_delete_partition(request_type, transport: str = 'grpc'):
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_partition),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = None
-        response = client.delete_partition(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = metadata_.DeletePartitionRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert response is None
-
-
-def test_delete_partition_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = metadata_.DeletePartitionRequest(
-        name='name_value',
-        etag='etag_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_partition),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.delete_partition(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == metadata_.DeletePartitionRequest(
-            name='name_value',
-            etag='etag_value',
-        )
-
-def test_delete_partition_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = MetadataServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.delete_partition in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.delete_partition] = mock_rpc
-        request = {}
-        client.delete_partition(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.delete_partition(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_delete_partition_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = MetadataServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.delete_partition in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.delete_partition] = mock_rpc
-
-        request = {}
-        await client.delete_partition(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.delete_partition(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_delete_partition_async(transport: str = 'grpc_asyncio', request_type=metadata_.DeletePartitionRequest):
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_partition),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
-        response = await client.delete_partition(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = metadata_.DeletePartitionRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert response is None
-
-
-@pytest.mark.asyncio
-async def test_delete_partition_async_from_dict():
-    await test_delete_partition_async(request_type=dict)
-
-def test_delete_partition_field_headers():
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = metadata_.DeletePartitionRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_partition),
-            '__call__') as call:
-        call.return_value = None
-        client.delete_partition(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_delete_partition_field_headers_async():
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = metadata_.DeletePartitionRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_partition),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
-        await client.delete_partition(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-def test_delete_partition_flattened():
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_partition),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = None
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.delete_partition(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-
-def test_delete_partition_flattened_error():
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.delete_partition(
-            metadata_.DeletePartitionRequest(),
-            name='name_value',
-        )
-
-@pytest.mark.asyncio
-async def test_delete_partition_flattened_async():
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_partition),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = None
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.delete_partition(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_delete_partition_flattened_error_async():
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.delete_partition(
-            metadata_.DeletePartitionRequest(),
-            name='name_value',
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  metadata_.GetPartitionRequest,
-  dict,
-])
-def test_get_partition(request_type, transport: str = 'grpc'):
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_partition),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = metadata_.Partition(
-            name='name_value',
-            values=['values_value'],
-            location='location_value',
-            etag='etag_value',
-        )
-        response = client.get_partition(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = metadata_.GetPartitionRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, metadata_.Partition)
-    assert response.name == 'name_value'
-    assert response.values == ['values_value']
-    assert response.location == 'location_value'
-    assert response.etag == 'etag_value'
-
-
-def test_get_partition_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = metadata_.GetPartitionRequest(
-        name='name_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_partition),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.get_partition(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == metadata_.GetPartitionRequest(
-            name='name_value',
-        )
-
-def test_get_partition_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = MetadataServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.get_partition in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.get_partition] = mock_rpc
-        request = {}
-        client.get_partition(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.get_partition(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_get_partition_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = MetadataServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.get_partition in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.get_partition] = mock_rpc
-
-        request = {}
-        await client.get_partition(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.get_partition(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_get_partition_async(transport: str = 'grpc_asyncio', request_type=metadata_.GetPartitionRequest):
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_partition),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(metadata_.Partition(
-            name='name_value',
-            values=['values_value'],
-            location='location_value',
-            etag='etag_value',
-        ))
-        response = await client.get_partition(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = metadata_.GetPartitionRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, metadata_.Partition)
-    assert response.name == 'name_value'
-    assert response.values == ['values_value']
-    assert response.location == 'location_value'
-    assert response.etag == 'etag_value'
-
-
-@pytest.mark.asyncio
-async def test_get_partition_async_from_dict():
-    await test_get_partition_async(request_type=dict)
-
-def test_get_partition_field_headers():
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = metadata_.GetPartitionRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_partition),
-            '__call__') as call:
-        call.return_value = metadata_.Partition()
-        client.get_partition(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_get_partition_field_headers_async():
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = metadata_.GetPartitionRequest()
-
-    request.name = 'name_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_partition),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(metadata_.Partition())
-        await client.get_partition(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'name=name_value',
-    ) in kw['metadata']
-
-
-def test_get_partition_flattened():
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_partition),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = metadata_.Partition()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.get_partition(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-
-def test_get_partition_flattened_error():
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.get_partition(
-            metadata_.GetPartitionRequest(),
-            name='name_value',
-        )
-
-@pytest.mark.asyncio
-async def test_get_partition_flattened_async():
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_partition),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = metadata_.Partition()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(metadata_.Partition())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.get_partition(
-            name='name_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = 'name_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_get_partition_flattened_error_async():
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.get_partition(
-            metadata_.GetPartitionRequest(),
-            name='name_value',
-        )
-
-
-@pytest.mark.parametrize("request_type", [
-  metadata_.ListPartitionsRequest,
-  dict,
-])
-def test_list_partitions(request_type, transport: str = 'grpc'):
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_partitions),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = metadata_.ListPartitionsResponse(
-            next_page_token='next_page_token_value',
-        )
-        response = client.list_partitions(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        request = metadata_.ListPartitionsRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListPartitionsPager)
-    assert response.next_page_token == 'next_page_token_value'
-
-
-def test_list_partitions_non_empty_request_with_auto_populated_field():
-    # This test is a coverage failsafe to make sure that UUID4 fields are
-    # automatically populated, according to AIP-4235, with non-empty requests.
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport='grpc',
-    )
-
-    # Populate all string fields in the request which are not UUID4
-    # since we want to check that UUID4 are populated automatically
-    # if they meet the requirements of AIP 4235.
-    request = metadata_.ListPartitionsRequest(
-        parent='parent_value',
-        page_token='page_token_value',
-        filter='filter_value',
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_partitions),
-            '__call__') as call:
-        call.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client.list_partitions(request=request)
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == metadata_.ListPartitionsRequest(
-            parent='parent_value',
-            page_token='page_token_value',
-            filter='filter_value',
-        )
-
-def test_list_partitions_use_cached_wrapped_rpc():
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
-        client = MetadataServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport="grpc",
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._transport.list_partitions in client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.Mock()
-        mock_rpc.return_value.name = "foo" # operation_request.operation in compute client(s) expect a string.
-        client._transport._wrapped_methods[client._transport.list_partitions] = mock_rpc
-        request = {}
-        client.list_partitions(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        client.list_partitions(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_list_partitions_async_use_cached_wrapped_rpc(transport: str = "grpc_asyncio"):
-    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
-    # instead of constructing them on each call
-    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
-        client = MetadataServiceAsyncClient(
-            credentials=async_anonymous_credentials(),
-            transport=transport,
-        )
-
-        # Should wrap all calls on client creation
-        assert wrapper_fn.call_count > 0
-        wrapper_fn.reset_mock()
-
-        # Ensure method has been cached
-        assert client._client._transport.list_partitions in client._client._transport._wrapped_methods
-
-        # Replace cached wrapped function with mock
-        mock_rpc = mock.AsyncMock()
-        mock_rpc.return_value = mock.Mock()
-        client._client._transport._wrapped_methods[client._client._transport.list_partitions] = mock_rpc
-
-        request = {}
-        await client.list_partitions(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert mock_rpc.call_count == 1
-
-        await client.list_partitions(request)
-
-        # Establish that a new wrapper was not created for this call
-        assert wrapper_fn.call_count == 0
-        assert mock_rpc.call_count == 2
-
-@pytest.mark.asyncio
-async def test_list_partitions_async(transport: str = 'grpc_asyncio', request_type=metadata_.ListPartitionsRequest):
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_partitions),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(metadata_.ListPartitionsResponse(
-            next_page_token='next_page_token_value',
-        ))
-        response = await client.list_partitions(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        request = metadata_.ListPartitionsRequest()
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListPartitionsAsyncPager)
-    assert response.next_page_token == 'next_page_token_value'
-
-
-@pytest.mark.asyncio
-async def test_list_partitions_async_from_dict():
-    await test_list_partitions_async(request_type=dict)
-
-def test_list_partitions_field_headers():
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = metadata_.ListPartitionsRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_partitions),
-            '__call__') as call:
-        call.return_value = metadata_.ListPartitionsResponse()
-        client.list_partitions(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-@pytest.mark.asyncio
-async def test_list_partitions_field_headers_async():
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = metadata_.ListPartitionsRequest()
-
-    request.parent = 'parent_value'
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_partitions),
-            '__call__') as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(metadata_.ListPartitionsResponse())
-        await client.list_partitions(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        'x-goog-request-params',
-        'parent=parent_value',
-    ) in kw['metadata']
-
-
-def test_list_partitions_flattened():
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_partitions),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = metadata_.ListPartitionsResponse()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.list_partitions(
-            parent='parent_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-
-
-def test_list_partitions_flattened_error():
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.list_partitions(
-            metadata_.ListPartitionsRequest(),
-            parent='parent_value',
-        )
-
-@pytest.mark.asyncio
-async def test_list_partitions_flattened_async():
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_partitions),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = metadata_.ListPartitionsResponse()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(metadata_.ListPartitionsResponse())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.list_partitions(
-            parent='parent_value',
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = 'parent_value'
-        assert arg == mock_val
-
-@pytest.mark.asyncio
-async def test_list_partitions_flattened_error_async():
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.list_partitions(
-            metadata_.ListPartitionsRequest(),
-            parent='parent_value',
-        )
-
-
-def test_list_partitions_pager(transport_name: str = "grpc"):
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_partitions),
-            '__call__') as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            metadata_.ListPartitionsResponse(
-                partitions=[
-                    metadata_.Partition(),
-                    metadata_.Partition(),
-                    metadata_.Partition(),
-                ],
-                next_page_token='abc',
-            ),
-            metadata_.ListPartitionsResponse(
-                partitions=[],
-                next_page_token='def',
-            ),
-            metadata_.ListPartitionsResponse(
-                partitions=[
-                    metadata_.Partition(),
-                ],
-                next_page_token='ghi',
-            ),
-            metadata_.ListPartitionsResponse(
-                partitions=[
-                    metadata_.Partition(),
-                    metadata_.Partition(),
-                ],
-            ),
-            RuntimeError,
-        )
-
-        expected_metadata = ()
-        retry = retries.Retry()
-        timeout = 5
-        expected_metadata = tuple(expected_metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((
-                ('parent', ''),
-            )),
-        )
-        pager = client.list_partitions(request={}, retry=retry, timeout=timeout)
-
-        assert pager._metadata == expected_metadata
-        assert pager._retry == retry
-        assert pager._timeout == timeout
-
-        results = list(pager)
-        assert len(results) == 6
-        assert all(isinstance(i, metadata_.Partition)
-                   for i in results)
-def test_list_partitions_pages(transport_name: str = "grpc"):
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_partitions),
-            '__call__') as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            metadata_.ListPartitionsResponse(
-                partitions=[
-                    metadata_.Partition(),
-                    metadata_.Partition(),
-                    metadata_.Partition(),
-                ],
-                next_page_token='abc',
-            ),
-            metadata_.ListPartitionsResponse(
-                partitions=[],
-                next_page_token='def',
-            ),
-            metadata_.ListPartitionsResponse(
-                partitions=[
-                    metadata_.Partition(),
-                ],
-                next_page_token='ghi',
-            ),
-            metadata_.ListPartitionsResponse(
-                partitions=[
-                    metadata_.Partition(),
-                    metadata_.Partition(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = list(client.list_partitions(request={}).pages)
-        for page_, token in zip(pages, ['abc','def','ghi', '']):
-            assert page_.raw_page.next_page_token == token
-
-@pytest.mark.asyncio
-async def test_list_partitions_async_pager():
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_partitions),
-            '__call__', new_callable=mock.AsyncMock) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            metadata_.ListPartitionsResponse(
-                partitions=[
-                    metadata_.Partition(),
-                    metadata_.Partition(),
-                    metadata_.Partition(),
-                ],
-                next_page_token='abc',
-            ),
-            metadata_.ListPartitionsResponse(
-                partitions=[],
-                next_page_token='def',
-            ),
-            metadata_.ListPartitionsResponse(
-                partitions=[
-                    metadata_.Partition(),
-                ],
-                next_page_token='ghi',
-            ),
-            metadata_.ListPartitionsResponse(
-                partitions=[
-                    metadata_.Partition(),
-                    metadata_.Partition(),
-                ],
-            ),
-            RuntimeError,
-        )
-        async_pager = await client.list_partitions(request={},)
-        assert async_pager.next_page_token == 'abc'
-        responses = []
-        async for response in async_pager: # pragma: no branch
-            responses.append(response)
-
-        assert len(responses) == 6
-        assert all(isinstance(i, metadata_.Partition)
-                for i in responses)
-
-
-@pytest.mark.asyncio
-async def test_list_partitions_async_pages():
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_partitions),
-            '__call__', new_callable=mock.AsyncMock) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            metadata_.ListPartitionsResponse(
-                partitions=[
-                    metadata_.Partition(),
-                    metadata_.Partition(),
-                    metadata_.Partition(),
-                ],
-                next_page_token='abc',
-            ),
-            metadata_.ListPartitionsResponse(
-                partitions=[],
-                next_page_token='def',
-            ),
-            metadata_.ListPartitionsResponse(
-                partitions=[
-                    metadata_.Partition(),
-                ],
-                next_page_token='ghi',
-            ),
-            metadata_.ListPartitionsResponse(
-                partitions=[
-                    metadata_.Partition(),
-                    metadata_.Partition(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = []
-        # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch`
-        # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372
-        async for page_ in ( # pragma: no branch
-            await client.list_partitions(request={})
-        ).pages:
-            pages.append(page_)
-        for page_, token in zip(pages, ['abc','def','ghi', '']):
-            assert page_.raw_page.next_page_token == token
-
-
-def test_credentials_transport_error():
-    # It is an error to provide credentials and a transport instance.
-    transport = transports.MetadataServiceGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    with pytest.raises(ValueError):
-        client = MetadataServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport=transport,
-        )
-
-    # It is an error to provide a credentials file and a transport instance.
-    transport = transports.MetadataServiceGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    with pytest.raises(ValueError):
-        client = MetadataServiceClient(
-            client_options={"credentials_file": "credentials.json"},
-            transport=transport,
-        )
-
-    # It is an error to provide an api_key and a transport instance.
-    transport = transports.MetadataServiceGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    options = client_options.ClientOptions()
-    options.api_key = "api_key"
-    with pytest.raises(ValueError):
-        client = MetadataServiceClient(
-            client_options=options,
-            transport=transport,
-        )
-
-    # It is an error to provide an api_key and a credential.
-    options = client_options.ClientOptions()
-    options.api_key = "api_key"
-    with pytest.raises(ValueError):
-        client = MetadataServiceClient(
-            client_options=options,
-            credentials=ga_credentials.AnonymousCredentials()
-        )
-
-    # It is an error to provide scopes and a transport instance.
-    transport = transports.MetadataServiceGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    with pytest.raises(ValueError):
-        client = MetadataServiceClient(
-            client_options={"scopes": ["1", "2"]},
-            transport=transport,
-        )
-
-
-def test_transport_instance():
-    # A client may be instantiated with a custom transport instance.
-    transport = transports.MetadataServiceGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    client = MetadataServiceClient(transport=transport)
-    assert client.transport is transport
-
-def test_transport_get_channel():
-    # A client may be instantiated with a custom transport instance.
-    transport = transports.MetadataServiceGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    channel = transport.grpc_channel
-    assert channel
-
-    transport = transports.MetadataServiceGrpcAsyncIOTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    channel = transport.grpc_channel
-    assert channel
-
-@pytest.mark.parametrize("transport_class", [
-    transports.MetadataServiceGrpcTransport,
-    transports.MetadataServiceGrpcAsyncIOTransport,
-])
-def test_transport_adc(transport_class):
-    # Test default credentials are used if not provided.
-    with mock.patch.object(google.auth, 'default') as adc:
-        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
-        transport_class()
-        adc.assert_called_once()
-
-def test_transport_kind_grpc():
-    transport = MetadataServiceClient.get_transport_class("grpc")(
-        credentials=ga_credentials.AnonymousCredentials()
-    )
-    assert transport.kind == "grpc"
-
-
-def test_initialize_client_w_grpc():
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc"
-    )
-    assert client is not None
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_create_entity_empty_call_grpc():
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_entity),
-            '__call__') as call:
-        call.return_value = metadata_.Entity()
-        client.create_entity(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = metadata_.CreateEntityRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_update_entity_empty_call_grpc():
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_entity),
-            '__call__') as call:
-        call.return_value = metadata_.Entity()
-        client.update_entity(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = metadata_.UpdateEntityRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_delete_entity_empty_call_grpc():
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_entity),
-            '__call__') as call:
-        call.return_value = None
-        client.delete_entity(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = metadata_.DeleteEntityRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_get_entity_empty_call_grpc():
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_entity),
-            '__call__') as call:
-        call.return_value = metadata_.Entity()
-        client.get_entity(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = metadata_.GetEntityRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_list_entities_empty_call_grpc():
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_entities),
-            '__call__') as call:
-        call.return_value = metadata_.ListEntitiesResponse()
-        client.list_entities(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = metadata_.ListEntitiesRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_create_partition_empty_call_grpc():
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_partition),
-            '__call__') as call:
-        call.return_value = metadata_.Partition()
-        client.create_partition(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = metadata_.CreatePartitionRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_delete_partition_empty_call_grpc():
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_partition),
-            '__call__') as call:
-        call.return_value = None
-        client.delete_partition(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = metadata_.DeletePartitionRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_get_partition_empty_call_grpc():
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_partition),
-            '__call__') as call:
-        call.return_value = metadata_.Partition()
-        client.get_partition(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = metadata_.GetPartitionRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-def test_list_partitions_empty_call_grpc():
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_partitions),
-            '__call__') as call:
-        call.return_value = metadata_.ListPartitionsResponse()
-        client.list_partitions(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = metadata_.ListPartitionsRequest()
-
-        assert args[0] == request_msg
-
-
-def test_transport_kind_grpc_asyncio():
-    transport = MetadataServiceAsyncClient.get_transport_class("grpc_asyncio")(
-        credentials=async_anonymous_credentials()
-    )
-    assert transport.kind == "grpc_asyncio"
-
-
-def test_initialize_client_w_grpc_asyncio():
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio"
-    )
-    assert client is not None
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_create_entity_empty_call_grpc_asyncio():
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_entity),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(metadata_.Entity(
-            name='name_value',
-            display_name='display_name_value',
-            description='description_value',
-            id='id_value',
-            etag='etag_value',
-            type_=metadata_.Entity.Type.TABLE,
-            asset='asset_value',
-            data_path='data_path_value',
-            data_path_pattern='data_path_pattern_value',
-            catalog_entry='catalog_entry_value',
-            system=metadata_.StorageSystem.CLOUD_STORAGE,
-            uid='uid_value',
-        ))
-        await client.create_entity(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = metadata_.CreateEntityRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_update_entity_empty_call_grpc_asyncio():
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.update_entity),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(metadata_.Entity(
-            name='name_value',
-            display_name='display_name_value',
-            description='description_value',
-            id='id_value',
-            etag='etag_value',
-            type_=metadata_.Entity.Type.TABLE,
-            asset='asset_value',
-            data_path='data_path_value',
-            data_path_pattern='data_path_pattern_value',
-            catalog_entry='catalog_entry_value',
-            system=metadata_.StorageSystem.CLOUD_STORAGE,
-            uid='uid_value',
-        ))
-        await client.update_entity(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = metadata_.UpdateEntityRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_delete_entity_empty_call_grpc_asyncio():
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_entity),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
-        await client.delete_entity(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = metadata_.DeleteEntityRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_get_entity_empty_call_grpc_asyncio():
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_entity),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(metadata_.Entity(
-            name='name_value',
-            display_name='display_name_value',
-            description='description_value',
-            id='id_value',
-            etag='etag_value',
-            type_=metadata_.Entity.Type.TABLE,
-            asset='asset_value',
-            data_path='data_path_value',
-            data_path_pattern='data_path_pattern_value',
-            catalog_entry='catalog_entry_value',
-            system=metadata_.StorageSystem.CLOUD_STORAGE,
-            uid='uid_value',
-        ))
-        await client.get_entity(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = metadata_.GetEntityRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_list_entities_empty_call_grpc_asyncio():
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_entities),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(metadata_.ListEntitiesResponse(
-            next_page_token='next_page_token_value',
-        ))
-        await client.list_entities(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = metadata_.ListEntitiesRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_create_partition_empty_call_grpc_asyncio():
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.create_partition),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(metadata_.Partition(
-            name='name_value',
-            values=['values_value'],
-            location='location_value',
-            etag='etag_value',
-        ))
-        await client.create_partition(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = metadata_.CreatePartitionRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_delete_partition_empty_call_grpc_asyncio():
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.delete_partition),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
-        await client.delete_partition(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = metadata_.DeletePartitionRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_get_partition_empty_call_grpc_asyncio():
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.get_partition),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(metadata_.Partition(
-            name='name_value',
-            values=['values_value'],
-            location='location_value',
-            etag='etag_value',
-        ))
-        await client.get_partition(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = metadata_.GetPartitionRequest()
-
-        assert args[0] == request_msg
-
-
-# This test is a coverage failsafe to make sure that totally empty calls,
-# i.e. request == None and no flattened fields passed, work.
-@pytest.mark.asyncio
-async def test_list_partitions_empty_call_grpc_asyncio():
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio",
-    )
-
-    # Mock the actual call, and fake the request.
-    with mock.patch.object(
-            type(client.transport.list_partitions),
-            '__call__') as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(metadata_.ListPartitionsResponse(
-            next_page_token='next_page_token_value',
-        ))
-        await client.list_partitions(request=None)
-
-        # Establish that the underlying stub method was called.
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        request_msg = metadata_.ListPartitionsRequest()
-
-        assert args[0] == request_msg
-
-
-def test_transport_grpc_default():
-    # A client should use the gRPC transport by default.
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    assert isinstance(
-        client.transport,
-        transports.MetadataServiceGrpcTransport,
-    )
-
-def test_metadata_service_base_transport_error():
-    # Passing both a credentials object and credentials_file should raise an error
-    with pytest.raises(core_exceptions.DuplicateCredentialArgs):
-        transport = transports.MetadataServiceTransport(
-            credentials=ga_credentials.AnonymousCredentials(),
-            credentials_file="credentials.json"
-        )
-
-
-def test_metadata_service_base_transport():
-    # Instantiate the base transport.
-    with mock.patch('google.cloud.dataplex_v1.services.metadata_service.transports.MetadataServiceTransport.__init__') as Transport:
-        Transport.return_value = None
-        transport = transports.MetadataServiceTransport(
-            credentials=ga_credentials.AnonymousCredentials(),
-        )
-
-    # Every method on the transport should just blindly
-    # raise NotImplementedError.
-    methods = (
-        'create_entity',
-        'update_entity',
-        'delete_entity',
-        'get_entity',
-        'list_entities',
-        'create_partition',
-        'delete_partition',
-        'get_partition',
-        'list_partitions',
-        'get_location',
-        'list_locations',
-        'get_operation',
-        'cancel_operation',
-        'delete_operation',
-        'list_operations',
-    )
-    for method in methods:
-        with pytest.raises(NotImplementedError):
-            getattr(transport, method)(request=object())
-
-    with pytest.raises(NotImplementedError):
-        transport.close()
-
-    # Catch all for all remaining methods and properties
-    remainder = [
-        'kind',
-    ]
-    for r in remainder:
-        with pytest.raises(NotImplementedError):
-            getattr(transport, r)()
-
-
-def test_metadata_service_base_transport_with_credentials_file():
-    # Instantiate the base transport with a credentials file
-    with mock.patch.object(google.auth, 'load_credentials_from_file', autospec=True) as load_creds, mock.patch('google.cloud.dataplex_v1.services.metadata_service.transports.MetadataServiceTransport._prep_wrapped_messages') as Transport:
-        Transport.return_value = None
-        load_creds.return_value = (ga_credentials.AnonymousCredentials(), None)
-        transport = transports.MetadataServiceTransport(
-            credentials_file="credentials.json",
-            quota_project_id="octopus",
-        )
-        load_creds.assert_called_once_with("credentials.json",
-            scopes=None,
-            default_scopes=(
-            'https://www.googleapis.com/auth/cloud-platform',
-),
-            quota_project_id="octopus",
-        )
-
-
-def test_metadata_service_base_transport_with_adc():
-    # Test the default credentials are used if credentials and credentials_file are None.
-    with mock.patch.object(google.auth, 'default', autospec=True) as adc, mock.patch('google.cloud.dataplex_v1.services.metadata_service.transports.MetadataServiceTransport._prep_wrapped_messages') as Transport:
-        Transport.return_value = None
-        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
-        transport = transports.MetadataServiceTransport()
-        adc.assert_called_once()
-
-
-def test_metadata_service_auth_adc():
-    # If no credentials are provided, we should use ADC credentials.
-    with mock.patch.object(google.auth, 'default', autospec=True) as adc:
-        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
-        MetadataServiceClient()
-        adc.assert_called_once_with(
-            scopes=None,
-            default_scopes=(
-            'https://www.googleapis.com/auth/cloud-platform',
-),
-            quota_project_id=None,
-        )
-
-
-@pytest.mark.parametrize(
-    "transport_class",
-    [
-        transports.MetadataServiceGrpcTransport,
-        transports.MetadataServiceGrpcAsyncIOTransport,
-    ],
-)
-def test_metadata_service_transport_auth_adc(transport_class):
-    # If credentials and host are not provided, the transport class should use
-    # ADC credentials.
-    with mock.patch.object(google.auth, 'default', autospec=True) as adc:
-        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
-        transport_class(quota_project_id="octopus", scopes=["1", "2"])
-        adc.assert_called_once_with(
-            scopes=["1", "2"],
-            default_scopes=(                'https://www.googleapis.com/auth/cloud-platform',),
-            quota_project_id="octopus",
-        )
-
-
-@pytest.mark.parametrize(
-    "transport_class",
-    [
-        transports.MetadataServiceGrpcTransport,
-        transports.MetadataServiceGrpcAsyncIOTransport,
-    ],
-)
-def test_metadata_service_transport_auth_gdch_credentials(transport_class):
-    host = 'https://language.com'
-    api_audience_tests = [None, 'https://language2.com']
-    api_audience_expect = [host, 'https://language2.com']
-    for t, e in zip(api_audience_tests, api_audience_expect):
-        with mock.patch.object(google.auth, 'default', autospec=True) as adc:
-            gdch_mock = mock.MagicMock()
-            type(gdch_mock).with_gdch_audience = mock.PropertyMock(return_value=gdch_mock)
-            adc.return_value = (gdch_mock, None)
-            transport_class(host=host, api_audience=t)
-            gdch_mock.with_gdch_audience.assert_called_once_with(
-                e
-            )
-
-
-@pytest.mark.parametrize(
-    "transport_class,grpc_helpers",
-    [
-        (transports.MetadataServiceGrpcTransport, grpc_helpers),
-        (transports.MetadataServiceGrpcAsyncIOTransport, grpc_helpers_async)
-    ],
-)
-def test_metadata_service_transport_create_channel(transport_class, grpc_helpers):
-    # If credentials and host are not provided, the transport class should use
-    # ADC credentials.
-    with mock.patch.object(google.auth, "default", autospec=True) as adc, mock.patch.object(
-        grpc_helpers, "create_channel", autospec=True
-    ) as create_channel:
-        creds = ga_credentials.AnonymousCredentials()
-        adc.return_value = (creds, None)
-        transport_class(
-            quota_project_id="octopus",
-            scopes=["1", "2"]
-        )
-
-        create_channel.assert_called_with(
-            "dataplex.googleapis.com:443",
-            credentials=creds,
-            credentials_file=None,
-            quota_project_id="octopus",
-            default_scopes=(
-                'https://www.googleapis.com/auth/cloud-platform',
-),
-            scopes=["1", "2"],
-            default_host="dataplex.googleapis.com",
-            ssl_credentials=None,
-            options=[
-                ("grpc.max_send_message_length", -1),
-                ("grpc.max_receive_message_length", -1),
-            ],
-        )
-
-
-@pytest.mark.parametrize("transport_class", [transports.MetadataServiceGrpcTransport, transports.MetadataServiceGrpcAsyncIOTransport])
-def test_metadata_service_grpc_transport_client_cert_source_for_mtls(
-    transport_class
-):
-    cred = ga_credentials.AnonymousCredentials()
-
-    # Check ssl_channel_credentials is used if provided.
-    with mock.patch.object(transport_class, "create_channel") as mock_create_channel:
-        mock_ssl_channel_creds = mock.Mock()
-        transport_class(
-            host="squid.clam.whelk",
-            credentials=cred,
-            ssl_channel_credentials=mock_ssl_channel_creds
-        )
-        mock_create_channel.assert_called_once_with(
-            "squid.clam.whelk:443",
-            credentials=cred,
-            credentials_file=None,
-            scopes=None,
-            ssl_credentials=mock_ssl_channel_creds,
-            quota_project_id=None,
-            options=[
-                ("grpc.max_send_message_length", -1),
-                ("grpc.max_receive_message_length", -1),
-            ],
-        )
-
-    # Check if ssl_channel_credentials is not provided, then client_cert_source_for_mtls
-    # is used.
-    with mock.patch.object(transport_class, "create_channel", return_value=mock.Mock()):
-        with mock.patch("grpc.ssl_channel_credentials") as mock_ssl_cred:
-            transport_class(
-                credentials=cred,
-                client_cert_source_for_mtls=client_cert_source_callback
-            )
-            expected_cert, expected_key = client_cert_source_callback()
-            mock_ssl_cred.assert_called_once_with(
-                certificate_chain=expected_cert,
-                private_key=expected_key
-            )
-
-
-@pytest.mark.parametrize("transport_name", [
-    "grpc",
-    "grpc_asyncio",
-])
-def test_metadata_service_host_no_port(transport_name):
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        client_options=client_options.ClientOptions(api_endpoint='dataplex.googleapis.com'),
-         transport=transport_name,
-    )
-    assert client.transport._host == (
-        'dataplex.googleapis.com:443'
-    )
-
-@pytest.mark.parametrize("transport_name", [
-    "grpc",
-    "grpc_asyncio",
-])
-def test_metadata_service_host_with_port(transport_name):
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        client_options=client_options.ClientOptions(api_endpoint='dataplex.googleapis.com:8000'),
-        transport=transport_name,
-    )
-    assert client.transport._host == (
-        'dataplex.googleapis.com:8000'
-    )
-
-def test_metadata_service_grpc_transport_channel():
-    channel = grpc.secure_channel('http://localhost/', grpc.local_channel_credentials())
-
-    # Check that channel is used if provided.
-    transport = transports.MetadataServiceGrpcTransport(
-        host="squid.clam.whelk",
-        channel=channel,
-    )
-    assert transport.grpc_channel == channel
-    assert transport._host == "squid.clam.whelk:443"
-    assert transport._ssl_channel_credentials == None
-
-
-def test_metadata_service_grpc_asyncio_transport_channel():
-    channel = aio.secure_channel('http://localhost/', grpc.local_channel_credentials())
-
-    # Check that channel is used if provided.
-    transport = transports.MetadataServiceGrpcAsyncIOTransport(
-        host="squid.clam.whelk",
-        channel=channel,
-    )
-    assert transport.grpc_channel == channel
-    assert transport._host == "squid.clam.whelk:443"
-    assert transport._ssl_channel_credentials == None
-
-
-# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are
-# removed from grpc/grpc_asyncio transport constructor.
-@pytest.mark.parametrize("transport_class", [transports.MetadataServiceGrpcTransport, transports.MetadataServiceGrpcAsyncIOTransport])
-def test_metadata_service_transport_channel_mtls_with_client_cert_source(
-    transport_class
-):
-    with mock.patch("grpc.ssl_channel_credentials", autospec=True) as grpc_ssl_channel_cred:
-        with mock.patch.object(transport_class, "create_channel") as grpc_create_channel:
-            mock_ssl_cred = mock.Mock()
-            grpc_ssl_channel_cred.return_value = mock_ssl_cred
-
-            mock_grpc_channel = mock.Mock()
-            grpc_create_channel.return_value = mock_grpc_channel
-
-            cred = ga_credentials.AnonymousCredentials()
-            with pytest.warns(DeprecationWarning):
-                with mock.patch.object(google.auth, 'default') as adc:
-                    adc.return_value = (cred, None)
-                    transport = transport_class(
-                        host="squid.clam.whelk",
-                        api_mtls_endpoint="mtls.squid.clam.whelk",
-                        client_cert_source=client_cert_source_callback,
-                    )
-                    adc.assert_called_once()
-
-            grpc_ssl_channel_cred.assert_called_once_with(
-                certificate_chain=b"cert bytes", private_key=b"key bytes"
-            )
-            grpc_create_channel.assert_called_once_with(
-                "mtls.squid.clam.whelk:443",
-                credentials=cred,
-                credentials_file=None,
-                scopes=None,
-                ssl_credentials=mock_ssl_cred,
-                quota_project_id=None,
-                options=[
-                    ("grpc.max_send_message_length", -1),
-                    ("grpc.max_receive_message_length", -1),
-                ],
-            )
-            assert transport.grpc_channel == mock_grpc_channel
-            assert transport._ssl_channel_credentials == mock_ssl_cred
-
-
-# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are
-# removed from grpc/grpc_asyncio transport constructor.
-@pytest.mark.parametrize("transport_class", [transports.MetadataServiceGrpcTransport, transports.MetadataServiceGrpcAsyncIOTransport])
-def test_metadata_service_transport_channel_mtls_with_adc(
-    transport_class
-):
-    mock_ssl_cred = mock.Mock()
-    with mock.patch.multiple(
-        "google.auth.transport.grpc.SslCredentials",
-        __init__=mock.Mock(return_value=None),
-        ssl_credentials=mock.PropertyMock(return_value=mock_ssl_cred),
-    ):
-        with mock.patch.object(transport_class, "create_channel") as grpc_create_channel:
-            mock_grpc_channel = mock.Mock()
-            grpc_create_channel.return_value = mock_grpc_channel
-            mock_cred = mock.Mock()
-
-            with pytest.warns(DeprecationWarning):
-                transport = transport_class(
-                    host="squid.clam.whelk",
-                    credentials=mock_cred,
-                    api_mtls_endpoint="mtls.squid.clam.whelk",
-                    client_cert_source=None,
-                )
-
-            grpc_create_channel.assert_called_once_with(
-                "mtls.squid.clam.whelk:443",
-                credentials=mock_cred,
-                credentials_file=None,
-                scopes=None,
-                ssl_credentials=mock_ssl_cred,
-                quota_project_id=None,
-                options=[
-                    ("grpc.max_send_message_length", -1),
-                    ("grpc.max_receive_message_length", -1),
-                ],
-            )
-            assert transport.grpc_channel == mock_grpc_channel
-
-
-def test_entity_path():
-    project = "squid"
-    location = "clam"
-    lake = "whelk"
-    zone = "octopus"
-    entity = "oyster"
-    expected = "projects/{project}/locations/{location}/lakes/{lake}/zones/{zone}/entities/{entity}".format(project=project, location=location, lake=lake, zone=zone, entity=entity, )
-    actual = MetadataServiceClient.entity_path(project, location, lake, zone, entity)
-    assert expected == actual
-
-
-def test_parse_entity_path():
-    expected = {
-        "project": "nudibranch",
-        "location": "cuttlefish",
-        "lake": "mussel",
-        "zone": "winkle",
-        "entity": "nautilus",
-    }
-    path = MetadataServiceClient.entity_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = MetadataServiceClient.parse_entity_path(path)
-    assert expected == actual
-
-def test_partition_path():
-    project = "scallop"
-    location = "abalone"
-    lake = "squid"
-    zone = "clam"
-    entity = "whelk"
-    partition = "octopus"
-    expected = "projects/{project}/locations/{location}/lakes/{lake}/zones/{zone}/entities/{entity}/partitions/{partition}".format(project=project, location=location, lake=lake, zone=zone, entity=entity, partition=partition, )
-    actual = MetadataServiceClient.partition_path(project, location, lake, zone, entity, partition)
-    assert expected == actual
-
-
-def test_parse_partition_path():
-    expected = {
-        "project": "oyster",
-        "location": "nudibranch",
-        "lake": "cuttlefish",
-        "zone": "mussel",
-        "entity": "winkle",
-        "partition": "nautilus",
-    }
-    path = MetadataServiceClient.partition_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = MetadataServiceClient.parse_partition_path(path)
-    assert expected == actual
-
-def test_zone_path():
-    project = "scallop"
-    location = "abalone"
-    lake = "squid"
-    zone = "clam"
-    expected = "projects/{project}/locations/{location}/lakes/{lake}/zones/{zone}".format(project=project, location=location, lake=lake, zone=zone, )
-    actual = MetadataServiceClient.zone_path(project, location, lake, zone)
-    assert expected == actual
-
-
-def test_parse_zone_path():
-    expected = {
-        "project": "whelk",
-        "location": "octopus",
-        "lake": "oyster",
-        "zone": "nudibranch",
-    }
-    path = MetadataServiceClient.zone_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = MetadataServiceClient.parse_zone_path(path)
-    assert expected == actual
-
-def test_common_billing_account_path():
-    billing_account = "cuttlefish"
-    expected = "billingAccounts/{billing_account}".format(billing_account=billing_account, )
-    actual = MetadataServiceClient.common_billing_account_path(billing_account)
-    assert expected == actual
-
-
-def test_parse_common_billing_account_path():
-    expected = {
-        "billing_account": "mussel",
-    }
-    path = MetadataServiceClient.common_billing_account_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = MetadataServiceClient.parse_common_billing_account_path(path)
-    assert expected == actual
-
-def test_common_folder_path():
-    folder = "winkle"
-    expected = "folders/{folder}".format(folder=folder, )
-    actual = MetadataServiceClient.common_folder_path(folder)
-    assert expected == actual
-
-
-def test_parse_common_folder_path():
-    expected = {
-        "folder": "nautilus",
-    }
-    path = MetadataServiceClient.common_folder_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = MetadataServiceClient.parse_common_folder_path(path)
-    assert expected == actual
-
-def test_common_organization_path():
-    organization = "scallop"
-    expected = "organizations/{organization}".format(organization=organization, )
-    actual = MetadataServiceClient.common_organization_path(organization)
-    assert expected == actual
-
-
-def test_parse_common_organization_path():
-    expected = {
-        "organization": "abalone",
-    }
-    path = MetadataServiceClient.common_organization_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = MetadataServiceClient.parse_common_organization_path(path)
-    assert expected == actual
-
-def test_common_project_path():
-    project = "squid"
-    expected = "projects/{project}".format(project=project, )
-    actual = MetadataServiceClient.common_project_path(project)
-    assert expected == actual
-
-
-def test_parse_common_project_path():
-    expected = {
-        "project": "clam",
-    }
-    path = MetadataServiceClient.common_project_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = MetadataServiceClient.parse_common_project_path(path)
-    assert expected == actual
-
-def test_common_location_path():
-    project = "whelk"
-    location = "octopus"
-    expected = "projects/{project}/locations/{location}".format(project=project, location=location, )
-    actual = MetadataServiceClient.common_location_path(project, location)
-    assert expected == actual
-
-
-def test_parse_common_location_path():
-    expected = {
-        "project": "oyster",
-        "location": "nudibranch",
-    }
-    path = MetadataServiceClient.common_location_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = MetadataServiceClient.parse_common_location_path(path)
-    assert expected == actual
-
-
-def test_client_with_default_client_info():
-    client_info = gapic_v1.client_info.ClientInfo()
-
-    with mock.patch.object(transports.MetadataServiceTransport, '_prep_wrapped_messages') as prep:
-        client = MetadataServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            client_info=client_info,
-        )
-        prep.assert_called_once_with(client_info)
-
-    with mock.patch.object(transports.MetadataServiceTransport, '_prep_wrapped_messages') as prep:
-        transport_class = MetadataServiceClient.get_transport_class()
-        transport = transport_class(
-            credentials=ga_credentials.AnonymousCredentials(),
-            client_info=client_info,
-        )
-        prep.assert_called_once_with(client_info)
-
-
-def test_delete_operation(transport: str = "grpc"):
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.DeleteOperationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = None
-        response = client.delete_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert response is None
-@pytest.mark.asyncio
-async def test_delete_operation_async(transport: str = "grpc_asyncio"):
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.DeleteOperationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            None
-        )
-        response = await client.delete_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert response is None
-
-def test_delete_operation_field_headers():
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.DeleteOperationRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
-        call.return_value =  None
-
-        client.delete_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-@pytest.mark.asyncio
-async def test_delete_operation_field_headers_async():
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.DeleteOperationRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            None
-        )
-        await client.delete_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-
-def test_delete_operation_from_dict():
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = None
-
-        response = client.delete_operation(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-@pytest.mark.asyncio
-async def test_delete_operation_from_dict_async():
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            None
-        )
-        response = await client.delete_operation(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-def test_cancel_operation(transport: str = "grpc"):
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.CancelOperationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = None
-        response = client.cancel_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert response is None
-@pytest.mark.asyncio
-async def test_cancel_operation_async(transport: str = "grpc_asyncio"):
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.CancelOperationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            None
-        )
-        response = await client.cancel_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert response is None
-
-def test_cancel_operation_field_headers():
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.CancelOperationRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
-        call.return_value =  None
-
-        client.cancel_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-@pytest.mark.asyncio
-async def test_cancel_operation_field_headers_async():
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.CancelOperationRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            None
-        )
-        await client.cancel_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-
-def test_cancel_operation_from_dict():
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = None
-
-        response = client.cancel_operation(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-@pytest.mark.asyncio
-async def test_cancel_operation_from_dict_async():
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            None
-        )
-        response = await client.cancel_operation(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-def test_get_operation(transport: str = "grpc"):
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.GetOperationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation()
-        response = client.get_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, operations_pb2.Operation)
-@pytest.mark.asyncio
-async def test_get_operation_async(transport: str = "grpc_asyncio"):
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.GetOperationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation()
-        )
-        response = await client.get_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, operations_pb2.Operation)
-
-def test_get_operation_field_headers():
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.GetOperationRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        call.return_value = operations_pb2.Operation()
-
-        client.get_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-@pytest.mark.asyncio
-async def test_get_operation_field_headers_async():
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.GetOperationRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation()
-        )
-        await client.get_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-
-def test_get_operation_from_dict():
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation()
-
-        response = client.get_operation(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-@pytest.mark.asyncio
-async def test_get_operation_from_dict_async():
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation()
-        )
-        response = await client.get_operation(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-def test_list_operations(transport: str = "grpc"):
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.ListOperationsRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.ListOperationsResponse()
-        response = client.list_operations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, operations_pb2.ListOperationsResponse)
-@pytest.mark.asyncio
-async def test_list_operations_async(transport: str = "grpc_asyncio"):
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.ListOperationsRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.ListOperationsResponse()
-        )
-        response = await client.list_operations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, operations_pb2.ListOperationsResponse)
-
-def test_list_operations_field_headers():
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.ListOperationsRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        call.return_value = operations_pb2.ListOperationsResponse()
-
-        client.list_operations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-@pytest.mark.asyncio
-async def test_list_operations_field_headers_async():
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.ListOperationsRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.ListOperationsResponse()
-        )
-        await client.list_operations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-
-def test_list_operations_from_dict():
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.ListOperationsResponse()
-
-        response = client.list_operations(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-@pytest.mark.asyncio
-async def test_list_operations_from_dict_async():
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.ListOperationsResponse()
-        )
-        response = await client.list_operations(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-def test_list_locations(transport: str = "grpc"):
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = locations_pb2.ListLocationsRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = locations_pb2.ListLocationsResponse()
-        response = client.list_locations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, locations_pb2.ListLocationsResponse)
-@pytest.mark.asyncio
-async def test_list_locations_async(transport: str = "grpc_asyncio"):
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = locations_pb2.ListLocationsRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            locations_pb2.ListLocationsResponse()
-        )
-        response = await client.list_locations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, locations_pb2.ListLocationsResponse)
-
-def test_list_locations_field_headers():
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = locations_pb2.ListLocationsRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
-        call.return_value = locations_pb2.ListLocationsResponse()
-
-        client.list_locations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-@pytest.mark.asyncio
-async def test_list_locations_field_headers_async():
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = locations_pb2.ListLocationsRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            locations_pb2.ListLocationsResponse()
-        )
-        await client.list_locations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations",) in kw["metadata"]
-
-def test_list_locations_from_dict():
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = locations_pb2.ListLocationsResponse()
-
-        response = client.list_locations(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-@pytest.mark.asyncio
-async def test_list_locations_from_dict_async():
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            locations_pb2.ListLocationsResponse()
-        )
-        response = await client.list_locations(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-def test_get_location(transport: str = "grpc"):
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = locations_pb2.GetLocationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_location), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = locations_pb2.Location()
-        response = client.get_location(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, locations_pb2.Location)
-@pytest.mark.asyncio
-async def test_get_location_async(transport: str = "grpc_asyncio"):
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(), transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = locations_pb2.GetLocationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_location), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            locations_pb2.Location()
-        )
-        response = await client.get_location(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, locations_pb2.Location)
-
-def test_get_location_field_headers():
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials())
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = locations_pb2.GetLocationRequest()
-    request.name = "locations/abc"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_location), "__call__") as call:
-        call.return_value = locations_pb2.Location()
-
-        client.get_location(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations/abc",) in kw["metadata"]
-@pytest.mark.asyncio
-async def test_get_location_field_headers_async():
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials()
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = locations_pb2.GetLocationRequest()
-    request.name = "locations/abc"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_location), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            locations_pb2.Location()
-        )
-        await client.get_location(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert ("x-goog-request-params", "name=locations/abc",) in kw["metadata"]
-
-def test_get_location_from_dict():
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = locations_pb2.Location()
-
-        response = client.get_location(
-            request={
-                "name": "locations/abc",
-            }
-        )
-        call.assert_called()
-@pytest.mark.asyncio
-async def test_get_location_from_dict_async():
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            locations_pb2.Location()
-        )
-        response = await client.get_location(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-def test_transport_close_grpc():
-    client = MetadataServiceClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc"
-    )
-    with mock.patch.object(type(getattr(client.transport, "_grpc_channel")), "close") as close:
-        with client:
-            close.assert_not_called()
-        close.assert_called_once()
-
-
-@pytest.mark.asyncio
-async def test_transport_close_grpc_asyncio():
-    client = MetadataServiceAsyncClient(
-        credentials=async_anonymous_credentials(),
-        transport="grpc_asyncio"
-    )
-    with mock.patch.object(type(getattr(client.transport, "_grpc_channel")), "close") as close:
-        async with client:
-            close.assert_not_called()
-        close.assert_called_once()
-
-
-def test_client_ctx():
-    transports = [
-        'grpc',
-    ]
-    for transport in transports:
-        client = MetadataServiceClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport=transport
-        )
-        # Test client calls underlying transport.
-        with mock.patch.object(type(client.transport), "close") as close:
-            close.assert_not_called()
-            with client:
-                pass
-            close.assert_called()
-
-@pytest.mark.parametrize("client_class,transport_class", [
-    (MetadataServiceClient, transports.MetadataServiceGrpcTransport),
-    (MetadataServiceAsyncClient, transports.MetadataServiceGrpcAsyncIOTransport),
-])
-def test_api_key_credentials(client_class, transport_class):
-    with mock.patch.object(
-        google.auth._default, "get_api_key_credentials", create=True
-    ) as get_api_key_credentials:
-        mock_cred = mock.Mock()
-        get_api_key_credentials.return_value = mock_cred
-        options = client_options.ClientOptions()
-        options.api_key = "api_key"
-        with mock.patch.object(transport_class, "__init__") as patched:
-            patched.return_value = None
-            client = client_class(client_options=options)
-            patched.assert_called_once_with(
-                credentials=mock_cred,
-                credentials_file=None,
-                host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE),
-                scopes=None,
-                client_cert_source_for_mtls=None,
-                quota_project_id=None,
-                client_info=transports.base.DEFAULT_CLIENT_INFO,
-                always_use_jwt_access=True,
-                api_audience=None,
-            )
diff --git a/packages/google-cloud-dataplex/google/cloud/dataplex/__init__.py b/packages/google-cloud-dataplex/google/cloud/dataplex/__init__.py
index 550d56ca1cc1..f4a35071ac18 100644
--- a/packages/google-cloud-dataplex/google/cloud/dataplex/__init__.py
+++ b/packages/google-cloud-dataplex/google/cloud/dataplex/__init__.py
@@ -59,10 +59,12 @@
     Aspect,
     AspectSource,
     AspectType,
+    CancelMetadataJobRequest,
     CreateAspectTypeRequest,
     CreateEntryGroupRequest,
     CreateEntryRequest,
     CreateEntryTypeRequest,
+    CreateMetadataJobRequest,
     DeleteAspectTypeRequest,
     DeleteEntryGroupRequest,
     DeleteEntryRequest,
@@ -76,6 +78,8 @@
     GetEntryGroupRequest,
     GetEntryRequest,
     GetEntryTypeRequest,
+    GetMetadataJobRequest,
+    ImportItem,
     ListAspectTypesRequest,
     ListAspectTypesResponse,
     ListEntriesRequest,
@@ -84,7 +88,10 @@
     ListEntryGroupsResponse,
     ListEntryTypesRequest,
     ListEntryTypesResponse,
+    ListMetadataJobsRequest,
+    ListMetadataJobsResponse,
     LookupEntryRequest,
+    MetadataJob,
     SearchEntriesRequest,
     SearchEntriesResponse,
     SearchEntriesResult,
@@ -102,6 +109,10 @@
     ListContentResponse,
     UpdateContentRequest,
 )
+from google.cloud.dataplex_v1.types.data_discovery import (
+    DataDiscoveryResult,
+    DataDiscoverySpec,
+)
 from google.cloud.dataplex_v1.types.data_profile import (
     DataProfileResult,
     DataProfileSpec,
@@ -259,10 +270,12 @@
     "Aspect",
     "AspectSource",
     "AspectType",
+    "CancelMetadataJobRequest",
     "CreateAspectTypeRequest",
     "CreateEntryGroupRequest",
     "CreateEntryRequest",
     "CreateEntryTypeRequest",
+    "CreateMetadataJobRequest",
     "DeleteAspectTypeRequest",
     "DeleteEntryGroupRequest",
     "DeleteEntryRequest",
@@ -275,6 +288,8 @@
     "GetEntryGroupRequest",
     "GetEntryRequest",
     "GetEntryTypeRequest",
+    "GetMetadataJobRequest",
+    "ImportItem",
     "ListAspectTypesRequest",
     "ListAspectTypesResponse",
     "ListEntriesRequest",
@@ -283,7 +298,10 @@
     "ListEntryGroupsResponse",
     "ListEntryTypesRequest",
     "ListEntryTypesResponse",
+    "ListMetadataJobsRequest",
+    "ListMetadataJobsResponse",
     "LookupEntryRequest",
+    "MetadataJob",
     "SearchEntriesRequest",
     "SearchEntriesResponse",
     "SearchEntriesResult",
@@ -299,6 +317,8 @@
     "ListContentRequest",
     "ListContentResponse",
     "UpdateContentRequest",
+    "DataDiscoveryResult",
+    "DataDiscoverySpec",
     "DataProfileResult",
     "DataProfileSpec",
     "DataQualityColumnResult",
diff --git a/packages/google-cloud-dataplex/google/cloud/dataplex/gapic_version.py b/packages/google-cloud-dataplex/google/cloud/dataplex/gapic_version.py
index dd79fdad215c..558c8aab67c5 100644
--- a/packages/google-cloud-dataplex/google/cloud/dataplex/gapic_version.py
+++ b/packages/google-cloud-dataplex/google/cloud/dataplex/gapic_version.py
@@ -13,4 +13,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
-__version__ = "2.3.1"  # {x-release-please-version}
+__version__ = "0.0.0"  # {x-release-please-version}
diff --git a/packages/google-cloud-dataplex/google/cloud/dataplex_v1/__init__.py b/packages/google-cloud-dataplex/google/cloud/dataplex_v1/__init__.py
index d4fbe71a5618..304e760fd71c 100644
--- a/packages/google-cloud-dataplex/google/cloud/dataplex_v1/__init__.py
+++ b/packages/google-cloud-dataplex/google/cloud/dataplex_v1/__init__.py
@@ -35,10 +35,12 @@
     Aspect,
     AspectSource,
     AspectType,
+    CancelMetadataJobRequest,
     CreateAspectTypeRequest,
     CreateEntryGroupRequest,
     CreateEntryRequest,
     CreateEntryTypeRequest,
+    CreateMetadataJobRequest,
     DeleteAspectTypeRequest,
     DeleteEntryGroupRequest,
     DeleteEntryRequest,
@@ -52,6 +54,8 @@
     GetEntryGroupRequest,
     GetEntryRequest,
     GetEntryTypeRequest,
+    GetMetadataJobRequest,
+    ImportItem,
     ListAspectTypesRequest,
     ListAspectTypesResponse,
     ListEntriesRequest,
@@ -60,7 +64,10 @@
     ListEntryGroupsResponse,
     ListEntryTypesRequest,
     ListEntryTypesResponse,
+    ListMetadataJobsRequest,
+    ListMetadataJobsResponse,
     LookupEntryRequest,
+    MetadataJob,
     SearchEntriesRequest,
     SearchEntriesResponse,
     SearchEntriesResult,
@@ -78,6 +85,7 @@
     ListContentResponse,
     UpdateContentRequest,
 )
+from .types.data_discovery import DataDiscoveryResult, DataDiscoverySpec
 from .types.data_profile import DataProfileResult, DataProfileSpec
 from .types.data_quality import (
     DataQualityColumnResult,
@@ -220,6 +228,7 @@
     "Asset",
     "AssetStatus",
     "CancelJobRequest",
+    "CancelMetadataJobRequest",
     "CatalogServiceClient",
     "Content",
     "ContentServiceClient",
@@ -236,12 +245,15 @@
     "CreateEntryTypeRequest",
     "CreateEnvironmentRequest",
     "CreateLakeRequest",
+    "CreateMetadataJobRequest",
     "CreatePartitionRequest",
     "CreateTaskRequest",
     "CreateZoneRequest",
     "DataAccessSpec",
     "DataAttribute",
     "DataAttributeBinding",
+    "DataDiscoveryResult",
+    "DataDiscoverySpec",
     "DataProfileResult",
     "DataProfileSpec",
     "DataQualityColumnResult",
@@ -302,10 +314,12 @@
     "GetEnvironmentRequest",
     "GetJobRequest",
     "GetLakeRequest",
+    "GetMetadataJobRequest",
     "GetPartitionRequest",
     "GetTaskRequest",
     "GetZoneRequest",
     "GovernanceEvent",
+    "ImportItem",
     "Job",
     "JobEvent",
     "Lake",
@@ -342,6 +356,8 @@
     "ListLakeActionsRequest",
     "ListLakesRequest",
     "ListLakesResponse",
+    "ListMetadataJobsRequest",
+    "ListMetadataJobsResponse",
     "ListPartitionsRequest",
     "ListPartitionsResponse",
     "ListSessionsRequest",
@@ -352,6 +368,7 @@
     "ListZonesRequest",
     "ListZonesResponse",
     "LookupEntryRequest",
+    "MetadataJob",
     "MetadataServiceClient",
     "OperationMetadata",
     "Partition",
diff --git a/packages/google-cloud-dataplex/google/cloud/dataplex_v1/gapic_metadata.json b/packages/google-cloud-dataplex/google/cloud/dataplex_v1/gapic_metadata.json
index dcc696790241..9fb1150241c8 100644
--- a/packages/google-cloud-dataplex/google/cloud/dataplex_v1/gapic_metadata.json
+++ b/packages/google-cloud-dataplex/google/cloud/dataplex_v1/gapic_metadata.json
@@ -10,6 +10,11 @@
         "grpc": {
           "libraryClient": "CatalogServiceClient",
           "rpcs": {
+            "CancelMetadataJob": {
+              "methods": [
+                "cancel_metadata_job"
+              ]
+            },
             "CreateAspectType": {
               "methods": [
                 "create_aspect_type"
@@ -30,6 +35,11 @@
                 "create_entry_type"
               ]
             },
+            "CreateMetadataJob": {
+              "methods": [
+                "create_metadata_job"
+              ]
+            },
             "DeleteAspectType": {
               "methods": [
                 "delete_aspect_type"
@@ -70,6 +80,11 @@
                 "get_entry_type"
               ]
             },
+            "GetMetadataJob": {
+              "methods": [
+                "get_metadata_job"
+              ]
+            },
             "ListAspectTypes": {
               "methods": [
                 "list_aspect_types"
@@ -90,6 +105,11 @@
                 "list_entry_types"
               ]
             },
+            "ListMetadataJobs": {
+              "methods": [
+                "list_metadata_jobs"
+              ]
+            },
             "LookupEntry": {
               "methods": [
                 "lookup_entry"
@@ -125,6 +145,11 @@
         "grpc-async": {
           "libraryClient": "CatalogServiceAsyncClient",
           "rpcs": {
+            "CancelMetadataJob": {
+              "methods": [
+                "cancel_metadata_job"
+              ]
+            },
             "CreateAspectType": {
               "methods": [
                 "create_aspect_type"
@@ -145,6 +170,11 @@
                 "create_entry_type"
               ]
             },
+            "CreateMetadataJob": {
+              "methods": [
+                "create_metadata_job"
+              ]
+            },
             "DeleteAspectType": {
               "methods": [
                 "delete_aspect_type"
@@ -185,6 +215,11 @@
                 "get_entry_type"
               ]
             },
+            "GetMetadataJob": {
+              "methods": [
+                "get_metadata_job"
+              ]
+            },
             "ListAspectTypes": {
               "methods": [
                 "list_aspect_types"
@@ -205,6 +240,11 @@
                 "list_entry_types"
               ]
             },
+            "ListMetadataJobs": {
+              "methods": [
+                "list_metadata_jobs"
+              ]
+            },
             "LookupEntry": {
               "methods": [
                 "lookup_entry"
diff --git a/packages/google-cloud-dataplex/google/cloud/dataplex_v1/gapic_version.py b/packages/google-cloud-dataplex/google/cloud/dataplex_v1/gapic_version.py
index dd79fdad215c..558c8aab67c5 100644
--- a/packages/google-cloud-dataplex/google/cloud/dataplex_v1/gapic_version.py
+++ b/packages/google-cloud-dataplex/google/cloud/dataplex_v1/gapic_version.py
@@ -13,4 +13,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
-__version__ = "2.3.1"  # {x-release-please-version}
+__version__ = "0.0.0"  # {x-release-please-version}
diff --git a/packages/google-cloud-dataplex/google/cloud/dataplex_v1/services/catalog_service/async_client.py b/packages/google-cloud-dataplex/google/cloud/dataplex_v1/services/catalog_service/async_client.py
index 76bad2927899..f5523aa8de39 100644
--- a/packages/google-cloud-dataplex/google/cloud/dataplex_v1/services/catalog_service/async_client.py
+++ b/packages/google-cloud-dataplex/google/cloud/dataplex_v1/services/catalog_service/async_client.py
@@ -62,10 +62,10 @@
 
 class CatalogServiceAsyncClient:
     """The primary resources offered by this service are
-    EntryGroups, EntryTypes, AspectTypes, Entry and Aspect which
-    collectively allow a data administrator to organize, manage,
-    secure and catalog data across their organization located across
-    cloud projects in a variety of storage systems including Cloud
+    EntryGroups, EntryTypes, AspectTypes, and Entries. They
+    collectively let data administrators organize, manage, secure,
+    and catalog data located across cloud projects in their
+    organization in a variety of storage systems, including Cloud
     Storage and BigQuery.
     """
 
@@ -86,6 +86,8 @@ class CatalogServiceAsyncClient:
     parse_entry_group_path = staticmethod(CatalogServiceClient.parse_entry_group_path)
     entry_type_path = staticmethod(CatalogServiceClient.entry_type_path)
     parse_entry_type_path = staticmethod(CatalogServiceClient.parse_entry_type_path)
+    metadata_job_path = staticmethod(CatalogServiceClient.metadata_job_path)
+    parse_metadata_job_path = staticmethod(CatalogServiceClient.parse_metadata_job_path)
     common_billing_account_path = staticmethod(
         CatalogServiceClient.common_billing_account_path
     )
@@ -287,7 +289,7 @@ async def create_entry_type(
         timeout: Union[float, object] = gapic_v1.method.DEFAULT,
         metadata: Sequence[Tuple[str, str]] = (),
     ) -> operation_async.AsyncOperation:
-        r"""Creates an EntryType
+        r"""Creates an EntryType.
 
         .. code-block:: python
 
@@ -322,17 +324,17 @@ async def sample_create_entry_type():
 
         Args:
             request (Optional[Union[google.cloud.dataplex_v1.types.CreateEntryTypeRequest, dict]]):
-                The request object. Create EntryType Request
+                The request object. Create EntryType Request.
             parent (:class:`str`):
                 Required. The resource name of the EntryType, of the
                 form: projects/{project_number}/locations/{location_id}
-                where ``location_id`` refers to a GCP region.
+                where ``location_id`` refers to a Google Cloud region.
 
                 This corresponds to the ``parent`` field
                 on the ``request`` instance; if ``request`` is provided, this
                 should not be set.
             entry_type (:class:`google.cloud.dataplex_v1.types.EntryType`):
-                Required. EntryType Resource
+                Required. EntryType Resource.
                 This corresponds to the ``entry_type`` field
                 on the ``request`` instance; if ``request`` is provided, this
                 should not be set.
@@ -424,7 +426,7 @@ async def update_entry_type(
         timeout: Union[float, object] = gapic_v1.method.DEFAULT,
         metadata: Sequence[Tuple[str, str]] = (),
     ) -> operation_async.AsyncOperation:
-        r"""Updates a EntryType resource.
+        r"""Updates an EntryType.
 
         .. code-block:: python
 
@@ -457,9 +459,9 @@ async def sample_update_entry_type():
 
         Args:
             request (Optional[Union[google.cloud.dataplex_v1.types.UpdateEntryTypeRequest, dict]]):
-                The request object. Update EntryType Request
+                The request object. Update EntryType Request.
             entry_type (:class:`google.cloud.dataplex_v1.types.EntryType`):
-                Required. EntryType Resource
+                Required. EntryType Resource.
                 This corresponds to the ``entry_type`` field
                 on the ``request`` instance; if ``request`` is provided, this
                 should not be set.
@@ -550,7 +552,7 @@ async def delete_entry_type(
         timeout: Union[float, object] = gapic_v1.method.DEFAULT,
         metadata: Sequence[Tuple[str, str]] = (),
     ) -> operation_async.AsyncOperation:
-        r"""Deletes a EntryType resource.
+        r"""Deletes an EntryType.
 
         .. code-block:: python
 
@@ -584,7 +586,7 @@ async def sample_delete_entry_type():
 
         Args:
             request (Optional[Union[google.cloud.dataplex_v1.types.DeleteEntryTypeRequest, dict]]):
-                The request object. Delele EntryType Request
+                The request object. Delele EntryType Request.
             name (:class:`str`):
                 Required. The resource name of the EntryType:
                 ``projects/{project_number}/locations/{location_id}/entryTypes/{entry_type_id}``.
@@ -713,7 +715,7 @@ async def sample_list_entry_types():
                 Required. The resource name of the EntryType location,
                 of the form:
                 ``projects/{project_number}/locations/{location_id}``
-                where ``location_id`` refers to a GCP region.
+                where ``location_id`` refers to a Google Cloud region.
 
                 This corresponds to the ``parent`` field
                 on the ``request`` instance; if ``request`` is provided, this
@@ -726,7 +728,7 @@ async def sample_list_entry_types():
 
         Returns:
             google.cloud.dataplex_v1.services.catalog_service.pagers.ListEntryTypesAsyncPager:
-                List EntryTypes response
+                List EntryTypes response.
 
                 Iterating over this object will yield
                 results and resolve additional pages
@@ -799,7 +801,7 @@ async def get_entry_type(
         timeout: Union[float, object] = gapic_v1.method.DEFAULT,
         metadata: Sequence[Tuple[str, str]] = (),
     ) -> catalog.EntryType:
-        r"""Retrieves a EntryType resource.
+        r"""Gets an EntryType.
 
         .. code-block:: python
 
@@ -829,7 +831,7 @@ async def sample_get_entry_type():
 
         Args:
             request (Optional[Union[google.cloud.dataplex_v1.types.GetEntryTypeRequest, dict]]):
-                The request object. Get EntryType request
+                The request object. Get EntryType request.
             name (:class:`str`):
                 Required. The resource name of the EntryType:
                 ``projects/{project_number}/locations/{location_id}/entryTypes/{entry_type_id}``.
@@ -906,7 +908,7 @@ async def create_aspect_type(
         timeout: Union[float, object] = gapic_v1.method.DEFAULT,
         metadata: Sequence[Tuple[str, str]] = (),
     ) -> operation_async.AsyncOperation:
-        r"""Creates an AspectType
+        r"""Creates an AspectType.
 
         .. code-block:: python
 
@@ -946,17 +948,17 @@ async def sample_create_aspect_type():
 
         Args:
             request (Optional[Union[google.cloud.dataplex_v1.types.CreateAspectTypeRequest, dict]]):
-                The request object. Create AspectType Request
+                The request object. Create AspectType Request.
             parent (:class:`str`):
                 Required. The resource name of the AspectType, of the
                 form: projects/{project_number}/locations/{location_id}
-                where ``location_id`` refers to a GCP region.
+                where ``location_id`` refers to a Google Cloud region.
 
                 This corresponds to the ``parent`` field
                 on the ``request`` instance; if ``request`` is provided, this
                 should not be set.
             aspect_type (:class:`google.cloud.dataplex_v1.types.AspectType`):
-                Required. AspectType Resource
+                Required. AspectType Resource.
                 This corresponds to the ``aspect_type`` field
                 on the ``request`` instance; if ``request`` is provided, this
                 should not be set.
@@ -975,9 +977,9 @@ async def sample_create_aspect_type():
             google.api_core.operation_async.AsyncOperation:
                 An object representing a long-running operation.
 
-                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.AspectType` Aspect Type is a template for creating Aspects, and represents the
-                   JSON-schema for a given Entry, e.g., BigQuery Table
-                   Schema.
+                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.AspectType` AspectType is a template for creating Aspects, and represents the
+                   JSON-schema for a given Entry, for example, BigQuery
+                   Table Schema.
 
         """
         # Create or coerce a protobuf request object.
@@ -1048,7 +1050,7 @@ async def update_aspect_type(
         timeout: Union[float, object] = gapic_v1.method.DEFAULT,
         metadata: Sequence[Tuple[str, str]] = (),
     ) -> operation_async.AsyncOperation:
-        r"""Updates a AspectType resource.
+        r"""Updates an AspectType.
 
         .. code-block:: python
 
@@ -1107,9 +1109,9 @@ async def sample_update_aspect_type():
             google.api_core.operation_async.AsyncOperation:
                 An object representing a long-running operation.
 
-                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.AspectType` Aspect Type is a template for creating Aspects, and represents the
-                   JSON-schema for a given Entry, e.g., BigQuery Table
-                   Schema.
+                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.AspectType` AspectType is a template for creating Aspects, and represents the
+                   JSON-schema for a given Entry, for example, BigQuery
+                   Table Schema.
 
         """
         # Create or coerce a protobuf request object.
@@ -1179,7 +1181,7 @@ async def delete_aspect_type(
         timeout: Union[float, object] = gapic_v1.method.DEFAULT,
         metadata: Sequence[Tuple[str, str]] = (),
     ) -> operation_async.AsyncOperation:
-        r"""Deletes a AspectType resource.
+        r"""Deletes an AspectType.
 
         .. code-block:: python
 
@@ -1213,7 +1215,7 @@ async def sample_delete_aspect_type():
 
         Args:
             request (Optional[Union[google.cloud.dataplex_v1.types.DeleteAspectTypeRequest, dict]]):
-                The request object. Delele AspectType Request
+                The request object. Delele AspectType Request.
             name (:class:`str`):
                 Required. The resource name of the AspectType:
                 ``projects/{project_number}/locations/{location_id}/aspectTypes/{aspect_type_id}``.
@@ -1337,12 +1339,12 @@ async def sample_list_aspect_types():
 
         Args:
             request (Optional[Union[google.cloud.dataplex_v1.types.ListAspectTypesRequest, dict]]):
-                The request object. List AspectTypes request
+                The request object. List AspectTypes request.
             parent (:class:`str`):
                 Required. The resource name of the AspectType location,
                 of the form:
                 ``projects/{project_number}/locations/{location_id}``
-                where ``location_id`` refers to a GCP region.
+                where ``location_id`` refers to a Google Cloud region.
 
                 This corresponds to the ``parent`` field
                 on the ``request`` instance; if ``request`` is provided, this
@@ -1355,7 +1357,7 @@ async def sample_list_aspect_types():
 
         Returns:
             google.cloud.dataplex_v1.services.catalog_service.pagers.ListAspectTypesAsyncPager:
-                List AspectTypes response
+                List AspectTypes response.
 
                 Iterating over this object will yield
                 results and resolve additional pages
@@ -1428,7 +1430,7 @@ async def get_aspect_type(
         timeout: Union[float, object] = gapic_v1.method.DEFAULT,
         metadata: Sequence[Tuple[str, str]] = (),
     ) -> catalog.AspectType:
-        r"""Retrieves a AspectType resource.
+        r"""Gets an AspectType.
 
         .. code-block:: python
 
@@ -1458,7 +1460,7 @@ async def sample_get_aspect_type():
 
         Args:
             request (Optional[Union[google.cloud.dataplex_v1.types.GetAspectTypeRequest, dict]]):
-                The request object. Get AspectType request
+                The request object. Get AspectType request.
             name (:class:`str`):
                 Required. The resource name of the AspectType:
                 ``projects/{project_number}/locations/{location_id}/aspectTypes/{aspect_type_id}``.
@@ -1474,10 +1476,10 @@ async def sample_get_aspect_type():
 
         Returns:
             google.cloud.dataplex_v1.types.AspectType:
-                Aspect Type is a template for
-                creating Aspects, and represents the
-                JSON-schema for a given Entry, e.g.,
-                BigQuery Table Schema.
+                AspectType is a template for creating
+                Aspects, and represents the JSON-schema
+                for a given Entry, for example, BigQuery
+                Table Schema.
 
         """
         # Create or coerce a protobuf request object.
@@ -1537,7 +1539,7 @@ async def create_entry_group(
         timeout: Union[float, object] = gapic_v1.method.DEFAULT,
         metadata: Sequence[Tuple[str, str]] = (),
     ) -> operation_async.AsyncOperation:
-        r"""Creates an EntryGroup
+        r"""Creates an EntryGroup.
 
         .. code-block:: python
 
@@ -1572,7 +1574,7 @@ async def sample_create_entry_group():
 
         Args:
             request (Optional[Union[google.cloud.dataplex_v1.types.CreateEntryGroupRequest, dict]]):
-                The request object. Create EntryGroup Request
+                The request object. Create EntryGroup Request.
             parent (:class:`str`):
                 Required. The resource name of the entryGroup, of the
                 form: projects/{project_number}/locations/{location_id}
@@ -1582,7 +1584,7 @@ async def sample_create_entry_group():
                 on the ``request`` instance; if ``request`` is provided, this
                 should not be set.
             entry_group (:class:`google.cloud.dataplex_v1.types.EntryGroup`):
-                Required. EntryGroup Resource
+                Required. EntryGroup Resource.
                 This corresponds to the ``entry_group`` field
                 on the ``request`` instance; if ``request`` is provided, this
                 should not be set.
@@ -1675,7 +1677,7 @@ async def update_entry_group(
         timeout: Union[float, object] = gapic_v1.method.DEFAULT,
         metadata: Sequence[Tuple[str, str]] = (),
     ) -> operation_async.AsyncOperation:
-        r"""Updates a EntryGroup resource.
+        r"""Updates an EntryGroup.
 
         .. code-block:: python
 
@@ -1708,9 +1710,9 @@ async def sample_update_entry_group():
 
         Args:
             request (Optional[Union[google.cloud.dataplex_v1.types.UpdateEntryGroupRequest, dict]]):
-                The request object. Update EntryGroup Request
+                The request object. Update EntryGroup Request.
             entry_group (:class:`google.cloud.dataplex_v1.types.EntryGroup`):
-                Required. EntryGroup Resource
+                Required. EntryGroup Resource.
                 This corresponds to the ``entry_group`` field
                 on the ``request`` instance; if ``request`` is provided, this
                 should not be set.
@@ -1802,7 +1804,7 @@ async def delete_entry_group(
         timeout: Union[float, object] = gapic_v1.method.DEFAULT,
         metadata: Sequence[Tuple[str, str]] = (),
     ) -> operation_async.AsyncOperation:
-        r"""Deletes a EntryGroup resource.
+        r"""Deletes an EntryGroup.
 
         .. code-block:: python
 
@@ -1836,7 +1838,7 @@ async def sample_delete_entry_group():
 
         Args:
             request (Optional[Union[google.cloud.dataplex_v1.types.DeleteEntryGroupRequest, dict]]):
-                The request object. Delele EntryGroup Request
+                The request object. Delete EntryGroup Request.
             name (:class:`str`):
                 Required. The resource name of the EntryGroup:
                 ``projects/{project_number}/locations/{location_id}/entryGroups/{entry_group_id}``.
@@ -1965,7 +1967,7 @@ async def sample_list_entry_groups():
                 Required. The resource name of the entryGroup location,
                 of the form:
                 ``projects/{project_number}/locations/{location_id}``
-                where ``location_id`` refers to a GCP region.
+                where ``location_id`` refers to a Google Cloud region.
 
                 This corresponds to the ``parent`` field
                 on the ``request`` instance; if ``request`` is provided, this
@@ -1978,7 +1980,7 @@ async def sample_list_entry_groups():
 
         Returns:
             google.cloud.dataplex_v1.services.catalog_service.pagers.ListEntryGroupsAsyncPager:
-                List ListEntryGroups response.
+                List entry groups response.
 
                 Iterating over this object will yield
                 results and resolve additional pages
@@ -2051,7 +2053,7 @@ async def get_entry_group(
         timeout: Union[float, object] = gapic_v1.method.DEFAULT,
         metadata: Sequence[Tuple[str, str]] = (),
     ) -> catalog.EntryGroup:
-        r"""Retrieves a EntryGroup resource.
+        r"""Gets an EntryGroup.
 
         .. code-block:: python
 
@@ -2193,7 +2195,7 @@ async def sample_create_entry():
 
         Args:
             request (Optional[Union[google.cloud.dataplex_v1.types.CreateEntryRequest, dict]]):
-                The request object.
+                The request object. Create Entry request.
             parent (:class:`str`):
                 Required. The resource name of the parent Entry Group:
                 ``projects/{project}/locations/{location}/entryGroups/{entry_group}``.
@@ -2210,22 +2212,23 @@ async def sample_create_entry():
                 Required. Entry identifier. It has to be unique within
                 an Entry Group.
 
-                Entries corresponding to Google Cloud resources use
-                Entry ID format based on Full Resource Names
-                (https://cloud.google.com/apis/design/resource_names#full_resource_name).
-                The format is a Full Resource Name of the resource
-                without the prefix double slashes in the API Service
-                Name part of Full Resource Name. This allows retrieval
-                of entries using their associated resource name.
+                Entries corresponding to Google Cloud resources use an
+                Entry ID format based on `full resource
+                names <https://cloud.google.com/apis/design/resource_names#full_resource_name>`__.
+                The format is a full resource name of the resource
+                without the prefix double slashes in the API service
+                name part of the full resource name. This allows
+                retrieval of entries using their associated resource
+                name.
 
-                For example if the Full Resource Name of a resource is
+                For example, if the full resource name of a resource is
                 ``//library.googleapis.com/shelves/shelf1/books/book2``,
                 then the suggested entry_id is
                 ``library.googleapis.com/shelves/shelf1/books/book2``.
 
                 It is also suggested to follow the same convention for
-                entries corresponding to resources from other providers
-                or systems than Google Cloud.
+                entries corresponding to resources from providers or
+                systems other than Google Cloud.
 
                 The maximum size of the field is 4000 characters.
 
@@ -2241,7 +2244,7 @@ async def sample_create_entry():
         Returns:
             google.cloud.dataplex_v1.types.Entry:
                 An entry is a representation of a
-                data asset which can be described by
+                data resource that can be described by
                 various metadata.
 
         """
@@ -2338,7 +2341,7 @@ async def sample_update_entry():
 
         Args:
             request (Optional[Union[google.cloud.dataplex_v1.types.UpdateEntryRequest, dict]]):
-                The request object.
+                The request object. Update Entry request.
             entry (:class:`google.cloud.dataplex_v1.types.Entry`):
                 Required. Entry resource.
                 This corresponds to the ``entry`` field
@@ -2348,8 +2351,8 @@ async def sample_update_entry():
                 Optional. Mask of fields to update. To update Aspects,
                 the update_mask must contain the value "aspects".
 
-                If the update_mask is empty, all modifiable fields
-                present in the request will be updated.
+                If the update_mask is empty, the service will update all
+                modifiable fields present in the request.
 
                 This corresponds to the ``update_mask`` field
                 on the ``request`` instance; if ``request`` is provided, this
@@ -2363,7 +2366,7 @@ async def sample_update_entry():
         Returns:
             google.cloud.dataplex_v1.types.Entry:
                 An entry is a representation of a
-                data asset which can be described by
+                data resource that can be described by
                 various metadata.
 
         """
@@ -2456,7 +2459,7 @@ async def sample_delete_entry():
 
         Args:
             request (Optional[Union[google.cloud.dataplex_v1.types.DeleteEntryRequest, dict]]):
-                The request object.
+                The request object. Delete Entry request.
             name (:class:`str`):
                 Required. The resource name of the Entry:
                 ``projects/{project}/locations/{location}/entryGroups/{entry_group}/entries/{entry}``.
@@ -2473,7 +2476,7 @@ async def sample_delete_entry():
         Returns:
             google.cloud.dataplex_v1.types.Entry:
                 An entry is a representation of a
-                data asset which can be described by
+                data resource that can be described by
                 various metadata.
 
         """
@@ -2532,7 +2535,7 @@ async def list_entries(
         timeout: Union[float, object] = gapic_v1.method.DEFAULT,
         metadata: Sequence[Tuple[str, str]] = (),
     ) -> pagers.ListEntriesAsyncPager:
-        r"""Lists entries within an entry group.
+        r"""Lists Entries within an EntryGroup.
 
         .. code-block:: python
 
@@ -2563,7 +2566,7 @@ async def sample_list_entries():
 
         Args:
             request (Optional[Union[google.cloud.dataplex_v1.types.ListEntriesRequest, dict]]):
-                The request object.
+                The request object. List Entries request.
             parent (:class:`str`):
                 Required. The resource name of the parent Entry Group:
                 ``projects/{project}/locations/{location}/entryGroups/{entry_group}``.
@@ -2579,6 +2582,8 @@ async def sample_list_entries():
 
         Returns:
             google.cloud.dataplex_v1.services.catalog_service.pagers.ListEntriesAsyncPager:
+                List Entries response.
+
                 Iterating over this object will yield
                 results and resolve additional pages
                 automatically.
@@ -2650,7 +2655,12 @@ async def get_entry(
         timeout: Union[float, object] = gapic_v1.method.DEFAULT,
         metadata: Sequence[Tuple[str, str]] = (),
     ) -> catalog.Entry:
-        r"""Gets a single entry.
+        r"""Gets an Entry.
+
+        **Caution**: The BigQuery metadata that is stored in Dataplex
+        Catalog is changing. For more information, see `Changes to
+        BigQuery metadata stored in Dataplex
+        Catalog <https://cloud.google.com/dataplex/docs/biqquery-metadata-changes>`__.
 
         .. code-block:: python
 
@@ -2680,7 +2690,7 @@ async def sample_get_entry():
 
         Args:
             request (Optional[Union[google.cloud.dataplex_v1.types.GetEntryRequest, dict]]):
-                The request object.
+                The request object. Get Entry request.
             name (:class:`str`):
                 Required. The resource name of the Entry:
                 ``projects/{project}/locations/{location}/entryGroups/{entry_group}/entries/{entry}``.
@@ -2697,7 +2707,7 @@ async def sample_get_entry():
         Returns:
             google.cloud.dataplex_v1.types.Entry:
                 An entry is a representation of a
-                data asset which can be described by
+                data resource that can be described by
                 various metadata.
 
         """
@@ -2755,7 +2765,13 @@ async def lookup_entry(
         timeout: Union[float, object] = gapic_v1.method.DEFAULT,
         metadata: Sequence[Tuple[str, str]] = (),
     ) -> catalog.Entry:
-        r"""Looks up a single entry.
+        r"""Looks up a single Entry by name using the permission on the
+        source system.
+
+        **Caution**: The BigQuery metadata that is stored in Dataplex
+        Catalog is changing. For more information, see `Changes to
+        BigQuery metadata stored in Dataplex
+        Catalog <https://cloud.google.com/dataplex/docs/biqquery-metadata-changes>`__.
 
         .. code-block:: python
 
@@ -2786,7 +2802,8 @@ async def sample_lookup_entry():
 
         Args:
             request (Optional[Union[google.cloud.dataplex_v1.types.LookupEntryRequest, dict]]):
-                The request object.
+                The request object. Lookup Entry request using
+                permissions in the source system.
             retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
                 should be retried.
             timeout (float): The timeout for this request.
@@ -2796,7 +2813,7 @@ async def sample_lookup_entry():
         Returns:
             google.cloud.dataplex_v1.types.Entry:
                 An entry is a representation of a
-                data asset which can be described by
+                data resource that can be described by
                 various metadata.
 
         """
@@ -2842,7 +2859,8 @@ async def search_entries(
         timeout: Union[float, object] = gapic_v1.method.DEFAULT,
         metadata: Sequence[Tuple[str, str]] = (),
     ) -> pagers.SearchEntriesAsyncPager:
-        r"""Searches for entries matching given query and scope.
+        r"""Searches for Entries matching the given query and
+        scope.
 
         .. code-block:: python
 
@@ -2962,6 +2980,479 @@ async def sample_search_entries():
         # Done; return the response.
         return response
 
+    async def create_metadata_job(
+        self,
+        request: Optional[Union[catalog.CreateMetadataJobRequest, dict]] = None,
+        *,
+        parent: Optional[str] = None,
+        metadata_job: Optional[catalog.MetadataJob] = None,
+        metadata_job_id: Optional[str] = None,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> operation_async.AsyncOperation:
+        r"""Creates a metadata job. For example, use a metadata
+        job to import Dataplex Catalog entries and aspects from
+        a third-party system into Dataplex.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_create_metadata_job():
+                # Create a client
+                client = dataplex_v1.CatalogServiceAsyncClient()
+
+                # Initialize request argument(s)
+                metadata_job = dataplex_v1.MetadataJob()
+                metadata_job.import_spec.scope.entry_groups = ['entry_groups_value1', 'entry_groups_value2']
+                metadata_job.import_spec.scope.entry_types = ['entry_types_value1', 'entry_types_value2']
+                metadata_job.import_spec.entry_sync_mode = "INCREMENTAL"
+                metadata_job.import_spec.aspect_sync_mode = "INCREMENTAL"
+                metadata_job.type_ = "IMPORT"
+
+                request = dataplex_v1.CreateMetadataJobRequest(
+                    parent="parent_value",
+                    metadata_job=metadata_job,
+                )
+
+                # Make the request
+                operation = client.create_metadata_job(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = (await operation).result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.CreateMetadataJobRequest, dict]]):
+                The request object. Create metadata job request.
+            parent (:class:`str`):
+                Required. The resource name of the parent location, in
+                the format
+                ``projects/{project_id_or_number}/locations/{location_id}``
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            metadata_job (:class:`google.cloud.dataplex_v1.types.MetadataJob`):
+                Required. The metadata job resource.
+                This corresponds to the ``metadata_job`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            metadata_job_id (:class:`str`):
+                Optional. The metadata job ID. If not provided, a unique
+                ID is generated with the prefix ``metadata-job-``.
+
+                This corresponds to the ``metadata_job_id`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation_async.AsyncOperation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be
+                :class:`google.cloud.dataplex_v1.types.MetadataJob` A
+                metadata job resource.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent, metadata_job, metadata_job_id])
+        if request is not None and has_flattened_params:
+            raise ValueError(
+                "If the `request` argument is set, then none of "
+                "the individual field arguments should be set."
+            )
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.CreateMetadataJobRequest):
+            request = catalog.CreateMetadataJobRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if parent is not None:
+            request.parent = parent
+        if metadata_job is not None:
+            request.metadata_job = metadata_job
+        if metadata_job_id is not None:
+            request.metadata_job_id = metadata_job_id
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[
+            self._client._transport.create_metadata_job
+        ]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation_async.from_gapic(
+            response,
+            self._client._transport.operations_client,
+            catalog.MetadataJob,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def get_metadata_job(
+        self,
+        request: Optional[Union[catalog.GetMetadataJobRequest, dict]] = None,
+        *,
+        name: Optional[str] = None,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> catalog.MetadataJob:
+        r"""Gets a metadata job.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_get_metadata_job():
+                # Create a client
+                client = dataplex_v1.CatalogServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.GetMetadataJobRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                response = await client.get_metadata_job(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.GetMetadataJobRequest, dict]]):
+                The request object. Get metadata job request.
+            name (:class:`str`):
+                Required. The resource name of the metadata job, in the
+                format
+                ``projects/{project_id_or_number}/locations/{location_id}/metadataJobs/{metadata_job_id}``.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.MetadataJob:
+                A metadata job resource.
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError(
+                "If the `request` argument is set, then none of "
+                "the individual field arguments should be set."
+            )
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.GetMetadataJobRequest):
+            request = catalog.GetMetadataJobRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if name is not None:
+            request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[
+            self._client._transport.get_metadata_job
+        ]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def list_metadata_jobs(
+        self,
+        request: Optional[Union[catalog.ListMetadataJobsRequest, dict]] = None,
+        *,
+        parent: Optional[str] = None,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> pagers.ListMetadataJobsAsyncPager:
+        r"""Lists metadata jobs.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_list_metadata_jobs():
+                # Create a client
+                client = dataplex_v1.CatalogServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.ListMetadataJobsRequest(
+                    parent="parent_value",
+                )
+
+                # Make the request
+                page_result = client.list_metadata_jobs(request=request)
+
+                # Handle the response
+                async for response in page_result:
+                    print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.ListMetadataJobsRequest, dict]]):
+                The request object. List metadata jobs request.
+            parent (:class:`str`):
+                Required. The resource name of the parent location, in
+                the format
+                ``projects/{project_id_or_number}/locations/{location_id}``
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.services.catalog_service.pagers.ListMetadataJobsAsyncPager:
+                List metadata jobs response.
+
+                Iterating over this object will yield
+                results and resolve additional pages
+                automatically.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent])
+        if request is not None and has_flattened_params:
+            raise ValueError(
+                "If the `request` argument is set, then none of "
+                "the individual field arguments should be set."
+            )
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.ListMetadataJobsRequest):
+            request = catalog.ListMetadataJobsRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if parent is not None:
+            request.parent = parent
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[
+            self._client._transport.list_metadata_jobs
+        ]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # This method is paged; wrap the response in a pager, which provides
+        # an `__aiter__` convenience method.
+        response = pagers.ListMetadataJobsAsyncPager(
+            method=rpc,
+            request=request,
+            response=response,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def cancel_metadata_job(
+        self,
+        request: Optional[Union[catalog.CancelMetadataJobRequest, dict]] = None,
+        *,
+        name: Optional[str] = None,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> None:
+        r"""Cancels a metadata job.
+
+        If you cancel a metadata import job that is in progress,
+        the changes in the job might be partially applied. We
+        recommend that you reset the state of the entry groups
+        in your project by running another metadata job that
+        reverts the changes from the canceled job.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            async def sample_cancel_metadata_job():
+                # Create a client
+                client = dataplex_v1.CatalogServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.CancelMetadataJobRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                await client.cancel_metadata_job(request=request)
+
+        Args:
+            request (Optional[Union[google.cloud.dataplex_v1.types.CancelMetadataJobRequest, dict]]):
+                The request object. Cancel metadata job request.
+            name (:class:`str`):
+                Required. The resource name of the job, in the format
+                ``projects/{project_id_or_number}/locations/{location_id}/metadataJobs/{metadata_job_id}``
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError(
+                "If the `request` argument is set, then none of "
+                "the individual field arguments should be set."
+            )
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.CancelMetadataJobRequest):
+            request = catalog.CancelMetadataJobRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if name is not None:
+            request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[
+            self._client._transport.cancel_metadata_job
+        ]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
     async def list_operations(
         self,
         request: Optional[operations_pb2.ListOperationsRequest] = None,
diff --git a/packages/google-cloud-dataplex/google/cloud/dataplex_v1/services/catalog_service/client.py b/packages/google-cloud-dataplex/google/cloud/dataplex_v1/services/catalog_service/client.py
index 6c5aeb8272cf..9ad66817729a 100644
--- a/packages/google-cloud-dataplex/google/cloud/dataplex_v1/services/catalog_service/client.py
+++ b/packages/google-cloud-dataplex/google/cloud/dataplex_v1/services/catalog_service/client.py
@@ -104,10 +104,10 @@ def get_transport_class(
 
 class CatalogServiceClient(metaclass=CatalogServiceClientMeta):
     """The primary resources offered by this service are
-    EntryGroups, EntryTypes, AspectTypes, Entry and Aspect which
-    collectively allow a data administrator to organize, manage,
-    secure and catalog data across their organization located across
-    cloud projects in a variety of storage systems including Cloud
+    EntryGroups, EntryTypes, AspectTypes, and Entries. They
+    collectively let data administrators organize, manage, secure,
+    and catalog data located across cloud projects in their
+    organization in a variety of storage systems, including Cloud
     Storage and BigQuery.
     """
 
@@ -291,6 +291,30 @@ def parse_entry_type_path(path: str) -> Dict[str, str]:
         )
         return m.groupdict() if m else {}
 
+    @staticmethod
+    def metadata_job_path(
+        project: str,
+        location: str,
+        metadataJob: str,
+    ) -> str:
+        """Returns a fully-qualified metadata_job string."""
+        return (
+            "projects/{project}/locations/{location}/metadataJobs/{metadataJob}".format(
+                project=project,
+                location=location,
+                metadataJob=metadataJob,
+            )
+        )
+
+    @staticmethod
+    def parse_metadata_job_path(path: str) -> Dict[str, str]:
+        """Parses a metadata_job path into its component segments."""
+        m = re.match(
+            r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/metadataJobs/(?P<metadataJob>.+?)$",
+            path,
+        )
+        return m.groupdict() if m else {}
+
     @staticmethod
     def common_billing_account_path(
         billing_account: str,
@@ -740,7 +764,7 @@ def create_entry_type(
         timeout: Union[float, object] = gapic_v1.method.DEFAULT,
         metadata: Sequence[Tuple[str, str]] = (),
     ) -> operation.Operation:
-        r"""Creates an EntryType
+        r"""Creates an EntryType.
 
         .. code-block:: python
 
@@ -775,17 +799,17 @@ def sample_create_entry_type():
 
         Args:
             request (Union[google.cloud.dataplex_v1.types.CreateEntryTypeRequest, dict]):
-                The request object. Create EntryType Request
+                The request object. Create EntryType Request.
             parent (str):
                 Required. The resource name of the EntryType, of the
                 form: projects/{project_number}/locations/{location_id}
-                where ``location_id`` refers to a GCP region.
+                where ``location_id`` refers to a Google Cloud region.
 
                 This corresponds to the ``parent`` field
                 on the ``request`` instance; if ``request`` is provided, this
                 should not be set.
             entry_type (google.cloud.dataplex_v1.types.EntryType):
-                Required. EntryType Resource
+                Required. EntryType Resource.
                 This corresponds to the ``entry_type`` field
                 on the ``request`` instance; if ``request`` is provided, this
                 should not be set.
@@ -874,7 +898,7 @@ def update_entry_type(
         timeout: Union[float, object] = gapic_v1.method.DEFAULT,
         metadata: Sequence[Tuple[str, str]] = (),
     ) -> operation.Operation:
-        r"""Updates a EntryType resource.
+        r"""Updates an EntryType.
 
         .. code-block:: python
 
@@ -907,9 +931,9 @@ def sample_update_entry_type():
 
         Args:
             request (Union[google.cloud.dataplex_v1.types.UpdateEntryTypeRequest, dict]):
-                The request object. Update EntryType Request
+                The request object. Update EntryType Request.
             entry_type (google.cloud.dataplex_v1.types.EntryType):
-                Required. EntryType Resource
+                Required. EntryType Resource.
                 This corresponds to the ``entry_type`` field
                 on the ``request`` instance; if ``request`` is provided, this
                 should not be set.
@@ -997,7 +1021,7 @@ def delete_entry_type(
         timeout: Union[float, object] = gapic_v1.method.DEFAULT,
         metadata: Sequence[Tuple[str, str]] = (),
     ) -> operation.Operation:
-        r"""Deletes a EntryType resource.
+        r"""Deletes an EntryType.
 
         .. code-block:: python
 
@@ -1031,7 +1055,7 @@ def sample_delete_entry_type():
 
         Args:
             request (Union[google.cloud.dataplex_v1.types.DeleteEntryTypeRequest, dict]):
-                The request object. Delele EntryType Request
+                The request object. Delele EntryType Request.
             name (str):
                 Required. The resource name of the EntryType:
                 ``projects/{project_number}/locations/{location_id}/entryTypes/{entry_type_id}``.
@@ -1157,7 +1181,7 @@ def sample_list_entry_types():
                 Required. The resource name of the EntryType location,
                 of the form:
                 ``projects/{project_number}/locations/{location_id}``
-                where ``location_id`` refers to a GCP region.
+                where ``location_id`` refers to a Google Cloud region.
 
                 This corresponds to the ``parent`` field
                 on the ``request`` instance; if ``request`` is provided, this
@@ -1170,7 +1194,7 @@ def sample_list_entry_types():
 
         Returns:
             google.cloud.dataplex_v1.services.catalog_service.pagers.ListEntryTypesPager:
-                List EntryTypes response
+                List EntryTypes response.
 
                 Iterating over this object will yield
                 results and resolve additional pages
@@ -1240,7 +1264,7 @@ def get_entry_type(
         timeout: Union[float, object] = gapic_v1.method.DEFAULT,
         metadata: Sequence[Tuple[str, str]] = (),
     ) -> catalog.EntryType:
-        r"""Retrieves a EntryType resource.
+        r"""Gets an EntryType.
 
         .. code-block:: python
 
@@ -1270,7 +1294,7 @@ def sample_get_entry_type():
 
         Args:
             request (Union[google.cloud.dataplex_v1.types.GetEntryTypeRequest, dict]):
-                The request object. Get EntryType request
+                The request object. Get EntryType request.
             name (str):
                 Required. The resource name of the EntryType:
                 ``projects/{project_number}/locations/{location_id}/entryTypes/{entry_type_id}``.
@@ -1344,7 +1368,7 @@ def create_aspect_type(
         timeout: Union[float, object] = gapic_v1.method.DEFAULT,
         metadata: Sequence[Tuple[str, str]] = (),
     ) -> operation.Operation:
-        r"""Creates an AspectType
+        r"""Creates an AspectType.
 
         .. code-block:: python
 
@@ -1384,17 +1408,17 @@ def sample_create_aspect_type():
 
         Args:
             request (Union[google.cloud.dataplex_v1.types.CreateAspectTypeRequest, dict]):
-                The request object. Create AspectType Request
+                The request object. Create AspectType Request.
             parent (str):
                 Required. The resource name of the AspectType, of the
                 form: projects/{project_number}/locations/{location_id}
-                where ``location_id`` refers to a GCP region.
+                where ``location_id`` refers to a Google Cloud region.
 
                 This corresponds to the ``parent`` field
                 on the ``request`` instance; if ``request`` is provided, this
                 should not be set.
             aspect_type (google.cloud.dataplex_v1.types.AspectType):
-                Required. AspectType Resource
+                Required. AspectType Resource.
                 This corresponds to the ``aspect_type`` field
                 on the ``request`` instance; if ``request`` is provided, this
                 should not be set.
@@ -1413,9 +1437,9 @@ def sample_create_aspect_type():
             google.api_core.operation.Operation:
                 An object representing a long-running operation.
 
-                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.AspectType` Aspect Type is a template for creating Aspects, and represents the
-                   JSON-schema for a given Entry, e.g., BigQuery Table
-                   Schema.
+                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.AspectType` AspectType is a template for creating Aspects, and represents the
+                   JSON-schema for a given Entry, for example, BigQuery
+                   Table Schema.
 
         """
         # Create or coerce a protobuf request object.
@@ -1483,7 +1507,7 @@ def update_aspect_type(
         timeout: Union[float, object] = gapic_v1.method.DEFAULT,
         metadata: Sequence[Tuple[str, str]] = (),
     ) -> operation.Operation:
-        r"""Updates a AspectType resource.
+        r"""Updates an AspectType.
 
         .. code-block:: python
 
@@ -1542,9 +1566,9 @@ def sample_update_aspect_type():
             google.api_core.operation.Operation:
                 An object representing a long-running operation.
 
-                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.AspectType` Aspect Type is a template for creating Aspects, and represents the
-                   JSON-schema for a given Entry, e.g., BigQuery Table
-                   Schema.
+                The result type for the operation will be :class:`google.cloud.dataplex_v1.types.AspectType` AspectType is a template for creating Aspects, and represents the
+                   JSON-schema for a given Entry, for example, BigQuery
+                   Table Schema.
 
         """
         # Create or coerce a protobuf request object.
@@ -1611,7 +1635,7 @@ def delete_aspect_type(
         timeout: Union[float, object] = gapic_v1.method.DEFAULT,
         metadata: Sequence[Tuple[str, str]] = (),
     ) -> operation.Operation:
-        r"""Deletes a AspectType resource.
+        r"""Deletes an AspectType.
 
         .. code-block:: python
 
@@ -1645,7 +1669,7 @@ def sample_delete_aspect_type():
 
         Args:
             request (Union[google.cloud.dataplex_v1.types.DeleteAspectTypeRequest, dict]):
-                The request object. Delele AspectType Request
+                The request object. Delele AspectType Request.
             name (str):
                 Required. The resource name of the AspectType:
                 ``projects/{project_number}/locations/{location_id}/aspectTypes/{aspect_type_id}``.
@@ -1766,12 +1790,12 @@ def sample_list_aspect_types():
 
         Args:
             request (Union[google.cloud.dataplex_v1.types.ListAspectTypesRequest, dict]):
-                The request object. List AspectTypes request
+                The request object. List AspectTypes request.
             parent (str):
                 Required. The resource name of the AspectType location,
                 of the form:
                 ``projects/{project_number}/locations/{location_id}``
-                where ``location_id`` refers to a GCP region.
+                where ``location_id`` refers to a Google Cloud region.
 
                 This corresponds to the ``parent`` field
                 on the ``request`` instance; if ``request`` is provided, this
@@ -1784,7 +1808,7 @@ def sample_list_aspect_types():
 
         Returns:
             google.cloud.dataplex_v1.services.catalog_service.pagers.ListAspectTypesPager:
-                List AspectTypes response
+                List AspectTypes response.
 
                 Iterating over this object will yield
                 results and resolve additional pages
@@ -1854,7 +1878,7 @@ def get_aspect_type(
         timeout: Union[float, object] = gapic_v1.method.DEFAULT,
         metadata: Sequence[Tuple[str, str]] = (),
     ) -> catalog.AspectType:
-        r"""Retrieves a AspectType resource.
+        r"""Gets an AspectType.
 
         .. code-block:: python
 
@@ -1884,7 +1908,7 @@ def sample_get_aspect_type():
 
         Args:
             request (Union[google.cloud.dataplex_v1.types.GetAspectTypeRequest, dict]):
-                The request object. Get AspectType request
+                The request object. Get AspectType request.
             name (str):
                 Required. The resource name of the AspectType:
                 ``projects/{project_number}/locations/{location_id}/aspectTypes/{aspect_type_id}``.
@@ -1900,10 +1924,10 @@ def sample_get_aspect_type():
 
         Returns:
             google.cloud.dataplex_v1.types.AspectType:
-                Aspect Type is a template for
-                creating Aspects, and represents the
-                JSON-schema for a given Entry, e.g.,
-                BigQuery Table Schema.
+                AspectType is a template for creating
+                Aspects, and represents the JSON-schema
+                for a given Entry, for example, BigQuery
+                Table Schema.
 
         """
         # Create or coerce a protobuf request object.
@@ -1960,7 +1984,7 @@ def create_entry_group(
         timeout: Union[float, object] = gapic_v1.method.DEFAULT,
         metadata: Sequence[Tuple[str, str]] = (),
     ) -> operation.Operation:
-        r"""Creates an EntryGroup
+        r"""Creates an EntryGroup.
 
         .. code-block:: python
 
@@ -1995,7 +2019,7 @@ def sample_create_entry_group():
 
         Args:
             request (Union[google.cloud.dataplex_v1.types.CreateEntryGroupRequest, dict]):
-                The request object. Create EntryGroup Request
+                The request object. Create EntryGroup Request.
             parent (str):
                 Required. The resource name of the entryGroup, of the
                 form: projects/{project_number}/locations/{location_id}
@@ -2005,7 +2029,7 @@ def sample_create_entry_group():
                 on the ``request`` instance; if ``request`` is provided, this
                 should not be set.
             entry_group (google.cloud.dataplex_v1.types.EntryGroup):
-                Required. EntryGroup Resource
+                Required. EntryGroup Resource.
                 This corresponds to the ``entry_group`` field
                 on the ``request`` instance; if ``request`` is provided, this
                 should not be set.
@@ -2095,7 +2119,7 @@ def update_entry_group(
         timeout: Union[float, object] = gapic_v1.method.DEFAULT,
         metadata: Sequence[Tuple[str, str]] = (),
     ) -> operation.Operation:
-        r"""Updates a EntryGroup resource.
+        r"""Updates an EntryGroup.
 
         .. code-block:: python
 
@@ -2128,9 +2152,9 @@ def sample_update_entry_group():
 
         Args:
             request (Union[google.cloud.dataplex_v1.types.UpdateEntryGroupRequest, dict]):
-                The request object. Update EntryGroup Request
+                The request object. Update EntryGroup Request.
             entry_group (google.cloud.dataplex_v1.types.EntryGroup):
-                Required. EntryGroup Resource
+                Required. EntryGroup Resource.
                 This corresponds to the ``entry_group`` field
                 on the ``request`` instance; if ``request`` is provided, this
                 should not be set.
@@ -2219,7 +2243,7 @@ def delete_entry_group(
         timeout: Union[float, object] = gapic_v1.method.DEFAULT,
         metadata: Sequence[Tuple[str, str]] = (),
     ) -> operation.Operation:
-        r"""Deletes a EntryGroup resource.
+        r"""Deletes an EntryGroup.
 
         .. code-block:: python
 
@@ -2253,7 +2277,7 @@ def sample_delete_entry_group():
 
         Args:
             request (Union[google.cloud.dataplex_v1.types.DeleteEntryGroupRequest, dict]):
-                The request object. Delele EntryGroup Request
+                The request object. Delete EntryGroup Request.
             name (str):
                 Required. The resource name of the EntryGroup:
                 ``projects/{project_number}/locations/{location_id}/entryGroups/{entry_group_id}``.
@@ -2379,7 +2403,7 @@ def sample_list_entry_groups():
                 Required. The resource name of the entryGroup location,
                 of the form:
                 ``projects/{project_number}/locations/{location_id}``
-                where ``location_id`` refers to a GCP region.
+                where ``location_id`` refers to a Google Cloud region.
 
                 This corresponds to the ``parent`` field
                 on the ``request`` instance; if ``request`` is provided, this
@@ -2392,7 +2416,7 @@ def sample_list_entry_groups():
 
         Returns:
             google.cloud.dataplex_v1.services.catalog_service.pagers.ListEntryGroupsPager:
-                List ListEntryGroups response.
+                List entry groups response.
 
                 Iterating over this object will yield
                 results and resolve additional pages
@@ -2462,7 +2486,7 @@ def get_entry_group(
         timeout: Union[float, object] = gapic_v1.method.DEFAULT,
         metadata: Sequence[Tuple[str, str]] = (),
     ) -> catalog.EntryGroup:
-        r"""Retrieves a EntryGroup resource.
+        r"""Gets an EntryGroup.
 
         .. code-block:: python
 
@@ -2601,7 +2625,7 @@ def sample_create_entry():
 
         Args:
             request (Union[google.cloud.dataplex_v1.types.CreateEntryRequest, dict]):
-                The request object.
+                The request object. Create Entry request.
             parent (str):
                 Required. The resource name of the parent Entry Group:
                 ``projects/{project}/locations/{location}/entryGroups/{entry_group}``.
@@ -2618,22 +2642,23 @@ def sample_create_entry():
                 Required. Entry identifier. It has to be unique within
                 an Entry Group.
 
-                Entries corresponding to Google Cloud resources use
-                Entry ID format based on Full Resource Names
-                (https://cloud.google.com/apis/design/resource_names#full_resource_name).
-                The format is a Full Resource Name of the resource
-                without the prefix double slashes in the API Service
-                Name part of Full Resource Name. This allows retrieval
-                of entries using their associated resource name.
+                Entries corresponding to Google Cloud resources use an
+                Entry ID format based on `full resource
+                names <https://cloud.google.com/apis/design/resource_names#full_resource_name>`__.
+                The format is a full resource name of the resource
+                without the prefix double slashes in the API service
+                name part of the full resource name. This allows
+                retrieval of entries using their associated resource
+                name.
 
-                For example if the Full Resource Name of a resource is
+                For example, if the full resource name of a resource is
                 ``//library.googleapis.com/shelves/shelf1/books/book2``,
                 then the suggested entry_id is
                 ``library.googleapis.com/shelves/shelf1/books/book2``.
 
                 It is also suggested to follow the same convention for
-                entries corresponding to resources from other providers
-                or systems than Google Cloud.
+                entries corresponding to resources from providers or
+                systems other than Google Cloud.
 
                 The maximum size of the field is 4000 characters.
 
@@ -2649,7 +2674,7 @@ def sample_create_entry():
         Returns:
             google.cloud.dataplex_v1.types.Entry:
                 An entry is a representation of a
-                data asset which can be described by
+                data resource that can be described by
                 various metadata.
 
         """
@@ -2743,7 +2768,7 @@ def sample_update_entry():
 
         Args:
             request (Union[google.cloud.dataplex_v1.types.UpdateEntryRequest, dict]):
-                The request object.
+                The request object. Update Entry request.
             entry (google.cloud.dataplex_v1.types.Entry):
                 Required. Entry resource.
                 This corresponds to the ``entry`` field
@@ -2753,8 +2778,8 @@ def sample_update_entry():
                 Optional. Mask of fields to update. To update Aspects,
                 the update_mask must contain the value "aspects".
 
-                If the update_mask is empty, all modifiable fields
-                present in the request will be updated.
+                If the update_mask is empty, the service will update all
+                modifiable fields present in the request.
 
                 This corresponds to the ``update_mask`` field
                 on the ``request`` instance; if ``request`` is provided, this
@@ -2768,7 +2793,7 @@ def sample_update_entry():
         Returns:
             google.cloud.dataplex_v1.types.Entry:
                 An entry is a representation of a
-                data asset which can be described by
+                data resource that can be described by
                 various metadata.
 
         """
@@ -2858,7 +2883,7 @@ def sample_delete_entry():
 
         Args:
             request (Union[google.cloud.dataplex_v1.types.DeleteEntryRequest, dict]):
-                The request object.
+                The request object. Delete Entry request.
             name (str):
                 Required. The resource name of the Entry:
                 ``projects/{project}/locations/{location}/entryGroups/{entry_group}/entries/{entry}``.
@@ -2875,7 +2900,7 @@ def sample_delete_entry():
         Returns:
             google.cloud.dataplex_v1.types.Entry:
                 An entry is a representation of a
-                data asset which can be described by
+                data resource that can be described by
                 various metadata.
 
         """
@@ -2931,7 +2956,7 @@ def list_entries(
         timeout: Union[float, object] = gapic_v1.method.DEFAULT,
         metadata: Sequence[Tuple[str, str]] = (),
     ) -> pagers.ListEntriesPager:
-        r"""Lists entries within an entry group.
+        r"""Lists Entries within an EntryGroup.
 
         .. code-block:: python
 
@@ -2962,7 +2987,7 @@ def sample_list_entries():
 
         Args:
             request (Union[google.cloud.dataplex_v1.types.ListEntriesRequest, dict]):
-                The request object.
+                The request object. List Entries request.
             parent (str):
                 Required. The resource name of the parent Entry Group:
                 ``projects/{project}/locations/{location}/entryGroups/{entry_group}``.
@@ -2978,6 +3003,8 @@ def sample_list_entries():
 
         Returns:
             google.cloud.dataplex_v1.services.catalog_service.pagers.ListEntriesPager:
+                List Entries response.
+
                 Iterating over this object will yield
                 results and resolve additional pages
                 automatically.
@@ -3046,7 +3073,12 @@ def get_entry(
         timeout: Union[float, object] = gapic_v1.method.DEFAULT,
         metadata: Sequence[Tuple[str, str]] = (),
     ) -> catalog.Entry:
-        r"""Gets a single entry.
+        r"""Gets an Entry.
+
+        **Caution**: The BigQuery metadata that is stored in Dataplex
+        Catalog is changing. For more information, see `Changes to
+        BigQuery metadata stored in Dataplex
+        Catalog <https://cloud.google.com/dataplex/docs/biqquery-metadata-changes>`__.
 
         .. code-block:: python
 
@@ -3076,7 +3108,7 @@ def sample_get_entry():
 
         Args:
             request (Union[google.cloud.dataplex_v1.types.GetEntryRequest, dict]):
-                The request object.
+                The request object. Get Entry request.
             name (str):
                 Required. The resource name of the Entry:
                 ``projects/{project}/locations/{location}/entryGroups/{entry_group}/entries/{entry}``.
@@ -3093,7 +3125,7 @@ def sample_get_entry():
         Returns:
             google.cloud.dataplex_v1.types.Entry:
                 An entry is a representation of a
-                data asset which can be described by
+                data resource that can be described by
                 various metadata.
 
         """
@@ -3148,7 +3180,13 @@ def lookup_entry(
         timeout: Union[float, object] = gapic_v1.method.DEFAULT,
         metadata: Sequence[Tuple[str, str]] = (),
     ) -> catalog.Entry:
-        r"""Looks up a single entry.
+        r"""Looks up a single Entry by name using the permission on the
+        source system.
+
+        **Caution**: The BigQuery metadata that is stored in Dataplex
+        Catalog is changing. For more information, see `Changes to
+        BigQuery metadata stored in Dataplex
+        Catalog <https://cloud.google.com/dataplex/docs/biqquery-metadata-changes>`__.
 
         .. code-block:: python
 
@@ -3179,7 +3217,8 @@ def sample_lookup_entry():
 
         Args:
             request (Union[google.cloud.dataplex_v1.types.LookupEntryRequest, dict]):
-                The request object.
+                The request object. Lookup Entry request using
+                permissions in the source system.
             retry (google.api_core.retry.Retry): Designation of what errors, if any,
                 should be retried.
             timeout (float): The timeout for this request.
@@ -3189,7 +3228,7 @@ def sample_lookup_entry():
         Returns:
             google.cloud.dataplex_v1.types.Entry:
                 An entry is a representation of a
-                data asset which can be described by
+                data resource that can be described by
                 various metadata.
 
         """
@@ -3233,7 +3272,8 @@ def search_entries(
         timeout: Union[float, object] = gapic_v1.method.DEFAULT,
         metadata: Sequence[Tuple[str, str]] = (),
     ) -> pagers.SearchEntriesPager:
-        r"""Searches for entries matching given query and scope.
+        r"""Searches for Entries matching the given query and
+        scope.
 
         .. code-block:: python
 
@@ -3350,6 +3390,467 @@ def sample_search_entries():
         # Done; return the response.
         return response
 
+    def create_metadata_job(
+        self,
+        request: Optional[Union[catalog.CreateMetadataJobRequest, dict]] = None,
+        *,
+        parent: Optional[str] = None,
+        metadata_job: Optional[catalog.MetadataJob] = None,
+        metadata_job_id: Optional[str] = None,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> operation.Operation:
+        r"""Creates a metadata job. For example, use a metadata
+        job to import Dataplex Catalog entries and aspects from
+        a third-party system into Dataplex.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_create_metadata_job():
+                # Create a client
+                client = dataplex_v1.CatalogServiceClient()
+
+                # Initialize request argument(s)
+                metadata_job = dataplex_v1.MetadataJob()
+                metadata_job.import_spec.scope.entry_groups = ['entry_groups_value1', 'entry_groups_value2']
+                metadata_job.import_spec.scope.entry_types = ['entry_types_value1', 'entry_types_value2']
+                metadata_job.import_spec.entry_sync_mode = "INCREMENTAL"
+                metadata_job.import_spec.aspect_sync_mode = "INCREMENTAL"
+                metadata_job.type_ = "IMPORT"
+
+                request = dataplex_v1.CreateMetadataJobRequest(
+                    parent="parent_value",
+                    metadata_job=metadata_job,
+                )
+
+                # Make the request
+                operation = client.create_metadata_job(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = operation.result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.CreateMetadataJobRequest, dict]):
+                The request object. Create metadata job request.
+            parent (str):
+                Required. The resource name of the parent location, in
+                the format
+                ``projects/{project_id_or_number}/locations/{location_id}``
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            metadata_job (google.cloud.dataplex_v1.types.MetadataJob):
+                Required. The metadata job resource.
+                This corresponds to the ``metadata_job`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            metadata_job_id (str):
+                Optional. The metadata job ID. If not provided, a unique
+                ID is generated with the prefix ``metadata-job-``.
+
+                This corresponds to the ``metadata_job_id`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation.Operation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be
+                :class:`google.cloud.dataplex_v1.types.MetadataJob` A
+                metadata job resource.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent, metadata_job, metadata_job_id])
+        if request is not None and has_flattened_params:
+            raise ValueError(
+                "If the `request` argument is set, then none of "
+                "the individual field arguments should be set."
+            )
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.CreateMetadataJobRequest):
+            request = catalog.CreateMetadataJobRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if parent is not None:
+                request.parent = parent
+            if metadata_job is not None:
+                request.metadata_job = metadata_job
+            if metadata_job_id is not None:
+                request.metadata_job_id = metadata_job_id
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.create_metadata_job]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation.from_gapic(
+            response,
+            self._transport.operations_client,
+            catalog.MetadataJob,
+            metadata_type=service.OperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def get_metadata_job(
+        self,
+        request: Optional[Union[catalog.GetMetadataJobRequest, dict]] = None,
+        *,
+        name: Optional[str] = None,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> catalog.MetadataJob:
+        r"""Gets a metadata job.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_get_metadata_job():
+                # Create a client
+                client = dataplex_v1.CatalogServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.GetMetadataJobRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                response = client.get_metadata_job(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.GetMetadataJobRequest, dict]):
+                The request object. Get metadata job request.
+            name (str):
+                Required. The resource name of the metadata job, in the
+                format
+                ``projects/{project_id_or_number}/locations/{location_id}/metadataJobs/{metadata_job_id}``.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.types.MetadataJob:
+                A metadata job resource.
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError(
+                "If the `request` argument is set, then none of "
+                "the individual field arguments should be set."
+            )
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.GetMetadataJobRequest):
+            request = catalog.GetMetadataJobRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if name is not None:
+                request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.get_metadata_job]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def list_metadata_jobs(
+        self,
+        request: Optional[Union[catalog.ListMetadataJobsRequest, dict]] = None,
+        *,
+        parent: Optional[str] = None,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> pagers.ListMetadataJobsPager:
+        r"""Lists metadata jobs.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_list_metadata_jobs():
+                # Create a client
+                client = dataplex_v1.CatalogServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.ListMetadataJobsRequest(
+                    parent="parent_value",
+                )
+
+                # Make the request
+                page_result = client.list_metadata_jobs(request=request)
+
+                # Handle the response
+                for response in page_result:
+                    print(response)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.ListMetadataJobsRequest, dict]):
+                The request object. List metadata jobs request.
+            parent (str):
+                Required. The resource name of the parent location, in
+                the format
+                ``projects/{project_id_or_number}/locations/{location_id}``
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.dataplex_v1.services.catalog_service.pagers.ListMetadataJobsPager:
+                List metadata jobs response.
+
+                Iterating over this object will yield
+                results and resolve additional pages
+                automatically.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent])
+        if request is not None and has_flattened_params:
+            raise ValueError(
+                "If the `request` argument is set, then none of "
+                "the individual field arguments should be set."
+            )
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.ListMetadataJobsRequest):
+            request = catalog.ListMetadataJobsRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if parent is not None:
+                request.parent = parent
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.list_metadata_jobs]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # This method is paged; wrap the response in a pager, which provides
+        # an `__iter__` convenience method.
+        response = pagers.ListMetadataJobsPager(
+            method=rpc,
+            request=request,
+            response=response,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def cancel_metadata_job(
+        self,
+        request: Optional[Union[catalog.CancelMetadataJobRequest, dict]] = None,
+        *,
+        name: Optional[str] = None,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> None:
+        r"""Cancels a metadata job.
+
+        If you cancel a metadata import job that is in progress,
+        the changes in the job might be partially applied. We
+        recommend that you reset the state of the entry groups
+        in your project by running another metadata job that
+        reverts the changes from the canceled job.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dataplex_v1
+
+            def sample_cancel_metadata_job():
+                # Create a client
+                client = dataplex_v1.CatalogServiceClient()
+
+                # Initialize request argument(s)
+                request = dataplex_v1.CancelMetadataJobRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                client.cancel_metadata_job(request=request)
+
+        Args:
+            request (Union[google.cloud.dataplex_v1.types.CancelMetadataJobRequest, dict]):
+                The request object. Cancel metadata job request.
+            name (str):
+                Required. The resource name of the job, in the format
+                ``projects/{project_id_or_number}/locations/{location_id}/metadataJobs/{metadata_job_id}``
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError(
+                "If the `request` argument is set, then none of "
+                "the individual field arguments should be set."
+            )
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, catalog.CancelMetadataJobRequest):
+            request = catalog.CancelMetadataJobRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if name is not None:
+                request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.cancel_metadata_job]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
     def __enter__(self) -> "CatalogServiceClient":
         return self
 
diff --git a/packages/google-cloud-dataplex/google/cloud/dataplex_v1/services/catalog_service/pagers.py b/packages/google-cloud-dataplex/google/cloud/dataplex_v1/services/catalog_service/pagers.py
index 48a7fc8b34a7..27874bec60df 100644
--- a/packages/google-cloud-dataplex/google/cloud/dataplex_v1/services/catalog_service/pagers.py
+++ b/packages/google-cloud-dataplex/google/cloud/dataplex_v1/services/catalog_service/pagers.py
@@ -799,3 +799,155 @@ async def async_generator():
 
     def __repr__(self) -> str:
         return "{0}<{1!r}>".format(self.__class__.__name__, self._response)
+
+
+class ListMetadataJobsPager:
+    """A pager for iterating through ``list_metadata_jobs`` requests.
+
+    This class thinly wraps an initial
+    :class:`google.cloud.dataplex_v1.types.ListMetadataJobsResponse` object, and
+    provides an ``__iter__`` method to iterate through its
+    ``metadata_jobs`` field.
+
+    If there are more pages, the ``__iter__`` method will make additional
+    ``ListMetadataJobs`` requests and continue to iterate
+    through the ``metadata_jobs`` field on the
+    corresponding responses.
+
+    All the usual :class:`google.cloud.dataplex_v1.types.ListMetadataJobsResponse`
+    attributes are available on the pager. If multiple requests are made, only
+    the most recent response is retained, and thus used for attribute lookup.
+    """
+
+    def __init__(
+        self,
+        method: Callable[..., catalog.ListMetadataJobsResponse],
+        request: catalog.ListMetadataJobsRequest,
+        response: catalog.ListMetadataJobsResponse,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = ()
+    ):
+        """Instantiate the pager.
+
+        Args:
+            method (Callable): The method that was originally called, and
+                which instantiated this pager.
+            request (google.cloud.dataplex_v1.types.ListMetadataJobsRequest):
+                The initial request object.
+            response (google.cloud.dataplex_v1.types.ListMetadataJobsResponse):
+                The initial response object.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        self._method = method
+        self._request = catalog.ListMetadataJobsRequest(request)
+        self._response = response
+        self._retry = retry
+        self._timeout = timeout
+        self._metadata = metadata
+
+    def __getattr__(self, name: str) -> Any:
+        return getattr(self._response, name)
+
+    @property
+    def pages(self) -> Iterator[catalog.ListMetadataJobsResponse]:
+        yield self._response
+        while self._response.next_page_token:
+            self._request.page_token = self._response.next_page_token
+            self._response = self._method(
+                self._request,
+                retry=self._retry,
+                timeout=self._timeout,
+                metadata=self._metadata,
+            )
+            yield self._response
+
+    def __iter__(self) -> Iterator[catalog.MetadataJob]:
+        for page in self.pages:
+            yield from page.metadata_jobs
+
+    def __repr__(self) -> str:
+        return "{0}<{1!r}>".format(self.__class__.__name__, self._response)
+
+
+class ListMetadataJobsAsyncPager:
+    """A pager for iterating through ``list_metadata_jobs`` requests.
+
+    This class thinly wraps an initial
+    :class:`google.cloud.dataplex_v1.types.ListMetadataJobsResponse` object, and
+    provides an ``__aiter__`` method to iterate through its
+    ``metadata_jobs`` field.
+
+    If there are more pages, the ``__aiter__`` method will make additional
+    ``ListMetadataJobs`` requests and continue to iterate
+    through the ``metadata_jobs`` field on the
+    corresponding responses.
+
+    All the usual :class:`google.cloud.dataplex_v1.types.ListMetadataJobsResponse`
+    attributes are available on the pager. If multiple requests are made, only
+    the most recent response is retained, and thus used for attribute lookup.
+    """
+
+    def __init__(
+        self,
+        method: Callable[..., Awaitable[catalog.ListMetadataJobsResponse]],
+        request: catalog.ListMetadataJobsRequest,
+        response: catalog.ListMetadataJobsResponse,
+        *,
+        retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = ()
+    ):
+        """Instantiates the pager.
+
+        Args:
+            method (Callable): The method that was originally called, and
+                which instantiated this pager.
+            request (google.cloud.dataplex_v1.types.ListMetadataJobsRequest):
+                The initial request object.
+            response (google.cloud.dataplex_v1.types.ListMetadataJobsResponse):
+                The initial response object.
+            retry (google.api_core.retry.AsyncRetry): Designation of what errors,
+                if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        """
+        self._method = method
+        self._request = catalog.ListMetadataJobsRequest(request)
+        self._response = response
+        self._retry = retry
+        self._timeout = timeout
+        self._metadata = metadata
+
+    def __getattr__(self, name: str) -> Any:
+        return getattr(self._response, name)
+
+    @property
+    async def pages(self) -> AsyncIterator[catalog.ListMetadataJobsResponse]:
+        yield self._response
+        while self._response.next_page_token:
+            self._request.page_token = self._response.next_page_token
+            self._response = await self._method(
+                self._request,
+                retry=self._retry,
+                timeout=self._timeout,
+                metadata=self._metadata,
+            )
+            yield self._response
+
+    def __aiter__(self) -> AsyncIterator[catalog.MetadataJob]:
+        async def async_generator():
+            async for page in self.pages:
+                for response in page.metadata_jobs:
+                    yield response
+
+        return async_generator()
+
+    def __repr__(self) -> str:
+        return "{0}<{1!r}>".format(self.__class__.__name__, self._response)
diff --git a/packages/google-cloud-dataplex/google/cloud/dataplex_v1/services/catalog_service/transports/base.py b/packages/google-cloud-dataplex/google/cloud/dataplex_v1/services/catalog_service/transports/base.py
index 7e054f2e5a81..eb6d4b7b6619 100644
--- a/packages/google-cloud-dataplex/google/cloud/dataplex_v1/services/catalog_service/transports/base.py
+++ b/packages/google-cloud-dataplex/google/cloud/dataplex_v1/services/catalog_service/transports/base.py
@@ -27,6 +27,7 @@
 from google.iam.v1 import policy_pb2  # type: ignore
 from google.longrunning import operations_pb2  # type: ignore
 from google.oauth2 import service_account  # type: ignore
+from google.protobuf import empty_pb2  # type: ignore
 
 from google.cloud.dataplex_v1 import gapic_version as package_version
 from google.cloud.dataplex_v1.types import catalog
@@ -352,6 +353,26 @@ def _prep_wrapped_messages(self, client_info):
                 default_timeout=60.0,
                 client_info=client_info,
             ),
+            self.create_metadata_job: gapic_v1.method.wrap_method(
+                self.create_metadata_job,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.get_metadata_job: gapic_v1.method.wrap_method(
+                self.get_metadata_job,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.list_metadata_jobs: gapic_v1.method.wrap_method(
+                self.list_metadata_jobs,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.cancel_metadata_job: gapic_v1.method.wrap_method(
+                self.cancel_metadata_job,
+                default_timeout=None,
+                client_info=client_info,
+            ),
             self.get_location: gapic_v1.method.wrap_method(
                 self.get_location,
                 default_timeout=None,
@@ -597,6 +618,45 @@ def search_entries(
     ]:
         raise NotImplementedError()
 
+    @property
+    def create_metadata_job(
+        self,
+    ) -> Callable[
+        [catalog.CreateMetadataJobRequest],
+        Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]],
+    ]:
+        raise NotImplementedError()
+
+    @property
+    def get_metadata_job(
+        self,
+    ) -> Callable[
+        [catalog.GetMetadataJobRequest],
+        Union[catalog.MetadataJob, Awaitable[catalog.MetadataJob]],
+    ]:
+        raise NotImplementedError()
+
+    @property
+    def list_metadata_jobs(
+        self,
+    ) -> Callable[
+        [catalog.ListMetadataJobsRequest],
+        Union[
+            catalog.ListMetadataJobsResponse,
+            Awaitable[catalog.ListMetadataJobsResponse],
+        ],
+    ]:
+        raise NotImplementedError()
+
+    @property
+    def cancel_metadata_job(
+        self,
+    ) -> Callable[
+        [catalog.CancelMetadataJobRequest],
+        Union[empty_pb2.Empty, Awaitable[empty_pb2.Empty]],
+    ]:
+        raise NotImplementedError()
+
     @property
     def list_operations(
         self,
diff --git a/packages/google-cloud-dataplex/google/cloud/dataplex_v1/services/catalog_service/transports/grpc.py b/packages/google-cloud-dataplex/google/cloud/dataplex_v1/services/catalog_service/transports/grpc.py
index 200495c0c780..5cf9af6bd86e 100644
--- a/packages/google-cloud-dataplex/google/cloud/dataplex_v1/services/catalog_service/transports/grpc.py
+++ b/packages/google-cloud-dataplex/google/cloud/dataplex_v1/services/catalog_service/transports/grpc.py
@@ -24,6 +24,7 @@
 from google.iam.v1 import iam_policy_pb2  # type: ignore
 from google.iam.v1 import policy_pb2  # type: ignore
 from google.longrunning import operations_pb2  # type: ignore
+from google.protobuf import empty_pb2  # type: ignore
 import grpc  # type: ignore
 
 from google.cloud.dataplex_v1.types import catalog
@@ -35,10 +36,10 @@ class CatalogServiceGrpcTransport(CatalogServiceTransport):
     """gRPC backend transport for CatalogService.
 
     The primary resources offered by this service are
-    EntryGroups, EntryTypes, AspectTypes, Entry and Aspect which
-    collectively allow a data administrator to organize, manage,
-    secure and catalog data across their organization located across
-    cloud projects in a variety of storage systems including Cloud
+    EntryGroups, EntryTypes, AspectTypes, and Entries. They
+    collectively let data administrators organize, manage, secure,
+    and catalog data located across cloud projects in their
+    organization in a variety of storage systems, including Cloud
     Storage and BigQuery.
 
     This class defines the same methods as the primary client, so the
@@ -264,7 +265,7 @@ def create_entry_type(
     ) -> Callable[[catalog.CreateEntryTypeRequest], operations_pb2.Operation]:
         r"""Return a callable for the create entry type method over gRPC.
 
-        Creates an EntryType
+        Creates an EntryType.
 
         Returns:
             Callable[[~.CreateEntryTypeRequest],
@@ -290,7 +291,7 @@ def update_entry_type(
     ) -> Callable[[catalog.UpdateEntryTypeRequest], operations_pb2.Operation]:
         r"""Return a callable for the update entry type method over gRPC.
 
-        Updates a EntryType resource.
+        Updates an EntryType.
 
         Returns:
             Callable[[~.UpdateEntryTypeRequest],
@@ -316,7 +317,7 @@ def delete_entry_type(
     ) -> Callable[[catalog.DeleteEntryTypeRequest], operations_pb2.Operation]:
         r"""Return a callable for the delete entry type method over gRPC.
 
-        Deletes a EntryType resource.
+        Deletes an EntryType.
 
         Returns:
             Callable[[~.DeleteEntryTypeRequest],
@@ -368,7 +369,7 @@ def get_entry_type(
     ) -> Callable[[catalog.GetEntryTypeRequest], catalog.EntryType]:
         r"""Return a callable for the get entry type method over gRPC.
 
-        Retrieves a EntryType resource.
+        Gets an EntryType.
 
         Returns:
             Callable[[~.GetEntryTypeRequest],
@@ -394,7 +395,7 @@ def create_aspect_type(
     ) -> Callable[[catalog.CreateAspectTypeRequest], operations_pb2.Operation]:
         r"""Return a callable for the create aspect type method over gRPC.
 
-        Creates an AspectType
+        Creates an AspectType.
 
         Returns:
             Callable[[~.CreateAspectTypeRequest],
@@ -420,7 +421,7 @@ def update_aspect_type(
     ) -> Callable[[catalog.UpdateAspectTypeRequest], operations_pb2.Operation]:
         r"""Return a callable for the update aspect type method over gRPC.
 
-        Updates a AspectType resource.
+        Updates an AspectType.
 
         Returns:
             Callable[[~.UpdateAspectTypeRequest],
@@ -446,7 +447,7 @@ def delete_aspect_type(
     ) -> Callable[[catalog.DeleteAspectTypeRequest], operations_pb2.Operation]:
         r"""Return a callable for the delete aspect type method over gRPC.
 
-        Deletes a AspectType resource.
+        Deletes an AspectType.
 
         Returns:
             Callable[[~.DeleteAspectTypeRequest],
@@ -498,7 +499,7 @@ def get_aspect_type(
     ) -> Callable[[catalog.GetAspectTypeRequest], catalog.AspectType]:
         r"""Return a callable for the get aspect type method over gRPC.
 
-        Retrieves a AspectType resource.
+        Gets an AspectType.
 
         Returns:
             Callable[[~.GetAspectTypeRequest],
@@ -524,7 +525,7 @@ def create_entry_group(
     ) -> Callable[[catalog.CreateEntryGroupRequest], operations_pb2.Operation]:
         r"""Return a callable for the create entry group method over gRPC.
 
-        Creates an EntryGroup
+        Creates an EntryGroup.
 
         Returns:
             Callable[[~.CreateEntryGroupRequest],
@@ -550,7 +551,7 @@ def update_entry_group(
     ) -> Callable[[catalog.UpdateEntryGroupRequest], operations_pb2.Operation]:
         r"""Return a callable for the update entry group method over gRPC.
 
-        Updates a EntryGroup resource.
+        Updates an EntryGroup.
 
         Returns:
             Callable[[~.UpdateEntryGroupRequest],
@@ -576,7 +577,7 @@ def delete_entry_group(
     ) -> Callable[[catalog.DeleteEntryGroupRequest], operations_pb2.Operation]:
         r"""Return a callable for the delete entry group method over gRPC.
 
-        Deletes a EntryGroup resource.
+        Deletes an EntryGroup.
 
         Returns:
             Callable[[~.DeleteEntryGroupRequest],
@@ -628,7 +629,7 @@ def get_entry_group(
     ) -> Callable[[catalog.GetEntryGroupRequest], catalog.EntryGroup]:
         r"""Return a callable for the get entry group method over gRPC.
 
-        Retrieves a EntryGroup resource.
+        Gets an EntryGroup.
 
         Returns:
             Callable[[~.GetEntryGroupRequest],
@@ -726,7 +727,7 @@ def list_entries(
     ) -> Callable[[catalog.ListEntriesRequest], catalog.ListEntriesResponse]:
         r"""Return a callable for the list entries method over gRPC.
 
-        Lists entries within an entry group.
+        Lists Entries within an EntryGroup.
 
         Returns:
             Callable[[~.ListEntriesRequest],
@@ -750,7 +751,12 @@ def list_entries(
     def get_entry(self) -> Callable[[catalog.GetEntryRequest], catalog.Entry]:
         r"""Return a callable for the get entry method over gRPC.
 
-        Gets a single entry.
+        Gets an Entry.
+
+        **Caution**: The BigQuery metadata that is stored in Dataplex
+        Catalog is changing. For more information, see `Changes to
+        BigQuery metadata stored in Dataplex
+        Catalog <https://cloud.google.com/dataplex/docs/biqquery-metadata-changes>`__.
 
         Returns:
             Callable[[~.GetEntryRequest],
@@ -774,7 +780,13 @@ def get_entry(self) -> Callable[[catalog.GetEntryRequest], catalog.Entry]:
     def lookup_entry(self) -> Callable[[catalog.LookupEntryRequest], catalog.Entry]:
         r"""Return a callable for the lookup entry method over gRPC.
 
-        Looks up a single entry.
+        Looks up a single Entry by name using the permission on the
+        source system.
+
+        **Caution**: The BigQuery metadata that is stored in Dataplex
+        Catalog is changing. For more information, see `Changes to
+        BigQuery metadata stored in Dataplex
+        Catalog <https://cloud.google.com/dataplex/docs/biqquery-metadata-changes>`__.
 
         Returns:
             Callable[[~.LookupEntryRequest],
@@ -800,7 +812,8 @@ def search_entries(
     ) -> Callable[[catalog.SearchEntriesRequest], catalog.SearchEntriesResponse]:
         r"""Return a callable for the search entries method over gRPC.
 
-        Searches for entries matching given query and scope.
+        Searches for Entries matching the given query and
+        scope.
 
         Returns:
             Callable[[~.SearchEntriesRequest],
@@ -820,6 +833,118 @@ def search_entries(
             )
         return self._stubs["search_entries"]
 
+    @property
+    def create_metadata_job(
+        self,
+    ) -> Callable[[catalog.CreateMetadataJobRequest], operations_pb2.Operation]:
+        r"""Return a callable for the create metadata job method over gRPC.
+
+        Creates a metadata job. For example, use a metadata
+        job to import Dataplex Catalog entries and aspects from
+        a third-party system into Dataplex.
+
+        Returns:
+            Callable[[~.CreateMetadataJobRequest],
+                    ~.Operation]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "create_metadata_job" not in self._stubs:
+            self._stubs["create_metadata_job"] = self.grpc_channel.unary_unary(
+                "/google.cloud.dataplex.v1.CatalogService/CreateMetadataJob",
+                request_serializer=catalog.CreateMetadataJobRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs["create_metadata_job"]
+
+    @property
+    def get_metadata_job(
+        self,
+    ) -> Callable[[catalog.GetMetadataJobRequest], catalog.MetadataJob]:
+        r"""Return a callable for the get metadata job method over gRPC.
+
+        Gets a metadata job.
+
+        Returns:
+            Callable[[~.GetMetadataJobRequest],
+                    ~.MetadataJob]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "get_metadata_job" not in self._stubs:
+            self._stubs["get_metadata_job"] = self.grpc_channel.unary_unary(
+                "/google.cloud.dataplex.v1.CatalogService/GetMetadataJob",
+                request_serializer=catalog.GetMetadataJobRequest.serialize,
+                response_deserializer=catalog.MetadataJob.deserialize,
+            )
+        return self._stubs["get_metadata_job"]
+
+    @property
+    def list_metadata_jobs(
+        self,
+    ) -> Callable[[catalog.ListMetadataJobsRequest], catalog.ListMetadataJobsResponse]:
+        r"""Return a callable for the list metadata jobs method over gRPC.
+
+        Lists metadata jobs.
+
+        Returns:
+            Callable[[~.ListMetadataJobsRequest],
+                    ~.ListMetadataJobsResponse]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "list_metadata_jobs" not in self._stubs:
+            self._stubs["list_metadata_jobs"] = self.grpc_channel.unary_unary(
+                "/google.cloud.dataplex.v1.CatalogService/ListMetadataJobs",
+                request_serializer=catalog.ListMetadataJobsRequest.serialize,
+                response_deserializer=catalog.ListMetadataJobsResponse.deserialize,
+            )
+        return self._stubs["list_metadata_jobs"]
+
+    @property
+    def cancel_metadata_job(
+        self,
+    ) -> Callable[[catalog.CancelMetadataJobRequest], empty_pb2.Empty]:
+        r"""Return a callable for the cancel metadata job method over gRPC.
+
+        Cancels a metadata job.
+
+        If you cancel a metadata import job that is in progress,
+        the changes in the job might be partially applied. We
+        recommend that you reset the state of the entry groups
+        in your project by running another metadata job that
+        reverts the changes from the canceled job.
+
+        Returns:
+            Callable[[~.CancelMetadataJobRequest],
+                    ~.Empty]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "cancel_metadata_job" not in self._stubs:
+            self._stubs["cancel_metadata_job"] = self.grpc_channel.unary_unary(
+                "/google.cloud.dataplex.v1.CatalogService/CancelMetadataJob",
+                request_serializer=catalog.CancelMetadataJobRequest.serialize,
+                response_deserializer=empty_pb2.Empty.FromString,
+            )
+        return self._stubs["cancel_metadata_job"]
+
     def close(self):
         self.grpc_channel.close()
 
diff --git a/packages/google-cloud-dataplex/google/cloud/dataplex_v1/services/catalog_service/transports/grpc_asyncio.py b/packages/google-cloud-dataplex/google/cloud/dataplex_v1/services/catalog_service/transports/grpc_asyncio.py
index 1e62bdf0763f..6ff45ba84779 100644
--- a/packages/google-cloud-dataplex/google/cloud/dataplex_v1/services/catalog_service/transports/grpc_asyncio.py
+++ b/packages/google-cloud-dataplex/google/cloud/dataplex_v1/services/catalog_service/transports/grpc_asyncio.py
@@ -26,6 +26,7 @@
 from google.iam.v1 import iam_policy_pb2  # type: ignore
 from google.iam.v1 import policy_pb2  # type: ignore
 from google.longrunning import operations_pb2  # type: ignore
+from google.protobuf import empty_pb2  # type: ignore
 import grpc  # type: ignore
 from grpc.experimental import aio  # type: ignore
 
@@ -39,10 +40,10 @@ class CatalogServiceGrpcAsyncIOTransport(CatalogServiceTransport):
     """gRPC AsyncIO backend transport for CatalogService.
 
     The primary resources offered by this service are
-    EntryGroups, EntryTypes, AspectTypes, Entry and Aspect which
-    collectively allow a data administrator to organize, manage,
-    secure and catalog data across their organization located across
-    cloud projects in a variety of storage systems including Cloud
+    EntryGroups, EntryTypes, AspectTypes, and Entries. They
+    collectively let data administrators organize, manage, secure,
+    and catalog data located across cloud projects in their
+    organization in a variety of storage systems, including Cloud
     Storage and BigQuery.
 
     This class defines the same methods as the primary client, so the
@@ -276,7 +277,7 @@ def create_entry_type(
     ]:
         r"""Return a callable for the create entry type method over gRPC.
 
-        Creates an EntryType
+        Creates an EntryType.
 
         Returns:
             Callable[[~.CreateEntryTypeRequest],
@@ -304,7 +305,7 @@ def update_entry_type(
     ]:
         r"""Return a callable for the update entry type method over gRPC.
 
-        Updates a EntryType resource.
+        Updates an EntryType.
 
         Returns:
             Callable[[~.UpdateEntryTypeRequest],
@@ -332,7 +333,7 @@ def delete_entry_type(
     ]:
         r"""Return a callable for the delete entry type method over gRPC.
 
-        Deletes a EntryType resource.
+        Deletes an EntryType.
 
         Returns:
             Callable[[~.DeleteEntryTypeRequest],
@@ -386,7 +387,7 @@ def get_entry_type(
     ) -> Callable[[catalog.GetEntryTypeRequest], Awaitable[catalog.EntryType]]:
         r"""Return a callable for the get entry type method over gRPC.
 
-        Retrieves a EntryType resource.
+        Gets an EntryType.
 
         Returns:
             Callable[[~.GetEntryTypeRequest],
@@ -414,7 +415,7 @@ def create_aspect_type(
     ]:
         r"""Return a callable for the create aspect type method over gRPC.
 
-        Creates an AspectType
+        Creates an AspectType.
 
         Returns:
             Callable[[~.CreateAspectTypeRequest],
@@ -442,7 +443,7 @@ def update_aspect_type(
     ]:
         r"""Return a callable for the update aspect type method over gRPC.
 
-        Updates a AspectType resource.
+        Updates an AspectType.
 
         Returns:
             Callable[[~.UpdateAspectTypeRequest],
@@ -470,7 +471,7 @@ def delete_aspect_type(
     ]:
         r"""Return a callable for the delete aspect type method over gRPC.
 
-        Deletes a AspectType resource.
+        Deletes an AspectType.
 
         Returns:
             Callable[[~.DeleteAspectTypeRequest],
@@ -524,7 +525,7 @@ def get_aspect_type(
     ) -> Callable[[catalog.GetAspectTypeRequest], Awaitable[catalog.AspectType]]:
         r"""Return a callable for the get aspect type method over gRPC.
 
-        Retrieves a AspectType resource.
+        Gets an AspectType.
 
         Returns:
             Callable[[~.GetAspectTypeRequest],
@@ -552,7 +553,7 @@ def create_entry_group(
     ]:
         r"""Return a callable for the create entry group method over gRPC.
 
-        Creates an EntryGroup
+        Creates an EntryGroup.
 
         Returns:
             Callable[[~.CreateEntryGroupRequest],
@@ -580,7 +581,7 @@ def update_entry_group(
     ]:
         r"""Return a callable for the update entry group method over gRPC.
 
-        Updates a EntryGroup resource.
+        Updates an EntryGroup.
 
         Returns:
             Callable[[~.UpdateEntryGroupRequest],
@@ -608,7 +609,7 @@ def delete_entry_group(
     ]:
         r"""Return a callable for the delete entry group method over gRPC.
 
-        Deletes a EntryGroup resource.
+        Deletes an EntryGroup.
 
         Returns:
             Callable[[~.DeleteEntryGroupRequest],
@@ -662,7 +663,7 @@ def get_entry_group(
     ) -> Callable[[catalog.GetEntryGroupRequest], Awaitable[catalog.EntryGroup]]:
         r"""Return a callable for the get entry group method over gRPC.
 
-        Retrieves a EntryGroup resource.
+        Gets an EntryGroup.
 
         Returns:
             Callable[[~.GetEntryGroupRequest],
@@ -766,7 +767,7 @@ def list_entries(
     ) -> Callable[[catalog.ListEntriesRequest], Awaitable[catalog.ListEntriesResponse]]:
         r"""Return a callable for the list entries method over gRPC.
 
-        Lists entries within an entry group.
+        Lists Entries within an EntryGroup.
 
         Returns:
             Callable[[~.ListEntriesRequest],
@@ -792,7 +793,12 @@ def get_entry(
     ) -> Callable[[catalog.GetEntryRequest], Awaitable[catalog.Entry]]:
         r"""Return a callable for the get entry method over gRPC.
 
-        Gets a single entry.
+        Gets an Entry.
+
+        **Caution**: The BigQuery metadata that is stored in Dataplex
+        Catalog is changing. For more information, see `Changes to
+        BigQuery metadata stored in Dataplex
+        Catalog <https://cloud.google.com/dataplex/docs/biqquery-metadata-changes>`__.
 
         Returns:
             Callable[[~.GetEntryRequest],
@@ -818,7 +824,13 @@ def lookup_entry(
     ) -> Callable[[catalog.LookupEntryRequest], Awaitable[catalog.Entry]]:
         r"""Return a callable for the lookup entry method over gRPC.
 
-        Looks up a single entry.
+        Looks up a single Entry by name using the permission on the
+        source system.
+
+        **Caution**: The BigQuery metadata that is stored in Dataplex
+        Catalog is changing. For more information, see `Changes to
+        BigQuery metadata stored in Dataplex
+        Catalog <https://cloud.google.com/dataplex/docs/biqquery-metadata-changes>`__.
 
         Returns:
             Callable[[~.LookupEntryRequest],
@@ -846,7 +858,8 @@ def search_entries(
     ]:
         r"""Return a callable for the search entries method over gRPC.
 
-        Searches for entries matching given query and scope.
+        Searches for Entries matching the given query and
+        scope.
 
         Returns:
             Callable[[~.SearchEntriesRequest],
@@ -866,6 +879,122 @@ def search_entries(
             )
         return self._stubs["search_entries"]
 
+    @property
+    def create_metadata_job(
+        self,
+    ) -> Callable[
+        [catalog.CreateMetadataJobRequest], Awaitable[operations_pb2.Operation]
+    ]:
+        r"""Return a callable for the create metadata job method over gRPC.
+
+        Creates a metadata job. For example, use a metadata
+        job to import Dataplex Catalog entries and aspects from
+        a third-party system into Dataplex.
+
+        Returns:
+            Callable[[~.CreateMetadataJobRequest],
+                    Awaitable[~.Operation]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "create_metadata_job" not in self._stubs:
+            self._stubs["create_metadata_job"] = self.grpc_channel.unary_unary(
+                "/google.cloud.dataplex.v1.CatalogService/CreateMetadataJob",
+                request_serializer=catalog.CreateMetadataJobRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs["create_metadata_job"]
+
+    @property
+    def get_metadata_job(
+        self,
+    ) -> Callable[[catalog.GetMetadataJobRequest], Awaitable[catalog.MetadataJob]]:
+        r"""Return a callable for the get metadata job method over gRPC.
+
+        Gets a metadata job.
+
+        Returns:
+            Callable[[~.GetMetadataJobRequest],
+                    Awaitable[~.MetadataJob]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "get_metadata_job" not in self._stubs:
+            self._stubs["get_metadata_job"] = self.grpc_channel.unary_unary(
+                "/google.cloud.dataplex.v1.CatalogService/GetMetadataJob",
+                request_serializer=catalog.GetMetadataJobRequest.serialize,
+                response_deserializer=catalog.MetadataJob.deserialize,
+            )
+        return self._stubs["get_metadata_job"]
+
+    @property
+    def list_metadata_jobs(
+        self,
+    ) -> Callable[
+        [catalog.ListMetadataJobsRequest], Awaitable[catalog.ListMetadataJobsResponse]
+    ]:
+        r"""Return a callable for the list metadata jobs method over gRPC.
+
+        Lists metadata jobs.
+
+        Returns:
+            Callable[[~.ListMetadataJobsRequest],
+                    Awaitable[~.ListMetadataJobsResponse]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "list_metadata_jobs" not in self._stubs:
+            self._stubs["list_metadata_jobs"] = self.grpc_channel.unary_unary(
+                "/google.cloud.dataplex.v1.CatalogService/ListMetadataJobs",
+                request_serializer=catalog.ListMetadataJobsRequest.serialize,
+                response_deserializer=catalog.ListMetadataJobsResponse.deserialize,
+            )
+        return self._stubs["list_metadata_jobs"]
+
+    @property
+    def cancel_metadata_job(
+        self,
+    ) -> Callable[[catalog.CancelMetadataJobRequest], Awaitable[empty_pb2.Empty]]:
+        r"""Return a callable for the cancel metadata job method over gRPC.
+
+        Cancels a metadata job.
+
+        If you cancel a metadata import job that is in progress,
+        the changes in the job might be partially applied. We
+        recommend that you reset the state of the entry groups
+        in your project by running another metadata job that
+        reverts the changes from the canceled job.
+
+        Returns:
+            Callable[[~.CancelMetadataJobRequest],
+                    Awaitable[~.Empty]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "cancel_metadata_job" not in self._stubs:
+            self._stubs["cancel_metadata_job"] = self.grpc_channel.unary_unary(
+                "/google.cloud.dataplex.v1.CatalogService/CancelMetadataJob",
+                request_serializer=catalog.CancelMetadataJobRequest.serialize,
+                response_deserializer=empty_pb2.Empty.FromString,
+            )
+        return self._stubs["cancel_metadata_job"]
+
     def _prep_wrapped_messages(self, client_info):
         """Precompute the wrapped methods, overriding the base class method to use async wrappers."""
         self._wrapped_methods = {
@@ -1089,6 +1218,26 @@ def _prep_wrapped_messages(self, client_info):
                 default_timeout=60.0,
                 client_info=client_info,
             ),
+            self.create_metadata_job: self._wrap_method(
+                self.create_metadata_job,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.get_metadata_job: self._wrap_method(
+                self.get_metadata_job,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.list_metadata_jobs: self._wrap_method(
+                self.list_metadata_jobs,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.cancel_metadata_job: self._wrap_method(
+                self.cancel_metadata_job,
+                default_timeout=None,
+                client_info=client_info,
+            ),
             self.get_location: self._wrap_method(
                 self.get_location,
                 default_timeout=None,
diff --git a/packages/google-cloud-dataplex/google/cloud/dataplex_v1/services/data_scan_service/async_client.py b/packages/google-cloud-dataplex/google/cloud/dataplex_v1/services/data_scan_service/async_client.py
index 6ff314334644..c8c5c1eec991 100644
--- a/packages/google-cloud-dataplex/google/cloud/dataplex_v1/services/data_scan_service/async_client.py
+++ b/packages/google-cloud-dataplex/google/cloud/dataplex_v1/services/data_scan_service/async_client.py
@@ -54,6 +54,7 @@
 
 from google.cloud.dataplex_v1.services.data_scan_service import pagers
 from google.cloud.dataplex_v1.types import (
+    data_discovery,
     data_profile,
     data_quality,
     datascans,
@@ -83,12 +84,16 @@ class DataScanServiceAsyncClient:
     _DEFAULT_ENDPOINT_TEMPLATE = DataScanServiceClient._DEFAULT_ENDPOINT_TEMPLATE
     _DEFAULT_UNIVERSE = DataScanServiceClient._DEFAULT_UNIVERSE
 
+    connection_path = staticmethod(DataScanServiceClient.connection_path)
+    parse_connection_path = staticmethod(DataScanServiceClient.parse_connection_path)
     data_scan_path = staticmethod(DataScanServiceClient.data_scan_path)
     parse_data_scan_path = staticmethod(DataScanServiceClient.parse_data_scan_path)
     data_scan_job_path = staticmethod(DataScanServiceClient.data_scan_job_path)
     parse_data_scan_job_path = staticmethod(
         DataScanServiceClient.parse_data_scan_job_path
     )
+    dataset_path = staticmethod(DataScanServiceClient.dataset_path)
+    parse_dataset_path = staticmethod(DataScanServiceClient.parse_dataset_path)
     entity_path = staticmethod(DataScanServiceClient.entity_path)
     parse_entity_path = staticmethod(DataScanServiceClient.parse_entity_path)
     common_billing_account_path = staticmethod(
diff --git a/packages/google-cloud-dataplex/google/cloud/dataplex_v1/services/data_scan_service/client.py b/packages/google-cloud-dataplex/google/cloud/dataplex_v1/services/data_scan_service/client.py
index 03f256f07fdc..262e38518d07 100644
--- a/packages/google-cloud-dataplex/google/cloud/dataplex_v1/services/data_scan_service/client.py
+++ b/packages/google-cloud-dataplex/google/cloud/dataplex_v1/services/data_scan_service/client.py
@@ -60,6 +60,7 @@
 
 from google.cloud.dataplex_v1.services.data_scan_service import pagers
 from google.cloud.dataplex_v1.types import (
+    data_discovery,
     data_profile,
     data_quality,
     datascans,
@@ -202,6 +203,30 @@ def transport(self) -> DataScanServiceTransport:
         """
         return self._transport
 
+    @staticmethod
+    def connection_path(
+        project: str,
+        location: str,
+        connection: str,
+    ) -> str:
+        """Returns a fully-qualified connection string."""
+        return (
+            "projects/{project}/locations/{location}/connections/{connection}".format(
+                project=project,
+                location=location,
+                connection=connection,
+            )
+        )
+
+    @staticmethod
+    def parse_connection_path(path: str) -> Dict[str, str]:
+        """Parses a connection path into its component segments."""
+        m = re.match(
+            r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/connections/(?P<connection>.+?)$",
+            path,
+        )
+        return m.groupdict() if m else {}
+
     @staticmethod
     def data_scan_path(
         project: str,
@@ -248,6 +273,23 @@ def parse_data_scan_job_path(path: str) -> Dict[str, str]:
         )
         return m.groupdict() if m else {}
 
+    @staticmethod
+    def dataset_path(
+        project: str,
+        dataset: str,
+    ) -> str:
+        """Returns a fully-qualified dataset string."""
+        return "projects/{project}/datasets/{dataset}".format(
+            project=project,
+            dataset=dataset,
+        )
+
+    @staticmethod
+    def parse_dataset_path(path: str) -> Dict[str, str]:
+        """Parses a dataset path into its component segments."""
+        m = re.match(r"^projects/(?P<project>.+?)/datasets/(?P<dataset>.+?)$", path)
+        return m.groupdict() if m else {}
+
     @staticmethod
     def entity_path(
         project: str,
diff --git a/packages/google-cloud-dataplex/google/cloud/dataplex_v1/types/__init__.py b/packages/google-cloud-dataplex/google/cloud/dataplex_v1/types/__init__.py
index 4830d58af947..4c56742ac228 100644
--- a/packages/google-cloud-dataplex/google/cloud/dataplex_v1/types/__init__.py
+++ b/packages/google-cloud-dataplex/google/cloud/dataplex_v1/types/__init__.py
@@ -18,10 +18,12 @@
     Aspect,
     AspectSource,
     AspectType,
+    CancelMetadataJobRequest,
     CreateAspectTypeRequest,
     CreateEntryGroupRequest,
     CreateEntryRequest,
     CreateEntryTypeRequest,
+    CreateMetadataJobRequest,
     DeleteAspectTypeRequest,
     DeleteEntryGroupRequest,
     DeleteEntryRequest,
@@ -35,6 +37,8 @@
     GetEntryGroupRequest,
     GetEntryRequest,
     GetEntryTypeRequest,
+    GetMetadataJobRequest,
+    ImportItem,
     ListAspectTypesRequest,
     ListAspectTypesResponse,
     ListEntriesRequest,
@@ -43,7 +47,10 @@
     ListEntryGroupsResponse,
     ListEntryTypesRequest,
     ListEntryTypesResponse,
+    ListMetadataJobsRequest,
+    ListMetadataJobsResponse,
     LookupEntryRequest,
+    MetadataJob,
     SearchEntriesRequest,
     SearchEntriesResponse,
     SearchEntriesResult,
@@ -61,6 +68,7 @@
     ListContentResponse,
     UpdateContentRequest,
 )
+from .data_discovery import DataDiscoveryResult, DataDiscoverySpec
 from .data_profile import DataProfileResult, DataProfileSpec
 from .data_quality import (
     DataQualityColumnResult,
@@ -196,10 +204,12 @@
     "Aspect",
     "AspectSource",
     "AspectType",
+    "CancelMetadataJobRequest",
     "CreateAspectTypeRequest",
     "CreateEntryGroupRequest",
     "CreateEntryRequest",
     "CreateEntryTypeRequest",
+    "CreateMetadataJobRequest",
     "DeleteAspectTypeRequest",
     "DeleteEntryGroupRequest",
     "DeleteEntryRequest",
@@ -212,6 +222,8 @@
     "GetEntryGroupRequest",
     "GetEntryRequest",
     "GetEntryTypeRequest",
+    "GetMetadataJobRequest",
+    "ImportItem",
     "ListAspectTypesRequest",
     "ListAspectTypesResponse",
     "ListEntriesRequest",
@@ -220,7 +232,10 @@
     "ListEntryGroupsResponse",
     "ListEntryTypesRequest",
     "ListEntryTypesResponse",
+    "ListMetadataJobsRequest",
+    "ListMetadataJobsResponse",
     "LookupEntryRequest",
+    "MetadataJob",
     "SearchEntriesRequest",
     "SearchEntriesResponse",
     "SearchEntriesResult",
@@ -236,6 +251,8 @@
     "ListContentRequest",
     "ListContentResponse",
     "UpdateContentRequest",
+    "DataDiscoveryResult",
+    "DataDiscoverySpec",
     "DataProfileResult",
     "DataProfileSpec",
     "DataQualityColumnResult",
diff --git a/packages/google-cloud-dataplex/google/cloud/dataplex_v1/types/catalog.py b/packages/google-cloud-dataplex/google/cloud/dataplex_v1/types/catalog.py
index 6cfe3ecbfbb5..5cfc8ed82adc 100644
--- a/packages/google-cloud-dataplex/google/cloud/dataplex_v1/types/catalog.py
+++ b/packages/google-cloud-dataplex/google/cloud/dataplex_v1/types/catalog.py
@@ -62,6 +62,13 @@
         "SearchEntriesRequest",
         "SearchEntriesResult",
         "SearchEntriesResponse",
+        "ImportItem",
+        "CreateMetadataJobRequest",
+        "GetMetadataJobRequest",
+        "ListMetadataJobsRequest",
+        "ListMetadataJobsResponse",
+        "CancelMetadataJobRequest",
+        "MetadataJob",
     },
 )
 
@@ -80,12 +87,11 @@ class EntryView(proto.Enum):
             keys of all non-required aspects.
         CUSTOM (3):
             Returns aspects matching custom fields in
-            GetEntryRequest. If the number of aspects would
-            exceed 100, the first 100 will be returned.
+            GetEntryRequest. If the number of aspects
+            exceeds 100, the first 100 will be returned.
         ALL (4):
             Returns all aspects. If the number of aspects
-            would exceed 100, the first 100 will be
-            returned.
+            exceeds 100, the first 100 will be returned.
     """
     ENTRY_VIEW_UNSPECIFIED = 0
     BASIC = 1
@@ -119,9 +125,9 @@ class TransferStatus(proto.Enum):
 
 
 class AspectType(proto.Message):
-    r"""Aspect Type is a template for creating Aspects, and
-    represents the JSON-schema for a given Entry, e.g., BigQuery
-    Table Schema.
+    r"""AspectType is a template for creating Aspects, and represents
+    the JSON-schema for a given Entry, for example, BigQuery Table
+    Schema.
 
     Attributes:
         name (str):
@@ -130,9 +136,9 @@ class AspectType(proto.Message):
             projects/{project_number}/locations/{location_id}/aspectTypes/{aspect_type_id}.
         uid (str):
             Output only. System generated globally unique
-            ID for the AspectType. This ID will be different
-            if the AspectType is deleted and re-created with
-            the same name.
+            ID for the AspectType. If you delete and
+            recreate the AspectType with the same name, then
+            this ID will be different.
         create_time (google.protobuf.timestamp_pb2.Timestamp):
             Output only. The time when the AspectType was
             created.
@@ -147,12 +153,12 @@ class AspectType(proto.Message):
             Optional. User-defined labels for the
             AspectType.
         etag (str):
-            This checksum is computed by the server based
-            on the value of other fields, and may be sent on
-            update and delete requests to ensure the client
-            has an up-to-date value before proceeding.
+            The service computes this checksum. The
+            client may send it on update and delete requests
+            to ensure it has an up-to-date value before
+            proceeding.
         authorization (google.cloud.dataplex_v1.types.AspectType.Authorization):
-            Immutable. Authorization defined for this
+            Immutable. Defines the Authorization for this
             type.
         metadata_template (google.cloud.dataplex_v1.types.AspectType.MetadataTemplate):
             Required. MetadataTemplate of the aspect.
@@ -163,13 +169,13 @@ class AspectType(proto.Message):
     """
 
     class Authorization(proto.Message):
-        r"""Autorization for an Aspect Type.
+        r"""Autorization for an AspectType.
 
         Attributes:
             alternate_use_permission (str):
                 Immutable. The IAM permission grantable on
-                the Entry Group to allow access to instantiate
-                Aspects of Dataplex owned Aspect Types, only
+                the EntryGroup to allow access to instantiate
+                Aspects of Dataplex owned AspectTypes, only
                 settable for Dataplex owned Types.
         """
 
@@ -179,7 +185,7 @@ class Authorization(proto.Message):
         )
 
     class MetadataTemplate(proto.Message):
-        r"""MetadataTemplate definition for AspectType
+        r"""MetadataTemplate definition for an AspectType.
 
         Attributes:
             index (int):
@@ -196,48 +202,59 @@ class MetadataTemplate(proto.Message):
             name (str):
                 Required. The name of the field.
             type_ (str):
-                Required. The datatype of this field. The
-                following values are supported: Primitive types
-                (string, integer, boolean, double, datetime);
-                datetime must be of the format RFC3339 UTC
-                "Zulu" (Examples:
-
-                "2014-10-02T15:01:23Z" and
-                "2014-10-02T15:01:23.045123456Z"). Complex types
-                (enum, array, map, record).
+                Required. The datatype of this field. The following values
+                are supported:
+
+                Primitive types:
+
+                -  string
+                -  integer
+                -  boolean
+                -  double
+                -  datetime. Must be of the format RFC3339 UTC "Zulu"
+                   (Examples: "2014-10-02T15:01:23Z" and
+                   "2014-10-02T15:01:23.045123456Z").
+
+                Complex types:
+
+                -  enum
+                -  array
+                -  map
+                -  record
             record_fields (MutableSequence[google.cloud.dataplex_v1.types.AspectType.MetadataTemplate]):
-                Optional. Field definition, needs to be
-                specified if the type is record. Defines the
-                nested fields.
+                Optional. Field definition. You must specify
+                it if the type is record. It defines the nested
+                fields.
             enum_values (MutableSequence[google.cloud.dataplex_v1.types.AspectType.MetadataTemplate.EnumValue]):
                 Optional. The list of values for an enum
-                type. Needs to be defined if the type is enum.
+                type. You must define it if the type is enum.
             map_items (google.cloud.dataplex_v1.types.AspectType.MetadataTemplate):
-                Optional. map_items needs to be set if the type is map.
-                map_items can refer to a primitive field or a complex
-                (record only) field. To specify a primitive field, just name
-                and type needs to be set in the nested MetadataTemplate. The
-                recommended value for the name field is item, as this is not
-                used in the actual payload.
+                Optional. If the type is map, set map_items. map_items can
+                refer to a primitive field or a complex (record only) field.
+                To specify a primitive field, you only need to set name and
+                type in the nested MetadataTemplate. The recommended value
+                for the name field is item, as this isn't used in the actual
+                payload.
             array_items (google.cloud.dataplex_v1.types.AspectType.MetadataTemplate):
-                Optional. array_items needs to be set if the type is array.
-                array_items can refer to a primitive field or a complex
-                (record only) field. To specify a primitive field, just name
-                and type needs to be set in the nested MetadataTemplate. The
-                recommended value for the name field is item, as this is not
+                Optional. If the type is array, set array_items. array_items
+                can refer to a primitive field or a complex (record only)
+                field. To specify a primitive field, you only need to set
+                name and type in the nested MetadataTemplate. The
+                recommended value for the name field is item, as this isn't
                 used in the actual payload.
             type_id (str):
-                Optional. Id can be used if this definition
-                of the field needs to be reused later. Id needs
-                to be unique across the entire template. Id can
-                only be specified if the field type is record.
+                Optional. You can use type id if this
+                definition of the field needs to be reused
+                later. The type id must be unique across the
+                entire template. You can only specify it if the
+                field type is record.
             type_ref (str):
                 Optional. A reference to another field
-                definition (instead of an inline definition).
-                The value must be equal to the value of an id
-                field defined elsewhere in the MetadataTemplate.
-                Only fields with type as record can refer to
-                other fields.
+                definition (not an inline definition). The value
+                must be equal to the value of an id field
+                defined elsewhere in the MetadataTemplate. Only
+                fields with record type can refer to other
+                fields.
             constraints (google.cloud.dataplex_v1.types.AspectType.MetadataTemplate.Constraints):
                 Optional. Specifies the constraints on this
                 field.
@@ -247,18 +264,18 @@ class MetadataTemplate(proto.Message):
         """
 
         class EnumValue(proto.Message):
-            r"""Definition of Enumvalue (to be used by enum fields)
+            r"""Definition of Enumvalue, to be used for enum fields.
 
             Attributes:
                 index (int):
-                    Required. Index for the enum. Cannot be
-                    modified.
+                    Required. Index for the enum value. It can't
+                    be modified.
                 name (str):
                     Required. Name of the enumvalue. This is the
-                    actual value that the aspect will contain.
+                    actual value that the aspect can contain.
                 deprecated (str):
-                    Optional. Optional deprecation message to be
-                    set if an enum value needs to be deprecated.
+                    Optional. You can set this message if you
+                    need to deprecate an enum value.
             """
 
             index: int = proto.Field(
@@ -275,12 +292,12 @@ class EnumValue(proto.Message):
             )
 
         class Constraints(proto.Message):
-            r"""Definition of the constraints of a field
+            r"""Definition of the constraints of a field.
 
             Attributes:
                 required (bool):
-                    Optional. Marks this as an optional/required
-                    field.
+                    Optional. Marks this field as optional or
+                    required.
             """
 
             required: bool = proto.Field(
@@ -289,33 +306,32 @@ class Constraints(proto.Message):
             )
 
         class Annotations(proto.Message):
-            r"""Definition of the annotations of a field
+            r"""Definition of the annotations of a field.
 
             Attributes:
                 deprecated (str):
-                    Optional. Marks a field as deprecated, a
-                    deprecation message can be included.
+                    Optional. Marks a field as deprecated. You
+                    can include a deprecation message.
                 display_name (str):
-                    Optional. Specify a displayname for a field.
+                    Optional. Display name for a field.
                 description (str):
-                    Optional. Specify a description for a field
+                    Optional. Description for a field.
                 display_order (int):
-                    Optional. Specify a display order for a
-                    field. Display order can be used to reorder
-                    where a field is rendered
+                    Optional. Display order for a field. You can
+                    use this to reorder where a field is rendered.
                 string_type (str):
-                    Optional. String Type annotations can be used
-                    to specify special meaning to string fields. The
-                    following values are supported: richText:
-
-                    The field must be interpreted as a rich text
-                    field. url: A fully qualified url link.
-                    resource: A service qualified resource
-                    reference.
+                    Optional. You can use String Type annotations to specify
+                    special meaning to string fields. The following values are
+                    supported:
+
+                    -  richText: The field must be interpreted as a rich text
+                       field.
+                    -  url: A fully qualified URL link.
+                    -  resource: A service qualified resource reference.
                 string_values (MutableSequence[str]):
                     Optional. Suggested hints for string fields.
-                    These can be used to suggest values to users,
-                    through an UI for example.
+                    You can use them to suggest values to users
+                    through console.
             """
 
             deprecated: str = proto.Field(
@@ -457,13 +473,13 @@ class EntryGroup(proto.Message):
     Attributes:
         name (str):
             Output only. The relative resource name of the EntryGroup,
-            of the form:
-            projects/{project_number}/locations/{location_id}/entryGroups/{entry_group_id}.
+            in the format
+            projects/{project_id_or_number}/locations/{location_id}/entryGroups/{entry_group_id}.
         uid (str):
             Output only. System generated globally unique
-            ID for the EntryGroup. This ID will be different
-            if the EntryGroup is deleted and re-created with
-            the same name.
+            ID for the EntryGroup. If you delete and
+            recreate the EntryGroup with the same name, this
+            ID will be different.
         create_time (google.protobuf.timestamp_pb2.Timestamp):
             Output only. The time when the EntryGroup was
             created.
@@ -478,10 +494,10 @@ class EntryGroup(proto.Message):
             Optional. User-defined labels for the
             EntryGroup.
         etag (str):
-            This checksum is computed by the server based
-            on the value of other fields, and may be sent on
-            update and delete requests to ensure the client
-            has an up-to-date value before proceeding.
+            This checksum is computed by the service, and
+            might be sent on update and delete requests to
+            ensure the client has an up-to-date value before
+            proceeding.
         transfer_status (google.cloud.dataplex_v1.types.TransferStatus):
             Output only. Denotes the transfer status of
             the Entry Group. It is unspecified for Entry
@@ -558,13 +574,13 @@ class EntryType(proto.Message):
             EntryType.
         etag (str):
             Optional. This checksum is computed by the
-            server based on the value of other fields, and
-            may be sent on update and delete requests to
-            ensure the client has an up-to-date value before
-            proceeding.
+            service, and might be sent on update and delete
+            requests to ensure the client has an up-to-date
+            value before proceeding.
         type_aliases (MutableSequence[str]):
-            Optional. Indicates the class this Entry Type
-            belongs to, for example, TABLE, DATABASE, MODEL.
+            Optional. Indicates the classes this Entry
+            Type belongs to, for example, TABLE, DATABASE,
+            MODEL.
         platform (str):
             Optional. The platform that Entries of this
             type belongs to.
@@ -684,11 +700,12 @@ class Aspect(proto.Message):
             Output only. The time when the Aspect was
             last updated.
         data (google.protobuf.struct_pb2.Struct):
-            Required. The content of the aspect, according to its aspect
-            type schema. This will replace ``content``. The maximum size
-            of the field is 120KB (encoded as UTF-8).
+            Required. The content of the aspect,
+            according to its aspect type schema. The maximum
+            size of the field is 120KB (encoded as UTF-8).
         aspect_source (google.cloud.dataplex_v1.types.AspectSource):
-
+            Optional. Information related to the source
+            system of the aspect.
     """
 
     aspect_type: str = proto.Field(
@@ -722,16 +739,21 @@ class Aspect(proto.Message):
 
 
 class AspectSource(proto.Message):
-    r"""AspectSource contains source system related information for
-    the aspect.
+    r"""Information related to the source system of the aspect.
 
     Attributes:
         create_time (google.protobuf.timestamp_pb2.Timestamp):
-            The create time of the aspect in the source
+            The time the aspect was created in the source
             system.
         update_time (google.protobuf.timestamp_pb2.Timestamp):
-            The update time of the aspect in the source
-            system.
+            The time the aspect was last updated in the
+            source system.
+        data_version (str):
+            The version of the data format used to
+            produce this data. This field is used to
+            indicated when the underlying data format
+            changes (e.g., schema modifications, changes to
+            the source URL format definition, etc).
     """
 
     create_time: timestamp_pb2.Timestamp = proto.Field(
@@ -744,48 +766,52 @@ class AspectSource(proto.Message):
         number=11,
         message=timestamp_pb2.Timestamp,
     )
+    data_version: str = proto.Field(
+        proto.STRING,
+        number=12,
+    )
 
 
 class Entry(proto.Message):
-    r"""An entry is a representation of a data asset which can be
+    r"""An entry is a representation of a data resource that can be
     described by various metadata.
 
     Attributes:
         name (str):
-            Identifier. The relative resource name of the Entry, of the
-            form:
-            projects/{project}/locations/{location}/entryGroups/{entry_group}/entries/{entry}.
+            Identifier. The relative resource name of the entry, in the
+            format
+            ``projects/{project_id_or_number}/locations/{location_id}/entryGroups/{entry_group_id}/entries/{entry_id}``.
         entry_type (str):
-            Required. Immutable. The resource name of the
-            EntryType used to create this Entry.
+            Required. Immutable. The relative resource name of the entry
+            type that was used to create this entry, in the format
+            ``projects/{project_id_or_number}/locations/{location_id}/entryTypes/{entry_type_id}``.
         create_time (google.protobuf.timestamp_pb2.Timestamp):
-            Output only. The time when the Entry was
-            created.
+            Output only. The time when the entry was
+            created in Dataplex.
         update_time (google.protobuf.timestamp_pb2.Timestamp):
-            Output only. The time when the Entry was last
-            updated.
+            Output only. The time when the entry was last
+            updated in Dataplex.
         aspects (MutableMapping[str, google.cloud.dataplex_v1.types.Aspect]):
-            Optional. The Aspects attached to the Entry.
-            The format for the key can be one of the
-            following:
-
-            1. {projectId}.{locationId}.{aspectTypeId} (if
-                the aspect is attached directly to the
-                entry)
-            2.
-                {projectId}.{locationId}.{aspectTypeId}@{path}
-                (if the aspect is attached to an entry's
-                path)
+            Optional. The aspects that are attached to the entry.
+            Depending on how the aspect is attached to the entry, the
+            format of the aspect key can be one of the following:
+
+            -  If the aspect is attached directly to the entry:
+               ``{project_id_or_number}.{location_id}.{aspect_type_id}``
+            -  If the aspect is attached to an entry's path:
+               ``{project_id_or_number}.{location_id}.{aspect_type_id}@{path}``
         parent_entry (str):
             Optional. Immutable. The resource name of the
             parent entry.
         fully_qualified_name (str):
-            Optional. A name for the entry that can
-            reference it in an external system. The maximum
-            size of the field is 4000 characters.
+            Optional. A name for the entry that can be referenced by an
+            external system. For more information, see `Fully qualified
+            names <https://cloud.google.com/data-catalog/docs/fully-qualified-names>`__.
+            The maximum size of the field is 4000 characters.
         entry_source (google.cloud.dataplex_v1.types.EntrySource):
-            Optional. Source system related information
-            for an entry.
+            Optional. Information related to the source
+            system of the data resource that is represented
+            by the entry.
     """
 
     name: str = proto.Field(
@@ -828,52 +854,55 @@ class Entry(proto.Message):
 
 
 class EntrySource(proto.Message):
-    r"""EntrySource contains source system related information for
-    the entry.
+    r"""Information related to the source system of the data resource
+    that is represented by the entry.
 
     Attributes:
         resource (str):
             The name of the resource in the source
-            system. The maximum size of the field is 4000
-            characters.
+            system. Maximum length is 4,000 characters.
         system (str):
             The name of the source system.
-            The maximum size of the field is 64 characters.
+            Maximum length is 64 characters.
         platform (str):
             The platform containing the source system.
-            The maximum size of the field is 64 characters.
+            Maximum length is 64 characters.
         display_name (str):
-            User friendly display name.
-            The maximum size of the field is 500 characters.
+            A user-friendly display name.
+            Maximum length is 500 characters.
         description (str):
-            Description of the Entry.
-            The maximum size of the field is 2000
-            characters.
+            A description of the data resource.
+            Maximum length is 2,000 characters.
         labels (MutableMapping[str, str]):
             User-defined labels.
             The maximum size of keys and values is 128
             characters each.
         ancestors (MutableSequence[google.cloud.dataplex_v1.types.EntrySource.Ancestor]):
-            Immutable. The ancestors of the Entry in the
-            source system.
-        create_time (google.protobuf.timestamp_pb2.Timestamp):
-            The create time of the resource in the source
+            Immutable. The entries representing the
+            ancestors of the data resource in the source
             system.
+        create_time (google.protobuf.timestamp_pb2.Timestamp):
+            The time when the resource was created in the
+            source system.
         update_time (google.protobuf.timestamp_pb2.Timestamp):
-            The update time of the resource in the source
-            system.
+            The time when the resource was last updated in the source
+            system. If the entry exists in the system and its
+            ``EntrySource`` has ``update_time`` populated, further
+            updates to the ``EntrySource`` of the entry must provide
+            incremental updates to its ``update_time``.
         location (str):
             Output only. Location of the resource in the
-            source system. Entry will be searchable by this
+            source system. You can search the entry by this
             location. By default, this should match the
-            location of the EntryGroup containing this
-            entry. A different value allows capturing source
-            location for data external to GCP.
+            location of the entry group containing this
+            entry. A different value allows capturing the
+            source location for data external to Google
+            Cloud.
     """
 
     class Ancestor(proto.Message):
-        r"""Ancestor contains information about individual items in the
-        hierarchy of an Entry.
+        r"""Information about individual items in the hierarchy that is
+        associated with the data resource.
 
         Attributes:
             name (str):
@@ -938,7 +967,7 @@ class Ancestor(proto.Message):
 
 
 class CreateEntryGroupRequest(proto.Message):
-    r"""Create EntryGroup Request
+    r"""Create EntryGroup Request.
 
     Attributes:
         parent (str):
@@ -948,10 +977,11 @@ class CreateEntryGroupRequest(proto.Message):
         entry_group_id (str):
             Required. EntryGroup identifier.
         entry_group (google.cloud.dataplex_v1.types.EntryGroup):
-            Required. EntryGroup Resource
+            Required. EntryGroup Resource.
         validate_only (bool):
-            Optional. Only validate the request, but do
-            not perform mutations. The default is false.
+            Optional. The service validates the request
+            without performing any mutations. The default is
+            false.
     """
 
     parent: str = proto.Field(
@@ -974,16 +1004,17 @@ class CreateEntryGroupRequest(proto.Message):
 
 
 class UpdateEntryGroupRequest(proto.Message):
-    r"""Update EntryGroup Request
+    r"""Update EntryGroup Request.
 
     Attributes:
         entry_group (google.cloud.dataplex_v1.types.EntryGroup):
-            Required. EntryGroup Resource
+            Required. EntryGroup Resource.
         update_mask (google.protobuf.field_mask_pb2.FieldMask):
             Required. Mask of fields to update.
         validate_only (bool):
-            Optional. Only validate the request, but do
-            not perform mutations. The default is false.
+            Optional. The service validates the request,
+            without performing any mutations. The default is
+            false.
     """
 
     entry_group: "EntryGroup" = proto.Field(
@@ -1003,7 +1034,7 @@ class UpdateEntryGroupRequest(proto.Message):
 
 
 class DeleteEntryGroupRequest(proto.Message):
-    r"""Delele EntryGroup Request
+    r"""Delete EntryGroup Request.
 
     Attributes:
         name (str):
@@ -1013,7 +1044,7 @@ class DeleteEntryGroupRequest(proto.Message):
             Optional. If the client provided etag value
             does not match the current etag value, the
             DeleteEntryGroupRequest method returns an
-            ABORTED error response
+            ABORTED error response.
     """
 
     name: str = proto.Field(
@@ -1034,18 +1065,18 @@ class ListEntryGroupsRequest(proto.Message):
             Required. The resource name of the entryGroup location, of
             the form:
             ``projects/{project_number}/locations/{location_id}`` where
-            ``location_id`` refers to a GCP region.
+            ``location_id`` refers to a Google Cloud region.
         page_size (int):
             Optional. Maximum number of EntryGroups to
             return. The service may return fewer than this
-            value. If unspecified, at most 10 EntryGroups
-            will be returned. The maximum value is 1000;
+            value. If unspecified, the service returns at
+            most 10 EntryGroups. The maximum value is 1000;
             values above 1000 will be coerced to 1000.
         page_token (str):
             Optional. Page token received from a previous
             ``ListEntryGroups`` call. Provide this to retrieve the
-            subsequent page. When paginating, all other parameters
-            provided to ``ListEntryGroups`` must match the call that
+            subsequent page. When paginating, all other parameters you
+            provide to ``ListEntryGroups`` must match the call that
             provided the page token.
         filter (str):
             Optional. Filter request.
@@ -1076,18 +1107,17 @@ class ListEntryGroupsRequest(proto.Message):
 
 
 class ListEntryGroupsResponse(proto.Message):
-    r"""List ListEntryGroups response.
+    r"""List entry groups response.
 
     Attributes:
         entry_groups (MutableSequence[google.cloud.dataplex_v1.types.EntryGroup]):
-            ListEntryGroups under the given parent
-            location.
+            Entry groups under the given parent location.
         next_page_token (str):
             Token to retrieve the next page of results,
             or empty if there are no more results in the
             list.
         unreachable_locations (MutableSequence[str]):
-            Locations that could not be reached.
+            Locations that the service couldn't reach.
     """
 
     @property
@@ -1125,20 +1155,21 @@ class GetEntryGroupRequest(proto.Message):
 
 
 class CreateEntryTypeRequest(proto.Message):
-    r"""Create EntryType Request
+    r"""Create EntryType Request.
 
     Attributes:
         parent (str):
             Required. The resource name of the EntryType, of the form:
             projects/{project_number}/locations/{location_id} where
-            ``location_id`` refers to a GCP region.
+            ``location_id`` refers to a Google Cloud region.
         entry_type_id (str):
             Required. EntryType identifier.
         entry_type (google.cloud.dataplex_v1.types.EntryType):
-            Required. EntryType Resource
+            Required. EntryType Resource.
         validate_only (bool):
-            Optional. Only validate the request, but do
-            not perform mutations. The default is false.
+            Optional. The service validates the request
+            without performing any mutations. The default is
+            false.
     """
 
     parent: str = proto.Field(
@@ -1161,16 +1192,17 @@ class CreateEntryTypeRequest(proto.Message):
 
 
 class UpdateEntryTypeRequest(proto.Message):
-    r"""Update EntryType Request
+    r"""Update EntryType Request.
 
     Attributes:
         entry_type (google.cloud.dataplex_v1.types.EntryType):
-            Required. EntryType Resource
+            Required. EntryType Resource.
         update_mask (google.protobuf.field_mask_pb2.FieldMask):
             Required. Mask of fields to update.
         validate_only (bool):
-            Optional. Only validate the request, but do
-            not perform mutations. The default is false.
+            Optional. The service validates the request
+            without performing any mutations. The default is
+            false.
     """
 
     entry_type: "EntryType" = proto.Field(
@@ -1190,7 +1222,7 @@ class UpdateEntryTypeRequest(proto.Message):
 
 
 class DeleteEntryTypeRequest(proto.Message):
-    r"""Delele EntryType Request
+    r"""Delele EntryType Request.
 
     Attributes:
         name (str):
@@ -1200,7 +1232,7 @@ class DeleteEntryTypeRequest(proto.Message):
             Optional. If the client provided etag value
             does not match the current etag value, the
             DeleteEntryTypeRequest method returns an ABORTED
-            error response
+            error response.
     """
 
     name: str = proto.Field(
@@ -1221,32 +1253,32 @@ class ListEntryTypesRequest(proto.Message):
             Required. The resource name of the EntryType location, of
             the form:
             ``projects/{project_number}/locations/{location_id}`` where
-            ``location_id`` refers to a GCP region.
+            ``location_id`` refers to a Google Cloud region.
         page_size (int):
             Optional. Maximum number of EntryTypes to
             return. The service may return fewer than this
-            value. If unspecified, at most 10 EntryTypes
-            will be returned. The maximum value is 1000;
+            value. If unspecified, the service returns at
+            most 10 EntryTypes. The maximum value is 1000;
             values above 1000 will be coerced to 1000.
         page_token (str):
             Optional. Page token received from a previous
             ``ListEntryTypes`` call. Provide this to retrieve the
-            subsequent page. When paginating, all other parameters
+            subsequent page. When paginating, all other parameters you
             provided to ``ListEntryTypes`` must match the call that
             provided the page token.
         filter (str):
-            Optional. Filter request. Filters are
-            case-sensitive. The following formats are
-            supported:
-
-            labels.key1 = "value1"
-            labels:key1
-            name = "value"
-            These restrictions can be coinjoined with AND,
-            OR and NOT conjunctions.
+            Optional. Filter request. Filters are case-sensitive. The
+            service supports the following formats:
+
+            -  labels.key1 = "value1"
+            -  labels:key1
+            -  name = "value"
+
+            These restrictions can be conjoined with AND, OR, and NOT
+            conjunctions.
         order_by (str):
-            Optional. Order by fields (``name`` or ``create_time``) for
-            the result. If not specified, the ordering is undefined.
+            Optional. Orders the result by ``name`` or ``create_time``
+            fields. If not specified, the ordering is undefined.
     """
 
     parent: str = proto.Field(
@@ -1272,18 +1304,17 @@ class ListEntryTypesRequest(proto.Message):
 
 
 class ListEntryTypesResponse(proto.Message):
-    r"""List EntryTypes response
+    r"""List EntryTypes response.
 
     Attributes:
         entry_types (MutableSequence[google.cloud.dataplex_v1.types.EntryType]):
-            ListEntryTypes under the given parent
-            location.
+            EntryTypes under the given parent location.
         next_page_token (str):
             Token to retrieve the next page of results,
             or empty if there are no more results in the
             list.
         unreachable_locations (MutableSequence[str]):
-            Locations that could not be reached.
+            Locations that the service couldn't reach.
     """
 
     @property
@@ -1306,7 +1337,7 @@ def raw_page(self):
 
 
 class GetEntryTypeRequest(proto.Message):
-    r"""Get EntryType request
+    r"""Get EntryType request.
 
     Attributes:
         name (str):
@@ -1321,20 +1352,21 @@ class GetEntryTypeRequest(proto.Message):
 
 
 class CreateAspectTypeRequest(proto.Message):
-    r"""Create AspectType Request
+    r"""Create AspectType Request.
 
     Attributes:
         parent (str):
             Required. The resource name of the AspectType, of the form:
             projects/{project_number}/locations/{location_id} where
-            ``location_id`` refers to a GCP region.
+            ``location_id`` refers to a Google Cloud region.
         aspect_type_id (str):
             Required. AspectType identifier.
         aspect_type (google.cloud.dataplex_v1.types.AspectType):
-            Required. AspectType Resource
+            Required. AspectType Resource.
         validate_only (bool):
-            Optional. Only validate the request, but do
-            not perform mutations. The default is false.
+            Optional. The service validates the request
+            without performing any mutations. The default is
+            false.
     """
 
     parent: str = proto.Field(
@@ -1386,7 +1418,7 @@ class UpdateAspectTypeRequest(proto.Message):
 
 
 class DeleteAspectTypeRequest(proto.Message):
-    r"""Delele AspectType Request
+    r"""Delele AspectType Request.
 
     Attributes:
         name (str):
@@ -1396,7 +1428,7 @@ class DeleteAspectTypeRequest(proto.Message):
             Optional. If the client provided etag value
             does not match the current etag value, the
             DeleteAspectTypeRequest method returns an
-            ABORTED error response
+            ABORTED error response.
     """
 
     name: str = proto.Field(
@@ -1410,39 +1442,39 @@ class DeleteAspectTypeRequest(proto.Message):
 
 
 class ListAspectTypesRequest(proto.Message):
-    r"""List AspectTypes request
+    r"""List AspectTypes request.
 
     Attributes:
         parent (str):
             Required. The resource name of the AspectType location, of
             the form:
             ``projects/{project_number}/locations/{location_id}`` where
-            ``location_id`` refers to a GCP region.
+            ``location_id`` refers to a Google Cloud region.
         page_size (int):
             Optional. Maximum number of AspectTypes to
             return. The service may return fewer than this
-            value. If unspecified, at most 10 AspectTypes
-            will be returned. The maximum value is 1000;
+            value. If unspecified, the service returns at
+            most 10 AspectTypes. The maximum value is 1000;
             values above 1000 will be coerced to 1000.
         page_token (str):
             Optional. Page token received from a previous
             ``ListAspectTypes`` call. Provide this to retrieve the
-            subsequent page. When paginating, all other parameters
-            provided to ``ListAspectTypes`` must match the call that
+            subsequent page. When paginating, all other parameters you
+            provide to ``ListAspectTypes`` must match the call that
             provided the page token.
         filter (str):
-            Optional. Filter request. Filters are
-            case-sensitive. The following formats are
-            supported:
-
-            labels.key1 = "value1"
-            labels:key1
-            name = "value"
-            These restrictions can be coinjoined with AND,
-            OR and NOT conjunctions.
+            Optional. Filter request. Filters are case-sensitive. The
+            service supports the following formats:
+
+            -  labels.key1 = "value1"
+            -  labels:key1
+            -  name = "value"
+
+            These restrictions can be conjoined with AND, OR, and NOT
+            conjunctions.
         order_by (str):
-            Optional. Order by fields (``name`` or ``create_time``) for
-            the result. If not specified, the ordering is undefined.
+            Optional. Orders the result by ``name`` or ``create_time``
+            fields. If not specified, the ordering is undefined.
     """
 
     parent: str = proto.Field(
@@ -1468,18 +1500,17 @@ class ListAspectTypesRequest(proto.Message):
 
 
 class ListAspectTypesResponse(proto.Message):
-    r"""List AspectTypes response
+    r"""List AspectTypes response.
 
     Attributes:
         aspect_types (MutableSequence[google.cloud.dataplex_v1.types.AspectType]):
-            ListAspectTypes under the given parent
-            location.
+            AspectTypes under the given parent location.
         next_page_token (str):
             Token to retrieve the next page of results,
             or empty if there are no more results in the
             list.
         unreachable_locations (MutableSequence[str]):
-            Locations that could not be reached.
+            Locations that the service couldn't reach.
     """
 
     @property
@@ -1502,7 +1533,7 @@ def raw_page(self):
 
 
 class GetAspectTypeRequest(proto.Message):
-    r"""Get AspectType request
+    r"""Get AspectType request.
 
     Attributes:
         name (str):
@@ -1517,7 +1548,7 @@ class GetAspectTypeRequest(proto.Message):
 
 
 class CreateEntryRequest(proto.Message):
-    r"""
+    r"""Create Entry request.
 
     Attributes:
         parent (str):
@@ -1527,22 +1558,22 @@ class CreateEntryRequest(proto.Message):
             Required. Entry identifier. It has to be unique within an
             Entry Group.
 
-            Entries corresponding to Google Cloud resources use Entry ID
-            format based on Full Resource Names
-            (https://cloud.google.com/apis/design/resource_names#full_resource_name).
-            The format is a Full Resource Name of the resource without
-            the prefix double slashes in the API Service Name part of
-            Full Resource Name. This allows retrieval of entries using
-            their associated resource name.
+            Entries corresponding to Google Cloud resources use an Entry
+            ID format based on `full resource
+            names <https://cloud.google.com/apis/design/resource_names#full_resource_name>`__.
+            The format is a full resource name of the resource without
+            the prefix double slashes in the API service name part of
+            the full resource name. This allows retrieval of entries
+            using their associated resource name.
 
-            For example if the Full Resource Name of a resource is
+            For example, if the full resource name of a resource is
             ``//library.googleapis.com/shelves/shelf1/books/book2``,
             then the suggested entry_id is
             ``library.googleapis.com/shelves/shelf1/books/book2``.
 
             It is also suggested to follow the same convention for
-            entries corresponding to resources from other providers or
-            systems than Google Cloud.
+            entries corresponding to resources from providers or systems
+            other than Google Cloud.
 
             The maximum size of the field is 4000 characters.
         entry (google.cloud.dataplex_v1.types.Entry):
@@ -1565,7 +1596,7 @@ class CreateEntryRequest(proto.Message):
 
 
 class UpdateEntryRequest(proto.Message):
-    r"""
+    r"""Update Entry request.
 
     Attributes:
         entry (google.cloud.dataplex_v1.types.Entry):
@@ -1574,31 +1605,35 @@ class UpdateEntryRequest(proto.Message):
             Optional. Mask of fields to update. To update Aspects, the
             update_mask must contain the value "aspects".
 
-            If the update_mask is empty, all modifiable fields present
-            in the request will be updated.
+            If the update_mask is empty, the service will update all
+            modifiable fields present in the request.
         allow_missing (bool):
-            Optional. If set to true and the entry does
-            not exist, it will be created.
+            Optional. If set to true and the entry
+            doesn't exist, the service will create it.
         delete_missing_aspects (bool):
             Optional. If set to true and the aspect_keys specify aspect
-            ranges, any existing aspects from that range not provided in
-            the request will be deleted.
+            ranges, the service deletes any existing aspects from that
+            range that weren't provided in the request.
         aspect_keys (MutableSequence[str]):
-            Optional. The map keys of the Aspects which should be
-            modified. Supports the following syntaxes:
-
-            -  <aspect_type_reference> - matches aspect on given type
-               and empty path
-            -  <aspect_type_reference>@path - matches aspect on given
-               type and specified path
-            -  <aspect_type_reference>\* - matches aspects on given type
-               for all paths
-            -  \*@path - matches aspects of all types on the given path
-
-            Existing aspects matching the syntax will not be removed
-            unless ``delete_missing_aspects`` is set to true.
-
-            If this field is left empty, it will be treated as
+            Optional. The map keys of the Aspects which the service
+            should modify. It supports the following syntaxes:
+
+            -  ``<aspect_type_reference>`` - matches an aspect of the
+               given type and empty path.
+            -  ``<aspect_type_reference>@path`` - matches an aspect of
+               the given type and specified path. For example, to attach
+               an aspect to a field that is specified by the ``schema``
+               aspect, the path should have the format
+               ``Schema.<field_name>``.
+            -  ``<aspect_type_reference>*`` - matches aspects of the
+               given type for all paths.
+            -  ``*@path`` - matches aspects of all types on the given
+               path.
+
+            The service will not remove existing aspects matching the
+            syntax unless ``delete_missing_aspects`` is set to true.
+
+            If this field is left empty, the service treats it as
             specifying exactly those Aspects present in the request.
     """
 
@@ -1627,7 +1662,7 @@ class UpdateEntryRequest(proto.Message):
 
 
 class DeleteEntryRequest(proto.Message):
-    r"""
+    r"""Delete Entry request.
 
     Attributes:
         name (str):
@@ -1642,31 +1677,46 @@ class DeleteEntryRequest(proto.Message):
 
 
 class ListEntriesRequest(proto.Message):
-    r"""
+    r"""List Entries request.
 
     Attributes:
         parent (str):
             Required. The resource name of the parent Entry Group:
             ``projects/{project}/locations/{location}/entryGroups/{entry_group}``.
         page_size (int):
-
+            Optional. Number of items to return per page. If there are
+            remaining results, the service returns a next_page_token. If
+            unspecified, the service returns at most 10 Entries. The
+            maximum value is 100; values above 100 will be coerced to
+            100.
         page_token (str):
-            Optional. The pagination token returned by a
-            previous request.
+            Optional. Page token received from a previous
+            ``ListEntries`` call. Provide this to retrieve the
+            subsequent page.
         filter (str):
             Optional. A filter on the entries to return. Filters are
-            case-sensitive. The request can be filtered by the following
-            fields: entry_type, entry_source.display_name. The
-            comparison operators are =, !=, <, >, <=, >= (strings are
-            compared according to lexical order) The logical operators
-            AND, OR, NOT can be used in the filter. Wildcard "*" can be
-            used, but for entry_type the full project id or number needs
-            to be provided. Example filter expressions:
-            `entry_source.display_name=AnExampleDisplayName`
-            `entry_type=projects/example-project/locations/global/entryTypes/example-entry_type`
-            `entry_type=projects/example-project/locations/us/entryTypes/a*
-            OR entry_type=projects/another-project/locations/*` `NOT
-            entry_source.display_name=AnotherExampleDisplayName`.
+            case-sensitive. You can filter the request by the following
+            fields:
+
+            -  entry_type
+            -  entry_source.display_name
+
+            The comparison operators are =, !=, <, >, <=, >=. The
+            service compares strings according to lexical order.
+
+            You can use the logical operators AND, OR, NOT in the
+            filter.
+
+            You can use Wildcard "*", but for entry_type you need to
+            provide the full project id or number.
+
+            Example filter expressions:
+
+            -  "entry_source.display_name=AnExampleDisplayName"
+            -  "entry_type=projects/example-project/locations/global/entryTypes/example-entry_type"
+            -  "entry_type=projects/example-project/locations/us/entryTypes/a\*
+               OR entry_type=projects/another-project/locations/\*"
+            -  "NOT entry_source.display_name=AnotherExampleDisplayName".
     """
 
     parent: str = proto.Field(
@@ -1688,13 +1738,16 @@ class ListEntriesRequest(proto.Message):
 
 
 class ListEntriesResponse(proto.Message):
-    r"""
+    r"""List Entries response.
 
     Attributes:
         entries (MutableSequence[google.cloud.dataplex_v1.types.Entry]):
-            The list of entries.
+            The list of entries under the given parent
+            location.
         next_page_token (str):
-            Pagination token.
+            Token to retrieve the next page of results,
+            or empty if there are no more results in the
+            list.
     """
 
     @property
@@ -1713,24 +1766,23 @@ def raw_page(self):
 
 
 class GetEntryRequest(proto.Message):
-    r"""
+    r"""Get Entry request.
 
     Attributes:
         name (str):
             Required. The resource name of the Entry:
             ``projects/{project}/locations/{location}/entryGroups/{entry_group}/entries/{entry}``.
         view (google.cloud.dataplex_v1.types.EntryView):
-            Optional. View for controlling which parts of
-            an entry are to be returned.
+            Optional. View to control which parts of an
+            entry the service should return.
         aspect_types (MutableSequence[str]):
             Optional. Limits the aspects returned to the
-            provided aspect types. Only works if the CUSTOM
-            view is selected.
+            provided aspect types. It only works for CUSTOM
+            view.
         paths (MutableSequence[str]):
             Optional. Limits the aspects returned to
             those associated with the provided paths within
-            the Entry. Only works if the CUSTOM view is
-            selected.
+            the Entry. It only works for CUSTOM view.
     """
 
     name: str = proto.Field(
@@ -1753,7 +1805,7 @@ class GetEntryRequest(proto.Message):
 
 
 class LookupEntryRequest(proto.Message):
-    r"""
+    r"""Lookup Entry request using permissions in the source system.
 
     Attributes:
         name (str):
@@ -1761,17 +1813,16 @@ class LookupEntryRequest(proto.Message):
             attributed in the following form:
             ``projects/{project}/locations/{location}``.
         view (google.cloud.dataplex_v1.types.EntryView):
-            Optional. View for controlling which parts of
-            an entry are to be returned.
+            Optional. View to control which parts of an
+            entry the service should return.
         aspect_types (MutableSequence[str]):
             Optional. Limits the aspects returned to the
-            provided aspect types. Only works if the CUSTOM
-            view is selected.
+            provided aspect types. It only works for CUSTOM
+            view.
         paths (MutableSequence[str]):
             Optional. Limits the aspects returned to
             those associated with the provided paths within
-            the Entry. Only works if the CUSTOM view is
-            selected.
+            the Entry. It only works for CUSTOM view.
         entry (str):
             Required. The resource name of the Entry:
             ``projects/{project}/locations/{location}/entryGroups/{entry_group}/entries/{entry}``.
@@ -1812,18 +1863,21 @@ class SearchEntriesRequest(proto.Message):
             Required. The query against which entries in
             scope should be matched.
         page_size (int):
-            Optional. Pagination.
+            Optional. Number of results in the search page. If <=0, then
+            defaults to 10. Max limit for page_size is 1000. Throws an
+            invalid argument for page_size > 1000.
         page_token (str):
-
+            Optional. Page token received from a previous
+            ``SearchEntries`` call. Provide this to retrieve the
+            subsequent page.
         order_by (str):
-            Optional. Ordering of the results. Supported
-            options to be added later.
+            Optional. Specifies the ordering of results.
         scope (str):
             Optional. The scope under which the search should be
-            operating. Should either be organizations/<org_id> or
-            projects/<project_ref>. If left unspecified, it will default
-            to the organization where the project provided in ``name``
-            is located.
+            operating. It must either be ``organizations/<org_id>`` or
+            ``projects/<project_ref>``. If it is unspecified, it
+            defaults to the organization where the project provided in
+            ``name`` is located.
     """
 
     name: str = proto.Field(
@@ -1903,12 +1957,16 @@ class SearchEntriesResponse(proto.Message):
             The results matching the search query.
         total_size (int):
             The estimated total number of matching
-            entries. Not guaranteed to be accurate.
+            entries. This number isn't guaranteed to be
+            accurate.
         next_page_token (str):
-            Pagination token.
+            Token to retrieve the next page of results,
+            or empty if there are no more results in the
+            list.
         unreachable (MutableSequence[str]):
-            Unreachable locations. Search results don't
-            include data from those locations.
+            Locations that the service couldn't reach.
+            Search results don't include data from these
+            locations.
     """
 
     @property
@@ -1934,4 +1992,644 @@ def raw_page(self):
     )
 
 
+class ImportItem(proto.Message):
+    r"""An object that describes the values that you want to set for an
+    entry and its attached aspects when you import metadata. Used when
+    you run a metadata import job. See
+    [CreateMetadataJob][google.cloud.dataplex.v1.CatalogService.CreateMetadataJob].
+
+    You provide a collection of import items in a metadata import file.
+    For more information about how to create a metadata import file, see
+    `Metadata import
+    file <https://cloud.google.com/dataplex/docs/import-metadata#metadata-import-file>`__.
+
+    Attributes:
+        entry (google.cloud.dataplex_v1.types.Entry):
+            Information about an entry and its attached
+            aspects.
+        update_mask (google.protobuf.field_mask_pb2.FieldMask):
+            The fields to update, in paths that are relative to the
+            ``Entry`` resource. Separate each field with a comma.
+
+            In ``FULL`` entry sync mode, Dataplex includes the paths of
+            all of the fields for an entry that can be modified,
+            including aspects. This means that Dataplex replaces the
+            existing entry with the entry in the metadata import file.
+            All modifiable fields are updated, regardless of the fields
+            that are listed in the update mask, and regardless of
+            whether a field is present in the ``entry`` object.
+
+            The ``update_mask`` field is ignored when an entry is
+            created or re-created.
+
+            Dataplex also determines which entries and aspects to modify
+            by comparing the values and timestamps that you provide in
+            the metadata import file with the values and timestamps that
+            exist in your project. For more information, see `Comparison
+            logic <https://cloud.google.com/dataplex/docs/import-metadata#data-modification-logic>`__.
+        aspect_keys (MutableSequence[str]):
+            The aspects to modify. Supports the following syntaxes:
+
+            -  ``{aspect_type_reference}``: matches aspects that belong
+               to the specified aspect type and are attached directly to
+               the entry.
+            -  ``{aspect_type_reference}@{path}``: matches aspects that
+               belong to the specified aspect type and path.
+            -  ``{aspect_type_reference}@*``: matches aspects that
+               belong to the specified aspect type for all paths.
+
+            Replace ``{aspect_type_reference}`` with a reference to the
+            aspect type, in the format
+            ``{project_id_or_number}.{location_id}.{aspect_type_id}``.
+
+            If you leave this field empty, it is treated as specifying
+            exactly those aspects that are present within the specified
+            entry.
+
+            In ``FULL`` entry sync mode, Dataplex implicitly adds the
+            keys for all of the required aspects of an entry.
+    """
+
+    entry: "Entry" = proto.Field(
+        proto.MESSAGE,
+        number=1,
+        message="Entry",
+    )
+    update_mask: field_mask_pb2.FieldMask = proto.Field(
+        proto.MESSAGE,
+        number=2,
+        message=field_mask_pb2.FieldMask,
+    )
+    aspect_keys: MutableSequence[str] = proto.RepeatedField(
+        proto.STRING,
+        number=3,
+    )
+
+
+class CreateMetadataJobRequest(proto.Message):
+    r"""Create metadata job request.
+
+    Attributes:
+        parent (str):
+            Required. The resource name of the parent location, in the
+            format
+            ``projects/{project_id_or_number}/locations/{location_id}``
+        metadata_job (google.cloud.dataplex_v1.types.MetadataJob):
+            Required. The metadata job resource.
+        metadata_job_id (str):
+            Optional. The metadata job ID. If not provided, a unique ID
+            is generated with the prefix ``metadata-job-``.
+        validate_only (bool):
+            Optional. The service validates the request
+            without performing any mutations. The default is
+            false.
+    """
+
+    parent: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    metadata_job: "MetadataJob" = proto.Field(
+        proto.MESSAGE,
+        number=2,
+        message="MetadataJob",
+    )
+    metadata_job_id: str = proto.Field(
+        proto.STRING,
+        number=3,
+    )
+    validate_only: bool = proto.Field(
+        proto.BOOL,
+        number=4,
+    )
+
+
+class GetMetadataJobRequest(proto.Message):
+    r"""Get metadata job request.
+
+    Attributes:
+        name (str):
+            Required. The resource name of the metadata job, in the
+            format
+            ``projects/{project_id_or_number}/locations/{location_id}/metadataJobs/{metadata_job_id}``.
+    """
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+
+
+class ListMetadataJobsRequest(proto.Message):
+    r"""List metadata jobs request.
+
+    Attributes:
+        parent (str):
+            Required. The resource name of the parent location, in the
+            format
+            ``projects/{project_id_or_number}/locations/{location_id}``
+        page_size (int):
+            Optional. The maximum number of metadata jobs
+            to return. The service might return fewer jobs
+            than this value. If unspecified, at most 10 jobs
+            are returned. The maximum value is 1,000.
+        page_token (str):
+            Optional. The page token received from a previous
+            ``ListMetadataJobs`` call. Provide this token to retrieve
+            the subsequent page of results. When paginating, all other
+            parameters that are provided to the ``ListMetadataJobs``
+            request must match the call that provided the page token.
+        filter (str):
+            Optional. Filter request. Filters are case-sensitive. The
+            service supports the following formats:
+
+            -  ``labels.key1 = "value1"``
+            -  ``labels:key1``
+            -  ``name = "value"``
+
+            You can combine filters with ``AND``, ``OR``, and ``NOT``
+            operators.
+        order_by (str):
+            Optional. The field to sort the results by, either ``name``
+            or ``create_time``. If not specified, the ordering is
+            undefined.
+    """
+
+    parent: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    page_size: int = proto.Field(
+        proto.INT32,
+        number=2,
+    )
+    page_token: str = proto.Field(
+        proto.STRING,
+        number=3,
+    )
+    filter: str = proto.Field(
+        proto.STRING,
+        number=4,
+    )
+    order_by: str = proto.Field(
+        proto.STRING,
+        number=5,
+    )
+
+
+class ListMetadataJobsResponse(proto.Message):
+    r"""List metadata jobs response.
+
+    Attributes:
+        metadata_jobs (MutableSequence[google.cloud.dataplex_v1.types.MetadataJob]):
+            Metadata jobs under the specified parent
+            location.
+        next_page_token (str):
+            A token to retrieve the next page of results.
+            If there are no more results in the list, the
+            value is empty.
+        unreachable_locations (MutableSequence[str]):
+            Locations that the service couldn't reach.
+    """
+
+    @property
+    def raw_page(self):
+        return self
+
+    metadata_jobs: MutableSequence["MetadataJob"] = proto.RepeatedField(
+        proto.MESSAGE,
+        number=1,
+        message="MetadataJob",
+    )
+    next_page_token: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+    unreachable_locations: MutableSequence[str] = proto.RepeatedField(
+        proto.STRING,
+        number=3,
+    )
+
+
+class CancelMetadataJobRequest(proto.Message):
+    r"""Cancel metadata job request.
+
+    Attributes:
+        name (str):
+            Required. The resource name of the job, in the format
+            ``projects/{project_id_or_number}/locations/{location_id}/metadataJobs/{metadata_job_id}``
+    """
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+
+
+class MetadataJob(proto.Message):
+    r"""A metadata job resource.
+
+    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
+
+    Attributes:
+        name (str):
+            Output only. Identifier. The name of the resource that the
+            configuration is applied to, in the format
+            ``projects/{project_number}/locations/{location_id}/metadataJobs/{metadata_job_id}``.
+        uid (str):
+            Output only. A system-generated, globally
+            unique ID for the metadata job. If the metadata
+            job is deleted and then re-created with the same
+            name, this ID is different.
+        create_time (google.protobuf.timestamp_pb2.Timestamp):
+            Output only. The time when the metadata job
+            was created.
+        update_time (google.protobuf.timestamp_pb2.Timestamp):
+            Output only. The time when the metadata job
+            was updated.
+        labels (MutableMapping[str, str]):
+            Optional. User-defined labels.
+        type_ (google.cloud.dataplex_v1.types.MetadataJob.Type):
+            Required. Metadata job type.
+        import_spec (google.cloud.dataplex_v1.types.MetadataJob.ImportJobSpec):
+            Import job specification.
+
+            This field is a member of `oneof`_ ``spec``.
+        import_result (google.cloud.dataplex_v1.types.MetadataJob.ImportJobResult):
+            Output only. Import job result.
+
+            This field is a member of `oneof`_ ``result``.
+        status (google.cloud.dataplex_v1.types.MetadataJob.Status):
+            Output only. Metadata job status.
+    """
+
+    class Type(proto.Enum):
+        r"""Metadata job type.
+
+        Values:
+            TYPE_UNSPECIFIED (0):
+                Unspecified.
+            IMPORT (1):
+                Import job.
+        """
+        TYPE_UNSPECIFIED = 0
+        IMPORT = 1
+
+    class ImportJobResult(proto.Message):
+        r"""Results from a metadata import job.
+
+        Attributes:
+            deleted_entries (int):
+                Output only. The total number of entries that
+                were deleted.
+            updated_entries (int):
+                Output only. The total number of entries that
+                were updated.
+            created_entries (int):
+                Output only. The total number of entries that
+                were created.
+            unchanged_entries (int):
+                Output only. The total number of entries that
+                were unchanged.
+            recreated_entries (int):
+                Output only. The total number of entries that
+                were recreated.
+            update_time (google.protobuf.timestamp_pb2.Timestamp):
+                Output only. The time when the status was
+                updated.
+        """
+
+        deleted_entries: int = proto.Field(
+            proto.INT64,
+            number=1,
+        )
+        updated_entries: int = proto.Field(
+            proto.INT64,
+            number=2,
+        )
+        created_entries: int = proto.Field(
+            proto.INT64,
+            number=3,
+        )
+        unchanged_entries: int = proto.Field(
+            proto.INT64,
+            number=4,
+        )
+        recreated_entries: int = proto.Field(
+            proto.INT64,
+            number=6,
+        )
+        update_time: timestamp_pb2.Timestamp = proto.Field(
+            proto.MESSAGE,
+            number=5,
+            message=timestamp_pb2.Timestamp,
+        )
+
+    class ImportJobSpec(proto.Message):
+        r"""Job specification for a metadata import job
+
+        Attributes:
+            source_storage_uri (str):
+                Optional. The URI of a Cloud Storage bucket or folder
+                (beginning with ``gs://`` and ending with ``/``) that
+                contains the metadata import files for this job.
+
+                A metadata import file defines the values to set for each of
+                the entries and aspects in a metadata job. For more
+                information about how to create a metadata import file and
+                the file requirements, see `Metadata import
+                file <https://cloud.google.com/dataplex/docs/import-metadata#metadata-import-file>`__.
+
+                You can provide multiple metadata import files in the same
+                metadata job. The bucket or folder must contain at least one
+                metadata import file, in JSON Lines format (either ``.json``
+                or ``.jsonl`` file extension).
+
+                In ``FULL`` entry sync mode, don't save the metadata import
+                file in a folder named ``SOURCE_STORAGE_URI/deletions/``.
+
+                **Caution**: If the metadata import file contains no data,
+                all entries and aspects that belong to the job's scope are
+                deleted.
+            source_create_time (google.protobuf.timestamp_pb2.Timestamp):
+                Optional. The time when the process that
+                created the metadata import files began.
+            scope (google.cloud.dataplex_v1.types.MetadataJob.ImportJobSpec.ImportJobScope):
+                Required. A boundary on the scope of impact
+                that the metadata import job can have.
+            entry_sync_mode (google.cloud.dataplex_v1.types.MetadataJob.ImportJobSpec.SyncMode):
+                Required. The sync mode for entries. Only ``FULL`` mode is
+                supported for entries. All entries in the job's scope are
+                modified. If an entry exists in Dataplex but isn't included
+                in the metadata import file, the entry is deleted when you
+                run the metadata job.
+            aspect_sync_mode (google.cloud.dataplex_v1.types.MetadataJob.ImportJobSpec.SyncMode):
+                Required. The sync mode for aspects. Only ``INCREMENTAL``
+                mode is supported for aspects. An aspect is modified only if
+                the metadata import file includes a reference to the aspect
+                in the ``update_mask`` field and the ``aspect_keys`` field.
+            log_level (google.cloud.dataplex_v1.types.MetadataJob.ImportJobSpec.LogLevel):
+                Optional. The level of logs to write to Cloud Logging for
+                this job.
+
+                Debug-level logs provide highly-detailed information for
+                troubleshooting, but their increased verbosity could incur
+                `additional
+                costs <https://cloud.google.com/stackdriver/pricing>`__ that
+                might not be merited for all jobs.
+
+                If unspecified, defaults to ``INFO``.
+        """
+
+        class SyncMode(proto.Enum):
+            r"""Specifies how the entries and aspects in a metadata job are
+            updated.
+
+            Values:
+                SYNC_MODE_UNSPECIFIED (0):
+                    Sync mode unspecified.
+                FULL (1):
+                    All resources in the job's scope are
+                    modified. If a resource exists in Dataplex but
+                    isn't included in the metadata import file, the
+                    resource is deleted when you run the metadata
+                    job. Use this mode to perform a full sync of the
+                    set of entries in the job scope.
+                INCREMENTAL (2):
+                    Only the entries and aspects that are
+                    explicitly included in the metadata import file
+                    are modified. Use this mode to modify a subset
+                    of resources while leaving unreferenced
+                    resources unchanged.
+            """
+            SYNC_MODE_UNSPECIFIED = 0
+            FULL = 1
+            INCREMENTAL = 2
+
+        class LogLevel(proto.Enum):
+            r"""The level of logs to write to Cloud Logging for this job.
+
+            Values:
+                LOG_LEVEL_UNSPECIFIED (0):
+                    Log level unspecified.
+                DEBUG (1):
+                    Debug-level logging. Captures detailed logs for each import
+                    item. Use debug-level logging to troubleshoot issues with
+                    specific import items. For example, use debug-level logging
+                    to identify resources that are missing from the job scope,
+                    entries or aspects that don't conform to the associated
+                    entry type or aspect type, or other misconfigurations with
+                    the metadata import file.
+
+                    Depending on the size of your metadata job and the number of
+                    logs that are generated, debug-level logging might incur
+                    `additional
+                    costs <https://cloud.google.com/stackdriver/pricing>`__.
+                INFO (2):
+                    Info-level logging. Captures logs at the
+                    overall job level. Includes aggregate logs about
+                    import items, but doesn't specify which import
+                    item has an error.
+            """
+            LOG_LEVEL_UNSPECIFIED = 0
+            DEBUG = 1
+            INFO = 2
+
+        class ImportJobScope(proto.Message):
+            r"""A boundary on the scope of impact that the metadata import
+            job can have.
+
+            Attributes:
+                entry_groups (MutableSequence[str]):
+                    Required. The entry group that is in scope for the import
+                    job, specified as a relative resource name in the format
+                    ``projects/{project_number_or_id}/locations/{location_id}/entryGroups/{entry_group_id}``.
+                    Only entries that belong to the specified entry group are
+                    affected by the job.
+
+                    Must contain exactly one element. The entry group and the
+                    job must be in the same location.
+                entry_types (MutableSequence[str]):
+                    Required. The entry types that are in scope for the import
+                    job, specified as relative resource names in the format
+                    ``projects/{project_number_or_id}/locations/{location_id}/entryTypes/{entry_type_id}``.
+                    The job modifies only the entries that belong to these entry
+                    types.
+
+                    If the metadata import file attempts to modify an entry
+                    whose type isn't included in this list, the import job is
+                    halted before modifying any entries or aspects.
+
+                    The location of an entry type must either match the location
+                    of the job, or the entry type must be global.
+                aspect_types (MutableSequence[str]):
+                    Optional. The aspect types that are in scope for the import
+                    job, specified as relative resource names in the format
+                    ``projects/{project_number_or_id}/locations/{location_id}/aspectTypes/{aspect_type_id}``.
+                    The job modifies only the aspects that belong to these
+                    aspect types.
+
+                    If the metadata import file attempts to modify an aspect
+                    whose type isn't included in this list, the import job is
+                    halted before modifying any entries or aspects.
+
+                    The location of an aspect type must either match the
+                    location of the job, or the aspect type must be global.
+            """
+
+            entry_groups: MutableSequence[str] = proto.RepeatedField(
+                proto.STRING,
+                number=1,
+            )
+            entry_types: MutableSequence[str] = proto.RepeatedField(
+                proto.STRING,
+                number=2,
+            )
+            aspect_types: MutableSequence[str] = proto.RepeatedField(
+                proto.STRING,
+                number=3,
+            )
+
+        source_storage_uri: str = proto.Field(
+            proto.STRING,
+            number=1,
+        )
+        source_create_time: timestamp_pb2.Timestamp = proto.Field(
+            proto.MESSAGE,
+            number=5,
+            message=timestamp_pb2.Timestamp,
+        )
+        scope: "MetadataJob.ImportJobSpec.ImportJobScope" = proto.Field(
+            proto.MESSAGE,
+            number=2,
+            message="MetadataJob.ImportJobSpec.ImportJobScope",
+        )
+        entry_sync_mode: "MetadataJob.ImportJobSpec.SyncMode" = proto.Field(
+            proto.ENUM,
+            number=3,
+            enum="MetadataJob.ImportJobSpec.SyncMode",
+        )
+        aspect_sync_mode: "MetadataJob.ImportJobSpec.SyncMode" = proto.Field(
+            proto.ENUM,
+            number=4,
+            enum="MetadataJob.ImportJobSpec.SyncMode",
+        )
+        log_level: "MetadataJob.ImportJobSpec.LogLevel" = proto.Field(
+            proto.ENUM,
+            number=6,
+            enum="MetadataJob.ImportJobSpec.LogLevel",
+        )
+
+    class Status(proto.Message):
+        r"""Metadata job status.
+
+        Attributes:
+            state (google.cloud.dataplex_v1.types.MetadataJob.Status.State):
+                Output only. State of the metadata job.
+            message (str):
+                Output only. Message relating to the
+                progression of a metadata job.
+            completion_percent (int):
+                Output only. Progress tracking.
+            update_time (google.protobuf.timestamp_pb2.Timestamp):
+                Output only. The time when the status was
+                updated.
+        """
+
+        class State(proto.Enum):
+            r"""State of a metadata job.
+
+            Values:
+                STATE_UNSPECIFIED (0):
+                    State unspecified.
+                QUEUED (1):
+                    The job is queued.
+                RUNNING (2):
+                    The job is running.
+                CANCELING (3):
+                    The job is being canceled.
+                CANCELED (4):
+                    The job is canceled.
+                SUCCEEDED (5):
+                    The job succeeded.
+                FAILED (6):
+                    The job failed.
+                SUCCEEDED_WITH_ERRORS (7):
+                    The job completed with some errors.
+            """
+            STATE_UNSPECIFIED = 0
+            QUEUED = 1
+            RUNNING = 2
+            CANCELING = 3
+            CANCELED = 4
+            SUCCEEDED = 5
+            FAILED = 6
+            SUCCEEDED_WITH_ERRORS = 7
+
+        state: "MetadataJob.Status.State" = proto.Field(
+            proto.ENUM,
+            number=1,
+            enum="MetadataJob.Status.State",
+        )
+        message: str = proto.Field(
+            proto.STRING,
+            number=2,
+        )
+        completion_percent: int = proto.Field(
+            proto.INT32,
+            number=3,
+        )
+        update_time: timestamp_pb2.Timestamp = proto.Field(
+            proto.MESSAGE,
+            number=4,
+            message=timestamp_pb2.Timestamp,
+        )
+
+    name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    uid: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+    create_time: timestamp_pb2.Timestamp = proto.Field(
+        proto.MESSAGE,
+        number=3,
+        message=timestamp_pb2.Timestamp,
+    )
+    update_time: timestamp_pb2.Timestamp = proto.Field(
+        proto.MESSAGE,
+        number=4,
+        message=timestamp_pb2.Timestamp,
+    )
+    labels: MutableMapping[str, str] = proto.MapField(
+        proto.STRING,
+        proto.STRING,
+        number=5,
+    )
+    type_: Type = proto.Field(
+        proto.ENUM,
+        number=6,
+        enum=Type,
+    )
+    import_spec: ImportJobSpec = proto.Field(
+        proto.MESSAGE,
+        number=100,
+        oneof="spec",
+        message=ImportJobSpec,
+    )
+    import_result: ImportJobResult = proto.Field(
+        proto.MESSAGE,
+        number=200,
+        oneof="result",
+        message=ImportJobResult,
+    )
+    status: Status = proto.Field(
+        proto.MESSAGE,
+        number=7,
+        message=Status,
+    )
+
+
 __all__ = tuple(sorted(__protobuf__.manifest))
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/data_discovery.py b/packages/google-cloud-dataplex/google/cloud/dataplex_v1/types/data_discovery.py
similarity index 92%
rename from owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/data_discovery.py
rename to packages/google-cloud-dataplex/google/cloud/dataplex_v1/types/data_discovery.py
index 434fb578a40b..8aa7e98b9e83 100644
--- a/owl-bot-staging/google-cloud-dataplex/v1/google/cloud/dataplex_v1/types/data_discovery.py
+++ b/packages/google-cloud-dataplex/google/cloud/dataplex_v1/types/data_discovery.py
@@ -19,12 +19,11 @@
 
 import proto  # type: ignore
 
-
 __protobuf__ = proto.module(
-    package='google.cloud.dataplex.v1',
+    package="google.cloud.dataplex.v1",
     manifest={
-        'DataDiscoverySpec',
-        'DataDiscoveryResult',
+        "DataDiscoverySpec",
+        "DataDiscoveryResult",
     },
 )
 
@@ -57,6 +56,7 @@ class BigQueryPublishingConfig(proto.Message):
                 tables. Must be in the form
                 ``projects/{project_id}/locations/{location_id}/connections/{connection_id}``
         """
+
         class TableType(proto.Enum):
             r"""Determines how discovered tables are published.
 
@@ -78,10 +78,12 @@ class TableType(proto.Enum):
             EXTERNAL = 1
             BIGLAKE = 2
 
-        table_type: 'DataDiscoverySpec.BigQueryPublishingConfig.TableType' = proto.Field(
-            proto.ENUM,
-            number=2,
-            enum='DataDiscoverySpec.BigQueryPublishingConfig.TableType',
+        table_type: "DataDiscoverySpec.BigQueryPublishingConfig.TableType" = (
+            proto.Field(
+                proto.ENUM,
+                number=2,
+                enum="DataDiscoverySpec.BigQueryPublishingConfig.TableType",
+            )
         )
         connection: str = proto.Field(
             proto.STRING,
@@ -192,15 +194,15 @@ class JsonOptions(proto.Message):
             proto.STRING,
             number=2,
         )
-        csv_options: 'DataDiscoverySpec.StorageConfig.CsvOptions' = proto.Field(
+        csv_options: "DataDiscoverySpec.StorageConfig.CsvOptions" = proto.Field(
             proto.MESSAGE,
             number=3,
-            message='DataDiscoverySpec.StorageConfig.CsvOptions',
+            message="DataDiscoverySpec.StorageConfig.CsvOptions",
         )
-        json_options: 'DataDiscoverySpec.StorageConfig.JsonOptions' = proto.Field(
+        json_options: "DataDiscoverySpec.StorageConfig.JsonOptions" = proto.Field(
             proto.MESSAGE,
             number=4,
-            message='DataDiscoverySpec.StorageConfig.JsonOptions',
+            message="DataDiscoverySpec.StorageConfig.JsonOptions",
         )
 
     bigquery_publishing_config: BigQueryPublishingConfig = proto.Field(
@@ -211,7 +213,7 @@ class JsonOptions(proto.Message):
     storage_config: StorageConfig = proto.Field(
         proto.MESSAGE,
         number=100,
-        oneof='resource_config',
+        oneof="resource_config",
         message=StorageConfig,
     )
 
diff --git a/packages/google-cloud-dataplex/google/cloud/dataplex_v1/types/data_profile.py b/packages/google-cloud-dataplex/google/cloud/dataplex_v1/types/data_profile.py
index c52550c7eea7..1b0558266596 100644
--- a/packages/google-cloud-dataplex/google/cloud/dataplex_v1/types/data_profile.py
+++ b/packages/google-cloud-dataplex/google/cloud/dataplex_v1/types/data_profile.py
@@ -209,15 +209,17 @@ class ProfileInfo(proto.Message):
                     distinct_ratio (float):
                         Ratio of rows with distinct values against
                         total scanned rows. Not available for complex
-                        non-groupable field type RECORD and fields with
-                        REPEATABLE mode.
+                        non-groupable field type, including RECORD,
+                        ARRAY, GEOGRAPHY, and JSON, as well as fields
+                        with REPEATABLE mode.
                     top_n_values (MutableSequence[google.cloud.dataplex_v1.types.DataProfileResult.Profile.Field.ProfileInfo.TopNValue]):
                         The list of top N non-null values, frequency
                         and ratio with which they occur in the scanned
                         data. N is 10 or equal to the number of distinct
                         values in the field, whichever is smaller. Not
-                        available for complex non-groupable field type
-                        RECORD and fields with REPEATABLE mode.
+                        available for complex non-groupable field type,
+                        including RECORD, ARRAY, GEOGRAPHY, and JSON, as
+                        well as fields with REPEATABLE mode.
                     string_profile (google.cloud.dataplex_v1.types.DataProfileResult.Profile.Field.ProfileInfo.StringFieldInfo):
                         String type field information.
 
diff --git a/packages/google-cloud-dataplex/google/cloud/dataplex_v1/types/data_quality.py b/packages/google-cloud-dataplex/google/cloud/dataplex_v1/types/data_quality.py
index b071fe7e6e2d..e46f60dcc3c8 100644
--- a/packages/google-cloud-dataplex/google/cloud/dataplex_v1/types/data_quality.py
+++ b/packages/google-cloud-dataplex/google/cloud/dataplex_v1/types/data_quality.py
@@ -472,7 +472,7 @@ class DataQualityDimension(proto.Message):
         name (str):
             The dimension name a rule belongs to. Supported dimensions
             are ["COMPLETENESS", "ACCURACY", "CONSISTENCY", "VALIDITY",
-            "UNIQUENESS", "INTEGRITY"]
+            "UNIQUENESS", "FRESHNESS", "VOLUME"]
     """
 
     name: str = proto.Field(
@@ -557,7 +557,7 @@ class DataQualityRule(proto.Message):
             Required. The dimension a rule belongs to. Results are also
             aggregated at the dimension level. Supported dimensions are
             **["COMPLETENESS", "ACCURACY", "CONSISTENCY", "VALIDITY",
-            "UNIQUENESS", "INTEGRITY"]**
+            "UNIQUENESS", "FRESHNESS", "VOLUME"]**
         threshold (float):
             Optional. The minimum ratio of **passing_rows / total_rows**
             required to pass this rule, with a range of [0.0, 1.0].
@@ -577,6 +577,9 @@ class DataQualityRule(proto.Message):
             Optional. Description of the rule.
 
             -  The maximum length is 1,024 characters.
+        suspended (bool):
+            Optional. Whether the Rule is active or
+            suspended. Default is false.
     """
 
     class RangeExpectation(proto.Message):
@@ -875,6 +878,10 @@ class SqlAssertion(proto.Message):
         proto.STRING,
         number=505,
     )
+    suspended: bool = proto.Field(
+        proto.BOOL,
+        number=506,
+    )
 
 
 class DataQualityColumnResult(proto.Message):
diff --git a/packages/google-cloud-dataplex/google/cloud/dataplex_v1/types/datascans.py b/packages/google-cloud-dataplex/google/cloud/dataplex_v1/types/datascans.py
index e64a238b7129..eb0eea7e0688 100644
--- a/packages/google-cloud-dataplex/google/cloud/dataplex_v1/types/datascans.py
+++ b/packages/google-cloud-dataplex/google/cloud/dataplex_v1/types/datascans.py
@@ -22,6 +22,7 @@
 import proto  # type: ignore
 
 from google.cloud.dataplex_v1.types import (
+    data_discovery,
     data_profile,
     data_quality,
     processing,
@@ -52,19 +53,22 @@
 
 
 class DataScanType(proto.Enum):
-    r"""The type of DataScan.
+    r"""The type of data scan.
 
     Values:
         DATA_SCAN_TYPE_UNSPECIFIED (0):
-            The DataScan type is unspecified.
+            The data scan type is unspecified.
         DATA_QUALITY (1):
-            Data Quality scan.
+            Data quality scan.
         DATA_PROFILE (2):
-            Data Profile scan.
+            Data profile scan.
+        DATA_DISCOVERY (3):
+            Data discovery scan.
     """
     DATA_SCAN_TYPE_UNSPECIFIED = 0
     DATA_QUALITY = 1
     DATA_PROFILE = 2
+    DATA_DISCOVERY = 3
 
 
 class CreateDataScanRequest(proto.Message):
@@ -543,20 +547,29 @@ class DataScan(proto.Message):
         type_ (google.cloud.dataplex_v1.types.DataScanType):
             Output only. The type of DataScan.
         data_quality_spec (google.cloud.dataplex_v1.types.DataQualitySpec):
-            DataQualityScan related setting.
+            Settings for a data quality scan.
 
             This field is a member of `oneof`_ ``spec``.
         data_profile_spec (google.cloud.dataplex_v1.types.DataProfileSpec):
-            DataProfileScan related setting.
+            Settings for a data profile scan.
+
+            This field is a member of `oneof`_ ``spec``.
+        data_discovery_spec (google.cloud.dataplex_v1.types.DataDiscoverySpec):
+            Settings for a data discovery scan.
 
             This field is a member of `oneof`_ ``spec``.
         data_quality_result (google.cloud.dataplex_v1.types.DataQualityResult):
-            Output only. The result of the data quality
+            Output only. The result of a data quality
             scan.
 
             This field is a member of `oneof`_ ``result``.
         data_profile_result (google.cloud.dataplex_v1.types.DataProfileResult):
-            Output only. The result of the data profile
+            Output only. The result of a data profile
+            scan.
+
+            This field is a member of `oneof`_ ``result``.
+        data_discovery_result (google.cloud.dataplex_v1.types.DataDiscoveryResult):
+            Output only. The result of a data discovery
             scan.
 
             This field is a member of `oneof`_ ``result``.
@@ -694,6 +707,12 @@ class ExecutionStatus(proto.Message):
         oneof="spec",
         message=data_profile.DataProfileSpec,
     )
+    data_discovery_spec: data_discovery.DataDiscoverySpec = proto.Field(
+        proto.MESSAGE,
+        number=102,
+        oneof="spec",
+        message=data_discovery.DataDiscoverySpec,
+    )
     data_quality_result: data_quality.DataQualityResult = proto.Field(
         proto.MESSAGE,
         number=200,
@@ -706,6 +725,12 @@ class ExecutionStatus(proto.Message):
         oneof="result",
         message=data_profile.DataProfileResult,
     )
+    data_discovery_result: data_discovery.DataDiscoveryResult = proto.Field(
+        proto.MESSAGE,
+        number=202,
+        oneof="result",
+        message=data_discovery.DataDiscoveryResult,
+    )
 
 
 class DataScanJob(proto.Message):
@@ -728,6 +753,9 @@ class DataScanJob(proto.Message):
         uid (str):
             Output only. System generated globally unique
             ID for the DataScanJob.
+        create_time (google.protobuf.timestamp_pb2.Timestamp):
+            Output only. The time when the DataScanJob
+            was created.
         start_time (google.protobuf.timestamp_pb2.Timestamp):
             Output only. The time when the DataScanJob
             was started.
@@ -743,20 +771,32 @@ class DataScanJob(proto.Message):
         type_ (google.cloud.dataplex_v1.types.DataScanType):
             Output only. The type of the parent DataScan.
         data_quality_spec (google.cloud.dataplex_v1.types.DataQualitySpec):
-            Output only. DataQualityScan related setting.
+            Output only. Settings for a data quality
+            scan.
 
             This field is a member of `oneof`_ ``spec``.
         data_profile_spec (google.cloud.dataplex_v1.types.DataProfileSpec):
-            Output only. DataProfileScan related setting.
+            Output only. Settings for a data profile
+            scan.
+
+            This field is a member of `oneof`_ ``spec``.
+        data_discovery_spec (google.cloud.dataplex_v1.types.DataDiscoverySpec):
+            Output only. Settings for a data discovery
+            scan.
 
             This field is a member of `oneof`_ ``spec``.
         data_quality_result (google.cloud.dataplex_v1.types.DataQualityResult):
-            Output only. The result of the data quality
+            Output only. The result of a data quality
             scan.
 
             This field is a member of `oneof`_ ``result``.
         data_profile_result (google.cloud.dataplex_v1.types.DataProfileResult):
-            Output only. The result of the data profile
+            Output only. The result of a data profile
+            scan.
+
+            This field is a member of `oneof`_ ``result``.
+        data_discovery_result (google.cloud.dataplex_v1.types.DataDiscoveryResult):
+            Output only. The result of a data discovery
             scan.
 
             This field is a member of `oneof`_ ``result``.
@@ -799,6 +839,11 @@ class State(proto.Enum):
         proto.STRING,
         number=2,
     )
+    create_time: timestamp_pb2.Timestamp = proto.Field(
+        proto.MESSAGE,
+        number=8,
+        message=timestamp_pb2.Timestamp,
+    )
     start_time: timestamp_pb2.Timestamp = proto.Field(
         proto.MESSAGE,
         number=3,
@@ -835,6 +880,12 @@ class State(proto.Enum):
         oneof="spec",
         message=data_profile.DataProfileSpec,
     )
+    data_discovery_spec: data_discovery.DataDiscoverySpec = proto.Field(
+        proto.MESSAGE,
+        number=102,
+        oneof="spec",
+        message=data_discovery.DataDiscoverySpec,
+    )
     data_quality_result: data_quality.DataQualityResult = proto.Field(
         proto.MESSAGE,
         number=200,
@@ -847,6 +898,12 @@ class State(proto.Enum):
         oneof="result",
         message=data_profile.DataProfileResult,
     )
+    data_discovery_result: data_discovery.DataDiscoveryResult = proto.Field(
+        proto.MESSAGE,
+        number=202,
+        oneof="result",
+        message=data_discovery.DataDiscoveryResult,
+    )
 
 
 __all__ = tuple(sorted(__protobuf__.manifest))
diff --git a/packages/google-cloud-dataplex/google/cloud/dataplex_v1/types/logs.py b/packages/google-cloud-dataplex/google/cloud/dataplex_v1/types/logs.py
index dd54639a3934..463d15aeffc6 100644
--- a/packages/google-cloud-dataplex/google/cloud/dataplex_v1/types/logs.py
+++ b/packages/google-cloud-dataplex/google/cloud/dataplex_v1/types/logs.py
@@ -55,6 +55,9 @@ class DiscoveryEvent(proto.Message):
             The id of the associated asset.
         data_location (str):
             The data location associated with the event.
+        datascan_id (str):
+            The id of the associated datascan for
+            standalone discovery.
         type_ (google.cloud.dataplex_v1.types.DiscoveryEvent.EventType):
             The type of the event being logged.
         config (google.cloud.dataplex_v1.types.DiscoveryEvent.ConfigDetails):
@@ -76,6 +79,11 @@ class DiscoveryEvent(proto.Message):
             Details about the action associated with the
             event.
 
+            This field is a member of `oneof`_ ``details``.
+        table (google.cloud.dataplex_v1.types.DiscoveryEvent.TableDetails):
+            Details about the BigQuery table publishing
+            associated with the event.
+
             This field is a member of `oneof`_ ``details``.
     """
 
@@ -106,6 +114,16 @@ class EventType(proto.Enum):
             PARTITION_DELETED (7):
                 An event representing a partition being
                 deleted.
+            TABLE_PUBLISHED (10):
+                An event representing a table being
+                published.
+            TABLE_UPDATED (11):
+                An event representing a table being updated.
+            TABLE_IGNORED (12):
+                An event representing a table being skipped
+                in publishing.
+            TABLE_DELETED (13):
+                An event representing a table being deleted.
         """
         EVENT_TYPE_UNSPECIFIED = 0
         CONFIG = 1
@@ -115,6 +133,10 @@ class EventType(proto.Enum):
         PARTITION_CREATED = 5
         PARTITION_UPDATED = 6
         PARTITION_DELETED = 7
+        TABLE_PUBLISHED = 10
+        TABLE_UPDATED = 11
+        TABLE_IGNORED = 12
+        TABLE_DELETED = 13
 
     class EntityType(proto.Enum):
         r"""The type of the entity.
@@ -131,6 +153,24 @@ class EntityType(proto.Enum):
         TABLE = 1
         FILESET = 2
 
+    class TableType(proto.Enum):
+        r"""The type of the published table.
+
+        Values:
+            TABLE_TYPE_UNSPECIFIED (0):
+                An unspecified table type.
+            EXTERNAL_TABLE (1):
+                External table type.
+            BIGLAKE_TABLE (2):
+                BigLake table type.
+            OBJECT_TABLE (3):
+                Object table type for unstructured data.
+        """
+        TABLE_TYPE_UNSPECIFIED = 0
+        EXTERNAL_TABLE = 1
+        BIGLAKE_TABLE = 2
+        OBJECT_TABLE = 3
+
     class ConfigDetails(proto.Message):
         r"""Details about configuration events.
 
@@ -170,6 +210,27 @@ class EntityDetails(proto.Message):
             enum="DiscoveryEvent.EntityType",
         )
 
+    class TableDetails(proto.Message):
+        r"""Details about the published table.
+
+        Attributes:
+            table (str):
+                The fully-qualified resource name of the
+                table resource.
+            type_ (google.cloud.dataplex_v1.types.DiscoveryEvent.TableType):
+                The type of the table resource.
+        """
+
+        table: str = proto.Field(
+            proto.STRING,
+            number=1,
+        )
+        type_: "DiscoveryEvent.TableType" = proto.Field(
+            proto.ENUM,
+            number=2,
+            enum="DiscoveryEvent.TableType",
+        )
+
     class PartitionDetails(proto.Message):
         r"""Details about the partition.
 
@@ -213,12 +274,19 @@ class ActionDetails(proto.Message):
             type_ (str):
                 The type of action.
                 Eg. IncompatibleDataSchema, InvalidDataFormat
+            issue (str):
+                The human readable issue associated with the
+                action.
         """
 
         type_: str = proto.Field(
             proto.STRING,
             number=1,
         )
+        issue: str = proto.Field(
+            proto.STRING,
+            number=2,
+        )
 
     message: str = proto.Field(
         proto.STRING,
@@ -240,6 +308,10 @@ class ActionDetails(proto.Message):
         proto.STRING,
         number=5,
     )
+    datascan_id: str = proto.Field(
+        proto.STRING,
+        number=6,
+    )
     type_: EventType = proto.Field(
         proto.ENUM,
         number=10,
@@ -269,6 +341,12 @@ class ActionDetails(proto.Message):
         oneof="details",
         message=ActionDetails,
     )
+    table: TableDetails = proto.Field(
+        proto.MESSAGE,
+        number=24,
+        oneof="details",
+        message=TableDetails,
+    )
 
 
 class JobEvent(proto.Message):
@@ -699,7 +777,6 @@ class EntityType(proto.Enum):
 class DataScanEvent(proto.Message):
     r"""These messages contain information about the execution of a
     datascan. The monitored resource is 'DataScan'
-    Next ID: 13
 
     This message has `oneof`_ fields (mutually exclusive fields).
     For each oneof, at most one member field can be set at the same time.
@@ -770,10 +847,13 @@ class ScanType(proto.Enum):
                 Data scan for data profile.
             DATA_QUALITY (2):
                 Data scan for data quality.
+            DATA_DISCOVERY (4):
+                Data scan for data discovery.
         """
         SCAN_TYPE_UNSPECIFIED = 0
         DATA_PROFILE = 1
         DATA_QUALITY = 2
+        DATA_DISCOVERY = 4
 
     class State(proto.Enum):
         r"""The job state of the data scan.
diff --git a/packages/google-cloud-dataplex/google/cloud/dataplex_v1/types/tasks.py b/packages/google-cloud-dataplex/google/cloud/dataplex_v1/types/tasks.py
index fa68e7f2e372..3fefb6d4d8ef 100644
--- a/packages/google-cloud-dataplex/google/cloud/dataplex_v1/types/tasks.py
+++ b/packages/google-cloud-dataplex/google/cloud/dataplex_v1/types/tasks.py
@@ -406,10 +406,9 @@ class SparkTaskConfig(proto.Message):
 
                 This field is a member of `oneof`_ ``driver``.
             sql_script_file (str):
-                A reference to a query file. This can be the Cloud Storage
-                URI of the query file or it can the path to a SqlScript
-                Content. The execution args are used to declare a set of
-                script variables (``set key="value";``).
+                A reference to a query file. This should be the Cloud
+                Storage URI of the query file. The execution args are used
+                to declare a set of script variables (``set key="value";``).
 
                 This field is a member of `oneof`_ ``driver``.
             sql_script (str):
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_cancel_metadata_job_async.py b/packages/google-cloud-dataplex/samples/generated_samples/dataplex_v1_generated_catalog_service_cancel_metadata_job_async.py
similarity index 100%
rename from owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_cancel_metadata_job_async.py
rename to packages/google-cloud-dataplex/samples/generated_samples/dataplex_v1_generated_catalog_service_cancel_metadata_job_async.py
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_cancel_metadata_job_sync.py b/packages/google-cloud-dataplex/samples/generated_samples/dataplex_v1_generated_catalog_service_cancel_metadata_job_sync.py
similarity index 100%
rename from owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_cancel_metadata_job_sync.py
rename to packages/google-cloud-dataplex/samples/generated_samples/dataplex_v1_generated_catalog_service_cancel_metadata_job_sync.py
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_metadata_job_async.py b/packages/google-cloud-dataplex/samples/generated_samples/dataplex_v1_generated_catalog_service_create_metadata_job_async.py
similarity index 100%
rename from owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_metadata_job_async.py
rename to packages/google-cloud-dataplex/samples/generated_samples/dataplex_v1_generated_catalog_service_create_metadata_job_async.py
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_metadata_job_sync.py b/packages/google-cloud-dataplex/samples/generated_samples/dataplex_v1_generated_catalog_service_create_metadata_job_sync.py
similarity index 100%
rename from owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_create_metadata_job_sync.py
rename to packages/google-cloud-dataplex/samples/generated_samples/dataplex_v1_generated_catalog_service_create_metadata_job_sync.py
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_metadata_job_async.py b/packages/google-cloud-dataplex/samples/generated_samples/dataplex_v1_generated_catalog_service_get_metadata_job_async.py
similarity index 100%
rename from owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_metadata_job_async.py
rename to packages/google-cloud-dataplex/samples/generated_samples/dataplex_v1_generated_catalog_service_get_metadata_job_async.py
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_metadata_job_sync.py b/packages/google-cloud-dataplex/samples/generated_samples/dataplex_v1_generated_catalog_service_get_metadata_job_sync.py
similarity index 100%
rename from owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_get_metadata_job_sync.py
rename to packages/google-cloud-dataplex/samples/generated_samples/dataplex_v1_generated_catalog_service_get_metadata_job_sync.py
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_metadata_jobs_async.py b/packages/google-cloud-dataplex/samples/generated_samples/dataplex_v1_generated_catalog_service_list_metadata_jobs_async.py
similarity index 100%
rename from owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_metadata_jobs_async.py
rename to packages/google-cloud-dataplex/samples/generated_samples/dataplex_v1_generated_catalog_service_list_metadata_jobs_async.py
diff --git a/owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_metadata_jobs_sync.py b/packages/google-cloud-dataplex/samples/generated_samples/dataplex_v1_generated_catalog_service_list_metadata_jobs_sync.py
similarity index 100%
rename from owl-bot-staging/google-cloud-dataplex/v1/samples/generated_samples/dataplex_v1_generated_catalog_service_list_metadata_jobs_sync.py
rename to packages/google-cloud-dataplex/samples/generated_samples/dataplex_v1_generated_catalog_service_list_metadata_jobs_sync.py
diff --git a/packages/google-cloud-dataplex/samples/generated_samples/snippet_metadata_google.cloud.dataplex.v1.json b/packages/google-cloud-dataplex/samples/generated_samples/snippet_metadata_google.cloud.dataplex.v1.json
index e466410d1430..a7eb15b2cc0d 100644
--- a/packages/google-cloud-dataplex/samples/generated_samples/snippet_metadata_google.cloud.dataplex.v1.json
+++ b/packages/google-cloud-dataplex/samples/generated_samples/snippet_metadata_google.cloud.dataplex.v1.json
@@ -8,9 +8,164 @@
     ],
     "language": "PYTHON",
     "name": "google-cloud-dataplex",
-    "version": "2.3.1"
+    "version": "0.1.0"
   },
   "snippets": [
+    {
+      "canonical": true,
+      "clientMethod": {
+        "async": true,
+        "client": {
+          "fullName": "google.cloud.dataplex_v1.CatalogServiceAsyncClient",
+          "shortName": "CatalogServiceAsyncClient"
+        },
+        "fullName": "google.cloud.dataplex_v1.CatalogServiceAsyncClient.cancel_metadata_job",
+        "method": {
+          "fullName": "google.cloud.dataplex.v1.CatalogService.CancelMetadataJob",
+          "service": {
+            "fullName": "google.cloud.dataplex.v1.CatalogService",
+            "shortName": "CatalogService"
+          },
+          "shortName": "CancelMetadataJob"
+        },
+        "parameters": [
+          {
+            "name": "request",
+            "type": "google.cloud.dataplex_v1.types.CancelMetadataJobRequest"
+          },
+          {
+            "name": "name",
+            "type": "str"
+          },
+          {
+            "name": "retry",
+            "type": "google.api_core.retry.Retry"
+          },
+          {
+            "name": "timeout",
+            "type": "float"
+          },
+          {
+            "name": "metadata",
+            "type": "Sequence[Tuple[str, str]"
+          }
+        ],
+        "shortName": "cancel_metadata_job"
+      },
+      "description": "Sample for CancelMetadataJob",
+      "file": "dataplex_v1_generated_catalog_service_cancel_metadata_job_async.py",
+      "language": "PYTHON",
+      "origin": "API_DEFINITION",
+      "regionTag": "dataplex_v1_generated_CatalogService_CancelMetadataJob_async",
+      "segments": [
+        {
+          "end": 49,
+          "start": 27,
+          "type": "FULL"
+        },
+        {
+          "end": 49,
+          "start": 27,
+          "type": "SHORT"
+        },
+        {
+          "end": 40,
+          "start": 38,
+          "type": "CLIENT_INITIALIZATION"
+        },
+        {
+          "end": 45,
+          "start": 41,
+          "type": "REQUEST_INITIALIZATION"
+        },
+        {
+          "start": 46,
+          "type": "REQUEST_EXECUTION"
+        },
+        {
+          "end": 50,
+          "type": "RESPONSE_HANDLING"
+        }
+      ],
+      "title": "dataplex_v1_generated_catalog_service_cancel_metadata_job_async.py"
+    },
+    {
+      "canonical": true,
+      "clientMethod": {
+        "client": {
+          "fullName": "google.cloud.dataplex_v1.CatalogServiceClient",
+          "shortName": "CatalogServiceClient"
+        },
+        "fullName": "google.cloud.dataplex_v1.CatalogServiceClient.cancel_metadata_job",
+        "method": {
+          "fullName": "google.cloud.dataplex.v1.CatalogService.CancelMetadataJob",
+          "service": {
+            "fullName": "google.cloud.dataplex.v1.CatalogService",
+            "shortName": "CatalogService"
+          },
+          "shortName": "CancelMetadataJob"
+        },
+        "parameters": [
+          {
+            "name": "request",
+            "type": "google.cloud.dataplex_v1.types.CancelMetadataJobRequest"
+          },
+          {
+            "name": "name",
+            "type": "str"
+          },
+          {
+            "name": "retry",
+            "type": "google.api_core.retry.Retry"
+          },
+          {
+            "name": "timeout",
+            "type": "float"
+          },
+          {
+            "name": "metadata",
+            "type": "Sequence[Tuple[str, str]"
+          }
+        ],
+        "shortName": "cancel_metadata_job"
+      },
+      "description": "Sample for CancelMetadataJob",
+      "file": "dataplex_v1_generated_catalog_service_cancel_metadata_job_sync.py",
+      "language": "PYTHON",
+      "origin": "API_DEFINITION",
+      "regionTag": "dataplex_v1_generated_CatalogService_CancelMetadataJob_sync",
+      "segments": [
+        {
+          "end": 49,
+          "start": 27,
+          "type": "FULL"
+        },
+        {
+          "end": 49,
+          "start": 27,
+          "type": "SHORT"
+        },
+        {
+          "end": 40,
+          "start": 38,
+          "type": "CLIENT_INITIALIZATION"
+        },
+        {
+          "end": 45,
+          "start": 41,
+          "type": "REQUEST_INITIALIZATION"
+        },
+        {
+          "start": 46,
+          "type": "REQUEST_EXECUTION"
+        },
+        {
+          "end": 50,
+          "type": "RESPONSE_HANDLING"
+        }
+      ],
+      "title": "dataplex_v1_generated_catalog_service_cancel_metadata_job_sync.py"
+    },
     {
       "canonical": true,
       "clientMethod": {
@@ -719,6 +874,183 @@
       ],
       "title": "dataplex_v1_generated_catalog_service_create_entry_sync.py"
     },
+    {
+      "canonical": true,
+      "clientMethod": {
+        "async": true,
+        "client": {
+          "fullName": "google.cloud.dataplex_v1.CatalogServiceAsyncClient",
+          "shortName": "CatalogServiceAsyncClient"
+        },
+        "fullName": "google.cloud.dataplex_v1.CatalogServiceAsyncClient.create_metadata_job",
+        "method": {
+          "fullName": "google.cloud.dataplex.v1.CatalogService.CreateMetadataJob",
+          "service": {
+            "fullName": "google.cloud.dataplex.v1.CatalogService",
+            "shortName": "CatalogService"
+          },
+          "shortName": "CreateMetadataJob"
+        },
+        "parameters": [
+          {
+            "name": "request",
+            "type": "google.cloud.dataplex_v1.types.CreateMetadataJobRequest"
+          },
+          {
+            "name": "parent",
+            "type": "str"
+          },
+          {
+            "name": "metadata_job",
+            "type": "google.cloud.dataplex_v1.types.MetadataJob"
+          },
+          {
+            "name": "metadata_job_id",
+            "type": "str"
+          },
+          {
+            "name": "retry",
+            "type": "google.api_core.retry.Retry"
+          },
+          {
+            "name": "timeout",
+            "type": "float"
+          },
+          {
+            "name": "metadata",
+            "type": "Sequence[Tuple[str, str]"
+          }
+        ],
+        "resultType": "google.api_core.operation_async.AsyncOperation",
+        "shortName": "create_metadata_job"
+      },
+      "description": "Sample for CreateMetadataJob",
+      "file": "dataplex_v1_generated_catalog_service_create_metadata_job_async.py",
+      "language": "PYTHON",
+      "origin": "API_DEFINITION",
+      "regionTag": "dataplex_v1_generated_CatalogService_CreateMetadataJob_async",
+      "segments": [
+        {
+          "end": 63,
+          "start": 27,
+          "type": "FULL"
+        },
+        {
+          "end": 63,
+          "start": 27,
+          "type": "SHORT"
+        },
+        {
+          "end": 40,
+          "start": 38,
+          "type": "CLIENT_INITIALIZATION"
+        },
+        {
+          "end": 53,
+          "start": 41,
+          "type": "REQUEST_INITIALIZATION"
+        },
+        {
+          "end": 60,
+          "start": 54,
+          "type": "REQUEST_EXECUTION"
+        },
+        {
+          "end": 64,
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+        "shortName": "create_metadata_job"
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@@ -1463,7 +1795,168 @@
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+            "shortName": "CatalogService"
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@@ -1482,14 +1975,14 @@
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+        "resultType": "google.cloud.dataplex_v1.types.EntryGroup",
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       },
-      "description": "Sample for GetAspectType",
-      "file": "dataplex_v1_generated_catalog_service_get_aspect_type_sync.py",
+      "description": "Sample for GetEntryGroup",
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@@ -1522,7 +2015,7 @@
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+      "title": "dataplex_v1_generated_catalog_service_get_entry_group_sync.py"
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@@ -1532,19 +2025,19 @@
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           "shortName": "CatalogServiceAsyncClient"
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             "shortName": "CatalogService"
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@@ -1563,14 +2056,14 @@
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-      "description": "Sample for GetEntryGroup",
-      "file": "dataplex_v1_generated_catalog_service_get_entry_group_async.py",
+      "description": "Sample for GetEntryType",
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@@ -1603,7 +2096,7 @@
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@@ -1612,19 +2105,19 @@
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@@ -1643,14 +2136,14 @@
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+        "resultType": "google.cloud.dataplex_v1.types.EntryType",
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-      "description": "Sample for GetEntryGroup",
-      "file": "dataplex_v1_generated_catalog_service_get_entry_group_sync.py",
+      "description": "Sample for GetEntryType",
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@@ -1683,7 +2176,7 @@
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@@ -1693,19 +2186,19 @@
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@@ -1724,14 +2217,14 @@
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+        "resultType": "google.cloud.dataplex_v1.types.Entry",
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-      "file": "dataplex_v1_generated_catalog_service_get_entry_type_async.py",
+      "description": "Sample for GetEntry",
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@@ -1773,19 +2266,19 @@
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@@ -1804,14 +2297,14 @@
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+        "resultType": "google.cloud.dataplex_v1.types.Entry",
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-      "file": "dataplex_v1_generated_catalog_service_get_entry_type_sync.py",
+      "description": "Sample for GetEntry",
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@@ -1854,19 +2347,19 @@
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@@ -1885,14 +2378,14 @@
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-      "file": "dataplex_v1_generated_catalog_service_get_entry_async.py",
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@@ -1925,7 +2418,7 @@
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@@ -1934,19 +2427,19 @@
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@@ -1965,14 +2458,14 @@
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+        "resultType": "google.cloud.dataplex_v1.types.MetadataJob",
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-      "description": "Sample for GetEntry",
-      "file": "dataplex_v1_generated_catalog_service_get_entry_sync.py",
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@@ -2005,7 +2498,7 @@
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@@ -2651,6 +3144,167 @@
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+            "shortName": "CatalogService"
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+          "shortName": "ListMetadataJobs"
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+            "type": "google.cloud.dataplex_v1.types.ListMetadataJobsRequest"
+          },
+          {
+            "name": "parent",
+            "type": "str"
+          },
+          {
+            "name": "retry",
+            "type": "google.api_core.retry.Retry"
+          },
+          {
+            "name": "timeout",
+            "type": "float"
+          },
+          {
+            "name": "metadata",
+            "type": "Sequence[Tuple[str, str]"
+          }
+        ],
+        "resultType": "google.cloud.dataplex_v1.services.catalog_service.pagers.ListMetadataJobsAsyncPager",
+        "shortName": "list_metadata_jobs"
+      },
+      "description": "Sample for ListMetadataJobs",
+      "file": "dataplex_v1_generated_catalog_service_list_metadata_jobs_async.py",
+      "language": "PYTHON",
+      "origin": "API_DEFINITION",
+      "regionTag": "dataplex_v1_generated_CatalogService_ListMetadataJobs_async",
+      "segments": [
+        {
+          "end": 52,
+          "start": 27,
+          "type": "FULL"
+        },
+        {
+          "end": 52,
+          "start": 27,
+          "type": "SHORT"
+        },
+        {
+          "end": 40,
+          "start": 38,
+          "type": "CLIENT_INITIALIZATION"
+        },
+        {
+          "end": 45,
+          "start": 41,
+          "type": "REQUEST_INITIALIZATION"
+        },
+        {
+          "end": 48,
+          "start": 46,
+          "type": "REQUEST_EXECUTION"
+        },
+        {
+          "end": 53,
+          "start": 49,
+          "type": "RESPONSE_HANDLING"
+        }
+      ],
+      "title": "dataplex_v1_generated_catalog_service_list_metadata_jobs_async.py"
+    },
+    {
+      "canonical": true,
+      "clientMethod": {
+        "client": {
+          "fullName": "google.cloud.dataplex_v1.CatalogServiceClient",
+          "shortName": "CatalogServiceClient"
+        },
+        "fullName": "google.cloud.dataplex_v1.CatalogServiceClient.list_metadata_jobs",
+        "method": {
+          "fullName": "google.cloud.dataplex.v1.CatalogService.ListMetadataJobs",
+          "service": {
+            "fullName": "google.cloud.dataplex.v1.CatalogService",
+            "shortName": "CatalogService"
+          },
+          "shortName": "ListMetadataJobs"
+        },
+        "parameters": [
+          {
+            "name": "request",
+            "type": "google.cloud.dataplex_v1.types.ListMetadataJobsRequest"
+          },
+          {
+            "name": "parent",
+            "type": "str"
+          },
+          {
+            "name": "retry",
+            "type": "google.api_core.retry.Retry"
+          },
+          {
+            "name": "timeout",
+            "type": "float"
+          },
+          {
+            "name": "metadata",
+            "type": "Sequence[Tuple[str, str]"
+          }
+        ],
+        "resultType": "google.cloud.dataplex_v1.services.catalog_service.pagers.ListMetadataJobsPager",
+        "shortName": "list_metadata_jobs"
+      },
+      "description": "Sample for ListMetadataJobs",
+      "file": "dataplex_v1_generated_catalog_service_list_metadata_jobs_sync.py",
+      "language": "PYTHON",
+      "origin": "API_DEFINITION",
+      "regionTag": "dataplex_v1_generated_CatalogService_ListMetadataJobs_sync",
+      "segments": [
+        {
+          "end": 52,
+          "start": 27,
+          "type": "FULL"
+        },
+        {
+          "end": 52,
+          "start": 27,
+          "type": "SHORT"
+        },
+        {
+          "end": 40,
+          "start": 38,
+          "type": "CLIENT_INITIALIZATION"
+        },
+        {
+          "end": 45,
+          "start": 41,
+          "type": "REQUEST_INITIALIZATION"
+        },
+        {
+          "end": 48,
+          "start": 46,
+          "type": "REQUEST_EXECUTION"
+        },
+        {
+          "end": 53,
+          "start": 49,
+          "type": "RESPONSE_HANDLING"
+        }
+      ],
+      "title": "dataplex_v1_generated_catalog_service_list_metadata_jobs_sync.py"
+    },
     {
       "canonical": true,
       "clientMethod": {
diff --git a/packages/google-cloud-dataplex/scripts/fixup_dataplex_v1_keywords.py b/packages/google-cloud-dataplex/scripts/fixup_dataplex_v1_keywords.py
index f5c81e4a5f46..6681941351bf 100644
--- a/packages/google-cloud-dataplex/scripts/fixup_dataplex_v1_keywords.py
+++ b/packages/google-cloud-dataplex/scripts/fixup_dataplex_v1_keywords.py
@@ -40,6 +40,7 @@ class dataplexCallTransformer(cst.CSTTransformer):
     CTRL_PARAMS: Tuple[str] = ('retry', 'timeout', 'metadata')
     METHOD_TO_PARAMS: Dict[str, Tuple[str]] = {
         'cancel_job': ('name', ),
+        'cancel_metadata_job': ('name', ),
         'create_aspect_type': ('parent', 'aspect_type_id', 'aspect_type', 'validate_only', ),
         'create_asset': ('parent', 'asset_id', 'asset', 'validate_only', ),
         'create_content': ('parent', 'content', 'validate_only', ),
@@ -53,6 +54,7 @@ class dataplexCallTransformer(cst.CSTTransformer):
         'create_entry_type': ('parent', 'entry_type_id', 'entry_type', 'validate_only', ),
         'create_environment': ('parent', 'environment_id', 'environment', 'validate_only', ),
         'create_lake': ('parent', 'lake_id', 'lake', 'validate_only', ),
+        'create_metadata_job': ('parent', 'metadata_job', 'metadata_job_id', 'validate_only', ),
         'create_partition': ('parent', 'partition', 'validate_only', ),
         'create_task': ('parent', 'task_id', 'task', 'validate_only', ),
         'create_zone': ('parent', 'zone_id', 'zone', 'validate_only', ),
@@ -89,6 +91,7 @@ class dataplexCallTransformer(cst.CSTTransformer):
         'get_iam_policy': ('resource', 'options', ),
         'get_job': ('name', ),
         'get_lake': ('name', ),
+        'get_metadata_job': ('name', ),
         'get_partition': ('name', ),
         'get_task': ('name', ),
         'get_zone': ('name', ),
@@ -109,6 +112,7 @@ class dataplexCallTransformer(cst.CSTTransformer):
         'list_jobs': ('parent', 'page_size', 'page_token', ),
         'list_lake_actions': ('parent', 'page_size', 'page_token', ),
         'list_lakes': ('parent', 'page_size', 'page_token', 'filter', 'order_by', ),
+        'list_metadata_jobs': ('parent', 'page_size', 'page_token', 'filter', 'order_by', ),
         'list_partitions': ('parent', 'page_size', 'page_token', 'filter', ),
         'list_sessions': ('parent', 'page_size', 'page_token', 'filter', ),
         'list_tasks': ('parent', 'page_size', 'page_token', 'filter', 'order_by', ),
diff --git a/packages/google-cloud-dataplex/tests/unit/gapic/dataplex_v1/test_catalog_service.py b/packages/google-cloud-dataplex/tests/unit/gapic/dataplex_v1/test_catalog_service.py
index 6198538a8234..72f4328e35a7 100644
--- a/packages/google-cloud-dataplex/tests/unit/gapic/dataplex_v1/test_catalog_service.py
+++ b/packages/google-cloud-dataplex/tests/unit/gapic/dataplex_v1/test_catalog_service.py
@@ -9568,6 +9568,1584 @@ async def test_search_entries_async_pages():
             assert page_.raw_page.next_page_token == token
 
 
+@pytest.mark.parametrize(
+    "request_type",
+    [
+        catalog.CreateMetadataJobRequest,
+        dict,
+    ],
+)
+def test_create_metadata_job(request_type, transport: str = "grpc"):
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+        type(client.transport.create_metadata_job), "__call__"
+    ) as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name="operations/spam")
+        response = client.create_metadata_job(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = catalog.CreateMetadataJobRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+def test_create_metadata_job_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = catalog.CreateMetadataJobRequest(
+        parent="parent_value",
+        metadata_job_id="metadata_job_id_value",
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+        type(client.transport.create_metadata_job), "__call__"
+    ) as call:
+        call.return_value.name = (
+            "foo"  # operation_request.operation in compute client(s) expect a string.
+        )
+        client.create_metadata_job(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == catalog.CreateMetadataJobRequest(
+            parent="parent_value",
+            metadata_job_id="metadata_job_id_value",
+        )
+
+
+def test_create_metadata_job_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = CatalogServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert (
+            client._transport.create_metadata_job in client._transport._wrapped_methods
+        )
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = (
+            "foo"  # operation_request.operation in compute client(s) expect a string.
+        )
+        client._transport._wrapped_methods[
+            client._transport.create_metadata_job
+        ] = mock_rpc
+        request = {}
+        client.create_metadata_job(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        client.create_metadata_job(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+
+@pytest.mark.asyncio
+async def test_create_metadata_job_async_use_cached_wrapped_rpc(
+    transport: str = "grpc_asyncio",
+):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = CatalogServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert (
+            client._client._transport.create_metadata_job
+            in client._client._transport._wrapped_methods
+        )
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[
+            client._client._transport.create_metadata_job
+        ] = mock_rpc
+
+        request = {}
+        await client.create_metadata_job(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        # Operation methods call wrapper_fn to build a cached
+        # client._transport.operations_client instance on first rpc call.
+        # Subsequent calls should use the cached wrapper
+        wrapper_fn.reset_mock()
+
+        await client.create_metadata_job(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+
+@pytest.mark.asyncio
+async def test_create_metadata_job_async(
+    transport: str = "grpc_asyncio", request_type=catalog.CreateMetadataJobRequest
+):
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+        type(client.transport.create_metadata_job), "__call__"
+    ) as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name="operations/spam")
+        )
+        response = await client.create_metadata_job(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = catalog.CreateMetadataJobRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+@pytest.mark.asyncio
+async def test_create_metadata_job_async_from_dict():
+    await test_create_metadata_job_async(request_type=dict)
+
+
+def test_create_metadata_job_field_headers():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.CreateMetadataJobRequest()
+
+    request.parent = "parent_value"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+        type(client.transport.create_metadata_job), "__call__"
+    ) as call:
+        call.return_value = operations_pb2.Operation(name="operations/op")
+        client.create_metadata_job(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        "x-goog-request-params",
+        "parent=parent_value",
+    ) in kw["metadata"]
+
+
+@pytest.mark.asyncio
+async def test_create_metadata_job_field_headers_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.CreateMetadataJobRequest()
+
+    request.parent = "parent_value"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+        type(client.transport.create_metadata_job), "__call__"
+    ) as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name="operations/op")
+        )
+        await client.create_metadata_job(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        "x-goog-request-params",
+        "parent=parent_value",
+    ) in kw["metadata"]
+
+
+def test_create_metadata_job_flattened():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+        type(client.transport.create_metadata_job), "__call__"
+    ) as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name="operations/op")
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.create_metadata_job(
+            parent="parent_value",
+            metadata_job=catalog.MetadataJob(name="name_value"),
+            metadata_job_id="metadata_job_id_value",
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = "parent_value"
+        assert arg == mock_val
+        arg = args[0].metadata_job
+        mock_val = catalog.MetadataJob(name="name_value")
+        assert arg == mock_val
+        arg = args[0].metadata_job_id
+        mock_val = "metadata_job_id_value"
+        assert arg == mock_val
+
+
+def test_create_metadata_job_flattened_error():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.create_metadata_job(
+            catalog.CreateMetadataJobRequest(),
+            parent="parent_value",
+            metadata_job=catalog.MetadataJob(name="name_value"),
+            metadata_job_id="metadata_job_id_value",
+        )
+
+
+@pytest.mark.asyncio
+async def test_create_metadata_job_flattened_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+        type(client.transport.create_metadata_job), "__call__"
+    ) as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name="operations/op")
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name="operations/spam")
+        )
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.create_metadata_job(
+            parent="parent_value",
+            metadata_job=catalog.MetadataJob(name="name_value"),
+            metadata_job_id="metadata_job_id_value",
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = "parent_value"
+        assert arg == mock_val
+        arg = args[0].metadata_job
+        mock_val = catalog.MetadataJob(name="name_value")
+        assert arg == mock_val
+        arg = args[0].metadata_job_id
+        mock_val = "metadata_job_id_value"
+        assert arg == mock_val
+
+
+@pytest.mark.asyncio
+async def test_create_metadata_job_flattened_error_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.create_metadata_job(
+            catalog.CreateMetadataJobRequest(),
+            parent="parent_value",
+            metadata_job=catalog.MetadataJob(name="name_value"),
+            metadata_job_id="metadata_job_id_value",
+        )
+
+
+@pytest.mark.parametrize(
+    "request_type",
+    [
+        catalog.GetMetadataJobRequest,
+        dict,
+    ],
+)
+def test_get_metadata_job(request_type, transport: str = "grpc"):
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_metadata_job), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = catalog.MetadataJob(
+            name="name_value",
+            uid="uid_value",
+            type_=catalog.MetadataJob.Type.IMPORT,
+        )
+        response = client.get_metadata_job(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = catalog.GetMetadataJobRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, catalog.MetadataJob)
+    assert response.name == "name_value"
+    assert response.uid == "uid_value"
+    assert response.type_ == catalog.MetadataJob.Type.IMPORT
+
+
+def test_get_metadata_job_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = catalog.GetMetadataJobRequest(
+        name="name_value",
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_metadata_job), "__call__") as call:
+        call.return_value.name = (
+            "foo"  # operation_request.operation in compute client(s) expect a string.
+        )
+        client.get_metadata_job(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == catalog.GetMetadataJobRequest(
+            name="name_value",
+        )
+
+
+def test_get_metadata_job_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = CatalogServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert client._transport.get_metadata_job in client._transport._wrapped_methods
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = (
+            "foo"  # operation_request.operation in compute client(s) expect a string.
+        )
+        client._transport._wrapped_methods[
+            client._transport.get_metadata_job
+        ] = mock_rpc
+        request = {}
+        client.get_metadata_job(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.get_metadata_job(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+
+@pytest.mark.asyncio
+async def test_get_metadata_job_async_use_cached_wrapped_rpc(
+    transport: str = "grpc_asyncio",
+):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = CatalogServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert (
+            client._client._transport.get_metadata_job
+            in client._client._transport._wrapped_methods
+        )
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[
+            client._client._transport.get_metadata_job
+        ] = mock_rpc
+
+        request = {}
+        await client.get_metadata_job(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.get_metadata_job(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+
+@pytest.mark.asyncio
+async def test_get_metadata_job_async(
+    transport: str = "grpc_asyncio", request_type=catalog.GetMetadataJobRequest
+):
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_metadata_job), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            catalog.MetadataJob(
+                name="name_value",
+                uid="uid_value",
+                type_=catalog.MetadataJob.Type.IMPORT,
+            )
+        )
+        response = await client.get_metadata_job(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = catalog.GetMetadataJobRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, catalog.MetadataJob)
+    assert response.name == "name_value"
+    assert response.uid == "uid_value"
+    assert response.type_ == catalog.MetadataJob.Type.IMPORT
+
+
+@pytest.mark.asyncio
+async def test_get_metadata_job_async_from_dict():
+    await test_get_metadata_job_async(request_type=dict)
+
+
+def test_get_metadata_job_field_headers():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.GetMetadataJobRequest()
+
+    request.name = "name_value"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_metadata_job), "__call__") as call:
+        call.return_value = catalog.MetadataJob()
+        client.get_metadata_job(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        "x-goog-request-params",
+        "name=name_value",
+    ) in kw["metadata"]
+
+
+@pytest.mark.asyncio
+async def test_get_metadata_job_field_headers_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.GetMetadataJobRequest()
+
+    request.name = "name_value"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_metadata_job), "__call__") as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.MetadataJob())
+        await client.get_metadata_job(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        "x-goog-request-params",
+        "name=name_value",
+    ) in kw["metadata"]
+
+
+def test_get_metadata_job_flattened():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_metadata_job), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = catalog.MetadataJob()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.get_metadata_job(
+            name="name_value",
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = "name_value"
+        assert arg == mock_val
+
+
+def test_get_metadata_job_flattened_error():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.get_metadata_job(
+            catalog.GetMetadataJobRequest(),
+            name="name_value",
+        )
+
+
+@pytest.mark.asyncio
+async def test_get_metadata_job_flattened_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_metadata_job), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = catalog.MetadataJob()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(catalog.MetadataJob())
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.get_metadata_job(
+            name="name_value",
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = "name_value"
+        assert arg == mock_val
+
+
+@pytest.mark.asyncio
+async def test_get_metadata_job_flattened_error_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.get_metadata_job(
+            catalog.GetMetadataJobRequest(),
+            name="name_value",
+        )
+
+
+@pytest.mark.parametrize(
+    "request_type",
+    [
+        catalog.ListMetadataJobsRequest,
+        dict,
+    ],
+)
+def test_list_metadata_jobs(request_type, transport: str = "grpc"):
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+        type(client.transport.list_metadata_jobs), "__call__"
+    ) as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = catalog.ListMetadataJobsResponse(
+            next_page_token="next_page_token_value",
+            unreachable_locations=["unreachable_locations_value"],
+        )
+        response = client.list_metadata_jobs(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = catalog.ListMetadataJobsRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, pagers.ListMetadataJobsPager)
+    assert response.next_page_token == "next_page_token_value"
+    assert response.unreachable_locations == ["unreachable_locations_value"]
+
+
+def test_list_metadata_jobs_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = catalog.ListMetadataJobsRequest(
+        parent="parent_value",
+        page_token="page_token_value",
+        filter="filter_value",
+        order_by="order_by_value",
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+        type(client.transport.list_metadata_jobs), "__call__"
+    ) as call:
+        call.return_value.name = (
+            "foo"  # operation_request.operation in compute client(s) expect a string.
+        )
+        client.list_metadata_jobs(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == catalog.ListMetadataJobsRequest(
+            parent="parent_value",
+            page_token="page_token_value",
+            filter="filter_value",
+            order_by="order_by_value",
+        )
+
+
+def test_list_metadata_jobs_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = CatalogServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert (
+            client._transport.list_metadata_jobs in client._transport._wrapped_methods
+        )
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = (
+            "foo"  # operation_request.operation in compute client(s) expect a string.
+        )
+        client._transport._wrapped_methods[
+            client._transport.list_metadata_jobs
+        ] = mock_rpc
+        request = {}
+        client.list_metadata_jobs(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.list_metadata_jobs(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+
+@pytest.mark.asyncio
+async def test_list_metadata_jobs_async_use_cached_wrapped_rpc(
+    transport: str = "grpc_asyncio",
+):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = CatalogServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert (
+            client._client._transport.list_metadata_jobs
+            in client._client._transport._wrapped_methods
+        )
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[
+            client._client._transport.list_metadata_jobs
+        ] = mock_rpc
+
+        request = {}
+        await client.list_metadata_jobs(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.list_metadata_jobs(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+
+@pytest.mark.asyncio
+async def test_list_metadata_jobs_async(
+    transport: str = "grpc_asyncio", request_type=catalog.ListMetadataJobsRequest
+):
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+        type(client.transport.list_metadata_jobs), "__call__"
+    ) as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            catalog.ListMetadataJobsResponse(
+                next_page_token="next_page_token_value",
+                unreachable_locations=["unreachable_locations_value"],
+            )
+        )
+        response = await client.list_metadata_jobs(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = catalog.ListMetadataJobsRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, pagers.ListMetadataJobsAsyncPager)
+    assert response.next_page_token == "next_page_token_value"
+    assert response.unreachable_locations == ["unreachable_locations_value"]
+
+
+@pytest.mark.asyncio
+async def test_list_metadata_jobs_async_from_dict():
+    await test_list_metadata_jobs_async(request_type=dict)
+
+
+def test_list_metadata_jobs_field_headers():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.ListMetadataJobsRequest()
+
+    request.parent = "parent_value"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+        type(client.transport.list_metadata_jobs), "__call__"
+    ) as call:
+        call.return_value = catalog.ListMetadataJobsResponse()
+        client.list_metadata_jobs(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        "x-goog-request-params",
+        "parent=parent_value",
+    ) in kw["metadata"]
+
+
+@pytest.mark.asyncio
+async def test_list_metadata_jobs_field_headers_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.ListMetadataJobsRequest()
+
+    request.parent = "parent_value"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+        type(client.transport.list_metadata_jobs), "__call__"
+    ) as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            catalog.ListMetadataJobsResponse()
+        )
+        await client.list_metadata_jobs(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        "x-goog-request-params",
+        "parent=parent_value",
+    ) in kw["metadata"]
+
+
+def test_list_metadata_jobs_flattened():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+        type(client.transport.list_metadata_jobs), "__call__"
+    ) as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = catalog.ListMetadataJobsResponse()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.list_metadata_jobs(
+            parent="parent_value",
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = "parent_value"
+        assert arg == mock_val
+
+
+def test_list_metadata_jobs_flattened_error():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.list_metadata_jobs(
+            catalog.ListMetadataJobsRequest(),
+            parent="parent_value",
+        )
+
+
+@pytest.mark.asyncio
+async def test_list_metadata_jobs_flattened_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+        type(client.transport.list_metadata_jobs), "__call__"
+    ) as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = catalog.ListMetadataJobsResponse()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            catalog.ListMetadataJobsResponse()
+        )
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.list_metadata_jobs(
+            parent="parent_value",
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = "parent_value"
+        assert arg == mock_val
+
+
+@pytest.mark.asyncio
+async def test_list_metadata_jobs_flattened_error_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.list_metadata_jobs(
+            catalog.ListMetadataJobsRequest(),
+            parent="parent_value",
+        )
+
+
+def test_list_metadata_jobs_pager(transport_name: str = "grpc"):
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport_name,
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+        type(client.transport.list_metadata_jobs), "__call__"
+    ) as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            catalog.ListMetadataJobsResponse(
+                metadata_jobs=[
+                    catalog.MetadataJob(),
+                    catalog.MetadataJob(),
+                    catalog.MetadataJob(),
+                ],
+                next_page_token="abc",
+            ),
+            catalog.ListMetadataJobsResponse(
+                metadata_jobs=[],
+                next_page_token="def",
+            ),
+            catalog.ListMetadataJobsResponse(
+                metadata_jobs=[
+                    catalog.MetadataJob(),
+                ],
+                next_page_token="ghi",
+            ),
+            catalog.ListMetadataJobsResponse(
+                metadata_jobs=[
+                    catalog.MetadataJob(),
+                    catalog.MetadataJob(),
+                ],
+            ),
+            RuntimeError,
+        )
+
+        expected_metadata = ()
+        retry = retries.Retry()
+        timeout = 5
+        expected_metadata = tuple(expected_metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((("parent", ""),)),
+        )
+        pager = client.list_metadata_jobs(request={}, retry=retry, timeout=timeout)
+
+        assert pager._metadata == expected_metadata
+        assert pager._retry == retry
+        assert pager._timeout == timeout
+
+        results = list(pager)
+        assert len(results) == 6
+        assert all(isinstance(i, catalog.MetadataJob) for i in results)
+
+
+def test_list_metadata_jobs_pages(transport_name: str = "grpc"):
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport_name,
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+        type(client.transport.list_metadata_jobs), "__call__"
+    ) as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            catalog.ListMetadataJobsResponse(
+                metadata_jobs=[
+                    catalog.MetadataJob(),
+                    catalog.MetadataJob(),
+                    catalog.MetadataJob(),
+                ],
+                next_page_token="abc",
+            ),
+            catalog.ListMetadataJobsResponse(
+                metadata_jobs=[],
+                next_page_token="def",
+            ),
+            catalog.ListMetadataJobsResponse(
+                metadata_jobs=[
+                    catalog.MetadataJob(),
+                ],
+                next_page_token="ghi",
+            ),
+            catalog.ListMetadataJobsResponse(
+                metadata_jobs=[
+                    catalog.MetadataJob(),
+                    catalog.MetadataJob(),
+                ],
+            ),
+            RuntimeError,
+        )
+        pages = list(client.list_metadata_jobs(request={}).pages)
+        for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
+            assert page_.raw_page.next_page_token == token
+
+
+@pytest.mark.asyncio
+async def test_list_metadata_jobs_async_pager():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+        type(client.transport.list_metadata_jobs),
+        "__call__",
+        new_callable=mock.AsyncMock,
+    ) as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            catalog.ListMetadataJobsResponse(
+                metadata_jobs=[
+                    catalog.MetadataJob(),
+                    catalog.MetadataJob(),
+                    catalog.MetadataJob(),
+                ],
+                next_page_token="abc",
+            ),
+            catalog.ListMetadataJobsResponse(
+                metadata_jobs=[],
+                next_page_token="def",
+            ),
+            catalog.ListMetadataJobsResponse(
+                metadata_jobs=[
+                    catalog.MetadataJob(),
+                ],
+                next_page_token="ghi",
+            ),
+            catalog.ListMetadataJobsResponse(
+                metadata_jobs=[
+                    catalog.MetadataJob(),
+                    catalog.MetadataJob(),
+                ],
+            ),
+            RuntimeError,
+        )
+        async_pager = await client.list_metadata_jobs(
+            request={},
+        )
+        assert async_pager.next_page_token == "abc"
+        responses = []
+        async for response in async_pager:  # pragma: no branch
+            responses.append(response)
+
+        assert len(responses) == 6
+        assert all(isinstance(i, catalog.MetadataJob) for i in responses)
+
+
+@pytest.mark.asyncio
+async def test_list_metadata_jobs_async_pages():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+        type(client.transport.list_metadata_jobs),
+        "__call__",
+        new_callable=mock.AsyncMock,
+    ) as call:
+        # Set the response to a series of pages.
+        call.side_effect = (
+            catalog.ListMetadataJobsResponse(
+                metadata_jobs=[
+                    catalog.MetadataJob(),
+                    catalog.MetadataJob(),
+                    catalog.MetadataJob(),
+                ],
+                next_page_token="abc",
+            ),
+            catalog.ListMetadataJobsResponse(
+                metadata_jobs=[],
+                next_page_token="def",
+            ),
+            catalog.ListMetadataJobsResponse(
+                metadata_jobs=[
+                    catalog.MetadataJob(),
+                ],
+                next_page_token="ghi",
+            ),
+            catalog.ListMetadataJobsResponse(
+                metadata_jobs=[
+                    catalog.MetadataJob(),
+                    catalog.MetadataJob(),
+                ],
+            ),
+            RuntimeError,
+        )
+        pages = []
+        # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch`
+        # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372
+        async for page_ in (  # pragma: no branch
+            await client.list_metadata_jobs(request={})
+        ).pages:
+            pages.append(page_)
+        for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
+            assert page_.raw_page.next_page_token == token
+
+
+@pytest.mark.parametrize(
+    "request_type",
+    [
+        catalog.CancelMetadataJobRequest,
+        dict,
+    ],
+)
+def test_cancel_metadata_job(request_type, transport: str = "grpc"):
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+        type(client.transport.cancel_metadata_job), "__call__"
+    ) as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = None
+        response = client.cancel_metadata_job(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        request = catalog.CancelMetadataJobRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert response is None
+
+
+def test_cancel_metadata_job_non_empty_request_with_auto_populated_field():
+    # This test is a coverage failsafe to make sure that UUID4 fields are
+    # automatically populated, according to AIP-4235, with non-empty requests.
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Populate all string fields in the request which are not UUID4
+    # since we want to check that UUID4 are populated automatically
+    # if they meet the requirements of AIP 4235.
+    request = catalog.CancelMetadataJobRequest(
+        name="name_value",
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+        type(client.transport.cancel_metadata_job), "__call__"
+    ) as call:
+        call.return_value.name = (
+            "foo"  # operation_request.operation in compute client(s) expect a string.
+        )
+        client.cancel_metadata_job(request=request)
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == catalog.CancelMetadataJobRequest(
+            name="name_value",
+        )
+
+
+def test_cancel_metadata_job_use_cached_wrapped_rpc():
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method.wrap_method") as wrapper_fn:
+        client = CatalogServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport="grpc",
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert (
+            client._transport.cancel_metadata_job in client._transport._wrapped_methods
+        )
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.Mock()
+        mock_rpc.return_value.name = (
+            "foo"  # operation_request.operation in compute client(s) expect a string.
+        )
+        client._transport._wrapped_methods[
+            client._transport.cancel_metadata_job
+        ] = mock_rpc
+        request = {}
+        client.cancel_metadata_job(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        client.cancel_metadata_job(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+
+@pytest.mark.asyncio
+async def test_cancel_metadata_job_async_use_cached_wrapped_rpc(
+    transport: str = "grpc_asyncio",
+):
+    # Clients should use _prep_wrapped_messages to create cached wrapped rpcs,
+    # instead of constructing them on each call
+    with mock.patch("google.api_core.gapic_v1.method_async.wrap_method") as wrapper_fn:
+        client = CatalogServiceAsyncClient(
+            credentials=async_anonymous_credentials(),
+            transport=transport,
+        )
+
+        # Should wrap all calls on client creation
+        assert wrapper_fn.call_count > 0
+        wrapper_fn.reset_mock()
+
+        # Ensure method has been cached
+        assert (
+            client._client._transport.cancel_metadata_job
+            in client._client._transport._wrapped_methods
+        )
+
+        # Replace cached wrapped function with mock
+        mock_rpc = mock.AsyncMock()
+        mock_rpc.return_value = mock.Mock()
+        client._client._transport._wrapped_methods[
+            client._client._transport.cancel_metadata_job
+        ] = mock_rpc
+
+        request = {}
+        await client.cancel_metadata_job(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert mock_rpc.call_count == 1
+
+        await client.cancel_metadata_job(request)
+
+        # Establish that a new wrapper was not created for this call
+        assert wrapper_fn.call_count == 0
+        assert mock_rpc.call_count == 2
+
+
+@pytest.mark.asyncio
+async def test_cancel_metadata_job_async(
+    transport: str = "grpc_asyncio", request_type=catalog.CancelMetadataJobRequest
+):
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+        type(client.transport.cancel_metadata_job), "__call__"
+    ) as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
+        response = await client.cancel_metadata_job(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        request = catalog.CancelMetadataJobRequest()
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert response is None
+
+
+@pytest.mark.asyncio
+async def test_cancel_metadata_job_async_from_dict():
+    await test_cancel_metadata_job_async(request_type=dict)
+
+
+def test_cancel_metadata_job_field_headers():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.CancelMetadataJobRequest()
+
+    request.name = "name_value"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+        type(client.transport.cancel_metadata_job), "__call__"
+    ) as call:
+        call.return_value = None
+        client.cancel_metadata_job(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        "x-goog-request-params",
+        "name=name_value",
+    ) in kw["metadata"]
+
+
+@pytest.mark.asyncio
+async def test_cancel_metadata_job_field_headers_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = catalog.CancelMetadataJobRequest()
+
+    request.name = "name_value"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+        type(client.transport.cancel_metadata_job), "__call__"
+    ) as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
+        await client.cancel_metadata_job(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        "x-goog-request-params",
+        "name=name_value",
+    ) in kw["metadata"]
+
+
+def test_cancel_metadata_job_flattened():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+        type(client.transport.cancel_metadata_job), "__call__"
+    ) as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = None
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.cancel_metadata_job(
+            name="name_value",
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = "name_value"
+        assert arg == mock_val
+
+
+def test_cancel_metadata_job_flattened_error():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.cancel_metadata_job(
+            catalog.CancelMetadataJobRequest(),
+            name="name_value",
+        )
+
+
+@pytest.mark.asyncio
+async def test_cancel_metadata_job_flattened_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+        type(client.transport.cancel_metadata_job), "__call__"
+    ) as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = None
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.cancel_metadata_job(
+            name="name_value",
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].name
+        mock_val = "name_value"
+        assert arg == mock_val
+
+
+@pytest.mark.asyncio
+async def test_cancel_metadata_job_flattened_error_async():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.cancel_metadata_job(
+            catalog.CancelMetadataJobRequest(),
+            name="name_value",
+        )
+
+
 def test_credentials_transport_error():
     # It is an error to provide credentials and a transport instance.
     transport = transports.CatalogServiceGrpcTransport(
@@ -10157,6 +11735,96 @@ def test_search_entries_empty_call_grpc():
         assert args[0] == request_msg
 
 
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_create_metadata_job_empty_call_grpc():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+        type(client.transport.create_metadata_job), "__call__"
+    ) as call:
+        call.return_value = operations_pb2.Operation(name="operations/op")
+        client.create_metadata_job(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.CreateMetadataJobRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_get_metadata_job_empty_call_grpc():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(type(client.transport.get_metadata_job), "__call__") as call:
+        call.return_value = catalog.MetadataJob()
+        client.get_metadata_job(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.GetMetadataJobRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_list_metadata_jobs_empty_call_grpc():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+        type(client.transport.list_metadata_jobs), "__call__"
+    ) as call:
+        call.return_value = catalog.ListMetadataJobsResponse()
+        client.list_metadata_jobs(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.ListMetadataJobsRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+def test_cancel_metadata_job_empty_call_grpc():
+    client = CatalogServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+        type(client.transport.cancel_metadata_job), "__call__"
+    ) as call:
+        call.return_value = None
+        client.cancel_metadata_job(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.CancelMetadataJobRequest()
+
+        assert args[0] == request_msg
+
+
 def test_transport_kind_grpc_asyncio():
     transport = CatalogServiceAsyncClient.get_transport_class("grpc_asyncio")(
         credentials=async_anonymous_credentials()
@@ -10806,6 +12474,117 @@ async def test_search_entries_empty_call_grpc_asyncio():
         assert args[0] == request_msg
 
 
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_create_metadata_job_empty_call_grpc_asyncio():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+        type(client.transport.create_metadata_job), "__call__"
+    ) as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name="operations/spam")
+        )
+        await client.create_metadata_job(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.CreateMetadataJobRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_get_metadata_job_empty_call_grpc_asyncio():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(type(client.transport.get_metadata_job), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            catalog.MetadataJob(
+                name="name_value",
+                uid="uid_value",
+                type_=catalog.MetadataJob.Type.IMPORT,
+            )
+        )
+        await client.get_metadata_job(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.GetMetadataJobRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_list_metadata_jobs_empty_call_grpc_asyncio():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+        type(client.transport.list_metadata_jobs), "__call__"
+    ) as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            catalog.ListMetadataJobsResponse(
+                next_page_token="next_page_token_value",
+                unreachable_locations=["unreachable_locations_value"],
+            )
+        )
+        await client.list_metadata_jobs(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.ListMetadataJobsRequest()
+
+        assert args[0] == request_msg
+
+
+# This test is a coverage failsafe to make sure that totally empty calls,
+# i.e. request == None and no flattened fields passed, work.
+@pytest.mark.asyncio
+async def test_cancel_metadata_job_empty_call_grpc_asyncio():
+    client = CatalogServiceAsyncClient(
+        credentials=async_anonymous_credentials(),
+        transport="grpc_asyncio",
+    )
+
+    # Mock the actual call, and fake the request.
+    with mock.patch.object(
+        type(client.transport.cancel_metadata_job), "__call__"
+    ) as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
+        await client.cancel_metadata_job(request=None)
+
+        # Establish that the underlying stub method was called.
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        request_msg = catalog.CancelMetadataJobRequest()
+
+        assert args[0] == request_msg
+
+
 def test_transport_grpc_default():
     # A client should use the gRPC transport by default.
     client = CatalogServiceClient(
@@ -10861,6 +12640,10 @@ def test_catalog_service_base_transport():
         "get_entry",
         "lookup_entry",
         "search_entries",
+        "create_metadata_job",
+        "get_metadata_job",
+        "list_metadata_jobs",
+        "cancel_metadata_job",
         "get_location",
         "list_locations",
         "get_operation",
@@ -11362,8 +13145,36 @@ def test_parse_entry_type_path():
     assert expected == actual
 
 
+def test_metadata_job_path():
+    project = "whelk"
+    location = "octopus"
+    metadataJob = "oyster"
+    expected = (
+        "projects/{project}/locations/{location}/metadataJobs/{metadataJob}".format(
+            project=project,
+            location=location,
+            metadataJob=metadataJob,
+        )
+    )
+    actual = CatalogServiceClient.metadata_job_path(project, location, metadataJob)
+    assert expected == actual
+
+
+def test_parse_metadata_job_path():
+    expected = {
+        "project": "nudibranch",
+        "location": "cuttlefish",
+        "metadataJob": "mussel",
+    }
+    path = CatalogServiceClient.metadata_job_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = CatalogServiceClient.parse_metadata_job_path(path)
+    assert expected == actual
+
+
 def test_common_billing_account_path():
-    billing_account = "whelk"
+    billing_account = "winkle"
     expected = "billingAccounts/{billing_account}".format(
         billing_account=billing_account,
     )
@@ -11373,7 +13184,7 @@ def test_common_billing_account_path():
 
 def test_parse_common_billing_account_path():
     expected = {
-        "billing_account": "octopus",
+        "billing_account": "nautilus",
     }
     path = CatalogServiceClient.common_billing_account_path(**expected)
 
@@ -11383,7 +13194,7 @@ def test_parse_common_billing_account_path():
 
 
 def test_common_folder_path():
-    folder = "oyster"
+    folder = "scallop"
     expected = "folders/{folder}".format(
         folder=folder,
     )
@@ -11393,7 +13204,7 @@ def test_common_folder_path():
 
 def test_parse_common_folder_path():
     expected = {
-        "folder": "nudibranch",
+        "folder": "abalone",
     }
     path = CatalogServiceClient.common_folder_path(**expected)
 
@@ -11403,7 +13214,7 @@ def test_parse_common_folder_path():
 
 
 def test_common_organization_path():
-    organization = "cuttlefish"
+    organization = "squid"
     expected = "organizations/{organization}".format(
         organization=organization,
     )
@@ -11413,7 +13224,7 @@ def test_common_organization_path():
 
 def test_parse_common_organization_path():
     expected = {
-        "organization": "mussel",
+        "organization": "clam",
     }
     path = CatalogServiceClient.common_organization_path(**expected)
 
@@ -11423,7 +13234,7 @@ def test_parse_common_organization_path():
 
 
 def test_common_project_path():
-    project = "winkle"
+    project = "whelk"
     expected = "projects/{project}".format(
         project=project,
     )
@@ -11433,7 +13244,7 @@ def test_common_project_path():
 
 def test_parse_common_project_path():
     expected = {
-        "project": "nautilus",
+        "project": "octopus",
     }
     path = CatalogServiceClient.common_project_path(**expected)
 
@@ -11443,8 +13254,8 @@ def test_parse_common_project_path():
 
 
 def test_common_location_path():
-    project = "scallop"
-    location = "abalone"
+    project = "oyster"
+    location = "nudibranch"
     expected = "projects/{project}/locations/{location}".format(
         project=project,
         location=location,
@@ -11455,8 +13266,8 @@ def test_common_location_path():
 
 def test_parse_common_location_path():
     expected = {
-        "project": "squid",
-        "location": "clam",
+        "project": "cuttlefish",
+        "location": "mussel",
     }
     path = CatalogServiceClient.common_location_path(**expected)
 
diff --git a/packages/google-cloud-dataplex/tests/unit/gapic/dataplex_v1/test_data_scan_service.py b/packages/google-cloud-dataplex/tests/unit/gapic/dataplex_v1/test_data_scan_service.py
index ada3a77c02bd..2dc3372cf740 100644
--- a/packages/google-cloud-dataplex/tests/unit/gapic/dataplex_v1/test_data_scan_service.py
+++ b/packages/google-cloud-dataplex/tests/unit/gapic/dataplex_v1/test_data_scan_service.py
@@ -71,6 +71,7 @@
     transports,
 )
 from google.cloud.dataplex_v1.types import (
+    data_discovery,
     data_profile,
     data_quality,
     datascans,
@@ -5508,10 +5509,38 @@ def test_data_scan_service_grpc_lro_async_client():
     assert transport.operations_client is transport.operations_client
 
 
-def test_data_scan_path():
+def test_connection_path():
     project = "squid"
     location = "clam"
-    dataScan = "whelk"
+    connection = "whelk"
+    expected = (
+        "projects/{project}/locations/{location}/connections/{connection}".format(
+            project=project,
+            location=location,
+            connection=connection,
+        )
+    )
+    actual = DataScanServiceClient.connection_path(project, location, connection)
+    assert expected == actual
+
+
+def test_parse_connection_path():
+    expected = {
+        "project": "octopus",
+        "location": "oyster",
+        "connection": "nudibranch",
+    }
+    path = DataScanServiceClient.connection_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = DataScanServiceClient.parse_connection_path(path)
+    assert expected == actual
+
+
+def test_data_scan_path():
+    project = "cuttlefish"
+    location = "mussel"
+    dataScan = "winkle"
     expected = "projects/{project}/locations/{location}/dataScans/{dataScan}".format(
         project=project,
         location=location,
@@ -5523,9 +5552,9 @@ def test_data_scan_path():
 
 def test_parse_data_scan_path():
     expected = {
-        "project": "octopus",
-        "location": "oyster",
-        "dataScan": "nudibranch",
+        "project": "nautilus",
+        "location": "scallop",
+        "dataScan": "abalone",
     }
     path = DataScanServiceClient.data_scan_path(**expected)
 
@@ -5535,10 +5564,10 @@ def test_parse_data_scan_path():
 
 
 def test_data_scan_job_path():
-    project = "cuttlefish"
-    location = "mussel"
-    dataScan = "winkle"
-    job = "nautilus"
+    project = "squid"
+    location = "clam"
+    dataScan = "whelk"
+    job = "octopus"
     expected = "projects/{project}/locations/{location}/dataScans/{dataScan}/jobs/{job}".format(
         project=project,
         location=location,
@@ -5551,10 +5580,10 @@ def test_data_scan_job_path():
 
 def test_parse_data_scan_job_path():
     expected = {
-        "project": "scallop",
-        "location": "abalone",
-        "dataScan": "squid",
-        "job": "clam",
+        "project": "oyster",
+        "location": "nudibranch",
+        "dataScan": "cuttlefish",
+        "job": "mussel",
     }
     path = DataScanServiceClient.data_scan_job_path(**expected)
 
@@ -5563,12 +5592,35 @@ def test_parse_data_scan_job_path():
     assert expected == actual
 
 
+def test_dataset_path():
+    project = "winkle"
+    dataset = "nautilus"
+    expected = "projects/{project}/datasets/{dataset}".format(
+        project=project,
+        dataset=dataset,
+    )
+    actual = DataScanServiceClient.dataset_path(project, dataset)
+    assert expected == actual
+
+
+def test_parse_dataset_path():
+    expected = {
+        "project": "scallop",
+        "dataset": "abalone",
+    }
+    path = DataScanServiceClient.dataset_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = DataScanServiceClient.parse_dataset_path(path)
+    assert expected == actual
+
+
 def test_entity_path():
-    project = "whelk"
-    location = "octopus"
-    lake = "oyster"
-    zone = "nudibranch"
-    entity = "cuttlefish"
+    project = "squid"
+    location = "clam"
+    lake = "whelk"
+    zone = "octopus"
+    entity = "oyster"
     expected = "projects/{project}/locations/{location}/lakes/{lake}/zones/{zone}/entities/{entity}".format(
         project=project,
         location=location,
@@ -5582,11 +5634,11 @@ def test_entity_path():
 
 def test_parse_entity_path():
     expected = {
-        "project": "mussel",
-        "location": "winkle",
-        "lake": "nautilus",
-        "zone": "scallop",
-        "entity": "abalone",
+        "project": "nudibranch",
+        "location": "cuttlefish",
+        "lake": "mussel",
+        "zone": "winkle",
+        "entity": "nautilus",
     }
     path = DataScanServiceClient.entity_path(**expected)
 
@@ -5596,7 +5648,7 @@ def test_parse_entity_path():
 
 
 def test_common_billing_account_path():
-    billing_account = "squid"
+    billing_account = "scallop"
     expected = "billingAccounts/{billing_account}".format(
         billing_account=billing_account,
     )
@@ -5606,7 +5658,7 @@ def test_common_billing_account_path():
 
 def test_parse_common_billing_account_path():
     expected = {
-        "billing_account": "clam",
+        "billing_account": "abalone",
     }
     path = DataScanServiceClient.common_billing_account_path(**expected)
 
@@ -5616,7 +5668,7 @@ def test_parse_common_billing_account_path():
 
 
 def test_common_folder_path():
-    folder = "whelk"
+    folder = "squid"
     expected = "folders/{folder}".format(
         folder=folder,
     )
@@ -5626,7 +5678,7 @@ def test_common_folder_path():
 
 def test_parse_common_folder_path():
     expected = {
-        "folder": "octopus",
+        "folder": "clam",
     }
     path = DataScanServiceClient.common_folder_path(**expected)
 
@@ -5636,7 +5688,7 @@ def test_parse_common_folder_path():
 
 
 def test_common_organization_path():
-    organization = "oyster"
+    organization = "whelk"
     expected = "organizations/{organization}".format(
         organization=organization,
     )
@@ -5646,7 +5698,7 @@ def test_common_organization_path():
 
 def test_parse_common_organization_path():
     expected = {
-        "organization": "nudibranch",
+        "organization": "octopus",
     }
     path = DataScanServiceClient.common_organization_path(**expected)
 
@@ -5656,7 +5708,7 @@ def test_parse_common_organization_path():
 
 
 def test_common_project_path():
-    project = "cuttlefish"
+    project = "oyster"
     expected = "projects/{project}".format(
         project=project,
     )
@@ -5666,7 +5718,7 @@ def test_common_project_path():
 
 def test_parse_common_project_path():
     expected = {
-        "project": "mussel",
+        "project": "nudibranch",
     }
     path = DataScanServiceClient.common_project_path(**expected)
 
@@ -5676,8 +5728,8 @@ def test_parse_common_project_path():
 
 
 def test_common_location_path():
-    project = "winkle"
-    location = "nautilus"
+    project = "cuttlefish"
+    location = "mussel"
     expected = "projects/{project}/locations/{location}".format(
         project=project,
         location=location,
@@ -5688,8 +5740,8 @@ def test_common_location_path():
 
 def test_parse_common_location_path():
     expected = {
-        "project": "scallop",
-        "location": "abalone",
+        "project": "winkle",
+        "location": "nautilus",
     }
     path = DataScanServiceClient.common_location_path(**expected)